Location: In-Office
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, TX | New York, NY | San Francisco, CA
About the role
Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.
The
Cloudflare Queues
team builds a managed, global message queuing service for developers. Queues allows customers to send, buffer, and reliably deliver messages between Workers with at-least-once delivery, batching, and configurable delivery guarantees, without managing infrastructure or paying bandwidth egress fees. Deeply integrated with Cloudflare Workers, Queues supports event-driven and asynchronous applications across the Developer Platform. Generally available since September 2024, Queues runs at global scale on Cloudflare’s edge network and is a foundational building block for event-driven and asynchronous applications.
In this role, you will help design and build
Cloudflare Queues
, improving reliability, performance, and delivery guarantees while shipping new features at global scale. You will own your work from design through release and contribute across the software stack. This role is AI-first, and you will be expected to use AI tools thoughtfully throughout the development lifecycle without compromising security, reliability, or quality.
Responsibilities
Design and build Cloudflare Queues as part of Cloudflare’s developer platform.
Maintain and improve a global-scale message queuing service.
Ship new features and product improvements.
Improve reliability, performance, and delivery guarantees.
Own code from inception through release.
Work across all layers of the software stack.
Write design documents to propose and communicate solutions.
Improve message buffering and delivery behavior.
Improve producer and consumer scalability under load.
Debug and fix user-facing bugs.
Use AI tools responsibly throughout development.
Desirable skills, Knowledge & Experience
4+ years of experience with distributed systems and data.
Experience using AI-assisted development tools across the software development lifecycle.
Strong judgment for when to rely on AI tools and when to validate independently.
Strong ownership of correctness, security, and quality.
Willingness to share knowledge and mentor others.
Excellent oral and written communication skills.
Ability to document complex ideas clearly and concisely.
Solid understanding of TypeScript/JavaScript.
Strong systems-level programming skills.
Understanding of security issues and responsibilities.
Experience monitoring, alerting, and debugging high-volume production systems.
Experience with continuous integration workflows and git.
Ability to analyze data sets such as logs.
Experience designing and building APIs.
Commitment to continuous learning and improvement.
Compensation
Compensation may be adjusted depending on work location.
F
or Bay Area based hires: Estimated annual salary of $194,000 - $266,000
For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
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: Warsaw
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Senior AOCS System Engineer
- Location: Warsaw, Poland
- Department: Engineering
- Reports to: Jakub Lisowski, Engineering Manager
- Employment type: Permanent
- Workplace model: Hybrid ( 2- 3 days onsite at our Warsaw office)
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
The Mission of the AOCS Systems Engineer
You ensure that our satellites always point towards the right direction enabling high-quality images.
This role is within AOCS Domain where we are responsible for maintaining attitude and orbit. Your job will be to work closely with production teams, operation teams and software teams to ensure smooth and performant operation of our ADCS and propulsion systems in orbit and on ground. Expect to be involved in the complete lifecycle of the system - from design phases of future ICEYE satellite generations to maintenance of existing systems we, and our customers operate.
You will have a chance to have a direct impact on our mission success as performance and reliability of the AOCS system directly affects the amount and quality of Synthetic Aperture Radar (SAR) data we deliver to our customers.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Expected Outcomes:
1. Increased Imaging Performance and Mission Success. You will help driving the performance of our AOCS systems by:
- Driving selection of future AOCS hardware components.
- Characterizing and validating existing AOCS performance by designing and executing in-orbit experiments and analyzing telemetry data with the help of analysis software you develop.
- Developing software tools to predict performance of our future AOCS systems.
2. Maximized AOCS Availability. You will ensure that our systems perform as expected within their design envelope by:
- Maintaining verification procedures and working closely with production and testing teams in implementing process improvements and new test jigs.
- Debugging on-orbit anomalies requiring deep system system understanding and systematic approach towards pinning the root-cause. Understanding an anomaly is a first step towards preventing it in the future.
- Supporting software teams in implementing changes to software to prevent repetition of known issues.
- Work on software tools helping debug AOCS anomalies as they happen.
3. Robust and Predictable AOCS Operations. You will help the team establish and evolve internal processes for anomaly handling and resolution.
WHAT WE’RE LOOKING FOR
Must haves:
- Thinking from a first-principles mindset - your work will often involve resolving in-orbit anomalies, which you will need to tackle in a systematic manner to understand their root-cause and propose solutions to mitigate those in the future.
- Strong understanding of AOCS fundamentals: rigid body motion, differential equations, coordinate transformations, 3d geometry, feedback loops, state estimation. Basic understanding of orbital dynamics.
- Strong understanding of underlying principles of operation and failure modes of sensors and actuators used in AOCS: reaction wheels, magnetorquers, star trackers, gyroscopes, magnetometers, GNSS.
- Strong understanding of performance drivers of AOCS systems.
- Proven track record of owning cross-domain systems involving feedback control loops over their complete lifecycle including maintenance and operations.
