DevOps Engineer

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

Salesforce DevOps/Release Engineer

Resource type - Salesforce DevOps/Release Engineer

Experience - 5 to 8 years

Norms - PF & UAN mandatory

Resource Availability - Immediate or Joining time in less than 15 days

Job - Remote

Shift timings - UK timing (1pm to 10 pm or 2pm to 11pm)

Required Experience:

• 5–6 years of hands-on experience in Salesforce DevOps, release engineering, or deployment management.
• Strong expertise in Salesforce deployment processes, including CI/CD pipelines.
• Significant hands-on experience with at least two of the following tools: Gearset, Copado,Flosum.
• Solid understanding of Salesforce architecture, metadata, and development lifecycle.
• Familiarity with version control systems (e.g., Git) and agile methodologies

Key Responsibilities:

• Design, implement, and manage CI/CD pipelines for Salesforce deployments using Gearset, Copado, or Flosum.
• Automate and optimize deployment processes to ensure efficient, reliable, and repeatable releases across Salesforce environments.
• Collaborate with development, QA, and operations teams to gather requirements and ensurealignment of deployment strategies.
• Monitor, troubleshoot, and resolve deployment and release issues.
• Maintain documentation for deployment processes and provide training on best practices.
• Stay updated on the latest Salesforce DevOps tools, features, and best practices.

Technical Skills:

• Deployment ToolsHands-on with Gearset, Copado, Flosum for Salesforce deployments
• CI/CDBuilding and maintaining pipelines, automation, and release management
• Version ControlProficiency with Git and related workflows
• Salesforce PlatformUnderstanding of metadata, SFDX, and environment management
• Scripting
• Familiarity with scripting (e.g., Shell, Python) for automation (preferred)
• Communication
• Strong written and verbal communication skills

Preferred Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or related field.

Certifications:

Salesforce certifications (e.g., Salesforce Administrator, Platform Developer I/II) are a plus.

Experience with additional DevOps tools (Jenkins, GitLab, Azure DevOps) is beneficial.

Experience with Salesforce DX and deployment strategies for large-scale orgs. 

Key Responsibilities:

• Design, implement, and maintain scalable, secure, and cost-effective infrastructure on AWS and Azure
• Set up and manage CI/CD pipelines for smooth code integration and delivery using tools like GitHub Actions, Bitbucket Runners, AWS Code build/deploy, Azure DevOps, etc.
• Containerize applications using Docker and manage orchestration with Kubernetes, ECS, Fargate, AWS EKS, Azure AKS.
• Manage and monitor production deployments to ensure high availability and performance
• Implement and manage CDN solutions using AWS CloudFront and Azure Front Door for optimal content delivery and latency reduction
• Define and apply caching strategies at application, CDN, and reverse proxy layers for performance and scalability
• Set up and manage reverse proxies and Cloudflare WAF to ensure application security and performance
• Implement infrastructure as code (IaC) using Terraform, CloudFormation, or ARM templates
• Administer and optimize databases (RDS, PostgreSQL, MySQL, etc.) including backups, scaling, and monitoring
• Configure and maintain VPCs, subnets, routing, VPNs, and security groups for secure and isolated network setups
• Implement monitoring, logging, and alerting using tools like CloudWatch, Grafana, ELK, or Azure Monitor
• Collaborate with development and QA teams to align infrastructure with application needs
• Troubleshoot infrastructure and deployment issues efficiently and proactively
• Ensure cloud cost optimization and usage tracking

Required Skills & Experience:

