Sr. Full Stack Engineer (TypeScript + AWS)

Softobiz; Hyderabad; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Softobiz seeks a Sr. Full Stack Engineer (TypeScript + AWS) to lead the design, development and deployment of our next-generation platform.

You will architect serverless and containerised solutions on AWS, using AI-powered workflows to accelerate delivery and maintain high quality. Collaborating with cross-functional teams, you will mentor peers, ensure robust testing, and maintain comprehensive documentation while leveraging AI agents and LLMs to optimize code generation, review, and

Qualifications

• Bachelor’s or Master’s in Computer Science / Software Engineering or equivalent work experience.
• Strong TypeScript and AWS experience with serverless patterns.
• Experience using AI-enabled development tools and modern testing frameworks.
• Proficiency with CI/CD pipelines and cloud-native observability.

Responsibilities

• Design and implement serverless and containerised architectures on AWS.
• Deliver thoroughly tested, secure, and maintainable code with AI tool support.
• Troubleshoot complex codebases and mentor team members.
• Maintain comprehensive documentation and drive automation initiatives.

Skills

TypeScript

AWS

AI tooling

CI/CD

Frontend & Backend

Education

Bachelor's or Master's in Computer Science / Software Engineering

Tools

CloudFormation

CDK

Terraform

Datadog

Local-stack

Job description

Job Description – Sr. Full Stack Engineer (TypeScript + AWS)

Purpose of Position

Our growing team is searching for a talented next-generation Sr. Full Stack Software Engineer who excels at leveraging AI tools to build high-quality software faster and more efficiently. You will play a pivotal role in the design, development, and implementation of our next-generation platform while mastering AI-powered development workflows

We are seeking a highly motivated and results-oriented engineer with a proven track record in both traditional software engineering and AI-enhanced development practices. You will work within one of our cross-functional teams to deliver cutting-edge solutions that empower our engineering organization to achieve unparalleled performance and agility through intelligent automation.

Technology we use

Current Stack

• Cloud Technologies: AWS cloud with containerised and serverless services like Lambda, Aurora Serverless, ECS, SQS, SNS etc.
• Orchestration Tooling: Infrastructure using CloudFormation, application orchestration through CDK, and process automation through Terraform.
• Developer Tooling: Local-stack and local containerised environments. TDD and BDD methodologies with full Scrum ceremonies.
• Observability: Datadog integrated into our workflow, plus AWS logging tools for comprehensive insights.

AI Development Ecosystem

• AI-Powered IDEs: GitHub Copilot integration in VS Code, Cursor IDE with OpenAI and Claude Sonnet
• AI Agents: Custom automation agents for repetitive development tasks, boilerplate generation, and testing workflows
• Code Enhancement: AI-assisted code review, optimization, and refactoring tools
• Testing Automation: AI-enhanced test generation and coverage analysis
• Documentation: AI-powered technical documentation generation and maintenance
• Master AI development tools to accelerate delivery velocity while maintaining exceptional code quality standards
• Design and implement AI agent workflows for automating repetitive tasks like boilerplate generation, testing, and deployment automation
• Leverage LLMs effectively (OpenAI, Claude Sonnet) for code generation, review, and optimization within development workflows
• Validate and optimise AI-generated code ensuring it meets security, performance, and maintainability standards
• Evaluate and integrate new AI tools that can improve team productivity and development efficiency
• Champion AI adoption across the engineering organization through mentorship and best practice sharing

Responsibilities

Responsibilities include, but are not limited to:

Technical Excellence

• Design and implement serverless and containerised architectures on AWS, utilizing Lambda, ECS, DynamoDB, SQS, API Gateway and other AWS services
• Deliver thoroughly tested, secure, and maintainable code using AI tools to enhance quality while prioritizing customer needs
• Deep-dive troubleshooting through complex codebases and business flows, leveraging AI-assisted debugging techniques
• BAU Support for critical and escalated issues with AI-enhanced diagnostic capabilities
• Maintain 100% automation coverage of core build and deploy pipelines using cloud-native services and containers
• Lead automation initiatives to streamline processes, improve efficiencies and optimise cloud costs through intelligent automation, resulting in faster release cycles, reduced operational costs, and improved developer satisfaction.
• Collaborate cross-functionally with product, design, and engineering teams to shape product strategy and direction
• Maintain comprehensive documentation of application architectures, design decisions, and AI tool integration strategies
• Translate business requirements into technical roadmaps and technology solutions that support business strategies
• Ensure technical delivery excellence meeting quality and timeline expectations on all projects
• Mentor and elevate team members on both traditional engineering skills and AI tool proficiency
• Share knowledge actively on effective AI development practices and emerging tool capabilities

Essential Requirements & Behaviour

Technical Foundation

• Bachelor's or master's degree in computer science, Software Engineering, or a related field, or equivalent work experience
• Strong skills in database design, encompassing relational, NoSQL, and OLAP databases
• Extensive hands-on experience with cloud platforms and serverless environments, such as Lambda, DynamoDB, S3, and API Gateway
• Familiarity with software design principles, including Agile methodologies
• Proficient in modern testing frameworks like Jest, Cypress, Mocha, and Chai within a test-driven development framework
• Comprehensive understanding of front-end architecture and principles of data-driven development
• Solid experience in designing and implementing complex software solutions in cloud native environment
• Experience working with Amazon AWS services like AWS Lambda, SQS, API Gateway, CDK (see tech stack above)
• Demonstrated expertise in AI-powered development environments (GitHub Copilot, Cursor IDE, or similar)
• Proven experience building and deploying AI agents for development automation and repetitive task management
• Strong proficiency in leveraging LLMs (OpenAI, Claude) for code generation, review, and optimization
• Understanding of AI limitations with ability to validate, test, and optimise AI-generated code effectively
• Experience with prompt engineering for development-specific AI interactions and workflow automation
• Track record of improving development velocity and code quality through strategic AI tool adoption
• Knowledge of AI development best practices including responsible AI usage, bias detection, and quality assurance

Professional Skills

• Exceptional communication skills, capable of presenting complex technical concepts clearly and concisely to both technical and non-technical audiences
• Able to work effectively in a team, as well as independently when required
• Working with offshore teams is desirable
• Mentorship capabilities for guiding team members on both traditional engineering and AI-enhanced development practices

Certifications (Highly Desirable)

• AWS certification is highly desirable but not mandatory
• ITIL certification is highly desirable but not mandatory
• AI/ML development certifications or demonstrable AI tool expertise

What Makes You Ideal

You're passionate about leveraging AI to solve complex problems faster without compromising quality. You see AI tools as powerful force multipliers that enhance human creativity and engineering judgment. You're excited about mentoring others on AI adoption and contributing to building a culture of intelligent automation and continuous innovation.

You thrive in fast-paced environments where technology moves quickly, and you're energized by the opportunity to shape how an entire engineering organization approaches AI-enhanced software development.