[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-production-operations-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fproduction-operations":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fproduction-operations":701,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fproduction-operations":846},{},{"total":5,"jobs":6},16,[7,91,123,210,246,304,315,340,372,415,445,474,531,600,626,660],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":31,"processed_job_expertise_skills":72,"processed_job_expertise_skills_labels":73,"max_cpc":90,"actual_cpc":90},81423,"senior-platform-engineer-ai-fabrics-bank-of-montreal","Senior Platform Engineer, AI & Fabrics",null,false,{"name":14,"slug":15,"logo_url":11},"Bank of Montreal","bank-of-montreal",[17],"Toronto",[19],"CA","hybrid",70000,150000,"USD","estimated",[26],"FULL_TIME","permanent",{"go":29,"arm":29,"aws":29,"git":29,"opa":29,"rag":29,"java":30,"jira":29,"mtls":29,"oidc":29,"rego":29,"azure":29,"cedar":29,"ci\u002Fcd":29,"oauth":29,"spire":29,"github":29,"gitops":29,"mlflow":29,"python":29,"spiffe":29,"splunk":29,"bedrock":29,"bitbucket":29,"devsecops":29,"dynatrace":29,"langchain":29,"sagemaker":29,"terraform":29,"confluence":29,"embeddings":29,"guardrails":29,"kubernetes":29,"llamaindex":29,"typescript":30,"api gateway":29,"llm routing":29,"azure openai":29,"opentelemetry":29,"cloudformation":29},4,3,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71],"Python","Go","TypeScript","Java","AWS","Azure","Kubernetes","Terraform","CloudFormation","ARM","CI\u002FCD","GitOps","DevSecOps","Git","Bitbucket","GitHub","Jira","Confluence","Cedar","OPA","Rego","SPIFFE","SPIRE","mTLS","OAuth","OIDC","OpenTelemetry","Dynatrace","Splunk","API Gateway","LLM Routing","RAG","Embeddings","Guardrails","Bedrock","Azure OpenAI","SageMaker","MLflow","LangChain","LlamaIndex",{"iam":29,"audit":29,"on-call":29,"api design":29,"ai governance":29,"observability":29,"cloud security":29,"policy as code":29,"responsible ai":29,"incident response":29,"workload identity":29,"distributed systems":29,"platform engineering":29,"production operations":29,"genai platform patterns":29,"regulated industry experience":29},[74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89],"Platform Engineering","Distributed Systems","API Design","Production Operations","Incident Response","On-call","Regulated Industry Experience","AI Governance","Responsible AI","Cloud Security","IAM","Policy as Code","Workload Identity","Observability","Audit","GenAI Platform Patterns",1,{"id":92,"slug":93,"title":94,"raw_title":11,"is_featured":12,"company":95,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":98,"processed_country_iso_code_gmaps":100,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":102,"processed_salary_currency":103,"processed_salary_source":24,"processed_working_hours":104,"processed_employment_types":27,"processed_it_skills":106,"processed_it_skills_labels":107,"processed_job_expertise_skills":109,"processed_job_expertise_skills_labels":110,"max_cpc":90,"actual_cpc":90},82792,"technology-risk-compliance-and-governance-officer-fmx-core-trading-technology-0010-deutsche-bank-aktiengesellschaft","Technology Risk, Compliance, and Governance Officer (f\u002Fm\u002Fx) - Core Trading Technology",{"name":96,"slug":97,"logo_url":11},"0010 Deutsche Bank Aktiengesellschaft","0010-deutsche-bank-aktiengesellschaft",[99],"Berlin",[101],"DE",100000,"EUR",[26,105],"PART_TIME",{"ai tools":30},[108],"AI Tools",{"audit remediation":29,"information security":29,"operational controls":29,"software development":30,"production operations":30,"regulatory compliance":29,"technology governance":29,"operational resilience":29,"application architecture":30,"vulnerability management":29,"technology risk management":29,"infrastructure environments":30,"identity and access management":29},[111,112,113,114,115,116,117,77,118,119,120,121,122],"Technology Risk Management","Information Security","Audit Remediation","Technology Governance","Operational Controls","Software Development","Application Architecture","Infrastructure Environments","Vulnerability Management","Identity and Access Management","Operational Resilience","Regulatory Compliance",{"id":124,"slug":125,"title":126,"raw_title":11,"is_featured":12,"company":127,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":130,"processed_country_iso_code_gmaps":132,"processed_home_office":20,"processed_salary_min":134,"processed_salary_max":135,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":136,"processed_employment_types":27,"processed_it_skills":137,"processed_it_skills_labels":138,"processed_job_expertise_skills":192,"processed_job_expertise_skills_labels":193,"max_cpc":90,"actual_cpc":90},83760,"sr-staff-software-engineer-ai-agent-platform-government-employees-insurance-company","Sr. Staff