Note: The job is a remote job and is open to candidates in USA. Nitka Technologies develops software for customers in the US and Europe and is seeking an Infrastructure & Platforms Engineer for a long-term project. This role involves building and maintaining cloud infrastructure, CI/CD pipelines, and observability instrumentation to support enterprise technology initiatives.

Responsibilities

• Provision and maintain Azure resources (Static Web Apps, Blob Storage, Entra ID, Azure AD) with IaC
• Manage shared Static Web App reports hub: App Registration, routing, multi-tenant deployment
• Support M+ Studio pilot: Managed Agents environment, MCP connector networking, credential vault
• Build CI/CD pipelines with GitHub Actions: quality gates, security scanning, automated deployments
• Instrument observability dashboards: pipeline health, delivery velocity, DORA metrics
• Execute Book of Work infrastructure: Jira API integration, cycle time tracking
• Collaborate with InfoSec on data residency, security reviews, and compliance gates
• Support vendor/license rationalization: FreshService catalog mapping, capability audit

Skills

• 5+ years in cloud infrastructure engineering, with strong Azure proficiency across App Services, Static Web Apps, Entra ID/Azure AD, Key Vault, and Blob Storage
• Proficiency with Infrastructure-as-Code: Terraform preferred, with Bicep or ARM templates also relevant
• Expert-level CI/CD pipeline design and management, with GitHub Actions required and Azure DevOps experience a plus
• Strong understanding of enterprise networking, DNS, SSL/TLS certificate management, and API gateway configuration
• Experience with observability tooling such as Datadog, Grafana, or equivalent platforms, including DORA metrics implementation
• Knowledge of container orchestration and serverless architectures, including Docker, Kubernetes, AWS Lambda, or Azure Functions
• Familiarity with security controls in cloud environments
• Familiarity with the Atlassian ecosystem, including Jira, Confluence, and programmatic API integration
• Exposure to AI/ML infrastructure patterns, including model hosting, feature stores, and agent sandboxing
• Experience with MCP server infrastructure or similar agentic AI platform patterns
• Understanding of enterprise governance frameworks such as ITIL, TOGAF, or similar

Benefits

• Remote work
• Full-time (8 hours/day)
• Flexible schedule with core overlap during US working hours (PST)
• Attractive USD compensation
• Paid vacation, holidays

Company Overview