[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fen-in\u002Fjobs-by-skill\u002Faws?page=5":3,"seo-content-skill-aws-in":792,"skill-page-filters-\u002Fen-in\u002Fjobs-by-skill\u002Faws?page=5":822,"featured-jobs-\u002Fen-in\u002Fjobs-by-skill\u002Faws?page=5":1005},{"total":4,"jobs":5},148,[6,57,106,150,191,259,307,372,424,450,494,546,562,611,633,656,685,700,733,759],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":44,"processed_job_expertise_skills_labels":45,"max_cpc":56,"actual_cpc":56},78916,"senior-associate-application-lead-tiaa-global-capabilities-private-limited","Senior Associate - Application Lead",null,false,{"name":13,"slug":14,"logo_url":10},"TIAA Global Capabilities Private Limited","tiaa-global-capabilities-private-limited",[16],"Pune",[18],"IN","onsite",120000,180000,"USD","estimated",[25],"FULL_TIME","permanent",{"aws":28,"devops":29,"python":28,"programming":28,"ibm websphere":29,"tibco middleware":29,"agile methodology":29,"software development":28,"web application development":29,"operating systems management":29,"software development life cycle":29,"enterprise application integration":29,"continuous integration and deployment":29},4,3,[31,32,33,34,35,36,37,38,39,40,41,42,43],"Python","AWS","Tibco Middleware","IBM WebSphere","Agile Methodology","Continuous Integration and Deployment","DevOps","Enterprise Application Integration","Operating Systems Management","Programming","Software Development","Software Development Life Cycle","Web Application Development",{"debugging":29,"data analysis":29,"llm frameworks":28,"ai system scaling":28,"prompt engineering":28,"security compliance":29,"ai system deployment":28,"ai system management":28,"data privacy compliance":29,"responsible ai guidelines":29},[46,47,48,49,50,51,52,53,54,55],"AI System Deployment","AI System Management","AI System Scaling","Prompt Engineering","LLM Frameworks","Data Privacy Compliance","Security Compliance","Responsible AI Guidelines","Data Analysis","Debugging",1,{"id":58,"slug":59,"title":60,"raw_title":10,"is_featured":11,"company":61,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":62,"processed_country_iso_code_gmaps":64,"processed_home_office":19,"processed_salary_min":65,"processed_salary_max":66,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":67,"processed_employment_types":26,"processed_it_skills":68,"processed_it_skills_labels":69,"processed_job_expertise_skills":82,"processed_job_expertise_skills_labels":83,"max_cpc":56,"actual_cpc":56},78897,"director-product-manager-lakehouse-asset-management-tiaa-global-capabilities-private-limited","Director - Product Manager - Lakehouse (Asset Management)",{"name":13,"slug":14,"logo_url":10},[63],"Mumbai",[18],150000,250000,[25],{"aws":28,"agile":29,"devops":29,"finops":29,"bedrock":29,"data mesh":29,"sagemaker":29,"programming":29,"software testing":29,"modern data stack":29,"data infrastructure":28,"systems design\u002Fanalysis":29,"ai\u002Fml platform integration":29,"data lakehouse architecture":28,"systems development life cycle":29,"software development life cycle":29,"enterprise application integration":29,"continuous integration and deployment":29},[32,70,71,72,73,74,75,76,77,78,36,37,38,40,42,79,80,81],"SageMaker","Bedrock","Data Lakehouse Architecture","Data Mesh","Modern Data Stack","Data Infrastructure","AI\u002FML Platform Integration","FinOps","Agile","Software Testing","Systems Design\u002FAnalysis","Systems Development Life Cycle",{"audit":28,"compliance":28,"benchmarking":28,"roi analysis":28,"data governance":28,"risk management":28,"asset management":28,"roadmap ownership":28,"financial services":28,"product management":28,"program management":28,"incident management":28,"root cause analysis":28,"regulatory knowledge":28,"cost\u002Fbenefit analysis":28,"investment management":28,"build-vs-buy decisions":28,"data platform strategy":28,"platform success metrics":28,"business case development":28,"modernization initiatives":28,"enterprise architecture governance":28},[84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105],"Product Management","Data Platform Strategy","Roadmap Ownership","Business Case Development","ROI Analysis","Build-vs-Buy Decisions","Cost\u002FBenefit Analysis","Enterprise Architecture Governance","Data Governance","Risk Management","Compliance","Audit","Program Management","Asset Management","Financial Services","Investment Management","Regulatory Knowledge","Platform Success Metrics","Incident Management","Root Cause Analysis","Benchmarking","Modernization Initiatives",{"id":107,"slug":108,"title":109,"raw_title":10,"is_featured":11,"company":110,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":113,"processed_country_iso_code_gmaps":115,"processed_home_office":116,"processed_salary_min":117,"processed_salary_max":118,"processed_salary_currency":119,"processed_salary_source":23,"processed_working_hours":120,"processed_employment_types":26,"processed_it_skills":121,"processed_it_skills_labels":122,"processed_job_expertise_skills":134,"processed_job_expertise_skills_labels":135,"max_cpc":56,"actual_cpc":56},73820,"prin-eng-i-invest-tech-invesco-india-private-limited-sez-unit","Prin. Eng. I, Invest Tech",{"name":111,"slug":112,"logo_url":10},"Invesco (India) Private Limited - SEZ Unit","invesco-india-private-limited-sez-unit",[114],"Hyderabad",[18],"hybrid",3000000,5000000,"INR",[25],{"aws":28,"sql":28,"uac":29,"java":28,"linux":28,"react":29,"aladdin":29,"autosys":29,"snowflake":28,"spring boot":28,"charles river":29,"api development":29},[123,32,124,125,126,127,128,129,130,131,132,133],"Java","SQL","Snowflake","Spring Boot","Linux","React","API Development","AutoSys","UAC","Charles River","Aladdin",{"scrum":28,"kanban":28,"code review":28,"design review":28,"etf knowledge":28,"risk management":28,"trading systems":28,"asset management":28,"agile methodologies":28,"distributed systems":28,"systems development":28,"technical leadership":28,"software architecture":28,"continuous integration":28,"engineering best practices":28,"securities industry knowledge":28,"enterprise application integration":28},[136,137,138,139,140,141,38,142,143,144,145,97,146,147,148,93,149],"Systems Development","Software Architecture","Agile Methodologies","Scrum","Kanban","Distributed Systems","Continuous Integration","Securities Industry Knowledge","ETF Knowledge","Trading Systems","Technical Leadership","Code Review","Design Review","Engineering Best Practices",{"id":151,"slug":152,"title":153,"raw_title":10,"is_featured":11,"company":154,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":157,"processed_country_iso_code_gmaps":158,"processed_home_office":19,"processed_salary_min":159,"processed_salary_max":117,"processed_salary_currency":119,"processed_salary_source":23,"processed_working_hours":160,"processed_employment_types":26,"processed_it_skills":161,"processed_it_skills_labels":162,"processed_job_expertise_skills":177,"processed_job_expertise_skills_labels":178,"max_cpc":56,"actual_cpc":56},78796,"data-ai-engineering-professionals-data-engineering-analytics-aiml-reliability-engineering-hartford-global-services-private-limited","Data & AI Engineering Professionals (Data Engineering, Analytics, AI\u002FML & Reliability Engineering)",{"name":155,"slug":156,"logo_url":10},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[114],[18],800000,[25],{"aws":29,"emr":29,"gcp":29,"rag":29,"sql":29,"sre":29,"hadoop":29,"python":29,"etl\u002Felt":29,"fastapi":29,"pyspark":29,"pytorch":29,"snowflake":29,"terraform":29,"vertex ai":29,"databricks":29,"informatica":29,"scikit-learn":29},[163,125,164,165,166,32,167,168,124,31,169,170,171,172,173,174,175,176],"PySpark","Databricks","ETL\u002FELT","GCP","RAG","Vertex AI","SRE","Informatica","EMR","Hadoop","FastAPI","Scikit-learn","PyTorch","Terraform",{"ai\u002Fml":29,"applied ai":29,"data analysis":29,"generative ai":29,"ml\u002Fai platforms":29,"data engineering":29,"data reliability":29,"machine learning":29,"big data platforms":29,"agentic ai solutions":29,"statistical modelling":29,"platform administration":29,"site reliability engineering":29},[179,54,180,181,182,183,184,185,186,187,188,189,190],"Data Engineering","Data Reliability","Big Data Platforms","Platform Administration","AI\u002FML","Generative AI","Agentic AI Solutions","Applied AI","Statistical Modelling","Machine Learning","Site Reliability Engineering","ML\u002FAI Platforms",{"id":192,"slug":193,"title":194,"raw_title":10,"is_featured":11,"company":195,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":198,"processed_country_iso_code_gmaps":200,"processed_home_office":19,"processed_salary_min":10,"processed_salary_max":10,"processed_salary_currency":119,"processed_salary_source":23,"processed_working_hours":201,"processed_employment_types":26,"processed_it_skills":202,"processed_it_skills_labels":204,"processed_job_expertise_skills":230,"processed_job_expertise_skills_labels":231,"max_cpc":56,"actual_cpc":56},95672,"assistant-vice-president-mufg-global-service-private-limited-5","Assistant Vice President",{"name":196,"slug":197,"logo_url":10},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[199],"Bangalore",[18],[25],{"aws":28,"git":28,"jsx":28,"npm":28,"css3":28,"j2ee":28,"java":28,"ci\u002Fcd":28,"html5":28,"redux":28,"node.js":28,"reactjs":28,"saml 2.0":203,"devsecops":28,"javascript":28,"kubernetes":28,"monitoring":28,"restful apis":28,"observability":28,"github copilot":28,"disaster recovery":28,"ai coding assistants":28,"relational databases":28,"infrastructure as code":28,"site reliability engineering":203,"enterprise integration patterns":28,"static application-security testing":203,"dynamic application-security testing":203},2,[123,205,206,207,208,209,210,211,212,213,214,215,32,216,217,218,219,220,221,222,223,224,225,226,227,189,228,229],"J2EE","ReactJS","HTML5","CSS3","JSX","JavaScript","Node.js","npm","Redux","Git","RESTful APIs","Kubernetes","Infrastructure as Code","CI\u002FCD","DevSecOps","GitHub Copilot","AI coding assistants","Relational databases","Enterprise integration patterns","Monitoring","Observability","Disaster recovery","SAML 2.0","Static application-security testing","Dynamic application-security testing",{"sdlc":28,"algorithms":28,"resilience":28,"agile\u002Fscrum":28,"ai governance":28,"cloud adoption":28,"responsible ai":28,"design patterns":28,"solution design":28,"containerization":28,"capacity planning":28,"database concepts":28,"financial services":203,"root-cause analysis":28,"application security":28,"software engineering":28,"technical leadership":28,"environment automation":28,"full stack development":28,"operational excellence":28,"platform modernization":28,"design and code reviews":28,"performance improvements":28,"stakeholder collaboration":28,"secure engineering practices":28,"transaction-processing systems":203,"change and production readiness":28,"enterprise application integration":28,"infrastructure and platform changes":28,"object-oriented analysis and design":28},[232,146,233,38,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,98,258],"Full Stack Development","Software Engineering","Solution Design","Design and Code Reviews","Infrastructure and Platform Changes","Change and Production Readiness","Platform Modernization","Stakeholder Collaboration","Operational Excellence","Root-cause Analysis","Agile\u002FScrum","AI Governance","Responsible AI","SDLC","Object-oriented Analysis and Design","Design Patterns","Algorithms","Database Concepts","Application Security","Secure Engineering Practices","Cloud Adoption","Containerization","Environment Automation","Capacity Planning","Resilience","Performance Improvements","Transaction-processing Systems",{"id":260,"slug":261,"title":262,"raw_title":10,"is_featured":11,"company":263,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":266,"processed_country_iso_code_gmaps":267,"processed_home_office":116,"processed_salary_min":268,"processed_salary_max":269,"processed_salary_currency":119,"processed_salary_source":23,"processed_working_hours":270,"processed_employment_types":26,"processed_it_skills":271,"processed_it_skills_labels":272,"processed_job_expertise_skills":290,"processed_job_expertise_skills_labels":291,"max_cpc":56,"actual_cpc":56},83077,"director-india-head-of-architecture-e902-dws-india-private-limited-maharashtra-branch","Director - India Head of Architecture",{"name":264,"slug":265,"logo_url":10},"E902 DWS India Private Limited, Maharashtra Branch","e902-dws-india-private-limited-maharashtra-branch",[16],[18],8000000,12000000,[25],{"aws":203,"gcp":29,"apis":29,"azure":203,"snowflake":29,"databricks":203,"ai guardrails":29,"ai monitoring":29,"generative ai":29,"observability":29,"prompt design":29,"data pipelines":29,"api integration":29,"model evaluation":29,"agentic workflows":29,"metadata management":29,"architecture as code":28,"cloud-native services":29,"data-quality controls":29,"event-driven integration":29,"human-in-the-loop controls":29,"retrieval-augmented generation":29,"enterprise architecture repositories":29},[166,125,32,273,164,274,275,276,277,225,184,278,279,280,281,282,283,284,285,286,287,288,289],"Azure","APIs","Cloud-native services","Event-driven integration","Data pipelines","Prompt design","Retrieval-augmented generation","Agentic workflows","API integration","Model evaluation","AI guardrails","AI monitoring","Human-in-the-loop controls","Architecture as Code","Enterprise architecture repositories","Metadata management","Data-quality controls",{"auditability":29,"cybersecurity":29,"data governance":29,"model governance":29,"ai risk management":29,"ai-based automation":28,"architecture as code":28,"regulatory compliance":29,"risk-based governance":28,"engineering enablement":29,"operational resilience":29,"architecture governance":28,"secure software delivery":29,"technology risk management":29,"financial services experience":29,"organizational transformation":28},[292,293,294,286,295,296,297,298,299,300,301,302,303,304,305,306],"Architecture governance","Organizational transformation","AI-based