Devops Engineer

DevOps Engineer

Job Role: DevOps Engineer

Timing: Monday to Friday (3:00 PM IST to 1:00 AM IST)

Type: Full Time

Job Location: Remote

Summary

Everestek is a modern technology consulting and digital engineering company helping global

clients build scalable, secure, and cloud-native applications. We specialize in delivering

innovative solutions through Cloud, DevOps, Platform Engineering, AI-assisted Engineering, and

Automation.

We are looking for a Mid-Level DevOps Engineer with hands-on experience in cloud platforms

(AWS preferred, Azure/GCP exposure is a plus), Infrastructure as Code, CI/CD automation,

Python development, and cloud operations. You will work closely with architects, technical leads,

and development teams to build reliable cloud infrastructure, automate software delivery,

develop internal engineering tools, and establish modern DevOps and AI-driven engineering

practices across the organization.

The ideal candidate should be passionate about automation, cloud technologies, AI-assisted

engineering, platform engineering, and continuously improving developer productivity through

intelligent automation.

Key Qualifications & Skills

1. 3+ years of hands-on experience working with one or more public cloud platforms (AWS

preferred, Azure and/or GCP experience is a plus).

2. Hands-on experience with Infrastructure as Code using Terraform (preferred), AWS

CloudFormation, or AWS CDK.

3. Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins,

AWS CodePipeline, CircleCI, or similar tools.

4. Experience with containerization technologies such as Docker and container

orchestration platforms like Amazon ECS or Kubernetes.

5. Good understanding of cloud networking, compute, storage, identity, databases,

monitoring, and security services, with hands-on experience in AWS services including

IAM, EC2, VPC, S3, CloudWatch, Lambda, API Gateway, ECS, RDS, DynamoDB,

Route53, Secrets Manager, KMS, ACM, and Systems Manager (SSM).

6. Strong experience working in Linux environments.

7. Strong programming skills in Python for automation, REST API integrations, CLI utilities,

serverless applications, and developer tooling. Experience with Bash scripting is

expected, while PowerShell, Java, or Node.js experience is a plus.

8. Good understanding of networking concepts including TCP/IP, DNS, HTTP/HTTPS, Load

Balancers, SSL/TLS, reverse proxies, and VPC networking.

9. Understanding of cloud security best practices including IAM, Security Groups,

encryption at rest and in transit, secrets management, and least privilege access.

10. Experience with Git and modern version control workflows including pull requests and

code reviews.

11. Experience implementing monitoring, logging, dashboards, and alerting using

CloudWatch, Grafana, Prometheus, New Relic, ELK/OpenSearch, or similar tools.

12. Experience troubleshooting production systems and participating in incident response.

13. Experience with relational databases (MySQL, PostgreSQL) and NoSQL databases

(DynamoDB, MongoDB).

14. Understanding of reusable Infrastructure as Code modules, remote state management,

environment separation, and infrastructure lifecycle management.

15. Experience with infrastructure cost optimization and cloud resource tagging is a plus.

16. Experience with GitOps, Policy as Code, or security scanning tools is a plus.

17. AWS Certification (Cloud Practitioner, Developer Associate, SysOps Administrator,

Solutions Architect Associate, or DevOps Engineer Professional) is a plus.

AI & Intelligent Automation

1. Experience using AI-assisted engineering tools such as GitHub Copilot, Codex, Gemini,

Claude code, Cursor, Windsurf, or similar tools.

2. Demonstrated ability to leverage Generative AI to improve engineering productivity

through automation, code generation, infrastructure analysis, documentation, incident

analysis, developer tooling, or DevOps workflows.

Job Role

1. Design, provision, and manage secure, scalable, and highly available AWS

cloud infrastructure using Infrastructure as Code.

2. Build, maintain, and enhance reusable Terraform modules and cloud

infrastructure automation.

3. Design, implement, and optimize CI/CD pipelines for application build,

testing, security scanning, and deployment.

4. Deploy and manage containerized applications using Docker and Amazon

ECS or Kubernetes.

5. Develop Python-based automation tools, scripts, internal utilities, and

integrations to streamline infrastructure provisioning, deployments,

operational tasks, and developer workflows.

6. Implement monitoring, centralized logging, dashboards, alerting, and

observability for production workloads.

7. Operate and continuously improve production platforms by monitoring

system health, troubleshooting incidents, performing root cause analysis,

and implementing preventive improvements.

8. Collaborate across multiple projects and cross-functional teams to deliver

secure, scalable, and high-quality cloud solutions.

9. Implement and enforce cloud security best practices, access controls,

secrets management, and compliance requirements.

10. Continuously improve infrastructure performance, scalability, availability,

and cloud cost optimization.

11. Design and develop AI-powered DevOps utilities and automation to improve

engineering productivity, deployment reliability, operational efficiency, and

developer experience.

12. Maintain technical documentation, deployment guides, architecture

diagrams, and operational runbooks.

13. Evaluate, adopt, and integrate AI-assisted engineering tools into DevOps

workflows while ensuring security, quality, and governance standards are

maintained.

14. Participate in production releases, infrastructure upgrades, disaster

recovery planning, and platform maintenance activities.

15. Build reusable DevOps standards, templates, and best practices to be

adopted across engineering teams.

16. Stay current with emerging cloud technologies, AI advancements, DevOps

best practices, and platform engineering trends, and proactively identify

opportunities to improve engineering efficiency through automation and AI.

17. Mentor junior engineers, conduct knowledge-sharing sessions, and

contribute to building a strong DevOps culture across the organization.

18. Champion AI-first engineering practices by identifying opportunities to

automate repetitive tasks, accelerate software delivery, and build reusable

AI-powered solutions for engineering teams.