Devops Engineer

∙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 

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 Overview:

We are looking for a seasoned OpenStack Administrator with strong expertise in managing large-scale production environments. The ideal candidate should have hands-on experience with Linux, Kubernetes, and OpenShift, and be capable of performing routine maintenance, upgrades, and troubleshooting in complex cloud infrastructures.

The candidate must also be comfortable working with Red Hat support, managing escalations, and communicating effectively with both internal teams and external clients.

Key Skills & Qualifications:

• Proven experience managing OpenStack infrastructure in production.
• Strong proficiency in Linux system administration (RHEL/CentOS preferred).
• Hands-on experience with Kubernetes and OpenShift.
• Experience with system monitoring, log management, and troubleshooting tools.
• Familiarity with RH support portal, managing cases, and following up on resolutions.
• Excellent problem-solving skills and ability to work under pressure.
• Strong client communication skills and ability to articulate technical issues clearly.
• Proven ability to work in and manage large-scale production environments.

Candidates with OpenStack certification will be preferred.

• Install, configure, and maintain Kubernetes clusters.
• Develop Kubernetes-based solutions.
• Improve Kubernetes infrastructure.
• Work with other engineers to troubleshoot Kubernetes issues.

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

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

• 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.

• You have a Bachelor's degree in computer science or equivalent
• You have at least 7 years of DevOps experience.
• You have deep understanding of AWS and cloud architectures/services.
• You have expertise within the container and container orchestration space (Docker, Kubernetes, etc.).
• You have experience working with infrastructure provisioning tools like CloudFormation, Terraform, Chef, Puppet, or others.
• You have experience enabling CI/CD pipelines using tools such as Jenkins, AWS Code Pipeline, Gitlab, or others.
• You bring a deep understanding and application of computer science fundamentals: data structures, algorithms, and design patterns.
• You have a track record of delivering successful solutions and collaborating with others.
• You take security into account when building new systems.

Job Description :

- The engineer should be highly motivated, able to work independently, work and guide other engineers within and outside the team. 

- The engineer should possess varied software skills in Shell scripting, Linux, Oracle database, WebLogic, GIT, ANT, Hudson, Jenkins, Docker and Maven

- Work is super fun, non-routine, and, challenging, involving the application of advanced skills in area of specialization.

Key responsibilities :

- Design, develop, troubleshoot and debug software programs for Hudson monitoring, installing Cloud Software, Infra and cloud application usage monitoring.

Required Knowledge :

- Source Configuration management, Docker, Puppet, Ansible, Application and Server Monitoring, AWS, Database Administration, Kubernetes, Log monitoring, CI/CD, Design and implement build, deployment, and configuration management, Improve infrastructure development, Scripting language.

- Good written and verbal communication skills

Qualification :

Education and Experience : Bachelors/Masters in Computer Science

Open for 24- 7 shifts