Lead Software Engineer - Gov Cloud / AI

Responsibilities

• Design, build, and maintain secure, scalable cloud automation and internal tooling.
• Support mission-critical production systems, including participation in a 24x7 on-call rotation.
• Develop and manage DevOps pipelines and Infrastructure as Code using Terraform, Ansible, ARM, and Azure DevOps.
• Troubleshoot and resolve complex application and Azure PaaS issues (C#/ASP.NET).
• Implement and continuously improve cloud security controls aligned with federal compliance requirements.
• Execute Identity & Access Management (IAM), deployments, upgrades, and change management activities.
• Collaborate with cross-functional teams to deliver time-sensitive public-sector outcomes.
• Support audits and compliance activities, including evidence collection and documentation.
• Maintain clear, accurate technical documentation for systems and processes.

Qualifications

• Strong experience developing secure, maintainable, and scalable software.
• Proficiency in C#, ASP.NET, Java, JavaScript, Python, Web APIs, and Microsoft SQL.
• Hands-on automation experience using PowerShell, Bash, Ansible, Terraform, JSON/YAML.
• Experience Operating Cloud-first, Mission-critical Systems (Azure Preferred).
• Working knowledge of Azure Functions, AKS, Docker, and PaaS services.
• Strong Windows and Linux systems administration skills.
• Ability to work independently in fast-paced environments and take ownership of issues through resolution.
• Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.

Preferred

• Federal Environment Experience:
• Familiarity with federal compliance frameworks: FedRAMP, NIST, CMMC, IL3–IL5, HIPAA, PCI, ISO 27001.
• Experience with Azure security services such as WAF, Microsoft Sentinel (SIEM), and threat protection.
• Knowledge of ITSM / ITIL processes and operational best practices.
• Experience with Azure DevOps (ADO) and collaboration tools (Microsoft Teams, SharePoint).
• Familiarity with Elasticsearch, Kibana, and Azure Redis Cache.
• Interest in AI/ML or GenAI solutions in regulated cloud environments.

Pay

Salary Range: Min: $130,000 USD - Max: $195,000 USD
Pay offered will vary based on job-related factors such as location, experience, training, skills, and abilities. In addition to base salary and an annual target incentive bonus, an equity component is included.