Software Engineer III
About The Position
As a Software Engineer III on JPMorgan Chase's Commercial & Investment Bank Production Management team, you will solve complex business problems by modernizing and operating mission-critical systems. You will configure, maintain, monitor, and optimize applications and cloud infrastructure, independently improving existing solutions. You will contribute to end-to-end operations, availability, reliability, and scalability, and help promote site reliability engineering practices across the team. The role focuses on production support and reliability engineering: monitoring service health, leading incident triage and response, improving observability, coordinating support operations, and partnering with engineering teams on root-cause fixes and safer releases. You will also use enterprise-authorized AI capabilities to support incident analysis and identify reliability risks or recurring operational toil, validating recommendations and following data-sensitivity and security requirements.
Requirements
- Formal training or certification in software engineering concepts and at least 3 years of applied experience.
- Proficiency in site reliability culture and principles, with familiarity implementing SRE practices in an application or platform.
- Proficiency in at least one programming language, such as Python, Java/Spring Boot, or .NET.
- Working knowledge of enterprise-authorized AI capabilities for SRE workflows, with strong validation habits and awareness of data sensitivity.
- Ability to validate AI-assisted operational recommendations before applying changes, escalate when uncertain, and follow data-sensitivity requirements.
- Proficient knowledge of software applications and technical processes in a technical discipline such as cloud, AI, or Android.
- Practical AWS experience supporting production services, including visibility, troubleshooting, deployments, and operational hygiene.
- Ability to write code, such as Python or Java, to automate support work and reduce operational toil.
- Experience operating in time-sensitive environments, such as market hours, with strong incident discipline and stakeholder communication.
- Strong debugging fundamentals across distributed systems, including logs, metrics, latency analysis, dependency failures, and data issues.
Nice To Haves
- Prior Markets experience, especially pricing, risk, or market data support; Fixed Income experience is a plus.
- Experience with Datadog metrics, logs, traces, alert tuning, dashboards, and basic SLO concepts.
- Familiarity with messaging and streaming patterns such as Kafka or MQ, and data quality checks in execution and pricing pipelines.
- Experience applying AI-assisted tooling to reduce support toil.
Responsibilities
- Guide and assist others in creating appropriate designs, gaining peer consensus where appropriate, and adopting site reliability engineering practices.
- Collaborate with software engineers and other teams to design, develop, test, and implement deployment and reliability approaches using automated CI/CD pipelines.
- Use enterprise-authorized AI capabilities to accelerate incident triage, troubleshooting, and post-incident analysis while validating outputs and handling operational data appropriately.
- Monitor alerts, dashboards, service health indicators, and user feedback, and coordinate rapid ownership and response when issues arise.
- Improve instrumentation, dashboards, and alert quality; use trends and incident data to reduce noise, prevent recurrence, and lower MTTR and incident frequency.
- Maintain and improve the support operating model, including runbooks, handoffs, escalation paths, shift coverage, and post-incident actions and follow-through.
- Partner with engineering and service owners on root-cause fixes, change and release standards, cross-service dependencies, and automation or self-service tooling.
- Lead L1/L2 production support by triaging incidents, investigating causes, applying safe mitigations or workarounds, and providing clear stakeholder updates through resolution.
- Apply enterprise-authorized AI capabilities to find operational patterns indicating reliability risks or recurring toil and prioritize reuse-first improvements tied to SLO outcomes.
Benefits
- Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
