Blue Yonder - Senior Technical Architect - Cloud Platform & Services

About the job :

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 Youll 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.

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.

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).

Leadership & Collaboration :

- Ability to lead and mentor a team of 56 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.

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