AWS DevOps Engineer (Senior)
Team: DevOps and Cloud Engineering
Location: Mumbai, MH
Commitment: Full time (Remote)
Workplace Type: remote
What you will do?
- Automate infrastructure creation using Terraform and AWS CloudFormation.
- Perform application configuration management and enable Infrastructure as Code (IaC) through deployment tools.
- Own and manage the build and release cycle for customer projects.
- Share responsibilities for deploying releases and other operations and maintenance activities.
- Enhance operations infrastructure such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools like Graphite and Grafana.
- Provide operational support for the engineering team and help migrate legacy infrastructure to the cloud.
- Establish and enforce operational best practices.
- Actively participate in hiring culturally aligned engineers and mentoring them in their career growth.
- Collaborate with founders to design team strategy and contribute to long-term technical planning.
- Work across distributed teams (US & India) and collaborate with customer SMEs to ensure business logic alignment.
What are we looking for?
- 4+ years of experience with Terraform for Infrastructure as Code (IaC).
- 4+ years of experience in configuration management and systems engineering, supporting large-scale Agile environments.
- 4+ years of Linux or Windows administration experience.
- 4+ years of working with Git and solid understanding of branching and merging strategies.
- 2+ years of hands-on experience with AWS infrastructure and platform services.
- 2+ years of experience with cloud automation tools such as Ansible or Chef.
- 2+ years of experience with container orchestration tools like Kubernetes (EKS), AWS ECS, and Docker.
- You are proactive and solutions-oriented, with a strong drive to improve reliability and scalability.
You will be preferred if
- Expertise with multiple cloud service providers: AWS, Azure, GCP.
- AWS Certifications: Solutions Architect (Associate/Professional) or DevOps Professional.
- Hands-on experience with data pipelines, big data processing, or machine learning workflows on cloud platforms.
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