Infrastructure & Platforms Engineer
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AI Summary
The engineer is responsible for building and maintaining cloud infrastructure, CI/CD pipelines, and observability instrumentation across enterprise technology lanes. This includes provisioning Azure resources and collaborating with InfoSec on security and compliance gates.
Nitka Technologies develops software for customers in the US and Europe and brings together about 300 professionals from Eastern Europe, North and South America.
We are looking for an Infrastructure & Platforms Engineer for a long-term project. Our customer is a US-based company that drives intelligent growth for businesses by combining consumer research with brand marketing, product design, and digital engineering to build profitable customer relationships.
We offer 100% remote, full-time work with a flexible schedule with core overlap during US working hours (PST).
About the Role:
The Infrastructure & Platforms Engineer is a hands-on builder responsible for cloud infrastructure, CI/CD pipelines, observability instrumentation, and platform hardening across all three enterprise technology lanes: Core Infrastructure, Insights Modernization, and AI & Innovation Enablement. This role operates within the EA Cross-Pod Execution Team on two-week sprint cadences, executing infrastructure work that directly enables the EA strategic plan.
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.
Requirements:
-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.
Nice to have:
-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.
Working conditions:
-Remote work
-Full-time (8 hours/day)
-Flexible schedule with core overlap during US working hours (PST)
-Attractive USD compensation
-Paid vacation, holidays
We are looking for an Infrastructure & Platforms Engineer for a long-term project. Our customer is a US-based company that drives intelligent growth for businesses by combining consumer research with brand marketing, product design, and digital engineering to build profitable customer relationships.
We offer 100% remote, full-time work with a flexible schedule with core overlap during US working hours (PST).
About the Role:
The Infrastructure & Platforms Engineer is a hands-on builder responsible for cloud infrastructure, CI/CD pipelines, observability instrumentation, and platform hardening across all three enterprise technology lanes: Core Infrastructure, Insights Modernization, and AI & Innovation Enablement. This role operates within the EA Cross-Pod Execution Team on two-week sprint cadences, executing infrastructure work that directly enables the EA strategic plan.
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.
Requirements:
-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.
Nice to have:
-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.
Working conditions:
-Remote work
-Full-time (8 hours/day)
-Flexible schedule with core overlap during US working hours (PST)
-Attractive USD compensation
-Paid vacation, holidays
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