Sr Software Engineer - Typescript+AWS

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.

Our current stack include:

Technology we use

Current Stack

Application Stack: Typescript, MySQL/Postgres, NestJs, TypeORM, Sequelize, React, React-Native etc.

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 optimize 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

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 optimize 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:

Responsibilities

Technical Excellence

Expert proficiency in TypeScript/JavaScript, frameworks like React, NestJS and ORMs like TypeORM, Sequelize.

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 optimize cloud costs through intelligent automation, resulting in faster release cycles, reduced operational costs, and improved developer satisfaction.

Collaboration & Leadership

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

8+ years' experience working with AWS cloud services, server-side software development, emphasizing software design and object-oriented programming proficiency in JavaScript, including expertise in TypeScript, Node.js, and React

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)

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 optimization

Understanding of AI limitations with ability to validate, test, and optimize 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.

About Softobiz:

Innovation begins with like-minded people aiming to transform the world together. At Softobiz, we invite you to become a part of an organization that has been helping clients transform their business by fusing insights, creativity, and technology. With a team of 150+ technology enthusiasts, we have been trusted by leading enterprises around the globe for over 12+ years.

At Softobiz, we foster a culture of equality, learning, collaboration, and creative freedom, empowering our employees to grow and excel in their careers. Our technical craftsmen are pioneers in the latest technologies like AI, machine learning, and product development.