Design, develop, secure, and maintain mission-critical Microsoft-platform software for DoD programs. Build C# and .NET applications, responsive JavaScript and EXT JS interfaces, REST APIs, and optimized SQL Server databases. Apply secure coding, STIG, RMF, threat modeling, vulnerability remediation, documentation, and compliance practices. Integrate Kiro AI capabilities, collaborate with cybersecurity and engineering teams, and support deployment and sustainment in classified or controlled environments.
Position Overview
The Senior Software Engineer supports Department of Defense (DoD) programs by designing, developing, securing, and maintaining mission-critical software solutions built on the Microsoft development ecosystem. This role requires deep expertise in C#, .NET, SQL Server, JavaScript/EXT JS, and modern web development practices, along with disciplined engineering methods suitable for classified or sensitive environments. Experience integrating Kiro AI technologies is strongly preferred. Candidates must demonstrate strong adherence to security, compliance, and documentation standards required in defense contracting. This position is remote-based with a team on the East Coast. Eastern time zone applicants are preferred. There is a possibility for occasional travel for meetings at government facilities.
Security Clearance Requirements
- Active DoD Secret clearance required
- Must be able to obtain and maintain additional program-specific accesses (e.g., SAP, CI polygraph) if required
- U.S. Citizenship required due to government contract restrictions
Key Responsibilities
- Microsoft Platform Development
- Design and implement secure software solutions using C#, .NET Framework/.NET Core, asp.NET and Visual Studio.
- Develop responsive front-end interfaces using JavaScript, EXT JS, HTML5, and CSS3.
- Build secure RESTful APIs, services, and modular components aligned with DoD cybersecurity and architecture standards.
- Database Engineering
- Administer, maintain, and optimize Microsoft SQL Server databases in controlled environments.
- Develop advanced T-SQL scripts, stored procedures, triggers, and performance-tuned queries.
- Implement secure database schemas, access controls, auditing, and backup/recovery strategies compliant with DoD requirements.
- Secure Software Development
- Apply DoD Secure Coding Guidelines, STIGs, and RMF controls throughout the development lifecycle.
- Participate in code reviews, threat modeling, and vulnerability remediation.
- Produce high-quality documentation suitable for configuration management, accreditation packages, and government audits.
- AI & Emerging Technologies
- Integrate Kiro AI capabilities into enterprise or mission-support applications.
- Collaborate with data science teams to embed AI-driven features while maintaining security and compliance constraints.
- Technical Leadership & Collaboration
- Work closely with cross-functional teams including cybersecurity, systems engineering, QA, and program management.
- Support deployment, testing, and sustainment activities within classified or controlled environments.
Required Qualifications
- US Citizen
- Eligible for a government-issued Secret-level clearance.
- Bachelor’s degree in Computer Science, Software Engineering, or related field.
- 7+ years of professional software engineering experience.
- Expert proficiency in C#, .NET, Visual Studio, and Microsoft development tools.
- Strong experience with SQL Server administration, performance tuning, and advanced T-SQL scripting.
- Demonstrated ability to build complex front-end applications using JavaScript and EXT JS.
- Experience developing software in compliance with DoD cybersecurity frameworks (RMF, STIGs, secure coding).
Preferred Skills
- Candidates based on the east coat time zone.
- Experience working on classified systems or secure enclaves.
Kalman & Company, Inc. Natick, Massachusetts, USA Office
Natick, United States
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads Mastercard’s global AI Engineering organization, overseeing enterprise AI products, agentic AI solutions, reusable AI capabilities, and production deployments. Responsibilities include translating business needs into secure, scalable AI solutions; ensuring reliability, governance, compliance, privacy, and operational excellence; driving adoption and measurable outcomes; and partnering across technology, security, risk, product, and business teams. The role also develops global engineering leaders and builds a high-performing organization.
Top Skills:
Agentic AiAIAPIsCloud-Native ArchitecturesDistributed SystemsGenerative AiHybrid CloudLarge Language Models (Llms)Multi-Agent OrchestrationWorkflow Automation
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Architect and engineer secure, scalable enterprise AI infrastructure for LLM training and inference, machine learning, agentic AI, and production platforms. Lead HPC, GPU, Kubernetes, cloud, networking, storage, reliability, observability, security, and automation strategies. Resolve complex performance and scalability challenges, establish engineering standards, evaluate emerging technologies, lead cross-functional initiatives, and mentor engineers in a regulated environment.
Top Skills:
Accelerated ComputingAgentic AiCloud-Native PlatformsDistributed SystemsGpuHigh-Performance NetworkingHpcHybrid CloudInfrastructure AutomationKubernetesLlmsMachine LearningObservabilityPrivate CloudRack-Scale SystemsSreStorage
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads the architecture and engineering of secure, scalable enterprise AI infrastructure. Designs platforms for LLM training and inference, machine learning, agentic AI, and production workloads using HPC, GPUs, Kubernetes, hybrid cloud, networking, storage, and automation. Establishes standards for reliability, security, observability, governance, and compliance; resolves complex performance challenges; evaluates emerging technologies; leads cross-functional initiatives; and mentors engineers.
Top Skills:
Accelerated ComputingAgentic AiDistributed SystemsGpu ComputingHigh-Performance NetworkingHigh-Performance StorageHpcHybrid CloudInfrastructure AutomationKubernetesLlmsMachine LearningObservabilityPrivate CloudRack-Scale SystemsResponsible AiSre
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
