Job Title: DevOps Engineer
Company: Codewinglet Pvt Ltd
Location: Surat, Gujarat
(Must be based in Surat or willing to relocate)
Experience: 1-6 Years
Employment Type: Full-time
Work Mode: Work from Office (WFO)
About Codewinglet
Codewinglet Pvt. Ltd. is an AI-first engineering company building modern software products and solutions across AI, web, backend, and cloud technologies.
Role Overview
We are looking for a hands-on DevOps Engineer to build, automate, secure, and maintain reliable cloud infrastructure and deployment pipelines. You will work with cloud, Terraform, Docker, Kubernetes, Helm, CI/CD, and monitoring tools to improve deployment efficiency and production reliability.
You will take ownership of infrastructure and delivery tasks from implementation through troubleshooting and continuous improvement, collaborating closely with development and engineering teams. You will also contribute to technical design decisions, infrastructure reviews, incident resolution, and knowledge sharing.
Key Responsibilities
- Build, maintain, and troubleshoot CI/CD pipelines and application deployments across environments.
- Provision and manage AWS infrastructure using Terraform and infrastructure-as-code best practices.
- Manage containerized applications using Docker, Kubernetes, and Helm.
- Monitor systems, investigate incidents, identify root causes, and implement preventive improvements.
- Apply cloud security best practices, manage secrets, and support vulnerability remediation.
- Optimize cloud costs, performance, availability, and resource utilization.
- Follow change-management practices and maintain technical documentation.
- Collaborate with development teams on automation, infrastructure design, and release reliability.
Required Technical Skills
- Linux & Networking: Linux administration, troubleshooting, TCP/IP, DNS, HTTP/S, firewalls, load balancers, and AWS networking (VPC, subnets, routing, security groups).
- Git & Scripting: Git workflows, branching strategies, and Bash or Python scripting.
- Containers & Orchestration: Docker, Kubernetes fundamentals, and hands-on Helm chart development, configuration, releases, and troubleshooting.
- CI/CD: Practical experience with GitHub Actions, Jenkins, GitLab CI, or an equivalent platform; automated builds, testing, deployments, and rollbacks.
- AWS: Hands-on experience with services such as EC2, VPC, IAM, S3, RDS, CloudWatch, and EKS or ECS.
- Terraform: Infrastructure provisioning, reusable modules, remote state, state locking, environment separation, and plan/apply workflows.
- Monitoring & Security: Metrics, logs, dashboards, alerts, incident troubleshooting, least-privilege IAM, secret management, and vulnerability scanning.
Good To Have (Preferred Skills)
- Experience with Azure or Google Cloud Platform (GCP).
- GitOps tools such as Argo CD or Flux.
- DevSecOps tools such as Trivy, Gitleaks, SonarQube, or Snyk.
- OpenTelemetry, distributed tracing, SRE practices, or FinOps.
- Relevant certifications such as AWS SAA / DOP, CKA, CKAD, or Terraform Associate.
Eligibility Criteria
- Experience: 1-6 years in DevOps, SRE, cloud infrastructure, or platform engineering.
- Education: Relevant degree or equivalent practical experience.
- Certifications: Cloud, Kubernetes, or Terraform certifications are preferred but not mandatory.
- Willingness to work onsite in Surat and participate in operational support as required.
What You Will Gain
- Hands-on ownership of real-world cloud infrastructure and deployment workflows.
- Opportunities to work on infrastructure design, automation, security, and cloud optimization.
- Structured learning paths, learning materials, and support for professional development.
- Growth opportunities toward Senior DevOps Engineer, Platform Engineer, or SRE roles.
Soft Skills We Value
- Ownership, systematic problem-solving, curiosity, clear communication, collaboration, proactiveness, composure, and continuous improvement.
Why Join Codewinglet?
- Modern products and technologies in an AI-first engineering environment.
- Real-time AI projects, including AI Agents and GenAI systems.
- High-growth, fast-paced learning environment.
- Exposure to the latest technologies and live projects.
- Supportive and transparent leadership.
- Clear career growth and performance-based appraisals.
- Competitive & industry-aligned salary.
- Stable team culture with regular engagement activities.
- Flexible working hours and 5-day work week.
- On-time salary disbursement.
