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JPMorganChase

Lead Software Engineer - Java, Cloud, AI ML

Posted Yesterday
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Hybrid
Mumbai, Maharashtra
Senior level
Hybrid
Mumbai, Maharashtra
Senior level
The Lead Software Engineer will design and deliver cloud-based applications, optimize performance, and lead software engineering practices, with a focus on AI and ML technologies.
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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 Bank's 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

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

Top Skills

AWS
Azure
Cloudwatch
Datadog
Docker
Dynatrace
Elk Stack
Google Cloud Platform
Grafana
Iceberg
Java
Kubernetes
Node.js
Openai
Oracle
Prometheus
Python
Rds
Restful Apis
Snowflake
Terraform

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