
Sr. DevOps Engineer L3
Hands on experience in:
- Deploying, managing, securing and patching enterprise applications on large scale in Cloud preferably AWS.
- Experience leading End-to-end DevOps projects with modern tools encompassing both Applications and Infrastructure
- AWS Code deploy, Code build, Jenkins, Sonarqube.
- Incident management and root cause analysis.
- Strong understanding of immutable infrastructure and infrastructure as code concepts. Participate in capacity planning and provisioning of new resources. Importing already deployed infra into IaaC.
- Utilizing AWS cloud services such as EC2, S3, IAM, Route53, RDS, VPC, NAT/IG Gateway, LAMBDA, Load Balancers, CloudWatch, API Gateway are some of them.
- AWS ECS managing multi cluster container environments (ECS with EC2 and Fargate with service discovery using Route53)
- Monitoring/analytics tools like Nagios/DataDog and logging tools like LogStash/SumoLogic
- Simple Notification Service (SNS)
- Version Control System: Git, Gitlab, Bitbucket
- Participate in Security Audit of Cloud Infrastructure.
- Exceptional documentation and communication skills.
- Ready to work in Shift
- Knowledge of Akamai is Plus.
- Microsoft Azure is Plus
- Adobe AEM is plus.
- AWS Certified DevOps Professional is plus

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Hiring for the below position with one of our premium client
Role: Senior DevOps Engineer
Exp:7+ years
Location: Chennai
Key skills: DevOps, Cloud, Python scripting
Description:
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
7-9 years overall and at least 3-4 years of hands-on experience in designing and managing DevOps Cloud infrastructure
Experience must include a combination of:
o Experience working with configuration management tools – Ansible, Chef, Puppet, SaltStack (expertise in at least one tool is a must)
o Ability to write and maintain code in at least one scripting language (Python preferred)
o Practical knowledge of shell scripting
o Cloud knowledge – AWS, VMware vSphere
o Good understanding and familiarity with Linux o Networking knowledge – Firewalls, VPNs, Load Balancers o Web/Application servers, Nginx, JVM environments
o Virtualization and containers - Xen, KVM, Qemu, Docker, Kubernetes, etc.
o Familiarity with logging systems - Logstash, Elasticsearch, Kibana o Git, Jenkins, Jira
If interested kindly apply!
- Configure, optimize, document, and support of the infrastructure components of software products (which are hosted in collocated facilities and cloud services such as AWS)
- Design and build tools and frameworks that support deployment and management and platforms
- Design, build, and deliver cloud computing solutions, hosted services, and underlying software infrastructures
- Build core functionality of our cloud-based platform product, deliver secure, reliable services and construct third party integrations
- Assist in coaching application developers on proper DevOps techniques for building scalable applications in the microservices paradigm
- Foster collaboration with software product development and architecture teams to ensure releases are delivered with repeatable and auditable processes
- Support and troubleshoot scalability, high availability, performance, monitoring, backup, and restores of different environments
- Work independently across multiple platforms and applications to understand dependencies
- Evaluate new tools, technologies, and processes to improve speed, efficiency, and scalability of continuous integration environments
- Design and architect solutions for existing client-facing applications as they are moved into cloud environments such as AWS
- Competencies
- Full understanding of scripting and automated process management in languages such as Shell, Ruby and/ or Python
- Working Knowledge SCM tools such as Git, GitHub, Bitbucket, etc.
- Working knowledge of Amazon Web Services and related APIs
- Ability to deliver and manage web or cloud-based services
- General familiarity with monitoring tools
- General familiarity with configuration/provisioning tools such as Terraform
- Experience
- Experience working within an Agile type environment
- 4+ years of experience with cloud-based provisioning (Azure, AWS, Google), monitoring, troubleshooting, and related DevOps technologies
- 4+ years of experience with containerization/orchestration technologies like Rancher, Docker and Kubernetes
About the Role:
We are seeking a talented and passionate DevOps Engineer to join our dynamic team. You will be responsible for designing, implementing, and managing scalable and secure infrastructure across multiple cloud platforms. The ideal candidate will have a deep understanding of DevOps best practices and a proven track record in automating and optimizing complex workflows.
Key Responsibilities:
Cloud Management:
- Design, implement, and manage cloud infrastructure on AWS, Azure, and GCP.
- Ensure high availability, scalability, and security of cloud resources.
Containerization & Orchestration:
- Develop and manage containerized applications using Docker.
- Deploy, scale, and manage Kubernetes clusters.
CI/CD Pipelines:
- Build and maintain robust CI/CD pipelines to automate the software delivery process.
- Implement monitoring and alerting to ensure pipeline efficiency.
Version Control & Collaboration:
- Manage code repositories and workflows using Git.
- Collaborate with development teams to optimize branching strategies and code reviews.
Automation & Scripting:
- Automate infrastructure provisioning and configuration using tools like Terraform, Ansible, or similar.
- Write scripts to optimize and maintain workflows.
Monitoring & Logging:
- Implement and maintain monitoring solutions to ensure system health and performance.
- Analyze logs and metrics to troubleshoot and resolve issues.
Required Skills & Qualifications:
- 3-5 years of experience with AWS, Azure, and Google Cloud Platform (GCP).
- Proficiency in containerization tools like Docker and orchestration tools like Kubernetes.
- Hands-on experience building and managing CI/CD pipelines.
- Proficient in using Git for version control.
- Experience with scripting languages such as Bash, Python, or PowerShell.
