Devops (Executive - Devops)

Position: DevOps Engineer / Senior DevOps Engineer

Experience: 3 to 6 Years

Key Skills: AWS, Terraform, Docker, Kubernetes, DevSecOps pipeline

Job Description:

• AWS Infrastructure: Architect, deploy, and manage AWS services like EC2, S3, RDS, Lambda, SageMaker, API Gateway, and VPC.
• Networking: Proficient in subnetting, endpoints, NACL, security groups, VPC flow logs, and routing.
• API Management: Design and manage secure, scalable APIs using AWS API Gateway.
• CI/CD Pipelines: Build and maintain CI/CD pipelines with AWS CodePipeline, CodeBuild, and CodeDeploy.
• Automation & IaC: Use Terraform and CloudFormation for automating infrastructure management.
• Containerization & Kubernetes: Expertise in Docker, Kubernetes, and managing containerized deployments.
• Monitoring & Logging: Implement monitoring with AWS CloudWatch, CloudTrail, and other tools.
• Security: Apply AWS security best practices using IAM, KMS, Secrets Manager, and GuardDuty.
• Cost Management: Monitor and optimize AWS usage and costs.
• Collaboration: Partner with development, QA, and operations teams to enhance productivity and system reliability.

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).

We are seeking an experienced Lead DevOps Engineer with deep expertise in Kubernetes infrastructure design and implementation. This role requires someone who can architect, build, and manage enterprise-grade Kubernetes clusters from the ground up. You’ll lead modernization initiatives, shape infrastructure strategy, and work with cutting-edge cloud-native technologies.

🚀 Key Responsibilities

Infrastructure Design & Implementation

• Architect and design enterprise-grade Kubernetes clusters across AWS, Azure, and GCP.
• Build production-ready Kubernetes infrastructure with HA, scalability, and security best practices.
• Implement Infrastructure as Code with Terraform, Helm, and GitOps workflows.
• Set up monitoring, logging, and observability for Kubernetes workloads.
• Design and execute backup and disaster recovery strategies for containerized applications.

Leadership & Team Management

• Lead a team of 3–4 DevOps engineers, providing technical mentorship.
• Drive best practices in containerization, orchestration, and cloud-native development.
• Collaborate with development teams to optimize deployment strategies.
• Conduct code reviews and maintain infrastructure quality standards.
• Build knowledge-sharing culture with documentation and training.

Operational Excellence

• Manage and scale CI/CD pipelines integrated with Kubernetes.
• Implement security policies (RBAC, network policies, container scanning).
• Optimize cluster performance and cost-efficiency.
• Automate operations to minimize manual interventions.
• Ensure 99.9% uptime for production workloads.

Strategic Planning

• Define the infrastructure roadmap aligned with business needs.
• Evaluate and adopt new cloud-native technologies.
• Perform capacity planning and cloud cost optimization.
• Drive risk assessment and mitigation strategies.

🛠 Must-Have Technical Skills

Kubernetes Expertise

• 6+ years of hands-on Kubernetes experience in production.
• Deep knowledge of Kubernetes architecture (etcd, API server, scheduler, kubelet).
• Advanced Kubernetes networking (CNI, Ingress, Service mesh).
• Strong grasp of Kubernetes storage (CSI, PVs, StorageClasses).
• Experience with Operators and Custom Resource Definitions (CRDs).

Infrastructure as Code

• Terraform (advanced proficiency).
• Helm (developing and managing complex charts).
• Config management tools (Ansible, Chef, Puppet).
• GitOps workflows (ArgoCD, Flux).

Cloud Platforms

• Hands-on experience with at least 2 of the following:
• AWS: EKS, EC2, VPC, IAM, CloudFormation
• Azure: AKS, VNets, ARM templates
• GCP: GKE, Compute Engine, Deployment Manager

CI/CD & DevOps Tools

• Jenkins, GitLab CI, GitHub Actions, Azure DevOps
• Docker (advanced optimization and security practices)
• Container registries (ECR, ACR, GCR, Docker Hub)
• Strong Git workflows and branching strategies

Monitoring & Observability

• Prometheus & Grafana (metrics and dashboards)
• ELK/EFK stack (centralized logging)
• Jaeger/Zipkin (tracing)
• AlertManager (intelligent alerting)

💡 Good-to-Have Skills

• Service Mesh (Istio, Linkerd, Consul)
• Serverless (Knative, OpenFaaS, AWS Lambda)
• Running databases in Kubernetes (Postgres, MongoDB operators)
• ML pipelines (Kubeflow, MLflow)
• Security tools (Aqua, Twistlock, Falco, OPA)
• Compliance (SOC2, PCI-DSS, GDPR)
• Python/Go for automation
• Advanced Shell scripting (Bash/PowerShell)

🎓 Qualifications

• Bachelor’s in Computer Science, Engineering, or related field.
• Certifications (preferred):
• Certified Kubernetes Administrator (CKA)
• Certified Kubernetes Application Developer (CKAD)
• Cloud provider certifications (AWS/Azure/GCP).

Experience

• 6–7 years of DevOps/Infrastructure engineering.
• 4+ years of Kubernetes in production.
• 2+ years in a lead role managing teams.
• Experience with large-scale distributed systems and microservices.

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. 

Oddr is looking for a skilled backend engineer to help us build scalable multi-tenanted enterprise Cloud applications. The ideal candidate should be able to bring new ideas to the table and design and develop distributed microservices with a strong emphasis on security, resiliency, scalability, performance, and quality. The candidate should have a solid understanding of CI/CD concepts and familiarity with building deployment pipelines. The candidate should be a self-motivated team player and take pride in what they deliver.

The candidate should be interested in a long-term stable career to grow with our company. The candidate will need to work late night hours because of the geographic distribution of the team.

Requirements:

• Strong understanding of CI/CD concepts and experience building deployment pipelines
• Strong knowledge of working with a CI/CD automation server like Jenkins
• Experience working with Docker containers and Kubernetes
• Familiarity working with Azure tools and services
• Good working knowledge of .NET Core and C#
• Familiarity with Cloud development concepts
• Experience with API-driven development and developing RESTful APIs
• Ability to write clean, well-structured code with adequate test coverage, proper abstraction, and reusability
• Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements
• Excellent communication skills
• Excellent problem-solving skills

Minimum qualifications required:

• Bachelor's degree or relevant certification from a reputable institute
• 3-5 years of experience.

1. GCP Cloud experience mandatory
2. CICD - Azure DevOps
3. IaC tools – Terraform
4. Experience with IAM / Access Management within cloud
5. Networking / Firewalls
6. Kubernetes / Helm / Istio