- Demonstrated broad knowledge across multiple engineering disciplines including controls, mechanical and electronics. AOCS is an electromechanical system in the and requires broad perspective to understand it fully
- Proficiency in Python, C++ or Matlab.
APPLICATION PROCESS
1. (remote) Talent Acquisition Screening
2. (remote) Hiring Manager interview
3. (remote) Take-home technical task and panel interview
4. (on-site) System thinking workshop
5. (on-site) Behavioural interview to assess cultural fit
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Taiwan
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.
About the Role
We are looking for a technically strong, hands-on
QA Engineer
to join our hardware team on-site at ODM factories in Taiwan. This is not a checklist job - we're looking for someone who enjoys digging deep into technical issues, investigating root causes, and taking ownership of complex hardware problems.You'll be the key person ensuring the quality of our servers and racks before they ship, but more importantly, you'll play a critical role in debugging failures, analyzing test data, and working closely with RnD, logistics, and factory teams to continuously improve the process and the product.This is a deeply technical role that blends hardware validation, manufacturing QA, and problem-solving - perfect for someone who understands how servers are built and tested, and wants to make sure every unit that leaves the factory is production-grade.
What You'll Own
Technical Investigation & Debugging
Investigate complex problems (e.g., high GPU failure rate, power-related test failures), gather logs, run diagnostics, and escalate with context to RnD when needed.
Drive root cause analysis across factory teams and internal engineering groups.
Document findings and help define preventive actions for recurring problems.
Act as the first line of technical escalation for hardware issues discovered during factory QA or internal testing.Engineering Support
Participate in new platform bring-up sessions together with the visiting RnD teams during on-site trips to ODM labs.
Provide technical support, coordination, and hands-on assistance during the bring-up process.
Help ensure early-stage hardware behaves as expected, and escalate integration or platform issues to the relevant teams.On-Site Product QA
Perform visual inspections of completed products (servers, racks) before packaging.
Define and maintain QA checklists and inspection procedures tailored to different product lines.
Verify inventory records at the factory against internal system data (part numbers, serials, configurations).
Oversee the product packaging process for compliance with defined standards.
Supervise pickup operations: ensure outbound trucks meet shipment conditions and schedules.Failure Rate Monitoring & Analytics
Collect failure data from vendor-side burn-in and our own test systems.
Analyze failure trends and estimate spare part needs for future datacenter deployments.
Use dashboards and structured reporting to communicate insights with QA, engineering, and supply chain teams.Feedback Loop & Quality Improvement
Gather and process feedback from datacenters on each delivered batch of equipment:
* Report on packaging issues, impact sensor triggers, shipping anomalies.
* Assess rack-level build quality: cabling, bracket alignment, labeling.
* Log systemic hardware issues (design flaws, infant mortality, recurring failures).
Forward the feedback to the teams: logistics, ODM partners, hardware RnD, QA.Test Infrastructure & Validation
Assist with deployment and maintenance of test infrastructure on-site.
Ensure Nebius post-manufacturing hardware validation tests run smoothly (uptime, monitoring, coordination with support team).
Coordinate real-time issue escalation and basic triage with factory and internal teams.Local Insight & Communication
Communicate relevant local risks and context (e.g., typhoons, holidays, factory-specific constraints) to our global logistics and hardware teams.
Maintain productive relationships with factory staff, logistics providers, and internal stakeholders.
Working Conditions & Tools
During production peaks, issues may arise that require fast, hands-on debugging and resolution on-site. Flexibility is expected: you may need to stay late to investigate failures in freshly built batches or arrive early to verify and unblock outbound truck shipments. Rapid response and clear communication with engineering and factory teams are critical during these high-pressure periods.
Occasional international travel may be expected to Nebius headquarters in Amsterdam or to datacenters in Europe and the US.
Daily work tools involve:
* Managing workflows and escalation via Jira
* Writing and maintaining technical documentation in Confluence
* Using Grafana dashboards for monitoring test environments and system health
* Operating with several internal inventory and test control systems
What You'll Bring
Strong technical background in hardware or systems engineering, able to independently investigate and troubleshoot complex issues with server systems.
5+ years of experience in hardware QA, manufacturing supervision, or server validation.
A strong background in R&D is a significant plus.
Solid understanding of server and rack hardware: components, layout, cabling, power/cooling, diagnostics.
Ability to read and interpret technical documentation (e.g., datasheets, system specs, debug manuals).
Solid knowledge of electrical engineering fundamentals (e.g., power specs, grounding, signal integrity).
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: Sta. Rosa, Laguna
Workplace: OnSite
Duties and Responsibilities
- Customer Onboarding
- Conducts customer due diligence and KYC (know-your-customer)
- Checks the legitimacy of the proof of identity and escalates immediately if suspected counterfeit or suspicious.
- Validates the completeness and accuracy of customer information on the customer information sheet/account opening form.
- Conducts signature verification.
- Photocopies the proof of identity and files it together with the account opening form.
