[Remote] Platform Engineer - Terraform
Note: The job is a remote job and is open to candidates in USA. SRM Digital LLC is seeking a Platform Engineer to design, build, and operate scalable, secure, highly available, and automated cloud platforms. The role focuses on infrastructure-as-code, Kubernetes, DevSecOps, CI/CD, observability, automation, reliability, and improving developer experience and platform operations.
Responsibilities
- Design, implement, and manage scalable Infrastructure-as-Code (IaC) solutions using Terraform, Crossplane, Helm, and/or CloudFormation
- Design and support highly available, scalable, secure, and reliable cloud infrastructure across AWS, Azure, or GCP
- Build, manage, and optimize Kubernetes and containerized environments using Docker and Kubernetes
- Develop and maintain CI/CD pipelines using tools such as Jenkins, GitHub Actions, GitLab CI, and ArgoCD
- Implement automated deployment, release, and infrastructure management processes with a focus on zero-downtime deployments
- Develop reusable platform services, automation frameworks, and self-service capabilities to improve developer productivity
- Monitor, troubleshoot, and optimize cloud infrastructure, Kubernetes platforms, CI/CD pipelines, and production systems
- Implement observability solutions using tools such as Prometheus, Grafana, OpenTelemetry, ELK, and Datadog
- Integrate security controls, IAM, compliance requirements, and DevSecOps practices throughout infrastructure and deployment pipelines
- Identify opportunities to eliminate operational toil through automation, scripting, AI-assisted solutions, and agentic workflows
- Improve platform scalability, reliability, performance, availability, and cloud cost efficiency
- Collaborate with engineering, security, operations, and product teams to define platform architecture, standards, and technical priorities
- Troubleshoot complex infrastructure and production issues and implement long-term corrective solutions
- Evaluate emerging cloud-native and DevOps technologies and recommend appropriate solutions
- Develop technical documentation covering architecture, platform standards, operational procedures, and troubleshooting processes
- Mentor junior engineers and promote engineering best practices, automation, and continuous improvement
- Participate in a 12-hour on-call rotation to support production environments
Skills
- Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience
- 3–10 years of hands-on experience in Platform Engineering, Cloud Engineering, DevOps, SRE, or Cloud Infrastructure Engineering
- Strong hands-on experience with Infrastructure-as-Code, particularly Terraform
- Strong experience with Kubernetes and Docker in production environments
- Experience with at least one major cloud platform: AWS, Azure, or GCP
- Proficiency in Python, Go, Bash, or similar scripting/programming languages
- Hands-on experience with CI/CD and GitOps technologies such as Jenkins, GitHub Actions, GitLab CI, or ArgoCD
- Strong understanding of cloud infrastructure, networking, security, IAM, and distributed systems
- Experience implementing DevOps automation and improving software delivery processes
- Strong troubleshooting, debugging, and production incident-management skills
- Ability to work effectively with cross-functional engineering and business teams
- Strong communication skills with the ability to explain technical decisions, architecture, and complex infrastructure concepts clearly
- Experience with Crossplane, Helm, or CloudFormation
- Experience with observability platforms such as Prometheus, Grafana, OpenTelemetry, ELK, or Datadog
- Knowledge of cloud security, compliance, IAM, and DevSecOps practices
- Experience supporting large-scale cloud-native or SaaS platforms
- Experience with Agile/Scrum development environments
- Experience implementing platform engineering, developer self-service, or internal developer platforms
- Experience with AI-assisted development, automation frameworks, or agentic workflows
- Experience with cloud cost optimization and FinOps practices
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