{"id":1140557,"url":"https://alion.io/job/jpmorganchase-senior-lead-software-engineer-big-data-cloud-engineering-risk-central-london","title":"Senior Lead Software Engineer, Big Data & Cloud Engineering — Risk Central (London)","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":100,"open_postings":344,"ghost_share":0.003,"stale_share":0.009,"repost_share":0.015,"time_to_fill_p50_days":3,"computed_at":"2026-09-23T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":211000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"DynamoDB","optional":false},{"name":"IAM","optional":false},{"name":"Incident Management","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-09-23T10:39:49Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-23T18:18:30Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Build and operate data and analytics services that power critical markets risk decisions at scale. In this senior, hands-on role, you will lead complex engineering initiatives across a modern cloud and big data stack while shaping technical direction and standards. You will partner closely with stakeholders across Front Office, Risk, Product Control, and Finance to deliver timely, consistent, high-quality analytics. You will help strengthen reliability, governance, and performance across enterprise data platforms, including Databricks and Amazon Redshift.\nAs a Senior Lead Software Engineer at JPMorgan Chase in the Risk Central team, you will be a senior hands-on engineer and technical leader responsible for building and operating scalable data and analytics services supporting Markets risk use cases. You will lead delivery across ingestion, transformation, storage, and consumption layers, with a strong focus on operational excellence and predictable outcomes. You will design and evolve data products and workflows that run across Databricks and Amazon Redshift, improving consistency, controls, and performance. You will mentor engineers, drive engineering best practices, and communicate clearly on progress, risks, dependencies, and trade-offs.\nJob Responsibilities\nLead end-to-end delivery of complex initiatives across ingestion, transformation, storage, and consumption layers.\nDrive engineering best practices including design reviews, code reviews, testing standards, CI/CD, and documentation.\nMentor engineers and raise the bar on technical quality, ownership, and operational excellence.\nDesign and build robust batch and streaming pipelines using distributed compute for high-volume workloads.\nImplement efficient data modeling, partitioning, and performance tuning strategies for large datasets.\nBuild reusable frameworks and components to accelerate onboarding of new datasets and analytics use cases.\nEngineer data products and workflows spanning Databricks and Amazon Redshift, including ingestion patterns, transformations, and serving layers.\nDefine approaches to reconciliation, consistency, lineage, and controls across both enterprise data warehouses.\nOptimize query performance and cost across platforms, and establish best practices for workload placement.\nBuild cloud-native solutions on AWS aligned to team standards, including services such as S3, EMR, Lambda, Kinesis or MSK, Glue, EventBridge, DynamoDB, Redshift, and EKS.\nOwn production stability by improving monitoring and alerting, incident management, root-cause analysis, preventative engineering, and SLAs and SLOs.\nRequired Qualifications, Capabilities, and Skills\nDemonstrated experience delivering production software systems at scale.\nProficiency in Python and or Java or Scala, with computer science fundamentals including data structures, algorithms, and object-oriented design.\nHands-on experience with distributed data processing, such as Spark, and building data pipelines in batch and or streaming patterns.\nExperience with Databricks, Amazon Redshift, or equivalent enterprise data warehouse and lakehouse platforms, including designing and tuning performant workloads.\nProficiency in SQL and understanding of data modeling and analytics patterns.\nPractical knowledge of cloud engineering concepts, including security, networking basics, IAM and access controls, encryption, and observability.\nProven ability to troubleshoot production issues and drive operational improvements.\nStrong communication skills and experience working with globally distributed teams.\nPreferred Qualifications, Capabilities, and Skills\nExperience in Markets technology, including familiarity with the trade lifecycle, market risk measures, sensitivities, and P&L explain, plus common products such as FX, rates, credit, and equities.\nExperience with streaming technologies and near-real-time analytics patterns, including Kafka, MSK, or Kinesis.\nExperience with governance, controls, and data quality frameworks including reconciliations, lineage, auditability, and entitlements.\nFamiliarity with lake and lakehouse table formats and concepts, including Iceberg or Delta, and columnar storage formats such as Parquet.\nExperience with CI/CD, infrastructure as code, containerized workloads, and DevOps practices.\nExperience leading initiatives across multiple teams, including technical leadership, mentoring, and cross-team coordination.\nRisk Central is a strategic technology group within JPMorganChase’s Commercial and Investment Bank that builds and operates a next-generation analytics platform used for critical front office and risk reporting. The platform delivers timely, consistent, and high-quality data and analytics to support risk management and decision-making across global markets. A key aspect of the role is operating across two enterprise data warehouses, Databricks and Amazon Redshift, ensuring data consistency, performance, governance, and reliability across both platforms. The role is aligned to the Risk Central team in London.","description_format":"text","description_chars":5040,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Credit Cards","Wealth Management","Asset Management","Payments"],"lifecycle":[{"event":"open","at":"2026-09-23T10:55:03Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":3,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-09-23T18:57:39Z"},"pay":null,"html_url":"https://alion.io/job/jpmorganchase-senior-lead-software-engineer-big-data-cloud-engineering-risk-central-london","json_url":"https://alion.io/job/jpmorganchase-senior-lead-software-engineer-big-data-cloud-engineering-risk-central-london.json","meta":{"generated_at":"2026-09-23T18:57:39Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}