- Creates the customer profile and opens the account in the Core Banking System (CBS)
- Secures appropriate approval for the creation completed.
- Releases passbook / chequebook / Time Deposit Certificate, as applicable, depending on the product availed by the customer.
- Scans the Account Opening Document Set.
- End-Of-Day (EOD) generation of report of all accounts opened and submits EOD report to the Service Delivery Head.
- Customer Information Update – validation of customer documents presented to support the update if customer-initiated request or performs update of customer profile as part of the periodic review.
- Conducts Enhanced Due Diligence as necessary.
- Maintains Customer’s Account in the system based on customer’s request or bank-initiated activities.
- Preparation of Customer Notifications and monitor its delivery status.
- Fire-Proof Cabinet / Vault Custodianship
- Safekeeps accountable forms and records the utilization of accountable forms.
- Safekeeping of Account Opening Documents, together with the proof of deposit, in a secured and organized manner during the branch banking hours.
- Act as dual custodian to safekeep or release the cheques received in a fire-proof cabinet/vault for deposit to the Depository Bank by the Teller.
- Customer Interaction such as but not limited to:
- Attends to customer queries at the branch.
- Responds to Customer Inquiry via email.
- Resolves customer complaint.
- Call-out (TD Maturity, Bounced Cheques, etc.)
- Release and Monitoring of Bounced Cheques Pick up and/or Replacement
- Debit Cards Handling
- Release of Debit Cards to Customers and Tagging in the System
- Blocking of Card – Lost / Stolen
- Destruction of aged card
- All files shall be safekept in the designated filing cabinet and shall be within the retention period.
- Ensure completion of tasks assigned within the agreed turnaround-time.
- Other processes that may arise related to Account Services.
- Timely reports concerns identified and possible issues that might have impact to branch operations.
- Acts as reliever when somebody goes on leave based on the relief arrangement within the team.
- Organizes team files (soft and hard copy) and adheres to the record retention policy.
- Identifies processes/systems for improvement but ensuring controls are in place.
- Initiates projects for the betterment of the team and the company as a whole.
- Participates on UAT/UVT for new or enhancement of systems that will have impact to the team.
- Participates in Business Continuity Plan (BCP) Activities.
- Prompt identification and escalation of issues noted and propose resolution to the immediate supervisor.
- Performs tasks that maybe assigned from time to time other than the basic responsibilities listed above.
- Assists in combatting money laundering by ensuring processes required are in place.
- Complies with regulatory requirements like BSP, AMLC, PDIC, BIR and other governing bodies.
- Strict adherence to company’s policies and code of conduct.
EDUCATION & COMPETENCIES
- University degree on Banking & Finance, or any related Business Course
- With at least 3 years of relevant experience in a banking industry
- Strong knowledge and experience in teller services or branch operations
- Sufficient knowledge of BSP regulations
- Good communication skills
- Problem-solving skills in a well-structured manner
- Ability to work with different culture, race, or ethnic group.
- Can work independently with minimal supervision.
- Acceptable risk management skills and ability to mitigate identified risks.
- Good interpersonal skills
- Keen attention to details
- Organize, innovative and results oriented.
- Ability to multi-task in a fast-paced environment
- Positive attitude knows how to find ways to address different circumstances.
- With official Signature Verification, KYC / CDD Training / Seminars attended.
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Senior Machine Learning Engineer
to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role focused on solving complex machine learning challenges, translating research into scalable solutions, and delivering reliable AI systems that operate effectively in real-world environments.
Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment.
Key Responsibilities
Build and develop core machine learning systems that power AI-driven product capabilities.
Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration.
Translate research concepts into reliable, production-ready machine learning solutions.
Investigate and resolve model performance issues and production system failures using real-world operational insights.
Continuously improve machine learning systems through rapid experimentation, measurement, and iteration.
Collaborate closely with research, product, and engineering teams to deliver impactful AI features.
Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers.
Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety.
Requirements
Proven experience building and deploying production machine learning systems used by real users.
Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments.
Excellent software engineering skills with the ability to develop robust, maintainable, production-quality systems.
Experience designing and implementing scalable machine learning pipelines and infrastructure.
Strong ownership mindset with the ability to independently solve complex technical challenges from concept through deployment.
Excellent problem-solving, communication, and collaboration skills within cross-functional engineering teams.
Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback.
Preferred Technical Skills
Experience with the following technologies is preferred:
Python
PyTorch and/or JAX
GPU-based training and inference systems
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a AI Backend Engineer to build and operate the backend infrastructure that powers AI-driven experiences across its products. The role focuses on owning the inference and orchestration layer that sits between AI models and end users, ensuring every interaction is fast, reliable, scalable, and cost-efficient.
Working closely with engineering and AI teams, this position will play a key role in designing production-grade backend services, optimizing system performance, and delivering robust AI-powered features across mobile and desktop platforms.
Key Responsibilities
Build, maintain, and operate backend systems that power AI-enabled features in production.
