Senior Devops Engineer

Job Title : Senior DevOps Engineer

Experience : 5+ Years

Location : Gurgaon, Sector 39

About the Role :

We are seeking an experienced Senior DevOps Engineer to lead our DevOps practices, manage a small team, and build functional, scalable systems that enhance customer experience. You will be responsible for deployments, automation, troubleshooting, integrations, monitoring, and team mentoring while ensuring secure and efficient operations.

Mandatory Skills :

Linux Administration, Shell Scripting, CI/CD (Jenkins), Git/GitHub, Docker, Kubernetes, AWS, Ansible, Database Administration (MariaDB/MySQL/MongoDB), Apache httpd/Tomcat, HAProxy, Nagios, Keepalived, Monitoring/Logging/Alerting, and On-premise Server Management.

Key Responsibilities :

• Implement and manage integrations as per business and customer needs.
• Deploy product updates, fixes, and enhancements.
• Provide Level 2 technical support and resolve production issues.
• Build tools to reduce errors and improve system performance.
• Develop scripts and automation for CI/CD, monitoring, and visualization.
• Perform root cause analysis of incidents and implement long-term fixes.
• Ensure robust monitoring, logging, and alerting systems are in place.
• Manage on-premise servers and ensure smooth deployments.
• Collaborate with development teams for system integration.
• Mentor and guide a team of 3 to 4 engineers.

Required Qualifications & Experience :

• Bachelor’s degree in Computer Science, Software Engineering, IT, or related field (Master’s preferred).
• 5+ years of experience in DevOps engineering with team management exposure.
• Strong expertise in:
• Linux Administration & Shell Scripting
• CI/CD pipelines (Jenkins or similar)
• Git/GitHub, branching, and code repository standards
• Docker, Kubernetes, AWS, Ansible
• Database administration (MariaDB, MySQL, MongoDB)
• Web servers (Apache httpd, Apache Tomcat)
• Networking & Load Balancing tools (HAProxy, Keepalived)
• Monitoring & alerting tools (Nagios, logging frameworks)
• On-premise server management
• Strong debugging, automation, and system troubleshooting skills.
• Knowledge of security best practices including data encryption.

Personal Attributes :

• Excellent problem-solving and analytical skills.
• Strong communication and leadership abilities.
• Detail-oriented with a focus on reliability and performance.
• Ability to mentor juniors and collaborate with cross-functional teams.
• Keen interest in emerging DevOps and cloud trends.

We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.

The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.

Required Experience

• 6 – 10 Years of overall IT experience
• Strong experience in AIOps / MLOps / DevOps engineering
• Hands-on enterprise experience in Azure Cloud platform engineering

Key Responsibilities

AIOps / MLOps

• Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
• Ensure AI platform reliability, governance, security, and model performance optimization.
• Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
• Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
• Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
• Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
• Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
• Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts

Preferred Skills

• Python, MLflow, Model Registry, Experiment Tracking
• Azure DevOps & Azure Cloud
• Azure Machine Learning
• LLMOps / Generative AI operationalization
• AI model deployment and lifecycle management
• AI Gateway and Model Serving architectures
• Azure OpenAI & Azure AI Foundry
• MCP Server implementation and configuration  
• CI/CD Automation & AKS

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

We seek a skilled and motivated Azure DevOps engineer to join our dynamic team. The ideal candidate will design, implement, and manage CI/CD pipelines, automate deployments, and optimize cloud infrastructure using Azure DevOps tools and services. You will collaborate closely with development and IT teams to ensure seamless integration and delivery of software solutions in a fast-paced environment.

Responsibilities:

• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure provisioning and deployments using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Azure CLI.
• Monitor and optimize Azure environments to ensure high availability, performance, and security.
• Collaborate with development, QA, and IT teams to streamline the software development lifecycle (SDLC).
• Troubleshoot and resolve issues related to build, deployment, and infrastructure.
• Implement and manage version control systems, primarily using Git.
• Manage containerization and orchestration using tools like Docker and Kubernetes.
• Ensure compliance with industry standards and best practices for security, scalability, and reliability.

