Location: South Africa; Philippines; Mexico; Colombia; Argentina; Pakistan
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are searching for an AI & Automation Specialist to design, build, and scale intelligent systems that power both internal operations and client success. This role sits at the intersection of automation engineering, product systems, and client-facing communication.
You’ll work closely with founders and stakeholders to architect high-impact automation workflows, integrate tools across tech stacks, and translate complex systems into clear, actionable solutions. This is a high-ownership role for someone who thrives in fast-paced environments and enjoys building scalable AI-driven infrastructure.
Key Responsibilities
Product & Automation Systems
Design, build, and optimize automation workflows using tools like GoHighLevel, n8n, Make, or Zapier
Audit and improve existing systems to ensure scalability, reliability, and performance
Integrate platforms via APIs, webhooks, and automation tools
Develop and maintain CRM systems, pipelines, and multi-step workflows
Client Solutions & Implementation
Architect end-to-end AI and automation systems for client businesses
Build workflows for lead generation, nurturing, content creation, and sales processes
Connect CRMs, email platforms, calendars, payment systems, and project management tools
Troubleshoot, maintain, and optimize deployed solutions
Documentation & Communication
Create clear SOPs, user guides, and technical documentation
Translate technical concepts into simple explanations for non-technical stakeholders
Provide technical support to clients, team members, and prospects
Contribute to technical content (documentation, scripts, or training materials)
Internal Infrastructure
Build scalable automation systems for onboarding, operations, and data management
Own and maintain the company’s technical backbone
Ensure all systems are robust, efficient, and scalable
Requirements
Technical Expertise
3+ years of experience building automation workflows and CRM systems in real business environments
Expert-level proficiency in GoHighLevel (GHL)
Strong experience with automation tools such as n8n, Make, or Zapier
Solid understanding of APIs, webhooks, and systems integration
Experience connecting CRMs with email, payments, calendars, and other tools
Familiarity with data management tools like Airtable or Google Sheets
Experience implementing AI workflows into business processes
Communication & Client Skills
Strong technical documentation skills (SOPs, guides, specs)
Fluent English (written and verbal)
Experience working directly with clients or stakeholders
Soft Skills
Highly self-directed with strong problem-solving ability
Comfortable working in fast-moving, ambiguous environments
Strong product thinking (scalability, UX, maintainability)
Bonus Qualifications
Experience in agency or consulting environments
Technical content creation (articles, videos, documentation)
Familiarity with AI-assisted development workflows
Personal brand or interest in AI/automation space
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: New York, NY
Workplace: OnSite
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the Team
You'll be the lead iOS engineer at Rain, owning mobile alongside the lead Android developer from the ground up. Our partners use Rain's issuance platform and APIs to power card programs, wallets, and payment experiences for their end users, and you'll be the person who brings those experiences to life on iOS. You'll work directly with product, design, and our platform engineering team to define what great mobile looks like for Rain's clients and their customers.
What you’ll do
- Own the entire iOS development lifecycle, from architecture and implementation to App Store delivery
- Build polished, production-grade mobile apps that leverage Rain's issuance platform and APIs for clients and their end users
- Collaborate closely with product, design, and backend engineers to define the mobile roadmap and translate platform capabilities into intuitive native experiences
- Architect a clean, scalable codebase that can serve as the foundation as the mobile team grows
- Integrate with Rain's APIs for card issuance, transaction management, balance queries, and other payment flows
- Implement secure authentication, tokenization, and data handling appropriate for a financial services context
- Drive decisions on tooling, frameworks, CI/CD, and testing strategy for mobile
- Contribute to the broader engineering culture as an early team member with outsized influence on how we build
You are likely to succeed if you have:
- 4–10 years of professional mobile development experience, with multiple apps shipped to the App Store
- Proficiency in Swift and deep familiarity with Apple's frameworks (UIKit, SwiftUI, Combine, Core Data, etc.)
- Experience architecting iOS apps from scratch. You've made foundational decisions on project structure, navigation patterns, state management, and dependency injection
- Solid understanding of networking layers, RESTful API integration, and secure data handling
- A disciplined approach to code quality: you write testable code, value code review, and care about maintainability
- Comfort working autonomously with minimal direction — you'll be the mobile expert in the room
- Strong product sensibility: you think beyond tickets and advocate for great user experiences
- Excellent communication skills; you can translate technical tradeoffs for non-technical stakeholders
Bonus attributes:
- Experience in fintech, payments, or crypto/web3
- Familiarity with card issuance, wallet UX, or financial transaction flows
- Experience with WKWebView-based hybrid architectures or embedded SDK patterns
- Background in building white-label or multi-tenant mobile experiences
- Exposure to CI/CD tooling for iOS (Fastlane, Xcode Cloud, Bitrise, etc.)
- Experience being the first or early mobile hire at a startup
Things that enable a fulfilling, healthy and happy experience at Rain:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
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
New York, NY
Washington, DC
San Francisco, CA
About the Role
Cloudflare’s architecture is built on a homogeneous edge: every server in over 330 cities runs every service—from L4/L7 proxies (FL2, Pingora) and DNS to the Workers runtime, cache, and storage. While this design maximizes hardware utilization, it creates a difficult distributed attribution problem. Machine-level telemetry tells us how loaded a server is, but not which product, customer, or upstream service is responsible for that load.
