Lead Software Engineer - DevOps AWS

JPMorganChase; Hyderabad; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer in Hyderabad to drive design, development, and deployment of secure, scalable technology in a fast-paced agile environment. You will lead critical backend solutions using Python/Java, Databricks, and AWS, while championing AI-assisted engineering practices and robust testing strategies.

You will contribute to data pipelines, code reviews, and architecture discussions with internal teams and external partners, ensuring resilient software delivery

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity and secure handling
• Proficient in all aspects of the Software Development Life Cycle
• Strong Python/Java and experience with distributed data processing
• Hands on AWS services like Glue, ECS, EKS, API Gateway, S3, Lambda, EMR; strong AWS networking and security fundamentals
• Hands on DevOps: Kubernetes, Docker, CI/CD, Spinnaker; deployment automation and release management
• Hands on Databricks: Spark, Delta, GraphQL, notebooks, workflows/jobs, performance tuning

Responsibilities

• Executes creative software solutions, design, development, and debugging with non-routine approaches
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of AI-assisted engineering practices to improve quality, speed, and operations with validated standards
• Applies SDLC toolchain knowledge to improve automation value and outcomes
• Identifies opportunities to automate remediation to improve operational stability
• Leads evaluation sessions with vendors and internal teams on architecture feasibility
• Develop scalable feature engineering and data pipelines on Databricks using data lake data

Skills

Python

Java

Distributed processing

AWS

Databricks

Spark

Delta Lake

GraphQL

Notebooks

Kubernetes

Docker

CI/CD

Spinnaker

Security

Code review

AI-assisted tools

Agile

Tools

AWS Glue

AWS ECS

AWS EKS

API Gateway

S3

Lambda

EMR

Spinnaker

Databricks

Docker

Kubernetes

Job description

Job Description:

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Develop scalable feature engineering and data pipelines on Databricks (Spark/Delta, workflows/jobs) using data from the data lake.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
  Hands-on practical experience delivering system design, application development, testing, and operational stability
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Proficient in all aspects of the Software Development Life Cycle
• Strong Python/Java and experience with distributed data processing
• Hands on AWS services like Glue, ECS, EKS, API Gateway, S3, Lambda, EMR; strong AWS networking and security fundamentals.
• Hands on DevOps : Kubernetes, Docker, CI/CD, Spinnaker; deployment automation and release management.
• Hands on Databricks: Spark, Delta, GraphQL, notebooks, workflows/jobs, performance tuning.

Preferred qualifications, capabilities, and skills

• Experience of communicating and engaging with senior leadership/stakeholders
• Preferred AWS - streaming and batch application building and supporting end to end.
• Familiarity with API and Micro services frameworks, Container Technologies, and workflows