automation","Risk-based governance","Financial services experience","Regulatory compliance","Cybersecurity","Technology risk management","Operational resilience","Auditability","Data governance","AI risk management","Model governance","Secure software delivery","Engineering enablement",{"id":308,"slug":309,"title":310,"raw_title":10,"is_featured":11,"company":311,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":312,"processed_country_iso_code_gmaps":313,"processed_home_office":116,"processed_salary_min":314,"processed_salary_max":315,"processed_salary_currency":119,"processed_salary_source":23,"processed_working_hours":316,"processed_employment_types":26,"processed_it_skills":317,"processed_it_skills_labels":318,"processed_job_expertise_skills":351,"processed_job_expertise_skills_labels":352,"max_cpc":56,"actual_cpc":56},78821,"ind-senior-engineer-data-hartford-global-services-private-limited","IND Senior Engineer, Data",{"name":155,"slug":156,"logo_url":10},[114],[18],2500000,4000000,[25],{"a2a":28,"aws":28,"mcp":28,"rdf":28,"sql":28,"azure":28,"ci\u002Fcd":28,"neo4j":28,"nosql":28,"spark":28,"aws s3":28,"cypher":28,"docker":28,"python":28,"sparql":28,"aws ec2":28,"mongodb":28,"pytorch":29,"big data":28,"dynamodb":28,"data lake":28,"data mesh":28,"langchain":28,"langgraph":28,"snowflake":28,"aws lambda":28,"kubernetes":28,"tensorflow":29,"aws kinesis":28,"data fabric":28,"apache kafka":28,"document dbs":28,"etl\u002Felt tools":28,"gcp vertex ai":28,"spanner graph":28,"amazon neptune":28,"aws opensearch":28,"graph databases":28,"spark streaming":28,"vector databases":28,"google cloud platform":28},[319,320,321,124,322,125,323,218,324,32,325,273,31,326,73,327,328,329,216,175,330,331,332,333,334,335,336,337,338,339,340,341,342,343,344,345,346,347,348,349,350],"Apache Kafka","AWS Kinesis","Spark Streaming","NoSQL","ETL\u002FELT tools","Big Data","Google Cloud Platform","Spark","Data Lake","Data Fabric","Docker","TensorFlow","Vector Databases","Graph Databases","Document DBs","AWS OpenSearch","GCP Vertex AI","Neo4j","Spanner Graph","Amazon Neptune","MongoDB","DynamoDB","AWS Lambda","AWS S3","AWS EC2","LangChain","LangGraph","MCP","A2A","Cypher","SPARQL","RDF",{"devops":28,"data lakes":28,"data domains":28,"data lineage":28,"data quality":28,"scaled agile":28,"data products":28,"generative ai":28,"data catalogue":28,"data governance":28,"cloud technology":28,"data engineering":28,"data integration":28,"data warehousing":28,"knowledge graphs":28,"data architecture":28,"semantic modeling":28,"prompt engineering":28,"business intelligence":28,"reliability engineering":28,"synthetic data generation":28,"ai-driven data engineering":28,"insurance domain knowledge":29,"retrieval-augmented generation (rag)":28},[179,353,354,355,356,357,358,359,360,184,361,49,362,363,364,92,365,366,367,368,37,369,370,371],"Data Architecture","Data Warehousing","Data Integration","Data Lakes","Data Domains","Data Products","Business Intelligence","Cloud Technology","Retrieval-Augmented Generation (RAG)","Semantic Modeling","Knowledge Graphs","Synthetic Data Generation","Data Quality","Data Lineage","Data Catalogue","AI-driven Data Engineering","Reliability Engineering","Scaled Agile","Insurance Domain Knowledge",{"id":373,"slug":374,"title":375,"raw_title":10,"is_featured":11,"company":376,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":379,"processed_country_iso_code_gmaps":380,"processed_home_office":116,"processed_salary_min":117,"processed_salary_max":118,"processed_salary_currency":119,"processed_salary_source":23,"processed_working_hours":381,"processed_employment_types":26,"processed_it_skills":382,"processed_it_skills_labels":383,"processed_job_expertise_skills":406,"processed_job_expertise_skills_labels":407,"max_cpc":56,"actual_cpc":56},72388,"senior-engineer-sap-sdlc-cloud-alm-vp-f337-deutsche-india-private-limited-pune-branch","Senior Engineer – SAP SDLC \u002F Cloud ALM, VP",{"name":377,"slug":378,"logo_url":10},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[16],[18],[25],{"aws":203,"gcp":29,"abap":28,"jira":29,"unix":203,"azure":203,"github":28,"python":29,"ansible":203,"jenkins":203,"sap btp":29,"windows":203,"sap hana":28,"sap rise":29,"sap basis":28,"sap fiori":203,"scripting":29,"confluence":203,"servicenow":29,"sharepoint":203,"sap s\u002F4hana":29,"sap cloud alm":28,"oracle database":203,"jfrog artifactory":29,"sap solution manager":29,"sap transport management system (tms)":28},[384,385,386,387,388,31,389,390,391,392,393,32,273,166,394,395,396,397,398,399,400,401,402,403,404,405],"SAP Basis","SAP HANA","SAP Cloud ALM","GitHub","ABAP","Scripting","SAP Solution Manager","SAP Transport Management System (TMS)","SAP BTP","SAP RISE","Jenkins","Ansible","JIRA","ServiceNow","Confluence","SharePoint","SAP Fiori","SAP S\u002F4HANA","Oracle Database","UNIX","Windows","JFrog Artifactory",{"sizing":29,"ai tools":29,"sap sdlc":28,"devsecops":28,"compliance":29,"sap upgrade":28,"sap migration":28,"cloud migration":28,"audit management":29,"sap installation":28,"problem management":29,"project management":28,"architecture design":29,"incident management":29,"production stability":28,"transport management":28,"requirement gathering":29,"sap software logistics":28,"performance optimization":28},[408,409,410,411,412,413,414,415,219,416,417,102,418,419,420,421,422,94,423],"SAP SDLC","SAP Software Logistics","SAP Upgrade","SAP Migration","SAP Installation","Cloud Migration","Production Stability","Performance Optimization","Transport Management","Audit Management","Problem Management","Project Management","Requirement Gathering","Architecture Design","Sizing","AI Tools",{"id":425,"slug":426,"title":427,"raw_title":10,"is_featured":11,"company":428,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":431,"processed_country_iso_code_gmaps":433,"processed_home_office":116,"processed_salary_min":117,"processed_salary_max":118,"processed_salary_currency":119,"processed_salary_source":23,"processed_working_hours":434,"processed_employment_types":26,"processed_it_skills":435,"processed_it_skills_labels":436,"processed_job_expertise_skills":441,"processed_job_expertise_skills_labels":442,"max_cpc":56,"actual_cpc":56},75090,"ml-platform-lead-engineer-refinitiv-india-shared-services-private-limited","ML Platform Lead Engineer",{"name":429,"slug":430,"logo_url":10},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[432],"Bengaluru",[18],[25],{"aws":28,"helm":29,"docker":28,"python":28,"jenkins":29,"terraform":28,"kubernetes":28,"azure devops":29,"gitlab ci\u002Fcd":28,"github actions":29,"infrastructure as code":28},[32,31,329,216,176,437,394,438,439,440,217],"GitLab CI\u002FCD","Azure DevOps","GitHub Actions","Helm",{"containerization":28,"disaster recovery":29,"monitoring and logging":29,"security best practices":29,"devops culture promotion":29,"ci\u002Fcd pipeline management":28,"infrastructure automation":28,"cloud infrastructure design":28},[443,444,253,445,446,447,448,449],"Cloud Infrastructure Design","CI\u002FCD Pipeline