[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-python-global":3,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fpython?page=44":4,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fpython?page=44":733,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fpython?page=44":736},{},{"total":5,"jobs":6},2099,[7,52,115,151,183,212,251,293,334,364,386,410,429,474,525,551,591,635,678,713],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":17,"processed_country_iso_code_gmaps":19,"processed_home_office":21,"processed_salary_min":22,"processed_salary_max":23,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":26,"processed_employment_types":28,"processed_it_skills":29,"processed_it_skills_labels":32,"processed_job_expertise_skills":42,"processed_job_expertise_skills_labels":43,"max_cpc":51,"actual_cpc":51},89195,"system-platform-engineer-mwd-linux-rv-versicherung","System Platform Engineer (m\u002Fw\u002Fd) Linux",null,false,{"name":14,"slug":15,"logo_url":16},"R+V Versicherung","rv-versicherung","https:\u002F\u002Fupload.wikimedia.org\u002Fwikipedia\u002Fcommons\u002Fthumb\u002Fb\u002Fb6\u002FR%2BV-Logo.svg\u002F330px-R%2BV-Logo.svg.png",[18],"Wiesbaden",[20],"DE","hybrid",60000,80000,"EUR","estimated",[27],"FULL_TIME","permanent",{"rpm":30,"perl":30,"linux":30,"shell":30,"python":30,"vmware":31,"ansible":30,"pacemaker":31,"hpe-superdome":31},4,3,[33,34,35,36,37,38,39,40,41],"Linux","Shell","Perl","Python","RPM","Ansible","VMware","Pacemaker","HPE-SuperDome",{"it consulting":31,"system expansion":31,"migration planning":31,"system platform engineering":30,"operating system maintenance":30,"operating system installation":30,"operating system configuration":30},[44,45,46,47,48,49,50],"System Platform Engineering","Operating System Installation","Operating System Configuration","Operating System Maintenance","IT Consulting","Migration Planning","System Expansion",1,{"id":53,"slug":54,"title":55,"raw_title":11,"is_featured":12,"company":56,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":59,"processed_country_iso_code_gmaps":61,"processed_home_office":63,"processed_salary_min":64,"processed_salary_max":65,"processed_salary_currency":66,"processed_salary_source":25,"processed_working_hours":67,"processed_employment_types":28,"processed_it_skills":68,"processed_it_skills_labels":69,"processed_job_expertise_skills":101,"processed_job_expertise_skills_labels":102,"max_cpc":51,"actual_cpc":51},94904,"qa-automation-engineer-refinitiv-india-shared-services-private-limited-2","QA Automation Engineer",{"name":57,"slug":58,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[60],"Bengaluru",[62],"IN","onsite",2000000,3500000,"INR",[27],{"k6":30,"java":30,"kafka":30,"allure":30,"aws s3":30,"jmeter":30,"karate":30,"pytest":30,"python":30,"aws msk":30,"aws rds":30,"aws sns":30,"aws sqs":30,"datadog":30,"gatling":30,"grafana":30,"jenkins":30,"postman":30,"rabbitmq":30,"selenium":30,"gitlab ci":30,"aws lambda":30,"clickhouse":30,"playwright":30,"postgresql":30,"typescript":30,"aws dynamodb":30,"azure devops":30,"rest assured":30,"aws cloudwatch":30,"aws api gateway":30,"nosql databases":30},[70,36,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100],"Java","TypeScript","REST Assured","Postman","Karate","PyTest","Selenium","Playwright","Kafka","AWS MSK","RabbitMQ","PostgreSQL","NoSQL databases","GitLab CI","Jenkins","Azure DevOps","AWS Lambda","AWS API Gateway","AWS S3","AWS DynamoDB","AWS RDS","AWS SQS","AWS SNS","AWS CloudWatch","JMeter","K6","Gatling","Allure","Grafana","Datadog","ClickHouse",{"api testing":30,"agile testing":30,"test strategy":30,"data validation":30,"ci\u002Fcd integration":30,"defect management":30,"performance testing":30,"root cause analysis":30,"microservices testing":30,"quality engineering principles":30,"test automation framework design":30,"event-driven architecture testing":30},[103,104,105,106,107,108,109,110,111,112,113,114],"Test automation framework design","API testing","Microservices testing","Event-driven architecture testing","Data validation","CI\u002FCD integration","Performance testing","Quality engineering principles","Test strategy","Defect management","Root cause analysis","Agile testing",{"id":116,"slug":117,"title":118,"raw_title":11,"is_featured":12,"company":119,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":122,"processed_country_iso_code_gmaps":124,"processed_home_office":21,"processed_salary_min":126,"processed_salary_max":127,"processed_salary_currency":128,"processed_salary_source":25,"processed_working_hours":129,"processed_employment_types":28,"processed_it_skills":130,"processed_it_skills_labels":131,"processed_job_expertise_skills":138,"processed_job_expertise_skills_labels":140,"max_cpc":51,"actual_cpc":51},98415,"business-insights-analyst-ii-meloche-monnex-inc-3","Business Insights Analyst II",{"name":120,"slug":121,"logo_url":11},"Meloche Monnex Inc.","meloche-monnex-inc",[123],"Montreal",[125],"CA",79100,111700,"CAD",[27],{"sql":30,"python":30,"power bi":31,"shiny\u002Fposit":31,"data pipelines":31,"automation tools":31,"data visualization":30},[132,36,133,134,135,136,137],"SQL","Power BI","Shiny\u002FPosit","Data Visualization","Data Pipelines","Automation Tools",{"guidewire":139,"data analysis":30,"risk assessment":31,"statistical analysis":30,"business