MAPS (Metrics and Analytics for Product Segmentation) is a newly formed team building the core instrumentation, collection, and data platform to solve this from the ground up. We are architecting a system to continuously measure CPU, network bandwidth, memory, and storage utilization across the entire global fleet without sampling—attributing resource consumption both to the underlying system service and to the specific product, account, and zone being served.
The data MAPS produces serves two critical functions at Cloudflare:
Real-Time Control Plane: MAPS is the primary telemetry input for Cloudflare’s next-generation global load balancer, shifting traffic management from open-loop heuristics to closed-loop routing driven by real-time, per-service resource capacity and consumption (within seconds).
Fleet Economics & Capacity Planning: MAPS provides the long-term analytical dataset in ClickHouse used to map product demand forecasts to physical hardware requirements, calculate true cost-to-serve per product, and drive multi-year infrastructure investments.
What You’ll Do
You will work across the full lifecycle of a greenfield, high-throughput telemetry system running on every machine at the Cloudflare edge:
Host-Level Instrumentation ("Outside View"): Build and maintain low-overhead Linux daemons (netacctd, maps_collector) in Rust and C that use eBPF (cgroup_skb) and cgroup v2 accounting to measure per-service resource consumption directly from the kernel.
High-Performance Client Libraries ("Inside View"): Architect non-blocking, zero-allocation reporting SDKs in Rust and Go used by Cloudflare’s highest-throughput data-plane services to report per-request resource usage and product attribution over local Unix domain sockets.
Edge Aggregation & Streaming: Build the per-machine collector daemon that ingests millions of events per second, performs bounded in-memory time-window aggregation, serves low-latency gRPC streams to the global load balancer, and flushes batch rollups to ClickHouse.
Reconciliation & Correctness: Solve complex attribution problems—such as reconciling kernel-level cgroup measurements against application-reported metrics, and attributing resource usage when one multi-tenant service executes work on behalf of another.
Cross-Team Architecture: Partner directly with the engineering teams behind Cloudflare’s core proxies, runtimes, and storage engines to instrument their critical paths without degrading tail latency.
What We’re Looking For
Strong systems programming experience in Rust, Go, or C, with a solid grasp of memory layout, concurrency, and performance-critical code paths.
Experience designing and operating latency- and resource-sensitive server infrastructure or high-throughput data pipelines at scale.
Strong fundamentals in Linux systems internals—processes, cgroups, sockets, and how the kernel accounts for compute, memory, and I/O.
Proven ability to work across organizational boundaries: reading unfamiliar codebases, aligning with other infrastructure teams, and driving complex integrations to completion.
A pragmatic approach to owning outcomes—from kernel-level data collection and wire protocols (protobuf/Cap'n Proto) all the way to the analytical tables consumers query.
Bonus Points
Hands-on experience writing and verifying eBPF programs, or deep familiarity with the Linux networking stack and scheduler.
Experience designing schemas and query patterns for distributed columnar databases (particularly ClickHouse) at high ingestion rates.
Background in profiling, benchmarking, and debugging performance bottlenecks in production Linux environments (perf, PMU counters, flamegraphs).
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: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE
Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption.
You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations.
WHAT YOU'LL DO
- Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires.
- Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures.
- Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems.
- Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data.
- Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across regions and configurations.
- Debug and harden systems: Dive deep into complex infrastructure problems spanning networking, authorization, Kubernetes, and cloud services to make our enterprise platform more robust and diagnosable.
- Partner with go-to-market teams: Collaborate with Sales and Customer Success to understand enterprise infrastructure requirements, scope technical solutions, and unblock deployments.
- Contribute to technical strategy: Help define SLAs/SLOs for enterprise infrastructure reliability; participate in build-vs-buy decisions for complex infrastructure capabilities.
REQUIRED SKILLS AND EXPERIENCE
- 7+ years of experience in Infrastructure Engineering, Platform Engineering, or similar roles.
- Strong programming skills in Go, Typescript or Python; you write high-quality, well-tested code.
- Experience with Kubernetes and cloud-native technologies in production environments.
- Solid understanding of cloud networking: VPCs, peering, private connectivity, load balancers, DNS.
- Experience with infrastructure as code (Terraform) and configuration management.
- Familiarity with authentication and authorization systems: OAuth/OIDC, RBAC/ABAC models, policy enforcement.
- Familiarity with security and encryption fundamentals: TLS, encryption at rest, key management concepts.
- Strong debugging skills with an ability to trace issues across distributed systems.
- Excellent written communication; you can explain technical tradeoffs clearly to both engineers and non-technical stakeholders.
NICE TO HAVE
- Experience with Google Cloud Platform (GCP) services, networking, and IAM.
- Experience building multi-tenant or single-tenant SaaS infrastructure.
- Familiarity with enterprise compliance frameworks (SOC 2, FedRAMP, HIPAA) and how they translate to infrastructure requirements.
- Experience with customer-managed encryption keys (CMEK/BYOK) implementations.
- Background in developer platforms, cloud IDEs, or developer productivity products.
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
About the Role
We are looking for a strong Engineering Manager to lead a high-impact team within PlayStation’s Client Developer Experience (DevEx) team.
This role sits at the center of how developers build, test, and ship software across client and system software teams. You will lead the development of modern developer platforms and tools, including documentation systems, intelligent search, performance tooling, and AI powered experiences.
This role requires a balanced leader, someone who can grow and manage a high-performing team, while also maintaining strong technical depth to guide architecture, review designs, and support engineers at a code level when needed.