Management","Infrastructure Automation","Security Best Practices","Monitoring and Logging","Disaster Recovery","DevOps Culture Promotion",{"id":451,"slug":452,"title":453,"raw_title":10,"is_featured":11,"company":454,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":455,"processed_country_iso_code_gmaps":456,"processed_home_office":116,"processed_salary_min":457,"processed_salary_max":458,"processed_salary_currency":119,"processed_salary_source":23,"processed_working_hours":459,"processed_employment_types":26,"processed_it_skills":460,"processed_it_skills_labels":461,"processed_job_expertise_skills":476,"processed_job_expertise_skills_labels":477,"max_cpc":56,"actual_cpc":56},75113,"senior-quality-engineer-automation-api-testing-refinitiv-india-shared-services-private-limited","Senior Quality Engineer, Automation & API Testing",{"name":429,"slug":430,"logo_url":10},[432],[18],2000000,3500000,[25],{"c#":28,"k6":29,"aws":29,"sql":28,"java":28,"azure":29,"docker":29,"jmeter":29,"karate":28,"python":28,"splunk":29,"datadog":29,"gatling":29,"grafana":29,"postman":28,"javascript":28,"kubernetes":29,"playwright":28,"typescript":28,"azure devops":28,"google cloud":29,"rest assured":28,"github actions":28,"application insights":29},[123,462,463,210,31,124,464,465,466,467,438,439,329,216,468,469,470,471,472,473,474,273,32,475],"C#","TypeScript","Postman","Rest Assured","Playwright","Karate","JMeter","Gatling","k6","Application Insights","Datadog","Splunk","Grafana","Google Cloud",{"ci\u002Fcd":28,"devops":28,"monitoring":29,"api testing":28,"observability":29,"test planning":28,"test strategy":28,"test automation":28,"contract testing":29,"security testing":28,"production support":29,"release management":29,"risk-based testing":28,"agile methodologies":28,"database validation":28,"performance testing":28,"quality engineering":28,"cloud-native testing":28,"microservices testing":28,"service virtualization":29,"software development lifecycle (sdlc)":28},[478,479,480,481,482,483,218,37,138,484,485,486,487,488,489,490,491,225,224,492,493],"Quality Engineering","Test Automation","API Testing","Test Strategy","Test Planning","Risk-Based Testing","Software Development Lifecycle (SDLC)","Performance Testing","Security Testing","Database Validation","Microservices Testing","Cloud-Native Testing","Contract Testing","Service Virtualization","Release Management","Production Support",{"id":495,"slug":496,"title":497,"raw_title":10,"is_featured":11,"company":498,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":499,"processed_country_iso_code_gmaps":500,"processed_home_office":116,"processed_salary_min":457,"processed_salary_max":458,"processed_salary_currency":119,"processed_salary_source":23,"processed_working_hours":501,"processed_employment_types":26,"processed_it_skills":502,"processed_it_skills_labels":503,"processed_job_expertise_skills":518,"processed_job_expertise_skills_labels":519,"max_cpc":56,"actual_cpc":56},78814,"ind-staff-engineer-data-hartford-global-services-private-limited","IND Staff Engineer, Data",{"name":155,"slug":156,"logo_url":10},[114],[18],[25],{"api":29,"aws":29,"elt":29,"emr":29,"etl":29,"git":29,"sql":29,"java":29,"sdlc":29,"agile":29,"kafka":29,"scala":29,"scrum":29,"spark":29,"devops":29,"docker":29,"finops":29,"hadoop":29,"kanban":29,"python":29,"talend":29,"jenkins":29,"tableau":29,"tealium":29,"big data":29,"devsecops":29,"snowflake":29,"terraform":29,"kubernetes":29,"data studio":29,"informatica":29,"adobe analytics":29,"cloud computing":29,"data warehousing":29,"google analytics":29,"automated testing":29,"distributed systems":29,"environment management":29},[32,172,171,326,504,125,505,124,31,123,506,507,508,509,510,511,170,37,219,78,139,140,214,394,329,216,176,512,513,514,354,324,515,141,245,77,516,517],"Kafka","Talend","Scala","Google Analytics","Adobe Analytics","Tealium","Tableau","Data Studio","API","ETL","ELT","Cloud Computing","Automated Testing","Environment Management",{"mentoring":28,"data mining":28,"roadmapping":28,"data analytics":28,"issue tracking":28,"tag management":28,"data structures":28,"solution design":28,"data engineering":28,"data integration":28,"devops practices":28,"access management":28,"automated testing":28,"digital analytics":28,"finops principles":28,"knowledge sharing":28,"portfolio strategy":28,"project management":28,"agile methodologies":28,"continuous delivery":28,"distributed systems":28,"cloud infrastructure":28,"emerging technologies":28,"technology evaluation":28,"big data methodologies":28,"continuous integration":28,"environment management":28,"source code management":28,"code quality management":28,"technical documentation":28,"data pipeline development":28,"technology recommendation":28,"best practices development":28,"technical requirements gathering":28,"software development life cycle (sdlc)":28},[179,520,355,521,522,523,524,525,526,138,527,528,141,142,529,530,531,532,533,534,234,419,535,536,537,516,517,538,539,540,541,542,543,544,545],"Data Pipeline Development","Data Mining","Data Structures","Data Analytics","Digital Analytics","Tag Management","Software Development Life Cycle (SDLC)","DevOps Practices","Cloud Infrastructure","Continuous Delivery","Source Code Management","Issue Tracking","Access Management","Technical Documentation","Technical Requirements Gathering","Portfolio Strategy","Roadmapping","FinOps Principles","Code Quality Management","Big Data Methodologies","Emerging Technologies","Technology Evaluation","Technology Recommendation","Best Practices Development","Mentoring","Knowledge Sharing",{"id":547,"slug":548,"title":549,"raw_title":10,"is_featured":11,"company":550,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":551,"processed_country_iso_code_gmaps":552,"processed_home_office":116,"processed_salary_min":457,"processed_salary_max":458,"processed_salary_currency":119,"processed_salary_source":23,"processed_working_hours":553,"processed_employment_types":26,"processed_it_skills":554,"processed_it_skills_labels":555,"processed_job_expertise_skills":557,"processed_job_expertise_skills_labels":558,"max_cpc":56,"actual_cpc":56},75086,"engineer-site-reliability-engineering-refinitiv-india-shared-services-private-limited","Engineer, Site Reliability Engineering",{"name":429,"slug":430,"logo_url":10},[432],[18],[25],{"c#":29,"aws":29,"sql":29,"bash":29,"java":29,"azure":29,"linux":29,"python":29,"datadog":29,"kubernetes":29,"infrastructure as code":29},[556,31,123,462,124,217,273,32,216,472,127],"Bash",{"devops":28,"algorithms":29,"observability":28,"cloud migration":29,"data structures":29,"incident response":28,"distributed systems":28,"root cause analysis":28,"architectural reviews":29,"financial trading systems":29,"site reliability engineering":28},[189,37,141,225,559,103,413,560,561,248,522],"Incident Response","Architectural Reviews","Financial Trading