intelligence":30,"dashboard development":30,"data quality assurance":30,"underwriting processes":31,"insurance industry knowledge":31,"portfolio performance analysis":31},2,[141,142,143,144,145,146,147,148,149,150],"Statistical Analysis","Data Analysis","Insurance Industry Knowledge","Underwriting Processes","Risk Assessment","Portfolio Performance Analysis","Data Quality Assurance","Dashboard Development","Business Intelligence","Guidewire",{"id":152,"slug":153,"title":154,"raw_title":11,"is_featured":12,"company":155,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":159,"processed_country_iso_code_gmaps":161,"processed_home_office":21,"processed_salary_min":163,"processed_salary_max":164,"processed_salary_currency":165,"processed_salary_source":25,"processed_working_hours":166,"processed_employment_types":28,"processed_it_skills":167,"processed_it_skills_labels":168,"processed_job_expertise_skills":170,"processed_job_expertise_skills_labels":171,"max_cpc":51,"actual_cpc":51},84341,"starszya-specjalistatka-ds-analizy-rynku-i-klientow-ing-bank-slaski-sa","Starszy_a Specjalista_tka ds. analizy rynku i klientów",{"name":156,"slug":157,"logo_url":158},"ING Bank Slaski S.A.","ing-bank-slaski-sa","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[160],"Katowice",[162],"PL",15000,25000,"PLN",[27],{"sas":31,"sql":31,"python":31,"power bi":31},[132,133,169,36],"SAS",{"kpi design":30,"market analysis":30,"analytical modeling":30,"behavioral analysis":30,"customer segmentation":30,"business data analysis":30,"customer data analysis":30,"large dataset handling":30,"data quality management":30,"strategic planning support":30,"data-driven recommendations":30},[172,173,174,175,176,177,178,179,180,181,182],"Business data analysis","Customer data analysis","Market analysis","Large dataset handling","Analytical modeling","Data-driven recommendations","Customer segmentation","Behavioral analysis","KPI design","Strategic planning support","Data quality management",{"id":184,"slug":185,"title":186,"raw_title":11,"is_featured":12,"company":187,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":188,"processed_country_iso_code_gmaps":189,"processed_home_office":63,"processed_salary_min":190,"processed_salary_max":191,"processed_salary_currency":128,"processed_salary_source":25,"processed_working_hours":192,"processed_employment_types":28,"processed_it_skills":193,"processed_it_skills_labels":194,"processed_job_expertise_skills":201,"processed_job_expertise_skills_labels":202,"max_cpc":51,"actual_cpc":51},98404,"actuarial-analyst-meloche-monnex-inc","Actuarial Analyst",{"name":120,"slug":121,"logo_url":11},[123],[125],85000,110000,[27],{"aws":139,"gcp":139,"azure":139,"spark":139,"python":31,"snowflake":139,"databricks":139},[36,195,196,197,198,199,200],"AWS","Azure","GCP","Databricks","Snowflake","Spark",{"pricing":31,"cloud computing":139,"machine learning":31,"model governance":31,"data architecture":139,"big data technologies":139,"statistical techniques":30,"actuarial predictive modeling":30,"property & casualty insurance":30},[203,204,205,206,207,208,209,210,211],"Actuarial predictive modeling","Statistical techniques","Machine learning","Model governance","Property & Casualty insurance","Pricing","Cloud computing","Big data technologies","Data architecture",{"id":213,"slug":214,"title":215,"raw_title":11,"is_featured":12,"company":216,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":219,"processed_country_iso_code_gmaps":221,"processed_home_office":63,"processed_salary_min":22,"processed_salary_max":223,"processed_salary_currency":224,"processed_salary_source":25,"processed_working_hours":225,"processed_employment_types":28,"processed_it_skills":226,"processed_it_skills_labels":227,"processed_job_expertise_skills":236,"processed_job_expertise_skills_labels":237,"max_cpc":51,"actual_cpc":51},97772,"senior-managerassociate-director-data-insight-sun-life-hong-kong-limited","Senior Manager\u002FAssociate Director, Data & Insight",{"name":217,"slug":218,"logo_url":11},"Sun Life Hong Kong Limited","sun-life-hong-kong-limited",[220],"九龍",[222],"HK",90000,"HKD",[27],{"s3":31,"aws":30,"etl":30,"sql":30,"glue":31,"athena":31,"python":139,"tableau":30,"power bi":31,"redshift":30,"data modeling":30,"data architecture":30},[132,195,228,229,230,231,232,133,36,233,234,235],"Redshift","Glue","Athena","S3","Tableau","ETL","Data Modeling","Data Architecture",{"crm":31,"analytics":30,"data migration":30,"data governance":30,"data engineering":30,"data warehousing":30,"customer analytics":30,"project management":30,"data transformation":30,"marketing analytics":30,"business intelligence":30,"stakeholder management":30,"data quality management":30,"customer value management":30},[238,149,239,240,241,242,243,244,245,246,247,248,249,250],"Data Engineering","Data Warehousing","Analytics","Data Migration","Data Transformation","CRM","Customer Analytics","Marketing Analytics","Customer Value Management","Stakeholder Management","Project Management","Data Governance","Data Quality