You will operate across frontend-heavy developer experiences (JS, React, React Native) as well as backend/platform systems, shaping solutions that are both technically sound and highly usable for developers.
What You’ll Do
Lead, grow, and mentor a team of engineers, building a high-performing, ownership driven culture
Drive delivery of developer platforms and tools used across PlayStation
Provide technical leadership at both code and system design levels, especially for frontend and developer-facing systems
Guide the design and evolution of complex, scalable systems across frontend, backend, and platform layers
Partner with AI/ML, QE, System Software, and Product teams to align on priorities and execution
Influence cross-team technical decisions and ensure strong alignment across partner organizations
Balance short-term delivery with long-term platform strategy
Ensure high-quality developer experiences by focusing on usability, performance, and reliability
Identify gaps, remove blockers, and drive clarity in ambiguous problem spaces
What We’re Looking For
7–10 years of overall software engineering experience with 3–5+ years of experience managing engineering teams.
Strong technical background with hands-on understanding of frontend systems (JavaScript, React, React Native) and solid backend/platform fundamentals
Ability to operate at code-level depth when needed (design reviews, debugging, guiding engineers)
Proven experience designing and delivering complex, distributed systems
Track record of building and scaling high-performing engineering teams
Experience working on developer tools, internal platforms, or productivity systems
Strong ability to influence and align stakeholders across teams
Excellent communication skills across both technical and non-technical audiences
Ability to operate effectively in fast-moving, ambiguous environments
Bachelors degree or equivalent
Nice to Have
Experience with Python or backend services supporting developer platforms
Experience with AI/ML-driven workflows or developer tooling
Background in performance profiling and or developer ecosystems
Experience in large-scale, multi-team environments
You will operate in a role that requires leadership, technical depth, and cross-org influence
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including color, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, birthing parent or parental status, trade union membership or membership in any other legally protected category.
We strive to build an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
#LI-AT1
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$201,400
—
$302,000 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Porto, Portugal
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
TeamViewer's Frontline solution empowers frontline workers through workflow-based, real-time assistance on smart glasses, mobile phones, and tablets. Our platform connects the physical and digital worlds, combining 2D and 3D authoring tools to transform how industrial teams collaborate.
We are looking for an experienced and committed (Senior) Full Stack Software Engineer with strong expertise across
React
and
Java Spring Boot
to help us develop the next generation of the Frontline platform. You will work across the full stack, delivering features end-to-end from UI to backend services.
Design, implement, and maintain frontend applications using
TypeScript
and
React
.
Design, implement, and maintain backend services and APIs using
Java
and
Spring Boot
.
Participate in architecture and application design to ensure reliability, scalability, and maintainability across the full stack.
Write clean, testable, and maintainable code using modern engineering and CI/CD practices.
Engage in peer reviews, pair programming, and technical discussions to continuously raise code quality and alignment.
Take ownership of your domain and deliver results with accountability and curiosity.
Explore and evaluate emerging technologies that can enhance the platform's capabilities.
Requirements
University or college degree in Computer Science, Software Engineering, or a related field.
7+ years of professional experience in full-stack software development, or proven senior-level expertise in designing and delivering complex software systems.
Strong expertise in
TypeScript
and
React
for frontend development.
Strong expertise in
Java
and
Spring Boot
for backend development, including frameworks such as Spring Data and Spring Security.
Solid understanding of
RESTful APIs
,
microservices
, and distributed system design.
Experience with relational databases (e.g., PostgreSQL, MySQL) and ORM frameworks (e.g., Hibernate).
Experience with
CI/CD pipelines
,
Docker
, and container orchestration (e.g., Kubernetes).
Understanding of security and authentication standards (JWT, OAuth2, OpenAPI).
Fluency in English; other languages are a plus.
Nice to have
Experience working with message queue systems (e.g., NATS, Kafka, RabbitMQ).
Experience with public API design and developer-facing integrations.
Experience with
micro-frontend architectures
(e.g., Module Federation, single-spa).
Familiarity with
state management
libraries and patterns (e.g., Redux, Zustand, React Query).
Experience with component libraries and modern frontend tooling.
Familiarity with monitoring and observability tooling (e.g., Prometheus, Grafana, ELK).
What we offer
Onsite Onboarding
in our HQ office for an optimal start
The opportunity to work on a platform used by frontline workers across industries worldwide
A collaborative, engineering-driven culture that values ownership, quality, and continuous learning
Room to grow technically and professionally within a global technology company
Great compensation and benefits packages
including company achievement bonus
Public transport friendly
offices
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, and frequent all Hands
Hybrid
and
Flexible
work time
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
We are looking for an engineer with strong experience in machine learning and solid foundations in math and computer science to join our growing Post-Training team at Baseten.
THE ROLE
Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs.
Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often it involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels.
