[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-us\u002Fjobs-by-skill\u002Faws?page=8":3,"seo-content-skill-aws-us":766,"featured-jobs-\u002Fde-us\u002Fjobs-by-skill\u002Faws?page=8":796,"skill-page-filters-\u002Fde-us\u002Fjobs-by-skill\u002Faws?page=8":799},{"total":4,"jobs":5},252,[6,69,100,141,172,207,261,308,389,423,445,465,497,520,573,599,638,703,721,754],{"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":31,"processed_job_expertise_skills":50,"processed_job_expertise_skills_labels":51,"max_cpc":67,"actual_cpc":68},83638,"senior-engineer-interactive-voice-response-aiml-government-employees-insurance-company","Senior Engineer, Interactive Voice Response - AI\u002FML",null,false,{"name":13,"slug":14,"logo_url":10},"Government Employees Insurance Company","government-employees-insurance-company",[16],"Bethesda",[18],"US","hybrid",100000,215000,"USD","estimated",[25],"FULL_TIME","permanent",{"aws":28,"c++":28,"gcp":28,"sql":28,"java":28,"azure":28,"nosql":28,"docker":28,"python":29,"pytorch":28,"rest apis":28,"kubernetes":28,"powershell":30,"tensorflow":28,"microservices":28,"continuous delivery":28,"infrastructure as code":28,"application monitoring tools":28},3,4,2,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"Python","SQL","NoSQL","Docker","Kubernetes","Azure","TensorFlow","PyTorch","Java","C++","AWS","GCP","PowerShell","REST APIs","Microservices","Continuous Delivery","Infrastructure as Code","Application Monitoring Tools",{"scalability":29,"system design":29,"cloud computing":29,"automated testing":29,"speech recognition":28,"distributed systems":29,"multi-agent systems":28,"software architecture":29,"intelligent automation":28,"recommendation systems":28,"ai\u002Fml model development":29,"reliability engineering":29,"performance optimization":29,"natural language processing":28,"large language models (llms)":28},[52,53,54,55,56,57,58,59,60,61,62,63,64,65,66],"AI\u002FML Model Development","Distributed Systems","Software Architecture","Automated Testing","Cloud Computing","Natural Language Processing","Speech Recognition","Recommendation Systems","Intelligent Automation","Multi-agent Systems","Large Language Models (LLMs)","System Design","Performance Optimization","Scalability","Reliability Engineering",1,1.5,{"id":70,"slug":71,"title":72,"raw_title":10,"is_featured":11,"company":73,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":76,"processed_country_iso_code_gmaps":78,"processed_home_office":19,"processed_salary_min":79,"processed_salary_max":80,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":81,"processed_employment_types":26,"processed_it_skills":82,"processed_it_skills_labels":83,"processed_job_expertise_skills":91,"processed_job_expertise_skills_labels":92,"max_cpc":67,"actual_cpc":68},58165,"senior-engineer-invest-tech-1110-invesco-group-services-inc","Senior Engineer, Invest Tech",{"name":74,"slug":75,"logo_url":10},"Invesco Group Services, INC.","invesco-group-services-inc",[77],"New York",[18],115000,140000,[25],{"aws":28,"dbt":28,"sql":29,"kafka":28,"redis":28,"docker":28,"python":29,"snowflake":28,"javascript":30,"postgresql":28,"kubernetes (eks)":28},[32,33,84,85,86,42,35,87,88,89,90],"PostgreSQL","Snowflake","dbt","Kubernetes (EKS)","Kafka","Redis","JavaScript",{"data modeling":29,"data engineering":29,"time series data":28,"etl pipeline design":29,"data quality monitoring":29,"financial data analysis":28,"software engineering practices":29},[93,94,95,96,97,98,99],"Data Engineering","ETL Pipeline Design","Data Modeling","Data Quality Monitoring","Financial Data Analysis","Time Series Data","Software Engineering Practices",{"id":101,"slug":102,"title":103,"raw_title":10,"is_featured":11,"company":104,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":107,"processed_country_iso_code_gmaps":109,"processed_home_office":19,"processed_salary_min":80,"processed_salary_max":110,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":111,"processed_employment_types":26,"processed_it_skills":112,"processed_it_skills_labels":113,"processed_job_expertise_skills":129,"processed_job_expertise_skills_labels":130,"max_cpc":67,"actual_cpc":68},61425,"senior-network-engineer-vp-mufg-bank-ltd","Senior Network Engineer, VP",{"name":105,"slug":106,"logo_url":10},"MUFG Bank, Ltd.","mufg-bank-ltd",[108],"Jersey City",[18],194000,[25],{"aws":28,"bgp":29,"vpc":29,"mpls":28,"ospf":29,"vlan":29,"eigrp":28,"python":28,"splunk":28,"ansible":28,"infoblox":28,"netbrain":28,"cisco aci":29,"terraform":28,"wireshark":28,"solarwinds":28,"cisco nexus":29},[114,115,116,117,118,119,120,121,32,122,123,42,124,125,126,127,128],"Cisco ACI","Cisco Nexus","BGP","OSPF","EIGRP","MPLS","VPC","VLAN","Ansible","Terraform","Splunk","SolarWinds","NetBrain","Wireshark","Infoblox",{"network design":29,"cloud networking":28,"network security":28,"wan architecture":29,"vendor management":28,"network automation":28,"project management":28,"data center networking":29,"network implementation":29,"network troubleshooting":29},[131,132,133,134,135,136,137,138,139,140],"Network Design","Network Implementation","Network Troubleshooting","Data Center Networking","WAN Architecture","Network Security","Network Automation","Cloud Networking","Project Management","Vendor Management",{"id":142,"slug":143,"title":144,"raw_title":10,"is_featured":11,"company":145,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":148,"processed_country_iso_code_gmaps":150,"processed_home_office":151,"processed_salary_min":152,"processed_salary_max":153,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":154,"processed_employment_types":26,"processed_it_skills":155,"processed_it_skills_labels":156,"processed_job_expertise_skills":162,"processed_job_expertise_skills_labels":163,"max_cpc":67,"actual_cpc":68},67497,"software-engineer-i-mern-aws-020-travelers-indemnity-co","Software Engineer I (MERN, AWS)",{"name":146,"slug":147,"logo_url":10},"Travelers Indemnity Co","travelers-indemnity-co",[149],"Hartford",[18],"onsite",99100,163400,[25],{"aws":30,"git":28,"mern":28,"ci\u002Fcd":28,"kafka":30,"docker":30,"rest apis":28,"javascript":28,"kubernetes":30,"servicenow fso":30,"test automation":28},[90,45,157,42,158,35,36,88,159,160,161],"MERN","Git","ServiceNow FSO","CI\u002FCD","Test Automation",{"agile delivery":28,"software engineering":28,"encryption\u002Fdecryption":30,"monitoring & alerting":30,"test design strategies":28,"microservices architecture":30,"real-time & batch data processing":30,"cloud cost & performance optimization":30},[164,165,166,167,168,169,170,171],"Agile