M41 - Full Stack Engineer

Key Responsibilities

Full Stack Engineering & Technical Ownership

• Lead the end-to-end design, development, and delivery of complex software features and applications.
• Build scalable, secure, reliable, and maintainable full-stack solutions.
• Take an active role in architectural discussions and technical decision-making.
• Ensure technical designs align with long-term product and organizational goals.
• Maintain high standards for code quality, performance, security, testing, and documentation.

GenAI & AI-Driven Development

• Design and develop AI-powered features using Generative AI technologies.
• Build solutions involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and related AI patterns.
• Develop and integrate AI-related backend services using TypeScript and Python.
• Evaluate and apply modern AI engineering approaches to real-world business and legal use cases.

Cloud, Infrastructure & DevOps

• Design, deploy, and maintain solutions on Amazon Web Services (AWS).
• Develop and manage Infrastructure as Code (IaC) using Terraform.
• Design and maintain CI/CD pipelines using GitLab CI within the SHIP-HATS ecosystem.
• Contribute to technical plans and infrastructure roadmaps.
• Ensure systems meet high standards of availability, scalability, reliability, and security.

Engineering Excellence & Leadership

• Drive modern software engineering standards, practices, and tooling.
• Promote reusable, maintainable, and well-documented engineering solutions.
• Mentor junior engineers and support knowledge sharing across the team.
• Help strengthen a collaborative and high-performing engineering culture.
• Contribute to technical direction and continuous improvement initiatives.

Stakeholder Collaboration

• Work closely with product owners, legal professionals, vendors, technical teams, and senior leadership.
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Independently manage technical dependencies, risks, and cross-team coordination.
• Navigate ambiguity, create structure, and drive initiatives forward with minimal supervision.

Requirements

Technical Experience

• At least 7 years of professional software engineering experience.
• Proven experience building and maintaining large-scale, high-availability software systems.
• Strong experience in modern full-stack web application architecture and development.
• Strong proficiency in JavaScript and TypeScript for frontend development.
• Strong proficiency in TypeScript and Python for backend and AI-related development.
• Hands-on experience in Generative AI development, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI-powered application features.
• Strong hands-on experience with AWS infrastructure and cloud services.
• Proficiency in Terraform for Infrastructure as Code.
• Experience designing and maintaining CI/CD pipelines using GitLab CI.
• Experience working within the SHIP-HATS ecosystem is highly desirable.

Leadership & Professional Skills

• Strong technical ownership and engineering maturity.
• Excellent communication and stakeholder management skills.
• Ability to explain complex technical concepts to non-technical audiences.
• Comfortable working in ambiguous and high-stakes environments.
• Strong mentoring and knowledge-sharing mindset.
• Strong focus on engineering craftsmanship, performance, reliability, and clean code.
• Collaborative and proactive approach to problem-solving.

Good to Have

• Experience working in the public sector, legal sector, or highly regulated environments.
• Experience delivering systems with strict security, governance, and reliability requirements.
• Strong interest in legal technology, digital government, and public-sector transformation.
• Experience influencing technical direction, engineering standards, and infrastructure roadmaps.

What We Value

• Intellectual curiosity and a desire to understand the why behind problems.
• Bias for action and willingness to test, iterate, and drive progress.
• Strong collaboration across engineering, product, domain experts, and leadership.
• Commitment to clean, secure, reliable, and well-documented software.
• Motivation to build technology that contributes to the public good.