The Manifesto: https://labs.baseten.co/manifesto
RECENT RESEARCH
- Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/
- Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/
- Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/
We don’t have a rigid set of skills, but here’s some of what we’re looking for:
- A deep understanding of modern ML techniques and tools for training transformers
- Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar
- A detailed understanding of transformer training parallelism strategies like data parallelism, sharded data parallelism, tensor parallelism, pipeline parallelism, context parallelism
- The experience and knowledge to profile and improve the performance of a distributed GPU program in PyTorch or a similar library
- The ability to perform roofline analysis on a transformer training setup
- A willingness to dive into messy problems, work with researchers, derive specifications by asking important questions, and execute
- Familiarity with HPC and distributed computing platforms like Slurm, Ray, Kubernetes, and Dask
- Familiarity with cluster networking technology like Infiniband, RoCE, GPUDirect
- Solid fundamentals in operating systems concepts like processes, files, kernel drivers, containerization, and networking protocols
- A sense of creativity and willingness to ask difficult questions about our approach, assumptions, and tooling choices
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: United States
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:
We are looking for a Senior Network Engineer to design, build, and operate large-scale, high-performance data center networks supporting GPU-dense AI workloads. You will take end-to-end ownership of service provider–grade and CLOS-based network infrastructure, ensuring reliability, scalability, and predictable performance across distributed environments. This role requires deep expertise in routing, switching, and modern data center fabrics, with a strong focus on production operations, root cause analysis, and continuous improvement of network systems.
Your responsibilities will include:
Design and evolve scalable data center network architectures (CLOS/leaf-spine) for high-throughput, low-latency environments
Own end-to-end deployment and lifecycle management of routing and switching infrastructure across production environments
Develop and maintain network design documentation, standards, and operational procedures
Plan, execute, and validate network infrastructure testing, including vendor evaluation and benchmarking
Diagnose and resolve complex network issues across the TCP/IPv4/v6 stack in large-scale distributed environments
Optimize traffic engineering, ECMP, and load balancing strategies to ensure efficient utilization of network resources
Implement and operate MPLS-based technologies, including L3 VPNs and segment routing (SR-MPLS, SRv6)
Collaborate with hardware, systems, and software teams to integrate networking with compute and storage infrastructure
Automate network operations and workflows to improve reliability, scalability, and operational efficiency
Ensure high availability and performance of production networks through proactive monitoring and continuous improvement
What we expect you to have:
Expert-level knowledge (CCIE/JNCIE or equivalent) in MPLS, routing, and switching for service provider and data center networks
Strong experience with Ethernet switching, VXLAN, and modern cloud overlay networking technologies
Deep expertise in routing protocols including BGP and IS-IS
Hands-on experience with segment routing (SR-MPLS, SRv6), L3 MPLS VPNs, and ECMP-based traffic balancing
Proven experience designing and documenting large-scale network architectures
Experience developing and executing network testing strategies and validating vendor solutions
Strong troubleshooting skills across the TCP/IPv4/v6 stack in CLOS-based data center environments
Solid understanding of network hardware architecture, QoS mechanisms, and packet processing pipelines
Hands-on experience with network equipment from vendors such as Juniper, Arista, Huawei, and Mellanox
Working proficiency in English
It will be an added bonus if you have:
Working proficiency in an additional European language
Experience with public cloud networking and GPU/InfiniBand environments
Knowledge of software-defined networking (SDN) overlays in cloud environments
Proficiency in Python, Go, or other programming languages in Linux environments
Experience using programming languages for network automation and tooling
Working conditions:
Remote work within the United States
Work closely with globally distributed infrastructure and engineering teams
Participation in on-call rotations to support production environments
Key employee benefits:
Comprehensive health insurance
401(k) plan with company contribution
Paid time off and public holidays
Flexible working hours
Professional development and certification support
Compensation:
$125,000 – $180,000 USD per year, depending on experience and qualifications
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: Berlin, Germany; Helsinki, Finland; Stockholm, Sweden; Tallinn, Estonia
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the Role
We’re building a new Feature Engineering Platform that will be the front door to ML development at global scale. As a Software Engineer on this team, you’ll help build a seamless experience for ML practitioners across the company — from experimentation and exploration to deployment and monitoring.
Our mission is to make machine learning accessible and intuitive without compromising on power or performance. You’ll work on a layered platform that supports both high-level declarative workflows and lower-level imperative APIs, all integrated into the environments our users already work in (like notebooks and internal sandboxes).
What You’ll Do
Build and evolve APIs, SDKs, and platform integrations that power feature engineering workflows.
Help shape user-facing tools to make the platform approachable for all skill levels.
Collaborate across the ML lifecycle — from data ingestion to feature serving — and integrate tightly with our central Data Control Plane.
Contribute to platform reliability, testing, observability, and operational excellence.
Qualifications
Solid engineering background, ideally in platform, data, or ML-adjacent teams.
Comfortable working with backend systems, APIs, and ideally some exposure to distributed compute (e.g. Spark, Flink).
Empathy for users and interest in building abstractions that remove friction.
Curious and collaborative mindset — eager to learn from others and contribute broadly.
Experience with ML tooling, or data pipelines is a plus.
The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.
This position would be eligible for consideration for an equity award grant of restricted stock units on commence and during the annual pay review cycle. Upon commencement of employment, you would be eligible to be considered for a grant. Thereafter, any further grants would be at the Company's discretion.
Pay Range:
€7.102
—
€8.878 EUR
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Brazil
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
*This is a remote role and can be performed anywhere in Brazil/Colombia*
The Role
We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for a frontier AI lab client. You will work directly with the client's researchers and engineers, turning inbound requests and post-training goals into concrete technical proposals and data/environment specifications, and then owning the technical execution: building the quality and verification systems that ensure what we deliver meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift.