Delivery","Software Engineering","Test Design Strategies","Microservices Architecture","Real-time & Batch Data Processing","Monitoring & Alerting","Encryption\u002FDecryption","Cloud Cost & Performance Optimization",{"id":173,"slug":174,"title":175,"raw_title":10,"is_featured":11,"company":176,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":177,"processed_country_iso_code_gmaps":179,"processed_home_office":19,"processed_salary_min":180,"processed_salary_max":181,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":182,"processed_employment_types":26,"processed_it_skills":183,"processed_it_skills_labels":184,"processed_job_expertise_skills":198,"processed_job_expertise_skills_labels":199,"max_cpc":67,"actual_cpc":68},83862,"senior-staff-software-engineer-ai-underwriting-platforms-hybrid-government-employees-insurance-company","Senior Staff Software Engineer - AI & Underwriting Platforms - Hybrid",{"name":13,"slug":14,"logo_url":10},[178],"Dallas",[18],110000,260000,[25],{"go":29,"aws":29,"c++":29,"gcp":29,"rag":29,"apis":29,"grpc":29,"java":29,"llms":29,"rest":29,"ai\u002Fml":29,"azure":29,"ci\u002Fcd":29,"devops":29,"algorithms":29,"system design":29,"data structures":29,"performance tuning":29,"distributed systems":29,"observability tools":29,"application monitoring":29,"infrastructure as code":29},[40,185,41,53,186,187,42,37,43,188,160,48,189,190,63,191,192,193,194,195,196,197],"Go","REST","gRPC","DevOps","Data Structures","Algorithms","Application Monitoring","Performance Tuning","Observability Tools","AI\u002FML","LLMs","RAG","APIs",{"architecture":29,"ai integration":29,"cloud migration":29,"software engineering":29,"technical leadership":29,"digital transformation":29,"open source frameworks":28,"underwriting platforms":29},[165,200,201,202,203,204,205,206],"Technical Leadership","Architecture","Cloud Migration","Digital Transformation","Underwriting Platforms","AI Integration","Open Source Frameworks",{"id":208,"slug":209,"title":210,"raw_title":10,"is_featured":11,"company":211,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":214,"processed_country_iso_code_gmaps":216,"processed_home_office":19,"processed_salary_min":217,"processed_salary_max":218,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":219,"processed_employment_types":26,"processed_it_skills":220,"processed_it_skills_labels":221,"processed_job_expertise_skills":249,"processed_job_expertise_skills_labels":250,"max_cpc":67,"actual_cpc":68},67097,"automation-test-lead-hartford-fire-ins-co","Automation Test Lead",{"name":212,"slug":213,"logo_url":10},"Hartford Fire Ins. Co","hartford-fire-ins-co",[215],"Columbus",[18],127600,191400,[25],{"aws":28,"bdd":29,"gcp":28,"git":29,"java":29,"nexus":28,"sonar":28,"extent":28,"karate":29,"python":29,"splunk":28,"appscan":28,"jenkins":29,"tableau":28,"udeploy":28,"power bi":28,"selenium":29,"checkmarx":28,"dynatrace":28,"openshift":28,"terraform":28,"ca devtest":28,"code build":28,"containers":28,"javascript":29,"playwright":29,"rally\u002Fjira":28,"typescript":29,"browser stack":28,"code pipeline":28,"selenium grid":28,"github copilot":29,"blazemeter\u002Fjmeter":29,"model context protocol":29,"test data management tool":29},[40,90,222,32,223,224,225,226,227,228,229,230,231,232,158,124,233,123,234,235,236,237,238,239,240,241,42,43,242,243,244,245,246,247,248],"TypeScript","Playwright","Karate","BDD","Selenium","Blazemeter\u002FJMeter","Test Data Management tool","Sonar","Nexus","Jenkins","uDeploy","Dynatrace","AppScan","Checkmarx","CA DevTest","Browser stack","Selenium Grid","OpenShift","GitHub Copilot","Model Context Protocol","Code Build","Code Pipeline","Containers","Rally\u002FJira","Extent","Tableau","Power BI",{"devops":29,"defect analysis":29,"agile\u002Fscrum\u002Fsafe":29,"system testability":29,"quality engineering":29,"test data management":29,"risk-based test strategy":29,"insurance domain knowledge":28,"end-to-end quality execution":29,"test automation architecture":29,"financial services domain knowledge":28},[251,252,253,254,255,256,257,188,258,259,260],"Quality Engineering","Test Automation Architecture","Test Data Management","Agile\u002FScrum\u002FSAFe","Defect Analysis","System Testability","End-to-End Quality Execution","Risk-based Test Strategy","Insurance Domain Knowledge","Financial Services Domain Knowledge",{"id":262,"slug":263,"title":264,"raw_title":10,"is_featured":11,"company":265,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":268,"processed_country_iso_code_gmaps":270,"processed_home_office":19,"processed_salary_min":271,"processed_salary_max":79,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":272,"processed_employment_types":26,"processed_it_skills":273,"processed_it_skills_labels":274,"processed_job_expertise_skills":291,"processed_job_expertise_skills_labels":292,"max_cpc":67,"actual_cpc":68},79171,"senior-murex-software-engineer-transamerica","Senior Murex Software Engineer",{"name":266,"slug":267,"logo_url":10},"Transamerica","transamerica",[269],"Cedar Rapids",[18],94000,[25],{"aws":28,"etl":29,"git":28,"sql":29,"apis":28,"j2ee":30,"java":28,"ssis":29,"ssrs":29,"kafka":30,"maven":30,"murex":29,"docker":30,"oracle":29,"python":28,"jenkins":30,"aws glue":28,"bi tools":28,"control-m":28,"excel vba":28,"rest apis":28,"kubernetes":30,"linux\u002Funix":28,"sql server":29,"microservices":30,"windows server":28,"spring framework":30,"ai-assisted development tools":30},[275,40,33,32,276,277,278,279,280,197,281,282,283,284,285,88,45,46,35,36,158,231,286,287,288,289,42,290],"Murex","SQL Server","Oracle","SSIS","SSRS","AWS Glue","ETL","Excel VBA","BI tools","Spring Framework","J2EE","Maven","Control-M","Windows Server","Linux\u002FUnix","AI-assisted development tools",{"risk":28,"ci\u002Fcd":28,"accounting":28,"back office":28,"front office":28,"agile delivery":28,"data pipelines":29,"test automation":28,"datamart reporting":29,"integration design":29,"process automation":28,"production support":29,"system architecture":28,"regulatory reporting":28,"financial services domain":28,"derivatives trade lifecycle":29},[293,294,295,296,297,298,299,300,301,302,303,304,305,306,160,307],"Derivatives trade lifecycle","Front Office","Risk","Back Office","Accounting","Datamart reporting","Data pipelines","Process automation","Regulatory reporting","Production support","Integration design","Financial services domain","Agile delivery","Test automation","System