Manager of Software Engineering - Java, AWS

JPMorgan Chase & Co.; Mumbai; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai seeks a Manager of Software Engineering - Java, AWS to lead multiple teams, drive day-to-day AWS cloud initiatives, and ensure compliant, high‑quality delivery.

You will guide architecture, collaborate with product groups, and own platform performance across cloud environments. The role requires strong Java and AWS expertise, experience with Kubernetes and DevOps, and a focus on secure, scalable financial‑grade software with cost optimization and rigorous SDLC

Qualifications

• Formal training or certification in software engineering concepts and 5+ years applied experience.
• A strong understanding of architecture design, performance and monitoring, best practices.
• Design and building web environments on AWS, including EC2, ELB, RDS, DynamoDB, EKS, ECS, MFTS, SQS/SNS, S3 and Route53.
• Proficiency with modern tech such as Java 8+, Spring Boot, Restful Microservices, AWS or Cloud Foundry, Kubernetes.
• Experience using DevOps tools in cloud environments (Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, SonarQube).
• Experience with monitoring solutions (CloudWatch, Prometheus, Datadog, Splunk, Dynatrace) and IaC (CloudFormation, Terraform).
• Experience with AWS, GCP, Azure; high-volume, SLA-critical apps; event-driven architectures.
• Understanding of financial IT systems and optimizing Public Cloud costs.
• Experience leading enterprise AI-assisted development and delivery tools across teams, with human-validated data handling.
• Understanding responsible AI use, data sensitivity, resiliency, security and governance.

Responsibilities

• Lead complex public cloud migrations, identify issues, and implement risk mitigation for multiple cloud initiatives.
• Collaborate with product and engineering teams to deliver robust, cloud-based solutions.
• Own platform issues end-to-end, address build and performance on AWS, and ensure high-quality deliverables.
• Develop guidance for product teams on cloud onboarding standards and compliance with regulatory requirements.
• Drive adoption of AWS services (EC2, S3, RDS, CloudFront, EFS, DynamoDB, CloudWatch, EKS, ECS, MFTS, API Gateway, VPC).
• Design resilient, secure, high-performance public cloud platforms following JPMorgan Chase best practices.
• Measure and optimize system performance, provide operational support, and automate routine tasks.
• Work with cross-functional teams to deliver practical solutions and positive user experiences.
• Organize game days, resiliency tests, and chaos engineering exercises.
• Coach engineers on secure and compliant use of AI-assisted development tools and patterns.

Skills

Java 8+

Spring Boot

RESTful Microservices

AWS

Kubernetes

DevOps

CI/CD

SQL/NoSQL

Tools

Docker

Kubernetes

Terraform

CloudFormation

Ansible

Jenkins

GitHub

Maven

SonarQube

Prometheus

Datadog

Splunk

Dynatrace

Job description

Manager of Software Engineering - Java, AWS

Job Information

• Job Identification 210717933
• Job Category Software Engineering
• Business Unit Consumer & Community Banking
• Locations Nirlon Knowledge Park, Western Express Highway, Goregaon (East), Mumbai, IN-MH, 400063, IN
• Job Schedule Full time

Job Description

This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.

As a Manager of Software Engineering at JPMorganChase within the Consumer and Community Banking , youlead multiple teams and manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.

Job responsibilities

• Lead complex public cloud migrations, proactively identify potential issues, and implement risk mitigation strategies to ensure the success of multiple cloud initiatives.
• Collaborate with product and engineering teams to deliver robust, cloud-based solutions that improve customer experiences.
• Take ownership of platform issues from end to end, resolve challenges related to platform build and performance on AWS Cloud, and ensure high-quality, bug‑free deliverables.
• Develop strategies and provide guidance to product teams on public cloud onboarding standards and best practices, ensuring migrations are successful and compliant with all regulatory requirements.
• Drive the adoption and effective use of Amazon’s utility computing services (e.g., AWS EC2, S3, RDS, CloudFront, EFS, DynamoDB, CloudWatch, EKS, ECS, MFTS, API Gateway, VPC Peering).
• Design resilient, secure, and high-performance platforms in the public cloud, following JPMC best practices.
• Measure and optimize system performance, anticipate customer needs, and drive continuous innovation. Provide operational support and engineering for the public cloud platform, troubleshoot and optimize systems, and automate routine tasks.
• Work closely with cross-functional teams to develop practical solutions and ensure positive user experiences at every touchpoint. Manage costs by designing and optimizing public cloud platforms and technologies. Organize and lead game days, resiliency tests, and chaos engineering exercises.
• Apply expertise in programming languages such as Java, Python, SQL, Node, Go, and Scala; work with open source RDBMS and NoSQL databases; utilize container orchestration tools like Docker and Kubernetes; and leverage a wide range of AWS services.
• Leads team adoption of enterprise-authorized AI‑assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI‑assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5 years applied experience
• A strong understanding of business technology drivers and their impact on architecture design, performance and monitoring, best practices
• Design and building web environments on AWS, which includes working with services like EC2, ELB, RDS, DynamoDB, EKS, ECS, MFTS, SQS/SNS, S3 and Route53
• Proficiency in few modern technologies such as: Java version 8+, Spring Boot, Restful Microservices, AWS or Cloud Foundry, Kubernetes.
• Experience using DevOps tools in a cloud environment, such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, and Sonar Qube
• Experience using monitoring solutions like CloudWatch, Prometheus, Datadog, Splunk, Dynatrace. Experience and knowledge of writing Infrastructure‑as‑Code (IaC), using tools like CloudFormation or Terraform
• Experience with one or more public cloud platforms like AWS, GCP, Azure
• Experience with high volume, SLA critical applications and their interdependencies with other applications and databases. Experience with high volume, mission critical applications, and building upon messaging and or event‑driven architectures
• Keen understanding of financial industry and their IT systems and optimization of Public Cloud expenses
• Experience leading responsible adoption of enterprise-authorized AI‑assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.