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Software Engineer II - Terraform, AWS, Python

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 7 days ago

No clicks

**Software Engineer II - Terraform, AWS, Python** at JPMorgan Chase in Bengaluru, India, develops and maintains secure, scalable microservices and infrastructure on AWS using Terraform. Proficiency in Python, AWS services, and CI/CD is required for this intermediate role. Collaborate cross-functionally to drive projects, manage risks, and optimize performance. Apply today for this career growth opportunity.

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Full Job Description

Location: Bengaluru, Karnataka, India

Youre ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Asset & Wealth Management, you are part of an agile team that works to enhance, design, and deliver the software components of the firms state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

 

  • Develops Python services, APIs, and tooling to improve CI/CD, deployment orchestration, and developer productivity on AWS
  • Builds scalable, secure microservices and batch workflows using AWS services; ensure best practices for networking, identity, and security
  • Owns infrastructure as Code with Terraform (modules, state management, environments); establish standards, reviews, and automation for plans/apply
  • Builds integrations with enterprise systems and AWS services in Python; create reusable SDKs, CLI tools, templates, and libraries
  • Implements policy-as-code, audit logging, compliance controls; enforce RBAC and secure secrets handling across applications and infrastructure
  • Optimizes deployment strategies (canary, blue/green), rollbacks, approvals, and gates within CI/CD pipelines
  • Drives automated testing (unit, integration, contract) with Python frameworks; manage test data and continuous quality gates. 

    Ensures reliability and observability with logging, metrics, tracing, alerts; define SLOs and error budgets

  • Implements performance tuning and cost optimization across compute, storage, and networking
  • Collaborates with product, platform, security, and SRE teams
  • Contributes to roadmap, estimation, and delivery plans; manage technical risk, debt, and cross-team dependencies

 

 

Required qualifications, capabilities, and skills

 

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Proficiency in full stack development and strong experience with CI/CD platforms
  • In-depth experience designing, deploying, and managing solutions on AWS, including VPC, IAM, EC2, S3, Lambda, and networking/security best practices
  • Hands-on expertise with infrastructure-as-code using Terraform for provisioning and managing cloud resources
  • Proficient in containerization with Docker, including building, optimizing, and securing container images. 

    Strong background in orchestrating and scaling workloads using Kubernetes RBAC, and cluster management

  • Familiarity with multi-cloud environments (AWS, Azure, GCP) and integrating cloud-native services into CI/CD pipelines. 

    Expertise in pipeline design, deployment strategies, and release governance in regulated environments

  • Must have a security-first mindset, secrets management, RBAC, OIDC/SAML, compliance, audit, and policy-as-code (OPA)
  • Proficiency on observability; logs, metrics, tracing (Datadog, Splunk, Prometheus, OpenTelemetry)
  • Strong architectural design, documentation, and stakeholder communication skills

 

 

Preferred qualifications, capabilities, and skills

 

  • Experience with Agentic AI or integrating AI/ML models into CI/CD workflows. 

    Familiarity with AI-driven automation, intelligent agents, or LLM-based developer tools

  • Experience with API Gateway, container orchestration, serverless architectures, and Terraform Cloud/Enterprise
  • Knowledge of security best practices in AWS, especially as they relate to AI/ML workloads. 

    Exposure to prompt engineering, AI workflow orchestration, or embedding AI stages in the SDLC

  • Interest in continuous learning and experimentation with emerging AI technologies in software engineering
Serve as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable way

Software Engineer II - Terraform, AWS, Python

Compensation

Not specified

City: Bengaluru

Country: India

J.P. Morgan logo
Bulge Bracket Investment Banks

7 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Software Engineer II - Terraform, AWS, Python** at JPMorgan Chase in Bengaluru, India, develops and maintains secure, scalable microservices and infrastructure on AWS using Terraform. Proficiency in Python, AWS services, and CI/CD is required for this intermediate role. Collaborate cross-functionally to drive projects, manage risks, and optimize performance. Apply today for this career growth opportunity.

Full Job Description

Location: Bengaluru, Karnataka, India

Youre ready to gain the skills and experience needed to grow within your role and advance your career and we have the perfect software engineering opportunity for you.

As a Software Engineer II at JPMorgan Chase within the Asset & Wealth Management, you are part of an agile team that works to enhance, design, and deliver the software components of the firms state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.

Job responsibilities

 

  • Develops Python services, APIs, and tooling to improve CI/CD, deployment orchestration, and developer productivity on AWS
  • Builds scalable, secure microservices and batch workflows using AWS services; ensure best practices for networking, identity, and security
  • Owns infrastructure as Code with Terraform (modules, state management, environments); establish standards, reviews, and automation for plans/apply
  • Builds integrations with enterprise systems and AWS services in Python; create reusable SDKs, CLI tools, templates, and libraries
  • Implements policy-as-code, audit logging, compliance controls; enforce RBAC and secure secrets handling across applications and infrastructure
  • Optimizes deployment strategies (canary, blue/green), rollbacks, approvals, and gates within CI/CD pipelines
  • Drives automated testing (unit, integration, contract) with Python frameworks; manage test data and continuous quality gates. 

    Ensures reliability and observability with logging, metrics, tracing, alerts; define SLOs and error budgets

  • Implements performance tuning and cost optimization across compute, storage, and networking
  • Collaborates with product, platform, security, and SRE teams
  • Contributes to roadmap, estimation, and delivery plans; manage technical risk, debt, and cross-team dependencies

 

 

Required qualifications, capabilities, and skills

 

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • Proficiency in full stack development and strong experience with CI/CD platforms
  • In-depth experience designing, deploying, and managing solutions on AWS, including VPC, IAM, EC2, S3, Lambda, and networking/security best practices
  • Hands-on expertise with infrastructure-as-code using Terraform for provisioning and managing cloud resources
  • Proficient in containerization with Docker, including building, optimizing, and securing container images. 

    Strong background in orchestrating and scaling workloads using Kubernetes RBAC, and cluster management

  • Familiarity with multi-cloud environments (AWS, Azure, GCP) and integrating cloud-native services into CI/CD pipelines. 

    Expertise in pipeline design, deployment strategies, and release governance in regulated environments

  • Must have a security-first mindset, secrets management, RBAC, OIDC/SAML, compliance, audit, and policy-as-code (OPA)
  • Proficiency on observability; logs, metrics, tracing (Datadog, Splunk, Prometheus, OpenTelemetry)
  • Strong architectural design, documentation, and stakeholder communication skills

 

 

Preferred qualifications, capabilities, and skills

 

  • Experience with Agentic AI or integrating AI/ML models into CI/CD workflows. 

    Familiarity with AI-driven automation, intelligent agents, or LLM-based developer tools

  • Experience with API Gateway, container orchestration, serverless architectures, and Terraform Cloud/Enterprise
  • Knowledge of security best practices in AWS, especially as they relate to AI/ML workloads. 

    Exposure to prompt engineering, AI workflow orchestration, or embedding AI stages in the SDLC

  • Interest in continuous learning and experimentation with emerging AI technologies in software engineering
Serve as an emerging member of an agile team to design and deliver market-leading technology products in a secure and scalable way