
DESIRED SKILLS AND EXPERIENCE
Strong analytical and problem-solving skills
Ability to work independently, learn quickly and be proactive
3-5 years overall and at least 1-2 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

Similar jobs
Lightning Job By Cutshort ⚡
As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)
Job Overview:
We are seeking an experienced DevOps Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the infrastructure and software systems required to support our development and production environments. The ideal candidate should have a strong background in Linux, GitHub, Actions/Jenkins, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.
Kindly apply at https://wohlig.keka.com/careers/jobdetails/54566
Responsibilities:
• Design, implement and maintain CI/CD pipelines using GitHub, Actions/Jenkins, Kubernetes, Helm, and ArgoCD.
• Deploy and manage Kubernetes clusters using AWS.
• Configure and maintain Envoy Proxy and Cert-Manager to automate deployment and manage application environments.
• Monitor system performance using Datadog, ELK, and Cloudflare tools.
• Automate infrastructure management and maintenance tasks using Terraform, Ansible, or similar tools.
• Collaborate with development teams to design, implement and test infrastructure changes.
• Troubleshoot and resolve infrastructure issues as they arise.
• Participate in on-call rotation and provide support for production issues.
Qualifications:
• Bachelor's or Master's degree in Computer Science, Engineering or a related field.
• 3+ years of experience in DevOps engineering with a focus on Linux, GitHub, Actions/CodeFresh, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.
• Strong understanding of Linux administration and shell scripting.
• Experience with automation tools such as Terraform, Ansible, or similar.
• Ability to write infrastructure as code using tools such as Terraform, Ansible, or similar.
• Experience with container orchestration platforms such as Kubernetes.
• Familiarity with container technologies such as Docker.
• Experience with cloud providers such as AWS.
• Experience with monitoring tools such as Datadog and ELK.
Skills:
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work independently or in a team environment.
• Strong attention to detail.
• Ability to learn and apply new technologies quickly.
• Ability to work in a fast-paced and dynamic environment.
• Strong understanding of DevOps principles and methodologies.
Location: Remote
Job Description :
- Strong hands-on knowledge on Azure DevOps.
- Mandatory Skills required :Azure Devops,docker,Kubernetes
- Skills required : Terraform,GIT,Jenkins,CI/CD,Pipelines,YAML,Scripting,Shell Scripting,Python, Gradle, Maven
- Require only developer experience profiles, and Admin roles are not required
Senior DevOps Engineer
Experience: Minimum 5 years of relevant experience
Key Responsibilities:
• Hands-on experience with AWS tools and CI/CD pipelines, Redhat Linux
• Strong expertise in DevOps practices and principles
• Experience with infrastructure automation and configuration management
• Excellent problem-solving skills and attention to detail
Nice to Have:
• Redhat certification
We are looking for a DevOps Lead to join our team.
Responsibilities
• A technology Professional who understands software development and can solve IT Operational and deployment challenges using software engineering tools and processes. This position requires an understanding of both Software development (Dev) and deployment
Operations (Ops)
• Identity manual processes and automate them using various DevOps automation tools
• Maintain the organization’s growing cloud infrastructure
• Monitor and maintain DevOps environment stability
• Collaborate with distributed Agile teams to define technical requirements and resolve technical design issues
• Orchestrating builds and test setups using Docker and Kubernetes.
• Participate in designing and building Kubernetes, Cloud, and on-prem environments for maximum performance, reliability and scalability
• Share business and technical learnings with the broader engineering and product organization, while adapting approaches for different audiences
Requirements
• Candidates working for this position should possess at least 5 years of work experience as a DevOps Engineer.
• Candidate should have experience in ELK stack, Kubernetes, and Docker.
• Solid experience in the AWS environment.
• Should have experience in monitoring tools like DataDog or Newrelic.
• Minimum of 5 years experience with code repository management, code merge and quality checks, continuous integration, and automated deployment & management using tools like Jenkins, SVN, Git, Sonar, and Selenium.
• Candidates must possess ample knowledge and experience in system automation, deployment, and implementation.
• Candidates must possess experience in using Linux, Jenkins, and ample experience in configuring and automating the monitoring tools.
• The candidates should also possess experience in the software development process and tools and languages like SaaS, Python, Java, MongoDB, Shell scripting, Python, PostgreSQL, and Git.
• Candidates should demonstrate knowledge in handling distributed data systems.
Examples: Elastisearch, Cassandra, Hadoop, and others.
• Should have experience in GitLab- CIRoles and Responsibilities
Requirements
This person MUST have:
- B.E Computer Science or equivalent
- 2+ Years of hands-on experience troubleshooting/setting up of the Linux environment, who can write shell scripts for any given requirement.
