RevStar Consulting Logo

RevStar Consulting

DevOps Forward Deployed Engineer Job Description (AI & Cloud)

Posted 5 Days Ago
Remote
3 Locations
Senior level
Remote
3 Locations
Senior level
Architects and manages cloud-native AI infrastructure, containerized workloads, serverless environments, and automated CI/CD pipelines. Builds Terraform-based infrastructure, implements observability, security controls, compliance automation, and cost optimization. Leads client discovery workshops, technical demonstrations, requirements gathering, cloud adoption roadmaps, and enterprise delivery while communicating complex architectures to stakeholders.
The summary above was generated by AI

Role Title: AI & Cloud DevOps Engineer

Reports To: Service Area Leader

Employment Type: Full-Time W2

Location: 100% Remote

At RevStar, we are a dynamic team of engineers, UX designers, and product managers committed to putting business first in the pursuit of excellence. As an Advanced Technology Partner, we deliver cloud-native web and mobile applications, building modern data and AI solutions that drive tangible value. We foster a remote-first culture where teams freely innovate and grow together, building meaningful outcomes that matter. Our ethos is guided by Service, Collaboration, Transparency, Accountability, and Quality.

Our Core Values:

  • Self-Mastery: We hold a high bar for how we think, communicate, and improve.
  • Ownership: We own outcomes, not just effort.
  • Shared Destiny: We rise or fall together.
The Opportunity

We are looking for a strategic AI & Cloud DevOps Engineer who bridges technical execution with client-facing consulting. In this role, you will architect cloud-native infrastructure, automate enterprise deployments, and collaborate directly with client stakeholders to align cloud and AI strategies with business outcomes. You will thrive in a fast-paced environment where autonomy, technical depth, and clear communication drive everyday success.

Key Pillars of Responsibility
  • Cloud & AI Architecture & Infrastructure: Architect, deploy, and manage scalable cloud and AI environments utilizing ECS, EKS, Lambda, S3, API Gateway, or AI platform services while ensuring security, reliability, and cost-efficiency.
  • Automation & CI/CD Pipelines: Build automated CI/CD pipelines and version-controlled Infrastructure as Code (IaC) using Terraform, GitHub, Azure DevOps, and cloud/AI tooling for seamless releases.
  • Observability & Optimization: Implement proactive monitoring, logging, and alerting solutions across multi-cloud and AI infrastructure environments to optimize performance and prevent operational incidents.
  • Client Engagement & Delivery: Lead discovery workshops, demo solutions, gather technical requirements, and build immediate credibility with enterprise client stakeholders.

Requirements
  • 7+ Years in Cloud & DevOps Engineering: Extensive background designing, deploying, and maintaining enterprise cloud infrastructure.
  • 5+ Years of Cloud or AI Platform Mastery: Deep hands-on experience across Anthropic, OpenAI, or AWS environments, serverless architectures, and containerized workloads.
  • 3+ Years in Consulting or Client-Facing Roles: Proven track record operating as an independent actor—autonomously leading workload assessments, architecting cloud adoption roadmaps, and driving client engagements with minimal oversight.
Technical Execution & Automation
  • Infrastructure as Code (IaC) & Containers: Advanced expertise in Terraform, container orchestration (such as AWS ECS/EKS or equivalent cloud container services), and automated provisioning.
  • CI/CD & DevSecOps: Mastery in building secure, automated pipelines (GitHub Actions, Azure DevOps, or cloud-native tooling) with integrated SAST/DAST, policy-as-code, and automated testing.
  • Security & Financial Operations (FinOps): Deep experience in cloud/AI security baselines (IAM least-privilege, guardrails, compliance automation) and cost-optimization frameworks.
Certifications & Communication
  • Active Certifications: Professional-level Cloud, DevOps, or AI Certifications (e.g., AWS Certified DevOps Engineer – Professional, Solutions Architect – Professional, Specialty certs in Security / AI Practitioner, or equivalent Anthropic / OpenAI / Cloud platform credentials) strongly preferred.
  • Consultative Communication: Superior verbal, written, and presentation skills—confident in facilitating technical workshops, demoing complex architectures to stakeholders, and thriving in a 100% remote environment.

Benefits
  • Paid Time Off – Take the time you need to recharge and stay productive.
  • Remote-First Working Environment – Collaborate from anywhere while staying connected with our global team.
  • Comprehensive Health Coverage – Medical, Dental, Vision
  • 401(k) Retirement Plan – Plan for your future with access to a company-sponsored 401(k) program.
  • Annual Learning & Development Stipend – Invest in your skills with conferences, certifications, or courses.
  • Peer Mentorship & Coaching – Learn from experienced engineers, product managers, and architects to accelerate your growth.
  • Professional Growth Opportunities – Exposure to cutting-edge AWS GenAI, data, and cloud technologies across diverse industries.
  • Company Outings & Volunteer Opportunities – Build relationships and give back to the community.
  • Collaborative, Innovative Culture – Work alongside top talent in a fast-paced, supportive environment that values curiosity and initiative.

Equal Opportunity Employment

At RevStar, we don’t just accept differences — we celebrate them, we support them, and we thrive on them for the benefit of our employees, our customers, and our community. RevStar is proud to be an equal opportunity workplace.

Reasonable Accommodations

RevStar is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, contact HR at [email protected].

Similar Jobs

Yesterday
Remote or Hybrid
San Francisco, CA, USA
98K-359K Annually
Senior level
98K-359K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Leads a team of underwriters managing complex casualty risks in the sharing economy and new mobility sectors. Oversees risk selection, portfolio profitability, pricing, coverage analysis, broker relationships, quality audits, and regulatory documentation. Coaches and develops underwriting talent, guides decisions on high-impact accounts, drives innovation, and establishes strategies for profitable portfolio growth.
Yesterday
Easy Apply
Remote
United States
Easy Apply
157K-185K Annually
Senior level
157K-185K Annually
Senior level
Artificial Intelligence • Fintech • Software • Travel
Own full-cycle recruiting for Product Delivery roles, including Product Management, Product Design, Growth, and leadership hiring. Build sourcing strategies, market maps, interview processes, portfolio evaluation standards, rubrics, and scorecards from the ground up. Partner with senior Product, Marketing, Growth, and executive stakeholders, use recruiting data to guide decisions, represent Engine to candidates, and support GTM hiring as priorities change.
Yesterday
Easy Apply
Remote
United States
Easy Apply
183K-215K Annually
Entry level
183K-215K Annually
Entry level
Artificial Intelligence • Fintech • Software • Travel
Own and execute the application security program, including SIEM management, threat detection, architecture and code reviews, vulnerability management, security testing, incident response, forensic investigations, and security tooling. Partner with engineering and infrastructure teams to remediate vulnerabilities, promote secure coding, develop training, and improve enterprise security through cloud, container, compliance, and monitoring practices.
Top Skills: C#Ci/CdDastDockerIastJavaKubernetesMitre Top 25Node.jsOwasp Top 10PciPythonRubySastSIEMSoc 2

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account