Lead Software Engineer - Java, AWS, AI/ML

Lead Software Engineer - Java, AWS,AI

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 Bank's Post Trade Tech 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
• With at least, 7+ years of experience in cloud development, with a focus on application design and development.
• 3+ years of experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AI
• Experience in Java, SpringBoot, Spring Integration, JMS
• Strong experience with cloud platforms like AWS /Azure/Google Cloud Platform and understanding of the cloud best practices
• Experience building RESTful APIs and working with event-driven or serverless architectures.
• 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

 

Preferred qualifications, capabilities, and skills

• 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 

Experience Level

Senior Level