Lead Software Engineer responsible for designing, coding, testing, and operating secure, scalable 24x7 enterprise services. Provides technical leadership, reviews code, guides AI-assisted engineering practices, establishes validation and security standards, improves SDLC automation, and influences product and technical decisions. Requires proficiency in Rust, Java, Go, or C++, strong system design experience, and expertise operating tier-1 online services. Familiarity with Apache DataFusion, DuckDB, and Apache Arrow Flight SQL is preferred.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the CDAO's AI/ML Data Platform's team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
As a Lead Software Engineer at JPMorganChase within the CDAO's AI/ML Data Platform's team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Adds to the team culture of diversity, opportunity, inclusion, and respect
- Build and operate 24x7, tier‑1 online services
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong core engineering skills: hands‑on coding and system design for modern enterprise systems.
- Proficiency in one or more of the following languages: Rust, Java, Go, C++
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
- Proven track record building and operating 24x7, tier‑1 online services.
- Hands-on practical experience delivering system design, application development, testing, and operational stability
Ability to tackle design and functionality problems independently with little to no oversight
Preferred qualifications, capabilities, and skills
- Familiarity with open‑source projects in the OLAP/data stack: Apache DataFusion, DuckDB, Apache Arrow Flight SQL.
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.
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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Similar Jobs
Financial Services
Leads enterprise cloud networking architecture across AWS, Azure, and/or GCP. Defines reusable standards, designs secure and resilient solutions, manages technology and cybersecurity risks, remediates audit findings, and supports incident response. Mentors engineers, influences cross-functional architecture decisions, and promotes infrastructure automation and responsible AI-assisted engineering practices with strong validation, security, and auditability controls.
Top Skills:
Ai-Assisted Software Development ToolsAnsibleAWSAzureBgpCloudFormationDnsFirewallsGCPInfrastructure As CodeKubernetes NetworkingLoad BalancingNatObservabilityPolicy As CodeProxiesSd-WanService MeshSreTerraformVpnZero-Trust Networking
Financial Services
Leads cloud platform engineering, including secure infrastructure design, developer experience, CI/CD modernization, self-service workflows, observability, and platform tooling. Provides technical leadership, aligns roadmaps with business priorities, and improves engineering productivity through automation and AI-assisted development. Builds AI agents and Model Context Protocol integrations using Google ADK and Anthropic SDKs.
Top Skills:
Ai-Assisted Coding ToolsAnthropic SdksAWSAzureBitbucketCi/CdCrossplaneDatadogDevsecopsDockerEcsGCPGitGoGoogle AdkGrafanaJenkinsKroKubernetesLlmsModel Context Protocol (Mcp)PrometheusPythonSpinnakerSplunkTerraform
Financial Services
Leads the design, deployment, and operation of CDN production systems using Akamai and Cloudflare. Develops IaC and GitOps automation, network provisioning workflows, APIs, and potentially React interfaces. Drives system architecture, delivery pipelines, testing, security, reliability, and operational excellence. Coaches engineers through code reviews and technical decisions while promoting responsible AI-assisted development practices and validating AI-generated outputs for security, correctness, and performance.
Top Skills:
AkamaiAmazon Web Services (Aws)Ci/CdCloudflareGitopsInfrastructure As Code (Iac)Nosql DatabasesRabbitMQReactRelational Databases
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