Management",{"id":252,"slug":253,"title":254,"raw_title":11,"is_featured":12,"company":255,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":258,"processed_country_iso_code_gmaps":260,"processed_home_office":63,"processed_salary_min":191,"processed_salary_max":262,"processed_salary_currency":263,"processed_salary_source":25,"processed_working_hours":264,"processed_employment_types":28,"processed_it_skills":265,"processed_it_skills_labels":266,"processed_job_expertise_skills":279,"processed_job_expertise_skills_labels":280,"max_cpc":51,"actual_cpc":51},86664,"senior-quality-assurance-automation-engineer-federal-reserve-bank-of-st-louis","Senior Quality Assurance Automation Engineer",{"name":256,"slug":257,"logo_url":11},"Federal Reserve Bank of St. Louis","federal-reserve-bank-of-st-louis",[259],"St. Louis",[261],"US",145000,"USD",[27],{"sql":30,"java":30,"jira":31,"xray":31,"aws s3":31,"python":30,"aws ec2":31,"aws rds":31,"gatling":31,"postman":31,"aws glue":31,"selenium":30,"aws config":31,"aws lambda":31,"jupyter lab":31,"aws redshift":30,"aws inspector":31,"aws sagemaker":31,"aws security hub":31,"aws step functions":31,"infrastructure as code (iac)":31},[36,70,76,267,268,269,270,88,90,271,272,86,273,274,275,276,277,132,73,96,278],"Jupyter Lab","Jira","Xray","AWS EC2","AWS Redshift","AWS Glue","AWS Step Functions","AWS SageMaker","AWS Config","AWS Security Hub","AWS Inspector","Infrastructure as Code (IaC)",{"api testing":30,"cloud testing":30,"data analysis":30,"test automation":30,"big data testing":30,"scrum ceremonies":31,"security testing":31,"agile methodology":31,"test plan creation":30,"performance testing":30,"database query writing":30,"test strategy development":30,"test framework development":30},[281,282,283,284,285,286,287,142,288,289,290,291,292],"Test Automation","Test Framework Development","Test Plan Creation","Test Strategy Development","Performance Testing","API Testing","Security Testing","Database Query Writing","Agile Methodology","Scrum Ceremonies","Cloud Testing","Big Data Testing",{"id":294,"slug":295,"title":296,"raw_title":11,"is_featured":12,"company":297,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":300,"processed_country_iso_code_gmaps":302,"processed_home_office":21,"processed_salary_min":64,"processed_salary_max":303,"processed_salary_currency":66,"processed_salary_source":25,"processed_working_hours":304,"processed_employment_types":28,"processed_it_skills":305,"processed_it_skills_labels":306,"processed_job_expertise_skills":317,"processed_job_expertise_skills_labels":318,"max_cpc":51,"actual_cpc":51},83087,"qa-senior-engineer-avp-f337-deutsche-india-private-limited-pune-branch","QA Senior Engineer, AVP",{"name":298,"slug":299,"logo_url":11},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[301],"Pune",[62],3000000,[27],{"gcp":139,"sql":30,"java":30,"maven":31,"react":31,"docker":139,"kotlin":30,"python":30,"jenkins":31,"cucumber":30,"teamcity":31,"openshift":139,"kubernetes":139,"artifactory":31,"unix scripting":139},[307,70,308,36,132,309,310,311,312,197,313,84,314,315,316],"Cucumber","Kotlin","React","Docker","Kubernetes","Openshift","Unix scripting","TeamCity","Maven","Artifactory",{"bdd":30,"stlc":30,"agile":30,"scrum":30,"ai tools":31,"risk domain":31,"data warehouse":31,"finance domain":31,"test automation":30,"treasury domain":31,"hybrid framework":30,"regression testing":30,"ui test automation":30,"data driven testing":30,"keyword driven testing":30,"investment banking domain":31},[281,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333],"BDD","UI Test Automation","Data Driven Testing","Keyword Driven Testing","Hybrid Framework","Regression Testing","Agile","Scrum","STLC","Data Warehouse","Investment Banking Domain","Finance Domain","Risk Domain","Treasury Domain","AI Tools",{"id":335,"slug":336,"title":337,"raw_title":11,"is_featured":12,"company":338,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":341,"processed_country_iso_code_gmaps":343,"processed_home_office":21,"processed_salary_min":344,"processed_salary_max":345,"processed_salary_currency":263,"processed_salary_source":25,"processed_working_hours":346,"processed_employment_types":28,"processed_it_skills":347,"processed_it_skills_labels":348,"processed_job_expertise_skills":355,"processed_job_expertise_skills_labels":356,"max_cpc":51,"actual_cpc":51},85838,"software-engineer-snowflake-manufacturers-and-traders-trust-co","Software Engineer - Snowflake",{"name":339,"slug":340,"logo_url":11},"Manufacturers and Traders Trust Co","manufacturers-and-traders-trust-co",[342],"Buffalo",[261],80900,134800,[27],{"etl":31,"sql":30,"azure":31,"ci\u002Fcd":31,"linux":31,"rdbms":31,"gitlab":31,"pytest":31,"python":30,"ansible":31,"fastapi":31,"pydantic":31,"snowflake":30,"terraform":31,"databricks":31},[36,75,349,350,199,198,132,351,233,352,353,354,38,33,196],"Pydantic","FastAPI","RDBMS","CI\u002FCD","GitLab","Terraform",{"risk management":139,"data engineering":31,"systems analysis":31,"platform governance":31,"medallion architecture":31,"application development":31,"resiliency improvements":31,"performance optimization":31},[357,358,238,359,360,361,362,363],"Systems Analysis","Application Development","Medallion Architecture","Platform Governance","Risk Management","Performance Optimization","Resiliency