Software Engineer, AI Agent Platform",{"name":128,"slug":129,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[131],"New York",[133],"US",130000,300000,[26],{"go":29,"aws":30,"llm":30,"mcp":30,"rag":30,"clis":30,"dbos":30,"java":29,"sdks":30,"slos":29,"azure":30,"ci\u002Fcd":29,"genai":30,"kafka":30,"vespa":30,"python":29,"datadog":30,"grafana":30,"on-call":29,"portals":30,"restate":30,"langfuse":30,"temporal":30,"game days":30,"langgraph":30,"langsmith":30,"api design":29,"braintrust":30,"kubernetes":29,"opensearch":30,"prometheus":30,"sandboxing":30,"concurrency":29,"postmortems":29,"scalability":29,"arize phoenix":30,"data modeling":29,"error budgets":30,"observability":29,"opentelemetry":30,"feature stores":30,"azure ai search":30,"fault tolerance":29,"claude agent sdk":30,"event processing":30,"knowledge graphs":30,"prompt injection":30,"agentic workflows":30,"capacity planning":29,"chaos engineering":30,"durable execution":30,"incident response":29,"openai agents sdk":30,"aws step functions":30,"azure durable task":30,"performance tuning":29,"distributed systems":29,"streaming ingestion":30,"evaluation frameworks":30,"multi-tenant services":30,"supply chain security":30,"workflow orchestration":30,"monitoring and alerting":29,"amazon bedrock agentcore":30,"microsoft agent framework":30,"event-driven architectures":30,"microsoft foundry agent service":30},[32,35,33,38,42,75,76,139,140,141,142,87,143,79,78,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,58,161,162,163,164,165,166,167,37,36,168,169,170,63,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191],"Data Modeling","Concurrency","Fault Tolerance","Scalability","Monitoring and Alerting","Postmortems","SLOs","Capacity Planning","Performance Tuning","Temporal","Restate","DBOS","Azure Durable Task","AWS Step Functions","Kafka","LangGraph","Microsoft Agent Framework","OpenAI Agents SDK","Claude Agent SDK","Azure AI Search","OpenSearch","Vespa","Prometheus","Grafana","Datadog","Langfuse","LangSmith","Braintrust","Arize Phoenix","Microsoft Foundry Agent Service","Amazon Bedrock AgentCore","MCP","LLM","GenAI","Agentic Workflows","Durable Execution","Workflow Orchestration","Event-driven Architectures","Multi-tenant Services","SDKs","CLIs","Portals","Streaming Ingestion","Event Processing","Knowledge Graphs","Feature Stores","Evaluation Frameworks","Prompt Injection","Sandboxing","Supply Chain Security","Error Budgets","Chaos Engineering","Game Days",{"ai\u002Fml":30,"tech lead":29,"governance":30,"ai security":30,"rag systems":30,"architecture":29,"sre practices":30,"system design":29,"data pipelines":30,"cloud platforms":30,"agentic harnesses":30,"analytics systems":30,"genai applications":30,"backend engineering":29,"software engineering":29,"evaluation frameworks":30,"production operations":29,"reliability engineering":29},[194,195,196,197,198,77,199,200,201,202,203,204,205,185,206,207,208,209],"Software Engineering","Backend Engineering","Tech Lead","System Design","Architecture","Reliability Engineering","AI\u002FML","GenAI Applications","Agentic Harnesses","RAG Systems","Data Pipelines","Analytics Systems","SRE Practices","Cloud Platforms","AI Security","Governance",{"id":211,"slug":212,"title":213,"raw_title":11,"is_featured":12,"company":214,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":217,"processed_country_iso_code_gmaps":218,"processed_home_office":20,"processed_salary_min":219,"processed_salary_max":220,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":221,"processed_employment_types":27,"processed_it_skills":222,"processed_it_skills_labels":223,"processed_job_expertise_skills":231,"processed_job_expertise_skills_labels":232,"max_cpc":90,"actual_cpc":90},83929,"engineering-manager-data-platform-ai-engineering-hybrid-securian-financial-group","Engineering Manager - Data Platform & AI Engineering (Hybrid)",{"name":215,"slug":216,"logo_url":11},"Securian Financial Group","securian-financial-group",[],[],110200,203500,[26],{"ci\u002Fcd":29,"devops":29,"reltio":30,"snowflake":30,"automation":29,"informatica":30,"ai\u002Fml platforms":30,"cloud platforms":29,"modern data ecosystems":30},[207,224,42,225,226,227,228,229,230],"DevOps","Automation","Informatica","Reltio","Snowflake","AI\u002FML Platforms","Modern Data Ecosystems",{"agile":30,"scrum":30,"ai engineering":29,"data engineering":29,"capacity planning":29,"cloud engineering":29,"incident response":29,"people leadership":29,"vendor management":29,"delivery management":29,"operational support":29,"platform engineering":29,"software engineering":29,"production operations":29,"workforce development":29,"engineering governance":29,"platform modernization":29,"product-based