Sr. Technical Architect - Azure, CICD, ReactJS & Cloud

10 - 13 years

22 - 30 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Scope:
  • Core responsibilities include analyzing business requirements, preparing HLD/LLD, and ensuring accuracy and completeness in design.
  • Owns solution architecture and automation delivery, with a focus on scalability, security, and cost optimization.
  • Leads stakeholder engagement, requirement analysis, and proof-of-concepts (POCs).
  • Provides technical leadership, mentoring, and end-to-end delivery management in DevOps/Automation.
Our current technical environment:
  • IaC Tools: Ansible, Terraform, ARM Templates, Bicep
  • CI/CD: Azure DevOps, Jenkins, GitHub Actions
  • Containers Orchestration: Docker, Kubernetes, AKS
  • Cloud Platform Services: MS Azure (AKS, Functions, HDInsight, Event Hub, App Gateway, VNets, Azure AD)
  • Automation: Python, Shell, Azure Automation, ServiceNow integration
  • Application Development: UI/UX, Python, Salesforce, Java, Spring Boot, React.js, REST API, OAuth, Git
  • Architecture: Scalable, resilient, event-driven, secure multi-tenant microservices
  • Frameworks / Tools: Kafka, Elasticsearch, Spark, NoSQL, RDBMS, Ignite
  • Monitoring Observability: Azure Monitor, Log Analytics, Prometheus, Grafana, ELK
  • Emerging Tech: GenAI, AI/ML (LLMs, RAG, AI Agents, LangChain)
What you ll do:
  • Understand and analyze business requirements, translate into architecture design (HLD/LLD).
  • Architect and deliver automation solutions using Azure, DevOps, and Infrastructure as Code.
  • Drive end-to-end automation (Python, Shell, Ansible, ServiceNow, Azure Automation).
  • Build and maintain CI/CD pipelines, containerized workloads, and PaaS deployments.
  • Ensure DevSecOps practices are followed (IAM, security baselines, compliance).
  • Act as a Tech Lead mentor junior engineers, conduct design/code reviews, and ensure high-quality delivery, Handle a team of 5 to 6 members
  • Collaborate with stakeholders, product owners, and cross-functional teams.
  • Prepare documentation, knowledge sharing, and training on best practices.
What we are looking for:
  • Education: BE/B.Tech, ME/M.Tech, or MCA in Computer Science, IT, or related field.
  • Experience: 10-13 years of progressive experience in software development, cloud architecture, and DevOps automation for large-scale enterprise applications.
1. Core Technical Expertise:
  • Cloud: Deep hands-on expertise in Microsoft Azure (AKS, Functions, Event Hub, App Gateway, VNets, Azure AD, Monitor).
  • DevOps Automation: Proven experience with IaC (Terraform, ARM, Bicep, Ansible), CI/CD (Azure DevOps, Jenkins, GitHub Actions), and Azure Automation.
  • Programming: Strong coding and scripting ability in Java, Python, Shell, React.js, Spring Boot, REST API.
  • Containers Orchestration: Expertise in Kubernetes, Docker, and microservices-based architectures.
  • Security / DevSecOps: Solid understanding of IAM, compliance, cloud security standards, and secure deployment practices.
  • Monitoring Observability: Experience with Azure Monitor, Log Analytics, Prometheus, Grafana, ELK stack.
  • Data Integration: Good knowledge of RDBMS/NoSQL, Kafka, Spark, Elasticsearch, and enterprise data models.
2. Architecture Design:
  • Strong ability to prepare High-Level Design (HLD) and Low-Level Design (LLD) for enterprise systems.
  • Hands-on experience designing scalable, resilient, event-driven, multi-tenant architectures.
  • Skilled at evaluating tools/technologies and running proof-of-concepts (POCs).
3. Leadership Collaboration:
  • Ability to lead and mentor a team of 5-6 engineers, guiding them on coding, design, and delivery.
  • Strong stakeholder management able to partner with business, product, and cross-functional teams.
  • Experience driving end-to-end automation/DevOps initiatives across multiple product lines.
  • Excellent communication and documentation skills for technical and non-technical audiences.
4. Mindset Innovation:
  • Demonstrates problem-solving, innovation, and continuous improvement mindset.
  • Curious about emerging tech exposure to GenAI, LLMs, AI/ML concepts, RAG, LangChain is a plus.
  • Adapts quickly to new technologies and drives adoption across teams.

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