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Backend Infrastructure Engineer Jobs (NOW HIRING)

Base Power Company

Market Infrastructure Engineer

Austin, TX · On-site

$106K - $139K/yr

Required : • Strong experience in backend, infrastructure, or platform engineering on a modern cloud platform such as AWS, GCP, or Azure. • Experience working on complex, failure-prone, or ...

10Beauty

Senior Data Infrastructure Engineer

Burlington, MA

$118K - $160K/yr

Strong programming experience in Python, SQL, and/or other backend-oriented languages * Experience working with cloud-based data platforms and infrastructure (AWS, GCP, or Azure) * Experience with ...

Atomic Semi

Infrastructure Engineer

San Francisco, CA · On-site

$125K - $195K/yr

About the role As an Infrastructure & Site Reliability Engineer, you will design, build, deploy ... This is a broad, hands-on role where you will own all aspects of our backend services from the ...

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Backend Infrastructure Engineer information

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$60.5K

$147.7K

$199K

How much do backend infrastructure engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for backend infrastructure engineer in the United States is $147,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $172,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior backend infrastructure engineers with extensive experience, specialized skills in cloud computing, distributed systems, and high-performance architecture can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires advanced certifications, leadership roles, and a strong track record of managing complex systems.

What are some common challenges faced by Backend Infrastructure Engineers in scaling systems to support rapid user growth?

Backend Infrastructure Engineers often encounter challenges in ensuring systems can scale efficiently as user demand increases. This includes addressing bottlenecks in databases, optimizing server performance, implementing effective load balancing, and maintaining high availability. Collaboration with frontend engineers, DevOps, and product teams is crucial to proactively identify scaling issues and to deploy solutions that minimize downtime. Staying updated with evolving infrastructure technologies also helps engineers anticipate and mitigate scaling-related challenges.

What are the key skills and qualifications needed to thrive as a Backend Infrastructure Engineer, and why are they important?

To thrive as a Backend Infrastructure Engineer, you need a deep understanding of server-side languages, distributed systems, network protocols, and a relevant degree in computer science or engineering. Familiarity with cloud platforms (such as AWS, GCP, or Azure), containerization tools like Docker and Kubernetes, and CI/CD pipelines is typically required. Strong problem-solving abilities, attention to detail, and effective communication help engineers collaborate and respond to complex technical challenges. These skills and qualities are essential for building, maintaining, and scaling reliable backend systems that support business operations.

What is the difference between Backend Infrastructure Engineer vs Backend Developer?

AspectBackend Infrastructure EngineerBackend Developer
Primary FocusDesigning, building, and maintaining the infrastructure that supports backend systems, including servers, databases, and cloud services.Developing and maintaining the application logic, APIs, and server-side code for web applications.
Required SkillsCloud platforms, server management, networking, scripting, infrastructure automationProgramming languages (e.g., Java, Python), API development, database management
Work EnvironmentSystems and infrastructure teams, cloud environments, DevOps pipelinesApplication development teams, software engineering environments

While both roles work on backend systems, the Backend Infrastructure Engineer focuses on the underlying infrastructure and deployment environment, whereas the Backend Developer concentrates on coding and application logic. Both roles are essential for robust backend systems but serve different aspects of the development lifecycle.

What does a Backend Infrastructure Engineer do?

A Backend Infrastructure Engineer is responsible for designing, building, and maintaining the foundational systems and services that support software applications. They focus on scalability, reliability, security, and performance of backend systems, such as databases, servers, APIs, and cloud platforms. Their work ensures that applications can handle large amounts of data and traffic efficiently, and they often collaborate with other engineers to deploy and monitor these services. Additionally, they may automate infrastructure processes and implement best practices for system architecture and monitoring.
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What job categories do people searching Backend Infrastructure Engineer jobs look for? The top searched job categories for Backend Infrastructure Engineer jobs are:
Backend Infrastructure Engineer jobs near you
Infographic showing various Backend Infrastructure Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 82% Full Time, 11% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $147,662 per year, or $71 per hour.
Infrastructure Engineer, Sandboxing

Infrastructure Engineer, Sandboxing

Anthropic

San Francisco, CA • On-site

$126K - $166K/yr

Other

Posted 28 days ago

Job description

About the role

Anthropic is seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research organization. In this role, you'll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments.

As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You'll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic's mission to develop AI systems that are safe, beneficial, and trustworthy.

Responsibilities
  • Design, build, and operate distributed backend systems that power secure sandboxed execution environments
  • Scale infrastructure to meet growing research and product demands while maintaining reliability and performance
  • Implement and maintain serverless architectures and container orchestration systems
  • Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions
  • Develop monitoring, alerting, and observability systems to ensure operational excellence
  • Participate in on-call rotations and incident response to maintain system reliability
  • Contribute to infrastructure automation and tooling that improves developer productivity
  • Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees
You may be a good fit if you
  • Have 5+ years of experience building and operating backend infrastructure at scale
  • Have deep expertise in distributed systems design and implementation
  • Have strong operational experience, including debugging complex production issues
  • Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)
  • Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications
  • Are comfortable working with infrastructure as code and modern DevOps practices
  • Have strong programming skills in languages such as Python, Go, or Rust
  • Are results-oriented with a bias towards flexibility and impact
  • Care about the societal impacts of your work and are motivated by Anthropic's mission
Strong candidates may also have experience with
  • Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda)
  • Designing and implementing secure multi-tenant systems
  • High-performance computing environments or ML infrastructure
  • Linux systems internals, including namespaces, cgroups, and seccomp
  • Network security and isolation techniques
  • Building systems that support research workflows and rapid iteration

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