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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager of Software Engineering - **Company:** JPMorgan Chase & Co. - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Artificial Intelligence, Amazon Web Services, Command-Line Interface, Cloud Engineering, Software Debugging, Distributed Systems, Data Intelligence, Python (Programming Language), Reliability Engineering, Site Reliability Engineering Practices, Software Engineering, Datadog, Spring-boot, Data Analytics, Cloudwatch - **Published:** August 21, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/27953102/Senior-Manager-Software-Engineering-New-York-All-Cities-7463 ## About the Role As a Senior Manager of Software Engineering at JPMorgan Chase within the Corporate Investment Bank, Markets team, you are the non-functional requirement owner and champion for the applications in your remit. You are a key influencer in your team's strategic planning, driving continual improvement in customer experience, resiliency, security, scalability, monitoring, instrumentation, and automation of the software in your area. You act in a blameless, data-driven manner and navigate difficult situations with composure and tact., * Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise * Demonstrated experience supporting front-office / trading desk workflows or similarly time-sensitive production environments, with comfort operating during market hours * Proven production management / SRE leadership experience (support rotations, incident response, root cause analysis, post-incident actions, reliability improvements) * Experience leading teams in the safe use of enterprise-authorized AI capabilities within the work environment for reliability engineering workflows, including validation habits and awareness of data sensitivity.\\ * Ability to set and reinforce organization-level practices for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes. * Experience leading technologists in a player/coach capacity, including guiding support staff and influencing senior engineers and delivery teams * Strong engineering fundamentals: distributed systems thinking, debugging, performance analysis, and pragmatic tradeoffs under pressure * Practical AWS experience supporting production services (troubleshooting, deployment, operational visibility) * Strong stakeholder management and communication skills, especially during incidents and high-pressure periods * Proficiency in at least one programming language (e.g., Python, Java/Spring Boot, .NET) and ability to automate/engineer solutions that reduce toil Preferred qualifications, capabilities, and skills * Ability to code and demonstrate data fluency * Prior Markets experience (Fixed Income preferred; experience supporting multiple lines of business is a plus) * Hands-on experience with AWS CLI, CloudWatch, and cloud-native operational patterns * Experience with Datadog (metrics/logs/traces, alert tuning, SLOs) and/or comparable observability stacks * Experience applying AI-assisted tooling to reduce operational toil (e.g., incident summarization, runbook assistance), with appropriate controls and governance. * Coach and develop engineers through individualized mentoring; ensure knowledge is documented and shared via internal forums and communities of practice ## Description * Manage day-to-day execution of SRE functions (workload prioritization, shift coverage, triage quality, escalations, runbooks, and handoffs) to ensure consistent and timely outcomes during market hour * Drives reuse-first adoption of enterprise-authorized AI capabilities within the work environment to improve reliability operations and customer experience outcomes, with human-in-the-loop validation and appropriate handling of sensitive data. * Provide North America leadership for production management teams supporting trading desks across multiple Markets lines of business; ensure reliable day-to-day operations and sustained stability improvements * Lead and coordinate L1/L2 investigations and incident response; ensure clear ownership, high-quality communications, and follow-through to root cause and prevention * Act as a key technology partner to the trading desks: monitor operational signals, drive rapid engagement, translate business impact into technical action, and communicate clearly under pressure * Drive adoption of SRE practices across delivery teams, ensuring best practices are implemented and demonstrated empirically via stability and reliability metrics (e.g., SLOs, error budgets, incident trends) * Own and evolve observability (dashboards/alerts/SLOs, instrumentation, monitoring strategy) and use data to prioritize resiliency, performance, and scalability improvements * Deliver automation and tooling that reduces operational toil and improves support effectiveness (faster diagnosis, safer remediation, repeatable fixes, and self-service workflows) * Establish and enforce operational standards for delivery teams (operational readiness, testing discipline, release safety, rollback strategy, post-incident actions) and hold teams accountable for closing gaps * Establishes team standards for AI-assisted reliability workflows across automation and delivery practices, ensuring traceability/auditability, resiliency, and security controls. ## Related Videos - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [From Black Box to Glass Box : Bedrock AgentCore Observability](https://www.wearedevelopers.com/videos/2126-from-black-box-to-glass-box-bedrock-agentcore-observability) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)