architecture",{"id":309,"slug":310,"title":311,"raw_title":10,"is_featured":11,"company":312,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":313,"processed_country_iso_code_gmaps":314,"processed_home_office":19,"processed_salary_min":315,"processed_salary_max":316,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":317,"processed_employment_types":26,"processed_it_skills":318,"processed_it_skills_labels":319,"processed_job_expertise_skills":343,"processed_job_expertise_skills_labels":344,"max_cpc":67,"actual_cpc":68},61421,"director-distinguished-engineer-enterprise-ai-platforms-mufg-bank-ltd","Director, Distinguished Engineer, Enterprise AI Platforms",{"name":105,"slug":106,"logo_url":10},[108],[18],250000,350000,[25],{"aws":29,"sql":29,"java":29,"ci\u002Fcd":29,"kafka":28,"ragas":28,"scala":28,"spark":28,"crewai":28,"docker":29,"github":28,"python":29,"spring":28,"airflow":28,"fastapi":28,"graphql":28,"litellm":28,"node.js":28,"pytorch":28,"langchain":29,"langgraph":29,"sagemaker":28,"snowflake":28,"terraform":28,"databricks":28,"kubernetes":29,"tensorflow":28,"hugging face":28,"rest\u002Fopenapi":29,"vector search":28,"knowledge graphs":28,"metadata platforms":28,"document intelligence":28,"javascript\u002Ftypescript":28,"opensearch\u002Felasticsearch":28},[32,40,320,321,33,322,323,324,325,326,42,36,35,123,327,160,328,329,330,331,332,333,39,38,334,85,335,336,88,337,338,339,340,341,342],"Scala","JavaScript\u002FTypeScript","Spring","FastAPI","Node.js","GraphQL","REST\u002FOpenAPI","GitHub","LangChain","LangGraph","CrewAI","LiteLLM","Ragas","Hugging Face","SageMaker","Databricks","Spark","Airflow","OpenSearch\u002FElasticsearch","Vector search","Knowledge graphs","Metadata platforms","Document intelligence",{"finops":29,"privacy":29,"security":29,"compliance":29,"model risk":29,"monitoring":29,"resilience":29,"auditability":29,"data lineage":29,"data quality":29,"agent runtime":29,"ai governance":29,"cybersecurity":29,"microservices":29,"model routing":29,"orchestration":29,"policy-as-code":28,"data governance":29,"ai observability":29,"containerization":29,"cost optimization":29,"data architecture":29,"vendor evaluation":29,"llm gateway design":29,"metadata management":29,"security guardrails":29,"event-driven systems":29,"operational controls":29,"platform engineering":29,"provider abstraction":29,"evaluation frameworks":29,"production operations":29,"technical roadmapping":29,"regulated environments":29,"access control patterns":29,"enterprise architecture":29,"executive communication":29,"ai platform architecture":29,"cloud-native architecture":29,"infrastructure automation":29,"build-versus-buy decisions":29,"human-in-the-loop workflows":29,"rag and knowledge integration":29,"reusable engineering patterns":29,"structured\u002Funstructured data integration":29},[345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,46,360,361,362,363,364,365,366,367,368,369,370,371,372,373,374,375,376,377,378,379,380,381,382,383,384,385,386,387,388],"Enterprise Architecture","Platform Engineering","AI Platform Architecture","LLM Gateway Design","Model Routing","Provider Abstraction","Agent Runtime","Orchestration","RAG and Knowledge Integration","AI Observability","Evaluation Frameworks","Security Guardrails","FinOps","Reusable Engineering Patterns","Cloud-Native Architecture","Event-Driven Systems","Containerization","Infrastructure Automation","Production Operations","Data Architecture","Data Governance","Metadata Management","Data Lineage","Structured\u002FUnstructured Data Integration","Data Quality","Access Control Patterns","Security","Resilience","Monitoring","Auditability","Cost Optimization","Operational Controls","Regulated Environments","Build-versus-Buy Decisions","Vendor Evaluation","Technical Roadmapping","Executive Communication","AI Governance","Model Risk","Compliance","Privacy","Cybersecurity","Human-in-the-Loop Workflows","Policy-as-Code",{"id":390,"slug":391,"title":392,"raw_title":10,"is_featured":11,"company":393,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":396,"processed_country_iso_code_gmaps":398,"processed_home_office":19,"processed_salary_min":399,"processed_salary_max":400,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":401,"processed_employment_types":26,"processed_it_skills":402,"processed_it_skills_labels":403,"processed_job_expertise_skills":412,"processed_job_expertise_skills_labels":413,"max_cpc":67,"actual_cpc":68},62730,"lead-business-intelligence-information-security-governance-001-prudential-ins-co-of-america","Lead, Business Intelligence, Information Security Governance",{"name":394,"slug":395,"logo_url":10},"Prudential Ins Co of America","prudential-ins-co-of-america",[397],"Newark",[18],114500,188900,[25],{"aws":30,"sql":29,"jira":30,"claude":28,"copilot":28,"power bi":29,"power apps":28,"servicenow":30,"data modeling":29,"power automate":28,"power platform":28,"microsoft fabric":28},[248,33,95,404,405,406,407,408,409,42,410,411],"Microsoft Fabric","Power Platform","Power Automate","Power Apps","Copilot","Claude","ServiceNow","Jira",{"compliance":30,"data quality":29,"kpi definition":29,"kri definition":29,"data governance":28,"risk management":30,"metric governance":29,"data visualization":29,"executive reporting":29,"root cause analysis":28,"business intelligence":29,"information security governance":28},[414,415,416,417,418,369,365,419,420,421,422,384],"Business Intelligence","Data Visualization","Metric Governance","KPI Definition","KRI Definition","Root Cause Analysis","Executive Reporting","Information Security Governance","Risk Management",{"id":424,"slug":425,"title":426,"raw_title":10,"is_featured":11,"company":427,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":428,"processed_country_iso_code_gmaps":430,"processed_home_office":151,"processed_salary_min":152,"processed_salary_max":153,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":431,"processed_employment_types":26,"processed_it_skills":432,"processed_it_skills_labels":433,"processed_job_expertise_skills":437,"processed_job_expertise_skills_labels":438,"max_cpc":67,"actual_cpc":68},67592,"software-engineer-i-javascript-typescript-aws-react-nodejs-020-travelers-indemnity-co","Software Engineer I (JavaScript, TypeScript, AWS, React, Node.js)",{"name":146,"slug":147,"logo_url":10},[429],"Cockeysville",[18],[25],{"aws":28,"react":28,"mongodb":28,"node.js":28,"javascript":28,"typescript":28,"github actions":28},[90,222,42,434,324,435,436],"React","GitHub Actions","MongoDB",{"testing":28,"debugging":29,"documentation":28,"system design":28,"impact analysis":28,"system analysis":28,"incident management":28,"software