Location: Remote
We are looking for an
Analyst
, who can help us solve a diverse range of tasks, including conducting industry research, analyzing exchange data and mechanisms, and preparing comprehensive analytical reports using Python and other tools.
WHAT YOU'LL BE DOING:
Analyze trading conditions and rules across multiple exchanges
Research and structure diverse exchange mechanisms
Organize and maintain gathered information in a clear and structured format
Collect and compare market activity statistics across exchanges and asset types
Study raw exchange product data
Prepare technical tasks for developers
Aggregate data from multiple sources using Python
Communicate regularly with external counterparties
Collaborate with different teams across the company
WHAT WE LOOK FOR IN YOU:
BS / MS in Economics, Finance, Computer Science, or a related discipline
Knowledge of Python and MS Office
Good understanding of exchange operations, trading mechanisms, and the landscape of global exchanges and tradable asset types
Keen interest in financial markets
Strong analytical skills and attention to details
Strong time management skills to handle multiple tasks and meet deadlines
Proficiency in English
Good communication skills, both written and verbal, for effective collaboration with internal teams and external parties
Ability to learn quickly and adapt to new challenges
WHY SHOULD YOU JOIN OUR TEAM?
Diverse range of tasks
Great challenge with fast feedback loops
Remote from anywhere in the world
Access any of our global offices anytime
Flexible schedule
40 paid days off
Location: Global
Talent is everywhere, opportunity is not. Sora Union changes that.
Sora Union
is a globally distributed professional services company that specializes in Design, Software Engineering, QA. Our experienced talent comes from communities where there is displacement or risk of displacement due to conflict or climate change. We provide services to global companies and start-ups across various industries, including healthcare, financial services, technology, and education.
We are seeking a Forward Deployed Engineer to join our growing team, where you will act as an internal entrepreneur, driving AI initiatives from ideation to production both internally and for our customers.
As a FDE, you will work closely with the Engineering , Product/Brand Design, and QA teams.
You'll be responsible for:
Customer-Facing AI Solutions: Act as the primary technical partner for customers, translating operational needs into production-grade AI experiences.
End-to-End Implementation: Own projects entirely, from data cleaning and prototyping to full deployment, monitoring, and debugging in customer environments.
Performance Optimization
:
Implement model compression, quantization, and efficient serving techniques to meet strict latency and throughput requirements for customer-facing applications.
Advanced Prompt Engineering & LLM Customization: Develop sophisticated prompt chaining, self-correction mechanisms, and context management strategies (e.g., using RAG architectures) to enhance LLM application performance and accuracy.
Ideally, you'll have:
AI/ FDE Development Experience: 3+ years of experience building and deploying production-level AI/ML models.
MLOps Tooling: Hands-on experience with MLOps platforms and tools such as MLflow, Kubeflow, or Weights & Biases for experiment tracking and model registry.
Technical Proficiency: Strong expertise in Python and deep learning frameworks (TensorFlow, PyTorch), along with experience in LLM orchestration frameworks (e.g., LangChain, LlamaIndex).
Data Engineering/API Skills: Proven ability to build and maintain high-performance, low-latency RESTful APIs (e.g., using FastAPI or Flask) for serving models, and strong proficiency in SQL/NoSQL databases for data integration.
Customer-Facing Experience: Proven ability to work directly with stakeholders to define requirements and deliver value, ideally in a consulting or specialized engineering role.
Deployment Expertise: Experience containerizing models (Docker) and deploying to cloud environments (AWS, GCP, or Azure).
Entrepreneurial Mindset: Ability to thrive in a fast-paced environment, taking initiative to solve ambiguous problems
Sora Union is committed to creating and fostering a diverse team. We encourage people from underrepresented backgrounds and all walks of life to apply. We are committed to providing reasonable accommodations to all applicants throughout the application process.
Location: Amsterdam, Netherlands; Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for
an experienced Security Architect Manager to lead our cybersecurity architecture function, with a strong focus on Kubernetes security, cloud infrastructure, cloud-native architectures, and secure software development.
The role is responsible for defining and implementing security architecture principles, designing secure cloud-native environments, and embedding security throughout infrastructure provisioning and software development lifecycles.
The successful candidate will combine deep technical expertise in Kubernetes and cloud security with proven team leadership, architectural design, and cross-functional collaboration skills. They will work closely with Cloud Engineering, DevOps, R&D, Platform Engineering, IT, and Security teams to ensure that security is built into the organization’s technology foundations.
Your responsibilities will include:
Cybersecurity Architecture
Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles.
Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives.
Translate threat models, business requirements, and risk assessments into practical security controls.
Establish security-by-design principles across cloud, infrastructure, application, and platform architectures.
Identify architectural security gaps and drive remediation roadmaps.
