Job Openings M41 - Full Stack Engineer

About the job 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.

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