DevOps Engineer

Position Overview: 

We are seeking a highly motivated and skilled DevOps Engineer with 3-8 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in Linux, infrastructure automation, containerization, orchestration tools, and cloud platforms. This role offers an opportunity to work on cutting-edge technologies and contribute to the development and maintenance of scalable, secure, and efficient CI/CD pipelines. 

Key Responsibilities: 

● Design, implement, and maintain scalable CI/CD pipelines to streamline software development and deployment. 

● Manage, monitor, and optimize infrastructure using tools like Terraform for Infrastructure as Code (IaC). 

● Deploy, configure, and manage containerized applications using Docker and orchestrate them with Kubernetes. 

● Develop and maintain Helm charts for managing Kubernetes deployments.

● Automate repetitive operational tasks using scripting languages such as Python, Bash, or PowerShell. 

● Collaborate with development teams to ensure seamless integration and delivery of applications. 

● Monitor and troubleshoot system performance, ensuring high availability and reliability of services. 

● Configure and maintain cloud infrastructure on AWS.

● Implement and maintain security best practices in cloud environments and CI/CD pipelines. 

● Manage and optimize system logs and metrics using monitoring tools like Prometheus, Grafana, ELK Stack, or Cloud-native monitoring tools. 

Key Requirements: 

● Experience: 3-8 years in a DevOps or similar role. 

● Linux: Strong proficiency in Linux-based systems, including configuration, troubleshooting, and performance tuning is must

● IaC Tools: Hands-on experience with Terraform for infrastructure provisioning and automation. 

● Containerization: Proficient in using Docker to build, deploy, and manage containers. 

● Kubernetes: Experience with Kubernetes for container orchestration, including knowledge of deployments, services, pv, pvc and ingress controllers.

● Helm Charts: Familiarity with creating and managing Helm charts for Kubernetes applications. 

● CI/CD Tools: Knowledge of tools like Jenkins, GitHub Actions, GitLab CI/CD, or CircleCI for continuous integration and deployment. 

● Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). 

● Scripting: Proficiency in automation scripting using Python, Bash, or similar languages. 

● Monitoring: Understanding of monitoring and logging tools such as Prometheus, Grafana, or ELK Stack. 

● Version Control: Strong experience with version control tools like Git. 

Preferred Qualifications: 

● Knowledge of networking concepts (e.g., DNS, load balancing, firewalls).

● Familiarity with security practices such as role-based access control (RBAC) and secrets management. 

● Exposure to Agile/Scrum methodologies and tools like Jira. 

● Certification in any of the cloud platforms (AWS Certified DevOps Engineer, Azure DevOps Expert, or GCP Professional DevOps Engineer) is a plus. 

Soft Skills: 

● Strong problem-solving and troubleshooting skills. 

● Ability to work collaboratively in a team-oriented environment. 

● Excellent communication and documentation skills. 

● Proactive approach to learning new tools and technologies. 

Note: Experience over Linux is Must.

We are looking for very hands-on DevOps engineers with 3 to 6 years of experience. The person will be part of a 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 that 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 DevOps automation engineer buildingg, 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 that 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.

The AWS Cloud/Devops Engineer will be working with the engineering team and focusing on AWS infrastructure and automation.  A key part of the role is championing and leading infrastructure as code.  The Engineer will work closely with the Manager of Operations and Devops to build, manage and automate our AWS infrastructure. 

Duties & Responsibilities:

• Design cloud infrastructure that is secure, scalable, and highly available on AWS
• Work collaboratively with software engineering to define infrastructure and deployment requirements
• Provision, configure and maintain AWS cloud infrastructure defined as code
• Ensure configuration and compliance with configuration management tools
• Administer and troubleshoot Linux based systems
• Troubleshoot problems across a wide array of services and functional areas
• Build and maintain operational tools for deployment, monitoring, and analysis of AWS infrastructure and systems
• Perform infrastructure cost analysis and optimization

Qualifications:

• At least 1-5 years of experience building and maintaining AWS infrastructure (VPC, EC2, Security Groups, IAM, ECS, CodeDeploy, CloudFront, S3)
• Strong understanding of how to secure AWS environments and meet compliance requirements
• Expertise using Chef for configuration management
• Hands-on experience deploying and managing infrastructure with Terraform
• Solid foundation of networking and Linux administration
• Experience with CI-CD, Docker, GitLab, Jenkins, ELK and deploying applications on AWS
• Ability to learn/use a wide variety of open source technologies and tools
• Strong bias for action and ownership

Roles & Responsibilities :

• Champion engineering and operational excellence.
• Establish a solid infrastructure framework and excellent development and deployment processes.
• Provide technical guidance to both your team members and your peers from the development team.
• Work with the development teams closely to gather system requirements, new service proposals and large system improvements and come up with the infrastructure architecture leading to stable, well-monitored fly, performant and secure systems.
• Be part of and help create a positive work environment based on accountability.
• Communicate across functions and drive engineering initiatives.
• Initiate cross team collaboration with product development teams to develop high quality, polished products, and services.

Required Skills :

• 5+ years of professional experience developing and launching software products on Cloud.
• Basic understanding Java/Go Programming
• Good Understanding of Container Technologies/Orchestration platforms (e. g Docker, Kubernetes)
• Deep understanding of AWS or Any Cloud.
• Good understanding of data stores like Postgres, Redis, Kafka, and Elasticsearch.
• Good Understanding of Operating systems
• Strong technical background with track record of individual technical accomplishments
• Ability to handle multiple competing priorities in a fast-paced environment
• Ability to establish credibility with smart engineers quickly.
• Most importantly, ability to learn and urge to learn new things.
• B.Tech/M.Tech in Computer Science or a related technical field.

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