Similar Jobs
.png){kind=logo}
Software
Lead the architecture and development of massive-scale observability ingestion systems using Java, Kafka, and cloud-native technologies. Drive architectural strategy, distributed-system design, multi-cloud infrastructure, JVM and concurrency optimization, and operational excellence. Mentor engineers, establish engineering standards, eliminate performance bottlenecks, and translate business requirements into scalable technical solutions.
Top Skills:
Amazon EksAmazon S3Apache FlinkApache KafkaAWSAzureCi/CdDevsecopsDockerJavaJvmKafka StreamsKubernetesOpentelemetryTerraform
Financial Services
Leads software engineering teams in designing, developing, and delivering secure, scalable, resilient applications. Responsibilities include Java and Scala development, distributed systems architecture, AI-enabled applications and agentic workflows, cloud and data platform integration, CI/CD, containerization, infrastructure automation, testing, and enterprise AI-assisted engineering adoption. The role mentors engineers, drives architecture decisions, improves operational stability, and ensures responsible AI usage, governance, security, and human validation.
Top Skills:
Amazon EcsAmazon EksAWSCi/CdDatabricksDockerElasticsearchGraphQLInfrastructure As CodeJavaKubernetesLangchainLarge Language ModelsLlamaindexMongoDBOracleReactRestRetrieval-Augmented GenerationScalaSpring BootSQL
Financial Services
Leads software design, development, troubleshooting, code review, architecture evaluation, automation, and operational stability initiatives. Guides adoption of AI-assisted engineering practices, establishes secure validation standards, evaluates technology solutions, drives communities of practice, and mentors teams on responsible AI use. Requires advanced Java and enterprise application expertise, architectural knowledge, and ownership of business outcomes.
Top Skills:
Ai-Assisted Software Development ToolsCassandraCloud FoundryCockroachdbJavaKafkaPostgresRestSoapSpringSpring Boot
Lead cloud architecture and resiliency strategy for AWS-based products, drive cost optimization, IaC and automation, integrate AI-assisted engineering practices, set shared architectural standards, and communicate technical strategy to leadership in a regulated banking environment.
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 JPMorgan Chase within the Consumer and community banking technology 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. 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
- Shape the end-to-end AWS cloud architecture strategy across all product components.
- Advance the resiliency strategy — multi-region, active-active, failover/failback, and DR.
- Strengthen cloud cost strategy and optimization across the product.
- Evolve the automation and infrastructure-as-code strategy.
- Mature AI integration across engineering and product workflows.
- Raise the bar on shared architectural standards and decision-making across teams.
- Sharpen how complex technical strategy is distilled into leadership-facing narratives.
- Promotes team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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
- Deep, broad AWS expertise across compute, data, networking, and security, with proven production architecture work.
- Systems thinking — reasoning about trade-offs, failure modes, and dependencies across an entire product.
- Strategic command of cost, scalability, automation, and AI integration as connected levers.
- Hands-on depth to validate and prototype ideas, not just advise.
- Executive communication and rigorous, independent judgment in a regulated, high-stakes environment.
- Demonstrated experience leading effective use of 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, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
JPMorganChase Hyderabad, Telangana, IND Office
JP Morgan Tower, Salarpuria Sattva Knowledge City, HITEC City, Raidurgam, Hyderabad, Telangana, India, 500081
What you need to know about the Hyderabad Tech Scene
Because of its proximity to leading research institutions and a government committed to the city's growth, Hyderabad's tech scene is booming. With plans to establish India's first "AI city," the city is on track to become one of the world's most anticipated tech hubs, with companies like TransUnion, Schrödinger and Freshworks, among others, already calling the city home.