Kubernetes and Cloud-Native Security
Design and implement security architectures for Kubernetes-based environments and cloud-native platforms.
Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications.
Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management.
Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity.
Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments.
Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable.
Establish security controls for container orchestration platforms across development, testing, and production environments.
Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads.
Cloud Infrastructure Security
Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments.
Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management.
Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement.
Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies.
Ensure alignment with organizational security requirements and relevant industry standards.
Secure Development and DevSecOps
Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations.
Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines.
Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning.
Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls.
Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery.
Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams.
Security Engineering and Risk Management
Develop technical security standards, architecture patterns, and security control baselines.
Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews.
Define security requirements for identity, access, data protection, network security, workload isolation, and observability.
Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness.
Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit.
Track security findings and drive measurable improvements in the organization’s security posture.
Team Leadership and Collaboration
Lead, mentor, and develop a team of cybersecurity architects and security engineers.
Define team strategy, technical priorities, delivery plans, and measurable performance indicators.
Build effective partnerships with Cloud Engineering, DevOps, R&D, Platform Engineering, and other technology stakeholders.
Communicate complex architectural risks and technical trade-offs to senior management and engineering leadership.
Foster a culture of engineering excellence, automation, accountability, and continuous improvement.
We expect you to have:
7+ years of experience in cybersecurity, security engineering, cloud security, or security architecture.
3+ years of experience managing technical teams or leading senior technical professionals.
Strong practical knowledge of Kubernetes architecture and container security in production environments.
Demonstrated experience securing cloud-native workloads and distributed systems.
Strong expertise in AWS and/or Microsoft Azure security architecture.
Hands-on understanding of Kubernetes RBAC, network policies, admission controllers, workload security, secrets management, and container runtime security.
Experience with Docker or other container technologies, Kubernetes deployment workflows, and container registries.
Strong understanding of cloud networking, IAM, encryption, key management, logging, and workload protection.
Practical experience with Infrastructure as Code and automated security controls.
Experience securing CI/CD pipelines and integrating security into software development processes.
Knowledge of threat modeling, vulnerability management, security architecture reviews, and risk assessment methodologies.
Proven ability to influence engineering teams and translate security requirements into scalable technical solutions.
Excellent communication skills in English.
Key Success Metrics
Improved security posture and reduced attack surface across Kubernetes and cloud environments.
Reduction in critical misconfigurations, excessive privileges, and recurring architectural vulnerabilities.
Increased adoption of secure-by-design architecture patterns across engineering teams.
Improved security coverage and automation across CI/CD pipelines and infrastructure provisioning.
Reduced time to remediate critical security findings.
Consistent implementation of Kubernetes and cloud security baselines.
Improved collaboration between cybersecurity, cloud infrastructure, platform, and development teams.
Development of a high-performing cybersecurity architecture team.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Singapore
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Note:
We are only considering applications from candidates currently based in Singapore.
We are looking for a
Senior Software Engineer (Golang)
to join our
Platform team
. Our platform is a large-scale system combining a Ruby on Rails monolith with a growing ecosystem of Go microservices. In this role, you will build and maintain business logic and enterprise-grade features for the Workato platform, including on-premise features, authentication, caching, work queuing, and APIs.
You will also be expected to:
• Design, build, and maintain Go microservices with a focus on correctness and reliability.
• Implement business logic and enterprise-quality standards across the platform.
• Collaborate with Infra and SRE teams to ensure high availability and scalability requirements are met.
• Contribute across all phases of the development lifecycle.
• Write well-designed, testable, and efficient code.
• Evaluate and propose improvements to existing systems.
Product & Technology Context:
Strong web development background, with experience building user-facing products — including UI, business logic, and integrations with external APIs.
Product-minded engineering experience: you understand how technology ties back to user and business needs, not just infrastructure.
Track record of shipping user-facing business features across product platforms, developer experience platforms, or other customer-facing surfaces.
Solid production experience — typically 7+ years — with the depth and maturity to build and support systems in production.
Clear understanding of how web applications work end-to-end, and how the different pieces fit together to deliver a product or business outcome.
Depth and consistency in technical background — we value engineers who've built real expertise over time, rather than hopping across many different stacks.
Our core platform is a Ruby on Rails monolith, with some Go services handling more focused functions alongside the Ruby/monolith team. Experience with these is a plus, but we care most about strong engineering fundamentals and product experience.
This role isn't primarily ML/LLM-focused, so candidates whose recent experience has been mostly in ML/LLM work may not be the strongest fit here.
Required
• 7+ years of industry experience in software engineering.
• Solid experience with Go on the backend (2+ years).
• Good debugging, analytical, and problem-solving skills.
• Understanding of core building blocks of web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc..
• Experience working with distributed systems.
• Familiarity with version control (Git) and CI/CD practices.
Nice to Have
• Experience with Ruby on Rails.
