San Francisco$260K – $288K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Supply Chain Technology team within OpenAI’s Enterprise Platform & Technology builds and scales the systems and data architecture that power our core supply chain operations. We enable operational agility, visibility, and execution across planning through fulfillment and partner operations. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering better decisions, reliable operations, and sustainable growth as OpenAI evolves.

About the Role

We’re looking for a Business Platform Engineer within our Supply Chain Technology pod to help build the next generation of supply chain systems at OpenAI. In this role, you’ll design and develop backend services, APIs, integrations, data pipelines, and distributed applications that support critical supply chain workflows and partner connectivity. You’ll work on systems that need to be scalable, secure, and resilient, while partnering closely with product managers, business stakeholders, and engineers across the stack.

This role is ideal for someone who enjoys solving complex systems problems, working across application and data boundaries, and applying strong engineering fundamentals to business-critical platforms. You should be comfortable moving between architecture, hands-on development, technical problem-solving, and operational ownership.

Responsibilities

• Designing, building, and optimizing scalable distributed systems using cloud-native technologies and modern service-oriented architectures.

• Developing backend applications, integrations, APIs, and data services that support core supply chain operations and workflows.

• Owning technical delivery across the software lifecycle, from design and implementation through testing, deployment, and production support.

• Improving system reliability, performance, observability, and security across business-critical platforms.

• Partnering closely with product and business stakeholders to deliver robust solutions with a high degree of ownership.

Requirements

• Have 5+ years of professional engineering experience, excluding internships, in relevant roles at technology or product-driven companies.

• Are proficient in one or more backend languages such as Python, Go, Rust, or TypeScript, and have a strong foundation in distributed systems concepts.

• Care deeply about reliability, safety, and performance in production environments.

• Have a track record of thriving in fast-growing, product-driven environments by navigating ambiguity and balancing competing priorities.

• Familiarity with event-driven architectures, asynchronous processing, and systems integration patterns.

• Have experience with containerization and orchestration technologies such as Docker and Kubernetes is a plus.

• Exposure to modern data platforms, workflow orchestration, AI-enabled enterprise tooling is a plus.

Workplace & Location : SF

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through [this form](https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA). No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this [link](https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241).

[OpenAI Global Applicant Privacy Policy](https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf)

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges.

The ideal candidate will have 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language, and 4+ years of experience developing large-scale distributed systems from scratch. Experience working on a SaaS platform or with Service-Oriented Architectures is also required. Extensive experience working on large-scale compute clusters, network connectivity, and automation is necessary.

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You'll work across three key areas that define Databricks' networking stack:

Ingress Control Plane: Build the control plane for Databricks' global ingress layer. Enable programming of API gateways with static and dynamic endpoints, simplify service onboarding, and make it easy to expose APIs securely across clouds.

Service-to-Service Communication: Design scalable mechanisms for service discovery and load balancing across thousands of clusters. Provide networking abstractions so product teams don't need to worry about underlying connectivity details.

Overload Protection: Build intelligent rate limiting and admission control systems to protect critical services under high load. Ensure reliability and predictable performance for both customer-facing and internal workloads.

We're looking for someone with a strong proficiency in one or more languages such as Java, Scala, Go, or C++, and experience with service-oriented architectures and large scale distributed systems. Familiarity with cloud platforms (AWS, Azure, GCP) and container/orchestration technologies (Kubernetes, Docker) is also required. A track record of shipping infrastructure that supports mission-critical workloads at scale is essential.

The pay range for this role is $166,000-$225,000 USD.

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The impact you'll have:

Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure.

For example, you might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.

• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.

• Develop tools and processes that drive engineering efficiency at Databricks.

We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks.

Our current focus is on optimizing the Rust development experience across the organization.

What we look for:

• BS (or higher) in Computer Science, or a related field

• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.

• Experience developing large-scale distributed systems from scratch

• Experience working on a SaaS platform or with Service-Oriented Architectures

• Proficiency in one or more backend languages such as Java, Scala, or Go.

