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Software Engineer, Observability (Backend)

About Anyscale:


At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAIUberSpotifyInstacartCruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.


With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.


Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.


About the role

We are seeking a Backend Software Engineer to join our team focused on building user-facing application features for the Anyscale AI platform. The role involves interacting with users, understanding their requirements, designing and implementing features, and finally maintaining and improving these features over time. The backend of the platform generally deals with implementing the core business logic of these features.


About the team

The Workspace & Observability Team is dedicated to empowering clients to create robust AI applications using our powerful platform built on Ray. We are a collaborative group of experts committed to providing bespoke monitoring tools and integrations that enhance the development lifecycle. In particular, these tools accelerate the process of writing, debugging, deployment, and monitoring of AI applications. 


Observability in a distributed cluster can deal with a ton of data. There are a ton of interesting problems to solve around how to ingest, aggregate, format, and ultimately present that data to our users in a digestible way. With Ray and Anyscale, we have the opportunity to provide great tools out of the box for our users. Join us in shaping the future of AI application development!

A snapshot of projects you may work on

  • The Ray Dashboard observability tool which gives users insight into their Ray application including what code is running in which machine, how much data is being moved between various machines, and the hardware utilization of each machine.

  • Library-specific observability tools like the Ray Train dashboard or Ray Serve dashboard which accelerates our users ability to develop distributed training or model serving applications.

  • Unified log viewer, a tool that ingests logs across a ray cluster and presents the ability to query those logs in meaningful ways, such as by function name, log level, timestamp, or machine.

  • Anomaly detection. The ability for the Anyscale platform to automatically detect performance bottlenecks or bugs in our users workloads and suggest or automatically fix these issues.

  • Work with a team of leading distributed systems and machine learning experts.

  • Communicate your work to a broader audience through talks, tutorials, and blog posts.

  • Help us to build and shape a world class company.

We'd love to hear from you if have

  • Proficiency in backend or full stack development, including experience with web API frameworks and databases.

  • Proficiency in Python or an ability to quickly learn new programming languages. 

  • Good understanding of AI and machine learning concepts.

  • Experience with observability tools and monitoring solutions (e.g., Datadog, Splunk, AWS CloudWatch).

  • Familiarity with Ray or similar distributed systems frameworks.

  • Solid background in debugging, architecture design, and coding.

  • Excellent problem-solving skills and a collaborative mindset.

  • Passion for building tools that enhance user experience and optimize workflows.

Compensation

  • At Anyscale, we take a market-based approach to compensation. We are data-driven, transparent, and consistent. The target salary for this role is $202,000 ~ $237,000. As the market data changes over time, the target salary for this role may be adjusted.


  • This role is also eligible to participate in Anyscale's Equity and Benefits offerings, including the following:


  • Stock Options

  • Healthcare plans, with premiums covered by Anyscale at 99%

  • 401k Retirement Plan

  • Education & Wellbeing Stipend

  • Paid Parental Leave

  • Fertility Benefits

  • Flexible Time Off

  • Commute reimbursement

  • 100% of in office meals covered

Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. 


Anyscale Inc. is an E-Verify company and you may review the Notice of E-Verify Participation and the Right to Work posters in English and Spanish

Average salary estimate

$219500 / YEARLY (est.)
min
max
$202000K
$237000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Software Engineer, Observability (Backend), Anyscale

Join Anyscale as a Software Engineer specializing in Observability (Backend) and be part of a groundbreaking effort to democratize distributed computing! At Anyscale, we're on a mission to make scalable machine learning more accessible than ever and empower developers with the tools they need. In this role, you will work closely with users to grasp their needs, design innovative backend features for our powerful AI platform, and ensure those features run seamlessly. You’ll dive deep into the challenges of observability within distributed systems, tackling complex data ingestion and aggregation problems while creating user-friendly monitoring tools. Imagine building essential insights for users by working on exciting projects like the Ray Dashboard, anomaly detection modules, and unified log viewers! Here, we value collaboration with a team of experts dedicated to enhancing the development lifecycle of AI applications, and you’ll have plenty of opportunities to communicate your findings and innovations through talks and blog posts. If you're excited about the chance to shape the future of AI application development with your backend development skills and a passion for user experience, then we can't wait to hear from you. Bring your proficiency in Python, problem-solving abilities, and a collaborative mindset to Anyscale and together we can transform the way artificial intelligence is built and experienced!