• Experience building B2B systems.
• Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc.).
• Experience with third-party REST APIs at scale (request throttling, batch processing, etc.).
• Contributions to open-source projects.
Soft Skills / Personal Characteristics
• Readiness to work with teams distributed across multiple timezones.
• Strong spoken and written English.
• Curiosity and openness toward new technologies; willingness to experiment.
• Ownership mindset — comfortable taking features from design through to production and maintenance.
REQ ID: 2423
Location: Remote
Company Description
We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company.
We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us.
Job Description
Join Olsson and work directly with the world’s leading technology companies delivering mission‑critical data center facilities. Our Data Center Commissioning group partners with clients to ensure their facilities are designed, built, tested, and delivered to perform as intended. We offer a collaborative, high‑performance environment grounded in technical excellence, trust, and long‑term client partnerships.
As a Client Manager, you will serve as the primary relationship owner for one or more key data center clients or programs. You will work closely with Commissioning leadership, Project Managers, and technical teams to ensure exceptional service delivery across complex, fast‑paced projects while supporting long‑term growth and client satisfaction.
Responsibilities:
Serve as the primary client point of contact for data center commissioning programs or portfolios.
Partner with Project Managers and Commissioning leaders to support project execution, staffing strategies, and delivery planning.
Understand client standards, operational priorities, and long‑term programs to proactively support their needs.
Develop client‑specific communication plans and provide regular updates on project status and performance.
Identify growth opportunities within existing accounts by introducing additional commissioning or lifecycle services.
Lead efforts with group leadership to secure repeat work through exceptional client service.
Manage client expectations, support issue resolution, and address concerns in coordination with internal leaders.
Incorporate client feedback to improve service delivery and internal processes.
Represent Olsson as a trusted advisor through clear communication and technical understanding.
Qualifications
You are passionate about:
Working collaboratively with others.
Having ownership in the work you do.
Using your talents to positively affect communities.
Building long‑term client relationships.
You bring to the team:
Strong client‑facing communication and relationship management skills.
Experience supporting complex projects—preferably within data centers, commissioning, or mission‑critical facilities.
Ability to translate technical activities into clear, client‑focused messaging.
Bachelor’s degree in engineering, construction management, or a related field (preferred).
Minimum of eight years of progressive client or project experience.
Familiarity with electrical and mechanical data center systems is strongly valued.
Willingness to occasionally support client meetings, site visits, or travel as needed.
#LI-DD1
#REMOTE
The typical annual salary range for this role is as listed below. Compensation may vary based on geographic location, experience, and qualifications. Employees in this role may be eligible for our performance‑based bonus and merit increases.
National Pay Range
$140,000
—
$220,000 USD
Additional Information
Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come.
As an Olsson employee, you will:
Receive a competitive 401(k) match
Be empowered to build your career with tailored development paths
Have the possibility for flexible work arrangements
Engage in work that has a positive impact on communities
Participate in a wellness program promoting balanced lifestyles
In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance.
Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status.
Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices.
For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice
here
.
Location: New York, NY (HQ)
Workplace: OnSite
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
Explore our Engineering Blog https://builders.ramp.com & Emerging Talent https://builders.ramp.com/emerging-talent Blog to learn more about how we build at Ramp and what it’s like to start your career here.
ABOUT THE ROLE
Ramp is, at its core, an engineering company. We’re looking for backend engineering interns (12 or 16-week co-ops) excited to solve challenging technical problems and ship products used by real customers.
You’ll work alongside experienced engineers and own meaningful projects from inception to production. We value strong technical fundamentals, high ownership, and people who learn quickly, whether or not they’re familiar with our stack.
WHAT YOU’LL DO
- Build performant, reliable, and scalable systems powering Ramp’s products
- Own meaningful projects from design through launch
- Solve problems across areas like payments, risk and fraud, financial infrastructure, data, and AI
- Work closely with product and business teams to understand customer needs and improve our products
- Contribute to engineering tools and systems that help Ramp scale
WHAT YOU’LL NEED
- Currently pursuing a B.S. or higher in Computer Science or a related technical field, graduating December 2027 or later
- Strong computer science and programming fundamentals
- Track record of building and shipping high-quality products, features, or projects
- Ability to turn ambiguous product and business problems into engineering solutions
- Desire to learn quickly, take ownership, and work in a fast-paced environment
NICE TO HAVES
- Experience with or interest in Python and backend development
- Familiarity with or desire to learn our stack, including Flask, PostgreSQL, Temporal, Elixir, and AWS
- Interest in fintech, AI, or building products at scale
COMPENSATION
The monthly rate for this internship is $12,500 + a housing stipend.