Improvements",{"id":365,"slug":366,"title":367,"raw_title":11,"is_featured":12,"company":368,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":369,"processed_country_iso_code_gmaps":370,"processed_home_office":21,"processed_salary_min":371,"processed_salary_max":372,"processed_salary_currency":128,"processed_salary_source":25,"processed_working_hours":373,"processed_employment_types":28,"processed_it_skills":374,"processed_it_skills_labels":375,"processed_job_expertise_skills":377,"processed_job_expertise_skills_labels":378,"max_cpc":51,"actual_cpc":51},98407,"actuarial-analyst-iii-meloche-monnex-inc-2","Actuarial Analyst III",{"name":120,"slug":121,"logo_url":11},[123],[125],100000,130000,[27],{"r":31,"sql":30,"python":30,"tableau":31,"power bi":31,"databricks":31},[132,36,376,198,133,232],"R",{"audit":31,"data analysis":30,"risk management":30,"pricing analysis":31,"actuarial science":30,"process improvement":31,"financial projections":31,"regulatory compliance":31,"property & casualty insurance":30},[379,380,142,361,381,382,383,384,385],"Actuarial Science","Property & Casualty Insurance","Financial Projections","Pricing Analysis","Regulatory Compliance","Audit","Process Improvement",{"id":387,"slug":388,"title":389,"raw_title":11,"is_featured":12,"company":390,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":393,"processed_country_iso_code_gmaps":395,"processed_home_office":63,"processed_salary_min":396,"processed_salary_max":397,"processed_salary_currency":263,"processed_salary_source":25,"processed_working_hours":398,"processed_employment_types":28,"processed_it_skills":399,"processed_it_skills_labels":400,"processed_job_expertise_skills":402,"processed_job_expertise_skills_labels":403,"max_cpc":51,"actual_cpc":51},83597,"pricing-analyst-ii-government-employees-insurance-company","Pricing Analyst II",{"name":391,"slug":392,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[394],"Cleveland",[261],51250,115825,[27],{"r":31,"sas":31,"sql":31,"excel":31,"python":31,"power bi":31},[376,169,132,36,133,401],"Excel",{"ratemaking":30,"rate reviews":30,"data analysis":30,"pricing analysis":30,"insurance filings":30,"loss trend analysis":30,"statistical analysis":30,"business communication":30,"insurance product development":30},[382,141,404,405,406,407,408,409,142],"Ratemaking","Rate Reviews","Insurance Filings","Loss Trend Analysis","Insurance Product Development","Business Communication",{"id":411,"slug":412,"title":413,"raw_title":11,"is_featured":12,"company":414,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":415,"processed_country_iso_code_gmaps":416,"processed_home_office":21,"processed_salary_min":417,"processed_salary_max":418,"processed_salary_currency":263,"processed_salary_source":25,"processed_working_hours":419,"processed_employment_types":28,"processed_it_skills":420,"processed_it_skills_labels":421,"processed_job_expertise_skills":424,"processed_job_expertise_skills_labels":425,"max_cpc":51,"actual_cpc":51},85832,"senior-software-engineer-snowflake-manufacturers-and-traders-trust-co","Senior Software Engineer - Snowflake",{"name":339,"slug":340,"logo_url":11},[342],[261],97100,161800,[27],{"etl":31,"sql":30,"azure":31,"ci\u002Fcd":31,"linux":31,"rdbms":31,"gitlab":31,"pytest":31,"python":30,"ansible":31,"fastapi":31,"pydantic":31,"oauth 2.0":31,"snowflake":30,"terraform":31,"databricks":31,"ai engineering":31},[36,75,349,350,422,199,198,132,351,233,352,353,354,38,423,33,196],"OAuth 2.0","AI Engineering",{"risk management":31,"software design":30,"data engineering":30,"systems analysis":30,"platform governance":30,"software development":30,"regulatory compliance":31,"medallion architecture":31,"resiliency engineering":30,"application development":30,"performance optimization":30},[357,358,426,427,362,428,360,361,383,359,238],"Software Design","Software Development","Resiliency Engineering",{"id":430,"slug":431,"title":432,"raw_title":11,"is_featured":12,"company":433,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":436,"processed_country_iso_code_gmaps":438,"processed_home_office":21,"processed_salary_min":439,"processed_salary_max":440,"processed_salary_currency":263,"processed_salary_source":25,"processed_working_hours":441,"processed_employment_types":28,"processed_it_skills":442,"processed_it_skills_labels":443,"processed_job_expertise_skills":460,"processed_job_expertise_skills_labels":461,"max_cpc":51,"actual_cpc":51},88461,"senior-architect-ai-travelers-indemnity-co","Senior Architect (AI)",{"name":434,"slug":435,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[437],"Hartford",[261],139400,230000,[27],{"ci\u002Fcd":30,"mlops":30,"ai ops":30,"python":30,"crew ai":30,"pytorch":31,"strands":30,"langchain":30,"tensorflow":31,"aws bedrock":30,"openai codex":30,"azure foundry":31,"gcp\u002Fgemini ai":31,"rag pipelines":30,"github copilot":30,"vector databases":30,"claude enterprise\u002Fcli\u002Fcode":30,"model context protocol (mcp)":30},[36,444,445,446,447,448,449,450,451,452,453,454,455,456,457,352,458,459],"TensorFlow","PyTorch","LangChain","Strands","Crew AI","Model Context Protocol (MCP)","AWS Bedrock","Azure Foundry","GCP\u002FGemini AI","GitHub Copilot","OpenAI Codex","Claude Enterprise\u002FCLI\u002FCode","Vector Databases","RAG Pipelines","MLOps","AI Ops",{"agentic ai":30,"ai governance":30,"generative ai":30,"responsible ai":30,"value creation":31,"ai\u002Fml development":30,"prompt engineering":30,"agile methodologies":30,"insurance technology":31,"enterprise architecture":30,"business capability models":31,"neural network