Software Engineer III Java, Kafka, Kubernetes

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Commercial & Investment Bank you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure stable and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Provide Level 3 production support for critical Java microservices and batch/streaming workloads.
• Own major incident (P1/P2) triage troubleshooting mitigation and restoration within SLA. Perform deep Root Cause Analysis (RCA) including log/metric/trace analysis; deliver corrective and preventive actions.
• Support and tune Kafka-based event streaming: consumer lag issues rebalancing partition strategy retries/DLQ patterns idempotency ordering concerns. Support Spring Boot services: thread dumps heap analysis GC behavior connection pooling dependency issues.
• Diagnose and resolve database (Oracle) issues: slow queries locks/deadlocks indexing execution plans connection pool saturation.
• Support Elasticsearch (Gaia): index health query performance mapping issues shard/replica allocation ingestion failures.
• Collaborate with development teams on bug fixes hotfix validation release readiness and post-deployment verification.
• Improve observability: enhance dashboards/alerts log correlation runbooks and operational KPIs. Participate in on-call rotations change management and planned maintenance activities.
• Drive problem management: identify recurring issues reduce noise and implement automation/self-healing where feasible.
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality delivery speed and productivity across complex deliverables (e.g. code generation/refactoring unit test creation documentation) while validating outputs through peer review automated testing and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
• Applies knowledge of tools within the Software Development Life Cycle toolchain including enterprise-authorized AI-assisted development and automation capabilities to improve the value realized by automation.

Required qualifications capabilities and skills

• Formal training or certification onsoftware engineeringconcepts and 3 years applied experience
• Strong experience in Java production troubleshooting (Java 11). Strong hands-on with Spring Boot (REST APIs configuration actuator/metrics dependency management).
• Experience supporting Apache Kafka in production (topics partitions consumer groups offsets retries/DLQ schema/versioning concepts). Strong knowledge of Oracle (SQL tuning indexing locking performance troubleshooting).
• Experience supporting Elasticsearch (cluster health index lifecycle query DSL basics performance diagnosis).
• Proven ability with incident management and RCA (problem statements timeline 5-Whys action items). Strong Linux skills: process inspection file/log handling networking basics (netstat/ss DNS TLS concepts).
• CI/CD and release support exposure (any of): Jenkins GitLab CI ArgoCD etc. Scripting/automation: Shell / Python basics for diagnostics and operational tooling.
• Experience with Kubernetes and cloud platform operations (assumed GKE/GCP or your GKP platform): pods deployments configmaps/secrets scaling resource limits troubleshooting restarts/OOM.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g. for coding test creation troubleshooting or documentation) with demonstrated ability to critically evaluate validate and refine AI-generated outputs for correctness performance and security.
• Understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications capabilities and skills

• Experience with schema registries (e.g. Avro/Protobuf concepts) and message compatibility strategies.
• Performance testing and capacity planning exposure (load patterns bottleneck identification). Knowledge of ITIL processes (Incident/Problem/Change) and service management tools (e.g. ServiceNow). Experience with 3 years in L3/production support for distributed systems preferred
• Familiarity with security basics: secrets handling certificate rotation least privilege vulnerability remediation support.
• Experience in regulated/high-availability environments (financial services is a plus). Familiarity with observability tools (any of): Splunk/ELK Prometheus Grafana AppDynamics/Dynatrace OpenTelemetry.