Backend Engineer Jobs in Mountain View, CA
Backend Engineer jobs in Mountain View are concentrated in the Castro Street corridor, Moffett Park, and the North Bayshore tech campus cluster, where companies across cloud infrastructure, AI platforms, and consumer software are actively hiring. Current openings come from employers including Databricks, Coupang, and Microsoft. Scan the live roles below and apply to whichever ones fit.
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The opportunity
Unity is hiring a Senior Software Engineer to build and operate the platform behind an internal AI product analytics agent, and the shared services other teams at Unity build on.
This role will join the platform-facing half of the team. You will spend half of your time working on platform and infrastructure engineering: the backend services, APIs, integration surfaces, access control and operational foundations that make an internal AI product safe, fast and dependable at company scale. You will also support agent capability work; including orchestration, retrieval and the interfaces people use.
The platform runs on GCP and serves data from BigQuery to users across Unity. Access control, reliability and cost are first-order product concerns, not afterthoughts.
Note: This role is one of two we're hiring on the team. If you'd rather spend your time in the analytics data layer, modelling datasets and improving the quality of what the agent knows, take a look at our Senior Software Engineer, Analytics Data & Applied AI role instead!
What you'll be doing
- Design, build and operate the backend services, APIs and self-service tooling that the platform and other Unity teams depend on.
- Own access control and data security for the platform: authentication, authorisation, permissioning of the underlying datasets, and auditability.
- Build and harden the platform's integration surfaces, including the MCP server that exposes governed data to AI tools.
- Take responsibility for reliability, performance and cost efficiency, covering latency, scaling behaviour, fault tolerance, observability and incident response.
- Raise the engineering bar on the codebase: service design, testing, CI/CD, infrastructure as code and deployment safety.
- Contribute to agent capability work end to end, including orchestration, knowledge retrieval and user-facing surfaces.
- Work with data scientists and partner teams to turn platform needs into reusable capabilities.
- Help set the roadmap and technical direction for the platform.
What we're looking for
- Experience designing, building and operating distributed systems, backend services or internal platforms in production.
- Strong backend and systems engineering skills: service design, API design, debugging and production operations.
- A solid grasp of distributed systems fundamentals, including scalability, reliability, fault tolerance and the trade-offs between them.
- Practical experience with cloud-native infrastructure, ideally GCP, plus container orchestration, CI/CD, infrastructure as code and observability tooling.
- Experience implementing authentication, authorisation or access control in systems handling sensitive data.
- Experience with, or a demonstrated interest in, LLM and agent systems, particularly orchestration and workflow design.
- A record of making progress on projects where the requirements are not fully defined.
You might also have
- Experience building products for technical end users.
- Experience operating data-intensive platforms such as pipelines, streaming systems, storage layers or analytics infrastructure.
- Familiarity with privacy, security, compliance and cost management in large-scale platform environments.
- Experience applying AI or agentic tooling to engineering workflows.
Base Salary Range: We determine the base salary range for this role based on your primary work location:
Zone A: $135,800 - $203,600 USD gross
Zone B: $153,400 - $230,200 USD gross
Zone C: $172,400 - $258,600 USD gross
This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set.
Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.
Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.
While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program
Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.
Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law.
Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.
Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.
See All 305+ Backend Engineer Jobs in Mountain View
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Find Backend Engineer JobsBackend Engineer Job Market in Mountain View
Who's Hiring
- Databricks57

- Coupang38

- Microsoft38

- Unity Technologies38

- Waymo19

Top Industries Hiring
- Technology & Software172
- Artificial Intelligence57
- Retail19
- Science & Research19
Backend Engineer Jobs in Mountain View: Frequently Asked Questions
How do I get a backend engineer job in Mountain View?
Target companies in Mountain View's core tech sectors: cloud infrastructure, AI and machine learning platforms, developer tooling, and consumer software. The Castro Street corridor and North Bayshore campuses concentrate the highest density of engineering teams. Candidates with distributed systems experience, API design depth, or familiarity with high-scale data pipelines tend to stand out locally. Referrals from within Mountain View's dense professional network also move applications forward faster than cold submissions.
Which companies hire backend engineers in Mountain View?
Companies currently hiring backend engineers in Mountain View include Databricks, Coupang, and Microsoft, per current listings on Migrate Mate as of August 2026. Mountain View's employer base skews toward established platform companies, AI-native startups, and hardware-adjacent software teams, all of which maintain active backend engineering pipelines year-round.
Are there remote backend engineer jobs in Mountain View?
Yes, backend engineering is among the more remote-compatible disciplines given its code-centric, asynchronous nature. About 46% of backend engineer openings tied to Mountain View are remote or hybrid as of August 2026, with fully remote roles most common at AI-platform and developer-tooling companies headquartered there. On-site expectations tend to increase for roles tied to hardware integration or real-time infrastructure teams.
How can I get a backend engineer job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through an associate or junior backend engineering role at a mid-size SaaS or AI startup in the Castro Street or Moffett Park area, where teams are small enough to mentor early-career engineers. Contributing to open-source projects used by local companies, completing an internship with a Mountain View-based team, and building portfolio projects around APIs or cloud services give candidates a concrete edge when competing against more experienced applicants.
Which industries hire the most backend engineers in Mountain View?
Most backend engineer openings in Mountain View sit in Technology & Software, Artificial Intelligence, and Retail, per current listings on Migrate Mate as of August 2026. Mountain View's long-standing role as a hub for search technology, autonomous systems, and cloud platforms means those sectors sustain consistent backend engineering demand regardless of broader market cycles.
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