Sr. Technical Architect - Cloud (Azure, CICD, ReactJS)

1 Month ago • 10-13 Years
Devops

Job Description

This role involves analyzing business requirements, designing and owning scalable, secure, and cost-optimized cloud solutions on Azure. The Sr. Technical Architect will lead automation delivery, stakeholder engagement, and provide technical leadership, mentoring a team of 5-6 engineers. Key responsibilities include architecting and delivering automation solutions using Azure, DevOps, and Infrastructure as Code, building CI/CD pipelines, and ensuring DevSecOps practices.
Good To Have:
  • Exposure to GenAI, LLMs, AI/ML concepts, RAG, LangChain is a plus.
Must Have:
  • Analyze business requirements and prepare HLD/LLD.
  • Own solution architecture and automation delivery.
  • Lead stakeholder engagement and technical mentoring.
  • Architect and deliver Azure, DevOps, and IaC automation solutions.
  • Drive end-to-end automation using Python, Shell, Ansible, ServiceNow.
  • Build and maintain CI/CD pipelines, containerized workloads, PaaS deployments.
  • Ensure DevSecOps practices, including IAM and security baselines.
  • Act as Tech Lead, mentor junior engineers, conduct design/code reviews.
  • Collaborate with stakeholders, product owners, and cross-functional teams.
  • 10-13 years experience in software development, cloud architecture, DevOps automation.
  • Deep hands-on expertise in Microsoft Azure services.
  • Proven experience with IaC (Terraform, ARM, Bicep, Ansible) and CI/CD tools.
  • Strong coding in Java, Python, Shell, React.js, Spring Boot, REST API.
  • Expertise in Kubernetes, Docker, and microservices architectures.
  • Solid understanding of cloud security standards and secure deployment.
  • Experience with Azure Monitor, Log Analytics, Prometheus, Grafana, ELK.
  • Knowledge of RDBMS/NoSQL, Kafka, Spark, Elasticsearch.
  • Design scalable, resilient, event-driven, multi-tenant architectures.
  • Ability to lead and mentor a team of 5–6 engineers.
  • Strong stakeholder management and communication skills.
  • Problem-solving, innovation, and continuous improvement mindset.

Add these skills to join the top 1% applicants for this job

cross-functional
communication
github
game-texts
salesforce
react
oauth
nosql
azure
spring-boot
prometheus
ansible
azure-devops
terraform
grafana
elasticsearch
elk
spark
level-design
cloud-security
microsoft-azure
ci-cd
docker
microservices
kubernetes
git
python
shell
github-actions
jenkins
java

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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