delivery":30},[194,233,74,234,235,236,237,238,78,146,239,240,241,242,77,243,244,245],"Data Engineering","Cloud Engineering","AI Engineering","People Leadership","Delivery Management","Operational Support","Workforce Development","Vendor Management","Platform Modernization","Engineering Governance","Agile","Scrum","Product-Based Delivery",{"id":247,"slug":248,"title":249,"raw_title":11,"is_featured":12,"company":250,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":253,"processed_country_iso_code_gmaps":255,"processed_home_office":20,"processed_salary_min":257,"processed_salary_max":258,"processed_salary_currency":259,"processed_salary_source":24,"processed_working_hours":260,"processed_employment_types":27,"processed_it_skills":261,"processed_it_skills_labels":262,"processed_job_expertise_skills":290,"processed_job_expertise_skills_labels":291,"max_cpc":90,"actual_cpc":90},83104,"lead-engineer-vp-f337-deutsche-india-private-limited-pune-branch-2","Lead Engineer, VP",{"name":251,"slug":252,"logo_url":11},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[254],"Pune",[256],"IN",4000000,6000000,"INR",[26],{"aws":30,"bdd":29,"gcp":29,"jms":30,"sre":30,"tdd":29,"xml":29,"java":29,"json":29,"yaml":29,"azure":30,"kafka":29,"hadoop":30,"ibm mq":30,"oracle":29,"pl\u002Fsql":29,"mongodb":30,"parquet":29,"pub-sub":29,"ai tools":30,"rabbitmq":30,"rest api":29,"data mesh":30,"openshift":29,"kubernetes":29,"spring boot":29,"apache spark":30,"microservices":29,"stress testing":29,"ci\u002Fcd pipelines":29,"contract testing":29,"integration patterns":29},[35,263,264,265,266,267,268,269,270,38,271,272,273,274,153,275,276,36,37,277,278,279,280,281,282,283,284,285,286,287,288,289],"Spring Boot","REST API","Oracle","PL\u002FSQL","Apache Spark","Hadoop","MongoDB","CI\u002FCD pipelines","OpenShift","RabbitMQ","IBM MQ","JMS","Pub-sub","GCP","Microservices","Data mesh","Integration patterns","SRE","TDD","BDD","Stress Testing","Contract Testing","JSON","XML","YAML","Parquet","AI tools",{"api design":29,"data formats":29,"design patterns":29,"change management":30,"big data processing":30,"incident management":30,"ai productivity tools":30,"production operations":30,"full stack development":29,"distributed architecture":29,"cloud native architecture":29,"large-scale system design":29,"multi-tiered architecture":29},[292,293,294,295,296,297,298,299,77,300,301,302,303],"Full stack development","Cloud Native Architecture","Design Patterns","Big data processing","Distributed architecture","Multi-tiered architecture","Change Management","Incident Management","Large-scale system design","API design","Data formats","AI productivity tools",{"id":305,"slug":306,"title":249,"raw_title":11,"is_featured":12,"company":307,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":308,"processed_country_iso_code_gmaps":309,"processed_home_office":20,"processed_salary_min":257,"processed_salary_max":258,"processed_salary_currency":259,"processed_salary_source":24,"processed_working_hours":310,"processed_employment_types":27,"processed_it_skills":311,"processed_it_skills_labels":312,"processed_job_expertise_skills":313,"processed_job_expertise_skills_labels":314,"max_cpc":90,"actual_cpc":90},83103,"lead-engineer-vp-f337-deutsche-india-private-limited-pune-branch",{"name":251,"slug":252,"logo_url":11},[254],[256],[26],{"aws":30,"bdd":29,"gcp":29,"jms":30,"sre":30,"tdd":29,"xml":29,"java":29,"json":29,"yaml":29,"azure":30,"kafka":29,"hadoop":30,"ibm mq":30,"oracle":29,"pl\u002Fsql":29,"mongodb":30,"parquet":30,"pub-sub":29,"ai tools":30,"rabbitmq":30,"rest api":29,"data mesh":30,"openshift":29,"kubernetes":29,"spring boot":29,"apache spark":30,"microservices":29,"stress testing":30,"ci\u002Fcd pipelines":29,"contract testing":30,"integration patterns":29},[35,263,264,265,266,267,268,269,270,38,271,272,273,274,153,275,276,36,37,277,278,279,280,281,282,283,284,285,286,287,288,289],{"api design":29,"data formats":29,"design patterns":29,"change management":30,"big data processing":30,"incident management":30,"production operations":30,"full stack development":29,"distributed architecture":29,"cloud native architecture":29,"large-scale system design":29,"multi-tiered architecture":29},[292,293,294,295,296,297,298,299,77,300,301,302],{"id":316,"slug":317,"title":318,"raw_title":11,"is_featured":12,"company":319,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":323,"processed_country_iso_code_gmaps":325,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":326,"processed_salary_currency":103,"processed_salary_source":24,"processed_working_hours":327,"processed_employment_types":27,"processed_it_skills":328,"processed_it_skills_labels":329,"processed_job_expertise_skills":332,"processed_job_expertise_skills_labels":333,"max_cpc":90,"actual_cpc":90},79805,"devsecops-engineer-mwd-rv-versicherung","DevSecOps