Lead Software Engineer - Java, Cloud, AI ML

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banks Post Trade Technology Team, 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 implement cloud-based applications and services.
• Collaborate with architects and engineers to ensure design solutions are aligned with business goals.
• Optimize applications for performance, scalability, and security.
• Identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems
• Participate in code reviews and provide constructive feedback to peers.
• Stay up-to-date with emerging Cloud and AI/ML technologies and industry trends to drive innovation and continuous improvement
• Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 7+ years of experience in cloud development, with a focus on application design and development.
• Proficiency in programming languages such as Java, Python, or Node.js.
• Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Experience building RESTful APIs and working with event-driven or serverless architectures.
• Experience with AI ML model integration, prompt engineering, or LLM APIs (OpenAI, Bedrock)
• Experience with Git, CI/CD pipelines, automated testing frameworks and DevOps practices.
• Experience with monitoring and logging tools like CloudWatch, Dynatrace, Datadog, Prometheus, Grafana, or ELK stack.
• Proficiency in data warehousing solutions like Snowflake and Iceberg and relational databases such as RDS or Oracle.
• Experience in Infrastructure as code (IAC) such as Terraform or equivalent
• Experience working with related technical frameworks Flyway, Spring, Spring Boot, Spring Integration, JMS, JDBC, Hibernate/JPA etc

• Experience in automation in any scripting languages such as python/groovy etc.
• Relevant certifications such as AWS Certified Developer, Microsoft Certified: Azure Developer, or Google Professional Cloud Developer
• Familiarity with database technologies such as SQL, NoSQL, and cloud-native databases.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Experience with building out loosely coupled software and familiarity with SOA/Microservices architectures