architectures":30},[462,463,464,465,466,467,468,469,470,471,472,473],"AI\u002FML Development","Generative AI","Agentic AI","Neural Network Architectures","Prompt Engineering","AI Governance","Responsible AI","Enterprise Architecture","Agile Methodologies","Insurance Technology","Business Capability Models","Value Creation",{"id":475,"slug":476,"title":477,"raw_title":11,"is_featured":12,"company":478,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":481,"processed_country_iso_code_gmaps":483,"processed_home_office":21,"processed_salary_min":485,"processed_salary_max":22,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":486,"processed_employment_types":28,"processed_it_skills":487,"processed_it_skills_labels":488,"processed_job_expertise_skills":503,"processed_job_expertise_skills_labels":504,"max_cpc":51,"actual_cpc":51},84559,"linux-engineer-coba-nearshoring-sofia-bg","Linux Engineer",{"name":479,"slug":480,"logo_url":11},"CoBa Nearshoring Sofia BG","coba-nearshoring-sofia-bg",[482],"Sofia",[484],"BG",40000,[27],{"gcp":31,"git":31,"apis":31,"http":31,"rhel":30,"siem":31,"yaml":31,"azure":31,"ci\u002Fcd":31,"jinja":31,"linux":30,"shell":31,"python":31,"vmware":31,"ansible":30,"jenkins":31,"teamcity":31,"openshift":31,"networking":31,"virtualization":31,"cloud platforms":31,"version control":31,"containerization":31,"red hat satellite api":139,"ms defender for endpoint linux":139},[33,489,38,36,34,352,314,84,490,39,196,197,491,492,493,494,312,495,496,497,498,499,500,501,502],"RHEL","Git","Red Hat Satellite API","MS Defender for Endpoint Linux","YAML","JINJA","HTTP","APIs","SIEM","Networking","Virtualization","Cloud Platforms","Containerization","Version Control",{"logging":31,"auditing":31,"code testing":31,"incident analysis":30,"release processes":30,"patching processes":30,"performance tuning":30,"security hardening":30,"linux server design":30,"root cause analysis":30,"automation scripting":30,"deployment processes":30,"lifecycle management":31,"network configuration":30,"security architecture":30,"software architecture":31,"scalability architecture":30,"linux server installation":30,"linux server configuration":30,"high availability architecture":30},[505,506,507,508,509,510,511,512,513,514,515,516,517,518,519,520,521,522,523,524],"Linux Server Design","Linux Server Installation","Linux Server Configuration","High Availability Architecture","Scalability Architecture","Security Architecture","Incident Analysis","Root Cause Analysis","Performance Tuning","Automation Scripting","Deployment Processes","Patching Processes","Release Processes","Network Configuration","Security Hardening","Logging","Auditing","Software Architecture","Lifecycle Management","Code Testing",{"id":526,"slug":527,"title":528,"raw_title":11,"is_featured":12,"company":529,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":530,"processed_country_iso_code_gmaps":531,"processed_home_office":63,"processed_salary_min":532,"processed_salary_max":533,"processed_salary_currency":263,"processed_salary_source":25,"processed_working_hours":534,"processed_employment_types":28,"processed_it_skills":535,"processed_it_skills_labels":536,"processed_job_expertise_skills":541,"processed_job_expertise_skills_labels":542,"max_cpc":51,"actual_cpc":51},85799,"financial-analyst-ii-scenario-design-team-manufacturers-and-traders-trust-co","Financial Analyst II - Scenario Design Team",{"name":339,"slug":340,"logo_url":11},[342],[261],62200,103600,[27],{"word":31,"excel":31,"access":31,"python":139,"power bi":139,"powerpoint":31,"microsoft sql":139},[401,537,538,539,36,133,540],"PowerPoint","Word","Access","Microsoft SQL",{"finance":31,"economics":31,"data querying":139,"risk management":139,"economic research":31,"data visualization":139,"financial forecasting":31,"regulatory compliance":139,"banking industry knowledge":139,"capital adequacy assessment":31,"macroeconomic scenario design":31},[543,544,545,546,547,548,549,135,550,361,383],"Economics","Finance","Banking Industry Knowledge","Macroeconomic Scenario Design","Financial Forecasting","Capital Adequacy Assessment","Economic Research","Data Querying",{"id":552,"slug":553,"title":554,"raw_title":11,"is_featured":12,"company":555,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":556,"processed_country_iso_code_gmaps":557,"processed_home_office":21,"processed_salary_min":558,"processed_salary_max":559,"processed_salary_currency":263,"processed_salary_source":25,"processed_working_hours":560,"processed_employment_types":28,"processed_it_skills":561,"processed_it_skills_labels":562,"processed_job_expertise_skills":567,"processed_job_expertise_skills_labels":568,"max_cpc":51,"actual_cpc":51},88450,"lead-architect-ai-travelers-indemnity-co","Lead Architect (AI)",{"name":434,"slug":435,"logo_url":11},[437],[261],169400,279600,[27],{"aws":30,"gcp":31,"rag":30,"sql":31,"llms":30,"azure":31,"ci\u002Fcd":31,"mlops":30,"docker":31,"python":30,"pytorch":30,"agentic ai":30,"kubernetes":31,"tensorflow":30,"agent2agent":30,"openai codex":31,"generative ai":30,"github copilot":31,"vector databases":30,"multi-agent orchestration":30,"claude enterprise\u002Fcli\u002Fcode":31,"model context protocol (mcp)":30},[36,132,195,196,197,444,445,310,311,352,458,463,563,564,456,464,565,449,566,455,454,453],"LLMs","RAG","Multi-agent