Servant Logo

Servant

DevOps & Cloud Engineer (Azure + Backend Enablement)

Sorry, this job was removed at 07:18 p.m. (PST) on Thursday, Jun 04, 2026
Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

Similar Jobs

8 Days Ago
In-Office or Remote
Entry level
Entry level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads techno-commercial strategy for RAN engagements across East and North Africa. Translates radio technology into ROI, TCO, pricing, offer scope, negotiation, and value narratives. Partners with sales, pricing, contract management, presales, and technical domain teams to improve win rates, protect margins, and support profitable growth. Requires strong RAN expertise, complex telecom deal structuring, commercial modelling, stakeholder management, financial fluency, and negotiation skills.
Top Skills: 2G3G4G5GCloud ComputingCloud RanCore NetworksMassive MimoOpen RanOss/BssRanSoftware LicensingTransport Networks
27 Days Ago
In-Office or Remote
Entry level
Entry level
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Leads techno-commercial strategy for RAN engagements across EMEA. Translates radio technology into ROI and TCO value propositions, develops pricing and commercial models, supports negotiations, optimizes offer scope, and partners with sales, pricing, contract management, presales, and domain teams. The role drives proactive customer engagement, win rates, margin protection, reusable commercial assets, and profitable growth across complex telecom and ICT deals.
Top Skills: 2G3G4G5GCloud ComputingCloud RanCore NetworksMassive MimoOpen RanOss/BssRanSoftware LicensingTransport Networks
An Hour Ago
Remote
Entry level
Entry level
HR Tech • Professional Services • Consulting
Develop and experiment with machine learning models, work with training and evaluation datasets, build AI-powered features, integrate AI capabilities into software products, research emerging AI technologies, and collaborate with engineering and product teams to deploy intelligent solutions.
Top Skills: Artificial IntelligenceMachine Learning
About Our Client

Servant is partnering with a forward-thinking organization focused on helping teams work smarter, not harder. By combining thoughtful strategy, intuitive tools, and a people-first mindset, enabling organizations to optimize how work gets done—improving efficiency, clarity, and outcomes across the business.

With a strong emphasis on collaboration and continuous improvement, our client partners closely with its customers to solve real-world challenges and deliver practical, scalable solutions. The team values curiosity, ownership, and impact, and is committed to building products and experiences that genuinely support the way people work today.

As our client continues to grow, they are investing in talented, mission-driven individuals who want to shape the future of work and make a meaningful difference for customers and teammates alike.

Role Summary

This role is critical to accelerating our client's engineering organization. As the DevOps & Cloud Engineer, you will own the reliability, scalability, and delivery velocity of the Human-Led AI Orchestration Layer.

This is not a pure infrastructure role. You are expected to have backend awareness and contribution capability—supporting API services, deployments, and operational workflows so product teams can move faster without friction.

Everything you build is expected to be revenue-ready, secure, and enterprise-grade.

Key Responsibilities

Cloud & Infrastructure

  • Design, deploy, and manage Azure infrastructure (App Services, Functions, AKS, Key Vault).
  • Implement Infrastructure-as-Code using Terraform..
  • Ensure high availability, fault tolerance, and secure system boundaries.
  • Optimize cloud cost, performance, and reliability.

CI/CD & Delivery Acceleration

  • Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions.
  • Automate testing, deployments, and environment promotion.
  • Improve developer experience and release velocity across teams.

Backend Enablement

  • Support backend services (FastAPI, Python) with deployment, scaling, and runtime optimization.
  • Assist with API observability, logging, and performance tuning.
  • Collaborate closely with backend engineers to unblock delivery and reduce operational overhead.

Security & Operations

  • Implement secure networking, secrets management, and identity controls.
  • Configure monitoring, alerting, and incident response workflows.
  • Enforce best practices around containerization (Docker) and orchestration (AKS).

Requirements
  • Strong experience with Azure cloud services.
  • Proven experience with CI/CD pipelines (Azure DevOps or GitHub Actions).
  • Hands-on Infrastructure-as-Code experience (Terraform preferred  or Bicep).
  • Backend familiarity with Python/FastAPI sufficient to support and troubleshoot services.
  • Experience with Docker and containerized deployments.
  • Strong understanding of cloud security and networking fundamentals.
  • Proficiency with Git and collaborative workflows.
Preferred Qualifications
  • Experience supporting multi-tenant SaaS platforms.
  • Familiarity with serverless and event-driven architectures.
  • Experience supporting AI/ML workloads in production.
  • Exposure to observability stacks (Azure Monitor, Log Analytics).

Benefits

Flexible Hours & Compensation

Our client offers a flexible work structure of 20–40 hours per week, depending on role scope and workload. This role is outcome-driven, not hour-tracked.

Compensation is provided as a fixed monthly stipend, aligned to responsibilities and expected ownership. The stipend remains consistent as long as commitments are met and performance remains strong.

This environment requires:

  • Clear ownership and follow-through
  • Proactive communication
  • Consistent, high-quality delivery

Flexibility is paired with accountability—team members are trusted to manage their time while ensuring outcomes, team continuity, and customer commitments are fully upheld.

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