Arch Systems, LLC

Design, develop, and maintain full-stack applications using React, Java, and Spring Boot for federal government projects. | 8+ years software development experience with React, Java, Spring Boot, SQL, MongoDB, Azure, and federal government project experience with security clearance eligibility. | Role: Senior Full-Stack Developer (React / Spring Boot) Company: Arch Systems Client: U.S. Federal Government (ACF) Location: Remote Employment Type: Full-Time Security Requirement: Candidates must have prior experience supporting U.S. Federal Government projects and must be eligible to obtain and maintain a security clearance. This is a mandatory requirement. Job Summary Arch Systems is seeking a Senior Full-Stack Developer with strong expertise in React, Spring Boot, Java, SQL, MongoDB, Azure, and modern DevOps practices. The ideal candidate will have experience building scalable enterprise applications, developing RESTful APIs, and deploying cloud-native solutions in a federal government environment. Key Responsibilities • Design, develop, and maintain full-stack applications using React, Java, and Spring Boot. • Build responsive and user-friendly web applications using React, JavaScript, TypeScript, HTML5, and CSS3. • Develop and maintain RESTful APIs and microservices using Spring Boot. • Design, optimize, and support relational and NoSQL databases, including SQL-based databases and MongoDB. • Implement and maintain CI/CD pipelines to support automated testing, deployment, and release management. • Utilize GitHub and GitLab for source control, code reviews, and collaborative development. • Deploy, monitor, and support applications in Microsoft Azure environments. • Collaborate with business stakeholders, architects, and cross-functional teams to define and implement technical solutions. • Participate in Agile ceremonies including sprint planning, backlog refinement, code reviews, and retrospectives. • Troubleshoot application issues, optimize performance, and ensure system reliability and scalability. • Follow security best practices and federal compliance requirements throughout the software development lifecycle. Required Skills • 8+ years of experience in software development. • Strong proficiency in React, JavaScript, TypeScript, HTML5, and CSS3. • Extensive experience with Java, Spring Framework, Spring Boot, and Microservices Architecture. • Experience developing and consuming RESTful APIs. • Strong experience with SQL databases (Oracle, PostgreSQL, SQL Server, or MySQL). • Hands-on experience with MongoDB or other NoSQL databases. • Experience with GitHub and GitLab. • Experience designing and maintaining CI/CD pipelines. • Experience working with Microsoft Azure cloud services. • Familiarity with Docker and Kubernetes. • Strong understanding of Agile/Scrum methodologies. • Excellent analytical, problem-solving, and communication skills. Required Government Experience • Prior experience supporting U.S. Federal Government agencies or federal contractors. • Ability to obtain and maintain a security clearance. Preferred Qualifications • Experience with Azure DevOps. • Experience with containerized deployments using Docker and Kubernetes. • Knowledge of secure application development and cybersecurity best practices. • Active or previously held Secret, TS, or TS/SCI Clearance preferred. • Experience supporting Health and Human Services (HHS) or related federal agencies is a plus. Education Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field. Relevant certifications in Azure, Java, Cloud Technologies, or DevOps are preferred.

