DevOps Systems Engineer supporting customer operations in Annapolis Junction, MD. Responsible for creating, sustaining, and troubleshooting complex operational data flows.
About the role
- Lead Software Engineer responsible for DevOps best practices and Azure ecosystem for AI solutions. Collaborating with teams on software design, development, and mentorship.
Responsibilities
- Build and maintain Infrastructure, CI/CD process and monitoring for AI solutions developed using C#, .Net and Azure.
- Lead the design and development of DevOps solutions and infrastructure ensuring they meet business needs and technical requirements.
- Provide technical leadership and mentorship to engineering team, fostering a collaborative and high-performance environment.
- Collaborate with product management, design, and quality assurance teams to ensure seamless integration and delivery of software solutions.
- Troubleshoot and resolve complex technical issues, ensuring high-quality solutions that are scalable, reliable, and performant.
- Ensure adherence to Devops best practices, including industry standards, testing, and documentation.
- Take ownership of key features and components, driving their design and implementation from concept to delivery.
- Continuously assess and improve engineering processes, AI advancements, automation, recommending new tools and technologies to enhance productivity and software quality.
- Participate in code reviews, ensuring that the team follows best practices and maintains high standards for Azure infrastructure and pipelines.
Requirements
- 7+ years of hands-on experience with DevOps.
- Deep understanding of modern CI/CD, industry best practices and tooling.
- Sound understanding of Azure cloud services, infrastructure, pipelines, scalability and architecture.
- Experience deploying solutions using Azure OpenAI, Azure Foundry, model versioning & quota mgmt.
- Experience with RAG pipelines (Azure AI Search, embedding pipelines, indexing jobs).
- Exposure to Agentic frameworks (Semantic Kernel, MCP/A2A plugins, etc).
- Observability design (App Insights/Azure Monitor, OpenTelemetry) and incident response.
- Good understanding of Managed Identityfirst, Key Vault integration, secure network boundaries, Azure Policy, RBAC, networking, private endpoints.
- Solid experience of Azure Bicep, PowerShell scripts and Yaml for IaC.
- Understanding of data governance (PII, tenant isolation) for AI workloads.
Benefits
- Global hybrid work policy - We ask you to work 2 days a week from the office.
- Growth and innovation - Every 6th sprint is reserved for planning and innovation.
- Self-Direction - High degree of self-organization.
- Inclusive and diverse company culture
- Work-life balance – We believe that an equilibrium between professional responsibilities makes us all the best version of ourselves.
- Empowerment – We believe that all voices are valuable and must be heard.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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