DevOps Engineer

Very strong infra engineer to administer Linux based VMs (and few Windows VMs as well).

Must have strong knowledge and hands-on on docker, Kubernetes

Must be good at monitoring (AppDynamics, Prometheus, Grafana) and logging (Splunk)

Develop automation scripts using Shell and Python. Must have good knowledge in Ansible.

Should be good at optimize/finetune server configurations.

 Should be good in troubleshoot issues and fix them.

We are hiring a Senior DevOps Engineer (5–10 years experience) with strong hands-on expertise in AWS, CI/CD, Docker, Kubernetes, and Linux. The role involves designing, automating, and managing scalable cloud infrastructure and deployment pipelines. Experience with Terraform/Ansible, monitoring tools, and security best practices is required. Immediate joiners preferred.

Roles and Responsibilities:

• AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems.
• Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources.
• Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration.
• Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.
• Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle.
• Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements. 

Mandatory Skills:

• Proven experience as a DevOps Engineer or similar role, with a focus on AWS.
• Strong proficiency in automated provisioning and cloud management.
• Experience with Infrastructure as Code tools, particularly Terraform and Packer.
• Solid understanding of CI/CD pipelines and version control systems.
• Strong scripting skills (e.g., Python, Bash) for automation tasks.
• Excellent problem-solving and troubleshooting skills.
• Good interpersonal and communication skills for effective collaboration.

Secondary Skills:

• AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Knowledge of microservices architecture and serverless computing.
• Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).

This company is a network of the world's best developers - full-time, long-term remote software jobs with better compensation and career growth.  We enable our clients to accelerate their Cloud Offering, and Capitalize on Cloud.  We have our own IOT/AI platform and we provide professional services on that platform to build custom clouds for their IOT devices.  We also build mobile apps, run 24x7 devops/site reliability engineering for our clients.

We are looking for very hands-on SRE (Site Reliability Engineering) engineers with 3 to 6 years of experience. The person will be part of team that is responsible for designing & implementing automation from scratch for medium to large scale cloud infrastructure and providing 24x7 services to our North American / European customers. This also includes ensuring ~100% uptime for almost 50+ internal sites. 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.

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 or Build & Deploy..

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.

Profile: DevOps Engineer
Experience: 5-8 Yrs
Notice Period: Immediate to 30 Days

Job Descrtiption:

Technical Experience (Must Have):
Cloud: Azure
DevOps Tool: Terraform, Ansible, Github, CI-CD pipeline, Docker, Kubernetes
Network: Cloud Networking
Scripting Language: Any/All - Shell Script, PowerShell, Python
OS: Linux (Ubuntu, RHEL etc)
Database: MongoDB

Professional Attributes: Excellent communication, written, presentation,
and problem-solving skills.

Experience: Minimum of 5-8 years of experience in Cloud Automation and
Application

Additional Information (Good to have):
Microsoft Azure Fundamentals AZ-900
Terraform Associate
Docker
Certified Kubernetes Administrator

Role:
Building and maintaining tools to automate application and
infrastructure deployment, and to monitor operations.
Design and implement cloud solutions which are secure, scalable,
resilient, monitored, auditable and cost optimized.
Implementing transformation from an as is state, to the future.
Coordinating with other members of the DevOps team, Development, Test,
and other teams to enhance and optimize existing processes.
Provide systems support,  implement monitoring and logging alerting
solutions that enable the production systems to be monitored.
Writing Infrastructure as Code (IaC) using Industry standard tools and
services.
Writing application deployment automation using industry standard
deployment and configuration tools.
Design and implement continuous delivery pipelines that serve the
purpose of provisioning and operating client test as well as production
environments.
Implement and stay abreast of Cloud and DevOps industry best practices
and tooling.

• Ensure reliable operation of CI/CD pipelines
• Orchestrate the provisioning, load balancing, configuration, monitoring and billing of resources in the cloud environment in a highly automated manner
• Logging, metrics and alerting management.
• Creation of Bash/Python scripts for automation
• Performing root cause analysis for production errors.

• 2 years experience as Team Lead.
• Good Command on kubernetes.
• Proficient in Linux Commands line and troubleshooting.
• Proficient in AWS Services. Deployment, Monitoring and troubleshooting applications in AWS.
• Hands-on experience with CI tooling preferably with Jenkins.
• Proficient in deployment using Ansible.
• Knowledge of infrastructure management tools (Infrastructure as cloud) such as terraform, AWS cloud formation etc.
• Proficient in deployment of applications behind load balancers and proxy servers such as nginx, apache.
• Scripting languages: Bash, Python, Groovy.
• Experience with Logging, Monitoring, and Alerting tools like ELK(Elastic-search, Logstash, Kibana), Nagios. Graylog, splunk Prometheus, Grafana is a plus.

BENEFITS: -

 Competitive salary and stock options -

 Premium medical benefits 

LOCATION: - Remote (India) 

EDUCATION AND EXPERIENCE - 

Degree in computer science, software engineering, or a related field - 

At least 3-5 years of professional work experience as a 

DevOps / test automation / deployment engineer -

 Experience in agile software development methodologies 

JOB RESPONSIBILITIES: -

 Design and development of scalable software test framework to automate test procedures - Perform health checks of existing sites periodically (manually and also developing a automation pipeline) - Manage per site software releases - 

Generate release notes, user guides, technical documentation -

 Perform upgrades/ downgrades (patch management) - 

Generate and Manage configurations - 

Suggest process improvements by interfacing with product owner - 

File process/installation/deployment related issues & tracking them - 

Verify customer-reported issues and translate them into technical tasks for development 

REQUIREMENTS:

 Following are must to have requirements, - 

Automation frameworks like Selenium etc. - 

Scripting languages like Perl, Python etc. - 

Linux systems - 

Version control system like git -

 Issue tracking system like Jira -

 Networking protocols -

 Cloud infrastructure - 

Ability to work individually and as part of a team with a sense of urgency -

 Excellent communication skills in written and verbal English - 

Great attention to detail 

PREFERRED: 

Following are good to have requirements, - 

Knowledge in any of the programming languages like C, C++ etc. 

Experience managing cloud-based (e.g., AWS, Google Cloud, etc.) and in-house server infrastructure - 

Familiarity with machine learning / artificial intelligence infrastructure - 

Experience in data visualization and statistics - 

Basic knowledge of hardware infrastructure containing routers, switches and others -

 Familiarity with web & data securityDesign and development of scalable software test framework to automate test