Vidorra Consulting Group
Full-Stack Cloud Engineer – Change Management Service
Skills
2 months ago
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Important information
Contract type:
Freelance / Contract
Location:
Mountain View, CA, USA
Work mode:
Onsite
Published on:
31 August 2026
What they need
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.
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