• Hands-on experience in developing and operating backend systems.

• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

About Databricks:

Databricks is the data and AI company. More than 10,000 organizations worldwide , including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 , rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance:

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Our backend teams span many domains across our essential service platforms. You will work on problems that span from product to infrastructure, including distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.

To succeed in this role, you will need a BS (or higher) in Computer Science, or a related field, and 3+ years of production level experience in one of: Java, Scala, C++, or similar language. You will also need experience developing large-scale distributed systems, experience working on a SaaS platform or with Service-Oriented Architectures, and knowledge of SQL.

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The Trust Platform team is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.).

As a senior software engineer on this team, you will be deeply involved in building highly available and real-time risk detection services in close collaboration with product, data science and operations teams to understand ever-evolving attack vectors and to make Airbnb the most safe and trusted community.

Responsibilities:

• Design, implement, and operate resilient and scalable distributed systems
• Build and evolve platform capabilities to tackle the changing landscape of fraud attacks by collaborating with engineering teams in Airbnb’s Trust, Payment and CSP organizations.
• Provide critical input in Trust Platform’s team roadmap and technical direction.
• Identify opportunities to improve the reliability, scalability, and efficiency of Trust Platform services and drive their implementation.
• Mentor other engineers in developing their technical and collaboration skills
• Advocate and participate in efforts to advance Airbnb’s engineering processes and technical foundations.

Your Expertise:

• 5-9+ years of industry experience
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience
• Proficiency in one or more backend languages (Java/Ruby/Kotlin etc). Familiarity with Scala is a plus.
• Experience with service-oriented architectures and developing large-scale distributed systems.
• Experience with platform architecture patterns and best practices.
• Hands on experience leading project teams and setting technical direction.
• Experience with the Trust and Risk domain.
• Experience with building and leading infrastructure is a plus.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process.

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A typical day will involve collaborating with product, design, engineering, and data science teams to develop backend systems and enhance AI prompt effectiveness. You will drive the technical vision and strategy for workflow and backend optimization, leading and contributing to the full development cycle: technical design, implementation, testing, experimentation, and deployment.

We are looking for a seasoned software engineer with 9+ years of experience in service-oriented architectures and backend development. You should have expertise in workflow optimization and backend systems, with a focus on scalable and flexible architecture. You should also be proficient in crafting backend systems focusing on technical quality, efficiency, and resilience.

In addition to your technical expertise, you should have excellent collaboration and communication skills to work effectively across teams and domains. You should be passionate about agile development, system optimization, and team productivity enhancements.

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We are looking for software engineers to join our Platform organisation. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale.

Responsibilities

• Architect and optimise the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines.
• Partner closely with product teams to understand their development workflow and eliminate friction points.
• Work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't.

Platforms

• Platform Acceleration: We work on maximising the developer productivity of product engineers at Anthropic.
• Service Infra: We build and maintain the core infrastructure that powers Anthropic's engineering organisation, from service mesh and observability systems to deployment pipelines and shared libraries.
• Multicloud: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers.
• Auth & Identity: We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite.
• Connectivity: Our mission is to make Claude the most connected AI.
• API Distributability: The Claude API today is a rapidly growing platform serving developers and enterprises at scale.
• Platform Intelligence: We build the training systems that adapt Claude to specific customer workloads.

Requirements

• Have a minimum of 5 years of practical experience building backend product or platform systems,distributed systems, cloud-native products, developer tools, or external developer facing products.
• Have strong fundamentals in service-oriented architectures, networking, and systems design.
• Are proficient in Python, Go, Rust, or similar systems languages.
• Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking.

Benefits

• Annual compensation range: $320,000-\$320,000 USD.
• Visa sponsorship available.
• Flexible work arrangements, including remote work options.

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Our backend teams span many domains across our essential service platforms. You might work on challenges such as:

• Distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.

• Building reliable, secure, and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.

• Developing product features that empower our customers to easily store and access their data.

To succeed in this role, you will need:

• A Bachelor's degree in Computer Science or a related field.

