Software Engineer (Java)

We are seeking a highly skilled, hands-on Lead Software Engineer to drive the design and development of scalable, cloud-native applications. This is a senior individual contributor role for an engineer who combines strong backend development expertise with cloud architecture and DevOps capabilities., Design, build, and maintain scalable backend services using Java (Spring Boot) and Python

Architect and develop cloud-native applications on AWS, leveraging serverless and event-driven patterns

Build and optimize workflows using AWS Lambda, Step Functions, SQS, and SNS

Establish and enhance CI/CD pipelines, deployment automation, and DevOps best practices

Lead code reviews and ensure standards for performance, scalability, and security

Collaborate with architects and cross-functional stakeholders to define and deliver technical solutions

Leverage AI-assisted development tools (e.g., code generation, testing automation, debugging support) to accelerate delivery and improve code quality

Drive continuous improvement across engineering practices, tooling, and system design

The ideal candidate brings deep experience in Java and Python, a strong foundation in AWS serverless architectures, and a track record of building and modernizing distributed systems at scale. This role also requires experience leveraging AI-assisted development tools to improve engineering productivity, code quality, and delivery speed., Technical Expertise

10 years of experience in Java development (Java 8 , Spring Boot)

3 years of hands-on Python development (Python 3.x)

Strong experience building microservices and distributed systems

Cloud & AWS

3 years of experience building applications on AWS

Hands-on expertise with:

AWS Lambda

Step Functions (workflow orchestration)

SQS and SNS (event-driven architecture)

Experience designing serverless and event-driven systems

DevOps & Engineering Practices

Strong experience with CI/CD pipelines (Jenkins or similar)

Experience with Docker and container-based deployments

Familiarity with infrastructure automation and deployment best practices

Leadership & Impact

Proven ability to lead technical design and architectural decisions

Strong debugging, problem-solving, and performance optimization skills

Experience mentoring engineers and elevating team standards

Strong communication skills with both technical and non-technical stakeholders

Experience working in Agile/Scrum environments

Preferred (Nice to Have)

Experience integrating AI/ML capabilities into applications

Familiarity with tools such as Amazon Bedrock, LangChain, or similar AI frameworks

Experience using AI coding assistants (e.g., GitHub Copilot, Amazon Q, or similar) in day-to-day development