Senior AWS Platform Engineer/DevOps-Remote.

Senior AWS Platform Engineer/DevOps-Remote.

Posted 2 days ago by mProgen

Negotiable
Undetermined
Remote
Remote

Summary: The Senior AWS Platform Engineer/DevOps role requires extensive experience in platform engineering and cloud technologies, particularly AWS. The position emphasizes automation, observability, and collaboration within an Agile environment. Candidates should have a strong interest in AI and LLM frameworks, alongside advanced skills in Terraform and CI/CD pipeline design. This is a remote position aimed at seasoned professionals with a deep understanding of cloud infrastructure and DevOps practices.

Key Responsibilities:

  • Design and implement platform engineering solutions using AWS services.
  • Utilize observability tools for monitoring and performance optimization.
  • Automate infrastructure deployment and management using Terraform.
  • Collaborate with cross-functional teams in an Agile environment.
  • Engage with AI/LLM frameworks and contribute to their lifecycle management.

Key Skills:

  • 8+ years of experience in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).
  • Deep proficiency in AWS services, including IAM, CloudWatch, Bedrock, and Lambda.
  • Experience with observability tools such as Dynatrace, Jaeger, or Honeycomb.
  • Familiarity with LLM lifecycle and frameworks like LangChain or AgentCore.
  • Advanced skills in Terraform and CI/CD pipeline design.
  • Experience with Agile methodologies and tools like Microsoft Teams and Confluence.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Requirements

Experience: 8+ years in Platform Engineering, DevOps, or Site Reliability Engineering (SRE).

Cloud Expertise: Deep proficiency in AWS (IAM, CloudWatch, Bedrock, Lambda).

Observability Tools: Proven experience with Dynatrace, Jaeger, or Honeycomb, and distributed tracing standards.

AI/LLM Interest: Familiarity with the LLM lifecycle, including prompt execution, token usage, and frameworks like LangChain or AgentCore.

Automation: Advanced experience with Terraform and CI/CD pipeline design.

Collaboration: Experience working in an Agile environment with integrated tools like Microsoft Teams and Confluence.