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Open nowPosted 115 days ago

DevOps Architect

TechBlocks58 open roles

Where
Gurugram
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Your applicationOpen nowDevOps ArchitectTechBlocks · Gurugram

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The clock on this job

Early applications get read.

11.4% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.4%7 days
  4. 17.5%14 days
  5. 34.2%30 days
  6. 43.5%60 days
This job: posted 115 days ago

The posting

About Us:

Techblocks is a leading global digital product development firm. We unify strategy, design and technology with continuous growth-centric digital product engineering solutions for F500 companies and global brands, including Bell Telecom, Bausch Health (Previously Valeant Pharma), Honda Motors, AES Corp, Thomson Reuters Carswell, First American and Colliers International.

Our passion is empowering innovators and change-makers at every level of the product life cycle. We specialize in building customized business apps that allow organizations and enterprises to improve their efficiency, collaboration and user experience.

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.
  • 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.
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