• Design, build, and maintain scalable, secure, and resilient platforms. • Treat cloud infrastructure as a product and internal developers as customers. • Build self-service tooling, automated guardrails, and platform experience for engineers. • Automate infrastructure, optimise CI/CD pipelines, and ensure platform reliability and performance. • Drive Platform Engineering best practices, improve developer productivity, and foster operational excellence through infrastructure-as-code and modern tooling. • Kubernetes & Containerisation: Kubernetes, Istio, ArgoCD, Helm & CI/CD for containerised workloads. • Monitoring and Logging: Prometheus, Loki, Grafana & ELK to monitor resources. • Source Control & CI/CD: GitHub & GitHub Actions for version control and CI/CD. • Operating Systems: Ansible and AWS tooling to manage Unix environments. • Backend Development: Hands-on experience designing, developing, and deploying backend services in Java; scripting for ad-hoc problems. • Cloud Infrastructure: AWS/Cloud services and best practices. • Infrastructure as Code: AWS CDK & Terraform to manage infrastructure. • Architecture and Design Patterns: DDD, EDA, distributed computing architecture. • Computer Networking: Core networking concepts including VPCs, Subnets, NAT Gateways, etc. • Database Management: Relational databases (MySQL, SQLite, PostgreSQL), event pipelining using Kafka. • Internal Developer Platform: Build and maintain tooling that reduces cognitive load for product teams.

• Implement AI-enabled backend services within a secure, cloud-native microservices environment. • Design and scale Intelligent Document Processing (IDP) pipelines to extract and validate data from claims, authorizations, and medical documentation. • Integrate LLMs and intelligent agents into clinical and claims workflows to streamline patient and provider interactions. • Build AI Agents that surface actionable insights from EHR, claims, and unstructured clinical data. • Support cross-functional architecture sessions, code reviews, and design workshops. • Engineer modern AI/ML development practices, scalable system design, and secure operations. • Drive continuous improvement by identifying opportunities to enhance system performance, scalability, and maintainability. • Create design documentation and technical blueprints that guide implementation.

• Develop and enhance the machine learning platform to manage the full model life cycle • Build frameworks and tools to enable the data science team developing and enhancing predictive model support scalable real-time predictions in production • Design and implement data engineering solutions for model training • Expand NLP capabilities with advanced analysis techniques to improve text understanding • Design and implement high-performance, scalable services and applications • Collaborate with team members to create integrated solutions and ensure timely delivery of quality software and documentation • Understand and adhere to development standards for consistency across teams • Perform in-depth technical and performance analyses to troubleshoot production issues • Monitor and maintain production systems for reliability and efficiency

• As a Senior Platform Engineer for Second Front Systems, we expect you to architect, improve, implement, and operate our cloud native platform for deploying software as a service offerings to the national security ecosystem. • You will be central to the research, experimentation, and development needed to deliver our Platform platform (Game Warden) onto classified fabrics. • As part of a cross functional team, you'll build, test, validate, and operate Game Warden in accordance with the Department of Defense and Intelligence Community security and compliance standards. • You'll work closely with government interlocutors to understand, provision, and secure cloud-based resources in support of research and development efforts to get Game Warden deployed on classified networks. • You'll gain a level of DoD 8570 compliance. • You'll be expected to establish benchmarks, outline key activities, and prioritize efforts across multiple initiatives and programs. • You'll be responsible for developing and documenting new solutions, working independently, and contributing to a culture of diversity, innovation, and excellence.