Software Engineer - Data & Analytics Services

Own high-impact systems that power analytics and AI at scale, and deliver elite performance, security, and cost efficiency., * Own end-to-end architecture and design for critical platform components across streaming, batch, and interactive workloads; produce ADRs, reference designs, and interfaces making build/buy choices and selecting technologies for storage, compute, streaming, metadata, and orchestration; driving evolution toward lakehouse paradigms.

• Write high-quality, performant code in Java/Scala/Python/Go; build robust APIs and services; perform deep reviews; establish test strategies and quality gates to implement resilient distributed workflows: exactly-once processing where required, schema evolution, idempotency, backpressure, and failure recovery.
• Design and optimize compute clusters, storage layers, catalogs, and query engines for elasticity, throughput, and cost efficiency and tune performance across the stack: partitioning, file sizing, caching, vectorization, spill control, and autoscaling policies.
• Embed IAM/RBAC/ABAC, secrets management, encryption, tokenization, and network controls in services and pipelines to integrate cataloging, lineage, and data quality checks; ensure auditability, retention, and evidence collection in CI/CD and runtime.
• Define SLIs/SLOs and error budgets for your services; build meaningful metrics, logs, and traces; automate alerts and runbooks to contribute to DR design, multi-region strategies, chaos testing, capacity planning, and incident response/postmortems.
• Partner with product and platform leads to translate requirements into capabilities and APIs; provide technical leadership without direct people management.
• Mentor senior engineers, drive design reviews, and champion engineering excellence and risk controls., Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

• Formal training or certification on software engineering concepts and 10+ years applied experience
• Demonstrable ownership of cloud-native distributed systems or data platforms at scale as a hands-on individual contributor.
• Experience with Cloud platforms (AWS/Azure/Google Cloud Platform): Kubernetes (EKS/AKS/GKE), serverless, VPC/networking, IAM, and cost optimization.
• Experience with Storage and lakehouse tech: Object storage (S3/ADLSS), table formats (Delta/Iceberg/Hudi), columnar formats (Parquet/ORC).
• Data processing/streaming: Spark/Flink/Beam; Kafka/Kinesis/Event Hubs; CDC and schema management.
• Query/compute engines: Trino/Presto, Snowflake, Databricks, BigQuery; profiling and tuning at TB-PB scale.
• Strong foundation in distributed systems: consensus, partitioning, replication, consistency models, scheduling, and failure modes.
• Security and governance experience: encryption, secrets, identity, policy enforcement, DLP, audit logging.
• DevOps/SRE proficiency: IaC (Terraform/CloudFormation/Bicep), CI/CD, GitOps, blue/green and canary releases, autoscaling and resilience engineering.
• Excellent system design and communication skills; ability to influence roadmaps and standards across teams without formal authority., * Experience in regulated or mission-critical environments with strict RTO/RPO and evidencing requirements.
• Hands-on with data governance stacks (e.g., Glue/Purview/Data Catalog, OpenLineage), data quality frameworks, and policy engines.
• Familiarity with ML/AI data patterns: feature stores, model training/inference data pipelines, low-latency serving.
• Multi-region active-active designs, DR automation, chaos engineering, and capacity modeling.
• FinOps practices for large-scale data workloads.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.