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Full-Stack Cloud Engineer – Change Management Service

Vidorra Consulting Group

On-siteMountain View, CAseniorPosted 5h ago

Job description

Full-Stack Cloud Engineer Change Management Service

Onsite in Mountain View, CA

About The Role

We are looking for an AI-native, full-stack cloud engineer to support and evolve our Change Management Service a critical platform governing how changes are deployed safely across the organization.

You will combine strong coding skills with deep AWS infrastructure knowledge, providing run-the-business (RTB) support while contributing meaningfully to feature development, tech refresh, and security initiatives.

Key Responsibilities

  • Provide on-call and RTB support for the Change Management Service.

  • Contribute to feature development across the full stack.

  • Drive and support tech refresh and security initiatives.

  • Troubleshoot issues across application, infrastructure, and deployment layers.

  • Champion engineering quality, testing, and operational best practices.

  • Collaborate with distributed teams on roadmap delivery.

Tech Stack

  • Languages: Go (Golang), Python, Java, Scala

  • AWS services: Lambda, CloudWatch, VPC, and related infrastructure

  • Cloud deployment pipelines and infrastructure-as-code practices

  • Observability, on-call, and incident tooling

Required Skills & Experience

  • 5 10 years of professional software engineering experience, ideally on cloud-native services.

  • Proven, verifiable results delivering and operating production cloud services e.g., shipped features with demonstrable impact, measurable reliability gains, or successful security/tech-refresh programs.

  • Strong programming skills in Go and Python; Java or Scala a plus.

  • Deep understanding of AWS cloud deployment at the infrastructure and engineering level.

  • Comfortable with cloud infrastructure fundamentals (Lambda, VPC, deployment flows).

  • Very comfortable with on-call rotations and RTB operations.

  • Passionate about engineering quality and mindful use of modern tooling.

  • Experience building and/or leveraging AI agents (e.g., agentic workflows, LLM-based automation, AI-assisted engineering tools) to improve productivity and outcomes.

What We Look For

  • Strong sense of ownership takes end-to-end responsibility for outcomes, not just tasks.

  • Self-motivated and proactive; able to operate independently with minimal supervision.

  • A good team player who collaborates effectively across teams, geographies, and time zones.

  • Proven track record of delivering measurable results in previous roles.