Design and implement AI inference pipelines, orchestration layers, and service architectures around AI models.
Develop scalable, high-performance APIs that integrate seamlessly with frontend applications and machine learning systems.
Optimize system performance by improving inference latency, throughput, caching, batching, and streaming capabilities.
Own production operations, including monitoring, logging, alerting, and incident response.
Troubleshoot and resolve issues within distributed systems to ensure service reliability and stability.
Continuously improve backend architecture and production systems based on operational insights and real-world usage.
Collaborate with cross-functional teams to deliver reliable, scalable, and high-quality AI-powered solutions.
Requirements
Strong backend engineering experience in production environments.
Proven experience building and operating high-throughput, low-latency backend services.
Experience designing scalable APIs and distributed systems.
Familiarity with AI inference patterns, including Large Language Models (LLMs), embeddings, and multimodal AI systems.
Strong debugging and troubleshooting skills within distributed production environments.
Demonstrated ability to deliver production-ready solutions while iterating based on real-world system performance.
Excellent analytical, problem-solving, and collaboration skills.
Technical Skills
Experience with the following technologies is preferred:
Python
Node.js
PyTorch
OpenAI, Anthropic, or open-source Large Language Models (LLMs)
SQL and NoSQL databases
Kubernetes
Docker
Location: Tabuk, Saudi Arabia; Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Yanbu, Saudi Arabia
The Operations Engineer will be responsible for monitoring and controlling the operation of all facility systems and coordinating maintenance-related activities at the Primary Nursery Facility in NEOM. The role will also oversee the delivery of support services, including Janitorial, Horticulture, Pest Control, Waste Management, and Office Services.
The Operations Engineer will ensure the safe, efficient, and reliable operation of electro-mechanical systems, monitor service provider performance, ensure compliance with operational KPIs, resolve customer complaints, and continuously identify opportunities to improve facility performance, energy efficiency, and end-user satisfaction.
Key Responsibilities
Supervise and coordinate the daily operation of all MEP and electro-mechanical systems at the Primary Nursery Facility.
Monitor and control equipment including MCCs, pumps, VFDs, fans, instrumentation, emergency generators, AHUs, chillers, and related systems.
Plan operational activities, establish priorities, and coordinate maintenance and project-related works.
Conduct regular inspections and monitor system performance to ensure facility readiness, reliability, and compliance with operational requirements.
Analyze system performance, operating parameters, alarms, and set points, and implement corrective actions and improvement initiatives.
Respond promptly to emergencies, major faults, equipment failures, and operational interruptions.
Support Root Cause Analysis (RCA), incident investigations, commissioning activities, and the implementation of corrective actions.
Manage and monitor contractors and service providers delivering Janitorial, Horticulture, Pest Control, Waste Management, and Office Services.
Ensure customer satisfaction by resolving complaints, high-priority tickets, and recurring operational issues while monitoring service delivery against KPIs.
Requirements
Bachelor’s degree in Electrical, Mechanical, Electro-Mechanical Engineering, or a related field.
4–6 years of experience in Facility Management, Facility Operations, or a similar role.
Proven experience in the operation and monitoring of MEP and electro-mechanical systems.
Good knowledge of facility systems and equipment, including MCCs, pumps, VFDs, generators, AHUs, chillers, fans, and instrumentation.
Ability to read and interpret technical drawings and understand MEP commissioning procedures.
Experience in contractor management, service provider coordination, and KPI monitoring.
Strong knowledge of troubleshooting, problem-solving, Root Cause Analysis (RCA), and corrective action processes.
Good communication, leadership, coordination, analytical, and customer service skills.
Good command of written and spoken English, with the ability to work effectively under pressure and respond to operational emergencies.
Location: Abqaiq, Saudi Arabia
The Associate Storekeeper / Warehouse Operator is responsible for receiving, storing, issuing, and maintaining inventory while ensuring accurate stock records and efficient warehouse operations. The role supports the smooth movement of materials by following established safety, quality, and inventory control procedures.
Key Responsibilities
Receive, inspect, and verify incoming materials against purchase orders and delivery documents.
Store materials in designated locations following warehouse layout and storage standards.
Pick, pack, and issue materials accurately according to approved requests.
Perform inventory transactions in the ERP/WMS system and maintain accurate stock records.
Conduct routine cycle counts and support periodic physical inventory activities.
Monitor stock levels and report shortages, damages, or discrepancies to the supervisor.
Ensure proper labeling, identification, and traceability of inventory.
Load and unload deliveries using appropriate material handling equipment, where authorized.
Maintain warehouse cleanliness, organization, and compliance with 5S standards.
Follow company safety policies and use appropriate personal protective equipment (PPE).
Qualifications
High school diploma or equivalent; a diploma or certification in logistics, warehousing, or supply chain is an advantage.
0 –4 years of experience in warehouse, stores, or inventory operations.
Experience with ERP or Warehouse Management Systems (WMS) is preferred.
