Lead Software Engineer - Java, AWS,AI
JP Morgan
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 systemsParticipate 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 improvementLead 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 experienceWith 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 AIExperience in Java, SpringBoot, Spring Integration, JMSStrong experience with cloud platforms like AWS /Azure/Google Cloud Platform and understanding of the cloud best practicesExperience 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 DeveloperFamiliarity 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
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