• 5+ years of production-level experience in one of Java, Scala, C++, or similar languages.

• Experience developing large-scale distributed systems.

• Experience working on a SaaS platform or with Service-Oriented Architectures.

• Knowledge of SQL.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

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This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multi-cloud and distributed systems challenges.

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We are looking for software engineers to join our Platform organisation. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale.

Responsibilities

• Architect and optimise the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines.
• Partner closely with product teams to understand their development workflow and eliminate friction points.
• Work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't.

Platform Acceleration

We work on maximising the developer productivity of product engineers at Anthropic. You'll help define performance quality and standard for the company, power the next gen of LLM-first products, and redefine best-in-class developer experience.

Service Infra

We build and maintain the core infrastructure that powers Anthropic's engineering organisation, from service mesh and observability systems to deployment pipelines and shared libraries.

Multicloud

We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments.

Auth & Identity

We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers.

Connectivity

Our mission is to make Claude the most connected AI. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated.

API Distributability

The Claude API today is a rapidly growing platform serving developers and enterprises at scale,but reaching the next tier of enterprise customers requires transforming how and where we deploy it.

Platform Intelligence

We build the training systems that adapt Claude to specific customer workloads. The core problem is task-specific adaptation: getting the right intelligence, cost, and latency profile for a particular use case, and building toward systems where that adaptation can deepen as the customer's usage grows.

Requirements

• A minimum of 5 years of practical experience building backend product or platform systems,distributed systems, cloud-native products, developer tools, or external developer facing products.
• Strong fundamentals in service-oriented architectures, networking, and systems design.
• Proficiency in Python, Go, Rust, or similar systems languages.
• Experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking.
• Take full ownership of your work,from design through deployment and operations.
• Can navigate ambiguity and make sound technical decisions independently,

Benefits

• Annual compensation range: $320,000-\$320,000 USD
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas!

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As a Senior Software Engineer at Databricks India, you can get to work across various challenges such as:

• Distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
• Delivering reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Building reliable, scalable services, e.g., Scala, Kubernetes, and data pipelines, e.g., Apache Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day and develop product features that empower customers to easily view and control platform usage.

We are looking for a Senior Software Engineer with 7+ years of production-level experience in one of the following languages: Python, Java, Scala, C++, or similar language. You should also have 4+ years of experience developing large-scale distributed systems from scratch, experience working on a SaaS platform or with Service-Oriented Architectures, and experience working on Infrastructure-related projects.

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Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. You might work on challenges such as:

• Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
• Developing tools and processes that drive engineering efficiency at Databricks.

We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.

Requirements:

• BS (or higher) in Computer Science, or a related field
• 6+ years of production level experience in one of: Python, Java, Scala, C++, or similar language
• Experience developing large-scale distributed systems from scratch
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Proficiency in one or more backend languages such as Java, Scala, or Go
• Hands-on experience in developing and operating backend systems
• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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We currently have openings on: Base Infrastructure: We are looking for strong engineers with leadership experience to join the Serving Infrastructure organisation. You will primarily work on the Base Infrastructure team, whose key projects include building replication to support zero downtime failovers, optimising performance and memory usage, and vertical scaling. Data Infrastructure: The Data Infrastructure team’s mission is to enable data-driven decision making at Airtable by providing reliable, self-service, high-performance analytics infrastructure. We use technologies like Apache Spark, Kafka, and Apache Flink to process vast quantities of data in our data warehouse.

What you'll do

Proactively identify and lead significant improvements to Airtable’s infrastructure, working across teams and product areas to maximise business and engineering impact. Work on systems-level problems in a complex design space where scalability, efficiency, reliability, and security really matter. Build clean, reusable, and maintainable abstractions that will be used by Airtable’s engineers for years to come. Take full ownership of components of Airtable’s infrastructure, including responsibility for reliability, performance, efficiency, and observability of our production environment.

Who you are

You have at least 8 years of industry experience, and are excited about learning new technologies and applying them in a fast-changing environment. You have experience in areas such as databases, distributed systems, service-oriented architectures, and data infrastructure. You derive joy from refactoring and building clean abstractions in order to make complex systems fun to develop on and easy to understand. You have a strong background in computer science with a degree in CS or a related field. You are currently based or willing to relocate to the San Francisco Bay Area or New York City for this role.

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Complete ownership of multiple platforms: You will define and execute on key dimensions of scalability, platformization, and reliability.

Platformize serving infrastructure: You will design abstractions that support a wide range of current and emerging use cases, determining the right tradeoffs and building consensus across Databricks.

Re-architecting Platforms for scale: You will redesign our existing systems to handle 10X to 100X increase in scale.

Build amazing developer experience: You will revolutionize platform onboarding to cut down time from weeks to mere hours, enhancing efficiency and user experience.

Developing Impactful Features: You will create features that significantly enhance both product functionality and end-user experience, driving meaningful improvements across Databricks.

Fostering Engineering Excellence: You will cultivate a strong engineering culture focused on quality and productivity, setting a high standard for the team.

Mentoring Future Leaders: You will act as a role model for junior team members, guiding their growth and development.

To succeed in this role, you will need:

12+ years of production-level experience in one of Python, Java, Scala, C++, or similar languages.

BS (or higher) in Computer Science, or a related field.

Experience developing large-scale distributed systems from scratch.

Experience working on a SaaS platform or with Service-Oriented Architectures.

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Airtable's infrastructure is evolving to meet the needs of our fast-growing engineering org. We currently have openings on:

• Base Infrastructure: The Base Infrastructure team owns the system that powers the core of Airtable's product--serving Airtable bases. We are investing in the foundations of our homegrown in-memory database. Key projects include building replication to support zero downtime failovers, optimising performance and memory usage, and vertical scaling.

• Compute: The compute pod builds and manages our Kubernetes-based platform that supports every service at Airtable, including all new AI services such as vector databases, AI evals store, and document extraction and understanding services. We have a lot of exciting foundational work in our roadmap, such as overhauling our network stack and service discovery, to simplify service setup and strengthen security, region level disaster recovery, and bringing up compute platform from 0->1 in a new region, building custom Kubernetes operators for reliably managing some of our most critical workloads.

• Data Infrastructure: The Data Infrastructure team's mission is to enable data-driven decision making at Airtable by providing reliable, self-service, high-performance analytics infrastructure. We use technologies like Apache Spark, Kafka, and Apache Flink to process vast quantities of data in our data warehouse. This infrastructure is used by Airtable's data engineers and analysts, as well as product developers building features powered by business data. The team is focused on scaling to petabyte volume, enabling sub-second streaming, tightening data governance, and delivering cost-efficient ML-ready datasets to power Airtable's native AI products with fresh, high-quality signals.

• Developer Platform: The Developer Platform team sits at the intersection of all engineering at Airtable, focusing on building the internal tooling, frameworks, and CI/CD systems that power our product teams. We strive to streamline developer workflows,from build and test cycles to production deployments,and foster a best-in-class developer experience.

• Storage: The Storage team's mission is to accelerate product development at Airtable by providing scalable, reliable, and easy-to-use storage abstractions. We use RDS MySQL, DynamoDB, Redis, and TiDB. We're looking for folks interested in distributed systems and databases who are excited to work on business-critical, petabyte-scale storage systems.

• Traffic: We are looking for founding members of our Traffic Engineering team. We recently formed a Traffic Infrastructure team to ensure that traffic across Airtable's network and routing infrastructure is managed in a reliable, flexible, and secure manner. This will support improved performance in our secondary regions (EU and Australia) as well as other customer-driven projects.

You will own all aspects of building, running, and improving these systems, from the underlying infrastructure all the way to the developer-facing code abstractions.

You will proactively identify and lead significant improvements to Airtable's infrastructure, working across teams and product areas to maximise business and engineering impact. You will work on systems-level problems in a complex design space where scalability, efficiency, reliability, and security really matter. You will build clean, reusable, and maintainable abstractions that will be used by Airtable's engineers for years to come. You will take full ownership of components of Airtable's infrastructure, including responsibility for reliability, performance, efficiency, and observability of our production environment.

You have 2-8 years of industry experience, and are excited about learning new technologies and applying them in a fast-changing environment. You have experience in areas such as databases, distributed systems, service-oriented architectures, and data infrastructure. You derive joy from refactoring and building clean abstractions in order to make complex systems fun to develop on and easy to understand. You have a strong background in computer science with a degree in CS or a related field. You are currently based or willing to relocate to the San Francisco Bay Area.

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Responsibilities:

• Design and develop reliable and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.
• Build reliable, scalable services, e.g., Scala, Kubernetes, and data pipelines, e.g., Apache Spark, Databricks, to power the pricing infrastructure that serves millions of cluster-hours per day.
• Develop product features that empower customers to easily view and control platform usage.

Requirements:

• 12+ years of production-level experience in one of: Python, Java, Scala, C++, or similar language.
• BS (or higher) in Computer Science, or a related field.
• Experience developing large-scale distributed systems from scratch.
• Experience working on a SaaS platform or with Service-Oriented Architectures.

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The bottleneck has shifted downstream - to merge conflicts, flaky tests, inconsistent code quality, and dozens of other frictions that drain productivity and morale. Engineering teams that can stay focused on designing, implementing, and delivering software will build magical, high-quality projects - and they'll be happier doing it.

We're building a CI Reliability Platform that empowers teams to land code faster and develop happier.

We are looking for a motivated and experienced Senior Software Engineer to join our Platform/Data Engineering team. In this role, you will be responsible for developing and optimizing data ingestion pipelines that can handle vast amounts of real-time and batch data from various sources.

Your focus will be on designing systems that are scalable, reliable, and performant, as well as ensuring the proper integration of data across our entire ecosystem.

Responsibilities

• Design, build, and maintain scalable data ingestion pipelines to handle large volumes of structured and unstructured data.
• Optimize and improve the efficiency of existing data processing workflows, ensuring they can scale as the data grows.
• Collaborate with cross-functional teams to gather data requirements and ensure seamless integration with various data sources.
• Implement real-time and batch processing systems for ingesting data from APIs and webhooks.
• Ensure data quality, consistency, and integrity across all data pipelines.
• Troubleshoot and resolve performance bottlenecks and data-related issues in the ingestion pipeline.
• Develop monitoring and alerting systems to proactively manage the health of data pipelines.
• Continuously evaluate and adopt new technologies and tools to improve the scalability and performance of our systems.
• Document the design, implementation, and operations of data pipelines for knowledge sharing within the team.

Requirements

• 4-5+ years of professional software engineering experience
• You're located within commute distance of San Francisco and are willing to work in office at least 8 days per month.
• You have experience in areas such as databases, distributed systems, service-oriented architectures, and data infrastructure
• You derive joy from refactoring and building clean abstractions in order to make complex systems fun to develop on and easy to understand
• Excellent debugging and troubleshooting skills and the tenacity to drive a solution to a conclusion
• Experience and intuition to zero in on root causes for bugs that can leave others stumped
• The ability to operate independently, but know when you are in too deep and need to ask for help
• Ability to collaborate with colleagues to plan and execute the best solution

Tech Stack

• Frontend: Typescript, React, Next.js, AWS
• Backend: Typescript, Node, AWS
• Data pipelines: Dagster, python, polars
• CI/CD: GitHub Actions

Benefits

• Unlimited PTO
• Competitive salary and equity
• Work-life balance
• Lunch ordered in on us at the office on Wednesdays and Thursdays
• Few meetings, so you can ship fast and focus on building
• One Medical membership on us!
• Top-notch medical, dental, vision, short-term disability, long-term disability, and life insurance
• All insurance is 100% company-paid ($0 premiums) for employees and highly subsidized for dependents
• FSA, HSA with company contributions, and pre-tax commuter benefits
• 401(k) plan
• Paid parental leave (up to 12 weeks)

The salary and equity range for this role are: $170K - $210K and .15% - .35%.

