Lead Software Engineer - Java, Cloud, AI ML
Lead Software Engineer - Java, Cloud, AI ML
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Job Description
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 firms 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 yearsapplied 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 .
- Strong experience with cloud platforms like AWS Azure or Google Cloud Platform.
- Experience building RESTful APIs and working with event-drivenorserverless 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 likeCloudWatch Dynatrace DatadogPrometheus 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
Employment Type
Full-Time
