
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.

Similar jobs
Profile: Devops Lead
Location: Gurugram
Experience: 08+ Years
Notice Period: can join Immediate to 1 week
Company: Watsoo
Required Skills & Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 5+ years of proven hands-on DevOps experience.
- Strong experience with CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.).
- Expertise in containerization & orchestration (Docker, Kubernetes, Helm).
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Proficiency in Infrastructure as Code (IaC) tools (Terraform, Ansible, Pulumi, or CloudFormation).
- Experience with monitoring and logging solutions (Prometheus, Grafana, ELK, CloudWatch, etc.).
- Proficiency in scripting languages (Python, Bash, or Shell).
- Knowledge of networking, security, and system administration.
- Strong problem-solving skills and ability to work in fast-paced environments.
- Troubleshoot production issues, perform root cause analysis, and implement preventive measures.
Advocate DevOps best practices, automation, and continuous improvement
Role: Full-Time, Long-Term Required: Docker, GCP, CI/CD Preferred: Experience with ML pipelines
OVERVIEW
We are seeking a DevOps engineer to join as a core member of our technical team. This is a long-term position for someone who wants to own infrastructure and deployment for a production machine learning system. You will ensure our prediction pipeline runs reliably, deploys smoothly, and scales as needed.
The ideal candidate thinks about failure modes obsessively, automates everything possible, and builds systems that run without constant attention.
CORE TECHNICAL REQUIREMENTS
Docker (Required): Deep experience with containerization. Efficient Dockerfiles, layer caching, multi-stage builds, debugging container issues. Experience with Docker Compose for local development.
Google Cloud Platform (Required): Strong GCP experience: Cloud Run for serverless containers, Compute Engine for VMs, Artifact Registry for images, Cloud Storage, IAM. You can navigate the console but prefer scripting everything.
CI/CD (Required): Build and maintain deployment pipelines. GitHub Actions required. You automate testing, building, pushing, and deploying. You understand the difference between continuous integration and continuous deployment.
Linux Administration (Required): Comfortable on the command line. SSH, diagnose problems, manage services, read logs, fix things. Bash scripting is second nature.
PostgreSQL (Required): Database administration basics—backups, monitoring, connection management, basic performance tuning. Not a DBA, but comfortable keeping a production database healthy.
Infrastructure as Code (Preferred): Terraform, Pulumi, or similar. Infrastructure should be versioned, reviewed, and reproducible—not clicked together in a console.
WHAT YOU WILL OWN
Deployment Pipeline: Maintaining and improving deployment scripts and CI/CD workflows. Code moves from commit to production reliably with appropriate testing gates.
Cloud Run Services: Managing deployments for model fitting, data cleansing, and signal discovery services. Monitor health, optimize cold starts, handle scaling.
VM Infrastructure: PostgreSQL and Streamlit on GCP VMs. Instance management, updates, backups, security.
Container Registry: Managing images in GitHub Container Registry and Google Artifact Registry. Cleanup policies, versioning, access control.
Monitoring and Alerting: Building observability. Logging, metrics, health checks, alerting. Know when things break before users tell us.
Environment Management: Configuration across local and production. Secrets management. Environment parity where it matters.
WHAT SUCCESS LOOKS LIKE
Deployments are boring—no drama, no surprises. Systems recover automatically from transient failures. Engineers deploy with confidence. Infrastructure changes are versioned and reproducible. Costs are reasonable and resources scale appropriately.
ENGINEERING STANDARDS
Automation First: If you do something twice, automate it. Manual processes are bugs waiting to happen.
Documentation: Runbooks, architecture diagrams, deployment guides. The next person can understand and operate the system.
Security Mindset: Secrets never in code. Least-privilege access. You think about attack surfaces.
Reliability Focus: Design for failure. Backups are tested. Recovery procedures exist and work.
CURRENT ENVIRONMENT
GCP (Cloud Run, Compute Engine, Artifact Registry, Cloud Storage), Docker, Docker Compose, GitHub Actions, PostgreSQL 16, Bash deployment scripts with Python wrapper.
WHAT WE ARE LOOKING FOR
Ownership Mentality: You see a problem, you fix it. You do not wait for assignment.
Calm Under Pressure: When production breaks, you diagnose methodically.
Communication: You explain infrastructure decisions to non-infrastructure people. You document what you build.
Long-Term Thinking: You build systems maintained for years, not quick fixes creating tech debt.
EDUCATION
University degree in Computer Science, Engineering, or related field preferred. Equivalent demonstrated expertise also considered.
TO APPLY
Include: (1) CV/resume, (2) Brief description of infrastructure you built or maintained, (3) Links to relevant work if available, (4) Availability and timezone.
The candidate must have 2-3 years of experience in the domain. The responsibilities include:
● Deploying system on Linux-based environment using Docker
● Manage & maintain the production environment
● Deploy updates and fixes
● Provide Level 1 technical support
● Build tools to reduce occurrences of errors and improve customer experience
● Develop software to integrate with internal back-end systems
● Perform root cause analysis for production errors
● Investigate and resolve technical issues
● Develop scripts to automate visualization
● Design procedures for system troubleshooting and maintenance
● Experience working on Linux-based infrastructure
● Excellent understanding of MERN Stack, Docker & Nginx (Good to have Node Js)
● Configuration and managing databases such as Mongo
● Excellent troubleshooting
● Experience of working with AWS/Azure/GCP
● Working knowledge of various tools, open-source technologies, and cloud services
● Awareness of critical concepts in DevOps and Agile principles
● Experience of CI/CD Pipeline
We are looking for a DevOps Engineer (individual contributor) to maintain and build upon our next-generation infrastructure. We aim to ensure that our systems are secure, reliable and high-performing by constantly striving to achieve best-in-class infrastructure and security by:
- Leveraging a variety of tools to ensure all configuration is codified (using tools like Terraform and Flux) and applied in a secure, repeatable way (via CI)
- Routinely identifying new technologies and processes that enable us to streamline our operations and improve overall security
- Holistically monitoring our overall DevOps setup and health to ensure our roadmap constantly delivers high-impact improvements
- Eliminating toil by automating as many operational aspects of our day-to-day work as possible using internally created, third party and/or open-source tools
- Maintain a culture of empowerment and self-service by minimizing friction for developers to understand and use our infrastructure through a combination of innovative tools, excellent documentation and teamwork
Tech stack: Microservices primarily written in JavaScript, Kotlin, Scala, and Python. The majority of our infrastructure sits within EKS on AWS, using Istio. We use Terraform and Helm/Flux when working with AWS and EKS (k8s). Deployments are managed with a combination of Jenkins and Flux. We rely heavily on Kafka, Cassandra, Mongo and Postgres and are increasingly leveraging AWS-managed services (e.g. RDS, lambda).

Job Description:
• Contribute to customer discussions in collecting the requirement
• Engage in internal and customer POC’s to realize the potential solutions envisaged for the customers.
• Design/Develop/Migrate VRA blueprints and VRO workflows; strong hands-on knowledge in vROPS and integrations with application and VMware solutions.
• Develop automation scripts to support the design and implementation of VMware projects.
Qualification:
• Maintain current, high-level technical knowledge of the entire VMware product portfolio and future product direction and In depth level knowledge
• Maintain deep technical and business knowledge of cloud computing and networking applications, industry directions, and trends.
• Experience with REST API and/or Python programming. TypeScript/NodeJS backend experience
• Experience with Kubernetes
• Familiarity with DevOps tools like Ansible, Puppet, Terraform
• End to end experience in Architecture, Design and Development of VMware Cloud Automation suite with good exposure to VMware products and/or Solutions.
• Hands-on experience in automation, coding, debugging and release.
• Sound process knowledge from requirement gathering, implementation, deployment and Support.
• Experience in working with global teams, customers and partners with solid communication skills.
• VMware CMA certification would be a plus
• Academic background in MS/BE/B-Tech/ IT/CS/ECE/EE would be preferred.
- Experience using AWS (that’s just common sense)
- Experience designing and building web environments on AWS, which includes working with services like EC2, ELB, RDS, and S3
- Experience building and maintaining cloud-native applications
- A solid background in Linux/Unix and Windows server system administration
- Experience using https://www.simplilearn.com/tutorials/devops-tutorial/devops-tools" target="_blank">DevOps tools in a cloud environment, such as Ansible, Artifactory, https://www.simplilearn.com/tutorials/docker-tutorial/what-is-docker-container" target="_blank">Docker, GitHub, https://www.simplilearn.com/tutorials/jenkins-tutorial/what-is-jenkins" target="_blank">Jenkins, https://www.simplilearn.com/tutorials/kubernetes-tutorial/what-is-kubernetes" target="_blank">Kubernetes, Maven, and Sonar Qube
- Experience installing and configuring different application servers such as JBoss, Tomcat, and WebLogic
- Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus
- An understanding of writing Infrastructure-as-Code (IaC), using tools like CloudFormation or Terraform
- Knowledge of one or more of the most-used programming languages available for today’s cloud computing (i.e., SQL data, XML data, R math, Clojure math, Haskell functional, Erlang functional, Python procedural, and Go procedural languages)
- Experience in troubleshooting distributed systems
- Proficiency in script development and scripting languages
- The ability to be a team player
- The ability and skill to train other people in procedural and technical topics
- Strong communication and collaboration skills
As a special aside, an AWS engineer who works in DevOps should also have experience with:
- The theory, concepts, and real-world application of Continuous Delivery (CD), which requires familiarity with tools like AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline
- An understanding of automation

We are looking for a System Engineer who can manage requirements and data management in Rational Doors and Siemens Polarion. You will be part of a global development team with resources in China, Sweden and the US.
Responsibilities and tasks
- Import of requirement specifications to DOORS module
- Create module structure according to written specification (e-mail, word, etc)
- Format: reqif, word, excel, pdf, csv
- Make adjustments to data required to be able to import to tool
- Review that the result is readable and possible to work with
- Import of information to new or existing modules in DOORS
- Feedback of Compliance status from an excel compliance matrix to a module in DOORS
- Import requirements from one module to another based on baseline/filter…
- Import lists of items: Test cases, documents, etc in excel or csv to a module
- Provide guidance on format to information holder at client
- Link information/attribute data from one module to others
- Status, test results, comment
- Link requirements according to information from the client in any given format
- Export data and reports
- Assemble report based on data from one or several modules according to filters/baseline/written requests in any given format
- Export statistics from data in DOORS modules
- Create filters in DOORS modules
Note: Polarion activities same as DOORS activities, but process, results and structure may vary
Requirements – Must list (short, and real must, no order)
- =>10 years of overall experience in Automotive Industry
- Having requirement management experience in the automotive industry.
- =>3 years of experience in Rational Doors as user
- Knowledge in Siemens Polarion, working knowledge is a plus
- Experience in offshore delivery for more than 7 years
- Able to lead a team of 3 to 5 people and manage temporary additions to team
- Having working knowledge in ASPICE and handling requirements according to ASPICE L2
- Experience in setting up offshore delivery that best fits the expectations of the customer
- Experience in setting up quality processes and ways of working
- Experience in metrics management – propose, capture and share metrics with internal/ external stakeholders
- Good Communication skills in English
Requirements - Good to have list, strictly sorted in falling priority order
- Experience in DevOps framework of delivery
- Interest in learning new languages
- Handling requirements according to ASPICE L3
- Willingness in travel, travel to Sweden may be needed (approx. 1-2 per year)
Soft skills
- Candidate must be driving and proactive person, able to work with minimum supervision and will be asked to give example situations incoming interviews.
- Good team player with attention to detail, self-disciplined, able to manage their own time and workload, proactive and motivated.
- Strong sense of responsibility and commitment, innovative thinking.