∙Need 8+ years of experience in Devops CICD 

∙Managing large-scale AWS deployments using Infrastructure as Code (IaC) and k8s developer tools 

∙Managing build/test/deployment of very large-scale systems, bridging between developers and live stacks 

∙Actively troubleshoot issues that arise during development and production 

∙Owning, learning, and deploying SW in support of customer-facing applications 

∙Help establish DevOps best practices 

∙Actively work to reduce system costs 

∙Work with open-source technologies, helping to ensure robustness and secureness of said technologies 

∙Actively work with CI/CD, GIT and other component parts of the build and deployment system 

∙Leading skills with AWS cloud stack 

∙Proven implementation experience with Infrastructure as Code (Terraform, Terragrunt, Flux, Helm charts) 

at scale 

∙Proven experience with Kubernetes at scale 

∙Proven experience with cloud management tools beyond AWS console (k9s, lens) 

∙Strong communicator who people want to work with – must be thought of as the ultimate collaborator 

∙Solid team player 

∙Strong experience with Linux-based infrastructures and AWS 

∙Strong experience with databases such as MySQL, Redshift, Elasticsearch, Mongo, and others 

∙Strong knowledge of JavaScript, GIT 

∙Agile practitioner 

Job Responsibilities:

• Managing and maintaining the efficient functioning of containerized applications and systems within an organization
• Design, implement, and manage scalable Kubernetes clusters in cloud or on-premise environments
• Develop and maintain CI/CD pipelines to automate infrastructure and application deployments, and track all automation processes
• Implement workload automation using configuration management tools, as well as infrastructure as code (IaC) approaches for resource provisioning
• Monitor, troubleshoot, and optimize the performance of Kubernetes clusters and underlying cloud infrastructure
• Ensure high availability, security, and scalability of infrastructure through automation and best practices
• Establish and enforce cloud security standards, policies, and procedures Work agile technologies
• 
  

Primary Requirements:

• Kubernetes: Proven experience in managing Kubernetes clusters (min. 2-3 years)
• Linux/Unix: Proficiency in administering complex Linux infrastructures and services
• Infrastructure as Code: Hands-on experience with CM tools like Ansible, as well as the 
• knowledge of resource provisioning with Terraform or other Cloud-based utilities
• CI/CD Pipelines: Expertise in building and monitoring complex CI/CD pipelines to 
• manage the build, test, packaging, containerization and release processes of software
• Scripting & Automation: Strong scripting and process automation skills in Bash, Python
• Monitoring Tools: Experience with monitoring and logging tools (Prometheus, Grafana)
• Version Control: Proficient with Git and familiar with GitOps workflows.
• Security: Strong understanding of security best practices in cloud and containerized 
• environments.

Skills/Traits that would be an advantage:

• Kubernetes administration experience, including installation, configuration, and troubleshooting
• Kubernetes development experience
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team

Role Summary

In this role, you will lead the DevOps function at the organisation and work through all

facets of software development: design, prototype, implementation, testing and

documentation.

Responsibilities

• Design, prototype, implement, test and troubleshoot deployment strategies
• BS in Computer Science, Mathematics, Engineering or equivalent. MS or higher degree
• preferred.
• Design continuous integration and delivery pipelines using latest tools and platformsv
• Demonstrated understanding and hands-on experience in Kubernetes, K8s-Ingress,
• Docker, AWS EC2, VPC, Route53, ELB, RDS, MongoDB, Helm, Rancher, Jenkins,
• VPN, GKE.
• Create high level deployment design (HLSD) documents and outline software solutions
• Strong DevOps Management experience with focus on server-side development and
• database design
• Optimize application for maximum speed and scalability
• Strong understanding of web technologies, web services, communication protocols,
• (REST, SOAP API’s) and a proven track record in developing communication between
• desktop applications and web services
• Knowledge of Agile software development methodologies
• Cooperating with the back-end developer in the process of building the RESTful API

