JPMorganChase
Software Engineer III - Java, microservice, AWS, Databricks, MLOps
Be an Early Applicant
Designs, develops, and supports Java backend services and Python-based Databricks applications. Builds REST APIs, event-driven microservices, and AWS deployments while applying resilient architecture practices. The role includes automated testing, code reviews, production troubleshooting, observability, DevOps, CI/CD, containerization, Kubernetes, infrastructure as code, and MLOps. Collaborates with product, design, and engineering teams, uses approved AI-assisted development tools responsibly, and validates AI-generated code for quality, performance, security, and reliability.
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the JPM - US Wealth Management Tech, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
As a Software Engineer III at JPMorganChase within the JPM - US Wealth Management Tech, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Design, develop, and maintain Java-based backend services and python based Databricks applications.
- Build and integrate REST APIs and event-driven services.
- Apply resilient microservice design practices, including service decomposition and inter-service communication.
- Deploy and support applications on AWS.
- Write and maintain automated tests, participate in code reviews, and help troubleshoot production issues.
- Collaborate with product, design, and engineering partners throughout delivery demonstrating end-to-end ownership.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
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
- Formal training or certification on software engineering concepts and 3+ years applied experience in full stack/software engineering roles with strong Java, Microservices, Messaging, React, and AWS fundamentals.
- Hands-on Java experience, including Core Java, object-oriented design, collections, and concurrency.
- Experience building and supporting microservices and REST APIs. Deep knowledge of microservice architecture: service decomposition, inter-service communication, resilience patterns
- Experience with messaging or event-streaming technologies such as Kafka or RabbitMQ. Experience deploying or operating applications on AWS, using relevant services such as EC2, Lambda, S3, ECS/EKS, or API Gateway.
- Understanding of relational or NoSQL databases and secure software development practices.
- Proficient in Python for scripting, automation, and backend/data processing tasks. Exposure to Databricks for data engineering/analytics workloads.
- Observability practices, including logging, metrics, and distributed tracing; familiarity with tools such as ELK, Prometheus, Grafana, or CloudWatch.
- DevOps practices — Production monitoring, alerting, and reliability practices. CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and infrastructure as code.
- Familiarity with MLOps practices — model deployment, monitoring, versioning, CI/CD for ML pipelines. Experience with containerization (Docker) and orchestration (Kubernetes).
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Drive CRM and industry workflow growth across Telecom, Media, and Technology accounts. Develop territory strategies, identify transformation opportunities, engage executive stakeholders, articulate business value, and lead complex solution sales. Partner with account executives, solution consultants, and ecosystem partners to create roadmaps and differentiated proposals. Coach sales teams on CRM, AI, automation, and industry solutions while building strategic customer relationships and advancing adoption.
Top Skills:
Agentic AiAICRMGenerative AiIntelligent WorkflowsServicenowWorkflow Automation
Financial Services
Develop and troubleshoot secure, scalable software for payments technology. Responsibilities include coding, system design, testing, SDLC execution, technical troubleshooting, data analysis, automation, and collaboration within an agile team. Preferred experience includes Java 17+, enterprise full-stack development, microservices, AWS deployment using EKS, ECS, and EC2, Terraform, and relational databases such as Oracle or PostgreSQL.
Top Skills:
Amazon Ec2Aws Elastic Container ServiceAws Elastic Kubernetes ServiceCi/CdJavaJava 17+MicroservicesOraclePostgresSQLTerraform
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Supports financial reporting and regulatory FINREP assessments, including ledger reference data reviews, analysis of IFRS requirements, documentation management, and traceability to regulatory guidance. The role requires strong Excel and PowerPoint skills, attention to detail, stakeholder management, communication, and the ability to deliver accurately under pressure with minimal supervision.
Top Skills:
FinrepIfrsIfrs 9ExcelMicrosoft Powerpoint
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
