Senior Full-Stack Engineer
Workana
We are looking for a senior engineer to join a brownfield product environment and help evolve a modern full-stack application with a strong focus on backend reliability, cloud architecture, and secure development practices.
As a Senior Full-Stack Engineer, you will build and maintain production software across the frontend and backend, with a primary focus on TypeScript , Node.js , and React/Next.js. You will work in an AWS-based environment and contribute to systems that must be reliable, secure, and maintainable at scale.
You should be comfortable navigating legacy or brownfield codebases, improving architecture incrementally, and collaborating closely with product and engineering stakeholders. Experience using AI coding tools is welcome, but only when paired with careful review and validation of the generated output.
Responsibilities
- Develop and maintain features across the stack using TypeScript , Node.js , React, and Next.js.
- Build and support backend services and cloud components in AWS , including Lambda , SQS, DynamoDB, and IAM.
- Improve system reliability, maintainability, and performance in an existing production codebase.
- Apply security-conscious development practices and support secure-by-default engineering decisions.
- Collaborate with product and technical stakeholders to deliver high-quality solutions.
- Review, validate, and refine AI-assisted code and tooling outputs before merging into production.
- Contribute to engineering best practices, code quality, and technical documentation.
Requirements
- 5+ years of production software engineering experience.
- Strong hands-on experience with TypeScript , Node.js , and React/Next.js.
- Proven experience with AWS services, especially Lambda , SQS, DynamoDB, and IAM.
- Experience working in brownfield or legacy codebases.
- Security-aware engineering mindset, with familiarity with NIST 800-53 or comparable security frameworks.
- Practical knowledge of AWS Security Hub , CIS benchmarks, or similar cloud security standards.
- Experience using AI coding tools critically, with emphasis on validation and sound engineering judgment.
- Bachelor’s degree in Computer Science or a related field.
Nice to Have
- Experience modernizing legacy systems incrementally.
- Familiarity with observability, testing strategy, and deployment pipelines.
- Experience in regulated or security-sensitive environments.
- Strong communication skills and a proactive, collaborative working style.
Benefits
- Compensation in USD.
- Fully remote work.
- Career growth opportunities in an international company.
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