GG- 1386 Sr. Full Stack Engineer (TypeScript + AWS)

Softobiz; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Softobiz is looking for a Sr. Full Stack Engineer in Hyderabad, India, who specializes in TypeScript and AWS. The ideal candidate will have at least 8 years of experience in cloud services, database design, and be familiar with AI tools for development. Responsibilities include designing serverless architectures, delivering secure code, and collaborating across teams to drive product strategy. The company values diversity and promotes an inclusive environment.

Qualifications

• 8+ years of experience working with AWS cloud services.
• Strong skills in database design, encompassing relational, NoSQL, and OLAP databases.
• Proficient in modern testing frameworks like Jest, Cypress, Mocha, and Chai.

Responsibilities

• Design and implement serverless and containerised architectures on AWS.
• Deliver tested, secure, maintainable code using AI tools.
• Collaborate cross-functionally to shape product strategy.

Skills

TypeScript

AWS

React

JavaScript

MySQL/Postgres

AI tools

Education

Bachelor’s or master’s degree in computer science or related field

Tools

GitHub Copilot

AWS Lambda

Docker

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 Stack

• Application Stack: TypeScript, MySQL/Postgres, NestJs, TypeORM, Sequelize, React, React‑Native, etc.
• Cloud Technologies: AWS cloud with containerised and serverless services such as Lambda, Aurora Serverless, ECS, SQS, SNS.
• Orchestration Tooling: CloudFormation, CDK, Terraform.
• Developer Tooling: Local‑stack, local containerised environments, TDD/BDD, Scrum ceremonies.
• Observability: Datadog, AWS logging tools.

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, testing workflows, and deployment automation.
• Code Enhancement: AI‑assisted code review, optimisation, 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.
• Leverage LLMs (OpenAI, Claude) for code generation, review, and optimisation within development workflows.
• Validate and optimise AI‑generated code to meet security, performance and maintainability standards.
• Evaluate and integrate new AI tools that improve team productivity and development efficiency.
• Champion AI adoption across the engineering organisation through mentorship and best practice sharing.

Responsibilities

• Expert proficiency in TypeScript/JavaScript, frameworks such as React, NestJS and ORMs like TypeORM, Sequelize.
• Design and implement serverless and containerised architectures on AWS (Lambda, ECS, DynamoDB, SQS, API Gateway, etc.).
• Deliver thoroughly tested, secure and maintainable code using AI tools to enhance quality while prioritising 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 related field, or equivalent work experience.
• 8+ years of experience working with AWS cloud services, server‑side software development and design.
• 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, API Gateway.
• Familiarity with software design principles and 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 designing and implementing complex software solutions in cloud‑native environments.
• Experience working with Amazon AWS services (Lambda, SQS, API Gateway, CDK).

AI Development Proficiency

• 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 optimisation.
• Understanding of AI limitations and 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.
• Ability to work effectively in a team and independently when required.
• Experience 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 are 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 are 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 are energized by the opportunity to shape how an entire engineering organisation approaches AI‑enhanced software development.

Equal Opportunity Employer

Softobiz is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, colour, national origin, sex, age, disability, or marital status.