Devops Engineer

Everestek Technosoft Solutions; Mumbai, Surat, Indore District; Remote; INR 1,000,000 - 2,000,000; Full time

Job summary

Everestek Technosoft Solutions is seeking a Mid-Level DevOps Engineer to design and manage scalable AWS infrastructure and automate deployments using Terraform and Python. You will work with modern CI/CD pipelines and container orchestration in a remote role, collaborating with architects and development teams.

The position emphasizes AI-assisted automation, cloud security, observability, and cost optimization, requiring strong Linux skills and networking basics for reliable production systems.

Qualifications

• 3+ years of hands-on cloud DevOps experience.
• Hands-on experience with Infrastructure as Code using Terraform and AWS services.
• Experience building and maintaining CI/CD pipelines with modern tools.
• Strong Python scripting for automation and tooling.
• Proficiency with Linux environments and networking basics.

Responsibilities

• Design, provision, and manage secure, scalable AWS infrastructure using Infrastructure as Code.
• Build, maintain, and enhance reusable Terraform modules and cloud infrastructure automation.
• Design, implement, and optimize CI/CD pipelines for build, test, security, and deployment.
• Deploy and manage containerized applications using Docker and ECS/Kubernetes.
• Develop Python-based automation tools and internal utilities to streamline provisioning and deployments.
• Implement monitoring, logging, dashboards, and alerting for production workloads.
• Collaborate with architects and dev teams to deliver secure, scalable cloud solutions.

Skills

AWS cloud platforms

Terraform

CI/CD pipelines

Docker & Kubernetes

Python automation

Linux environments

Networking basics

Git & code reviews

Cloud security best practices

Monitoring & observability

Tools

Terraform

AWS CloudFormation

AWS CDK

GitHub Actions

Jenkins

AWS CodePipeline

CircleCI

Docker

Amazon ECS

Kubernetes

CloudWatch

Grafana

Prometheus

New Relic

ELK/OpenSearch

Job description

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, and

  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.