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DevOps Architect

Technology
TechBlocks
1 week agoUntil 30/12/2026
Full timeFully remote

Job description

Position: DevOps Architect

Location: Remote

Time Zone/Shift: Starts at 12:30 PM IST

Experience: 12+ years

About the Role

We are looking for a DevOps Architect with 12+ years of IT experience to design and deliver enterprise-scale cloud, DevOps, and AI platforms. You will define architecture roadmaps, create technical designs, and guide implementation across AWS and Azure, with a focus on security, scalability, reliability, performance, and cost optimization.

This hands-on role spans platform engineering, Kubernetes, infrastructure as code, CI/CD, DevSecOps, observability, and SRE. You will also architect Generative AI and agentic AI solutions, including RAG pipelines, agent orchestration, and LLMOps, while working closely with engineering and business stakeholders.

Required Skills & Experience

Architecture Experience

  • 12+ years of overall IT experience, with significant experience in Cloud Architecture and DevOps Architecture.
  • Proven experience architecting and delivering enterprise-scale cloud and DevOps platforms.
  • Strong experience producing HLDs, LLDs, architecture diagrams, reference architectures, and technical design documentation.
  • Experience conducting architecture reviews and technology evaluations.
  • Strong experience with AWS and Azure Well-Architected Frameworks.
  • Hands on experience in IDP tools, preferably Backstage.
  • Experience defining architecture roadmaps and modernization strategies.
  • Strong understanding of scalability, availability, resiliency, security, performance, and cost optimization.
Cloud & Platform
  • Strong hands-on experience with AWS.
  • Experience with multi-cloud and hybrid-cloud architectures.
  • Strong knowledge of AWS services including EC2, VPC, S3, IAM, EKS, RDS/Aurora, Lambda, API Gateway, CloudFormation, and related services.
  • Strong knowledge of Azure services including AKS, Storage, Azure Functions, Azure SQL, Entra ID, Azure OpenAI/AI Foundry, and related services.
  • Strong Kubernetes experience with EKS and/or AKS.
  • Docker, Helm, GitOps, and cloud-native microservices.
IaC & DevOps
  • Strong Terraform experience.
  • Experience with CloudFormation, ARM Templates, Crossplane, and/or Ansible.
  • Strong CI/CD experience with Azure DevOps, GitHub Actions, Jenkins, and/or ArgoCD.
  • Strong Python and Bash scripting/automation experience.
  • Strong understanding of DevOps and GitOps principles.
DevSecOps & Security
  • Strong understanding of DevSecOps.
  • Experience with SAST, DAST, IAST, container vulnerability scanning, and security testing.
  • Strong knowledge of cloud IAM and security.
  • Experience with AWS GuardDuty, Azure Defender, Sentinel, Entra ID, SCPs, PIM, MFA, SSO, and Zero Trust concepts.
Observability & SRE
  • Strong experience designing enterprise observability architectures.
  • Hands-on experience with multiple observability technologies such as CloudWatch, Azure Monitor, Prometheus, Grafana, ELK, Datadog, Splunk, Dynatrace, or SCOM.
  • Strong understanding of: Metrics, Logs, Traces, Distributed tracing, Monitoring, Alerting, SLI/SLO/SLA, Reliability engineering
  • Experience designing observability for Kubernetes, microservices, APIs, cloud infrastructure, and distributed applications.
  • Experience with SRE practices and production reliability engineering.
Generative AI & Agentic AI
  • Strong experience in Generative AI / LLM architecture.
  • Experience with AWS Bedrock, Azure OpenAI, Azure AI Foundry, OpenAI, and/or Anthropic.
  • Strong knowledge of RAG, embeddings, vector search, semantic search, and contextual grounding.
  • Experience with vector databases/search technologies such as Pinecone, FAISS, OpenSearch, Azure AI Search, and/or Neo4j.
  • Strong experience with AI Agents, Agentic AI, multi-agent systems, and agent orchestration.
  • Experience with LangGraph and/or LangChain.
  • Strong understanding of MCP, tool calling, agentic workflows, AI guardrails, and AI evaluation.
  • Understanding of LLMOps / AI platform engineering.

Why TechBlocks

  • Work directly with Fortune 500 executives and digital transformation leaders.
  • Be part of a fast-growing, AI-native software engineering firm redefining global delivery through our GCC-as-a-Service model.
  • Collaborate with global teams in Canada, the U.S., and India on cutting-edge cloud and AI initiatives.
  • Competitive compensation, performance incentives, and a culture that values ownership, agility, and innovation.
Keywords
Cloud ArchitectureDevOps ArchitectureAWSAzureKubernetesTerraformCI/CDDevSecOpsPythonBashObservabilitySite Reliability EngineeringGenerative AIAgentic AIRAGLLMOpsWell-Architected FrameworkBackstageEKSAKS

Interested in this role?