Orchestration","Agent2Agent",{"security":30,"ai ethics":30,"compliance":30,"resiliency":30,"statistics":30,"scalability":30,"ai governance":30,"deep learning":30,"system design":30,"linear algebra":30,"responsible ai":30,"value creation":30,"ai architecture":30,"bias mitigation":30,"business acumen":30,"neural networks":30,"interoperability":30,"machine learning":30,"cost optimization":30,"cloud architecture":30,"probability theory":30,"agile methodologies":30,"model risk management":30,"technology roadmapping":30,"enterprise architecture":30,"transformational change":30,"business capability models":30,"insurance industry knowledge":31,"regulatory frameworks (eu ai act, gdpr)":30},[569,570,571,572,573,574,575,576,577,468,467,578,579,143,580,469,581,582,583,584,585,586,587,588,470,589,590,473,472],"AI Architecture","Machine Learning","Deep Learning","Neural Networks","Linear Algebra","Statistics","Probability Theory","AI Ethics","Bias Mitigation","Model Risk Management","Regulatory Frameworks (EU AI Act, GDPR)","Technology Roadmapping","Cloud Architecture","System Design","Scalability","Resiliency","Interoperability","Security","Compliance","Cost Optimization","Transformational Change","Business Acumen",{"id":592,"slug":593,"title":594,"raw_title":11,"is_featured":12,"company":595,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":598,"processed_country_iso_code_gmaps":600,"processed_home_office":21,"processed_salary_min":371,"processed_salary_max":602,"processed_salary_currency":603,"processed_salary_source":25,"processed_working_hours":604,"processed_employment_types":28,"processed_it_skills":605,"processed_it_skills_labels":606,"processed_job_expertise_skills":620,"processed_job_expertise_skills_labels":621,"max_cpc":51,"actual_cpc":51},84878,"remote-access-engineer-citrix-netscaler-zscaler-private-access-100-fmd-bank-julius-baer-co-ltd","Remote Access Engineer (Citrix NetScaler & Zscaler Private Access) 100% (f\u002Fm\u002Fd)",{"name":596,"slug":597,"logo_url":11},"Bank Julius Baer & Co. Ltd.","bank-julius-baer-co-ltd",[599],"Zürich",[601],"CH",140000,"CHF",[27],{"bash":31,"python":31,"rest apis":31,"powershell":31,"active directory":31,"citrix nitro api":31,"secure mail gateway":31,"citrix netscaler adc":30,"citrix netscaler gateway":30,"zscaler private access (zpa)":31,"microsoft entra id (azure ad)":31,"public key infrastructure (pki)":31,"multi-factor authentication (mfa)":31,"privileged access management (pam)":31},[607,608,609,610,36,611,612,613,614,615,616,617,618,619],"Citrix NetScaler ADC","Citrix NetScaler Gateway","Zscaler Private Access (ZPA)","PowerShell","Bash","REST APIs","Citrix Nitro API","Microsoft Entra ID (Azure AD)","Active Directory","Multi-Factor Authentication (MFA)","Public Key Infrastructure (PKI)","Secure Mail Gateway","Privileged Access Management (PAM)",{"ssl-vpn":30,"it security":30,"on-call support":30,"change management":30,"endpoint security":30,"identity management":30,"incident management":30,"secure remote access":30,"regulatory compliance":30,"infrastructure engineering":30,"authentication technologies":30,"financial services experience":30,"high availability deployments":30,"zero trust network access (ztna)":31},[622,623,624,625,626,627,628,629,630,631,383,632,633,634],"IT Security","Infrastructure Engineering","Secure Remote Access","Identity Management","Authentication Technologies","Endpoint Security","Zero Trust Network Access (ZTNA)","SSL-VPN","High Availability Deployments","Change Management","Incident Management","On-call Support","Financial Services Experience",{"id":636,"slug":637,"title":638,"raw_title":11,"is_featured":12,"company":639,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":642,"processed_country_iso_code_gmaps":644,"processed_home_office":63,"processed_salary_min":645,"processed_salary_max":646,"processed_salary_currency":263,"processed_salary_source":25,"processed_working_hours":647,"processed_employment_types":28,"processed_it_skills":648,"processed_it_skills_labels":649,"processed_job_expertise_skills":655,"processed_job_expertise_skills_labels":656,"max_cpc":51,"actual_cpc":51},95038,"principal-network-engineer-refinitiv-us-llc","Principal Network Engineer",{"name":640,"slug":641,"logo_url":11},"Refinitiv US LLC","refinitiv-us-llc",[643],"Creve Coeur",[261],120000,160000,[27],{"sdn":31,"vxlan":31,"python":31,"ansible":31,"cisco aci":31,"packet capture tools":31,"packet analysis tools":31},[36,38,650,651,652,653,654],"Cisco ACI","VxLAN","SDN","Packet analysis tools","Packet Capture tools",{"bgp":30,"gre":30,"lan":30,"nat":30,"vpn":30,"wan":30,"hsrp":30,"itil":31,"mpls":30,"ospf":30,"tcp\u002Fip":31,"documentation":31,"network security":31,"data centre networking":31,"low-latency technologies":31,"network capacity planning":31,"load balancing technologies":31,"network upgrades coordination":31,"system performance monitoring":31,"routing and switching protocols":30,"multicast concepts (igmp, rp, pim)":31},[657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677],"Routing and switching protocols","LAN","WAN","HSRP","NAT","MPLS","VPN","GRE","BGP","OSPF","Multicast concepts (IGMP, RP, PIM)","Low-latency technologies","Data Centre Networking","Network security","Load balancing technologies","TCP\u002FIP","ITIL","Network capacity planning","Network