Systems",{"id":563,"slug":564,"title":565,"raw_title":10,"is_featured":11,"company":566,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":567,"processed_country_iso_code_gmaps":568,"processed_home_office":116,"processed_salary_min":569,"processed_salary_max":20,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":570,"processed_employment_types":26,"processed_it_skills":571,"processed_it_skills_labels":572,"processed_job_expertise_skills":588,"processed_job_expertise_skills_labels":589,"max_cpc":56,"actual_cpc":56},75095,"pki-certificate-management-security-identity-engineer-refinitiv-india-shared-services-private-limited","PKI Certificate Management - Security Identity Engineer",{"name":429,"slug":430,"logo_url":10},[432],[18],80000,[25],{"aws":28,"gcp":28,"apis":28,"bash":28,"ntlm":28,"oidc":28,"saml":28,"azure":28,"ejbca":28,"oauth":28,"python":28,"entrust":28,"sectigo":28,"digicert":28,"entra id":28,"kerberos":28,"keyfactor":28,"kubernetes":28,"powershell":28,"microsoft ad cs":28,"active directory":28,"cyberark certificate manager (venafi)":28},[573,31,556,274,574,575,576,577,578,579,580,581,582,583,584,585,586,587,273,32,166,216],"PowerShell","Microsoft AD CS","CyberArk Certificate Manager (Venafi)","DigiCert","Keyfactor","Entrust","Sectigo","EJBCA","Active Directory","Entra ID","Kerberos","NTLM","SAML","OAuth","OIDC",{"aia":28,"cdp":28,"crl":28,"csp":28,"hsm":28,"ksp":28,"ocsp":28,"code signing":28,"key management":28,"incident response":28,"security protocols":28,"x.509 certificates":28,"identity federation":28,"networking protocols":28,"cryptographic controls":28,"certificate authorities":28,"pki architecture design":28,"software supply chain security":28,"post-quantum cryptography (pqc)":28,"public key infrastructure (pki)":28,"site reliability engineering (sre)":28,"certificate lifecycle management (clm)":28},[590,591,592,593,594,595,596,597,598,599,600,601,602,603,604,605,606,559,607,608,609,610],"Public Key Infrastructure (PKI)","Certificate Lifecycle Management (CLM)","X.509 Certificates","Certificate Authorities","CRL","OCSP","AIA","CDP","Key Management","HSM","KSP","CSP","Cryptographic Controls","Identity Federation","Networking Protocols","Security Protocols","Site Reliability Engineering (SRE)","Post-Quantum Cryptography (PQC)","Code Signing","Software Supply Chain Security","PKI Architecture Design",{"id":612,"slug":613,"title":614,"raw_title":10,"is_featured":11,"company":615,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":618,"processed_country_iso_code_gmaps":619,"processed_home_office":19,"processed_salary_min":620,"processed_salary_max":620,"processed_salary_currency":119,"processed_salary_source":23,"processed_working_hours":621,"processed_employment_types":26,"processed_it_skills":622,"processed_it_skills_labels":623,"processed_job_expertise_skills":628,"processed_job_expertise_skills_labels":629,"max_cpc":56,"actual_cpc":56},52995,"avp-client-platforms-data-architect-0156-ares-operations-india-private-limited","AVP, Client Platforms - Data Architect",{"name":616,"slug":617,"logo_url":10},"Ares Operations India Private Limited","ares-operations-india-private-limited",[63],[18],0,[25],{"aws":29,"gcp":29,"azure":28,"ci\u002Fcd":28,"devops":28,"data lakes":28,"databricks":28,"salesforce":28,"data modeling":28,"data quality assurance":28,"lakehouse architecture":28},[164,273,32,166,624,625,626,218,37,356,627],"Salesforce","Data Modeling","Data Quality Assurance","Lakehouse Architecture",{"data lineage":28,"data governance":28,"data engineering":28,"data architecture":28,"vendor management":29,"project management":29,"regulatory compliance":28,"enterprise data platforms":28},[353,179,92,366,630,419,631,632],"Vendor Management","Regulatory Compliance","Enterprise Data Platforms",{"id":634,"slug":635,"title":636,"raw_title":10,"is_featured":11,"company":637,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":638,"processed_country_iso_code_gmaps":639,"processed_home_office":19,"processed_salary_min":315,"processed_salary_max":640,"processed_salary_currency":119,"processed_salary_source":23,"processed_working_hours":641,"processed_employment_types":26,"processed_it_skills":642,"processed_it_skills_labels":643,"processed_job_expertise_skills":646,"processed_job_expertise_skills_labels":647,"max_cpc":56,"actual_cpc":56},59659,"manager-site-reliability-engineering-ind201-refinitiv-india-shared-services-private-limited-2","Manager, Site Reliability Engineering",{"name":429,"slug":430,"logo_url":10},[432],[18],6000000,[25],{"aws":28,"ci\u002Fcd":28,"docker":28,"datadog":29,"jenkins":29,"bigpanda":29,"snowflake":29,"terraform":28,"kubernetes":28,"observability":28,"opentelemetry":29,"github actions":29,"incident management":28,"infrastructure as code":28},[32,216,329,176,439,394,472,644,645,218,217,225,102,125],"BigPanda","OpenTelemetry",{"itil":29,"devops":28,"iso 27001":29,"cost optimization":29,"disaster recovery":28,"people management":28,"financial services":29,"cloud native services":28,"production operations":28,"cloud financial management":29,"business continuity planning":28,"site reliability engineering":28},[189,648,37,649,650,448,651,652,653,654,655,98],"Production Operations","People Management","Cloud Native Services","Business Continuity Planning","ITIL","ISO 27001","Cost Optimization","Cloud Financial Management",{"id":657,"slug":658,"title":659,"raw_title":10,"is_featured":11,"company":660,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":661,"processed_country_iso_code_gmaps":662,"processed_home_office":19,"processed_salary_min":663,"processed_salary_max":664,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":665,"processed_employment_types":26,"processed_it_skills":666,"processed_it_skills_labels":667,"processed_job_expertise_skills":680,"processed_job_expertise_skills_labels":681,"max_cpc":56,"actual_cpc":56},67198,"ind-senior-staff-software-engineer-hartford-global-services-private-limited","IND Senior Staff Software Engineer",{"name":155,"slug":156,"logo_url":10},[114],[18],60000,90000,[25],{"aws":28,"jms":29,"xml":29,"j2ee":28,"java":28,"jdbc":29,"json":29,"unix":29,"ci\u002Fcd":29,"rally":203,"react":29,"docker":29,"github":29,"oracle":29,"angular":29,"jenkins":29,"udeploy":203,"checkmarx":203,"hibernate":29,"spring boot":28,"microservices":28,"web services (soap\u002Frest)":28},[123,205,126,668,669,670,671,672,673,674,675,128,32,218,387,394,329,676,677,678,679,403],"Hibernate","Web Services (SOAP\u002FREST)","XML","JSON","JDBC","Microservices","JMS","Angular","uDeploy","Rally","Checkmarx","Oracle",{"devsecops":29,"cloud migration":28,"systems thinking":29,"security assessments":29,"software architecture":28,"performance optimization":29,"technical subject matter expert":28},[137,682,415,413,219,683,684],"Security Assessments","Systems Thinking","Technical Subject Matter Expert",{"id":686,"slug":687,"title":688,"raw_title":10,"is_featured":11,"company":689,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":690,"processed_country_iso_code_gmaps":691,"processed_home_office":19,"processed_salary_min":664,"processed_salary_max":692,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":693,"processed_employment_types":26,"processed_it_skills":694,"processed_it_skills_labels":695,"processed_job_expertise_skills":697,"processed_job_expertise_skills_labels":698,"max_cpc":56,"actual_cpc":56},67200,"ind-staff-software-engineer-hartford-global-services-private-limited-5","IND