Role: Lead Engineer- DevOps
Location: India, Remote
Experience: 5+ Years
Algoworks
www.algoworks.com
About the company
Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results.
For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.
At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized.
Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.
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Role overview
We are seeking a DevOps to build the cloud-native foundation for a greenfield, multi-tenant platform on Azure - Docker, AKS, Helm and ArgoCD with GitOps.
The candidate will own CI/CD on Azure DevOps, container orchestration, secrets and configuration management and observability, enabling a one-click, repeatable path from commit to production.
Key responsibilities:
1.CI/CD and GitOps
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Build and maintain Azure DevOps Pipelines for PR and nightly builds with quality gates.
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Implement GitOps delivery with Helm + ArgoCD using per-service and umbrella charts.
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Enable a containerized, one-click deployment workflow.
2.Platform and security
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Provision and operate AKS clusters and Docker-based workloads.
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Manage secrets with Azure Key Vault + the CSI driver - no secrets in images or source.
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Configure Azure API Management for versioned APIs and per-tenant configuration.
3.Observability and reliability
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Implement unified observability with OpenTelemetry and Application Insights.
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Define alerting, scaling and incident-response practices for production readiness (P5).
Required technical skills and qualifications:
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Bachelor’s degree in Computer Science, Information Technology, Engineering or a related field.
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5+ years in DevOps / platform engineering on Azure.
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Strong hands-on Kubernetes (AKS) and Docker experience.
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Helm chart authoring and GitOps (ArgoCD or Flux) experience.
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Azure DevOps Pipelines (YAML) CI/CD expertise.
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Experience with Azure Key Vault, secrets management and IaC.
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Familiarity with observability tooling (OpenTelemetry, App Insights).
Must have skills:
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Strong AKS, Docker and Helm hands-on experience.
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GitOps (ArgoCD) and Azure DevOps CI/CD proficiency.
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Secrets and configuration management on Azure.
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Production-grade observability and reliability practices.
Good to have skills:
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Experience with Azure API Management.
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Infrastructure-as-Code (Bicep / Terraform).
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Multi-tenant or per-tenant deployment topologies.
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Scripting in PowerShell / Bash.
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Hands-on experience using AI tools in the Software Development Lifecycle; Claude and GitHub Copilot preferred.
Desired attributes:
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Strong ownership mindset and engineering discipline.
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High attention to detail with strong analytical and problem-solving skills.
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Effective communicator who collaborates well across distributed, cross-functional teams.
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Comfortable working in a greenfield environment with evolving standards and a test-first culture.
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Passion for continuous improvement, clean code and engineering excellence.
Interview process
2 rounds of discussion.
