Responsibilities:-
Lead the design, development, and implementation of scalable backend services using modern Java (17+) and cloud-native principles.
Own and evolve the automation and testing architecture, including functional, integration, API, and performance testing frameworks.
Define and enforce engineering best practices across development, testing, CI/CD, and deployment processes.
Design and implement event-driven architectures leveraging AWS services such as SQS, SNS, Lambda, Step Functions, and API Gateway.
Collaborate with cross-functional teams to develop and execute complex testing strategies across multiple systems and platforms.
Architect and implement CI/CD pipelines using tools such as Jenkins, Maven, and GitHub, ensuring code quality, coverage, and deployment guardrails.
Drive root cause analysis and collaborative defect resolution for both development and production incidents.
Develop automation tools, test utilities, simulators, data generators, and programmatic testing solutions.
Contribute to UI development using Angular or modern front-end frameworks as needed.
Design and optimize data models and persistence layers using PostgreSQL, Oracle, and NoSQL solutions.
Promote continuous improvement and innovation in software development, testing, and delivery practices.
Mentor team members and guide them in modern engineering practices, architecture, and quality engineering.
Communicate technical risks, testing progress, and project status clearly to stakeholders and leadership.
Partner with leadership to define the long-term technical vision and roadmap for the platform.
Required:
8+ years of experience in backend software development with strong expertise in Java.
Strong proficiency in modern Java (Java 17 or higher) and object-oriented design.
Hands-on experience designing and implementing scalable and distributed systems.
Deep understanding of testing strategies, including unit, integration, system, and performance testing.
Experience building or maintaining automation and test frameworks.
Strong working knowledge of CI/CD pipelines and DevOps practices.
Hands-on experience with AI-assisted development tools such as Amazon Q or similar platforms.
Hands-on experience with AWS services such as ECS, EC2, IAM, DynamoDB, and serverless architectures.
Experience designing event-driven systems using messaging and streaming patterns.
Strong SQL skills and experience with relational databases such as PostgreSQL and Oracle.
Experience with JPA, Hibernate, and data persistence frameworks.
Strong communication and collaboration skills, with the ability to influence teams and stakeholders.
Experience leading or mentoring engineers and driving engineering best practices.
Desirable:
Experience with Angular or other modern front-end frameworks.
Experience with Spring Boot and microservices architecture.
Exposure to NoSQL databases such as MongoDB or DocumentDB.
Experience with Python or additional programming languages.
Experience with AWS Cognito or identity and access management solutions.
Exposure to AWS Bedrock or agentic AI architectures.
AWS certifications.
Experience in enterprise-scale or high-growth startup environments
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