Forklift certification is an advantage (where applicable).
Skills & Competencies
Knowledge of warehouse operations and inventory control.
Basic computer proficiency, including Microsoft Office and ERP systems.
Good organizational and time management skills.
Strong attention to detail and accuracy.
Ability to work in a fast-paced environment.
Good communication and teamwork skills.
Location: Cairo, Egypt; Algiers, Algeria; Lusail, Qatar; Kuwait City, Kuwait; Jamnagar, India; Dubai, United Arab Emirates
The Rig Liaisonman acts as the primary link between the drilling rig site, the Drilling & Technical Department (DTD), Saudi Aramco representatives, and the contractor. The position is responsible for coordinating rig activities, monitoring operational performance, ensuring compliance with approved drilling programs and Saudi Aramco requirements, and facilitating timely communication and resolution of operational issues.
Key Responsibilities
Serve as the main liaison between the rig site, DTD, Saudi Aramco representatives, and drilling contractors.
Coordinate daily drilling and rig-related activities with relevant departments and stakeholders.
Monitor rig operations to ensure compliance with approved drilling programs, procedures, safety standards, and client requirements.
Review and communicate daily drilling reports, operational updates, equipment status, and performance information.
Follow up on rig activities, operational challenges, equipment issues, and required corrective actions.
Coordinate with drilling engineers, rig management, wellsite supervisors, service companies, and other stakeholders.
Escalate operational, technical, safety, and schedule-related issues to the appropriate DTD personnel.
Assist in ensuring that drilling operations remain aligned with the approved program and project schedule.
Track the status of rig moves, rig readiness, equipment availability, maintenance requirements, and operational priorities.
Support coordination of logistics, materials, personnel, services, and other resources required for rig operations.
Participate in meetings, operational reviews, coordination meetings, and incident investigations when required.
Maintain accurate records and provide regular updates to DTD management.
Requirements
Bachelor’s degree or diploma in
Drilling Engineering, Petroleum Engineering, Mechanical Engineering, or a related discipline
; or equivalent relevant experience.
Typically
8–15 years of experience in drilling and rig operations
, preferably in the oil and gas industry.
Previous experience working with
Saudi Aramco operations or Saudi Aramco-approved contractors
is highly preferred.
Strong knowledge of land rig operations, drilling activities, wellsite coordination, and oilfield services.
Experience liaising with drilling contractors, service companies, client representatives, and technical departments.
Familiarity with Saudi Aramco safety, operational, and reporting requirements.
Cairo, Egypt; Algiers, Algeria; Lusail, Qatar; Kuwait City, Kuwait; Jamnagar, India; Dubai, United Arab Emirates
Location: Dhahran, Saudi Arabia
ERAM Talent is seeking a motivated Application Developer
to join our client in
Dhahran, Saudi Arabia
. This is an excellent opportunity for fresh graduates and early-career professionals (0–3 years of experience) who are passionate about software development, secure coding practices, and modern application technologies.
The ideal candidate will have a strong foundation in software development, application security, and database concepts, with the ability to develop, test, and maintain secure, high-quality applications. You will work closely with cross-functional teams to design, develop, integrate, and optimize software solutions while ensuring compliance with Oil & Gas industry best practices.
Key Responsibilities:
Design, develop, test, and maintain secure software applications.
Apply secure coding practices and ensure application and database security in line with Saudi Aramco standards.
Participate in system design, software architecture, application integration, and cloud-based development.
Develop and optimize SQL queries and work with relational databases.
Perform software testing, debugging, and performance optimization.
Collaborate effectively with clients and internal teams to deliver high-quality solutions.
Troubleshoot technical issues and provide innovative software solutions.
Requirements
Bachelor's degree in Computer Science or a related field.
GPA of
3.0/4.0
or
4.0/5.0
.
0–3 years of relevant experience (Fresh graduates are encouraged to apply).
Strong understanding of application security, database security, and secure coding principles.
Knowledge of software architecture, system design, cloud computing, and application integration.
Strong analytical, problem-solving, and communication skills.
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's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage.
You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification.
Key responsibilities
Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally
Own the platform layers that sit beneath every environment, including the agent runtime
Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop
Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues
Drive adoption of new frameworks across the organization, including deprecations and cutovers
Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code
Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built
Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency
A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines
Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes
Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing, dataset lifecycle management, or data lineage systems
Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead
Representative projects
These are examples of the challenges the team tackles:
Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL
Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state
Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work
Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly
Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves
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
—
$605,000 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
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're standing up a dedicated executive support function within IT, and we're hiring the IT Support Engineer who will build it. IT Support is the front door for every employee technology need at Anthropic, and this role creates its most visible lane: white-glove support for our executives, their administrative business partners (ABPs), and our board.
