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Backend Infrastructure Engineer Jobs (NOW HIRING)

Mashgin

Software Engineer, Infrastructure

Palo Alto, CA · On-site

$203K - $241K/yr

They are seeking a backend infrastructure developer to build software for their kiosks and support the extensive infrastructure, focusing on designing and building core systems that enhance their ...

deCircle

Fun.xyz - Backend Engineer Manager

Manhattan, NY · On-site

$120 - $160/hr

At fun.xyz, we are building the infrastructure powering the next generation of internet-native ... We're looking for a Backend Engineering Manager to lead and scale our backend infrastructure team.

Nace AI

Software Engineer (Backend)

Palo Alto, CA · On-site

Nace.ai is focused on developing scalable AI systems, and they are seeking a Backend Software Engineer to design, develop, and maintain the backend infrastructure. The role involves ensuring system ...

Fab2

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 ...

FlexAI

Senior Backend Engineer

Santa Clara, CA · On-site

Required : • 5+ years of Backend or Infrastructure Engineering experience • Expert-level ... proficiency in Golang (must-have, heavy hands-on) • Strong experience building production-grade ...

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Backend Infrastructure Engineer information

See salary details

$60.5K

$147.7K

$199K

How much do backend infrastructure engineer jobs pay per year?

As of Aug 22, 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 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.

What are the key skills and qualifications needed to thrive as a backend infrastructure engineer?

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 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 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.

More about Backend Infrastructure Engineer jobs

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 August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $147,662 per year, or $71 per hour.

Staff Software Engineer, Backend (Infrastructure)

Otter.ai

Mountain View, CA • On-site

Full-time

Re-posted 11 days ago

Job description

The Opportunity
Are you an experienced Staff Software Engineer, Backend (Infrastructure) looking to make a significant impact at the intersection of scalable web services and cutting-edge AI technologies? We're seeking a talented engineer to lead the development, deployment, and management of web services and infrastructure that empower AI-driven products and initiatives. As part of our dynamic engineering team, you'll collaborate closely with AI researchers, product managers, and technologists to deliver innovative solutions that transform the experiences of end-user professionals and enterprise clients across diverse industries.
Your Impact
  • Define and drive the architecture of scalable solutions utilizing technologies like MySQL, Vitess, Kafka, Cassandra, Redis, and big data platforms - shaping foundational systems that support sophisticated AI applications and workflows across the organization.
  • Leverage your deep expertise in Python to build and enhance backend systems that seamlessly integrate with machine learning and AI models, while establishing engineering best practices for the broader team.
  • Design and implement robust business logic using web frameworks such as Django, ensuring compatibility with AI components and integration with databases - and influence how these patterns are adopted at scale.
  • Write reusable, efficient, and maintainable code that underpins our high-performance web services and supports real-time AI analytics, setting the bar for code quality across teams.
  • Partner with AI teams to streamline data pipelines, optimize model deployment, and ensure backend systems effectively support AI-based product features - often driving alignment across multiple teams simultaneously.
  • Serve as a key technical voice with stakeholders across the organization, translating complex infrastructure strategies into clear direction and influencing roadmaps related to AI-enabled infrastructure.
We're Looking for Someone Who
  • Holds a Bachelor's, Master's, or Ph.D. in Computer Science or a related field.
  • Demonstrates strong expertise in databases, distributed systems, backend performance optimization, and familiarity with backend requirements for machine learning infrastructure.
  • Demonstrates a solid understanding of database internals, transactions, indexing, and experience in schema design optimized for AI data workloads.
  • Has 10+ years of experience in developing and architecting large-scale web services, preferably with exposure to supporting AI systems.
  • Possesses expert proficiency in Python or other programming languages such as Go, Java, or C++.
  • Has extensive experience with web frameworks like Django and is comfortable integrating systems with technologies such as MySQL, Redis, Elasticsearch, Kafka, and Cassandra, particularly in support of AI workflows.
  • Has hands-on experience deploying and managing services on AWS, particularly those interfacing with machine learning platforms.
  • Is driven by ownership and passionate about delivering impactful solutions from conception to deployment, especially in collaborative environments with AI-focused teams.
  • Brings substantial production server experience or equivalent backend expertise to the table.
  • Has excellent communication skills, a genuine curiosity for technology, and meticulous attention to detail.

Nice to haves
  • Familiarity with HTTP, networking principles, and API design patterns beneficial to AI integrations.
  • Experience with operating systems, particularly Linux, and an understanding of their interactions with AI applications and services.

About Otter.ai
We are in the business of shaping the future of work. Our mission is to make conversations more valuable.
With over 1B meetings transcribed, Otter.ai is the world's leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla.
Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are committed to building an inclusive and accessible workplace. We provide reasonable accommodations for qualified applicants throughout the hiring process.
Accessibility & Accommodations
Otter.ai is committed to providing reasonable accommodations for candidates with disabilities in our hiring process. If you need assistance or an accommodation during any stage of the recruitment process, please contact hr@otter.ai at least 3 business days before your interview.
*Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate.
Salary range
Salary Range: $210,000 to $275,000 USD per year.
This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent on several factors. Our base salary is just one component of a comprehensive total rewards package.
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