• 3-4 years of hands-on experience in a DevOps
• Strong expertise with both AWS and Azure cloud platforms
• Proficient in Git, branching strategies, and pull request workflows
• Deep understanding of CI/CD concepts and experience with pipeline tools
• Proficiency in Docker, container orchestration (Kubernetes, ECS/EKS/AKS)
• Good knowledge of relational databases and experience in managing DB backups, performance, and migrations
• Experience with networking concepts including VPC, subnets, firewalls, VPNs, etc.
• Experience with Infrastructure as Code tools (Terraform preferred)
• Strong working knowledge of CDN technologies: AWS CloudFront and Azure Front Door
• Understanding of caching strategies: edge caching, browser caching, API caching, and reverse proxy-level caching
• Experience with Cloudflare WAF, reverse proxy setups, SSL termination, and rate-limiting
• Familiarity with Linux system administration, scripting (Bash, Python), and automation tools
• Working knowledge of monitoring and logging tools
• Strong troubleshooting and problem-solving skills

Good to Have (Bonus Points):

• Experience with serverless architecture (e.g., AWS Lambda, Azure Functions)
• Exposure to cost monitoring tools like CloudHealth, Azure Cost Management
• Experience with compliance/security best practices (SOC2, ISO, etc.)
• Familiarity with Service Mesh (Istio, Linkerd) and API gateways
• Knowledge of Secrets Management tools (e.g., HashiCorp Vault, AWS Secrets Manager)

Job Title: DevOps Engineer

Location: Remote

Type: Full-time

About Us:

At Tese, we are committed to advancing sustainability through innovative technology solutions. Our platform empowers SMEs, financial institutions, and enterprises to achieve their Environmental, Social, and Governance (ESG) goals. We are looking for a skilled and passionate DevOps Engineer to join our team and help us build and maintain scalable, reliable, and efficient infrastructure.

Role Overview:

As a DevOps Engineer, you will be responsible for designing, implementing, and managing the infrastructure that supports our applications and services. You will work closely with our development, QA, and data science teams to ensure smooth deployment, continuous integration, and continuous delivery of our products. Your role will be critical in automating processes, enhancing system performance, and maintaining high availability.

Key Responsibilities:

• Infrastructure Management:
• Design, implement, and maintain scalable cloud infrastructure on platforms such as AWS, Google Cloud, or Azure.
• Manage server environments, including provisioning, monitoring, and maintenance.
• CI/CD Pipeline Development:
• Develop and maintain continuous integration and continuous deployment pipelines using tools like Jenkins, GitLab CI/CD, or CircleCI.
• Automate deployment processes to ensure quick and reliable releases.
• Configuration Management and Automation:
• Implement infrastructure as code (IaC) using tools like Terraform, Ansible, or CloudFormation.
• Automate system configurations and deployments to improve efficiency and reduce manual errors.
• Monitoring and Logging:
• Set up and manage monitoring tools (e.g., Prometheus, Grafana, ELK Stack) to track system performance and troubleshoot issues.
• Implement logging solutions to ensure effective incident response and system analysis.
• Security and Compliance:
• Ensure systems are secure and compliant with industry standards and regulations.
• Implement security best practices, including identity and access management, network security, and vulnerability assessments.
• Collaboration and Support:
• Work closely with development and QA teams to support application deployments and troubleshoot issues.
• Provide support for infrastructure-related inquiries and incidents.

Qualifications:

• Education:
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience:
• 3-5 years of experience in DevOps, system administration, or related roles.
• Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.
• Technical Skills:
• Proficiency in scripting languages like Bash, Python, or Ruby.
• Strong experience with containerization technologies like Docker and orchestration tools like Kubernetes.
• Knowledge of configuration management tools (Ansible, Puppet, Chef).
• Experience with CI/CD tools (Jenkins, GitLab CI/CD, CircleCI).
• Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK Stack).
• Understanding of networking concepts and security best practices.
• Soft Skills:
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced environment and manage multiple tasks.

Preferred Qualifications:

• Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation.
• Knowledge of microservices architecture and serverless computing.
• Familiarity with database administration (SQL and NoSQL databases).
• Experience with Agile methodologies and working in a Scrum or Kanban environment.
• Passion for sustainability and interest in ESG initiatives.

Benefits:

• Competitive salary and benefits package,and performance bonuses.
• Flexible working hours and remote work options.
• Opportunity to work on impactful projects that promote sustainability.
• Professional development opportunities, including access to training and conferences.