You'll define what that service looks like: the support model for execs, board, and ABPs, the runbooks behind it, the intake and escalation paths, and the trusted relationships with ABPs and exec staff that make it work. You'll set the bar for discretion and polish as you go. You'll also be the person our leadership reaches when technology gets in the way. The requests that land in this lane range from routine to highly sensitive, and many arrive urgent: an executive locked out minutes before a meeting, an AV issue in a room full of leadership, a board member who needs setup handled quietly and correctly the first time. You own the request end to end and pull in specialist functions or IT Engineering pods as needed.
Responsibilities
Stand up the executive support intake channels and run it: monitor, respond, and follow through on every request from executives, ABPs, and board members
Define the white-glove service model for discretion-sensitive asks and deliver to it, holding confidentiality under pressure
Design the board-meeting AV support playbook with the AV pod, and provide AV support for executive rooms and board meetings, from setup and pre-checks through live triage
Create exec-support runbooks and SLAs that keep the service consistent as it grows
Build trusted relationships with ABPs and executive staff, and establish clear intake paths so leadership knows exactly where to go
Handle ABP escalations and exec-urgent issues calmly, and route into specialist lanes or IT Engineering pods when a request needs them
Establish the board member device, account, and access setup process with our Onboarding lane
Work the shared ticket queue with the SF Core team: walk-ups, desk-side help, hardware swaps, it-assist overflow, and AV T1 triage
Participate in the Core on-call rotation and contribute to the knowledge base and runbooks
Maintain a regular on-site presence in San Francisco
You may be a good fit if you have
7+ years of experience in IT support and 3+ years in executive support
Experience standing up a service or program from scratch, such as an executive support desk, a VIP support function, or a white-glove service
Experience supporting executives, their assistants, or a board to a white-glove standard
A track record of handling sensitive requests with discretion, and the judgment to know what stays confidential without being told
Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle
AV fluency for executive rooms and board meetings: you can set up, verify, and fix a room under time pressure
Composure when an urgent escalation lands, and the judgment to know when to pull in help
High polish and low ego: you take pride in service quality and still pick up whatever the team needs, including the ordinary queue work
A security-first mindset and excellent judgment about when user experience yields to security requirements
Comfort with ambiguity: you can make progress before the process exists, and you enjoy shaping how things should work
The instinct to write things down: runbooks, KB articles, and status updates that keep people informed
Nice to have
Experience supporting a C-suite or board of directors at a company with significant security or compliance requirements
AV depth beyond first response, such as broadcast, live events, or room design input
Experience building runbooks, self-service content, or support automation
Experience supporting AI/ML research environments or highly technical user bases
Deadline to apply: None. Applications will be received on a rolling basis.
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:
$180,000
—
$265,000 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: Montreal, Canada
Role Overview:
As a Senior PCB Design Engineer, you will take on a leadership position within our hardware design group. Your key duties will revolve around crafting, executing, and validating mixed-signal (Digital & RF) Printed Circuit Boards (PCBs) customized for application in satellite and other orbital systems. These applications encompass a diverse spectrum, encompassing digital control/processing, motor drive units, onboard processors, and mass-storage units, all of which utilize cutting-edge space technologies.
Key Responsibilities:
Lead the digital/analog PCB design for space environments.
Mentor and oversee junior team members and interns in PCB design.
Translate board-level requirements into a comprehensive design concept (incorporating architecture, I/Os, key components, power dissipation estimates, FPGA integration, software integration, etc.).
Collaborate closely with FPGA, software, and test designers to finalize functional concepts and streamline integration.
Complete or review the schematic capture level design.
Identify and manage technology and design risks.
Provide guidance to ensure Design for Manufacture/Test in space environments.
Supervise and review design layout constraints, parts placement, manufacturing, and assembly drawings.
Prepare or review lists of long lead items, bills of materials, and ensure parts qualifications for space.
Conduct and review circuit simulations (using tools like SPICE, Hyperlynx, ADS, etc.) and various design analyses (e.g., worst-case scenarios, FMECA).
Coordinate with various specialized teams (structural, thermal, packaging, manufacturing, quality assurance, etc.) to conduct necessary reviews for PCB component placement and layout.
Oversee board assembly and manufacturing tests.
Prepare and review various documents, including review presentations, test plans, test procedures, etc.
Lead and guide junior team members in testing, troubleshooting, and debugging complex mixed-signal boards.
Provide support for environmental and functional tests and validation for space missions.
Report progress and address issues to the program lead or manager.
Required Qualifications:
Bachelor’s degree in electrical engineering, computer engineering, or equivalent field.
Minimum of seven (7) years of experience in designing processor, digital, analog, high-speed, or mixed-signal PCBs.
Demonstrated expertise in at least one of these areas of competence.
Proficiency in coaching and supervising junior team members and interns.
Experience in design architecture and handling multidisciplinary specifications and reviews (FPGA, software, mechanical, etc.).
Proficiency in tools/software languages such as Excel spreadsheets, Python, MathCAD, Spice, Matlab, JIRA, etc.
Strong understanding of electronic circuits and communication protocols, coupled with extensive PCB design experience.
Knowledge of PCB manufacturing processes.