Most of this work is bespoke and custom, built for one client's evolving needs.You'll typically stay attached to a single frontier lab client so you can build real context and a working relationship with their team, with flexibility to support other accounts when needed. Because bespoke work is judged on both turnaround time and quality, both matter equally here.
This role is designed for candidates with experience
building
and
improving
deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation. You'll operate in one or more of the following capability areas:
Coding and software engineering agents (repositories, unit tests, debugging, tool use, code reviews, long-horizon workflows)
RL environments and verifier-based training (tasks, rewards/verifiers, trajectories, evaluation harnesses)
Multimodal data and reasoning (text + images + documents + tables/charts; optional audio/video)
STEM reasoning (math, physics, chemistry, bio, engineering – solution verification and error analysis)
Modern embodied AI / VLM-driven agents (vision-language(-action) models, embodied task suites, tool/sensor/action abstractions, long-horizon interaction data)
What You'll Do
1) Own data and environment quality from an AI researcher perspective
Respond to inbound requests from the client and translate ambiguous, evolving research goals into a technical proposal and clear data requirements: target skills, failure modes, difficulty calibration, coverage, and success metrics.
Provide the technical feasibility assessment, assumptions, acceptance criteria, and evaluation requirements needed to scope the contract or statement of work.
Define what “good” looks like by creating detailed rubrics, counterexamples, and boundary cases (what to include vs. exclude).
Perform deep, detail-oriented audits of produced data: spot subtle errors, reward hacking opportunities, leakage, ambiguity, inconsistent assumptions, and distribution shifts.
Drive iterative improvements using evidence: group failures (for example, by semantic similarity) to find the underlying gap, then turn that into concrete instructions for the production team — better few-shot examples, explicit counterexamples, clearer guidance on what's causing rejections.
2) Design and build datasets and RL environments for your capability area(s)
Contribute to or lead the design of:
Task suites (single-step and long-horizon workflows)
Ground-truth signals (verifiers, unit tests, structured checks, reward functions, automatic validators)
Environment interfaces (APIs, tool schemas, state abstractions, database schemas, simulator-like dynamics)
Depending on your mapped capability area(s), you may focus on:
Coding / SWE agents: data reflecting real development work (codebase navigation, bug localization, patching, tests, code reviews, CI-like constraints, refactors, security fixes).
Multimodality: tasks that test true multimodal reasoning (chart reading, document QA, UI understanding, diagram-based STEM reasoning, OCR-aware tasks).
STEM: tasks with verifiable solutions (symbolic checks, reference solvers, numerical validation, step consistency, unit sanity).
Modern embodied AI / VLM-driven agents: interaction data and environments for vision-language(-action) models.
3) Build robust validation, denoising, and synthetic data systems
Build project-specific verification systems that combine deterministic checks, model-based evaluators calibrated against gold sets, and targeted human review.
Implement automated validation and filtering to achieve frontier-grade signal-to-noise: deduplication, decontamination, leakage checks, consistency checks, difficulty and diversity controls.
Develop synthetic data generation and augmentation pipelines where appropriate: programmatic task generators, controlled perturbations, scenario templating, simulator-/tool-driven rollouts.
Create documentation and data cards: dataset intent, known limitations, recommended use, and evaluation linkage.
4) Use evaluations and training runs to prove impact
Design and run evals that reflect the client's intended usage.
Produce analysis that connects data to outcomes: pre/post comparisons, error breakdowns, ablations that identify which data attributes drive lift.
When needed, run in-house fine-tuning or RL-style experiments (or partner with research) to demonstrate that the data/environment improves model behavior in measurable ways.
5) Collaborate effectively with large production teams without being ops-heavy
Give technical direction to the distributed expert network producing the data, by providing clear specs, examples, edge cases, and fast feedback loops based on audits and quantitative signals.
You own technical translation, acceptance criteria, evaluator and verifier design, quality diagnosis, and the technical release recommendation. The Strategic Project Lead owns production execution, staffing, throughput, project cost, and recovery.
You are expected to be highly engaged in reviewing and improving outputs from large annotation/creation efforts, but not primarily responsible for hiring, staffing, or people operations — that sits with the SPL.
Communicate directly with the client on technical findings, quality risks, and recovery options. Align changes to scope, schedule, or external commitments with the account and delivery owners.
Who We're Looking For
4–5 years of experience building or improving deep learning systems where data quality mattered materially (training, post-training, evals, or agentic systems).
Strong intuition for the “data ingredients” that drive model improvements: what to collect, what to filter, what to synthesize, and how to measure.
Ability to communicate clearly with researchers and engineers: turning research objectives into concrete specs, and turning messy outputs into actionable insights.
Comfortable being the direct technical point of contact for a client, including explaining setbacks or trade-offs when things don't go as planned.
Demonstrated ability to be extremely detail-oriented in diagnosing subtle data quality issues and failure modes.
Solid programming ability with a bias for shipping: Python proficiency required; comfort with SQL/structured data workflows strongly preferred; for coding-focused work, proficiency in a major language (e.g., C++, Java, Go, Rust, JS/TS) is a plus.
Comfort designing quality systems: rubrics, validation scripts, gold sets, sampling strategies, statistical checks, slice-based evaluation, human-in-the-loop review loops grounded in measurable criteria.
Direct experience with a frontier AI lab is not required, and is uncommon in the LATAM market — what matters most is hands-on engineering depth and the ability to operate with ambiguity.