Engineer (m\u002Fw\u002Fd)",{"name":320,"slug":321,"logo_url":322},"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",[324],"Wiesbaden",[101],90000,[26],{"java":29,"data modeling":29,"database access":29,"relational databases":29},[35,330,139,331],"Relational Databases","Database Access",{"testing":29,"devsecops":29,"deployment":29,"development":29,"software development":29,"technical conception":29,"production operations":29,"requirements analysis":29,"end-to-end responsibility":29},[116,44,334,335,336,337,338,339,77],"End-to-End Responsibility","Requirements Analysis","Technical Conception","Development","Testing","Deployment",{"id":341,"slug":342,"title":343,"raw_title":11,"is_featured":12,"company":344,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":347,"processed_country_iso_code_gmaps":349,"processed_home_office":350,"processed_salary_min":351,"processed_salary_max":352,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":353,"processed_employment_types":27,"processed_it_skills":354,"processed_it_skills_labels":355,"processed_job_expertise_skills":363,"processed_job_expertise_skills_labels":364,"max_cpc":90,"actual_cpc":90},75614,"head-of-payments-technology-manufacturers-and-traders-trust-co","Head of Payments Technology",{"name":345,"slug":346,"logo_url":11},"Manufacturers and Traders Trust Co","manufacturers-and-traders-trust-co",[348],"Buffalo",[133],"onsite",201200,335300,[26],{"api":29,"azure":30,"devsecops":29,"automation":29,"cybersecurity":29,"generative ai":29,"observability":29,"cloud computing":29,"continuous delivery":29,"distributed systems":29,"artificial intelligence":29,"event-driven architecture":29},[356,357,75,358,44,225,87,359,360,361,37,362],"Cloud Computing","API","Event-Driven Architecture","Continuous Delivery","Artificial Intelligence","Generative AI","Cybersecurity",{"architecture":29,"risk management":29,"vendor management":29,"program leadership":29,"payments technology":29,"financial management":29,"production operations":29,"regulatory compliance":29,"engineering leadership":29,"operational resilience":29,"platform modernization":29,"technology transformation":29,"enterprise technology strategy":29},[365,366,367,241,122,368,121,240,369,370,198,77,371],"Payments Technology","Enterprise Technology Strategy","Engineering Leadership","Risk Management","Financial Management","Program Leadership","Technology Transformation",{"id":373,"slug":374,"title":375,"raw_title":11,"is_featured":12,"company":376,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":377,"processed_country_iso_code_gmaps":379,"processed_home_office":20,"processed_salary_min":380,"processed_salary_max":381,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":382,"processed_employment_types":27,"processed_it_skills":383,"processed_it_skills_labels":384,"processed_job_expertise_skills":404,"processed_job_expertise_skills_labels":405,"max_cpc":90,"actual_cpc":90},83771,"distinguished-engineer-ai-applications-government-employees-insurance-company","Distinguished Engineer, AI Applications",{"name":128,"slug":129,"logo_url":11},[378],"Palo Alto",[133],210000,350000,[26],{"aws":29,"rag":29,"ray":29,"sql":30,"llms":29,"azure":29,"ci\u002Fcd":29,"kafka":29,"spark":29,"milvus":29,"python":29,"qdrant":29,"airflow":29,"prefect":29,"pinecone":29,"temporal":29,"weaviate":29,"langchain":29,"langsmith":29,"snowflake":29,"kubernetes":29,"llamaindex":29,"arize phoenix":29,"elasticsearch":29,"generative ai":29,"opentelemetry":29,"feature stores":29,"nosql databases":29,"vector databases":29,"weights & biases":29,"agentic frameworks":29,"embedding pipelines":29,"multi-agent systems":29,"relational databases":29},[32,385,386,387,388,389,390,228,391,153,392,393,394,148,395,70,71,165,167,396,58,42,38,36,37,397,361,63,398,399,400,401,402,403],"SQL","Elasticsearch","Qdrant","Milvus","Pinecone","Weaviate","NoSQL databases","Spark","Ray","Airflow","Prefect","Weights & Biases","LLMs","Agentic frameworks","Multi-agent systems","Vector databases","Embedding pipelines","Feature stores","Relational databases",{"roadmapping":29,"system design":29,"technical strategy":29,"production operations":29,"technology evaluation":29,"build vs. buy analysis":29,"enterprise architecture":29,"business impact assessment":29,"ai\u002Fml platform architecture":29,"software development lifecycle":29,"generative ai application development":29},[406,407,408,409,197,410,411,77,412,413,414],"Enterprise Architecture","AI\u002FML Platform Architecture","Generative AI Application Development","Technical Strategy","Technology Evaluation","Software Development Lifecycle","Build vs. Buy Analysis","Roadmapping","Business Impact