DevOps Lead

Job Description:

• Infrastructure Management: Design, implement, and manage scalable, reliable, and secure cloud infrastructure using AWS, GCP, and/or Azure.
• CI/CD Pipelines: Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines to streamline the development lifecycle.
• Automation: Automate infrastructure provisioning, configuration management, and application deployment processes.
• Monitoring and Performance: Implement monitoring, logging, and alerting solutions to ensure system health, performance, and reliability.
• Security: Ensure the security of cloud infrastructure and applications, including identity management and compliance with industry standards.
• Collaboration: Work closely with client and development teams to integrate DevOps practices and deliver high-quality software.
• Documentation: Maintain comprehensive documentation of infrastructure, configurations, and processes.
• Innovation: Stay current with emerging technologies and industry trends, integrating them into the DevOps strategy as appropriate.

Qualifications: 

• Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience: 7 - 10 years of overall experience with relevant experience of at least 7 years in DevOps and served as a lead or senior engineer.

Job Title : Senior DevOps Engineer

Location : Remote

Experience Level : 5+ Years

Role Overview :

We are a funded AI startup seeking a Senior DevOps Engineer to design, implement, and maintain a secure, scalable, and efficient infrastructure. In this role, you will focus on automating operations, optimizing deployment processes, and enabling engineering teams to deliver high-quality products seamlessly.

Key Responsibilities:

Infrastructure Scalability & Reliability :

• Architect and manage cloud infrastructure on AWS, GCP, or Azure for high availability, reliability, and cost-efficiency.
• Implement container orchestration using Kubernetes or Docker Compose.
• Utilize Infrastructure as Code (IaC) tools like Pulumi or Terraform to manage and configure infrastructure.

Deployment Automation :

• Design and maintain CI/CD pipelines using GitHub Actions, Jenkins, or similar tools.
• Implement deployment strategies such as canary or blue-green deployments, and create rollback mechanisms to ensure seamless updates.

Monitoring & Observability :

• Leverage tools like OpenTelemetry, Grafana, and Datadog to monitor system health and performance.
• Establish centralized logging systems and create real-time dashboards for actionable insights.

Security & Compliance :

• Securely manage secrets using tools like HashiCorp Vault or Doppler.
• Conduct static code analysis with tools such as SonarQube or Snyk to ensure compliance with security standards.

Collaboration & Team Enablement :

• Mentor and guide team members on DevOps best practices and workflows.
• Document infrastructure setups, incident runbooks, and troubleshooting workflows to enhance team efficiency.

Required Skills :

• Expertise in managing cloud platforms like AWS, GCP, or Azure.
• In-depth knowledge of Kubernetes, Docker, and IaC tools like Terraform or Pulumi.
• Advanced scripting capabilities in Python or Bash.
• Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar.
• Experience with observability tools like Grafana, OpenTelemetry, and Datadog.
• Strong troubleshooting skills for debugging production systems and optimizing performance.

Preferred Qualifications :

• Experience in scaling AI or ML-based applications.
• Familiarity with distributed systems and microservices architecture.
• Understanding of agile methodologies and DevSecOps practices.
• Certifications in AWS, Azure, or Kubernetes.

What We Offer :

• Opportunity to work in a fast-paced AI startup environment.
• Flexible remote work culture.
• Competitive salary and equity options.
• Professional growth through challenging projects and learning opportunities.

We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.

The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.

Key Responsibilities

Cloud Architecture & Engineering

•     Design and implement scalable, secure, and highly available solutions on Microsoft Azure.

•     Define cloud architecture standards, reference architectures, and best practices.

•     Lead cloud migration and modernisation initiatives across enterprise workloads.

•     Implement multi-region disaster recovery and business continuity strategies.

•     Oversee Azure networking, identity, security, and governance frameworks.

DevOps & CI/CD

•     Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.

•     Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.

•     Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.

•     Establish branching strategies, release management, and environment promotion standards.

•     Define and enforce platform engineering standards and internal developer tooling.

AI & Machine Learning Integration

•     Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.

•     Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.

•     Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.

•     Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.

•     Design and implement enterprise MLOps frameworks.