• Must have a minimum of 3 years of experience in managing AWS resources and automating CI/CD pipelines.
• Strong scripting skills in PowerShell, Python or Bash be able to build and administer CI/CD pipelines.
• Knowledge of infrastructure tools like Cloud Formation, Terraform, Ansible.
• Experience with microservices and/or event-driven architecture.
• Experience using containerization technologies (Docker, ECS, Kubernetes, Mesos or Vagrant).
• Strong practical Windows and Linux system administration skills in the cloud.
• Understanding of DNS, NFS, TCP/IP and other protocols.
• Knowledge of secure SDLC, OWASP top 10 and CWE/SANS top 25.
• Deep understanding of Web Sockets and their functioning. Hands on experience of ElasticCache, Redis, ECS or EKS. Installation, configuration and management of Apache or Nginx web server, Apache/Tomcat Application Server, configure SSL certificates, setup reverse proxy.
• Exposure to RDBMS (MySQL, SQL Server, Aurora, etc.) is a plus.
• Exposure to programming languages like JAVA, PHP, SQL is a plus.
• AWS Developer or AWS SysOps Administrator certification is a plus.
• AWS Solutions Architect Certification experience is a plus.
• Experience building Blue/Green, Canary or other zero down time deployment strategies, advanced understanding of VPC, EC2 Route53 IAM, Lambda is a plus.

• Experience working in advanced iterative methodologies such as Agile and Safe.
• Experience with containers and orchestration (Docker, Kubernetes).
• Comfortable working in complex and demanding environments with high degree of change.
• Ability to view system perspective and to perform thorough investigations.
• Experience in frequent delivery to production.
• Microservice-based architecture (Jenkins, Docker, CI/CD, ELK)
• Experience with modern software components (Mongo, Elasticsearch, Kafka).
• Expertise in software development methodologies.
• Understanding of protocols/technologies like HTTP, SSL, LDAP, SSH, SAML, etc.
• Possession of a deep knowledge of development workflows with Git.
• Experience with MySQL or another relational database Environment.
• Automation testing (component, integration and end2end)

Position: DevOps Engineer

Job Description

The candidate should have the following Skills:

- Hands-on experience with DevOps & CICD open source tools (Jenkins, ), including AWS DevOps services (CodePipeline, CloudFormation, etc).

- Experience in building and deploying using Java/Python/Node.js on Cloud infrastructure (Docker or Kubernetes containers or Lambda.)

- Exposure to Cloud operations, releases, and configuration management

- Experience in implementing Non-functional requirements for microservices, including performance, security, compliance, HA and Disaster Recovery.

- Good soft skills, great attitude, and passion for working in a product startup environment

Total Experience of 2-5 years post BE or BTech or MCA in Computer Science Engineering.

• Should have strong experience in working Configuration Management area, with tools preferably, TFSVC, TFS vNext OR GIT, SVN, Jenkins
• Strong working experience in tools related to Application Lifecycle Management, like Microsoft TFS
• Should have hands-on working experience in CICD (Continuous Integration Continuous Deployment) practices
• Strong be expertise in handling software builds & release mgmt. activities in Dotnet based environment / Java environment
• Strong skills in Perl or PowerShell or in any other scripting/automation/programming language
• Should have exposure to various build environments like dotNet, Java
• Should have experience with writing build scripts, automation of daily/nightly builds & deployment
• Good knowledge in Merging /Branching concepts.
• Good understanding of product life cycle management"
• Shall be very good technically; possess systems mindset and good problem-solving abilities
• Working with multisite teams, Quality conscious and Process & customer Oriented
• Self-starter and quick learner and ability to work with minimal supervision
• Can play a key role in the team
• Strong team player with a “can-do” attitude
• Ability to handle conflicts
• Ability to stay focused on the target in an ambiguous situation
• Good communication and documentation skills"