Sr Software Engineer

Mitratech

13h

About The Position

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance and HR functions of companies the world over. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available. Given our continued growth, we always have room for more intellect, energy and enthusiasm - join our global team and see why it's so special to be a part of Mitratech! The Senior Software Engineer is responsible for coding, testing and implementing products for our HRS Platform Team, which is increasingly focused on agentic and AI-driven engineering. This role is for engineers who have meaningfully adapted their day-to-day workflow (design, coding, testing and debugging) around AI-assisted and agentic development tools and who can bring that fluency to raise the bar for the broader team. Responsibilities include reviewing functional and technical requirements, performing research, designing solutions and developing code in a variety of programming languages for a Web + AI -based enterprise application.

Requirements

7+ years job experience in a software development/software engineer role.
Strong communication and interpersonal skills.
Self-reliant and motivated self-starter.
Ability to reason logically and provide innovative solutions.
Demonstrated, hands-on adoption of AI-assisted engineering tools (e.g., Claude Code, GitHub Copilot, Devin AI, or similar) as part of your regular workflow, able to speak concretely to how these tools have changed your approach to building software.
Understanding of how to properly manage agent instructions, skills and harnesses to get consistent, production-quality results from agentic tools.
Demonstrated proficiency with the following: Modern backend languages/stacks (e.g., Go, Java, Python, TypeScript/Node, Vanilla JS/PReact)
Web Services + REST API Design and implementation
RDBMS DDL & SQL
ORM frameworks
CSS
Cloud infrastructure (AWS preferred)
Authentication and Security protocols, including OAuth2 and OIDC protocols
Git
Continuous Integration
Predictable and quality delivery
Successful completion of projects where AI-assisted development tools were used to meaningfully accelerate delivery or improve quality.

Nice To Haves

Experience working in a Kanban environment.
Experience building or integrating LLM-powered features directly into a product (RAG, agents, tool use) and instrumenting them for observability.
Experience with infrastructure-as-code (Terraform) and platform engineering.
Bachelor's Degree in Computer Science.

Responsibilities

Create code that meets design specifications, follows standards, is of high quality and is easy to maintain.
Integrate AI-assisted development tools (e.g., AI code generation, agentic coding assistants, AI-powered code review and test generation) into daily engineering work to materially increase velocity and quality.
Manage and leverage context engineering and harness engineering to get reliable, high-quality output from agentic development tools.
Work with various teams in the organization to ensure appropriate project requirements are met.
Perform unit, automation and peer testing to ensure that the product is fully tested.
Ensure that all work is properly documented.
Ability to carry out all policies and procedures as established by the team, department, or company at large.
Provide training, give project demos and other presentations as needed.
Voluntary mentoring of others, including on effective and responsible use of AI development tools.
Writing and/or contributing to design documents.
Perform code reviews.
Lead or co-lead projects and design efforts as needed.
Provide input and proposals/recommendations for code refactoring, process improvements, technologies and tools, including emerging AI-driven development practices.