•     Build automated model training, validation, deployment, and monitoring pipelines.

•     Establish model governance and lifecycle management.

Generative AI & Agentic AI

• Design enterprise GenAI solutions using Azure OpenAI.
• Build AI Agents using Azure AI Foundry.
• Develop Agent-to-Agent communication patterns.
• Implement Retrieval Augmented Generation (RAG) architectures.
• Build enterprise Knowledge Management and AI Skill Registry platforms.
• Design multi-agent orchestration frameworks.

Leadership & Stakeholder Engagement

•     Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.

•     Mentor and guide junior architects, developers, and DevOps engineers.

•     Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.

•     Produce architecture documentation, decision records (ADRs), and roadmaps.

•     Represent the technology function in enterprise architecture forums and governance boards.

Required Qualifications

•     Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

•     10+ years of experience in cloud engineering and architecture.

•     5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.

•     Proven experience designing and implementing enterprise-grade CI/CD pipelines.

•     Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).

•     Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).

•     Deep knowledge of DevSecOps principles, tools, and practices.

•     Experience with containerisation and orchestration: Docker, Kubernetes (AKS).

•     Proficiency in scripting and development: Python, PowerShell, Bash.

•     Excellent communication and stakeholder management skills.

Preferred Qualifications

•     Microsoft Certified: Azure Solutions Architect Expert.

•     Microsoft Certified: DevOps Engineer Expert.

•     Microsoft Certified: Azure AI Engineer Associate.

•     Experience with Azure API Management (APIM), Event Grid, and Azure Functions.

•     Familiarity with Datadog, Prometheus, or equivalent observability platforms.

•     Experience in the real estate, retail, or enterprise industry sector.

•     Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).

•     Background in building Internal Developer Platforms (IDP).

Technical Skills

Domain

Technologies / Tools

Cloud Platform

Microsoft Azure (UAE North / Global)

DevOps & CI/CD

Azure DevOps, GitHub Actions, Jenkins

IaC

Terraform, Bicep, ARM Templates

AI / ML

Azure OpenAI, Azure AI Foundry, Azure ML, Cognitive Services

Containers

Docker, Kubernetes (AKS), Azure Container Apps

Identity & Security

Microsoft Entra ID, Azure Policy, Defender for Cloud

Observability

Datadog, Azure Monitor, Log Analytics, Application Insights

Databases

Azure SQL, PostgreSQL, Cosmos DB

Languages

Python, PowerShell, Bash, YAML

Job Description

Role: Sr. DevOps – Architect

Location: Bangalore

Who are we looking for?

A senior level DevOps consultant with deep DevOps related expertise. The Individual should be passionate about technology and demonstrate depth and breadth of expertise in similar roles and Enterprise Systems/Enterprise Architecture Frameworks;

Technical Skills:

• 8+ years of relevant  DevOps /Operations/Development experience working under Agile  DevOps  culture on large scale distributed systems.

• Experience in building a DevOps platform in integrating DevOps tool chain using REST/SOAP/ESB technologies.

• Required hands on programming skills on developing automation modules using one of these scripting languages Python/Perl/Ruby/Bash

• Require hands on experience with public cloud such as AWS, Azure, Openstack, Pivotal Cloud Foundry etc though Azure experience is must.

• Experience in working more than one of the configuration management tools like Chef/Puppet/Ansible and building own cookbook/manifest is required.

• Experience with Docker and Kubernetes.

• Experience in Building CI/CD pipelines using any of the continuous integration tools like Jenkins, Bamboo etc.

• Experience with planning tools like Jira, Rally etc.

• Hands on experience on continuous integration and build tools like (Jenkins, Bamboo, CruiseControl etc.) along with version control system like (GIT, SVN, GITHUB, TFS etc.), build automation tools like Maven/Gradle/ANT and dependency management tools like Artifactory/Nexus.

• Experience with more than one deployment automation tools like IBM urban code, CA automic, XL Deploy etc.

• Experience on setting up and managing  DevOps  tools on Repository, Monitoring, Log Analysis etc. using tools like (New Relic, Splunk, App Dynamics etc.)