RAMP BENEFITS
- Apple MacBook
- Catered lunches and dinners in our NYC office Monday through Friday
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Melbourne, Florida, United States
BRPH is a technically focused, creative architecture, engineering, and construction company with over six decades of expertise in helping mission-driven clients in the aerospace, defense, manufacturing, commercial, education, entertainment, hospitality, and federal markets identify gaps in their program delivery and develop innovative solutions to their most challenging problems across the U.S. and around the world. Consistently ranked among the nation’s top firms, we take pride in solving complex challenges with forward-thinking solutions.
About Melbourne:
Our headquarters is located in Melbourne, Florida, a vibrant city on the Space Coast where high-tech innovation meets coastal living. Here, you’ll work on dynamic, impactful projects while enjoying front-row views of rocket launches from our rooftop and quick access to some of Florida’s most beautiful beaches. Just an hour from world-class attractions like Disney World and Universal Studios, Melbourne offers the perfect balance of career growth, family life, and fun, all in a warm subtropical climate with a relaxed, suburban feel.
Overview
Assists in Project Management of BRPH projects by performing the following duties.
Job Responsibilities
Responsible for successfully managing his/her assigned projects to meet the customer’s program, expectations and the Firm’s Mission and Vision. Assignments require independent judgement and application of a non-routine, complex nature, under the supervision of the Project Manager. Assignments shall include variables and be complex. Makes decisions independently and represents the company and the customer to resolve important questions and to plan, coordinate, and manage projects. The knowledge and expertise required for this level of work results from progressive experience and education.
Understand the project scope, goals, and limitations. Understand and visualize the customer’s goals and expectations.
Communicate with the customer, the customer’s assignees, the design team, the construction administration team, the contractors, and all agencies, as necessary, which are involved in order to successfully complete a project.
Attend project team meetings and OAC (Owner Architect Contractor) meetings
Manage internal cross discipline coordination
Generate project reports utilizing Deltek Vision
Manage minutes from meetings (internal & client)
Assist in updating project schedules
Assist in conducting quality control activities throughout the project
Provide technical information to team members and consultants
Understand Earned Value Management (EVM) reporting and invoicing
Attend monthly PM reporting meetings
Become proficient in MS Projects
Assist the project manager in writing and executing the project management plan for the project
Assist the project manager in developing and reviewing the budget and schedule for the project
Complete BRPH University PM training
Complete PSMJ Training
Education and/or Experience
Minimum of bachelor’s degree, in Architecture, Engineering or Construction related field, from an accredited four-year college or university.
Must have minimum of three (3) years related experience in areas as listed under essential duties and responsibilities.
Qualifications
Microsoft Windows, Excel, Project, and Word
Promotes and represents the firm in a professional manner.
Responsible for project specific standards, practices and quality as defined in BRPH Systems Manuals.
Must be a US Citizen or a Permanent Resident.
Physical Requirements
Specific vision abilities required by this job include close vision, color vision, depth perception, and the ability to adjust focus.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This job description may be changed to include new responsibilities and tasks or change existing ones as management deems necessary.
EOE, including Disability/Vets
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via
Claude.ai
, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.
You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Developer Experience:
You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.
Beneficial Deployments:
Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
Vertical AI Products:
Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:
Life Sciences
— an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.
Enterprise AI Products:
You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:
Extensibility
— plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
Context
— enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
Proactivity
— Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
Public Sector:
Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them.
Enterprise Foundations:
You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.
Growth:
Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
Have a minimum of 6 years of practical full-stack engineering experience
Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
Are technically proficient in
modern
frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
Take a product-focused approach to building solutions that are robust, scalable, and easy to use
Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority
Have experience establishing engineering standards, component architectures, and development best practices
Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$320,000 USD
Logistics
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. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via
Claude.ai
, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.
You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Platform Ecosystem:
The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line.
Beneficial Deployments:
Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
Vertical AI Products:
Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:
Life Sciences
— an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.
Enterprise AI Products:
You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:
Extensibility
— plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
Context
— enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
Proactivity
— Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
Public Sector:
Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them
Enterprise Foundations:
You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.
Growth:
Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level
Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
Are a technical expert in
modern
frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
Take a product-focused approach to building solutions that are robust, scalable, and easy to use
Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
Care deeply in investing in the mentorship and growth of your peers
Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority
Have experience establishing engineering standards, component architectures, and development best practices
Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
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. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
Anthropic is looking for experienced, product-minded engineers to own the backend systems that power user experiences across our API, Claude Code, and Claude.ai. You'll independently scope complex, multi-month projects through ambiguous problem spaces and lead peers through technical and product decisions; you'll drive alignment with product, peer engineering teams, and research to identify capability gaps and translate frontier model improvements into shipped products. You'll make architectural decisions that affect the reliability and scalability of systems serving hundreds of thousands of global users (including internal teams), and design processes that help your team operate effectively and never fail the same way twice - all while staying hands-on with the code and our models.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential:
Platform Intelligence:
You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack.
