Inviso Corporation Logo

Inviso Corporation

Infrastructure / SRE Engineer - USA

Posted 2 Days Ago
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
Design, build, and operate cloud infrastructure, deployment, observability, and reliability systems. Responsibilities include infrastructure-as-code, Kubernetes, CI/CD, incident response, SLOs, cost optimization, automation, production readiness, and support for hybrid, edge, on-premises, and customer-controlled environments. The role improves platform reliability, reduces operational toil, and enables safe, consistent delivery for mission-critical customers.
The summary above was generated by AI

Infrastructure / SRE Engineer

Inviso is partnering with one of our clients to find an experienced Backend / Platform Engineer to join their team working remotely. Inviso is managing the recruitment and placement process for this opportunity. This is a remote, direct-hire permanent employee position for our client that is a global multi-billion dollar software conglomerate.

The Infrastructure / SRE Engineer is responsible for designing, building, and operating the cloud, infrastructure, deployment, observability, and reliability capabilities that allow platform teams to ship safely and consistently. This role focuses on landing zones, infrastructure-as-code, Kubernetes, CI/CD, observability, incident response, cost optimization, and production readiness.

The Engineer treats infrastructure and reliability as products, building repeatable systems that reduce toil, improve delivery speed, and support mission-critical customer environments. The ideal candidate is hands-on, automation-minded, calm under pressure, and comfortable owning systems in production.

Experience & Skills Required

  • Experience building and operating production cloud infrastructure with reliability ownership.
  • Strong experience with infrastructure-as-code, landing zones, networking, identity, security, and environment management.
  • Experience with Kubernetes, containerized workloads, CI/CD pipelines, and automated deployment practices.
  • Experience establishing observability using metrics, logs, traces, dashboards, alerting, and actionable operational signals.
  • Experience defining or supporting SLOs, reliability practices, incident response, postmortems, and on-call operations.
  • Ability to automate operational tasks and reduce manual toil through scripts, tools, runbooks, and platform services.
  • Experience preparing software for customer-controlled, hybrid, BYOC, on-premises, or edge environments preferred.
  • Strong understanding of cost and capacity optimization, including expensive compute such as GPU workloads.
  • Strong communication and collaboration skills for client-facing consulting environments.
  • Pragmatic mindset with the ability to balance speed, safety, automation, cost, and operational quality.

Desired Qualifications

  • Experience with Azure, Kubernetes, Terraform, Bicep, GitHub Actions, Azure DevOps, or related infrastructure and delivery tools.
  • Experience with Azure Arc, fleet management, pull-based deployment patterns, or version/configuration drift management.
  • Experience supporting regulated, air-gapped, edge, or mission-critical delivery environments.
  • Experience supporting AI/ML platforms, model-serving infrastructure, GPU workloads, or AI development lifecycle operations.
  • Experience building enterprise-scale infrastructure supporting multiple teams, products, or customers.
  • Experience using AI-assisted development tools while maintaining strong review, testing, and operational discipline.

Success Criteria

Success in this role is measured by reliable platform operations, repeatable delivery, strong observability, reduced operational toil, and the ability to help client teams ship safely into complex customer environments. Infrastructure / SRE Engineers are expected to improve speed and stability at the same time.

Similar Jobs

9 Minutes Ago
In-Office or Remote
7 Locations
139K-245K Annually
Senior level
139K-245K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.
Top Skills: Ai Coding AgentsCi/CdGitLlm-Based Classification ToolingMetrics StorePythonReactSnowflakeSQLTypescript
9 Minutes Ago
In-Office or Remote
129K-233K Annually
Mid level
129K-233K Annually
Mid level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Conduct field-based, full-cycle sales across a designated territory, including prospecting, business visits, product demonstrations, consultative selling, deal closing, partnerships, referrals, onboarding coordination, pipeline management, forecasting, and quota attainment. The role focuses on restaurants, retailers, and service businesses while promoting Square’s integrated commerce software, hardware, and financial solutions.
Top Skills: Payment Processing TechnologySalesforce
Internship
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.
Top Skills: Deep LearningFoundation ModelsJaxOptimizationPythonPyTorchRepresentation Learning

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