Leads development of high-performance, latency-sensitive trading systems using Java and Python. Oversees architecture, coding, testing, APIs, integration strategies, observability, resilience, security, incident response, and operational readiness. Guides agile delivery through technical planning, code reviews, retrospectives, and mentoring. Establishes responsible use of AI-assisted engineering tools and validates outputs for correctness, performance, and security in a regulated financial environment.
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Lead Software Engineer at JPMorganChase within Digital Markets Execution Technology, Execute, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
As a Lead Software Engineer at JPMorganChase within Digital Markets Execution Technology, Execute, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes and oversees end-to-end software solutions, engineering standards, architecture, and technical troubleshooting for trading systems
- Designs and builds high-performance, latency-sensitive services with awareness of upstream/downstream system dependencies
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Leads technical analysis, estimation, planning, code reviews, architecture sessions, and retrospectives to drive delivery outcomes
- Establishes reliability goals and implements observability, resilience patterns, and operational readiness practices
- Leads incident response and post-incident reviews to improve production stability and performance; identifies recurring issues and drives automation/remediation
- Upholds secure-by-default engineering practices and risk/control standards across the SDLC
- Guides integration contracts, API/versioning strategies, and deprecation paths for platform services
- Drives team adoption of enterprise-authorized AI-assisted engineering practices across the SDLC toolchain to improve code quality, delivery speed, and operational outcomes, while setting validation standards for correctness, performance, and security
- Mentors engineers and contributes to a culture of inclusion, respectful collaboration, and continuous improvement aligned to measurable outcomes
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and advanced applied experience in Java / Python
- Hands-on practical experience delivering system design, application development, testing, and operational stability for mission-critical platforms
- Advanced in one or more programming language(s), with deep hands-on expertise in Java (17+), including concurrency, memory management, and object-oriented design
- Demonstrated experience designing clean APIs and rollout strategies for distributed systems (including integration and backward compatibility considerations)
- Practical experience with Spring/Spring Boot, microservices, Kubernetes, Linux, and core networking/messaging concepts
- Proficient in all aspects of the Software Development Life Cycle, including CI/CD, automated testing practices, application resiliency, and security
- Demonstrated experience leading effective use of enterprise-approved AI-assisted software development tools (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 and secure handling of inputs/outputs, aligned to resiliency and security expectations
- Effective communication with technical and non-technical audiences; ability to operate in globally distributed teams
Preferred qualifications, capabilities, and skills
- Exposure to messaging systems and market protocols (e.g., MQ/Kafka; familiarity with FIX and Solace)
- Experience with observability stacks and resilience engineering for low-latency / latency-sensitive platforms
- Familiarity with Python
-
Experience operating services in regulated environments with strong auditability and controls
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.
Similar Jobs
Financial Services
Design, build, and maintain large-scale, secure data engineering solutions. Lead architecture, deliver production code, drive automation and operational stability, mentor teams, and evaluate vendor/technology choices to advance risk technology platforms.
Top Skills:
AirflowApi DesignCC#C++Ci/CdCloud-NativeData LakeDatabricksDynatraceGrafanaJavaKafkaMemcachedMicroservicesNoSQLObservabilityPysparkPythonRedisSnowflakeSparkSplunkSQLTemporal
Financial Services
Lead development of the QES trading platform: design, build, test, and maintain production-grade software. Collaborate with front office (trading, structuring, research), deliver secure high-quality code (Python/Java/TypeScript/React), automate operational remediation, and lead agile engineering practices and communities of practice.
Top Skills:
JavaPythonReactTypescript
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Provides technical pre-sales consulting for ServiceNow solutions serving UK public sector, justice, and policing customers. Responsibilities include advising executives, uncovering business and technology needs, partnering with sales, leading solution demonstrations, responding to proposals, supporting proof-of-concept cycles, explaining product value and roadmaps, managing competitive positioning, supporting marketing events, and transitioning customer commitments to professional services. The role requires enterprise software sales engineering expertise, public sector experience, strong communication skills, and regular UK business travel.
Top Skills:
AgileCloud ManagementDevOpsEvent ManagementFinancial ManagementGenerative AiGovernance Risk And Compliance (Grc)Hr Service Delivery (Hrsd)Infrastructure Discovery And MappingIt Operations Management (Itom)It Service Management (Itsm)Project Portfolio Management (Ppm)Security OperationsServicenow
What you need to know about the Edinburgh Tech Scene
From traditional pubs and centuries-old universities to sleek shopping malls and glass-paneled office buildings, Edinburgh's architecture reflects its unique blend of history and modernity. But the fusion of past and future isn't just visible in its buildings; it's also shaping the city's economy. Named the United Kingdom's leading technology ecosystem outside of London, Edinburgh plays host to major global companies like Apple and Adobe, as well as a growing number of innovative startups in fields like cybersecurity, finance and healthcare.
