JPMorgan Lead Software Engineer AWS Data & AI 

United States, New Jersey, Jersey City 

83415736

You will be joining our advanced optimization engineering team, driving innovation in AI-powered compute optimization. This role will play a pivotal part in building scalable services and intelligent automation for optimizing large-scale data workloads running on cloud platforms like AWS EKS, AWS EMR, Databricks and Snowflake.

You will help shape the architecture, develop reusable SDKs, transform datasets and support AI/ML driven decision systems that improve cost efficiency and performance across heterogeneous environments.

Job responsibilities

• Execute creative software solutions, including design, development, and technical troubleshooting, with the ability to think beyond conventional approaches to build solutions or resolve technical problems
• Develop secure, high-quality production code, and review and debug code written by others
• Identify opportunities to eliminate or automate the remediation of recurring issues to enhance the overall operational stability of software applications and systems
• Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented assessments of architectural designs, technical credentials, and their applicability within existing systems and information architecture
• Lead communities of practice across Software Engineering to promote awareness and adoption of new and leading-edge technologies
• Contribute to a team culture of diversity, equity, inclusion, and respect
• Develop and deploy cloud infrastructure platforms that are secure, scalable, and optimized for AI and machine learning workloads
• Collaborate with AI teams to understand computational needs and translate these into infrastructure requirements
• Monitor, manage, and optimize cloud resources to maximize performance and minimize costs
• Design and implement continuous integration and delivery pipelines for machine learning workloads
• Develop automation scripts and infrastructure as code to streamline deployment and management tasks

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Advanced proficiency in one or more programming languages such as Python and/or Java
• Experience with AI/ML model integration, prompt engineering, or LLM APIs (OpenAI, Bedrock)
• Experience with AWS services (S3, EKS, Step Functions, Lambdas, RDS, API GW)
• Strong understanding of containerization and orchestration using Docker and Kubernetes
• Familiarity with data processing frameworks such as Apache Spark or Flink
• Experience building RESTful APIs and working with event-driven or serverless architectures
• Proficiency with Git, CI/CD pipelines, Terraform and automated testing frameworks
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Exposure to Snowflake, Databricks, EMR, or related data platforms
• Familiarity with metrics processing tools (CloudWatch, Dynatrace, Datadog)