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Senior Software Engineer, Data Infrastructure Location Bay Area Employment Type Full time Location Type Hybrid Department Engineering Compensation $150K – $350K Actual compensation depends heavily on the candidate's past experience, skill set, work location, and position in the team. Overview Application About Arena Intelligence Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. About the Role Arena Intelligence is seeking a Software Engineer to join our team and build the data pipelines and infrastructure that powers real-world AI evaluation. You'll play a crucial role in designing and building the data pipelines that process and analyze tens of millions user vote data, directly impacting how we understand and evaluate AI model performance. This role is ideal for someone who thrives in fast-moving environments and interested in building products to ensure accurate and fair evaluation of human preferences across different models, which will shape the direction of future AI development. As an early member of our data engineering team, you'll partner closely with researchers, engineers, and product leadership to retrieve valuable data and insights from human votes and feedback. You'll help us move fast while staying rigorous, improving data quality, scaling our infrastructure to new levels, and deepening our ability to compare frontier models and predict human preferences. You’ll Design and build robust data pipelines to ingest, process, and transform user vote data to features essential for model performance evaluation. Collaborate with researchers and product leadership to understand product goals and necessary data. Design and implement solutions to generate result dashboards and reports, providing useful information for the public, model providers, and researchers. Ensure the integrity, data quality, and reliability of the pipelines. Scale our data infrastructure to accommodate increasing data volumes and evolving analytical needs. You’ll have 5+ years of experience in software engineering, with a dedicated focus on data engineering and big data technologies Proficiency in SQL and at least one programming language commonly used for data analysis (Python (preferred), Scala, R). Hands-on experience with data processing and pipeline frameworks (Apache Spark, Ray Data, etc.) and at least one popular big data analytics platform (Databricks, Snowflake). Demonstrated experience in designing, implementing, optimizing, and debugging production data pipelines. Bonus Points Prior work in data analytics or datalake platforms. Experience in advanced data analysis tools, such as Delta lake, streaming tables. Exposure to machine learning is a plus. What we offer We offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location. Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs. The opportunity to work on cutting-edge AI with a small, mission-driven team A culture that values transparency, trust, and community impact Come help build the space where anyone can explore and help shape the future of AI. Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities. Apply for this Job Powered by Privacy PolicySecurityVulnerability Disclosure

Listed by Arena for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

265 days ago

Senior Software Engineer, Data Infrastructure

Arena · Bay Area, California, United States

Pay

$150k–350k

Setting

Hybrid

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Listed by Arena for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