Assessment",{"id":416,"slug":417,"title":418,"raw_title":11,"is_featured":12,"company":419,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":422,"processed_country_iso_code_gmaps":424,"processed_home_office":350,"processed_salary_min":257,"processed_salary_max":258,"processed_salary_currency":259,"processed_salary_source":24,"processed_working_hours":425,"processed_employment_types":27,"processed_it_skills":426,"processed_it_skills_labels":427,"processed_job_expertise_skills":433,"processed_job_expertise_skills_labels":434,"max_cpc":90,"actual_cpc":90},59659,"manager-site-reliability-engineering-ind201-refinitiv-india-shared-services-private-limited-2","Manager, Site Reliability Engineering",{"name":420,"slug":421,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[423],"Bengaluru",[256],[26],{"aws":29,"ci\u002Fcd":29,"docker":29,"datadog":30,"jenkins":30,"bigpanda":30,"snowflake":30,"terraform":29,"kubernetes":29,"observability":29,"opentelemetry":30,"github actions":30,"incident management":29,"infrastructure as code":29},[36,38,428,39,429,430,163,431,58,42,432,87,299,228],"Docker","GitHub Actions","Jenkins","BigPanda","Infrastructure as Code",{"itil":30,"devops":29,"iso 27001":30,"cost optimization":30,"disaster recovery":29,"people management":29,"financial services":30,"cloud native services":29,"production operations":29,"cloud financial management":30,"business continuity planning":29,"site reliability engineering":29},[435,77,224,436,437,438,439,440,441,442,443,444],"Site Reliability Engineering","People Management","Cloud Native Services","Disaster Recovery","Business Continuity Planning","ITIL","ISO 27001","Cost Optimization","Cloud Financial Management","Financial Services",{"id":446,"slug":447,"title":448,"raw_title":11,"is_featured":12,"company":449,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":450,"processed_country_iso_code_gmaps":451,"processed_home_office":350,"processed_salary_min":452,"processed_salary_max":453,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":454,"processed_employment_types":27,"processed_it_skills":455,"processed_it_skills_labels":456,"processed_job_expertise_skills":467,"processed_job_expertise_skills_labels":468,"max_cpc":90,"actual_cpc":90},54694,"production-operations-sto-corpfinfcu-amp-engineering-bank-of-montreal","Production Operations STO (CorpFinFCU & Engineering)",{"name":14,"slug":15,"logo_url":11},[17],[19],94600,176000,[26],{"dns":29,"dhcp":29,"aiops":29,"linux":29,"agentic ai":29,"automation":29,"observability":29,"virtualization":29,"windows server":29,"cloud platforms":29,"active directory":29,"containerization":29,"monitoring tools":29},[457,458,459,460,461,462,463,464,87,225,465,466,207],"Windows Server","Linux","Virtualization","Containerization","Active Directory","DNS","DHCP","Monitoring Tools","AIOps","Agentic AI",{"budgeting":30,"risk management":29,"project management":29,"incident management":29,"root cause analysis":29,"production operations":29,"operational governance":29,"service level agreements":29,"site reliability engineering":29},[77,435,299,469,470,471,368,472,473],"Root Cause Analysis","Service Level Agreements","Operational Governance","Project Management","Budgeting",{"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":482,"processed_home_office":350,"processed_salary_min":483,"processed_salary_max":484,"processed_salary_currency":485,"processed_salary_source":24,"processed_working_hours":486,"processed_employment_types":27,"processed_it_skills":487,"processed_it_skills_labels":488,"processed_job_expertise_skills":513,"processed_job_expertise_skills_labels":514,"max_cpc":90,"actual_cpc":90},66818,"senior-manager-tokenized-deposits-on-chain-orchestration-integration-layer-delivery-the-toronto-dominion-bank-canada","Senior Manager, Tokenized Deposits On-Chain Orchestration \u002F Integration Layer Delivery",{"name":479,"slug":480,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[17],[19],165000,200000,"CAD",[26],{"mq":30,"evm":29,"java":29,"rust":30,"saga":29,"agile":29,"azure":30,"batch":30,"kafka":29,"vyper":30,"erc-20":29,"spring":29,"echidna":30,"erc-721":30,"foundry":30,"mythril":30,"slither":30,"dell vmc":30,"erc-1155":30,"erc-4626":30,"solidity":29,"iso 20022":29,"json-rpc 2.0":29,"openzeppelin":30,"restful apis":29,"hyperledger besu":29,"ai-assisted development":30,"system reliability engineering":29},[35,489,490,491,492,493,494,495,153,496,37,497,498,499,500,501,502,503,504,505,506,507,508,509,510,511,243,512],"Spring","Solidity","Rust","Vyper","JSON-RPC 2.0","RESTful APIs","MQ","Batch","Dell VMC","OpenZeppelin","Slither","Mythril","Echidna","Foundry","Hyperledger Besu","EVM","ERC-20","ERC-721","ERC-1155","ERC-4626","ISO 20022","SAGA","System Reliability Engineering","AI-assisted development",{"hsm":29,"defi":29,"blockchain":29,"cryptography":29,"tokenization":29,"cloud platforms":29,"payments