Exposure to mechanical packaging is a valuable asset.
Experience conducting analyses (FMECA, WCA, signal integrity, power integrity, etc.) using various tools like SPICE, ADS SiPro, Hyperlynx, etc.
Location: New York, NY, United States
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Platform Storage is a core platform engineering team specializing in stateful infrastructure (PostgreSQL/RDS, Kafka (MSK), MongoDB, DynamoDB, and Elasticache/Valkey) for Fanatics Betting & Gaming. We own database and streaming reliability for dozens of product engineering teams, acting as both platform builders and embedded technical partners. Our core toolset is Python, Terraform, and SQL, with a focus on self-service tooling, GitOps managed infrastructure, and hands-on ownership of production systems.
About the Role
Fanatics Betting & Gaming (FBG) is seeking a Staff Platform Storage Engineer to join our Platform Storage team, based in the United States. This role owns a critical slice of our core platform infrastructure, including a portfolio of production PostgreSQL databases and our Kafka/MSK streaming platform, and acts as the embedded platform liaison for the product teams built on top of them.
As a Staff Engineer, you will operate with a high degree of autonomy, leading complex database and streaming infrastructure initiatives, setting standards for reliability and performance, and acting as the go to technical resource for schema design, query performance, and incident response across the teams you support.
Responsibilities
Own database liaison responsibility for a portfolio of production PostgreSQL/RDS instances — query review, schema change approval, performance tuning, and incident triage for the teams built on top of them.
Operate and evolve our Kafka/MSK streaming platform: topic lifecycle management via GitOps, cluster health across environments, and CDC (Debezium) pipeline reliability.
Build and maintain self-service tooling that lets product teams provision database and streaming resources without a manual ticket queue.
Drive platform stability projects — operator/version upgrades, root-cause fixes for recurring operational issues, and proactive capacity/cost optimization across the database and streaming fleet.
Act as the technical escalation point for cross-team incidents where the root cause traces back to shared platform infrastructure (replication lag, connection exhaustion, CPU/throughput issues).
Represent Platform Storage in cross-org infrastructure initiatives and standardization efforts.
Mentor engineers and participate in on-call rotations.
What You Bring
Strong, hands-on Python — a primary tool of the role, not incidental. 5+ years using Python day-to-day is a strong signal.
8+ years of experience in platform, infrastructure, or database engineering, with deep hands-on experience operating and running PostgreSQL (RDS) in production at scale — this is an infrastructure-ownership role, not an application-development role that happens to use Postgres.
Strong experience operating Kafka (MSK or self-managed) in production, including topic management and CDC/event-streaming pipelines.
Strong SQL fluency — comfortable diagnosing query performance issues and reviewing schema changes for teams you don't sit inside of.
Working knowledge of Infrastructure as Code (Terraform).
Experience owning production database reliability across multiple downstream teams simultaneously — able to prioritize across a portfolio, not just one system.
Strong cross-team communicator; this role is equal parts infrastructure engineering and technical partnership with the teams you support.
Nice to Have
Experience with GitOps-managed Kubernetes operators (Strimzi or equivalent) for stream infrastructure.
MongoDB or DynamoDB operational experience.
Experience with pgbouncer, connection pooling, and query-level performance diagnostics.
Prior work on platform cost optimization initiatives at multi-cluster scale.
Exposure to regulated or high-availability environments (gaming, fintech, or similar).
Who Thrives Here
Operates with a high degree of autonomy and ownership, leading complex initiatives with limited direction.
Comfortable influencing without authority and driving technical clarity in ambiguous problem spaces.
Communicates effectively across regions and time zones (US, UK, Ireland).
Cares about platform reliability, developer experience, and long-term system health.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-VG1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$172,800
—
$216,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Los Angeles, USA; Mercer Island, USA
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As an Engineering Manager, you’ll guide an engineering team through all the phases of the software development and operations lifecycle. You’ll also serve as a people manager, mentor, and coach for the engineers, overseeing performance management, growth opportunities, and accountability.
The Core Game Loop owns services that power the player experience while they are in game and deliver data to downstream services after a game is completed. This includes game provisioning, game data delivery, and services that power leaderboards and match history. By concentrating expertise in game platforms, we are able to offer robust, scalable features to all current and future Riot games. As a
Manager, Software Engineering
on the Core Game Loop team, you will partner with the teams that create every Riot game, central technology teams, and teams in Tencent to ensure we are making excellent decisions, upholding a high quality bar, and operating efficiently in service of those players. You'll identify opportunities to centralize functionality and architect solutions that enable scalability and reliability worldwide. You will report to the Senior Engineering Manager of the Game Foundations org within the Publishing Platform.