engineering":28},[165,439,63,440,441,442,443,444],"System Analysis","Debugging","Testing","Documentation","Impact Analysis","Incident Management",{"id":446,"slug":447,"title":448,"raw_title":10,"is_featured":11,"company":449,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":450,"processed_country_iso_code_gmaps":451,"processed_home_office":151,"processed_salary_min":452,"processed_salary_max":453,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":454,"processed_employment_types":26,"processed_it_skills":455,"processed_it_skills_labels":456,"processed_job_expertise_skills":457,"processed_job_expertise_skills_labels":458,"max_cpc":67,"actual_cpc":68},67436,"data-engineer-ii-snowflake-dbt-aws-020-travelers-indemnity-co","Data Engineer II - Snowflake, dbt, AWS",{"name":146,"slug":147,"logo_url":10},[149],[18],126500,208700,[25],{"aws":28,"dbt":29,"sql":29,"snowflake":29},[85,33,86,42],{"data mapping":29,"data quality":28,"data modeling":29,"data security":28,"data governance":28,"data warehousing":29,"systems migration":28,"data virtualization":28,"data pipeline design":29},[459,460,95,461,462,463,365,464,369],"Data Warehousing","Data Pipeline Design","Data Mapping","Data Virtualization","Systems Migration","Data Security",{"id":466,"slug":467,"title":468,"raw_title":10,"is_featured":11,"company":469,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":472,"processed_country_iso_code_gmaps":474,"processed_home_office":151,"processed_salary_min":475,"processed_salary_max":476,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":477,"processed_employment_types":26,"processed_it_skills":478,"processed_it_skills_labels":479,"processed_job_expertise_skills":486,"processed_job_expertise_skills_labels":487,"max_cpc":67,"actual_cpc":68},60117,"engineer-site-reliability-engineering-usa016-refinitiv-us-llc","Engineer - Site Reliability Engineering",{"name":470,"slug":471,"logo_url":10},"Refinitiv US LLC","refinitiv-us-llc",[473],"Creve Coeur",[18],120000,160000,[25],{"c#":29,"go":29,"aws":29,"gcp":29,"java":29,"azure":29,"python":29,"datadog":29,"entraid":29,"windows":29,"bigpanda":29,"terraform":29,"unix\u002Flinux":29},[40,480,32,185,481,482,37,42,43,483,484,123,485],"C#","Unix\u002FLinux","Windows","Datadog","BigPanda","EntraID",{"devops":29,"observability":29,"cloud migration":29,"incident response":29,"root cause analysis":29,"application security":29,"architectural reviews":29,"service level objectives":29,"site reliability engineering":29,"algorithms and data structures":29,"identity and access management":29,"operational acceptance testing":29},[488,489,490,491,419,202,492,493,188,494,495,496],"Site Reliability Engineering","Service Level Objectives","Observability","Incident Response","Architectural Reviews","Operational Acceptance Testing","Algorithms and Data Structures","Identity and Access Management","Application Security",{"id":498,"slug":499,"title":500,"raw_title":10,"is_featured":11,"company":501,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":504,"processed_country_iso_code_gmaps":505,"processed_home_office":151,"processed_salary_min":506,"processed_salary_max":507,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":508,"processed_employment_types":26,"processed_it_skills":509,"processed_it_skills_labels":510,"processed_job_expertise_skills":514,"processed_job_expertise_skills_labels":515,"max_cpc":67,"actual_cpc":68},59912,"senior-software-engineer-quantitative-research-london-stock-exchange-group-holdings-inc","Senior Software Engineer, Quantitative Research",{"name":502,"slug":503,"logo_url":10},"London Stock Exchange Group Holdings Inc","london-stock-exchange-group-holdings-inc",[77],[18],192400,320600,[25],{"aws":28,"git":28,"sql":29,"ci\u002Fcd":28,"polars":29,"python":29,"pyarrow":29,"llm apis":28},[32,511,512,33,42,158,160,513],"Polars","PyArrow","LLM APIs",{"api design":28,"data engineering":29,"index methodologies":28,"investment research":28,"quantitative finance":29,"software architecture":29,"financial data analysis":29},[516,97,54,517,93,518,519],"Quantitative Finance","API Design","Index Methodologies","Investment Research",{"id":521,"slug":522,"title":523,"raw_title":10,"is_featured":11,"company":524,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":527,"processed_country_iso_code_gmaps":529,"processed_home_office":19,"processed_salary_min":530,"processed_salary_max":531,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":532,"processed_employment_types":26,"processed_it_skills":533,"processed_it_skills_labels":534,"processed_job_expertise_skills":551,"processed_job_expertise_skills_labels":552,"max_cpc":67,"actual_cpc":68},54134,"principal-cloud-security-engineer-bank-of-montreal","Principal Cloud Security Engineer",{"name":525,"slug":526,"logo_url":10},"Bank of Montreal","bank-of-montreal",[528],"Chicago",[18],122400,228000,[25],{"aws":29,"bash":28,"nmap":28,"azure":29,"tfsec":28,"nessus":28,"python":29,"checkov":28,"node.js":28,"pytorch":28,"azure ml":28,"sagemaker":28,"snowflake":28,"wireshark":28,"burp suite":28,"databricks":28,"metasploit":28,"powershell":28,"tensorflow":28,"openai apis":28,"aws redshift":28,"hugging face":28,"prisma cloud":28,"aws guardduty":29,"azure synapse":28,"azure sentinel":29,"aws security hub":29,"microsoft defender for cloud":29},[42,37,32,44,535,324,127,536,537,538,539,540,541,542,38,39,334,543,333,544,85,335,545,546,547,548,549,550],"Bash","Burp Suite","nmap","Nessus","Metasploit","Checkov","tfsec","Prisma Cloud","Azure ML","OpenAI APIs","AWS Redshift","Azure Synapse","AWS Security Hub","AWS GuardDuty","Microsoft Defender for Cloud","Azure Sentinel",{"mlops":28,"devsecops":29,"cryptography":28,"data privacy":28,"tokenization":28,"data security":29,"ai\u002Fml security":29,"key management":28,"policy as code":29,"data encryption":28,"risk assessment":29,"threat modeling":29,"network security":28,"incident response":28,"security auditing":28,"data classification":28,"security automation":29,"security governance":29,"data loss prevention":28,"compliance frameworks":29,"data access governance":28,"vulnerability management":28,"cloud security architecture":29,"identity and access management":29},[553,554,464,495,555,136,556,557,558,559,560,561,491,562,563,564,565,566,567,568,569,570,571,572],"Cloud Security Architecture","AI\u002FML Security","Cryptography","DevSecOps","MLOps","Security Governance","Risk Assessment","Compliance Frameworks","Data Privacy","Security Automation","Policy as Code","Data Loss Prevention","Data Classification","Data Access Governance","Data