systems":29,"product strategy":29,"technical design":29,"vendor management":29,"roadmap development":29,"production operations":29,"key management systems":29,"multi-party computation":29,"smart contract development":29,"system integration patterns":29,"24\u002F7 mission critical systems":29,"agile development methodologies":29,"workflow-based software solutions":29},[515,516,517,518,519,520,521,522,240,523,524,525,77,526,527,528,529,530,207],"Blockchain","Tokenization","DeFi","Smart Contract Development","Cryptography","Key Management Systems","HSM","Multi-Party Computation","Product Strategy","Technical Design","Roadmap Development","System Integration Patterns","Workflow-based Software Solutions","Payments Systems","24\u002F7 Mission Critical Systems","Agile Development Methodologies",{"id":532,"slug":533,"title":534,"raw_title":11,"is_featured":12,"company":535,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":538,"processed_country_iso_code_gmaps":540,"processed_home_office":20,"processed_salary_min":541,"processed_salary_max":381,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":542,"processed_employment_types":27,"processed_it_skills":543,"processed_it_skills_labels":544,"processed_job_expertise_skills":563,"processed_job_expertise_skills_labels":564,"max_cpc":90,"actual_cpc":90},61421,"director-distinguished-engineer-enterprise-ai-platforms-mufg-bank-ltd","Director, Distinguished Engineer, Enterprise AI Platforms",{"name":536,"slug":537,"logo_url":11},"MUFG Bank, Ltd.","mufg-bank-ltd",[539],"Jersey City",[133],250000,[26],{"aws":29,"sql":29,"java":29,"ci\u002Fcd":29,"kafka":30,"ragas":30,"scala":30,"spark":30,"crewai":30,"docker":29,"github":30,"python":29,"spring":30,"airflow":30,"fastapi":30,"graphql":30,"litellm":30,"node.js":30,"pytorch":30,"langchain":29,"langgraph":29,"sagemaker":30,"snowflake":30,"terraform":30,"databricks":30,"kubernetes":29,"tensorflow":30,"hugging face":30,"rest\u002Fopenapi":29,"vector search":30,"knowledge graphs":30,"metadata platforms":30,"document intelligence":30,"javascript\u002Ftypescript":30,"opensearch\u002Felasticsearch":30},[32,35,545,546,385,489,547,548,549,550,36,38,428,39,47,42,70,154,551,552,553,554,555,556,68,228,557,392,153,394,558,559,560,561,562],"Scala","JavaScript\u002FTypeScript","FastAPI","Node.js","GraphQL","REST\u002FOpenAPI","CrewAI","LiteLLM","Ragas","Hugging Face","PyTorch","TensorFlow","Databricks","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":30,"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},[406,74,565,566,567,568,569,570,571,572,185,573,574,575,576,277,577,460,578,77,579,580,581,582,583,584,585,586,587,588,589,442,115,590,591,592,593,594,81,595,596,597,362,598,599],"AI Platform Architecture","LLM Gateway Design","Model Routing","Provider Abstraction","Agent Runtime","Orchestration","RAG and Knowledge Integration","AI Observability","Security Guardrails","FinOps","Reusable Engineering Patterns","Cloud-Native Architecture","Event-Driven Systems","Infrastructure Automation","Data Architecture","Data Governance","Metadata Management","Data Lineage","Structured\u002FUnstructured Data Integration","Data Quality","Access Control Patterns","Security","Resilience","Monitoring","Auditability","Regulated Environments","Build-versus-Buy Decisions","Vendor Evaluation","Technical Roadmapping","Executive Communication","Model Risk","Compliance","Privacy","Human-in-the-Loop Workflows","Policy-as-Code",{"id":601,"slug":602,"title":603,"raw_title":11,"is_featured":12,"company":604,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":605,"processed_country_iso_code_gmaps":606,"processed_home_office":350,"processed_salary_min":607,"processed_salary_max":608,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":609,"processed_employment_types":27,"processed_it_skills":610,"processed_it_skills_labels":611,"processed_job_expertise_skills":616,"processed_job_expertise_skills_labels":617,"max_cpc":90,"actual_cpc":90},60751,"principal-site-reliability-engineer-001-manufacturers-and-traders-trust-co","Principal Site Reliability Engineer",{"name":345,"slug":346,"logo_url":11},[348],[133],139700,232900,[26],{"ci\u002Fcd":30,"observability tooling":30,"cloud platforms (aws\u002Fazure)":30,"incident management tooling":30,"programming\u002Fscripting languages":29},[612,613,42,614,615],"Programming\u002FScripting Languages","Cloud Platforms (AWS\u002FAzure)","Observability Tooling","Incident Management Tooling",{"automation":29,"system design":29,"capacity planning":29,"problem management":29,"slo\u002Fsli frameworks":29,"incident management":29,"performance testing":29,"root cause analysis":29,"failover capabilities":29,"post-incident reviews":29,"production operations":29,"observability strategy":29,"reliability