Staff Software Engineer",{"name":155,"slug":156,"logo_url":10},[114],[18],130000,[25],{"aws":28,"jms":29,"xml":29,"j2ee":28,"java":28,"jdbc":29,"json":29,"unix":29,"ci\u002Fcd":29,"rally":203,"react":29,"docker":29,"github":29,"oracle":29,"angular":29,"jenkins":29,"udeploy":203,"checkmarx":203,"devsecops":29,"hibernate":29,"spring boot":28,"microservices":28,"monitoring\u002Fobservability":29,"web services (soap\u002Frest)":28},[123,205,126,668,669,670,671,672,673,674,675,128,32,218,329,387,394,676,677,678,219,696,403,679],"Monitoring\u002FObservability",{"api development":28,"cloud migration":28,"systems thinking":29,"agile methodologies":29,"security assessment":29,"software architecture":28,"performance optimization":29,"technical subject matter expert":29},[137,699,415,413,129,138,683,684],"Security Assessment",{"id":701,"slug":702,"title":703,"raw_title":10,"is_featured":11,"company":704,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":705,"processed_country_iso_code_gmaps":706,"processed_home_office":19,"processed_salary_min":707,"processed_salary_max":65,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":708,"processed_employment_types":26,"processed_it_skills":709,"processed_it_skills_labels":710,"processed_job_expertise_skills":722,"processed_job_expertise_skills_labels":723,"max_cpc":56,"actual_cpc":56},59643,"sr-lead-software-engineerpythonawssql-ind201-refinitiv-india-shared-services-private-limited","Sr Lead Software Engineer(Python\u002FAWS\u002FSQL)",{"name":429,"slug":430,"logo_url":10},[432],[18],100000,[25],{"c":29,"c#":29,"go":29,"aws":28,"c++":29,"cdk":29,"sql":28,"java":29,"rust":29,"deequ":29,"scala":29,"python":28,"jenkins":29,"pyspark":29,"gitlab ci":29,"snowflake":29,"terraform":29,"databricks":29,"delta lake":29,"apache spark":29,"apache iceberg":29,"github actions":29,"great expectations":29},[31,32,124,123,462,711,712,506,713,714,715,163,716,717,164,125,718,394,439,176,719,720,721],"C","C++","Go","Rust","Apache Spark","Apache Iceberg","Delta Lake","GitLab CI","CDK","Great Expectations","Deequ",{"etl":28,"ci\u002Fcd":28,"testing":28,"refactoring":28,"data modeling":28,"system design":28,"batch processing":28,"schema evolution":28,"secure development":28,"investment analytics":29,"portfolio management":29,"software architecture":28,"financial indices domain":29},[137,724,218,725,726,727,625,513,728,729,730,731,732],"System Design","Testing","Refactoring","Secure Development","Schema Evolution","Batch Processing","Financial Indices Domain","Investment Analytics","Portfolio Management",{"id":734,"slug":735,"title":736,"raw_title":10,"is_featured":11,"company":737,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":738,"processed_country_iso_code_gmaps":739,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":740,"processed_employment_types":26,"processed_it_skills":741,"processed_it_skills_labels":742,"processed_job_expertise_skills":745,"processed_job_expertise_skills_labels":746,"max_cpc":56,"actual_cpc":56},59767,"lead-data-scientist-ind201-refinitiv-india-shared-services-private-limited-2","Lead Data Scientist",{"name":429,"slug":430,"logo_url":10},[432],[18],[25],{"r":29,"aws":28,"sql":29,"azure":28,"ci\u002Fcd":28,"mlops":28,"python":28,"pytorch":28,"tensorflow":28,"scikit-learn":28},[31,743,124,330,175,174,32,273,744,218],"R","MLOps",{"nlp":28,"rag":28,"llms":28,"statistics":28,"data science":28,"web scraping":29,"ai governance":29,"deep learning":28,"data pipelines":28,"responsible ai":29,"cloud computing":28,"data extraction":29,"data engineering":28,"machine learning":28,"model deployment":28,"model evaluation":28,"entity recognition":29,"financial analytics":29},[747,188,748,749,750,167,751,179,515,752,243,753,754,755,756,757,758,244],"Data Science","Deep Learning","NLP","LLMs","Statistics","Model Deployment","Financial Analytics","Web Scraping","Entity Recognition","Data Extraction","Data Pipelines","Model Evaluation",{"id":760,"slug":761,"title":762,"raw_title":10,"is_featured":11,"company":763,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":764,"processed_country_iso_code_gmaps":765,"processed_home_office":19,"processed_salary_min":664,"processed_salary_max":692,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":766,"processed_employment_types":26,"processed_it_skills":767,"processed_it_skills_labels":768,"processed_job_expertise_skills":776,"processed_job_expertise_skills_labels":777,"max_cpc":56,"actual_cpc":791},59678,"senior-devops-engineer-ind201-refinitiv-india-shared-services-private-limited","Senior DevOps Engineer",{"name":429,"slug":430,"logo_url":10},[432],[18],[25],{"s3":29,"aws":29,"git":28,"bash":28,"linux":28,"rsync":29,"docker":28,"github":28,"gitlab":28,"podman":28,"python":28,"ansible":28,"aws cli":29,"tcpdump":203,"wireshark":203},[127,556,31,395,329,769,214,770,387,32,771,772,773,774,775],"Podman","GitLab","S3","AWS CLI","Rsync","Wireshark","tcpdump",{"networking":29,"os updates":28,"market data":203,"data copying":29,"linux daemons":29,"latency tuning":28,"risk assessment":28,"containerization":28,"scheduling tasks":29,"performance tuning":28,"server provisioning":28,"mitigation strategies":28,"application deployment":28,"configuration management":28},[778,779,780,781,782,783,784,785,786,787,788,789,253,790],"Server provisioning","Configuration management","Application deployment","OS updates","Risk assessment","Mitigation strategies","Networking","Data copying","Scheduling tasks","Linux daemons","Performance tuning","Latency tuning","Market data",0.3,{"image_path":793,"content_de":794,"content_en":807,"composite_key":820,"last_updated":821},"\u002Fimages\u002Fskill\u002Faws.webp",{"tab1":795,"tab2":798,"tab3":801,"tab4":804},{"title":796,"content":797},"Bedeutung & Relevanz","AWS (Amazon Web Services) hat in Indien eine enorme strategische Bedeutung für die digitale Transformation und das Cloud-Computing-Ökosystem erlangt. Als führende Cloud-Plattform ermöglicht AWS indischen Unternehmen, skalierbare und kosteneffiziente IT-Infrastrukturen aufzubauen, was besonders für den schnell wachsenden Technologiesektor entscheidend ist. In Städten wie Pune, einem bedeutenden IT-Zentrum, treibt AWS Innovationen in Bereichen wie [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Fbanking) und [Versicherungen](\u002Fjobs-by-industry\u002Finsurance) voran. Die Plattform unterstützt die Automatisierung von [Cloud-Infrastrukturautomatisierung](\u002Fjobs-by-expertise\u002Fcloud-infrastructure-automation) und fördert [Agile Methoden](\u002Fjobs-by-expertise\u002Fagile-methodologies), was die Wettbewerbsfähigkeit indischer Firmen auf globaler Ebene stärkt. Mit der zunehmenden Nutzung von [Generativer KI](\u002Fjobs-by-skill\u002Fgenerative-ai) und [Künstlichen Intelligenz-Tools](\u002Fjobs-by-skill\u002Fartificial-intelligence-tools) auf