Responsibilities
Manage a team of 5+ software engineers; coaching them, providing performance management, identifying growth opportunities, and ensuring positive results
Partner and collaborate with Product Leads, Delivery Leads, and Technical Leads within the team and within Game Foundations org to align on the plan the team executes against
Support the technical vision and roadmap by allocating engineers and skill sets to meet goals and deliver results
Own the interviewing and onboarding process for new engineering team members
Be accountable for the technical health of the products owned by the team
Stay hands-on with the team's tech, overseeing the technical design, and deliverables of the team and working with the team's technical leadership
Regularly engage with the codebase by participating in code reviews and non-critical tasks
Build healthy relationships with other engineering teams across Riot globally, in order to foster cross-team collaboration
Own and operate live services, meeting reliability expectations, handling emergent issues, and supporting engineers during on-call troubleshooting
Required Qualifications
Bachelor's or Master’s degree in Computer Science or a related field, or equivalent professional experience
5+ years experience as a Software Engineer, preferably on technical product teams that build tooling for services and APIs
2+ years experience directly leading an engineering team either as an Engineering Manager or Technical Lead
Experience managing engineers and actively participating in their growth and development
Experience recruiting candidates and growing an engineering team
Experience with distributed systems, microservices, and software at a high scale
Experience operating and maintaining live services, including handling emergent issues and on-call troubleshooting
Desired Qualifications
Experience building services using Java, Kotlin, or Go
Experience developing using cloud infrastructure (such as AWS, GCP), using containers and orchestration (such as Docker, Kubernetes), managed using infrastructure as code (such as Terraform, Ansible)
Experience with CI/CD pipelines (such as GitHub Actions, Jenkins)
Experience with relational databases (such as MySQL) and key value stores (such as Redis).
Experience with queuing or stream-processing platform (such as Kafka)
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Remote: United States; San Francisco HQ; Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes.
We are scaling rapidly. Our customers have created hundreds of thousands of services on our platform, and the numbers continue to accelerate. Our customers trust us to deliver a secure, reliable and performant cloud — this is our top priority as a company.
By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe.
Render builds and operates our own networking stack end-to-end. We leverage open source and industry-standard technologies, modifying and extending the core components to meet the unique reliability, performance, and scaling demands of our platform.
We are looking for engineers with deep specialization in network infrastructure, particularly with experience in edge/ingress networking and Kubernetes networking internals.
Areas of focus include scaling and evolving our traffic routing and load balancing systems; advancing Kubernetes and Linux networking components to support large-scale, zero-downtime operation; and exploring networking for Render’s next-generation compute platforms.
WHAT YOU'LL DO
- Own Render's core network infrastructure across multiple data centers and cloud providers. Shape how networking evolves as Render rapidly scales.
- Design and build customer-facing networking capabilities that give users greater flexibility in how their services connect, communicate, and how traffic is routed.
- Investigate complex networking issues across the stack, from the kernel and data plane to distributed systems and edge networking.
- Drive performance and reliability improvements through systematic profiling and tuning.
- Partner with engineers across the company to build a platform that is stable, predictable, and secure.
- Participate in our on-call rotation. Help continuously improve how we detect, respond to, and learn from incidents.
WHAT WE'RE LOOKING FOR
- At least 6 years of experience building and operating large-scale networking or infrastructure systems.
- Experience with Kubernetes networking internals (e.g. kube-proxy, CNI plugins, service routing) or similar container networking technology.
- Experience with Linux networking internals (e.g. routing, netfilter/iptables/nftables, conntrack) in production environments.
- Experience building and operating traffic routing systems (e.g. load balancers, ingress, proxies) at scale.
- Strong experience designing, debugging, and operating distributed systems.
- Experience planning and executing high-risk changes with minimal downtime.
NICE-TO-HAVES
- Experience with eBPF or advanced Linux kernel networking.
- Experience developing systems in Go or similar languages that interact with low-level OS and networking primitives.
RELEVANT LINKS FROM THE RENDER ENGINEERING TEAM
- The Namespaces Scaling Trap https://www.youtube.com/watch?v=NCKhoYsNsmE (video podcast interview) and related article How We Found 7 TiB of Memory Just Sitting Around https://render.com/blog/how-we-found-7-tib-of-memory-just-sitting-around
- SEV0 SF 2025 | Boundary Cases: Technical and social challenges in cross-system debugging https://www.youtube.com/watch?v=d4hAyzmBNXk
- Distributing Global State to Serve over 1 Billion Daily Requests https://render.com/blog/distributing-global-state-to-serve-over-1-billion-daily-requests
- Breaking down OpenAI's outage: How to avoid a hidden DNS dependency in Kubernetes https://render.com/blog/a-hidden-dns-dependency-in-kubernetes
- Kubernetes Informers are so easy... to misuse! https://render.com/blog/kubernetes-informers
If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.
BENEFITS
- 4 weeks of paid vacation.
- 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.
- Long-term disability, life insurance, and 401K plans.
- 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.
- Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.
- Monthly cell phone and internet subsidy.
- Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.
- Continuous learning benefits & related support.
This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.
Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
We encourage all who are interested to apply. We can't wait to hear from you!
Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view
Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view
ГибридseniorWarsaw
Taiwan
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