Design, build, and deliver secure, production-grade AI systems for federal missions, lead end-to-end solutioning, hands-on coding, executive presentations, and compliance with federal security standards. | 10+ years software/ML engineering with 5+ years architecting enterprise AI/ML solutions, hands-on Python and AI/ML frameworks, federal compliance experience, MLOps implementation on cloud, and excellent communication skills. | Summary Arch Systems is hiring a hands-on Executive AI Solutions Architect/Engineer to design, build, and deliver secure, production-grade AI systems for federal civilian missions (HHS, DHS, USDA, NOAA, IRS). This is a player-coach role: you will code core components yourself, lead end-to-end solutioning (discovery → design → delivery → ATO), and present solutions to federal stakeholders, clearly articulating mission impact, benefits, and ROI. Core Responsibilities • Hands-on engineering (player-coach): Write production Python; build FastAPI services; implement RAG pipelines (embeddings + vector DB); fine-tune/evaluate models; containerize (Docker) and deploy to Kubernetes with Terraform and GitHub/GitLab CI. • Time in code: Spend ≥50% of build phases actively coding, pairing, and conducting design/code reviews. • End-to-end solutioning: Lead discovery, fit-gap, and make/buy; define requirements and acceptance criteria; produce reference architectures (data → model → serving → security → observability) with trade-off analyses (cost/latency/accuracy/privacy). • Executive-ready presentations: Build decks and demos for federal audiences; clearly describe benefits and mission impact with KPIs (cycle-time reduction, precision/recall, cost per query, latency, compliance posture). • Capture & orals support: Contribute to RFIs/RFPs, technical volumes, and orals; handle Q&A with mixed technical/non-technical stakeholders. • MLOps implementation: Stand up MLflow/Databricks/SageMaker/Azure ML; manage model registry, feature store, CI/CD, gated promotions, canary/rollback; automate drift/bias/robustness monitoring and alerts. • Data engineering & governance: Build secure ingestion/curation pipelines; implement PII/PHI controls (de-identification, tokenization), data quality checks, catalogs/lineage, RBAC/least privilege, and data contracts. • GenAI/RAG safety & quality: Engineer prompt flows, grounding, guardrails, and policy enforcement; define offline/online evaluation with golden sets and human-in-the-loop; monitor factuality, relevance, toxicity; optimize context and token/latency budgets. • Security, compliance, ATO by design: Embed NIST 800-53/37 (RMF), 800-171, FedRAMP controls; implement authN/Z, encryption, secrets, logging/auditing, boundary protections; contribute to SSPs, POA&Ms, continuous monitoring; coordinate with ISSO/3PAO. • Observability & SRE: Instrument with logs/metrics/traces (OpenTelemetry); set SLIs/SLOs; build dashboards/alerts; run game days and blameless post-mortems; design HA/DR patterns to reduce MTTR and improve availability. • Performance & cost management: Model TCO; track cloud spend and cost/query; improve with right-sizing, autoscaling, caching, batching, distillation/quantization; present ROI trade-offs to stakeholders. • Reusable accelerators: Publish reference implementations, IaC modules, pipeline/evaluation templates, and security baselines; drive adoption and measure reuse impact across programs. • Delivery leadership & mentorship: Lead cross-functional agile teams; groom technical backlogs; ensure DoD (“definition of done”) includes tests, docs, security scans, and performance baselines; mentor engineers via pairing and reviews. • Documentation & change management: Maintain runbooks, ADRs, data contracts, and user guides meeting IV&V standards; manage versioning, release notes, stakeholder sign-offs; ensure Section 508 for end-user UIs/content. Minimum Qualifications (Must-Have) • 10+ years software/ML engineering; 5+ years architecting and shipping enterprise AI/ML solutions. • Recent, hands-on delivery with Python, PyTorch or TensorFlow, API development (FastAPI), containers (Docker), and microservices on Kubernetes. • Demonstrated GenAI/RAG delivery: embeddings, vector databases (FAISS/Milvus/pgvector), prompt orchestration/guardrails, evaluation and optimization. • Proven solutioning experience: leading discovery, estimating, architecture decisions, risk/cost trade-offs, and creating exec-ready artifacts that communicate impact and benefits. • Implemented MLOps on AWS and/or Azure using MLflow/Databricks/SageMaker/Azure ML; CI/CD for models and data pipelines; model registry; automated testing. • Federal delivery with working knowledge of FISMA/FedRAMP/RMF and ATO processes; ability to brief mixed technical/non-technical federal audiences. • Excellent communication/storytelling with quantitative framing (KPIs, SLAs/SLOs, ROI). Preferred Qualifications • Public Trust or clearance eligibility; prior support within HHS, DHS, USDA, NOAA, or IRS. • Certifications: AWS Solutions Architect, Azure Solutions Architect/DP-203/DP-100; security/architecture (CISSP, CCSP, TOGAF) a plus. • Experience with model risk management, adversarial testing/red teaming, and Section 508 evaluation practices. • Technical oversight is a plus (while remaining hands-on).