Encryption","Tokenization","Key Management","Threat Modeling","Vulnerability Management","Security Auditing",{"id":574,"slug":575,"title":576,"raw_title":10,"is_featured":11,"company":577,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":578,"processed_country_iso_code_gmaps":580,"processed_home_office":151,"processed_salary_min":581,"processed_salary_max":582,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":583,"processed_employment_types":26,"processed_it_skills":584,"processed_it_skills_labels":585,"processed_job_expertise_skills":590,"processed_job_expertise_skills_labels":591,"max_cpc":67,"actual_cpc":68},67547,"software-engineer-ii-ai-agents-amp-harnesses-020-travelers-indemnity-co","Software Engineer II – AI Agents & Harnesses",{"name":146,"slug":147,"logo_url":10},[579],"Atlanta",[18],120400,198700,[25],{"aws":28,"cdk":28,"helm":28,"azure":28,"python":29,"jenkins":28,"langgraph":28,"terraform":28,"kubernetes":28,"typescript":28,"github actions":28,"distributed tracing":28,"observability tools":28},[32,222,42,37,36,123,586,435,231,329,587,588,589],"CDK","Helm","Observability tools","Distributed tracing",{"architecture":29,"system design":29,"test automation":28,"zero-trust security":28,"ai solution delivery":29,"software development":29,"technical translation":28,"stakeholder management":28,"generative ai applications":29,"secure-by-design development":28},[592,593,594,63,201,161,595,596,597,598],"Software Development","AI Solution Delivery","Generative AI Applications","Secure-by-Design Development","Zero-Trust Security","Stakeholder Management","Technical Translation",{"id":600,"slug":601,"title":602,"raw_title":10,"is_featured":11,"company":603,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":604,"processed_country_iso_code_gmaps":605,"processed_home_office":151,"processed_salary_min":606,"processed_salary_max":607,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":608,"processed_employment_types":26,"processed_it_skills":609,"processed_it_skills_labels":610,"processed_job_expertise_skills":631,"processed_job_expertise_skills_labels":632,"max_cpc":67,"actual_cpc":68},62766,"senior-data-engineer-001-prudential-ins-co-of-america","Senior Data Engineer",{"name":394,"slug":395,"logo_url":10},[397],[18],104000,171600,[25],{"r":28,"aws":29,"sql":29,"java":28,"ci\u002Fcd":28,"kafka":28,"nosql":28,"scala":28,"devops":29,"lambda":28,"python":29,"splunk":28,"airflow":28,"ansible":28,"appflow":30,"autosys":30,"kinesis":28,"pyspark":29,"tableau":28,"testing":28,"aws glue":28,"ms excel":28,"power bi":28,"security":28,"graph dbs":30,"snowflake":28,"cloudwatch":28,"data lakes":29,"apache spark":29,"aws redshift":28,"unit testing":28,"data modeling":29,"cloudformation":28,"data ingestion":29,"step functions":28,"data protection":28,"shell scripting":28,"data warehousing":29,"data visualization":28,"data transformation":29,"integration testing":28,"functional automation":28},[32,611,33,40,320,612,613,614,42,545,85,615,88,337,616,617,618,124,247,248,619,122,620,280,621,622,188,160,34,623,95,459,624,625,626,415,627,371,441,628,629,630],"R","PySpark","Apache Spark","Shell scripting","Kinesis","AppFlow","Autosys","Cloudwatch","MS Excel","CloudFormation","Lambda","Step functions","Graph DBs","Data Lakes","Data Ingestion","Data Transformation","Data Protection","Unit Testing","Integration Testing","Functional Automation",{"sdlc":29,"data analysis":29,"cloud computing":29,"data engineering":29,"data architecture":29,"devops automation":29,"data pipeline development":29,"financial\u002Finsurance industry knowledge":30},[93,633,634,364,635,636,56,637],"Data Pipeline Development","Data Analysis","SDLC","DevOps Automation","Financial\u002FInsurance Industry Knowledge",{"id":639,"slug":640,"title":641,"raw_title":10,"is_featured":11,"company":642,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":643,"processed_country_iso_code_gmaps":644,"processed_home_office":19,"processed_salary_min":80,"processed_salary_max":645,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":646,"processed_employment_types":26,"processed_it_skills":647,"processed_it_skills_labels":648,"processed_job_expertise_skills":674,"processed_job_expertise_skills_labels":675,"max_cpc":67,"actual_cpc":68},49158,"cash-management-lead-software-developer-vice-president-mufg-bank-ltd","Cash Management Lead Software Developer, Vice President",{"name":105,"slug":106,"logo_url":10},[108],[18],205000,[25],{"mq":29,"s3":28,"api":29,"aws":29,"css":29,"dos":29,"sql":29,"xml":29,"ajax":29,"j2ee":29,"java":29,"json":29,"rest":29,"soap":29,"azure":29,"ci\u002Fcd":29,"html5":29,"jboss":29,"kafka":29,"react":29,"shell":29,"spark":29,"swift":29,"xcode":29,"apache":29,"docker":29,"lambda":28,"oracle":29,"pl\u002Fsql":29,"python":29,"android":29,"angular":29,"autosys":29,"jenkins":29,"weblogic":29,"hibernate":29,"openshift":29,"terraform":28,"websphere":29,"javascript":29,"kubernetes":29,"typescript":29,"objective c":29,"spring boot":29,"microservices":29,"android studio":29,"google cloud platform":29},[40,285,649,650,434,651,90,222,652,653,186,654,655,656,33,277,657,658,88,36,35,239,42,37,659,123,32,660,661,617,160,231,336,46,662,663,664,665,666,667,668,669,670,671,672,673,621],"Hibernate","Spring Boot","Angular","HTML5","CSS","SOAP","JSON","XML","PL\u002FSQL","MQ","Google Cloud Platform","Shell","DOS","API","AJAX","Objective C","Swift","Android","Xcode","Android Studio","JBoss","WebSphere","Weblogic","Apache","S3",{"bai2":29,"nacha":29,"iso20022":29,"agentic ai":29,"ach payments":29,"wire payments":29,"waterfall\u002Fsdlc":29,"cash management":29,"detailed design":29,"mq certificates":29,"agile development":29,"functional design":29,"vendor management":29,"banking operations":29,"payment processing":29,"performance tuning":29,"production support":29,"project management":29,"architecture design":29,"liquidity management":29,"ssl\u002Ftls certificates":29,"bottomline technology":28,"monitoring and alerting":29,"finastra cash management":28,"saas platform management":29,"cloud-native architecture":29,"microservices architecture":29,"service account management":29,"aci worldwide online banking":28,"banking transmission formats":29,"financial industry experience":29,"business requirements analysis":29},[676,677,678,679,680,681,682,683,684,685,167,359,686,140,139,687,688,689,690,691,192,692,693,694,695,696,697,698,699,700,701,702],"Cash Management","Liquidity Management","Payment Processing","Wire Payments","ACH Payments","Banking Operations","Financial Industry Experience","Agile