GG- 1386 Sr. Full Stack Engineer (TypeScript + AWS)
ESP Engineered
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Job summary
Qualifications
- 7+ years of experience in software engineering.
- Proficient in modern testing frameworks like Jest, Cypress, Mocha.
- Experience with AI-powered development tools.
Responsibilities
- Design and implement serverless architectures on AWS.
- Deliver thoroughly tested and maintainable code using AI tools.
- Collaborate cross-functionally with teams to shape product strategy.
Skills
Education
Tools
Job description
7+ years
Full-Time
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.
- 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‑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, 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.
- 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 optimisation within development workflows.
- Validate and optimise AI‑generated code ensuring it meets security, performance, and maintainability standards.
- Evaluate and integrate new AI tools that may improve team productivity and development efficiency.
- Champion AI adoption across the engineering organisation through mentorship and best practice sharing.
Responsibilities include, but are not limited to:
- Design and implement serverless and containerised architectures on AWS, utilising Lambda, ECS, DynamoDB, SQS, API Gateway and other AWS services.
- 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.
- 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.
- 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 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.
- 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.
- 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.
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 judgement. 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 organisation approaches AI‑enhanced software development.
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, color, national origin, sex, age, disability or marital status.
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