engineering":29,"internal control standards":29,"site reliability engineering":29,"risk and regulatory standards":29},[435,197,199,77,618,299,619,469,620,225,146,621,622,623,624,625],"SLO\u002FSLI Frameworks","Problem Management","Observability Strategy","Performance Testing","Failover Capabilities","Post-Incident Reviews","Risk and Regulatory Standards","Internal Control Standards",{"id":627,"slug":628,"title":629,"raw_title":11,"is_featured":12,"company":630,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":633,"processed_country_iso_code_gmaps":635,"processed_home_office":20,"processed_salary_min":637,"processed_salary_max":638,"processed_salary_currency":639,"processed_salary_source":24,"processed_working_hours":640,"processed_employment_types":27,"processed_it_skills":641,"processed_it_skills_labels":643,"processed_job_expertise_skills":647,"processed_job_expertise_skills_labels":648,"max_cpc":90,"actual_cpc":90},79020,"data-design-lead-snowflake-hcc-service-co-uk-branch","Data Design Lead (Snowflake)",{"name":631,"slug":632,"logo_url":11},"HCC Service Co. UK Branch","hcc-service-co-uk-branch",[634],"London",[636],"GB",80000,120000,"GBP",[26],{"dbt":29,"sql":29,"pega":642,"fivetran":30,"snowflake":29},2,[228,385,644,645,646],"DBT","Fivetran","Pega",{"cdc patterns":29,"data lineage":29,"data modeling":29,"access control":29,"cost management":29,"data governance":29,"gdpr compliance":30,"data engineering":29,"data architecture":29,"performance tuning":29,"data quality controls":29,"production operations":29,"semantic layer design":29,"medallion architecture":29,"regulated environments":30,"enterprise data platforms":29,"architecture documentation":29,"data solution architecture":29,"insurance domain knowledge":30},[579,649,233,139,580,650,651,652,147,653,654,77,655,582,656,657,658,590,659],"Data Solution Architecture","GDPR Compliance","CDC Patterns","Medallion Architecture","Cost Management","Access Control","Architecture Documentation","Data Quality Controls","Semantic Layer Design","Enterprise Data Platforms","Insurance Domain Knowledge",{"id":661,"slug":662,"title":663,"raw_title":11,"is_featured":12,"company":664,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":665,"processed_country_iso_code_gmaps":667,"processed_home_office":20,"processed_salary_min":668,"processed_salary_max":669,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":670,"processed_employment_types":27,"processed_it_skills":671,"processed_it_skills_labels":672,"processed_job_expertise_skills":685,"processed_job_expertise_skills_labels":686,"max_cpc":90,"actual_cpc":700},83664,"sr-software-engineer-government-employees-insurance-company","Sr. Software Engineer",{"name":128,"slug":129,"logo_url":11},[666],"Bethesda",[133],105000,215000,[26],{"ai":30,"go":29,"aws":29,"gcp":29,"git":29,"avro":30,"java":29,"azure":29,"ci\u002Fcd":29,"mysql":30,"docker":29,"python":29,"ansible":30,"grafana":29,"jenkins":29,"parquet":30,"circleci":29,"cassandra":30,"terraform":30,"clickhouse":30,"kubernetes":29,"postgresql":30,"prometheus":29,"apache trino":30,"machine learning":30,"windows event log":30,"infrastructure as code":29,"windows server administration":30},[35,33,32,428,38,673,674,675,676,677,288,678,42,432,39,679,45,430,680,162,161,36,276,37,681,682,683,684],"MySQL","PostgreSQL","Clickhouse","Cassandra","Apache Trino","Avro","Ansible","CircleCI","Windows Server Administration","Windows Event Log","Machine Learning","AI",{"big data":29,"forecasting":30,"cost analysis":30,"data platform":29,"observability":29,"system design":29,"on-call support":30,"technical roadmap":29,"project management":29,"distributed systems":29,"resource management":30,"software development":29,"platform architecture":29,"production operations":30,"quantitative analysis":29,"open-source technologies":29,"streaming data pipelines":29,"data structures and algorithms":29,"operational process evaluation":30},[75,87,687,116,688,197,689,690,691,692,693,694,472,695,696,697,698,699,77],"Data Platform","Platform Architecture","Big Data","Streaming Data Pipelines","Cost Analysis","Forecasting","Resource Management","Operational Process Evaluation","Technical Roadmap","Open-Source Technologies","Data Structures and Algorithms","Quantitative Analysis","On-call Support",0.5,{"industry":702,"employment_type":719,"expertise_skills":722,"it_skills":777,"salary_currency":837,"processed_working_hours":843},[703,706,710,713,716],{"key":704,"label":444,"count":705},"financial services",9,{"key":707,"label":708,"count":709},"insurance","Insurance",5,{"key":711,"label":712,"count":642},"banking","Banking",{"key":714,"label":715,"count":90},"financial markets infrastructure","Financial Markets Infrastructure",{"key":717,"label":718,"count":90},"data provider","Data