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On Call Software Engineer Spotify Jobs (NOW HIRING)

Senior Software Engineer - Enterprise AI

New York, NY · On-site +1

$164K - $234K/yr

  • Medical

  • Retirement

  • PTO

The Platform team creates the technology that enables Spotify to learn quickly and scale easily ... You have strong software engineering fundamentals and experience building, testing, debugging, and ...

Senior Software Engineer - Enterprise AI

New York, NY

$164K - $234K/yr

  • Medical

  • Retirement

  • PTO

The Platform team creates the technology that enables Spotify to learn quickly and scale easily ... You have strong software engineering fundamentals and experience building, testing, debugging, and ...

Frontend Engineer - Music

New York, NY

$133K - $190K/yr

  • Medical

  • Retirement

  • PTO

The Rights Systems team builds and operates Spotify Rights Center (SRC), Spotify's rights ... Help improve engineering practices and advocate for strong frontend architecture and quality ...

Frontend Engineer - Music

New York, NY · On-site +1

$133K - $190K/yr

  • Medical

  • Retirement

  • PTO

The Rights Systems team builds and operates Spotify Rights Center (SRC), Spotify's rights ... Help improve engineering practices and advocate for strong frontend architecture and quality ...

Senior Machine Learning Engineer - Ads R&D

New York, NY · On-site +1

$184K - $262K/yr

  • Medical

  • Retirement

  • PTO

You have strong technical expertise in software engineering, data analysis, and machine learning ... Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter ...

Senior Machine Learning Engineer - Ads R&D

New York, NY · On-site +1

$184K - $262K/yr

  • Medical

  • Retirement

  • PTO

You have strong technical expertise in software engineering, data analysis, and machine learning ... Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter ...

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Spotify is seeking a Senior Machine Learning Engineer to join their Advertising Product ... in software engineering, data analysis, and machine learning • Proficient in programming ...

Fullstack Engineer - Podcast

New York, NY · On-site +1

  • Medical

  • Retirement

  • PTO

Creators and publishers rely on us to distribute and manage their content across Spotify and beyond ... You care about agile software development and a culture of constant learning and improvement * You ...

Engineering Manager - Music

New York, NY · On-site +1

$164K - $234K/yr

  • Medical

  • Retirement

  • PTO

The Rights Systems team is driving the technical foundations of a step-change for Spotify ... You have 1+ years of experience managing software engineering teams, ideally in a product-focused ...

Engineering Manager - Music

New York, NY

$164K - $234K/yr

  • Medical

  • Retirement

  • PTO

The Rights Systems team is driving the technical foundations of a step-change for Spotify ... You have 1+ years of experience managing software engineering teams, ideally in a product-focused ...

Fullstack Engineer - Podcast

New York, NY · On-site

  • Medical

  • Retirement

  • PTO

Creators and publishers rely on us to distribute and manage their content across Spotify and beyond ... You care about agile software development and a culture of constant learning and improvement * You ...

Android Engineer - Advertising

New York, NY

$107K - $153K/yr

  • Medical

  • Retirement

  • PTO

For us and millions of users across the globe, that's Spotify. Join the Sales team and you'll build ... Collaborate with engineers across Android, iOS, backend, and web, along with product, design, and ...

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Showing results 1-20

On Call Software Engineer Spotify information

See salary details

$63.5K

$147.5K

$205.5K

How much do on call software engineer spotify jobs pay per year?

As of Aug 18, 2026, the average yearly pay for on call software engineer spotify in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between On Call Software Engineer Spotify vs Software Developer?

AspectOn Call Software Engineer SpotifySoftware Developer
Primary RoleResponds to system issues, maintains live services, ensures uptimeDesigns, develops, and implements software applications
Work EnvironmentFast-paced, on-call shifts, real-time problem solvingOffice or remote, project-focused development
CredentialsTypically requires a degree in CS or related field, experience with cloud and monitoring toolsUsually requires a degree in CS or related field, programming skills

On Call Software Engineer Spotify focuses on maintaining and troubleshooting live systems, often working in shifts to ensure service availability. In contrast, a Software Developer primarily designs and builds new software applications. While both roles require technical skills and similar educational backgrounds, their daily responsibilities and work environments differ significantly.

What cities are hiring for On Call Software Engineer Spotify jobs?

Cities with the most On Call Software Engineer Spotify job openings:

What are the most commonly searched types of Software Engineer Spotify jobs?

The most popular types of Software Engineer Spotify jobs are:

Senior Software Engineer - Enterprise AI

Spotify

New York, NY • On-site, Remote

$164K - $234K/yr

Other

Medical, Retirement, PTO

Posted 5 days ago


Job description

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
Enterprise AI builds and operates the internal AI platform layer that supports Spotifiers across the company. We're helping evolve AI tooling into reliable infrastructure that teams can use in their day-to-day work. Our team builds the connective tissue between AI models and Spotify's internal systems, with a focus on secure access, governance, identity, integrations, and dependable AI infrastructure.
What You'll Do
  • Design, build, and operate secure enterprise AI platform capabilities that connect AI models, agents, tools, and Spotify's internal systems.
  • Own major workstreams across our enterprise AI infrastructure, including our Model Context Protocol (MCP) gateway and enterprise context capabilities, from technical design through launch and operation.
  • Build reliable backend services, APIs, and integrations that enable AI-powered experiences across Spotify's digital workplace.
  • Help develop scalable approaches to AI governance, including identity-aware access, permissions, auditing, policy enforcement, and managing risks associated with third-party AI-enabled tools.
  • Design, build, test, and evaluate agentic systems and workflows that help Spotifiers access information and accomplish tasks effectively.
  • Take operational ownership of the services and components you build, balancing speed, reliability, security, and long-term maintainability.
  • Partner with engineers and stakeholders across Spotify to identify opportunities, make thoughtful technical tradeoffs, and turn emerging AI needs into scalable platform capabilities.
  • Contribute to engineering practices, knowledge sharing, and AI fluency as we learn how to operate enterprise AI infrastructure at Spotify scale.

Who You Are
  • You have strong software engineering fundamentals and experience building, testing, debugging, and operating reliable backend systems.
  • You are experienced with backend languages such as Python, Go, or similar and are comfortable designing APIs and integrations across complex systems.
  • You understand software architecture and how services, APIs, enterprise tools, and user-facing experiences fit together.
  • You have experience with identity and authentication concepts and technologies such as OAuth, SAML, or SCIM.
  • You have experience working with cloud infrastructure; familiarity with Google Cloud Platform is valuable.
  • You are comfortable navigating ambiguity, creating clarity, and independently making thoughtful technical tradeoffs.
  • You care about operational ownership and building dependable infrastructure that other teams and employees can rely on.
  • You enjoy experimentation, iteration, knowledge sharing, and continuous learning in a collaborative engineering environment.
  • Experience with enterprise SaaS or platform engineering, or with LLM integration patterns such as tool use, function calling, agentic workflows, or systems-level prompt engineering, will help you make an impact in this role.

Where You'll Be
  • This role is based in New York.
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

The United States base range for this position is $164,448-$234,926 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice