You will:

• Backend Development and System Ownership: Design and implement secure, scalable backend systems for customers using modern, cloud-native AI infrastructure. Own services or systems, define long-term health goals, and improve the health of surrounding components.

• Collaboration and Standards: Collaborate with cross-functional teams to define and execute backend and infrastructure solutions tailored for secure environments. Enhance engineering standards, tooling, and processes to maintain high-quality outputs.

• Infrastructure Automation and Management: Write, maintain, and enhance Infrastructure as Code templates (e.g., Terraform, CloudFormation) for automated provisioning and management. Manage networking architecture, including secure VPCs, VPNs, load balancers, and firewalls, in cloud environments.

• Deployment and Scalability: Design and optimize CI/CD pipelines for efficient testing, building, and deployment processes. Scale and optimize containerized applications using orchestration platforms like Kubernetes to ensure high availability and reliability.

• Disaster Recovery and Hybrid Strategies: Develop and test disaster recovery plans with robust backups and failover mechanisms. Design and implement hybrid and multi-cloud strategies to support workloads across on-premises and multiple cloud providers.

Our ideal candidate has a strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience), and 5+ years of post-graduation engineering experience, with a focus on back-end systems and proficiency in at least one of Python, Typescript, Javascript, or C++.

XML job scraping automation by YubHub

In this role, you will have the opportunity to significantly contribute to the foundation of Auth0's Ecosystem, realising a huge impact for our customers and partners.

As a member of Developer Experience - Extensibility Platform, you will:

• Design, architect, and document large-scale distributed systems.
• Implement features across different layers of the stack using technologies such as Go, MongoDB, PostgreSQL, AWS, Azure, and Kubernetes.
• Lead team discussions, mentor other engineers to become senior and improve the team’s productivity.
• Contribute to improving Auth0's architecture, performance, observability, security controls, and best practices.
• Collaborate with Product and Security teams to define and continually improve Auth0’s Extensibility platform and architecture.
• Participate in our on-call rotations for troubleshooting production issues.

Key Qualifications:

• 5+ years of experience in software development, building distributed systems using Go.
• Strong experience in API-driven applications using REST and/or gRPC.
• Experience with packaging and distributing containerized applications using Docker and Kubernetes.
• Experience with sandboxing untrusted code or tenant isolation (both preferred but not required).
• A high bar for both code quality as well as quality of user experience.
• Proven ability to collaborate with others to drive initiatives forward.

Nice To Haves:

• Solid hands-on experience with Node.js in building scalable backend services

XML job scraping automation by YubHub

Automation to eliminate manual steps involved in understanding security risks, remediating and preventing them would be the charter. The work sits at the intersection of engineering systems and regulatory requirements, translating requirements into scalable, reliable, production grade infrastructure. Often this means building production infrastructure from scratch in many cases, and would need end to end ownership of systems including design, development, testing and deployment including implementing effective integration pipelines (CI/CD) and offering a reliable production system that should be highly available and function at scale.

You will partner closely with various security teams including GRC, platform engineering, and security domain teams to translate business needs into durable technical needs, while retaining full engineering ownership of how those systems are designed, built, and operated.

In this role, you will:

• Design and build scalable systems.
• Develop control integrations and data pipelines to normalize security telemetry across IAM, logs, scanners, and CCM/GRC tools.
• Build metrics engines, dashboards, and insights pipelines that provide real-time visibility into compliance health and emerging risks.

On this team, you will:

• Tackle security & compliance puzzles at cutting-edge scale and complexity
• Collaborate with brilliant engineers who are redefining compliance adherence for cloud infrastructure.
• You'll have the freedom and responsibility to innovate, experiment, and influence how we establish assurance pipelines.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Who You Are:

Minimum Qualifications

• A Bachelor’s degree in Information Security, Computer Science, or a related field or equivalent job experience.
• At least 7+ years of hands-on experience in programming languages like Go.
• At least 3+ years of hands-on experience deploying and managing Kubernetes clusters in a production environment.
• Experience building high qps and critical distributed systems.
• Familiarity with modern CI/CD practices and Infrastructure-as-Code tooling.
• Proven experience building and deploying containerized applications.
• Strong experience with technical architectures involving data flows, event driven architecture, access controls, retention, and third-party integrations.
• Strong hands-on experience with cloud infrastructure (AWS, GCP).

Preferred:

• Information Security Engineering experience.
• Expertise in major compliance and security frameworks (SOC 2, ISO 27001, PCI DSS, HIPAA, FedRAMP, NIST, CSF).
• Background in building automation for distributed cloud environments at scale.
• Experience with remote-access solutions like Teleport (real bonus points if you’ve submitted PRs on their product).
• Understanding of the SSO protocols, specifically OIDC and SAML.
• Hands-on experience with PKI and mTLS.

If you're eager to elevate compliance into a creative, strategic force within a fast-paced, forward-thinking company, we'd love to hear from you!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance
• 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

XML job scraping automation by YubHub

Responsibilities:

• Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack.
• Collaborate within the team, with other engineering teams and cross-functionally to enhance our users’ experience.
• Follow software design and development best practices and promote such practices in the team.
• Document design choices and operational knowledge to successfully deploy and run services.
• Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.

Requirements:

• 7+ years of professional experience working on backend systems in an enterprise environment
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps, including messaging brokers, in-memory storage, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Experience with LLMs is a plus
• Experience with large-scale data processing (Spark) is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

XML job scraping automation by YubHub

You will design and build critical systems that power PlanetScale's database platform, serving millions of queries per second for some of the world's largest applications.

You will collaborate with a team of expert engineers to solve complex distributed systems challenges.

You will work independently to solve engineering and business problems with little direction and high autonomy.

You will work directly with customers to understand their needs and translate them into robust technical solutions.

Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher.

You are passionate about building high-quality, scalable systems and take pride in writing clean, maintainable code.

You have strong experience with distributed systems, databases, and performance optimization.

You are comfortable working with large codebases and can quickly understand and contribute to complex systems.

You thrive in a collaborative environment and enjoy mentoring junior engineers.

You have excellent problem-solving skills and can debug complex issues across multiple systems.

You are self-motivated and can work independently with minimal guidance while making sound technical decisions.

5+ years of software engineering experience with a focus on backend systems,

Strong proficiency in Go, with experience in other languages like Python, Java, or C++,

Experience with MySQL or other relational databases,

Working knowledge of Kubernetes and containerized applications,

Experience building and operating distributed systems at scale,

Experience with database internals, query optimization, or distributed consensus algorithms,

Contributions to open-source projects, especially in the database or infrastructure space,

Experience with cloud platforms (AWS, GCP, Azure),

Knowledge of monitoring, observability, and debugging tools,

Previous experience at a high-growth technology company,

As a Software Engineer, you'll be at the core of building the platform that powers world-class apps used by hundreds of millions of users worldwide.

PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America.

We believe in supporting people to do their best work and thrive no matter the location.

Our mission is to build a diverse, equitable, and inclusive company.

We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee.

Total Compensation and Pay Transparency:

An employee's total compensation consists of base salary + variable comp where appropriate + benefits + equity.

A member of our Talent Acquisition team will be happy to answer any further questions when we engage with you to begin the interview process.

Base salary range: $120,000 - $290,000 USD

XML job scraping automation by YubHub

In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high-performance, low-latency systems and APIs that scale efficiently while improving our operational costs.

We value ownership highly , the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team.

Responsibilities:

• Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack.
• Collaborate within the team, with other engineering teams and cross-functionally to enhance our users’ experience.
• Follow software design and development best practices and promote such practices in the team.
• Document design choices and operational knowledge to successfully deploy and run services.
• Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.

Requirements:

• 7+ years of professional experience working on backend systems in an enterprise environment
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps, including messaging brokers, in-memory storage, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Experience with LLMs is a plus
• Experience with large-scale data processing (Spark) is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

XML job scraping automation by YubHub

In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high-performance, low-latency systems and APIs that scale efficiently while improving our operational costs.

We value ownership highly , the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team.

Responsibilities:

• Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack.
• Collaborate within the team, with other engineering teams and cross-functionally to enhance our users’ experience.
• Follow software design and development best practices and promote such practices in the team.
• Document design choices and operational knowledge to successfully deploy and run services.
• Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.

Requirements:

• 7+ years of professional experience working on backend systems in an enterprise environment
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps, including messaging brokers, in-memory storage, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Experience with LLMs is a plus
• Experience with large-scale data processing (Spark) is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

XML job scraping automation by YubHub

Responsibilities:

• Design and implement core backend services and data pipelines.
• Perform data-driven research using big data and leveraging Data Science toolset
• Document design choices and operational knowledge to successfully deploy and run services.
• Provide appropriate test coverage, unit and integration testing, with focus on performance and cost efficiency for your feature ownership areas.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.
• Collaborate within the team and with other engineering teams to build new features and products according to business needs.
• Follow software design and development best practices and promote such practices in the team.

Requirements:

• 5+ years of professional experience working on backend systems in an enterprise environment
• 3+ years experience with data analysis / data science tasks and/or ML
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with AI development tools (especially agentic AI) is a plus
• Experience developing systems based on LLM is a plus
• Understanding of SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps including messaging broker, in-memory storages, NoSQL, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with large-scale data processing (Spark)
• Experience with Elasticsearch is a plus
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

XML job scraping automation by YubHub

Location

Dublin, Ireland

Employment Type

Full time

Department

About the Team

The Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI.

About the Role

We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment.

As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform.

The nature of this role will be low volume, high difficulty.

This role is based in Dublin, Ireland. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team.

• Proactively identify and implement opportunities to scale support operations by leveraging automation and advancements in AI technologies. Contribute to shaping the future of technical support in an AI-driven era.

• Configure and use advanced monitoring and alerting workflows to proactively detect customer impacting issues in real time.

• In partnership with engineering, contribute to reliability reviews and preparedness for new features, launches, or strategic customer requirement updates. Ensure that operational readiness (monitoring, alerting, and fallback plans) is in place for any such changes.

• Design and refine incident response processes and documentation across strategic customers, engineering and support teams.

• Analyze operational metrics and incident RCAs to identify areas for improvement. Proactively recommend and implement enhancements to monitoring dashboards, alert configurations, and support workflows.

• Provide support coverage during holidays and weekends based on business needs.

You might thrive in this role if you:

• Have a Bachelor’s degree in Computer Science or a related field. A strong software engineering foundation is important for this role’s success.

• Have 5+ years of experience in technical operations roles such as SRE/NOC, designing monitoring systems and resolving production issues in fast-paced and mission-critical environments. A strong track record of troubleshooting complex technical problems at the systems level.

• Have deep familiarity with modern monitoring, alerting, and observability practices. Hands‑on experience setting up or managing metrics, logging, and tracing for distributed systems (e.g., understanding of SLIs/SLOs, alert tuning, dashboard creation).

• Have proven experience leading incident response for high‑severity outages or service disruptions. Able to perform real‑time incident coordination, root cause analysis, and drive follow‑ups (post‑mortems, action items) to prevent recurrence. Knowledge of industry best practices for incident management and fault diagnosis.

• Have strong skills in scripting or software engineering (e.g., Python or similar) to automate repetitive tasks and integrate tools.

• Have solid understanding of cloud infrastructure and distributed systems fundamentals. Comfortable working with cloud services, load balancers, databases, and containerized applications.

• Are effective at working cross‑functionally in a high‑trust environment. Strong communication skills to explain technical issues and resolutions to both engineering and non‑technical stakeholders. You can coordinate efforts across teams and are comfortable providing updates in the midst of an ongoing incident.

Compensation, Benefits and Perks

This is a position with OpenAI Ireland Ltd., which controls the hiring and management of this position.

Total compensation includes an annual salary, generous equity, and benefits.

• Medical, dental, and vision insurance for you and your family

• Mental health and wellness support

• PRSA plan with 8% employer matching

• Unlimited time off

• Annual learning & development stipend ($1,500 USD equivalent per year)

#LI-NM2

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.

XML job scraping automation by YubHub

Location

Tokyo, Japan

Employment Type

Full time

Department

About the Team

The Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI.

About the Role

We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment.

As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform.

The nature of this role will be low volume, high difficulty.

This role is based in Tokyo, Japan. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team.

• Proactively identify and implement opportunities to scale support operations by leveraging automation and advancements in AI technologies. Contribute to shaping the future of technical support in an AI-driven era.

• Configure and use advanced monitoring and alerting workflows to proactively detect customer impacting issues in real time.

• In partnership with engineering, contribute to reliability reviews and preparedness for new features, launches, or strategic customer requirement updates. Ensure that operational readiness (monitoring, alerting, and fallback plans) is in place for any such changes.

• Design and refine incident response processes and documentation across strategic customers, engineering and support teams.

• Analyze operational metrics and incident RCAs to identify areas for improvement. Proactively recommend and implement enhancements to monitoring dashboards, alert configurations, and support workflows.

• Provide support coverage during holidays and weekends based on business needs.

You might thrive in this role if you:

• Have a Bachelor’s degree in Computer Science or a related field. A strong software engineering foundation is important for this role’s success.

• Have 8+ years of experience in technical operations roles such as SRE/NOC, designing monitoring systems and resolving production issues in fast-paced and mission-critical environments. A strong track record of troubleshooting complex technical problems at the systems level.

• Have deep familiarity with modern monitoring, alerting, and observability practices. Hands‑on experience setting up or managing metrics, logging, and tracing for distributed systems (e.g., understanding of SLIs/SLOs, alert tuning, dashboard creation).

• Have proven experience leading incident response for high‑severity outages or service disruptions. Able to perform real‑time incident coordination, root cause analysis, and drive follow‑ups (post‑mortems, action items) to prevent recurrence. Knowledge of industry best practices for incident management and fault diagnosis.

• Have strong skills in scripting or software engineering (e.g., Python or similar) to automate repetitive tasks and integrate tools.

• Have solid understanding of cloud infrastructure and distributed systems fundamentals. Comfortable working with cloud services, load balancers, databases, and containerized applications.

• Are effective at working cross‑functionally in a high‑trust environment. Strong communication skills to explain technical issues and resolutions to both engineering and non‑technical stakeholders. You can coordinate efforts across teams and are comfortable providing updates in the midst of an ongoing incident.

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.

XML job scraping automation by YubHub

What you'll do

• In your first 60 days, gain an understanding of the GameKit environment and assess existing monitoring and observability systems.
• By 90 days, begin implementing the observability roadmap, contribute to incident response, and identify opportunities to improve automation and reliability.
• By 120 days, take ownership of main SRE plans, guide cross-team collaboration, and influence EA's approach to operational excellence.
• Beyond 180 days, lead long-term strategies to improve reliability, mentor engineers, and champion sustainable and scalable engineering practices.

What you need

• Experience operating cloud platforms, especially AWS and Azure.
• Experience in monitoring, observability, and incident response at scale.
• Hands-on experience with Infrastructure-as-Code and automation.

XML job scraping automation by YubHub