Platform Ecosystem:
The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line.
We are hiring founding engineers for these two pillars. We are looking for engineers who have good product and business sense to drive strategy, dive into different stacks, and break through walls to drive these 0 -> 1 efforts. You'll be working closely with product, design, GTM, FDE, and other internal & external customers to build out and deliver on the strategy.
Platform Serving:
You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers.
Developer Experience:
You’ll focus on building products and tools to enable developers to harness the full power of LLMs to create successful, reliable, and groundbreaking applications with ease. You’ll build the tools to accelerate developers from idea to deployment. You'll help figure out how to leverage Claude to improve developer's usage of the API, such as generating and evaluating prompts while collaborating closely with the teams above to bring Claude's current and future capabilities to developers.
Agentic Systems:
You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production.
Auth & Identity:
We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.
Platform Distribution:
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. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it.
Enterprise Foundations:
We're looking for a software engineer to join our Enterprise Foundations team—the team that makes Claude enterprise-ready at scale. When a Fortune 500 company wants to roll out Claude to 100,000 employees, we're the team that makes it possible.You'll build the foundational systems that large organizations require before they can deploy AI at scale: user and permissions management, security and compliance features, and analytics infrastructure. This work directly converts product-market fit into revenue by removing the deployment blockers that prevent large organizations from adopting Claude broadly.
Platform Safety:
We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API,
Claude.ai
, and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale.
You Might Be a Good Fit If You:
Have 8+ years of relevant experience as a backend or product engineer, with a track record of leading complex, multi-month projects or teams as a tech lead or equivalent
Have strong coding fundamentals and are comfortable working across backend systems, APIs, and integrations — and can reach into the frontend when needed to ship an effective solution
Have led the design and delivery of large-scale backend systems in production that power high-adoption B2B or consumer facing products
Are skilled at driving alignment across technical and non-technical teams; you communicate clearly, influence technical decisions beyond your immediate team, and help others ramp effectively on your systems
Take a product-focused approach to your work work and care about building solutions that are robust, scalable, and easy to use
Care deeply about investing in the mentorship and growth of your peers
Have experience with distributed systems, API design, and cloud infrastructure at scale
Thrive in fast-paced environments and can navigate ambiguity to find the highest-leverage path forward
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
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. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations
Austin, US
Lisbon, Portugal
London, UK
NYC, US
About the Role
The Egress team was formed to own a very important aspect of Cloudflare's network-as-a-service: Egress connectivity for our vast portfolio of products.
As a member of the Egress team, you will be a key technical contributor to a cutting edge network software infrastructure used by a growing number of Cloudflare products to connect to any destination from Cloudflare's network. Among the products powered by this technology is WARP, our Zero Trust platform, and Cloudflare's egress proxy for the
iCloud Private Relay
product.
You will work closely with various Engineering teams to translate their requirements into new capabilities on the platform. Likewise you will partner with Network Engineering and SRE to ensure that the technology makes the best use of Cloudflare's world-class edge network.
You will participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments. You will work with a wide range of technologies and programming languages, including Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and more.
Engineering teams at Cloudflare operate a Run What You Build model, including ours. We are responsible for the health of our system and participate in our team's on-call rotation as part of operational responsibilities.
Because you’ll be solving problems of massive scale and significance, you are a growth-oriented individual who enjoys being outside of your comfort zone. You are comfortable in a fast-paced but sensible work environment. You value curiosity and empathy and lead with these values.
Responsibilities
Make daily progress on assigned engineering tasks, such as designing systems, writing specs, writing and pushing code via git, writing release plans for complex changes, rolling out production releases and working with other teams to coordinate system actions
Participate in daily and ad-hoc team meetings to share progress and collaborate
Participate in the team’s on-call schedule to ensure uptime of our production systems
Investigating customer issues that are escalated to the Egress team for triage and resolution
Responding to questions from other teams in the Egress team’s internal, public chat room
Using AI-powered tools and systems as part of your daily workflow to analyze and extend codebases, introspect production systems and datasets, and accelerate problem-solving
Desirable Skills, Knowledge, and Experience
Programming experience in
Go or Rust
and a desire to improve your skills in both.
A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model.
Knowledge of HTTP, TLS, and CDN networks.
Experience in implementing secure and highly-available distributed systems.
Strong ability to debug issues in complex systems.
Strong collaboration and communication skills.
Experience/interest in HTTP networking and VPN technologies.
Experience/interest in network performance monitoring and tuning.
Willingness to adopt and integrate AI tools and systems into your engineering workflow.
Bonus Points
Knowledge of TCP/IP and Internet routing.
Professional systems-level programming experience in Rust.
Experience building tools and APIs.
Experience with monitoring, alerting, and debugging large-scale distributed systems
Experience participating in an on-call rotation.
Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting.
Compensation
● For Portugal based hires: Estimated annual salary is between €66,000 - €91,000.
The final offer will be inclusive of time exemption, in alignment with the applicable law and collective bargaining agreements.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
We are looking for experienced software engineers to join our Platform organization. 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 - either internally or by hundreds of thousands of external global users and companies at all stages.
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent
distributed systems, cloud-native products, developer tools, or external developer facing products
Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end
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
Take full ownership of your work—from design through deployment and operations
Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
Care about building systems that other engineers love to use
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
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. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote, Global
Workplace: Remote
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
Auth https://supabase.com/auth, written in Go https://github.com/supabase/auth (server) and with client libraries for TypeScript https://github.com/supabase/supabase-js, SSR https://github.com/supabase/ssr and for other frameworks and technologies, is one of the most popular products in the Supabase stack. We are seeking someone to help us build new and maintain existing Auth features.
WHAT YOU’LL BE RESPONSIBLE FOR
- Designing and implementing secure, scalable authentication features in Go and TypeScript.
- Working across the stack: from server-side protocols to client-side libraries for frameworks like Next.js.
- Owning the performance, reliability, and scalability of the Auth server across Supabase's infrastructure.
- Contributing to the evolution of our Auth architecture, including support for OAuth, OIDC, SAML, and other protocols.
- Planning and executing safe database migrations across a large fleet of Postgres instances.
- Building and improving observability: metrics, tracing, alerting, and dashboards to keep the system healthy at scale.
- Writing and reviewing RFCs as part of our product development process.
- Collaborating with engineers across Supabase to ensure a seamless experience for developers using our tools.
- Supporting the community and responding to developer feedback on GitHub, Discord, and other channels.
YOU MIGHT BE A GOOD FIT IF YOU
- (Required) Have 4+ years of professional experience writing and shipping Go in production.
- (Required) Have 2+ years of professional experience working on an authentication system (implementing protocol support, maintenance at scale).
- (Required) Have strong relational database experience (Postgres or MySQL); Postgres experience is a bonus.
- Have strong knowledge of TypeScript in addition to Go (languages used daily).
- Have strong knowledge of web technology fundamentals (cookies, sessions, JWT, HTTP, browser APIs).
- Have good knowledge of and deep interest in authentication security (passwords, protocols such as OAuth, OIDC or SAML, cryptography fundamentals such as hash functions, signatures and ciphers).
- Have experience working with multiple web frameworks like Next.js (or other SSR alternative in the JavaScript space) and traditional web frameworks like Ruby on Rails, Django, Laravel or equivalent (in any language).
- Have good technical writing skills (RFC process is an important part of making changes to the Auth product).
- Have hands-on experience building and operating services at significant scale.
- Have deep understanding of systems-level concerns: memory management, concurrency patterns, and compute resource optimization in Go.
- Have experience with Kubernetes and AWS (or comparable cloud platform) in a production setting.
- Have solid grasp of observability practices — metrics, distributed tracing, structured logging, and alerting (e.g., Prometheus, Grafana, OpenTelemetry).
- Have experience managing database schema migrations safely at scale.
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
Location: Palo Alto, California
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
We’re hiring a
Director of Product Management
to lead Workato’s
Platform, Security, and Enterprise Readiness
strategy.
This is a high-impact role focused on building the
foundation that unlocks enterprise adoption at scale
—from secure deployments and governance to compliance, observability, and global infrastructure.
You will define how large, regulated, and global organizations confidently adopt Workato for mission-critical workloads.
This role sits at the core of Workato’s next phase of growth.
You will unlock new enterprise and regulated markets by building platform capabilities that meet stringent security and compliance requirements.
You will eliminate platform-level deal blockers that slow down or prevent large enterprise adoption.
You will accelerate onboarding and time-to-value for customers adopting Workato at scale.
You will enable customers to confidently run mission-critical workflows on the platform.
In this role, y
ou will also be responsible to:
Identity, Access & Security
You will define and scale authentication capabilities, including SAML, SCIM, 2FA, and domain management, to support enterprise identity standards.
You will lead the evolution of authorization models, including RBAC 2.0 and fine-grained access controls across projects and shared assets.
You will drive secure credential management through integrations with enterprise secrets and vault systems such as AWS, Azure, and HashiCorp.
You will ensure strong platform security through encryption, data retention controls, and IAM-based access mechanisms.
Enterprise Governance
You will build governance models that enable centralized control across distributed teams using AHQ and multi-workspace management.
You will define and enhance environment lifecycle management to support Dev, Test, and Prod workflows aligned with enterprise SDLC practices.
You will deliver the Enterprise Command Center as a unified control plane for visibility, governance, and capacity planning across the platform.