Strong pluses
RL or post-training experience (any of: RLHF/RLAIF, verifier training, reward modeling, RL fine-tuning, environment design).
Experience with agentic evaluation (tool use, multi-step workflows, long-horizon tasks, trajectory analysis).
Multimodal expertise (document understanding, charts, diagrams, OCR, UI/vision grounding; audio/video optional).
STEM depth (math/physics/engineering) with an eye for verifiability and rigorous correctness.
Modern embodied AI / VLM-driven agent experience (vision-language(-action) models, interaction datasets, embodied evals, long-horizon grounding, tool/sensor/action interfaces).
Systems thinking: ability to “simulate” an application's API/data schema and design tasks that realistically reflect real-world constraints and workflows.
Why Turing
Work directly with a frontier AI lab, at the cutting edge of post-training and RL environment design, embedded in a real research relationship rather than a rotating set of anonymous tasks.
Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence.
High autonomy and fast iteration, with a Strategic Project Lead handling scaling and resourcing so you can stay focused on the technical approach and quality bar.
Talent-dense team, where you'll find rapid iteration and an exceptional learning curve.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
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
We sit on the front lines of OKX's security and compliance mission. Our charter is to build the flexible, scalable, and intelligent AI systems that detect and prevent identity fraud, account takeover, and large-scale organized abuse — in real time and at the scale of a global financial platform. We own the core identity-risk capabilities that decide, millions of times a day, whether an account can be trusted: identity trust signals, behavioral risk modeling, relationship and cluster intelligence, and face, liveness and document verification. We work shoulder-to-shoulder with Product, Risk, Compliance, and Engineering to turn the hardest adversarial problems in crypto into production-grade defenses that protect good users and the open financial system.
About the Role
We are looking for a Senior AI Engineer to design, build, and own key identity-risk and trust models at OKX. You will build models that combine identity verification results, device and geo data, and user behavior into trust and risk signals, and use graph and clustering methods to uncover organized, industrialized fraud. This is an end-to-end, research-to-production role: you will own algorithms in your domain and ship models into real-money, high-risk, large-scale production environments.
You will be a hands-on technical contributor who works closely with Product, Risk, and Compliance, and who helps raise the technical bar of the team. Your domains span:
Identity trust & risk modeling
— fusing verification scores, device, geo, and behavioral data into identity-quality and trust signals.
Cluster & relationship intelligence
— graph and clustering methods to identify account farms, mass registration, and coordinated attacks.
Behavioral risk modeling
— behavioral features and sequence models for account takeover and abnormal-session detection.
Biometric & multimodal signals
— face embeddings, liveness/anti-spoofing, DeepFake and injection defense, document forgery and AIGC detection, used as inputs to identity trust and the risk layer.
AI agents
— applying agentic AI to scale investigation, detection, and operational defense.
What You'll Be Doing
Build identity trust & risk models:
Design and ship coarse-to-fine risk models that fuse face/liveness/document verification scores, device, IP and geo signals, and behavioral data, for high-concurrency real-time decisioning.
Uncover organized
fraud
with graph & clustering:
Build entity graphs across accounts, devices, faces, documents and templates, and apply community detection, clustering, and GNN methods to detect fraud rings and large-scale abuse.
Develop behavioral features & sequence models:
Engineer real-time and offline behavioral features, and build sequence models to detect account takeover, bot/script behavior, and abnormal sessions.
Leverage biometric & multimodal signals:
Turn biometric features (face embeddings, face quality, liveness and anti-spoofing results) and document-forgery and DeepFake signals into reliable identity-trust inputs for risk decisions, including biometric similarity for cross-account linkage and duplicate-identity detection. Work with the face, liveness, and document teams, or build models yourself.
Drive execution & collaboration:
Deliver measurable results while managing ambiguity; partner with backend, product, infrastructure, risk, and compliance teams to integrate models into the production decision chain. Own metric definitions, the balance between false positives and missed fraud, pass rate, monitoring, and drift handling.
Advance applied R&D:
Experiment with graph learning, multimodal fusion, and AI agents; stay current with academic and industry advances and translate them into practical defenses.
Raise the technical bar:
Contribute to design reviews, share applied-AI best practices, and mentor junior engineers.
What We Look For
5+ years
of hands-on experience building risk-control, fraud-detection, or identity-trust models, including significant experience deploying ML systems into production.
Graph & clustering expertise:
Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection.
Behavioral modeling:
Solid experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines.
Deep AI/ML expertise:
Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems.
Strong technical & coding skills:
Strong coding ability (e.g., Python, SQL) and the system-level thinking to design end-to-end solutions with high availability and low latency.
Adversarial mindset:
Understanding of how fraudsters adapt, and how to evaluate and iterate defenses against evolving attacks.
Collaboration:
Strong communication skills, with experience working across engineering, product, and risk teams.
Education:
Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field.
Preferred Qualifications
Experience in identity verification, KYC/KYB, AML, face-payment or payment risk control, or biometric security.
Hands-on experience with face recognition, liveness/anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics.
Experience with graph databases or graph computing (e.g., Neo4j, GraphX) and real-time graph features.
Knowledge of data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake).
Familiarity with MLOps best practices: monitoring, retraining, and continuous improvement of production models.
Experience with LLMs and AI agents.
Experience working in fast-paced technology companies or security-critical environments.
Research publications, patents, or open-source contributions in relevant AI fields.
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 process!
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
.