• Understanding of Applications, Networking and Open source tools.

• Experience on security side of DevOps i.e. DevSecOps

• Good to have understanding of Micro services architecture.

• Experience working with remote/offshore teams is a huge plus

• Experience in building a Dashboard based on latest JS technologies like NodeJS

• Experience with NoSQL database like MongoDB

• Experience in working with REST APIs

• Experience with tools like NPM, Gulp

Process Skills:

• Ability in performing rapid assessments of clients’ internal technology landscape and targeting use cases and deployment targets

• Develop and create program blueprint, case study, supporting technical documentations for DevOps to be commercialized and duplicate work across different business customers

• Compile, deliver, and evangelize roadmaps that guide the evolution of services

• Grasp and communicate big-picture enterprise-wide issues to team

• Experience working in an Agile / Scrum / SAFe environment preferred

Behavioral Skills :

• Should have directly worked on creating enterprise level operating models, architecture options

• Model as-is and to-be architectures based on business requirements

• Good communication & presentation skills

• Self-driven + Disciplined + Organized + Result Oriented + Focused & Passionate about work

• Flexible for short term travel

Primary Duties / Responsibilities:

• Build Automations and modules for DevOps platform

• Build integrations between various DevOps tools

• Interface with another teams to provide support and understand the overall vision of the transformation platform.

• Understand the customer deployment scenarios, and Continuously improve and update the platform based on agile requirements.

• Preparing HLDs and LLDs.

• Presenting status to leadership and key stakeholders at regular intervals

Qualification:

• Somebody who has at least 12+ years of work experience in software development.

• 5+ years industry experience in DevOps architecture related to Continuous Integration/Delivery solutions, Platform Automation including technology consulting experience

• Education qualification: B.Tech, BE, BCA, MCA, M. Tech or equivalent technical degree from a reputed college

We are seeking a skilled and proactive Kubernetes Administrator with strong hands-on experience in managing Red Hat OpenShift environments. The ideal candidate will have a solid background in Kubernetes administration, ArgoCD, and Jenkins.

This role demands a self-motivated, quick learner who can confidently manage OpenShift-based infrastructure in production environments, communicate effectively with stakeholders, and escalate issues promptly when needed.

Key Skills & Qualifications

• Strong experience with Red Hat OpenShift and Kubernetes administration (OpenShift or Kubernetes certification a plus).
• Proven expertise in managing containerized workloads on OpenShift platforms.
• Experience with ArgoCD, GitLab CI/CD, and Helm for deployment automation.
• Ability to troubleshoot issues in high-pressure production environments.
• Strong communication and customer-facing skills.
• Quick learner with a positive attitude toward problem-solving.

1. Proficiency in Python , Django and Other Allied Frameworks;
2. Expert in designing UI/UX interfaces;
3. Expert in testing, troubleshooting, debugging and problem solving;
4. Basic knowledge of SEO;
5. Good communication;
6. Team building and good acumen;
7. Ability to perform; 
8. Continuous learning

MLOps Engineer

Required Candidate profile :

• 3+ years’ experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins, Github Actions) and bringing ML models to CI/CD pipelines
• Candidate with strong Azure expertise
• Exposure of Productionize the models
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops
• Proficient knowledge of git, Docker and containers, Kubernetes
• Familiarity with Terraform
• E2E production experience with Azure ML, Azure ML Pipelines
• Experience in Azure ML extension for Azure Devops
• Worked on Model Drift (Concept Drift, Data Drift preferable on Azure ML.)
• Candidate will be part of a cross-functional team that builds and delivers production-ready data science projects. You will work with team members and stakeholders to creatively identify, design, and implement solutions that reduce operational burden, increase reliability and resiliency, ensure disaster recovery and business continuity, enable CI/CD, optimize ML and AI services, and maintain it all in infrastructure as code everything-in-version-control manner.
• Candidate with strong Azure expertise
• Candidate should have complete knowledge of Azure ecosystem, especially in the area of DE
• Candidate should have prior experience in Design, build, test, and maintain machine learning infrastructure to empower data scientists to rapidly iterate on model development
• Develop continuous integration and deployment (CI/CD) pipelines on top of Azure that includes AzureML, MLflow and Azure Devops

Job Dsecription:

○ Develop best practices for team and also responsible for the architecture

○ solutions and documentation operations in order to meet the engineering departments quality and standards

○ Participate in production outage and handle complex issues and works towards Resolution

○ Develop custom tools and integration with existing tools to increase engineering Productivity

Required Experience and Expertise

○ Having a good knowledge of Terraform + someone who has worked on large TF code bases.

