Senior Software Engineer

Mahaana is seeking a Senior Software Engineer to join our team and contribute to building and delivering software through a modern, AI-assisted development workflow. In this role, you will work from clear, well-defined specifications and leverage AI coding tools such as Claude Code and Cursor to design, implement, test, and release features across our codebase. This hands-on position demands strong technical judgment, ownership, and a commitment to engineering quality. You will be responsible for technical outcomes from specification through to production, help establish engineering standards for AI tool usage, and mentor colleagues in adopting these practices. While prior experience with AI coding tools is beneficial, curiosity and a willingness to develop expertise in AI-assisted development are essential.

Key Responsibilities
- Translate approved requirements into detailed technical plans, identifying impacted repositories, services, data models, and fields, and document approaches for engineers and AI agents to follow reliably.
- Design, develop, and review features using AI coding assistants to accelerate implementation, unit testing, and refactoring.
- Critically evaluate AI-generated code for correctness, security, performance, and maintainability, ensuring it meets engineering standards before merging.
- Own the quality of delivered software, including unit and integration tests, collaborating with QA to verify that implementations meet requirements.
- Contribute to CI/CD pipelines and infrastructure-as-code, and assist in diagnosing issues via staging logs and monitoring tools.
- Collaborate closely with Technical Business Analysts, designers, and Product Owners to clarify requirements and identify risks or gaps early in the process.
- Define and document team practices, including prompt conventions, repository guidelines for AI agents, code review standards, and safe-use policies.
- Mentor other engineers and share knowledge about effective AI development tool usage.

Required Qualifications
- Minimum of 5 years of professional software engineering experience with a proven track record of shipping and maintaining production systems.
- Strong proficiency in at least one backend language and framework relevant to our stack, particularly Python or .NET, with solid fundamentals in APIs, databases, and system design.
- Experience reading, reviewing, and improving codebases, including large or unfamiliar ones.
- Good architectural judgment and ability to clearly communicate technical trade-offs in writing.
- Working knowledge of automated testing, Git workflows, and CI/CD processes.
- Hands-on experience with AI coding tools such as Claude Code, Cursor, or GitHub Copilot.
- Strong security awareness, including responsible handling of sensitive data.
- Experience with Microsoft Azure Cloud and infrastructure-as-code tools like Terraform or CloudFormation.

Preferred Qualifications
- Familiarity with containerization, orchestration, and observability tools.
- Experience with React Native mobile development.
- Ability to work across multiple repositories or services simultaneously.
- Previous experience in regulated environments, such as financial services.
- Knowledge of MCP (Model Context Protocol) or similar AI agent integration tools.
- Experience with design-to-code workflows and tools such as Figma.

How We Work
Requirements are clearly defined and approved by stakeholders, with acceptance confirmed upon delivery. Engineers are encouraged to use AI tools wherever they add value, while maintaining accountability for the code that ships. We develop and test using anonymized, realistic staging data; AI agents do not have access to production data. We value engineers who contribute broadly across backend, infrastructure, data, and product domains, offering diverse opportunities for growth.

Compensation & Benefits
We offer a competitive salary package with annual performance-based increments. Support is provided for relevant technical certifications, professional development programs, and industry-related learning opportunities such as workshops and conferences. Health and life insurance coverage, EOBI registration and contributions, and paid annual, casual, and sick leaves are included. Flexible work-from-home arrangements are available subject to company policy. You will have the opportunity to work with modern technologies, influence architectural decisions, and take ownership of key technical projects, all within a culture that promotes continuous learning and career growth.