Ensure AI features ship with the same security posture as core platform capabilities
Observability & Auditability
You will define and scale platform observability, including centralized logging, audit trails, and debug trace capabilities.
You will expand log streaming integrations to SIEM tools such as Splunk, Datadog, and cloud storage platforms.
You will drive adoption of OpenTelemetry standards to enable enterprise-grade monitoring and tracing.
You will enable API traffic monitoring and anomaly detection to strengthen platform security and operational visibility.
Developer Platform & APIs
You will expand developer APIs to enable programmatic management of workspaces, assets, and platform configurations.
You will support enterprise CI/CD workflows through automation of deployments and environment management.
You will define secure and scalable API access models with fine-grained permissions for enterprise use cases.
Infrastructure & Deployment
You will lead the strategy for private cloud deployments, including single-tenant environments within customer AWS networks.
You will drive expansion into new data centers to meet data residency and sovereignty requirements.
You will define and deliver cross-region backup and disaster recovery capabilities for enterprise resilience.
You will ensure AI capabilities are available across regions to support global enterprise adoption.
Compliance & Enterprise Expansion
You will partner with compliance and security teams to support certifications such as SOC2, ISO, PCI, and HIPAA.
You will translate compliance requirements into scalable product capabilities that reduce friction during enterprise onboarding.
You will position compliance and security capabilities as strategic enablers for market expansion and deal acceleration.
Customer Management and Deal Support
Serve as the product leader in enterprise security reviews, Infosec questionnaires, architecture deep dives
Influence customer and prospect CISOs, IT, Compliance and Security leaders at Enterprises procuring Workato platform
Requirements
Qualifications / Experience / Technical Skills
You bring 10+ years of product management experience, with a strong focus on platform, security, or infrastructure products.
You have experience building and scaling enterprise SaaS platforms used by large organizations.
You have deep familiarity with identity and access systems, including SAML, SCIM, and RBAC models.
You understand enterprise security, compliance frameworks, and governance requirements.
You have experience with observability, logging, and audit systems in distributed platforms.
You are comfortable working across engineering, security, infrastructure, compliance, and GTM teams.
You can translate complex enterprise requirements into simple, scalable, and adoptable product experiences.
You are familiar with SIEM tools and SOC workflows.
You have built or managed developer platforms or platform APIs.
You have experience supporting global SaaS deployments across multiple regions.
Experience with taking products through FedRAMP certification is a plus
(REQ ID: 2704)
Location: Singapore
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
DRW
is looking for an outstanding Software Engineer with an expertise in C++ to work in our Singapore office. In this role, you will be a part of our Core Infrastructure team which is responsible for designing, developing and maintaining DRW's low latency trading platform which is deployed global. You will be tasked with working on various areas of the technical stack including order routing, market data, and risk systems.
To qualify for this role, you:
Minimum of 5 years of experience working developing high-availability systems in C++ with very tight resource/latency constraints
Have a background in multi-threaded programming and a strong understanding of hardware/software interaction
Are comfortable working “under the hood” and you are quite skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting
Have experience working with C++ libraries like STL and Boost
Are up to date on the C++23 standards and have opinions about them
Have worked on challenging projects that involved things like building a custom compiler, writing a matching engine, or working with large amounts of data in real time
Have strong English verbal and written communication skills
Bonus points if you have:
Experience working in the trading industry or another ultra-low latency sensitive business that involves solving remarkably complex problems
Experience working with Research teams and Quants
Experience working within gaming or streaming
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-PR1
Location: Europe
Workplace: Remote
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
We’re looking for a Principal Engineer to join the ML Platform team at Synthesia.
Our team builds and operates the systems that allow researchers and product teams to train, serve, and deploy generative models reliably and efficiently. This includes research infrastructure, production serving systems, internal tooling, and the platform interfaces that connect them. A growing part of our mission is making these systems more automation-friendly and agent-oriented, so that workflows can increasingly be operated through reliable tooling rather than manual effort.
We’re looking for a strong generalist with a systems mindset:
- someone who is comfortable working across infrastructure, backend systems, and tooling, and who has seen ML systems in practice.
- this is not a pure ML Engineer role. We’re especially interested in people who think deeply about reliability, scalability, performance, and resource efficiency in complex production environments.
This is a hands-on IC role with significant ownership. You’ll help shape how our ML platform evolves as we scale the number of models, workloads, tools and teams relying on it.
WHAT YOU’LL DO
- Design and improve the platform systems that support model training, evaluation, and production serving.
- Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient.
- Develop internal tools and workflows that are easy to operate both by humans and by agents.
- Work on the architecture behind how models are deployed, served, and operated across research and product environments.
- Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure.
- Develop internal tools and abstractions and agentic systems that reduce operational overhead for researchers and engineers.
- Drive improvements across observability, automation, reliability, and developer experience.
- Collaborate closely with researchers and product engineers to understand pain points and turn them into robust platform capabilities.
- Contribute to technical direction and make pragmatic architectural tradeoffs as the platform grows.
YOU’LL THRIVE IN THIS ROLE IF YOU HAVE
- Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability.
- A systems mindset: you naturally think in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability.
- Solid hands-on experience with cloud infrastructure, Linux, and infrastructure automation.
- Experience with Kubernetes and operating distributed workloads in production.
- Strong coding skills, ideally in Python or similar languages used for backend systems and tooling.
- Strong judgment around where automation adds leverage, and where human control and reliability matter most.
- Experience building internal platforms, developer tooling, or infrastructure abstractions used by other engineers.
- Comfort working in ambiguous environments and taking ownership of open-ended technical problems.
- A pragmatic approach: you care about solving the right problem well, not over-engineering.
PARTICULARLY RELEVANT EXPERIENCE
- Operating ML infrastructure or model serving systems in production.
- Supporting research or data-intensive workloads.
- Working with GPU-based systems or other performance-sensitive infrastructure.
- Experience with observability and debugging in distributed systems.
- Familiarity with Terraform, Datadog, GitHub Actions, or similar tools.
BONUS POINTS FOR
- Experience building agentic or LLM-powered internal tools.
- Experience with workflow orchestration systems such as Temporal.
- Experience working at the boundary between research and production engineering.
- Familiarity with performance optimization, scheduling, or resource allocation problems.
- Experience building lightweight product or developer-facing tools.
Location: APAC
OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa.
Who We Are:
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the team:
The OKX Data Team owns and powers the company’s enterprise-wide data ecosystem. We are responsible for the full data lifecycle — from technology selection and architecture design to data ingestion, storage, ETL development, visualization, business intelligence, and advanced data science.
Our team drives end-to-end data ownership across OKX, ensuring that data is reliable, scalable, and actionable. We build the foundational data infrastructure that empowers evidence-based decision-making and continuously enhances the quality of our products and services.
As a
Data Engineering Director
, you will
lead a high-impact team
in
designing and scaling mission-critical data platforms
that serve the entire organization. You will also play a key role in
driving the adoption of Agentic AI
to elevate how we build, operate, and evolve our Data Engineering capabilities.
Responsibilities:
Lead and mentor a team of Data Engineers to design and build resilient, scalable, and high-performance data pipelines for both batch and real-time streaming workloads
Championing Agentic AI adoption across workflows (text-to-SQL agents, automated data quality remediation, self-healing pipelines etc.)
Defining best practices, guardrails, and evaluation frameworks for safely deploying AI agents in the data lifecycle
Architect and implement robust Data Warehouse and Data Mart solutions, including data modeling and ETL pipeline development
Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling techniques (star and snowflake schemas)
Define and implement cloud-based data infrastructure using industry-standard technologies and modern architectural principles
Drive technical excellence and delivery across mission-critical projects in a fast-paced, high-growth environment
Partner closely with cross-functional teams to translate business requirements into scalable data solutions
Requirements:
At least 8 of more years of experience in a Data Engineering, Data Warehousing or Data Mart related field
Practical experience in building offline and real-time Data Warehouses
Familiarity with Data Warehouse Modelling theory and experience in Data Warehouse Model Design, plus an in-depth understanding of Data Warehouse systems, and experience supporting real-world business scenarios
Familiarity with Agentic AI frameworks (LangChain, LlamaIndex, AutoGen, etc.) and productionising them in a data context
Experience building AI-powered data tools — NL query interfaces, automated anomaly remediation agents, intelligent data observability
Hands-on experience applying Agentic AI to data engineering (text-to-SQL, LLM-powered remediation, self-healing pipelines, automated metadata/lineage management and more)
Good to have:
Familiarity with various big data architectures, especially Alicloud DataWorks/MaxCompute, AWS Spark, Databricks, and StarRocks/Doris
Experience in R&D of real-time big data systems and real-time data warehouses
Experience in building Data Platforms such as User Profiling, Risk Control Systems, and Indicator Systems
Prior experience managing a team of Software Engineers/Data Engineers
Perks & Benefits:
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process1
Discl
aimer: Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Amsterdam, Netherlands; Tel Aviv, Israel
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
seniorSingapore; Readiness to work with teams distributed across multiple timezones
Ho Chi Minh City
УдалённоГеография найма не уточнена
ОфисСтажёрNew York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
Melbourne, Florida, United States
seniorSan Francisco, CA | New York City, NY | Seattle, WA; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams
San Francisco, CA | New York City, NY | Seattle, WA; Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team
San Francisco, CA | New York City, NY
seniorГеография найма не уточнена
San Francisco, CA | New York City, NY | Seattle, WA; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
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