AWS wird die Relevanz für datengesteuerte Entscheidungen und [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analytics) weiter wachsen, was Indien zu einem Schlüsselmarkt für Cloud-Experten macht.",{"title":799,"content":800},"Top-Branchen & Standorte","In Indien ist AWS in verschiedenen Branchen hoch gefragt, insbesondere in [Versicherungen](\u002Fjobs-by-industry\u002Finsurance) und [Versicherungen und Finanzdienstleistungen](\u002Fjobs-by-industry\u002Finsurance-and-financial-services), wo es zur Skalierung von Dienstleistungen und zur Verbesserung der [Risikobewertung](\u002Fjobs-by-expertise\u002Frisk-assessment) eingesetzt wird. Top-Standorte wie Pune sind Hotspots für AWS-Expertise, da sie zahlreiche IT-Unternehmen und [Finanzdienstleistungs](\u002Fjobs-by-industry\u002Fbanking)-Firmen beherbergen. Weitere relevante Branchen umfassen [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und [Banking und Asset Management](\u002Fjobs-by-industry\u002Fbanking-and-asset-management), in denen AWS für [Portfoliomanagement](\u002Fjobs-by-expertise\u002Fportfolio-management) und [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis) genutzt wird. Die Verbreitung von [Cloud-Infrastrukturautomatisierung](\u002Fjobs-by-expertise\u002Fcloud-infrastructure-automation) und [Event-gesteuerter Architektur](\u002Fjobs-by-expertise\u002Fevent-driven-architecture) in diesen Bereichen unterstreicht die Bedeutung von AWS für die Modernisierung traditioneller Geschäftsmodelle in Indien.",{"title":802,"content":803},"Gefragte Skills & Arbeitgeber","Führende Unternehmen wie Allianz Insurance setzen in Indien auf AWS, um [Identitäts- und Zugriffsverwaltung](\u002Fjobs-by-expertise\u002Fidentity-and-access-management) und [Skalierbarkeitsdesign](\u002Fjobs-by-expertise\u002Fscalability-design) zu optimieren. Gefragte Expertise umfasst [DevOps-Praktiken](\u002Fjobs-by-expertise\u002Fdevops-practices), [Softwarearchitektur](\u002Fjobs-by-expertise\u002Fsoftware-architecture) und [Sicherheitsbest Practices](\u002Fjobs-by-expertise\u002Fsecurity-best-practices), die mit AWS-Tools wie [Kubernetes](\u002Fjobs-by-skill\u002Fkubernetes) und [Docker](\u002Fjobs-by-skill\u002Fdocker) integriert werden. Weitere Schlüsselkompetenzen sind [Agile Methodik](\u002Fjobs-by-expertise\u002Fagile-methodology) für iterative Entwicklung und [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement) zur Steigerung der Effizienz. In Pune und anderen IT-Zentren suchen Arbeitgeber nach Profilen mit Kenntnissen in [Python](\u002Fjobs-by-skill\u002Fpython) und [SQL](\u002Fjobs-by-skill\u002Fsql) für die Automatisierung von [CI\u002FCD-Pipelines](\u002Fjobs-by-skill\u002Fci-cd-pipelines), was die Rolle von AWS in [Verteilten Systemen](\u002Fjobs-by-expertise\u002Fdistributed-systems) und [Cloud-Infrastrukturverwaltung](\u002Fjobs-by-expertise\u002Fcloud-infrastructure-management) hervorhebt.",{"title":805,"content":806},"Karriere & Entwicklung","Karrierewege mit AWS in Indien reichen vom Cloud-Architekten bis zum DevOps-Ingenieur, wobei Fähigkeiten in [Azure](\u002Fjobs-by-skill\u002Fazure) und [Kubernetes](\u002Fjobs-by-skill\u002Fkubernetes) als komplementär geschätzt werden. Um AWS zu erlernen, empfehlen sich praktische Projekte mit [Python](\u002Fjobs-by-skill\u002Fpython) für Skripting und [SQL](\u002Fjobs-by-skill\u002Fsql) für Datenbankmanagement, kombiniert mit Zertifizierungen wie AWS Solutions Architect. Relevante TOP RELATED IT SKILLS wie [Git](\u002Fjobs-by-skill\u002Fgit) für Versionskontrolle und [Jenkins](\u002Fjobs-by-skill\u002Fjenkins) für Automatisierung unterstützen die Entwicklung. Expertise in [Datenvisualisierung](\u002Fjobs-by-expertise\u002Fdata-visualization) mit Tools wie [PowerBI](\u002Fjobs-by-skill\u002Fpowerbi) und [Maschinellen Lernbibliotheken](\u002Fjobs-by-skill\u002Fmachine-learning-libraries) eröffnet Möglichkeiten in [Datenanalyse](\u002Fjobs-by-expertise\u002Fdata-analytics). In Indien, insbesondere in Pune, können Praktika bei Unternehmen wie Allianz Insurance praktische Erfahrungen in [Agilen Methoden](\u002Fjobs-by-expertise\u002Fagile-methodologies) und [Identitätsadministration](\u002Fjobs-by-expertise\u002Fidentity-administration) bieten, um eine erfolgreiche Karriere in der Cloud-Branche aufzubauen.",{"tab1":808,"tab2":811,"tab3":814,"tab4":817},{"title":809,"content":810},"Strategic Importance","AWS (Amazon Web Services) has become strategically vital for India's rapidly growing digital economy, serving as the backbone for cloud infrastructure that powers everything from fintech startups to established financial institutions. In the insurance sector, AWS enables companies like [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) to deploy scalable, secure cloud solutions that handle massive data processing, real-time analytics, and customer-facing applications with high availability. The platform's extensive service portfolio supports India's push toward digital transformation, allowing businesses to innovate faster while maintaining robust security and compliance standards. With India's increasing focus on cloud-first strategies, AWS expertise has become essential for organizations seeking to optimize costs, enhance operational efficiency, and deliver superior customer experiences in competitive markets like [Pune](\u002Fjobs-in-pune) and other major tech hubs.",{"title":812,"content":813},"Top Industries & Locations","AWS skills are in high demand across multiple industries in India, particularly in [insurance](\u002Fjobs-by-industry\u002Finsurance), [insurance and asset management](\u002Fjobs-by-industry\u002Finsurance-and-asset-management), and [insurance and financial services](\u002Fjobs-by-industry\u002Finsurance-and-financial-services). These sectors leverage AWS for cloud migration, data analytics, and digital service delivery, with [Pune](\u002Fjobs-in-pune) emerging as a key hub for AWS talent due to its thriving IT ecosystem and presence of major financial services companies. The city's growing tech infrastructure and skilled workforce make it an ideal location for AWS professionals seeking opportunities in cloud architecture, DevOps, and infrastructure management. Other emerging locations across India are also seeing increased demand for AWS expertise as organizations accelerate their digital transformation initiatives and move critical workloads to the cloud.",{"title":815,"content":816},"In-Demand Skills & Employers","Leading employers like [Allianz Insurance](\u002Fcompany\u002Fallianz-insurance) seek AWS professionals with complementary expertise in [agile methodology](\u002Fjobs-by-expertise\u002Fagile-methodology), [devops practices](\u002Fjobs-by-expertise\u002Fdevops-practices), [cloud infrastructure automation](\u002Fjobs-by-expertise\u002Fcloud-infrastructure-automation), and [security best practices](\u002Fjobs-by-expertise\u002Fsecurity-best-practices). These organizations require AWS specialists who can implement [event-driven