Qualification

• Experience with working on code enhancements within a large, complex software
• system
• Create server side deployment primarily in the Cloud, Collaboration space
• 10+ years of relevant experience in developing and managing web/app products.
• Experience with a few of these languages: Shell, Ruby/ JRuby, Python, PowerShell, Java,
• Go
• Hands-on experience in deploying and managing highly scalable cloud applications
• using AWS,Google Cloud
• Assure that all user input is validated before submitting to back-end
• Basic understanding of cloud security and hands on experience in building secure
• systems.
• Prepare accurate implementation task lists / time estimates and deliver assignments as
• per functional specifications, quality standards and project schedulesvvvv

Role : SRE

Experience : 4 - 8 Years

• Experience in building, deploying and operating cloud solutions on Kubernetes
• Strong expertise administrating and scaling Kubernetes on bare metal and CKA preferred
• Expertise on K8s Interfaces CNI, CSI, CRI and Service meshe
• Hands-on experience as a DevOps or Automation development
• Demonstrable knowledge of TCP/IP, Linux operating system internals, filesystems, disk/storage technologies and storage protocols.
• Experience working with Helm Charts and building out Infrastructure As Code (IaC)
• Experience in writing software to automate orchestration tasks at scale; we commonly use Python, Go, and Shell scripting
• Knowledge of systems (Linux, GNU tooling), networking (OSI model, DNS, routing) and virtualization vs containerization
• Expertise in CI/CD tooling for cloud-based applications specifically Terraform / CloudFormation, Jenkins and Git
• Architected CNF Orchestration with Kubernetes
• Strong understanding of the principles of 12-factor apps and modern containerized microservices
• Plan for reliability by designing systems to work across our multi-region and multi-cloud environments
• Experience developing and using Application & Integration stacks/tools such as Kafka, Spring Cloud, Apache Camel, Kubernetes, Docker, Redis, Knative, and NoSQL

Below is the Job Description for the position of DevOps Azure Engineer in Xceedance co.

Qualifications BE/ B.Tech/ MCA in computer science

Key Requirement for the Position Develop Azure application design and connectivity patterns, Azure networking topologies, and Azure storage facilities.
• Run code conformance tools as part of releases.
• Design Azure app service web app by using Azure CLI, PowerShell, and other tools.
• Implement containerized solution using Docker and Azure Kubernetes Service
• Automating the build and deployment process through Azure DevOps approach and tools from development to production
• Design and implement CI/CD pipelines
• Script and update build and deployments.
• Coordinate environment usage and alignment.
• Develop, maintain, and optimize automated deployments code for development, test, staging and production environments.
• Configure the application and container platform with proactive monitoring tools and trigger alerts through communication channels
• Develop infrastructure and platform code
• Effectively contribute to building the overall knowledge and expertise of the technical team
• Provide Level 2/3 technical support
Location Noida or Gurgaon

• Install, configuration management, performance tuning and monitoring of Web, App and Database servers.
• Install, setup and management of Java, PHP and NodeJS stack with software load balancers.
• Install, setup and administer MySQL, Mongo, Elasticsearch & PostgreSQL DBs.
• Install, set up and maintenance monitoring solutions for like Nagios, Zabbix.
• Design and implement DevOps processes for new projects following the department's objectives of automation.
• Collaborate on projects with development teams to provide recommendations, support and guidance.
• Work towards full automation, monitoring, virtualization and containerization.
• Create and maintain tools for deployment, monitoring and operations.
• Automation of processes in a scalable and easy to understand way that can be detailed and understood through documentation.
• Develop and deploy software that will help drive improvements towards the availability, performance, efficiency, and security of services.
• Maintain 24/7 availability for responsible systems and be open to on-call rotation.