upgrades coordination","Documentation","System performance monitoring",{"id":679,"slug":680,"title":681,"raw_title":11,"is_featured":12,"company":682,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":685,"processed_country_iso_code_gmaps":686,"processed_home_office":63,"processed_salary_min":303,"processed_salary_max":687,"processed_salary_currency":66,"processed_salary_source":25,"processed_working_hours":688,"processed_employment_types":28,"processed_it_skills":689,"processed_it_skills_labels":690,"processed_job_expertise_skills":702,"processed_job_expertise_skills_labels":703,"max_cpc":51,"actual_cpc":51},88253,"senior-associate-ai-ml-engineer-tiaa-global-capabilities-private-limited","Senior Associate - AI - ML Engineer",{"name":683,"slug":684,"logo_url":11},"TIAA Global Capabilities Private Limited","tiaa-global-capabilities-private-limited",[301],[62],5000000,[27],{"aws":31,"gcp":31,"azure":31,"faiss":30,"mlflow":31,"python":30,"flowise":31,"pinecone":30,"weaviate":30,"langchain":30,"llamaindex":30,"openai api":30,"hugging face":30,"anthropic api":30,"weights & biases":31,"microsoft copilot studio":31},[36,446,691,692,693,694,695,696,697,195,196,197,698,699,700,701],"LlamaIndex","OpenAI API","Anthropic API","Hugging Face","Pinecone","Weaviate","FAISS","MLflow","Weights & Biases","Microsoft Copilot Studio","Flowise",{"mlops":31,"statistics":31,"data science":31,"generative ai":30,"multi-modal ai":31,"responsible ai":31,"llm fine-tuning":30,"machine learning":30,"model evaluation":30,"data preprocessing":31,"prompt engineering":30,"ai agent deployment":30,"predictive modeling":31,"observability and monitoring":30,"retrieval-augmented generation (rag)":30},[463,704,466,705,706,707,708,709,468,458,710,711,570,712,574],"Retrieval-Augmented Generation (RAG)","LLM Fine-tuning","Model Evaluation","Observability and Monitoring","AI Agent Deployment","Multi-modal AI","Data Preprocessing","Data Science","Predictive Modeling",{"id":714,"slug":715,"title":716,"raw_title":11,"is_featured":12,"company":717,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":720,"processed_country_iso_code_gmaps":722,"processed_home_office":63,"processed_salary_min":485,"processed_salary_max":22,"processed_salary_currency":263,"processed_salary_source":25,"processed_working_hours":723,"processed_employment_types":724,"processed_it_skills":725,"processed_it_skills_labels":726,"processed_job_expertise_skills":729,"processed_job_expertise_skills_labels":730,"max_cpc":51,"actual_cpc":732},80436,"business-intelligence-engineering-intern-summer-2027-auto-owners-insurance-company","Business Intelligence Engineering Intern - Summer 2027",{"name":718,"slug":719,"logo_url":11},"Auto-Owners Insurance Company","auto-owners-insurance-company",[721],"Lansing",[261],[27],"student",{"sql":31,"python":139,"etl tools":139,"data visualization tools":139},[36,132,727,728],"Data Visualization Tools","ETL Tools",{"data analysis":31,"data modeling":139,"data governance":139,"agile methodology":139,"project management":139,"statistical analysis":31,"data quality management":31,"business requirements gathering":31},[142,141,249,250,248,289,234,731],"Business Requirements Gathering",0.5,{"total":734,"jobs":735},0,[],{"industry":737,"employment_type":824,"expertise_skills":839,"it_skills":915,"salary_currency":994,"processed_working_hours":1062},[738,742,746,750,754,758,762,766,770,774,778,782,785,789,792,796,798,801,805,809,812,815,818,821],{"key":739,"label":740,"count":741},"financial services","Financial Services",938,{"key":743,"label":744,"count":745},"insurance","Insurance",550,{"key":747,"label":748,"count":749},"banking","Banking",490,{"key":751,"label":752,"count":753},"financial markets infrastructure","Financial Markets Infrastructure",240,{"key":755,"label":756,"count":757},"data","Data",139,{"key":759,"label":760,"count":761},"data provider","Data Provider",107,{"key":763,"label":764,"count":765},"asset management","Asset Management",106,{"key":767,"label":768,"count":769},"financial technology","Financial Technology",33,{"key":771,"label":772,"count":773},"wealth management","Wealth Management",22,{"key":775,"label":776,"count":777},"digital banking","Digital Banking",15,{"key":779,"label":780,"count":781},"property","Property",11,{"key":783,"label":784,"count":781},"casualty insurance","Casualty Insurance",{"key":786,"label":787,"count":788},"reinsurance","Reinsurance",10,{"key":790,"label":791,"count":788},"alternative investments","Alternative Investments",{"key":793,"label":794,"count":795},"financial advisory","Financial Advisory",9,{"key":797,"label":361,"count":795},"risk management",{"key":799,"label":800,"count":795},"financial market infrastructure","Financial Market Infrastructure",{"key":802,"label":803,"count":804},"technology solutions","Technology Solutions",7,{"key":806,"label":807,"count":808},"alternative asset management","Alternative Asset Management",5,{"key":810,"label":811,"count":30},"claims management","Claims Management",{"key":813,"label":814,"count":30},"private banking","Private Banking",{"key":816,"label":817,"count":31},"private equity","Private Equity",{"key":819,"label":820,"count":31},"vehicle leasing","Vehicle Leasing",{"key":822,"label":823,"count":31},"fleet management","Fleet