Software Engineer III - DevOps

55 Institutional Partners, LLC; Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

JP Morgan Chase in Mumbai seeks a Software Engineer III to join the Asset and Wealth Management Technology and 55ip team. You will design and deliver secure, scalable tech products as part of an agile team, enabling automated infrastructure and robust application delivery.

You will practice secure coding, performance optimization, and collaboration across business functions while advancing operations with AI-assisted development tools and industry best practices.

Qualifications

• Formal training or certification in software engineering with 3+ years of applied experience.
• Strong with AWS services and infrastructure provisioning.
• Experience implementing CI/CD pipelines and automation.
• Proficient in containerized deployments and scripting (Python/Bash).
• Excellent communication and problem-solving skills.

Responsibilities

• Develop automation tools and scripts to manage infrastructure and security configurations.
• Implement CI/CD pipelines and automate release processes across environments.
• Provide technical support during software development and debugging.
• Maintain asset inventory and containerized apps using Docker.
• Provision and manage infrastructure with Terraform; ensure production readiness.
• Work with PostgreSQL and MongoDB; write Python/Bash scripts for ops tasks.
• Collaborate with architects; gather technical requirements and optimize costs.
• Use Git/Bitbucket, Jira, ServiceNow and pre-commit hooks for workflow efficiency.
• Configure AWS RDS/Aurora via Terraform; monitor with Datadog, Dynatrace, Grafana.
• Leverage AI-assisted coding tools while ensuring quality, security and peer reviews.

Skills

Automation

CI/CD

Python

Bash

AWS

Docker

Terraform

PostgreSQL

MongoDB

Git/Bitbucket

Jira

ServiceNow

Datadog

Dynatrace

Grafana

Education

Formal software engineering training or certification

Tools

Docker

Terraform

AWS (EC2, ECS, ELB, S3, Lambda, RDS/Aurora)

Jenkins

Spinnaker

Git/Bitbucket

Terraform

Datadog

Grafana

PostgreSQL

MongoDB

Job description

• Job Schedule Full time

Job Description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Asset and Wealth Management Technology and 55ip 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

• Develop automation tools / code scripts to stand-up and monitor infrastructure components and security configurations
• Implement CI and CD pipelines, thereby automating & improving stability of the release process, troubleshoot infrastructure and configuration issues across all environments.
• Provide technical support during software development. Assist development team in debugging environment specific issues
• Maintain & monitor asset inventory across all environments, Develop and maintain containerized applications using Docker
• Provision and manage infrastructure using advanced Terraform techniques, administer and optimize Linux-based environments. Ensure all-time “ON” state of production, CERT and testing environments
• Work with databases including PostgreSQL and MongoDB, and write scripts in Python and Bash for automation and operational tasks
• Assist in cost rationalization exercises, liaise with architects to gather and understand technicalrequirements
• Utilize development tools such as Git/BitBucket, Jira, ServiceNow, and pre-commit hooks for efficient workflow management, configure and implement AWS RDS and Aurora services using Terraform
• Monitor and troubleshoot systems using Splunk queries and monitoring tools such as Datadog, Dynatrace, or Grafana
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributions learnings and reusable patterns to improve broader team effectiveness.
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience.
• Expertise in administration of AWS Services like EC2, ECS, ELB, S3, Lambda, Postgres RDS/Aurora, ElastiCache, CodeDeploy, and CloudWatch.
• Experience with CI/CD best practices and implementations, with tools such as Jules, Jenkins and Spinnaker.
• Strong background in AWS services, infrastructure provisioning, and automation, with a passion for delivering high-quality solutions in a collaborative environment.
• Efficient in communicating effectively with team members and stakeholders, demonstrating strong analytical and problem-solving skills.
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Ability to maintain a high level of attention to detail, accountability, and pride in delivering quality work.
• Strong communication & interpersonal skills and ability to explain protocol and processes to the team.
• Excellent diagnostic abilities, proactively identifying potential issues before they escalation.

Preferred qualifications, capabilities, and skills

Experience working with messaging and caching frameworks such as Kafka, RabbitMQ, and Redis