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We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe.

The AI Applications Team You will have the opportunity to join as one of the founding members of this newly formed team that is dedicated to consolidating and rapidly scaling our successful bets so far, and grow with the team in our quest to accelerate Plaid's transformation into an AI-first company.

In this role you will lead projects that enable and scale our business with our largest AI customers and partners, starting with personal finance use cases and expanding into many others; examples include:

• Develop and evolve the preferred integration pattern for Plaid with AI providers - from API adaptations to building the official Plaid MCP Servers, and beyond

• Redefine how Plaid's consumer link experience embed into conversational interfaces in the most seamless way

• Architect the trust layer for the future of agentic commerce that will become the industry standard

Additionally you will be expected to scale and extend our existing successful bets on AI-powered customer experience; examples include:

• Make the next step-function improvement in our homegrown customer support agent

• Land our multi-turn and multi-agent system that powers a truly delightful experience for our customers; define how to scalably run offline evaluation for complex multi-turn open-ended tasks; research and prototype how Human-In-The-Loop - Reinforcement Learning (RLHF) can power an insights flywheel; pioneer the architecture for customer-specific long-term memory, etc.

• Extend our agentic system to support other critical parts of the customer journey, starting with areas with the highest ROI - top-of-funnel product recommendation, customer onboarding and risk diligence, customer activation and assistance for faster productionization, as well as upselling and cross-selling of Plaid products

You will have a front row seat to all the latest industry developments. Over time, with the skills and experience you develop and hone on this team, you can become an influential voice in defining where AI < Fintech will be heading longer term.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.

• Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features

• Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact

• Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches

• Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact

Requirements

• Experience building backend services and working with microservices or service-oriented architectures

• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences

• Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback - including but not limited to:

• Prompt engineering

• Fine-tuning

• Retrieval augmented generation (RAG)

• Semantic search

• Vector database and embedding models

• Agent orchestration framework

• Evaluation and monitoring framework of open-ended tasks

• Streaming and SSE

• Common UX and design patterns for GenAI-powered products

• Strong debugging and monitoring experience for production systems

• Ability to deeply understand customer and user needs through user research and rapid experimentation - be your own technical PM

• Ability to balance divergent thinking (exploring possibilities) with convergent thinking (evaluating feasibility), which is critical for driving 0 ->1 projects

• Extremely curious and passionate about working in GenAI applications space

Nice-to-Haves

• Experience training and/or serving ML models in production, or fine-tuning LLMs for domain-specific use cases

• Comfortable operating in privacy/PII-sensitive environments and applying compliance mitigations

XML job scraping automation by YubHub

Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.
• Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features
• Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact
• Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches
• Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact

Qualifications

• Experience building backend services and working with microservices or service-oriented architectures
• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences
• Strong software engineering fundamentals, including system design and API development
• Hands-on experience building and shipping LLM-powered products, iterating with real user feedback
• Practical experience with prompt engineering, fine-tuning, RAG, semantic search (vector databases and embeddings), agent orchestration frameworks, and evaluation/monitoring of open-ended tasks
• Experience building GenAI-powered product experiences, including streaming/SSE and common UX patterns
• Strong debugging and production monitoring experience
• Ability to deeply understand customer needs through user research and rapid experimentation; comfortable operating as a technical PM when needed
• Ability to balance divergent exploration with pragmatic execution, especially in 0 to 1 environments
• Deep curiosity and passion for building GenAI applications

Nice to Have

• Experience training and deploying ML models in production, including fine-tuning LLMs for domain-specific use cases
• Comfortable operating in privacy- and PII-sensitive environments, with experience applying appropriate compliance and data protection controls

XML job scraping automation by YubHub

As a Fullstack Software Engineer, you will design and build the systems and experiences that power how millions of people connect to their finances. You will work across the stack, building scalable backend services and APIs while also crafting intuitive, high-quality frontend experiences that bring those systems to life.