Frequently Asked Questions (FAQs) for Software Engineer, Observability (Backend) Role at Anyscale
What are the primary responsibilities of a Software Engineer, Observability at Anyscale?

As a Software Engineer, Observability at Anyscale, your main responsibilities will include understanding user requirements, designing backend application features, and implementing core business logic specific to observability tools. You'll work on exciting projects such as the Ray Dashboard, integrated monitoring solutions, and other tools aimed at enhancing the user development experience for AI applications.

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What qualifications are needed to apply for the Software Engineer, Observability position at Anyscale?

To apply for the Software Engineer, Observability role at Anyscale, candidates should have proficiency in backend or full-stack development, strong knowledge of web API frameworks and databases, and experience in Python or similar programming languages. Additionally, familiarity with observability tools, AI and machine learning concepts, and a collaborative mindset are essential.

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How does Anyscale support employee growth and development for the Software Engineer, Observability role?

Anyscale supports employee growth through ongoing training opportunities, mentoring from leading experts in distributed systems and machine learning, and encourages participation in community discussions via talks and tutorials. Their culture fosters collaboration, enabling you to share knowledge and enhance your skills continuously.

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What types of projects will a Software Engineer, Observability work on at Anyscale?

Software Engineers focusing on Observability at Anyscale will engage in numerous innovative projects. These include developing the Ray Dashboard for performance insight, building library-specific observability tools, creating unified log views, implementing anomaly detection features, and enhancing the overall monitoring capabilities of the AI platform.

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What is the compensation structure for the Software Engineer, Observability position at Anyscale?

Anyscale follows a market-based approach to compensation for the Software Engineer, Observability position. The target salary ranges from $202,000 to $237,000, with adjustments based on changing market data. Additionally, employees have access to benefits like stock options, healthcare, retirement plans, and flexible time off.

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Common Interview Questions for Software Engineer, Observability (Backend)
Can you describe your experience with backend development and how it relates to the Software Engineer, Observability role?

In your response, emphasize any specific projects you've worked on that involved backend systems. Focus on your understanding of APIs, frameworks, and how your technical skills align with monitoring solutions, as they are crucial for observability in distributed systems.

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What do you understand by observability in distributed systems?

Discuss the importance of observability in monitoring system health and performance. Explain how tools like dashboards and logging enhance visibility into applications, helping to troubleshoot issues and optimize performance over time.

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How do you approach debugging and architectural design when developing backend applications?

Share your strategies for tackling debugging, such as using logs, automated testing, and collaborative troubleshooting. Discuss architectural considerations, including how to design scalable and maintainable systems that align with user needs.

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What experience do you have with Python, and how have you applied it in your previous projects?

Highlight specific projects where you’ve utilized Python, possibly mentioning libraries and frameworks that improve backend functionalities or observability. Discuss how quickly you can adapt and learn new programming languages when necessary.

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Describe an instance where you had to communicate complex technical information to a non-technical audience.

Provide a concrete example where you simplified technical jargon for stakeholders, ensuring they understood the implications. This showcases your ability to bridge communication gaps and work effectively in a collaborative team.

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How do you prioritize user needs when developing features for observability tools?

Talk about gathering user feedback through research or surveys, and emphasize your ability to empathize with users. Describe a development cycle that prioritizes usability to ensure the observability tools are user-friendly and effective.

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What challenges do you foresee in building observability tools and how would you overcome them?

Discuss potential challenges such as data volume or real-time processing and propose solutions like scalable architectures or utilizing existing monitoring tools. Show your understanding of both technical and user experience angles.

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In your opinion, what impact does observability have on the development lifecycle, particularly for AI applications?

Talk about how observability allows for proactive monitoring, easier debugging, and performance optimization, which are all critical in the fast-evolving world of AI applications. Share examples demonstrating these impacts.

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Explain how you have previously collaborated with cross-functional teams in your projects.

Illustrate your collaboration with teams, such as product management or dev ops, and explain how you contributed to successful project outcomes. Highlight communication tools or methods that facilitated teamwork.

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What motivates you to work in the AI and machine learning domain, and how does this relate to observability?

Share your passion for AI and how you see observability as a key component in developing robust AI systems. Discuss any relevant experiences that ignited this motivation and how you wish to translate that into your work at Anyscale.

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Full-time, remote
DATE POSTED
April 3, 2025

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