Management",[825,828,831,835],{"key":28,"label":826,"count":827},"PERMANENT",1900,{"key":724,"label":829,"count":830},"STUDENT",119,{"key":832,"label":833,"count":834},"temporary","TEMPORARY",29,{"key":836,"label":837,"count":838},"contract","CONTRACT",16,[840,843,846,849,853,856,859,863,866,869,873,876,878,880,883,886,890,893,897,900,903,906,909,912],{"key":841,"label":142,"slug":841,"count":842},"data-analysis",345,{"key":844,"label":361,"slug":844,"count":845},"risk-management",327,{"key":847,"label":249,"slug":847,"count":848},"data-governance",223,{"key":850,"label":851,"slug":850,"count":852},"project-management","Project management",210,{"key":854,"label":570,"slug":854,"count":855},"machine-learning",203,{"key":857,"label":383,"slug":857,"count":858},"regulatory-compliance",200,{"key":860,"label":861,"slug":860,"count":862},"automation","Automation",199,{"key":864,"label":238,"slug":864,"count":865},"data-engineering",161,{"key":867,"label":512,"slug":867,"count":868},"root-cause-analysis",141,{"key":870,"label":871,"slug":870,"count":872},"devops","Devops",134,{"key":874,"label":632,"slug":874,"count":875},"incident-management",132,{"key":877,"label":385,"slug":877,"count":875},"process-improvement",{"key":879,"label":470,"slug":879,"count":875},"agile-methodologies",{"key":881,"label":234,"slug":881,"count":882},"data-modeling",129,{"key":884,"label":135,"slug":884,"count":885},"data-visualization",128,{"key":887,"label":888,"slug":887,"count":889},"software-engineering","Software Engineering",123,{"key":891,"label":587,"slug":891,"count":892},"compliance",121,{"key":894,"label":895,"slug":894,"count":896},"observability","Observability",112,{"key":898,"label":711,"slug":898,"count":899},"data-science",101,{"key":901,"label":631,"slug":901,"count":902},"change-management",98,{"key":904,"label":149,"slug":904,"count":905},"business-intelligence",94,{"key":907,"label":908,"slug":907,"count":905},"portfolio-management","Portfolio Management",{"key":910,"label":911,"slug":910,"count":905},"model-validation","Model Validation",{"key":913,"label":247,"slug":913,"count":914},"stakeholder-management",93,[916,918,921,925,929,933,936,940,944,947,950,953,956,959,962,966,970,974,978,981,982,984,986,990],{"key":917,"label":36,"slug":917,"count":5},"python",{"key":919,"label":132,"slug":919,"count":920},"sql",1141,{"key":922,"label":923,"slug":922,"count":924},"aws","Aws",427,{"key":926,"label":927,"slug":926,"count":928},"ms-excel","MS Excel",409,{"key":930,"label":931,"slug":930,"count":932},"cicd","Ci\u002FCd",377,{"key":934,"label":70,"slug":934,"count":935},"java",355,{"key":937,"label":938,"slug":937,"count":939},"ms-powerbi","MS PowerBI",328,{"key":941,"label":942,"slug":941,"count":943},"ms-azure","MS Azure",320,{"key":945,"label":311,"slug":945,"count":946},"kubernetes",291,{"key":948,"label":376,"slug":948,"count":949},"r",288,{"key":951,"label":490,"slug":951,"count":952},"git",265,{"key":954,"label":354,"slug":954,"count":955},"terraform",250,{"key":957,"label":310,"slug":957,"count":958},"docker",231,{"key":960,"label":232,"slug":960,"count":961},"tableau",191,{"key":963,"label":964,"slug":963,"count":965},"powershell","Powershell",179,{"key":967,"label":968,"slug":967,"count":969},"sas","Sas",159,{"key":971,"label":972,"slug":971,"count":973},"javascript","Javascript",146,{"key":975,"label":976,"slug":975,"count":977},"vba","Vba",144,{"key":979,"label":84,"slug":979,"count":980},"jenkins",140,{"key":854,"label":570,"slug":854,"count":757},{"key":983,"label":33,"slug":983,"count":757},"linux",{"key":985,"label":199,"slug":985,"count":757},"snowflake",{"key":987,"label":988,"slug":987,"count":989},"c","C#",138,{"key":991,"label":992,"slug":991,"count":993},"gcp","Gcp",133,[995,997,999,1001,1003,1006,1008,1011,1014,1016,1017,1018,1021,1024,1026,1028,1030,1033,1035,1038,1040,1042,1044,1046,1048,1050,1052,1054,1056,1058,1060],{"key":263,"label":263,"count":996},704,{"key":24,"label":24,"count":998},342,{"key":66,"label":66,"count":1000},229,{"key":128,"label":128,"count":1002},173,{"key":1004,"label":1004,"count":1005},"SGD",153,{"key":1007,"label":1007,"count":973},"GBP",{"key":1009,"label":1009,"count":1010},"MYR",85,{"key":1012,"label":1012,"count":1013},"PHP",52,{"key":224,"label":224,"count":1015},37,{"key":165,"label":165,"count":769},{"key":603,"label":603,"count":834},{"key":1019,"label":1019,"count":1020},"MXN",18,{"key":1022,"label":1022,"count":1023},"BRL",14,{"key":1025,"label":1025,"count":781},"THB",{"key":1027,"label":1027,"count":795},"AUD",{"key":1029,"label":1029,"count":795},"VND",{"key":1031,"label":1031,"count":1032},"CNY",8,{"key":1034,"label":1034,"count":1032},"TRY",{"key":1036,"label":1036,"count":1037},"PEN",6,{"key":1039,"label":1039,"count":808},"TWD",{"key":1041,"label":1041,"count":808},"LKR",{"key":1043,"label":1043,"count":808},"JPY",{"key":1045,"label":1045,"count":30},"HUF",{"key":1047,"label":1047,"count":30},"COP",{"key":1049,"label":1049,"count":31},"RON",{"key":1051,"label":1051,"count":139},"IDR",{"key":1053,"label":1053,"count":51},"MZN",{"key":1055,"label":1055,"count":51},"VES",{"key":1057,"label":1057,"count":51},"CLP",{"key":1059,"label":1059,"count":51},"KRW",{"key":1061,"label":1061,"count":51},"CZK",[1063,1065],{"key":27,"label":27,"count":1064},2078,{"key":1066,"label":1066,"count":1067},"PART_TIME",38]