This role is ideal for engineers who enjoy switching between backend problem-solving and frontend user experience work, and who are excited to grow their impact across both. You will collaborate closely with product managers, designers, and other engineers to ship products that are reliable, secure, and delightful to use.

At Plaid, engineers take ownership early, contribute to architectural decisions, and see their work reach millions of users.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.

• Collaborate cross-functionally. Partner closely with product managers and designers to define requirements and deliver features that solve real customer problems.

• Maintain high code quality. Write clean, maintainable, and well-tested code, and participate in code reviews and technical design discussions.

• Test and debug. Build automated tests, monitor system performance, and troubleshoot issues in production environments.

• Contribute to system design. Engage in hands-on coding and architectural decisions to ensure reliability, security, and scalability.

• Grow the team. Support a strong engineering culture through mentorship, thoughtful reviews, and shared ownership of technical standards.

Qualifications

• 5+ years of software engineering experience with a track record of shipping production systems or features

• Experience building backend services using relational databases such as MySQL, and working with microservices or service-oriented architectures

• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences

• Solid system design, coding, and testing skills across both frontend and backend

• Proven ability to collaborate effectively with product, design, and other engineering partners

• Experience mentoring or supporting the growth of other engineers through reviews, guidance, or leadership

• Comfortable working across product, operations, and data teams to deliver end-to-end solutions

XML job scraping automation by YubHub

As a Fullstack Software Engineer, you will design and build the systems and experiences that power how millions of people connect to their finances. You will work across the stack, building scalable backend services and APIs while also crafting intuitive, high-quality frontend experiences that bring those systems to life.

This role is ideal for engineers who enjoy switching between backend problem-solving and frontend user experience work, and who are excited to grow their impact across both. You will collaborate closely with product managers, designers, and other engineers to ship products that are reliable, secure, and delightful to use.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.

• Collaborate cross-functionally. Partner closely with product managers and designers to define requirements and deliver features that solve real customer problems.

• Maintain high code quality. Write clean, maintainable, and well-tested code, and participate in code reviews and technical design discussions.

• Test and debug. Build automated tests, monitor system performance, and troubleshoot issues in production environments.

• Contribute to system design. Engage in hands-on coding and architectural decisions to ensure reliability, security, and scalability.

• Grow the team. Support a strong engineering culture through mentorship, thoughtful reviews, and shared ownership of technical standards.

Qualifications

• 5+ years of software engineering experience with a track record of shipping production systems or features.

• Experience building backend services using relational databases such as MySQL, and working with microservices or service-oriented architectures.

• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences.

• Solid system design, coding, and testing skills across both frontend and backend.

• Proven ability to collaborate effectively with product, design, and other engineering partners.

• Experience mentoring or supporting the growth of other engineers through reviews, guidance, or leadership.

• Comfortable working across product, operations, and data teams to deliver end-to-end solutions.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

XML job scraping automation by YubHub

This role is ideal for engineers who enjoy switching between backend problem-solving and frontend user experience work, and who are excited to grow their impact across both. You will collaborate closely with product managers, designers, and other engineers to ship products that are reliable, secure, and delightful to use.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.
• Collaborate cross-functionally. Partner closely with product managers and designers to define requirements and deliver features that solve real customer problems.
• Maintain high code quality. Write clean, maintainable, and well-tested code, and participate in code reviews and technical design discussions.
• Test and debug. Build automated tests, monitor system performance, and troubleshoot issues in production environments.
• Contribute to system design. Engage in hands-on coding and architectural decisions to ensure reliability, security, and scalability.
• Grow the team. Support a strong engineering culture through mentorship, thoughtful reviews, and shared ownership of technical standards.

Qualifications

• 5+ years of software engineering experience with a track record of shipping production systems or features.
• Experience building backend services using relational databases such as MySQL, and working with microservices or service-oriented architectures.
• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences.
• Solid system design, coding, and testing skills across both frontend and backend.
• Proven ability to collaborate effectively with product, design, and other engineering partners.
• Experience mentoring or supporting the growth of other engineers through reviews, guidance, or leadership.
• Comfortable working across product, operations, and data teams to deliver end-to-end solutions.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

XML job scraping automation by YubHub

Responsibilities

• Build and maintain service frameworks and shared libraries
• Drive AI adoption, championing AI tools, harnesses, and agentic software development, and establishing standards for APIs, background jobs, and event-driven systems.
• Improve developer workflows (local development, testing, CI/CD, service scaffolding)
• Partner with infrastructure teams to help define how services run in production
• Ensure services are observable, reliable, and production-ready by default
• Drive adoption of platform standards across the organization
• Contribute to system design and architecture across multiple domains

Qualifications

• A minimum 10 years in software engineering, site reliability engineering, or platform engineering
• Advocate for the integration of AI throughout the SDLC to accelerate and improve delivery velocity.
• Strong experience building platforms and paved paths for systems in production environments
• Experience with distributed systems and service-oriented architectures
• Proficiency in modern programming languages such as, Kotlin, Typescript, Go, Python
• Familiarity with cloud infrastructure and containerized environments (e.g., GCP, Kubernetes, Docker)
• Experience building shared libraries, frameworks, or internal tooling
• Ability to work across teams and influence technical direction

Nice to Have

• Familiarity with observability tooling (metrics, logging, tracing)
• Experience with CI/CD systems and developer tooling
• Exposure to high-scale or multi-service environments

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Cresta's AI Agent team is building enterprise-grade AI Agents that can operate inside real-world contact center environments. A critical part of that mission is enabling our AI Agents to seamlessly integrate with customers' CCaaS platforms (Contact Center as a Service), including voice and digital channels , and to smoothly transition conversations between AI and human agents when needed.

This team is focused on building the backend systems that allow our AI Agents to:

• Integrate deeply with leading CCaaS platforms
• Participate in live customer conversations across voice and chat
• Maintain full conversation state and context
• Perform real-time actions within the CCaaS ecosystem
• Seamlessly hand off conversations to human agents , without losing context, history, or workflow state
• Support human agents with AI assistance after transfer

We are looking for strong backend engineers who want to work at the intersection of distributed systems, real-time communication, enterprise integrations, and AI Agent orchestration.

As a Staff Backend Engineer, you will lead the architecture and technical direction of Cresta’s AI Agent integration platform. You will define how our AI Agents connect to, operate within, and scale across complex enterprise ecosystems.

Responsibilities:

• Lead the architecture and evolution of Cresta’s AI Agent integration framework across CCaaS platforms
• Design scalable, extensible backend systems that manage real-time conversation state, session lifecycle, and context propagation
• Establish architectural patterns for AI-to-human handoff that ensure durability, reliability, and seamless customer experience
• Define integration strategies for voice, chat, messaging, routing, and agent desktop APIs across enterprise platforms
• Drive system design for high availability, low latency, and fault tolerance in real-time environments
• Set standards for observability, monitoring, incident response, and operational excellence
• Partner closely with ML engineers to operationalize AI Agent capabilities into production-grade systems
• Influence technical roadmap and prioritization in collaboration with engineering leadership
• Mentor senior engineers and raise the bar for backend engineering excellence across the organization
• Lead complex cross-team technical initiatives from design through production rollout

Qualifications We Value:

• Bachelor’s degree in Computer Science or related field
• 8+ years of experience building scalable backend systems in production environments
• Demonstrated experience leading architecture for large-scale distributed systems
• Deep expertise in API design (REST, gRPC) and service-oriented architectures
• Strong understanding of real-time communication systems and low-latency system design
• Experience designing integrations with third-party enterprise platforms and APIs
• Proven track record of driving technical direction across teams
• Experience with containerized environments (Kubernetes, Docker)
• Experience with cloud platforms such as AWS, GCP, or Azure
• Strong expertise in reliability engineering, observability, and enterprise-grade security
• Experience with CCaaS platforms, contact center systems, or real-time communications is highly valued
• Familiarity with AI Agents, LLM-based systems, or AI orchestration platforms is a strong plus

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees
• PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

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