Development","Waterfall\u002FSDLC","Architecture Design","SaaS Platform Management","Business Requirements Analysis","Functional Design","Detailed Design","Production Support","Monitoring and Alerting","SSL\u002FTLS Certificates","MQ Certificates","Service Account Management","Banking Transmission Formats","NACHA","ISO20022","BAI2","Agentic AI","Bottomline Technology","ACI Worldwide Online Banking","Finastra Cash Management",{"id":704,"slug":705,"title":602,"raw_title":10,"is_featured":11,"company":706,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":707,"processed_country_iso_code_gmaps":708,"processed_home_office":151,"processed_salary_min":709,"processed_salary_max":710,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":711,"processed_employment_types":26,"processed_it_skills":712,"processed_it_skills_labels":713,"processed_job_expertise_skills":718,"processed_job_expertise_skills_labels":719,"max_cpc":67,"actual_cpc":68},67481,"senior-data-engineer-020-travelers-indemnity-co-2",{"name":146,"slug":147,"logo_url":10},[149],[18],139400,230000,[25],{"aws":29,"dbt":29,"iam":28,"dagster":29,"ai tools":28,"terraform":28,"apache airflow":29},[86,714,715,42,123,716,717],"Apache Airflow","Dagster","IAM","AI tools",{"data modeling":29,"data security":28,"cyber security":28,"data governance":28,"data engineering":29,"architecture design":29,"software engineering practices":29},[93,95,365,464,720,685,99],"Cyber Security",{"id":722,"slug":723,"title":724,"raw_title":10,"is_featured":11,"company":725,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":726,"processed_country_iso_code_gmaps":728,"processed_home_office":151,"processed_salary_min":729,"processed_salary_max":730,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":731,"processed_employment_types":26,"processed_it_skills":732,"processed_it_skills_labels":733,"processed_job_expertise_skills":743,"processed_job_expertise_skills_labels":744,"max_cpc":67,"actual_cpc":68},60062,"technical-lead-site-reliability-engineering-usa016-refinitiv-us-llc","Technical Lead - Site Reliability Engineering",{"name":470,"slug":471,"logo_url":10},[727],"Allen",[18],130000,170000,[25],{"aws":28,"elk":28,"azure":29,"linux":29,"datadog":29,"grafana":28,"terraform":28,"kubernetes":29,"prometheus":28,"generative ai":28,"llm platforms":28,"opentelemetry":28,"cloudformation":28,"vector databases":30,"rag architectures":30},[37,36,734,483,735,736,737,738,123,620,42,739,740,741,742],"Linux","Prometheus","Grafana","ELK","OpenTelemetry","Generative AI","LLM platforms","Vector databases","RAG architectures",{"slos":29,"error budgets":29,"observability":29,"system design":29,"cloud security":29,"performance tuning":29,"incident management":29,"infrastructure as code":28,"regulated environments":28,"cloud cost optimization":29,"multi-cloud environments":28,"site reliability engineering":29},[488,490,745,746,747,748,749,750,751,48,752,753],"SLOs","Error budgets","Incident management","Cloud security","Cloud cost optimization","System design","Performance tuning","Multi-cloud environments","Regulated environments",{"id":755,"slug":756,"title":757,"raw_title":10,"is_featured":11,"company":758,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":759,"processed_country_iso_code_gmaps":760,"processed_home_office":151,"processed_salary_min":475,"processed_salary_max":476,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":761,"processed_employment_types":26,"processed_it_skills":762,"processed_it_skills_labels":763,"processed_job_expertise_skills":764,"processed_job_expertise_skills_labels":765,"max_cpc":67,"actual_cpc":68},60061,"senior-engineer-site-reliability-engineering-usa016-refinitiv-us-llc","Senior Engineer - Site Reliability Engineering",{"name":470,"slug":471,"logo_url":10},[727],[18],[25],{"aws":28,"elk":28,"azure":29,"datadog":29,"grafana":28,"terraform":28,"kubernetes":29,"prometheus":28,"generative ai":28,"llm platforms":28,"opentelemetry":28,"cloudformation":28,"vector databases":28,"rag architectures":28},[37,36,483,123,620,42,735,736,737,738,739,740,741,742],{"slos":29,"error budgets":29,"observability":29,"cloud security":29,"incident management":29,"infrastructure as code":28,"regulated environments":28,"cloud cost optimization":28,"multi-cloud environments":28,"site reliability engineering":29},[488,490,745,746,747,748,749,48,752,753],{"image_path":767,"content_de":768,"content_en":781,"composite_key":794,"last_updated":795},"\u002Fimages\u002Fskill\u002Faws.webp",{"tab1":769,"tab2":772,"tab3":775,"tab4":778},{"title":770,"content":771},"Bedeutung & Relevanz","AWS (Amazon Web Services) ist eine der führenden Cloud-Plattformen weltweit und von entscheidender Bedeutung für die Finanzbranche in den [Vereinigten Staaten](\u002Fsearch). Es ermöglicht Unternehmen, skalierbare, sichere und kosteneffiziente IT-Infrastrukturen aufzubauen, was besonders im Bereich [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und [Global Asset Management](\u002Fjobs-by-industry\u002Fglobal-asset-management) von Vorteil ist. Durch die Nutzung von AWS können Finanzinstitute ihre Datenverarbeitung beschleunigen, Compliance-Anforderungen erfüllen und innovative Lösungen wie KI-Integration und Echtzeit-Datenanalyse umsetzen. In den USA, wo Technologie und Finanzen stark vernetzt sind, trägt AWS dazu bei, die digitale Transformation voranzutreiben und wettbewerbsfähig zu bleiben. Unternehmen setzen auf AWS, um Cloud-native Anwendungen zu entwickeln, Betriebskosten zu optimieren und robuste Sicherheitsstandards gemäß Vorschriften wie GDPR zu gewährleisten. Diese Relevanz macht AWS zu einer unverzichtbaren Fähigkeit für Fachkräfte, die in dynamischen Märkten wie [Newport Beach](\u002Fjobs-in-newport-beach) tätig sind.",{"title":773,"content":774},"Top-Branchen & Standorte","In den [Vereinigten Staaten](\u002Fsearch) ist AWS besonders in Branchen wie [Global Asset Management](\u002Fjobs-by-industry\u002Fglobal-asset-management) und [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) gefragt, wo Cloud-Lösungen für Datenanalyse, Portfolio-Management und Compliance essenziell sind. Top-Standorte mit hoher Nachfrage nach AWS-Kenntnissen umfassen [Newport Beach](\u002Fjobs-in-newport-beach), ein bedeutendes Zentrum für Finanzdienstleistungen und Technologie. Weitere relevante Orte sind Metropolen wie [New York](\u002Fsearch) und [San Francisco](\u002Fsearch), die für ihre starke Finanz- und Tech-Szene bekannt sind. In diesen Regionen nutzen Unternehmen AWS, um skalierbare Infrastrukturen für [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) und [Investment Management](\u002Fjobs-by-industry\u002Finvestment-management) aufzubauen, was die Effizienz steigert und Innovationen fördert. Die Kombination aus fortgeschrittenen Cloud-Technologien und finanziellem Fachwissen macht AWS zu einem Schlüsselfaktor für den Erfolg in diesen Branchen und Standorten.",{"title":776,"content":777},"Gefragte Skills & Arbeitgeber","Top-Arbeitgeber in den [Vereinigten Staaten](\u002Fsearch), die AWS-Kenntnisse suchen, umfassen Unternehmen wie Pacific Investment Mgt Co. LLC und PGA Global Services LLC, UK Branch, die in Bereichen wie [Global Asset Management](\u002Fjobs-by-industry\u002Fglobal-asset-management) tätig sind. Gefragte verwandte Expertise beinhaltet [Cloud Security Methodologies](\u002Fjobs-by-expertise\u002Fcloud-security-methodologies), [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management), [Compliance Law and Standards](\u002Fjobs-by-expertise\u002Fcompliance-law-and-standards), und [Cloud-Native Platform Development](\u002Fjobs-by-expertise\u002Fcloud-native-platform-development). Diese Skills sind entscheidend für die Implementierung sicherer und effizienter AWS-Lösungen in der Finanzbranche. Arbeitgeber erwarten von Bewerbern, dass sie AWS mit Fähigkeiten in [Microservices Architecture](\u002Fjobs-by-expertise\u002Fmicroservices-architecture), [Serverless Architecture](\u002Fjobs-by-expertise\u002Fserverless-architecture), und [Containerized Infrastructure](\u002Fjobs-by-expertise\u002Fcontainerized-infrastructure) kombinieren können, um robuste Systeme für [Asset Management](\u002Fjobs-by-expertise\u002Fasset-management) und Datenanalyse aufzubauen. Dies unterstreicht die Bedeutung von AWS in hochregulierten Umgebungen wie [Newport Beach](\u002Fjobs-in-newport-beach).",{"title":779,"content":780},"Karriere & Entwicklung","Karrierewege mit AWS in den [Vereinigten Staaten](\u002Fsearch) umfassen Rollen wie Cloud-Architekt, DevOps-Ingenieur oder Security-Spezialist in Branchen wie [Asset Management](\u002Fjobs-by-industry\u002Fasset-management). Um AWS zu erlernen, empfehlen sich Zertifizierungen von Amazon, Online-Kurse auf Plattformen wie Coursera, und praktische Erfahrung durch Projekte. Verwandte IT-Skills wie [Python](\u002Fjobs-by-skill\u002Fpython), [Azure](\u002Fjobs-by-skill\u002Fazure), [Kubernetes](\u002Fjobs-by-skill\u002Fkubernetes), und [Terraform](\u002Fjobs-by-skill\u002Fterraform) sind wertvoll, um AWS effektiv einzusetzen. Expertise in [Agile Development Practices](\u002Fjobs-by-expertise\u002Fagile-development-practices), [Data Integration](\u002Fjobs-by-expertise\u002Fdata-integration), und [AI Integration](\u002Fjobs-by-expertise\u002Fai-integration) kann die Karriereentwicklung beschleunigen. In Standorten wie [Newport Beach](\u002Fjobs-in-newport-beach) bieten Unternehmen Schulungen und Aufstiegschancen, wobei kontinuierliches Lernen und Anpassung an neue Technologien wie [Serverless Architecture](\u002Fjobs-by-expertise\u002Fserverless-architecture) entscheidend für langfristigen Erfolg sind.",{"tab1":782,"tab2":785,"tab3":788,"tab4":791},{"title":783,"content":784},"Strategic Importance","AWS (Amazon Web Services) holds immense strategic importance in the [Vereinigten Staaten](\u002Fsearch) for driving innovation and efficiency in the financial sector. As a leading cloud platform, AWS enables companies to scale operations, enhance security, and reduce costs, which is critical in competitive markets like [global asset management](\u002Fjobs-by-industry\u002Fglobal-asset-management) and [asset management](\u002Fjobs-by-industry\u002Fasset-management). In the [Vereinigten Staaten](\u002Fsearch), AWS supports key areas such as [cloud-native platform development](\u002Fjobs-by-expertise\u002Fcloud-native-platform-development), [microservices architecture](\u002Fjobs-by-expertise\u002Fmicroservices-architecture), and [data integration](\u002Fjobs-by-expertise\u002Fdata-integration), helping firms like [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) and [PGA Global Services LLC, UK Branch](\u002Fcompany\u002Fpga-global-services-llc-uk-branch) maintain agility and compliance with regulations. Its role in [digital transformation](\u002Fjobs-by-expertise\u002Fdigital-transformation) and [ai integration](\u002Fjobs-by-expertise\u002Fai-integration) makes it indispensable for staying ahead in the rapidly evolving financial landscape.",{"title":786,"content":787},"Top Industries & Locations","In the [Vereinigten Staaten](\u002Fsearch), AWS is highly sought after in top industries such as [global asset management](\u002Fjobs-by-industry\u002Fglobal-asset-management) and [asset management](\u002Fjobs-by-industry\u002Fasset-management), where cloud infrastructure is essential for handling large datasets and real-time processing. Key locations include [Newport Beach](\u002Fjobs-in-newport-beach), a hub for financial services, known for its concentration of firms leveraging AWS for [cloud security methodologies](\u002Fjobs-by-expertise\u002Fcloud-security-methodologies) and [performance attribution](\u002Fjobs-by-expertise\u002Fperformance-attribution). Other prominent areas across the [Vereinigten Staaten](\u002Fsearch) see demand in cities with strong financial sectors, supporting roles in [data analysis](\u002Fjobs-by-expertise\u002Fdata-analysis) and [it services](\u002Fjobs-by-industry\u002Fit-services), making AWS a cornerstone for modern financial operations and innovation.",{"title":789,"content":790},"In-Demand Skills & Employers","Top companies in the [Vereinigten Staaten](\u002Fsearch) like [Pacific Investment Mgt Co. LLC](\u002Fcompany\u002Fpacific-investment-mgt-co-llc) and [PGA Global Services LLC, UK Branch](\u002Fcompany\u002Fpga-global-services-llc-uk-branch) seek professionals with AWS expertise alongside skills in [cloud security methodologies](\u002Fjobs-by-expertise\u002Fcloud-security-methodologies), [risk management](\u002Fjobs-by-expertise\u002Frisk-management), and [compliance law and standards](\u002Fjobs-by-expertise\u002Fcompliance-law-and-standards). Related expertise includes [secure engineering principles](\u002Fjobs-by-expertise\u002Fsecure-engineering-principles), [privacy (dpa \u002F gdpr)](\u002Fjobs-by-expertise\u002Fprivacy-dpa-gdpr), and [ai integration](\u002Fjobs-by-expertise\u002Fai-integration), which are critical for roles in [financial services](\u002Fjobs-by-industry\u002Ffinancial-services) and [investment management](\u002Fjobs-by-industry\u002Finvestment-management). Employers value