- Familiarity with infrastructure-as-code tools like Terraform or CloudFormation.
- Solid understanding of networking, security, and system administration.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and teamwork skills.
Preferred Qualifications:
- Certifications such as AWS Certified DevOps Engineer, Azure DevOps Engineer, or Google Professional DevOps Engineer.
- Experience with monitoring tools like Prometheus, Grafana, or ELK Stack.
- Familiarity with serverless architectures and microservices.
Responsibility :
- Install, configure, and maintain Kubernetes clusters.
- Develop Kubernetes-based solutions.
- Improve Kubernetes infrastructure.
- Work with other engineers to troubleshoot Kubernetes issues.
Kubernetes Engineer Requirements & Skills
- 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
Candidate must have a minimum of 8+ years of IT experience
IST time zone.
candidates should have hands-on experience in
DevOps (GitLab, Artifactory, SonarQube, AquaSec, Terraform & Docker / K8")
Thanks & Regards,
Anitha. K
TAG Specialist
As a MLOps Engineer in QuantumBlack you will:
Develop and deploy technology that enables data scientists and data engineers to build, productionize and deploy machine learning models following best practices. Work to set the standards for SWE and
DevOps practices within multi-disciplinary delivery teams
Choose and use the right cloud services, DevOps tooling and ML tooling for the team to be able to produce high-quality code that allows your team to release to production.
Build modern, scalable, and secure CI/CD pipelines to automate development and deployment
workflows used by data scientists (ML pipelines) and data engineers (Data pipelines)
Shape and support next generation technology that enables scaling ML products and platforms. Bring
expertise in cloud to enable ML use case development, including MLOps
Our Tech Stack-
We leverage AWS, Google Cloud, Azure, Databricks, Docker, Kubernetes, Argo, Airflow, Kedro, Python,
Terraform, GitHub actions, MLFlow, Node.JS, React, Typescript amongst others in our projects
Key Skills:
• Excellent hands-on expert knowledge of cloud platform infrastructure and administration
(Azure/AWS/GCP) with strong knowledge of cloud services integration, and cloud security
• Expertise setting up CI/CD processes, building and maintaining secure DevOps pipelines with at
least 2 major DevOps stacks (e.g., Azure DevOps, Gitlab, Argo)
• Experience with modern development methods and tooling: Containers (e.g., docker) and
container orchestration (K8s), CI/CD tools (e.g., Circle CI, Jenkins, GitHub actions, Azure
DevOps), version control (Git, GitHub, GitLab), orchestration/DAGs tools (e.g., Argo, Airflow,
Kubeflow)
• Hands-on coding skills Python 3 (e.g., API including automated testing frameworks and libraries
(e.g., pytest) and Infrastructure as Code (e.g., Terraform) and Kubernetes artifacts (e.g.,
deployments, operators, helm charts)
• Experience setting up at least one contemporary MLOps tooling (e.g., experiment tracking,
model governance, packaging, deployment, feature store)
• Practical knowledge delivering and maintaining production software such as APIs and cloud
infrastructure
• Knowledge of SQL (intermediate level or more preferred) and familiarity working with at least
one common RDBMS (MySQL, Postgres, SQL Server, Oracle)
Experience of Linux
Experience using Python or Shell scripting (for Automation)
Hands-on experience with Implementation of CI/CD Processes
Experience working with one cloud platforms (AWS or Azure or Google)
Experience working with configuration management tools such as Ansible & Chef
Experience working with Containerization tool Docker.
Experience working with Container Orchestration tool Kubernetes.
Experience in source Control Management including SVN and/or Bitbucket
& GitHub
Experience with setup & management of monitoring tools like Nagios, Sensu & Prometheus or any other popular tools
Hands-on experience in Linux, Scripting Language & AWS is mandatory
Troubleshoot and Triage development, Production issues
DevOps Consultant!! MERN Stack Project Manager – Systems (Enterprise or Solutions) Architect needed!
Hello superstar,
I appreciate you taking time to read this. I have posted a job for developers to work on a start-up, the link is ......
I would need someone with DevOps experience, to ensure that the project is undertaken with the highest standards possible. I have had many experiences where ‘completed’ software after years of development was filled with bugs and it would be more cost-effective to start from scratch than to attempt to find and correct all the bugs.
I have attempted to learn as much as possible, but I now have an opportunity and it would better serve the venture to have someone handle the management of the project to ensure that;
- We choose the most appropriate technology
- We choose competent developers in those technologies
- The architecture and data modeling are clearly defined in a ‘blueprint’ plan
- A DevOps environment and processes are set up and the developers understand what is required
- Proper tests are carried out to ensure everything works as intended
- There are processes for testers to follow and competent testers are selected to follow them
- Accessibility, localization, and internationalization are planned ahead of time
- Security, scalability, and other future probabilities that I may not even be aware of are considered and planned ahead of time
- Documentation and code reviews, refactoring and other quality assurance processes are undertaken
- Working software is produced and systems that enable new developers or teams of people to easily take over and/or contribute new modules or updates in a controlled and organized fashion
- Cost estimates or budgets/projections or use of SaaS, hosting and other 3rd party services and applications
I am more concerned with a professional and world-class organizational system than with any particular type of software been produced as the strong foundation will enable anything to be creating with efficacy and precision.
Again, thank you for reading this, please reply with the word “superstar” anywhere in the second line of your response. I look forward to hearing from you.
Warm wishes DevOps Evangelist,






