• Work alongside team members to implement new technologies and systems within the GovTech sector, using Java as the main back-end technology stack • Contribute to the design and development of secure, scalable, and efficient solutions for public-sector digital transformation • Collaborate with your team and clients to identify the right technical approaches and deliver impactful results • Ensure code quality, performance, and reliability across the system architecture • Act as a trustworthy and proactive team player, communicating risks, challenges, and improvements early • Take part in R&D initiatives, exploring innovative tools and methods to enhance existing systems • Participate in code reviews, architecture discussions, and continuous improvement efforts • Support and mentor junior colleagues, helping them grow technically and professionally

• Architect comprehensive solutions that meet business requirements using a combination of technologies, including Java, cloud services, middleware and front end. • Lead initiatives to modernize legacy systems, integrating new technologies to enhance performance and scalability. • Provide guidance and mentorship to development teams, promoting best practices, and fostering a culture of innovation. • Research and Design monitoring strategies using tools such as New Relic, Grafana, or equivalent to proactively manage system health. • Lead investigation, implementation, and integration of feature flag frameworks for controlled rollouts and A/B testing. • Develop proofs of concept, reference architectures, and integration strategies. • Work across the aisle with cross-functional stakeholders, leads and other architects to define system needs, deliver optimal solutions and drive innovation. • Create, maintain, monitor and enforce technical modernization vision and roadmap for multiple related applications. • Identify opportunities for improvement and recommend best practices for implementations and custom solutions. • Explore and integrate technologies and market solutions to enhance system capabilities.

• Facilitate effective communication with client project stakeholders regarding project status and recommendations. • Craft client code that is not just efficient, but also performant, testable, scalable, secure, and of the highest quality. • Actively participate in accurate planning and estimation efforts, utilizing project methods and tools. • Proficiently gather requirements and organize/present developed features for clients. • Execute complex activities within the current methodology and quality standards, showcasing success across diverse engagements. • Promote client success across the team by collaborating with engineers, designers, and managers to understand user pain points, anticipate potential problems, and iterate on solutions that drive client success. • Engage in agile software development, including daily stand-ups, sprint planning, team retrospectives, and other governance activities. • Actively participate in the Engineering Practice community, mentoring others through Communities of Practice (CoPs) or on project teams, and supporting the growth of technical capabilities. • Independently drive project delivery within defined architecture, demonstrating autonomy and accountability in all stages from conceptualization to deployment.

• Contribute to the design and evolution of the AI orchestration layer, building durable, fault-tolerant agentic workflows using Temporal activities and ReAct reasoning loops powered by pydantic-ai and Claude. • Deliver features across their complete lifecycle — from design and prototyping through implementation, pytest/syrupy snapshot testing, GitLab CI/CD deployment via Octopus Deploy, and New Relic APM post-launch monitoring. • Uphold engineering excellence by conducting thorough code reviews, writing comprehensive tests (unit, integration, Playwright end-to-end), maintaining structlog observability, and upholding uv monorepo workspace standards. • Mentor mid-level and junior engineers in async Python best practices, pydantic-ai agent design, and clean, testable agentic architecture. • Collaborate closely with product managers, UX designers, legal domain experts, and frontend engineers to translate complex attorney workflows into reliable, high-impact AI-powered features. • Actively participate in cross-team planning, design reviews, sprint ceremonies, and AI platform standards discussions. • Communicate technical trade-offs, agentic design decisions, and reliability impacts clearly to both technical teams and non-technical stakeholders, while contributing to AI orchestration roadmap discussions.