architecture](\u002Fjobs-by-expertise\u002Fevent-driven-architecture), manage [distributed systems](\u002Fjobs-by-expertise\u002Fdistributed-systems), and ensure robust [authentication mechanisms](\u002Fjobs-by-expertise\u002Fauthentication-mechanisms) and [authorization systems](\u002Fjobs-by-expertise\u002Fauthorization-systems). The integration of AWS with [identity and access management](\u002Fjobs-by-expertise\u002Fidentity-and-access-management) infrastructure is particularly crucial for financial services companies operating in India's regulated environment. Professionals with expertise in [incident management](\u002Fjobs-by-expertise\u002Fincident-management), [performance management](\u002Fjobs-by-expertise\u002Fperformance-management), and [systems testing](\u002Fjobs-by-expertise\u002Fsystems-testing) are highly valued for maintaining reliable AWS environments that support critical business operations.",{"title":818,"content":819},"Career & Development","AWS careers in India offer diverse paths including Cloud Architect, DevOps Engineer, Solutions Architect, and Cloud Security Specialist. Professionals can start with AWS certifications like Solutions Architect Associate and progress to professional-level certifications while gaining hands-on experience with complementary technologies like [Python](\u002Fjobs-by-skill\u002Fpython), [Kubernetes](\u002Fjobs-by-skill\u002Fkubernetes), [Docker](\u002Fjobs-by-skill\u002Fdocker), and [CI\u002FCD pipelines](\u002Fjobs-by-skill\u002Fci-cd-pipelines). Developing expertise in [cloud networking](\u002Fjobs-by-skill\u002Fcloud-networking), [serverless architecture](\u002Fjobs-by-skill\u002Fserverless-architecture), and [no-sql databases](\u002Fjobs-by-skill\u002Fno-sql-databases) enhances career prospects. Practical experience with [Git](\u002Fjobs-by-skill\u002Fgit), [GitHub Actions](\u002Fjobs-by-skill\u002Fgithub-actions), and infrastructure-as-code tools combined with [agile methodologies](\u002Fjobs-by-expertise\u002Fagile-methodologies) and [code quality management](\u002Fjobs-by-expertise\u002Fcode-quality-management) creates well-rounded AWS professionals. The growing adoption of [generative AI](\u002Fjobs-by-skill\u002Fgenerative-ai) and [artificial intelligence tools](\u002Fjobs-by-skill\u002Fartificial-intelligence-tools) on AWS platforms presents additional opportunities for specialization and career advancement in India's dynamic tech landscape.","skill:aws:in","2026-08-17T09:01:56.897658+02:00",{"industry":823,"employment_type":858,"expertise_skills":861,"it_skills":926,"salary_currency":991,"processed_working_hours":1003},[824,828,832,835,839,843,846,849,852,855],{"key":825,"label":826,"count":827},"financial markets infrastructure","Financial Markets Infrastructure",51,{"key":829,"label":830,"count":831},"insurance","Insurance",46,{"key":833,"label":98,"count":834},"financial services",43,{"key":836,"label":837,"count":838},"data provider","Data Provider",28,{"key":840,"label":841,"count":842},"data","Data",25,{"key":844,"label":97,"count":845},"asset management",7,{"key":847,"label":848,"count":203},"fund administration","Fund Administration",{"key":850,"label":851,"count":203},"middle office","Middle Office",{"key":853,"label":854,"count":203},"financial market infrastructure","Financial Market Infrastructure",{"key":856,"label":857,"count":56},"alternative investments","Alternative Investments",[859],{"key":26,"label":860,"count":4},"PERMANENT",[862,866,869,872,874,878,880,883,885,887,890,892,894,896,899,902,904,907,910,912,914,916,919,922],{"key":863,"label":864,"slug":863,"count":865},"devops","Devops",27,{"key":867,"label":103,"slug":867,"count":868},"root-cause-analysis",21,{"key":870,"label":179,"slug":870,"count":871},"data-engineering",19,{"key":873,"label":138,"slug":873,"count":871},"agile-methodologies",{"key":875,"label":876,"slug":875,"count":877},"cicd","Ci\u002FCd",17,{"key":879,"label":189,"slug":879,"count":877},"site-reliability-engineering",{"key":881,"label":92,"slug":881,"count":882},"data-governance",16,{"key":884,"label":413,"slug":884,"count":882},"cloud-migration",{"key":886,"label":225,"slug":886,"count":882},"observability",{"key":888,"label":102,"slug":888,"count":889},"incident-management",15,{"key":891,"label":188,"slug":891,"count":889},"machine-learning",{"key":893,"label":625,"slug":893,"count":889},"data-modeling",{"key":895,"label":559,"slug":895,"count":889},"incident-response",{"key":897,"label":147,"slug":897,"count":898},"code-review",14,{"key":900,"label":137,"slug":900,"count":901},"software-architecture",13,{"key":903,"label":94,"slug":903,"count":901},"compliance",{"key":905,"label":906,"slug":905,"count":901},"automation","Automation",{"key":908,"label":250,"slug":908,"count":909},"application-security",12,{"key":911,"label":354,"slug":911,"count":909},"data-warehousing",{"key":913,"label":93,"slug":913,"count":909},"risk-management",{"key":915,"label":49,"slug":915,"count":909},"prompt-engineering",{"key":917,"label":918,"slug":917,"count":909},"infrastructure-as-code","Infrastructure As Code",{"key":920,"label":141,"slug":920,"count":921},"distributed-systems",11,{"key":923,"label":924,"slug":923,"count":925},"sdlc","Sdlc",10,[927,930,933,937,940,943,945,948,950,953,956,959,962,964,967,970,972,974,977,981,983,985,986,988],{"key":928,"label":929,"slug":928,"count":4},"aws","Aws",{"key":931,"label":31,"slug":931,"count":932},"python",99,{"key":934,"label":935,"slug":934,"count":936},"ms-azure","MS Azure",76,{"key":938,"label":124,"slug":938,"count":939},"sql",58,{"key":941,"label":123,"slug":941,"count":942},"java",54,{"key":875,"label":876,"slug":875,"count":944},52,{"key":946,"label":216,"slug":946,"count":947},"kubernetes",50,{"key":949,"label":176,"slug":949,"count":831},"terraform",{"key":951,"label":952,"slug":951,"count":831},"gcp","Gcp",{"key":954,"label":394,"slug":954,"count":955},"jenkins",42,{"key":957,"label":329,"slug":957,"count":958},"docker",41,{"key":960,"label":214,"slug":960,"count":961},"git",29,{"key":963,"label":125,"slug":963,"count":842},"snowflake",{"key":965,"label":462,"slug":965,"count":966},"c",24,{"key":968,"label":472,"slug":968,"count":969},"datadog",22,{"key":971,"label":675,"slug":971,"count":868},"angular",{"key":973,"label":395,"slug":973,"count":871},"ansible",{"key":975,"label":976,"slug":975,"count":871},"github-actions","Github Actions",{"key":978,"label":979,"slug":978,"count":980},"javascript","Javascript",18,{"key":982,"label":128,"slug":982,"count":980},"react",{"key":984,"label":126,"slug":984,"count":877},"spring-boot",{"key":863,"label":864,"slug":863,"count":877},{"key":987,"label":473,"slug":987,"count":882},"splunk",{"key":989,"label":990,"slug":989,"count":882},"nosql","Nosql",[992,994,996,999,1001],{"key":119,"label":119,"count":993},105,{"key":22,"label":22,"count":995},30,{"key":997,"label":997,"count":998},"EUR",9,{"key":1000,"label":1000,"count":29},"GBP",{"key":1002,"label":1002,"count":56},"AUD",[1004],{"key":25,"label":25,"count":4},{"total":620,"jobs":1006},[]]