Provider",[720],{"key":27,"label":721,"count":5},"PERMANENT",[723,725,727,729,731,733,736,738,740,742,744,746,748,750,752,755,758,760,763,766,769,771,773,775],{"key":724,"label":77,"slug":724,"count":5},"production-operations",{"key":726,"label":299,"slug":726,"count":29},"incident-management",{"key":728,"label":197,"slug":728,"count":29},"system-design",{"key":730,"label":116,"slug":730,"count":30},"software-development",{"key":732,"label":240,"slug":732,"count":30},"vendor-management",{"key":734,"label":735,"slug":734,"count":30},"api-design","Api Design",{"key":737,"label":74,"slug":737,"count":30},"platform-engineering",{"key":739,"label":435,"slug":739,"count":30},"site-reliability-engineering",{"key":741,"label":87,"slug":741,"count":642},"observability",{"key":743,"label":442,"slug":743,"count":642},"cost-optimization",{"key":745,"label":368,"slug":745,"count":642},"risk-management",{"key":747,"label":194,"slug":747,"count":642},"software-engineering",{"key":749,"label":78,"slug":749,"count":642},"incident-response",{"key":751,"label":115,"slug":751,"count":642},"operational-controls",{"key":753,"label":754,"slug":753,"count":642},"project-management","Project management",{"key":756,"label":757,"slug":756,"count":642},"multi-tiered-architecture","Multi-Tiered Architecture",{"key":759,"label":590,"slug":759,"count":642},"regulated-environments",{"key":761,"label":762,"slug":761,"count":642},"distributed-architecture","Distributed Architecture",{"key":764,"label":765,"slug":764,"count":642},"full-stack-development","Full Stack Development",{"key":767,"label":768,"slug":767,"count":642},"large-scale-system-design","Large-Scale System Design",{"key":770,"label":121,"slug":770,"count":642},"operational-resilience",{"key":772,"label":241,"slug":772,"count":642},"platform-modernization",{"key":774,"label":199,"slug":774,"count":642},"reliability-engineering",{"key":776,"label":469,"slug":776,"count":642},"root-cause-analysis",[778,782,785,787,789,792,795,797,799,802,803,805,807,810,813,815,818,821,823,825,827,829,831,834],{"key":779,"label":780,"slug":779,"count":781},"ms-azure","MS Azure",8,{"key":783,"label":784,"slug":783,"count":781},"aws","Aws",{"key":786,"label":35,"slug":786,"count":781},"java",{"key":788,"label":38,"slug":788,"count":781},"kubernetes",{"key":790,"label":791,"slug":790,"count":781},"cicd","Ci\u002FCd",{"key":793,"label":153,"slug":793,"count":794},"kafka",6,{"key":796,"label":228,"slug":796,"count":709},"snowflake",{"key":798,"label":32,"slug":798,"count":709},"python",{"key":800,"label":801,"slug":800,"count":29},"opentelemetry","Opentelemetry",{"key":741,"label":87,"slug":741,"count":29},{"key":804,"label":39,"slug":804,"count":29},"terraform",{"key":806,"label":288,"slug":806,"count":30},"parquet",{"key":808,"label":809,"slug":808,"count":30},"ai-tools","Ai Tools",{"key":811,"label":812,"slug":811,"count":30},"gcp","Gcp",{"key":814,"label":33,"slug":814,"count":30},"go",{"key":816,"label":817,"slug":816,"count":30},"langchain","Langchain",{"key":819,"label":820,"slug":819,"count":30},"rag","Rag",{"key":822,"label":225,"slug":822,"count":30},"automation",{"key":824,"label":385,"slug":824,"count":30},"sql",{"key":826,"label":428,"slug":826,"count":30},"docker",{"key":828,"label":267,"slug":828,"count":642},"apache-spark",{"key":830,"label":265,"slug":830,"count":642},"oracle",{"key":832,"label":833,"slug":832,"count":642},"plsql","Pl\u002FSql",{"key":835,"label":836,"slug":835,"count":642},"mongodb","Mongodb",[838,839,840,841,842],{"key":23,"label":23,"count":705},{"key":259,"label":259,"count":30},{"key":103,"label":103,"count":642},{"key":485,"label":485,"count":90},{"key":639,"label":639,"count":90},[844,845],{"key":26,"label":26,"count":5},{"key":105,"label":105,"count":90},{"total":90,"jobs":847},[848],{"id":849,"slug":850,"title":851,"raw_title":11,"is_featured":852,"company":853,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":857,"processed_country_iso_code_gmaps":859,"processed_home_office":860,"processed_salary_min":861,"processed_salary_max":862,"processed_salary_currency":103,"processed_salary_source":11,"processed_working_hours":863,"processed_employment_types":721,"processed_it_skills":865,"processed_it_skills_labels":11,"processed_job_expertise_skills":866,"processed_job_expertise_skills_labels":867,"max_cpc":873,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":854,"slug":855,"logo_url":856},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[858],"Frankfurt am Main",[101],"HYBRID",45000,65000,[864],"full_time",{},{"Financial Analysis":30,"Regulatory Compliance":30,"New Customer Acquisition":30,"Private Banking Advisory":30,"Banking Products Knowledge":30,"Customer Relationship Management":30},[868,869,870,122,871,872],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]