DevOps Architect

Techblocks; Gurugram District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Techblocks is a leading global digital product development firm focused on strategy, design and technology with growth-centric product engineering. The role requires 12+ years of IT experience with cloud and DevOps architecture, multi-cloud/hybrid-cloud expertise, and strong emphasis on security, observability, and AI/LLM capabilities.

Ideal candidates will have hands-on AWS/Azure experience, Terraform, Kubernetes (EKS/AKS), CI/CD tooling, and scripting in Python/Bash, plus strong design

Skills

12+ years IT experience

Cloud Architecture

DevOps Architecture

Architecture reviews

High/Low level design

Multi-cloud / hybrid-cloud

Security concepts

Observability / SRE

Generative AI / LLM

Tools

AWS

Azure

EKS

AKS

EC2

VPC

S3

IAM

RDS/Aurora

Lambda

API Gateway

CloudFormation

Terraform

CI/CD tools

Python

Bash

Docker

Kubernetes

Prometheus

Grafana

Datadog

LangChain

LangGraph

Bedrock

Azure OpenAI

OpenAI

Anthropic

Vector search

Job description

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

• 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.
• 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.