○ Deep understanding of Terraform with best practices & writing TF modules.

○ Hands-on experience of GCP  and AWS and knowledge on AWS Services like VPC and VPC related services like (route tables, vpc endpoints, privatelinks) EKS, S3, IAM. Cost aware mindset towards Cloud services.

○ Deep understanding of Kernel, Networking and OS fundamentals

NOTICE PERIOD - Max - 30 days

• Provide consultation and review all outgoing critical customer communications.
• Apply DevOps thinking in bringing the development and IT Ops process, people, and tools together within the company in order to increase the speed, efficiency, and quality.
• Perform architecture and security reviews for different projects, work with leads to develop strategy and roadmap for the client requirements. Involve in designing of the overall architecture of the system with another leads/architect.
• Develop and grow engineers in DevOps technology to meet the incoming requirements from the business team.
• Work with senior technical team to bring in new technologies/tools being used within the company. Develop and promote best practices and emerging concepts for DevSecOps and secure CI/CD. Participate in Solution Strategy, innovation areas, and technology roadmap.

Key Skills:

• Deals positively with high levels of uncertainty, ambiguity, and shifting priorities.
• Ability to influence stakeholders as a trusted advisor across all levels, including teams outside of shared services.
• Ability to think outside of the box and be innovative by keeping abreast of new trends, identifying opportunities to bring in change for business benefit.
• Implementing CI (Continuous Integration) and CD (Continuous Deployment). Have Good exposure to CI & Build Management tools like Jenkins Azure DevOps GitHub Actions Maven Gradle and etc
• Deployment and provisioning tools (Chef/Ansible/Terraform/AWS CDK etc)
• Docker Orchestration tools like Kubernetes/Swarm etc
• Good hands-on knowledge of automation scripting Python Shell Ruby etc
• Version Control for Source Code Management (SCM) tool: GIT/Bitbucket and etc
• Expertise in Linux based systems like Unix Linux Ubuntu and also manage security systems Linux file system permission etc
• Container Orchestration tool: Kubernetes Swarm Meso Marathon Docker Writing Docker file Docker compose
• Expertise in managing Cloud resources and good exposure to Docker
• Public/Private/Hybrid cloud: AWS /Microsoft Azure/ Google Cloud Platform etc
• Extensive experience with cloud services elastic capacity administration and cloud deployment and migration.
• Good to have knowledge of tools like Splunk, New Relic, PagerDuty, VictorOps
• Familiarity with Network protocols and elements - TCP/IP HTTP(S) SSL DNS Firewall router load balancers proxy.
• Excellent in creating new and improve existing workflows within the agile software development lifecycle.
• Familiar with incident and change management processes.
• Ability to effectively priorities work with fast-changing requirements.
• Troubleshoot and debug infrastructure Network and operating system issues.
• Resolve complex issues in scenarios like resource consumptions server performance backup strategy Scaling.
• Investigate and perform Root Cause Analysis on users' reported issues and provide a workaround before implementing a final fix.
• Monitor servers and applications to ensure the smooth running of IT Architecture (Applications Services Schedulers Server Performance etc)

Design Skills:

• Interpret and implement the designs of others adhering to standards and guidelines
• Design solutions within their area of expertise using technologies that already exist within Tesco
• Understand the roadmaps for their area of Technology Design secure solutions
• Design solutions that can be consumed in a self-service manner by the engineering teams
• Understand the impact of technologies at an enterprise-scale innovation
• Demonstrate knowledge of the latest technology trends related to Infrastructure
• Understand how Industry trends impact their own area
• identify opportunities to automate work and deliver against them