AWS for enabling [operational efficiency](\u002Fjobs-by-expertise\u002Foperational-efficiency) and supporting [complex technology stacks](\u002Fjobs-by-expertise\u002Fcomplex-technology-stacks), making it a key requirement for advancing in the competitive U.S. job market.",{"title":792,"content":793},"Career & Development","A career with AWS in the [Vereinigten Staaten](\u002Fsearch) offers paths in cloud architecture, DevOps, and security, often starting with roles like cloud engineer or solutions architect. To learn AWS, pursue certifications like AWS Certified Solutions Architect and gain hands-on experience with [python](\u002Fjobs-by-skill\u002Fpython), [java](\u002Fjobs-by-skill\u002Fjava), and [kubernetes](\u002Fjobs-by-skill\u002Fkubernetes). Relevant expertise includes [agile development practices](\u002Fjobs-by-expertise\u002Fagile-development-practices), [project management](\u002Fjobs-by-expertise\u002Fproject-management), and [data governance](\u002Fjobs-by-expertise\u002Fdata-governance), while top IT skills to complement AWS are [azure](\u002Fjobs-by-skill\u002Fazure), [terraform](\u002Fjobs-by-skill\u002Fterraform), and [ci\u002Fcd](\u002Fjobs-by-skill\u002Fci-cd). Continuous learning through online courses and practical projects can lead to advancements in fields like [fintech](\u002Fjobs-by-industry\u002Ffintech) and [banking](\u002Fjobs-by-industry\u002Fbanking), ensuring long-term growth in the dynamic U.S. financial sector.","skill:aws:us","2026-08-17T09:01:57.504733+02:00",{"total":797,"jobs":798},0,[],{"industry":800,"employment_type":853,"expertise_skills":861,"it_skills":930,"salary_currency":1003,"processed_working_hours":1008},[801,805,809,813,817,821,825,828,832,836,838,841,844,847,850],{"key":802,"label":803,"count":804},"insurance","Insurance",125,{"key":806,"label":807,"count":808},"financial services","Financial Services",70,{"key":810,"label":811,"count":812},"banking","Banking",27,{"key":814,"label":815,"count":816},"financial markets infrastructure","Financial Markets Infrastructure",23,{"key":818,"label":819,"count":820},"data","Data",17,{"key":822,"label":823,"count":824},"property","Property",10,{"key":826,"label":827,"count":824},"casualty insurance","Casualty Insurance",{"key":829,"label":830,"count":831},"asset management","Asset Management",9,{"key":833,"label":834,"count":835},"data provider","Data Provider",6,{"key":837,"label":422,"count":29},"risk management",{"key":839,"label":840,"count":30},"financial markets data","Financial Markets Data",{"key":842,"label":843,"count":30},"infrastructure","Infrastructure",{"key":845,"label":846,"count":67},"employee benefits brokerage","Employee Benefits Brokerage",{"key":848,"label":849,"count":67},"alternative investments","Alternative Investments",{"key":851,"label":852,"count":67},"credit union","Credit Union",[854,857],{"key":26,"label":855,"count":856},"PERMANENT",246,{"key":858,"label":859,"count":860},"student","STUDENT",5,[862,865,868,871,874,877,881,885,888,891,893,895,897,900,904,907,910,913,916,918,921,923,925,927],{"key":863,"label":365,"slug":863,"count":864},"data-governance",41,{"key":866,"label":93,"slug":866,"count":867},"data-engineering",35,{"key":869,"label":165,"slug":869,"count":870},"software-engineering",30,{"key":872,"label":63,"slug":872,"count":873},"system-design",29,{"key":875,"label":490,"slug":875,"count":876},"observability",28,{"key":878,"label":879,"slug":878,"count":880},"agile-methodologies","Agile Methodologies",26,{"key":882,"label":883,"slug":882,"count":884},"cloud-architecture","Cloud Architecture",25,{"key":886,"label":887,"slug":886,"count":884},"project-management","Project management",{"key":889,"label":53,"slug":889,"count":890},"distributed-systems",24,{"key":892,"label":592,"slug":892,"count":890},"software-development",{"key":894,"label":634,"slug":894,"count":816},"data-analysis",{"key":896,"label":384,"slug":896,"count":816},"compliance",{"key":898,"label":422,"slug":898,"count":899},"risk-management",22,{"key":901,"label":902,"slug":901,"count":903},"regulatory-compliance","Regulatory Compliance",21,{"key":905,"label":369,"slug":905,"count":906},"data-quality",20,{"key":908,"label":419,"slug":908,"count":909},"root-cause-analysis",19,{"key":911,"label":464,"slug":911,"count":912},"data-security",18,{"key":914,"label":915,"slug":914,"count":912},"machine-learning","Machine Learning",{"key":917,"label":444,"slug":917,"count":912},"incident-management",{"key":919,"label":920,"slug":919,"count":912},"automation","Automation",{"key":922,"label":345,"slug":922,"count":820},"enterprise-architecture",{"key":924,"label":95,"slug":924,"count":820},"data-modeling",{"key":926,"label":200,"slug":926,"count":820},"technical-leadership",{"key":928,"label":929,"slug":928,"count":820},"devops","Devops",[931,934,937,941,944,947,950,954,958,961,964,967,970,974,976,979,981,984,986,990,993,996,998,1001],{"key":932,"label":933,"slug":932,"count":4},"aws","Aws",{"key":935,"label":32,"slug":935,"count":936},"python",169,{"key":938,"label":939,"slug":938,"count":940},"ms-azure","MS Azure",155,{"key":942,"label":33,"slug":942,"count":943},"sql",99,{"key":945,"label":36,"slug":945,"count":946},"kubernetes",94,{"key":948,"label":40,"slug":948,"count":949},"java",87,{"key":951,"label":952,"slug":951,"count":953},"cicd","Ci\u002FCd",81,{"key":955,"label":956,"slug":955,"count":957},"gcp","Gcp",71,{"key":959,"label":35,"slug":959,"count":960},"docker",67,{"key":962,"label":123,"slug":962,"count":963},"terraform",56,{"key":965,"label":158,"slug":965,"count":966},"git",47,{"key":968,"label":85,"slug":968,"count":969},"snowflake",40,{"key":971,"label":972,"slug":971,"count":973},"powershell","Powershell",36,{"key":975,"label":480,"slug":975,"count":973},"c",{"key":977,"label":978,"slug":977,"count":867},"nosql","Nosql",{"key":980,"label":185,"slug":980,"count":867},"go",{"key":982,"label":46,"slug":982,"count":983},"microservices",34,{"key":985,"label":88,"slug":985,"count":983},"kafka",{"key":987,"label":988,"slug":987,"count":989},"typescript","Typescript",33,{"key":991,"label":434,"slug":991,"count":992},"react",32,{"key":994,"label":995,"slug":994,"count":992},"javascript","Javascript",{"key":997,"label":231,"slug":997,"count":870},"jenkins",{"key":999,"label":1000,"slug":999,"count":812},"infrastructure-as-code","Infrastructure As Code",{"key":1002,"label":335,"slug":1002,"count":880},"databricks",[1004,1006],{"key":22,"label":22,"count":1005},249,{"key":1007,"label":1007,"count":28},"GBP",[1009],{"key":25,"label":25,"count":4}]