265 days ago

Senior Software Engineer, Data Infrastructure

Arena · Bay Area, California, United States

Pay

$150k–350k

Setting

Hybrid

Apply Sign in to favorite Permalink

ABOUT ARENA INTELLIGENCE Arena is the platform for evaluating how AI models perform in the real world. Founded by researchers from UC Berkeley's SkyLab, we're on a mission to measure and advance the frontier of AI for real-world use, and to build the foundation for everyone to understand, shape, and benefit from it. Tens of millions of people use Arena each month to evaluate how frontier systems handle the work they actually do. The preferences they share power the most transparent, rigorous, and human-centered evaluations in AI. Leading AI labs, enterprises, and independent researchers rely on our work and open datasets to understand how models behave in real workflows: agentic coding, creative generation, professional productivity, and beyond. We go beyond leaderboards and decompose what human experience reveals about AI, so models advance toward the work people actually do. We're a team of researchers, academics, builders, and creatives from UC Berkeley, Google, Stanford, and DeepMind. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We're building a company where thoughtful, curious people from all backgrounds can do their best work together, in an office culture that radiates excellence, energy, and focus. ABOUT THE ROLE Arena Intelligence is seeking a Software Engineer to join our team and build the data pipelines and infrastructure that powers real-world AI evaluation. You'll play a crucial role in designing and building the data pipelines that process and analyze tens of millions user vote data, directly impacting how we understand and evaluate AI model performance. This role is ideal for someone who thrives in fast-moving environments and interested in building products to ensure accurate and fair evaluation of human preferences across different models, which will shape the direction of future AI development. As an early member of our data engineering team, you'll partner closely with researchers, engineers, and product leadership to retrieve valuable data and insights from human votes and feedback. You'll help us move fast while staying rigorous, improving data quality, scaling our infrastructure to new levels, and deepening our ability to compare frontier models and predict human preferences. YOU’LL - Design and build robust data pipelines to ingest, process, and transform user vote data to features essential for model performance evaluation. - Collaborate with researchers and product leadership to understand product goals and necessary data. - Design and implement solutions to generate result dashboards and reports, providing useful information for the public, model providers, and researchers. - Ensure the integrity, data quality, and reliability of the pipelines. - Scale our data infrastructure to accommodate increasing data volumes and evolving analytical needs. YOU’LL HAVE - 5+ years of experience in software engineering, with a dedicated focus on data engineering and big data technologies - Proficiency in SQL and at least one programming language commonly used for data analysis (Python (preferred), Scala, R). - Hands-on experience with data processing and pipeline frameworks (Apache Spark, Ray Data, etc.) and at least one popular big data analytics platform (Databricks, Snowflake). - Demonstrated experience in designing, implementing, optimizing, and debugging production data pipelines. BONUS POINTS - Prior work in data analytics or datalake platforms. - Experience in advanced data analysis tools, such as Delta lake, streaming tables. - Exposure to machine learning is a plus. WHAT WE OFFER - We offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location. - Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs. - The opportunity to work on cutting-edge AI with a small, mission-driven team - A culture that values transparency, trust, and community impact Come help build the space where anyone can explore and help shape the future of AI. Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

Listed by Arena for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

281 days ago

DevOps Engineer

Fundamental · United States

Pay

$105k–180k

Setting

Remote

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ABOUT FUNDAMENTAL Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS – the world's most powerful Large Tabular Model (LTM) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict. At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI. KEY RESPONSIBILITIES - Design and implement cloud infrastructure from the ground up - Build and maintain Kubernetes clusters optimized for GPU workloads and ML applications, as well as Production SaaS hosting - Implement GitOps practices using ArgoCD for continuous deployment - Develop infrastructure as code using Terraform - Create and maintain CI/CD pipelines for infrastructure and application deployment - Implement monitoring and observability solutions for distributed systems - Automate infrastructure management with Python and Bash - Collaborate with ML engineers to optimize infrastructure for model training and serving - Implement and maintain cost optimization strategies (FinOps) for cloud resources - Monitor and optimize cloud spending, especially for GPU-intensive workloads MUST HAVE - 5+ years of experience in cloud infrastructure and DevOps - 3+ years of experience with Python - Strong experience with AWS and GCP cloud platforms - Deep expertise in Kubernetes, including multi-cluster management, GPU workload optimization, resource scheduling and autoscaling, and network policies and security - Experience with GitOps tools (ArgoCD preferred) - Extensive experience with cloud networking, including VPC design, load balancer configuration, network security and segmentation, and cross-cloud networking solutions - Strong CI/CD expertise, preferably with GitHub Actions - Proficiency in infrastructure as code (Terraform) - Experience with monitoring and observability tools - Experience with FinOps practices and cloud cost optimization NICE TO HAVE - Experience with ML workflow tooling (MLflow, Kubeflow, or similar) - Experience with FastAPI and Backend applications - Familiarity with data platforms like Databricks or Snowflake - Exposure to SRE practices or cloud security certifications - Hands-on experience with Prometheus, Grafana, or Datadog BENEFITS - Competitive compensation with salary and equity - Comprehensive health coverage for you and your dependents - Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys - Relocation support for employees moving to join the team in one of our office locations - A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

Listed by Fundamental for a position based in the United States. Employers on this board attest they are hiring domestically.

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