- 1+ Years of hands-on experience setting up/configuring AWS or GCP services from SCRATCH and maintaining them.
- 1+ Years of hands-on experience setting up/configuring Kubernetes & EKS and ensuring high availability of container orchestration.
- 1+ Years of hands-on experience setting up CICD from SCRATCH in Jenkins & Gitlab.
- Experience configuring/maintaining one monitoring tool.
- Excellent verbal & written communication skills.
- Candidates with certifications - AWS, GCP, CKA, etc will be preferred
- Hands-on experience with databases (Cassandra, MongoDB, MySQL, RDS).
Experience:
- Min 3 years of experience as SRE automation engineer building, running, and maintaining production sites. Not looking for candidates who have experience only as L1/L2.
Location:
- Remotely, anywhere in India
Timings:
- The person is expected to deliver with both high speed and high quality as well as work for 40 Hours per week (~6.5 hours per day, 6 days per week) in shifts which will rotate every month.
Position:
- Full time/Direct
- We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
- We dont believe in locking in people with large notice periods. You will stay here because you love the company. We have only a 15 days notice period.
Job Description
Please connect me on Linkedin or share your Resume on shrashti jain
• 8+ years of overall experience and relevant of at least 4+ years. (Devops experience has be more when compared to the overall experience)
• Experience with Kubernetes and other container management solutions
• Should have hands on and good understanding on DevOps tools and automation framework
• Demonstrated hands-on experience with DevOps techniques building continuous integration solutions using Jenkins, Docker, Git, Maven
• Experience with n-tier web application development and experience in J2EE / .Net based frameworks
• Look for ways to improve: Security, Reliability, Diagnostics, and costs
• Knowledge of security, networking, DNS, firewalls, WAF etc
• Familiarity with Helm, Terraform for provisioning GKE,Bash/shell scripting
• Must be proficient in one or more scripting languages: Unix Shell, Perl, Python
• Knowledge and experience with Linux OS
• Should have working experience with monitoring tools like DataDog, Elk, and/or SPLUNK, or any other monitoring tools/processes
• Experience working in Agile environments
• Ability to handle multiple competing priorities in a fast-paced environment
• Strong Automation and Problem-solving skills and ability
• Experience of implementing and supporting AWS based instances and services (e.g. EC2, S3, EBS, ELB, RDS, IAM, Route53, Cloudfront, Elasticache).
•Very strong hands with Automation tools such Terraform
• Good experience with provisioning tools such as Ansible, Chef
• Experience with CI CD tools such as Jenkins.
•Experience managing production.
• Good understanding of security in IT and the cloud
• Good knowledge of TCP/IP
• Good Experience with Linux, networking and generic system operations tools
• Experience with Clojure and/or the JVM
• Understanding of security concepts
• Familiarity with blockchain technology, in particular Tendermint
- Works independently without any supervision
- Work on continuous improvement of the products through innovation and learning. Someone with a knack for benchmarking and optimization
- Experience in deploying highly complex, distributed transaction processing systems.
- Stay abreast with new innovations and the latest technology trends and explore ways of leveraging these for improving the product in alignment with the business.
- As a component owner, where the component impacts across multiple platforms (5-10-member team), work with customers to obtain their requirements and deliver the end-to-end project.
Required Experience, Skills, and Qualifications
- 5+ years of experience as a DevOps Engineer. Experience with the Golang cycle is a plus
- At least one End to End CI/CD Implementation experience
- Excellent Problem Solving and Debugging skills in DevOps area· Good understanding of Containerization (Docker/Kubernetes)
- Hands-on Build/Package tool experience· Experience with AWS services Glue, Athena, Lambda, EC2, RDS, EKS/ECS, ALB, VPC, SSM, Route 53
- Experience with setting up CI/CD pipeline for Glue jobs, Athena, Lambda functions
- Experience architecting interaction with services and application deployments on AWS
- Experience with Groovy and writing Jenkinsfile
- Experience with repository management, code scanning/linting, secure scanning tools
- Experience with deployments and application configuration on Kubernetes
- Experience with microservice orchestration tools (e.g. Kubernetes, Openshift, HashiCorp Nomad)
- Experience with time-series and document databases (e.g. Elasticsearch, InfluxDB, Prometheus)
- Experience with message buses (e.g. Apache Kafka, NATS)
- Experience with key-value stores and service discovery mechanisms (e.g. Redis, HashiCorp Consul, etc)
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery











