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Staff Engineer-DevOps
Staff Engineer-DevOps
Gruve's logo

Staff Engineer-DevOps

Reshika Mendiratta's profile picture
Posted by Reshika Mendiratta
8yrs+
Upto ₹50L / yr (Varies
)
Bengaluru (Bangalore), Pune
Skills
DevOps
CI/CD
skill iconGit
skill iconKubernetes
Ansible
Terraform
skill iconAmazon Web Services (AWS)
Windows Azure
Google Cloud Platform (GCP)
skill icongrafana
prometheus
skill iconPython

About the Company:

Gruve is an innovative Software Services startup dedicated to empowering Enterprise Customers in managing their Data Life Cycle. We specialize in Cyber Security, Customer Experience, Infrastructure, and advanced technologies such as Machine Learning and Artificial Intelligence. Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As an well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.

 

Why Gruve:

At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you’re passionate about technology and eager to make an impact, we’d love to hear from you.

Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.

 

Position summary:

We are seeking a Staff Engineer – DevOps with 8-12 years of experience in designing, implementing, and optimizing CI/CD pipelines, cloud infrastructure, and automation frameworks. The ideal candidate will have expertise in Kubernetes, Terraform, CI/CD, Security, Observability, and Cloud Platforms (AWS, Azure, GCP). You will play a key role in scaling and securing our infrastructure, improving developer productivity, and ensuring high availability and performance. 



Key Roles & Responsibilities:

  • Design, implement, and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, ArgoCD, and Tekton.
  • Deploy and manage Kubernetes clusters (EKS, AKS, GKE) and containerized workloads.
  • Automate infrastructure provisioning using Terraform, Ansible, Pulumi, or CloudFormation.
  • Implement observability and monitoring solutions using Prometheus, Grafana, ELK, OpenTelemetry, or Datadog.
  • Ensure security best practices in DevOps, including IAM, secrets management, container security, and vulnerability scanning.
  • Optimize cloud infrastructure (AWS, Azure, GCP) for performance, cost efficiency, and scalability.
  • Develop and manage GitOps workflows and infrastructure-as-code (IaC) automation.
  • Implement zero-downtime deployment strategies, including blue-green deployments, canary releases, and feature flags.
  • Work closely with development teams to optimize build pipelines, reduce deployment time, and improve system reliability. 


Basic Qualifications:

  • A bachelor’s or master’s degree in computer science, electronics engineering or a related field
  • 8-12 years of experience in DevOps, Site Reliability Engineering (SRE), or Infrastructure Automation.
  • Strong expertise in CI/CD pipelines, version control (Git), and release automation.
  •  Hands-on experience with Kubernetes (EKS, AKS, GKE) and container orchestration.
  • Proficiency in Terraform, Ansible for infrastructure automation.
  • Experience with AWS, Azure, or GCP services (EC2, S3, IAM, VPC, Lambda, API Gateway, etc.).
  • Expertise in monitoring/logging tools such as Prometheus, Grafana, ELK, OpenTelemetry, or Datadog.
  • Strong scripting and automation skills in Python, Bash, or Go.


Preferred Qualifications 

  • Experience in FinOps Cloud Cost Optimization) and Kubernetes cluster scaling.
  • Exposure to serverless architectures and event-driven workflows.
  • Contributions to open-source DevOps projects. 
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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Gruve

Founded :
2024
Type :
Services
Size :
100-1000
Stage :
Bootstrapped

About

Gruve was founded on the premise that new technologies in Machine Learning, Data Sciences, Artificial Intelligence, and Software Development are transforming Enterprise Services. Our goal is to harness these advancements to deliver services with superior efficiency and tangible outcomes.


Our Team

Our team is built with a strong background in Software and Services, united by a shared sense of Purpose: to achieve the best outcomes for our clients. We value all our stakeholders, recognizing that People are our most important assets. We adopt a Process framework that ensures the delivery of high-quality results every time.


What Sets Us Apart

Our differentiation is straightforward: we genuinely care, we innovate, we disrupt, and we work hard.


Our Core Values:

Customer Success: Putting customers first.

Positive Feedback Loop: Embracing continuous improvement.

Pursuit & Persevere: Staying resilient and ambitious.

Integrity and Ethics: Acting with honesty and ethics.

Team & Trust: Collaborating with trust and respect.

Giving Back: Committing to community and responsibility.


Gruve is Norwegian for "To Mine or Mining Activity"

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  • Sum Insured: INR. 25,00,000/- Per Employee
  • Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
  • Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
  • Temporary Total Disability is covered

  • An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver  benefit
  • Monthly Internet Reimbursement of upto Rs. 1,000 
  • Opportunity to pursue Executive Programs/ courses at top universities globally
  • Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others

                                                       *******************

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Squareboat Solutions Private Limited
at Squareboat Solutions Private Limited
1 video
8 recruiters
Ayushi Rathour
Posted by Ayushi Rathour
NCR (Delhi | Gurgaon | Noida)
2 - 6 yrs
₹3L - ₹4L / yr
DevOps
System Administration
Google Cloud Storage
Linux/Unix
Job Description Are you passionate about system administration, coding, scripting and process automation? Responsibilities: - Deploying, automating, maintaining and managing AWS cloud based production system, to ensure the availability, performance, scalability and security of productions systems. - Build, release and configuration management of production systems. - Pre-production Acceptance Testing to help assure the quality of our products / services. - System troubleshooting and problem solving across platform and application domains. - Suggesting architecture improvements, recommending process improvements. - Evaluate new technology options and vendor products. - Ensuring critical system security through the use of best in class cloud security solutions. - Keeping an update related to developer tools,DevOps cloud computing,Continuous Integration,Continuous Deployment, Blue Green Deployment, Continuous Monitoring, Automate Infrastructure, Continuous Delivery and Continuous Build, Continuous Testing. Requirements: - AWS: 1+ years experience with using a broad range of AWS technologies which will be covering EC2, RDS, ELB, EBD, S3, VPC, Glacier, IAM, CloudWatch, Docker, Lambda etc. to develop and maintain AWS based cloud solutions, with focus on practicing cloud security. - Solid experience as a DevOps Engineer in a 24x7 uptime Amazon AWS environment, including automation experience with configuration management tools. - Scripting Skills: Strong scripting and automation skills. - Operating Systems: Windows and Linux system administration. - Monitoring Tools: Experience with system monitoring tools . - Problem Solving: Ability to analyze and resolve complex infrastructure resource and application deployment issues. Skills: System Administration, Linux, DevOps, AWS/EC2/ELB/S3/DynamoDB, Google Cloud Platform, AWS
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