Location: Hong Kong, Hong Kong SAR
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.
Key Responsibilities
Design and optimize high throughput order execution systems with sub-millisecond latency targets
Build real time market data pipelines aggregating order books and price feeds from multiple exchanges
Implement position tracking with exchange reconciliation, risk limits, and multi account support
Develop exchange connectivity using FIX 5.0+, WebSocket, and HTTP/2 protocols
Profile and eliminate latency hotspots using garbage free coding and lock free concurrency
Implement pre-trade risk controls, circuit breakers, and rate limiters
Qualifications
Solid STEM (Science/Technology/Engineering/Mathematics) education background.
5-8 years software development experience, preferably in trading/oms/latency sensitive systems
Strong Java 17+ proficiency with understanding of JVM internals and GC behavior
Hands-on experience with FIX 5.0+, WebSocket, and HTTP/2 protocols
Solid multi-threaded programming and concurrent systems knowledge
Understanding of order lifecycle and market microstructure basics
Strong problem solving skills and attention to detail
Excellent communication and collaboration skills
Ability to work independently and as part of a team in a fast paced environment
Preferred Skills
Cryptocurrency/Digital Assets: Crypto exchange APIs, DeFi, blockchain trading
Execution Algorithms: TWAP, VWAP, iceberg, sniper, or other smart order routing strategies
IPC Technologies: Aeron, Chronicle Queue, shared memory messaging
Proficiency or strong interest in Rust for performance critical systems development
Low latency libraries: Agrona Collections, Protocol Buffers, SBE for high performance serialization
Spring Framework, Netty, Vert.x
Timeseries databases (e.g InfluxDB)
Redis, etcd for caching and coordination
Technical Environment
Languages
: Java 17+, Rust, Python
Protocols
: FIX 5.0+, WebSocket, HTTP/2
Stack
: Spring, Netty, Aeron, Chronicle Queue, Redis, MySQL, InfluxDB
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 allowance
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
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
.
Location: Serbia
Workplace: remote
ABOUT YOU
We’re looking for a Senior Backend Software Engineer who thrives on solving complex technical challenges and building distributed systems that scale. You’re someone who’s comfortable working with Go, embraces microservices architecture, and understands how to build robust, event-driven systems used by millions of users.
You have experience working in containerized environments, designing resilient services, and contributing to system design and infrastructure decisions. You take ownership of your code from design to deployment, and enjoy collaborating with cross-functional teams to deliver high-impact, production-ready solutions.
If you’re passionate about building backend systems that are scalable, observable, and fault-tolerant, and you’re excited by the idea of powering innovative products at the intersection of games, commerce, and data, we’d love to hear from you.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
Design, build, and maintain backend services that power core products and platforms.
Develop event-driven systems using Go, Kafka, and Temporal (or similar orchestration tools).
Build scalable microservices in containerized environments using Docker and Kubernetes.
Drive architecture decisions that improve performance, resiliency, and maintainability.
Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions.
Own your code in production, monitor, debug, and continuously improve service performance and reliability.
Write automated tests and follow CI/CD best practices to ensure high-quality deployments.
Participate in code reviews, technical discussions, and knowledge sharing across teams.
Qualifications & Skills
5+ years of backend development experience in Go or a similar language.
2+ years of hands-on experience with Kafka or equivalent streaming platforms.
Strong understanding of microservices architecture, distributed systems, and event-based communication.
Experience working with workflow orchestration tools such as Temporal, Cadence, or similar.
Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker).
Solid understanding of observability, monitoring, and performance optimization.
Ability to troubleshoot production issues, analyze system behavior, and drive resolution.
Nice to Have
Experience with cloud platforms (e.g., AWS, GCP, or Azure).
Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases.
Background in gaming, payments, or commerce systems.
Prior experience working on internal platforms or developer-facing tools
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees through a comprehensive Benefits Program. This includes unlimited Flexible Time Off and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.
By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially.
Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Madrid, Alcobendas, Spain
💼
IT Specialist (Systems & Network)
📍
Alcobendas (On-site) |
🕐 Full-time
🚀
What will you do?
You’ll be part of the team ensuring that the company’s IT infrastructure runs smoothly and efficiently. This is not just a basic support role — you’ll have real impact on daily operations.
Your responsibilities will include:
Providing technical support to internal users (hardware, software, network)
Installing, configuring, and maintaining workstations, servers, and network systems
Troubleshooting incidents and resolving technical issues end-to-end
Managing network infrastructure (routers, switches, connectivity)
Installing and maintaining business applications (Microsoft Office, ERP, CRM)
Managing IT inventory and software licenses
Supporting backup systems and data integrity
Maintaining technical documentation (systems, configurations, incidents)
🧠
What we’re looking for
Degree or vocational training in IT (or equivalent experience)
Previous experience in IT support / systems / networking roles
Solid knowledge of:
Windows environments
Network troubleshooting
Hardware and system configuration
Professional level of Spanish and English, desirable Russian and/or Armenian
🌟 What we offer
Stable full-time position
Real exposure to IT infrastructure and systems
Collaborative and supportive team
Opportunity to grow technically
⚠️ Requirements
Based in Madrid or available to work on-site
Legal authorization to work in Spain
Commitment to confidentiality and best practices
Location: Kansas City, Missouri, United States
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 Team
You will join a fast-growing
Neocloud infrastructure organization
operating at the intersection of
AI, high-performance computing (HPC), and hyperscale cloud services
. Our data centers host large-scale GPU clusters purpose-built for AI training, inference, and accelerated workloads.
As global data center operations expand, this role offers significant
career progression
, direct involvement in
new data center builds and expansions
, and exposure to
industry-leading GPU platforms
. Your work will have a measurable impact on
platform reliability, customer SLAs, and operational efficiency
, while collaborating closely with experts in
AI infrastructure design, cloud operations, and data center engineering
.
This is a highly collaborative, innovation-driven environment where best practices are continuously refined to exceed industry standards in
design, deployment, and operations
.
The Role
As an
IT Manager
, you will be key in ensuring the maintenance and efficiency of our data center's IT infrastructure.
Your role involves leading a team that works directly with cutting-edge technologies, including the advanced GPU cloud clusters. You’ll be responsible for overseeing the IT infrastructure, handling hardware troubleshooting and resolution, and ensuring critical systems run smoothly.
You’re also welcome to work on-site at our colocation facility in Kansas City Metropolitan Area
Your responsibilities will include:
Manage IT support team to achieve KPI in IT infrastructure support and project planning.
Collaborating effectively with internal teams and external contractors to address technical and operational challenges.
Developing clear and comprehensive documentation and manuals for hardware configuration, troubleshooting and maintenance.
Planning, executing and monitoring regular IT tasks to maintain and improve IT infrastructure operations.
Manage IT support that includes diagnosing and resolving issues related to IT hardware and ensure the continuous support of the data center’s IT infrastructure.
Manage Project tasks that include installation, upgrading and dismantling of hardware based on operational requests and requirements.
Manage additional processes around asset management, Return Merchandise Authorizations (RMAs).
We expect you to have:
5+ years of team management, hands-on experience in diagnosing and resolving server hardware issues.
A solid understanding of data center operations, as well as server and network equipment principles.
Practical experience in project planning and management.
Knowledge of the ITIL methodology, the operational activities of the technical support service (ITSM).
Basic proficiency in the Linux operating system and familiarity with command-line tools.
Practical experience working with server IT hardware, enterprise-grade network switches and fiber optic cables.
Advanced Excel skills, including proficiency with pivot tables, formulas, lists and graph creation.
A proactive, responsible and goal-oriented approach to work.
It will be an added bonus if you have:
ITIL and/or PMI certification.
Compensation:
$146,880 – $220,320 + Bonus USD per year, depending on experience and qualifications (Annual Bonus Eligible)
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$146,880
—
$220,320 USD
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: Baden-Baden, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Darmstadt, Germany; Dusseldorf, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Karlsruhe, Germany; Kiel, Germany; Koln, Germany; Leverkusen, Germany; Magdeburg, Germany; Mainz, Germany; Mittenwalde, Germany; Munich, Germany; Münster, Germany; Paderborn, Germany; Stuttgart, Germany; Ulm, Germany; Viechtach, Germany; Vienna, Austria; Wien, Austria; Wiesbaden, Germany; Wuppertal, Germany
Workplace: hybrid
At
TechBiz Global
, we are providing recruitment service to our TOP clients from our portfolio. We are currently looking for a
Senior Sales Executive
to join one of our
clients
' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
You drive revenue growth in the
German OTT market
by actively developing
new business
, building
strategic partnerships
, and maintaining strong customer relationships.
You will develop and implement a
clear go-to-market strategy
for
streaming platforms
and OTT technologies – from lead generation to successful closing.
You identify, contact and manage key decision-makers at telecommunications companies, ISPs, broadcasters, platform operators and energy suppliers.
You use your
existing network
of relevant market players in the media and telco environment to unlock new business opportunities and efficiently manage complex sales cycles.
You will work closely with product, technology and management teams to develop
tailored solutions
and optimally address technical, regulatory and commercial requirements.
You observe market and competitive developments, recognize trends early on, and derive concrete opportunities for further growth from them.
You provide valuable recommendations on how we can increase our competitiveness and optimize our product offerings.
You will represent our company at industry trade fairs, conferences and other relevant events.
Your skills and experience that impress us:
You bring
in-depth industry expertise in the OTT environment
and are familiar with OTT delivery solutions such as
CMP, CDN and DRM
not only from presentations, but from real customer projects.
You are familiar with the formal procurement and tendering processes of large telecommunications companies and public broadcasting corporations – and know how to
navigate complex RfPs strategically and successfully.
You have a
robust network
of
technical and commercial
decision
-makers
at media and telecommunications companies in Germany (Deutsche Telekom/MagentaTV, Sky, 1&1, ARD/ZDF) as well as regional network operators – and you actively use these relationships for business development.
You communicate fluently in
German at a native speaker level
and possess
professional English skills
to confidently navigate international teams and projects.
You bring
solid experience with B2B business models
(platform licensing, white-label apps, bundle integration) and references from your completed sales successes in the media and TELCO environment.
More than
10 years of sales and industry experience
in the field of streaming platforms, video transmission or pay-TV solutions round off your profile.
ГибридСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds
United States, San Mateo, CA
ГибридseniorPorto, Portugal
ГибридSan Francisco
Singapore
seniorUnited States
seniorBerlin, Germany; Helsinki, Finland; Stockholm, Sweden; Tallinn, Estonia
Brazil; For applicants from the European Union, please review
seniorHong Kong, Hong Kong SAR; Singapore, Singapore
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