Jobs

TBC is building next-generation AI systems at the intersection of biological computing, generative models, and large-scale AI infrastructure. As we scale our world-model and neural-optimizer efforts, we are looking for an optimization-focused Research Scientist / ML Engineer to improve the efficiency, latency, throughput, and deployability of large models.

This role is focused on making frontier models run faster, cheaper, and more reliably — especially LLMs, diffusion models, video generation models, and world-model systems. You will work across inference optimization, training efficiency, model compression, memory management, and GPU-level performance to help turn research systems into scalable, customer-ready products.
WORK WITH USA 

What You’ll Work On

• Optimize inference for LLMs, diffusion models, video models, and world-model systems
• Improve serving efficiency through techniques such as KV caching, batching, quantization, distillation, speculative decoding, and memory optimization
• Build and optimize high-throughput inference pipelines for large models running on GPU clusters
• Profile model performance across latency, throughput, memory usage, GPU utilization, and cost
• Implement custom kernels or low-level optimizations using Triton, CUDA, PyTorch, or related systems
• Improve training and fine-tuning efficiency for large generative models, including distributed training, checkpointing, parallelism, and data loading
• Work with research teams to identify bottlenecks in model architecture, inference paths, and deployment workflows
• Translate model performance improvements into clear customer-facing benchmarks and technical proof points
• Evaluate trade-offs across model quality, latency, cost, memory, and deployability

What We’re Looking For

• Strong background in machine learning systems, model optimization, or high-performance AI infrastructure
• Hands-on experience optimizing LLMs, diffusion models, video generation models, or other large generative systems
• Experience with one or more of:
  • Inference optimization
  • KV caching / attention optimization
  • Triton or CUDA kernel development
  • Quantization, pruning, distillation, or model compression
  • Distributed training / fine-tuning efficiency
  • GPU profiling and performance debugging
• Strong PyTorch experience and comfort working close to the model/runtime boundary
• Ability to reason about trade-offs between quality, latency, throughput, memory, and cost
• Comfortable working across research code, production systems, and benchmarking infrastructure
• Excited to work in an ambiguous, early-stage environment where optimization work directly shapes product feasibility

What Success Looks Like

• Large models run faster, cheaper, and more reliably across TBC’s core workloads
• Inference pipelines show measurable improvements in latency, throughput, memory use, and GPU utilization
• Training and fine-tuning workflows become more efficient, reproducible, and scalable
• Optimization work translates into clear product and customer value, not just internal benchmarks
• Research prototypes become deployable systems that can support demos, evaluations, and early partner use cases

Preferred Qualifications

• PhD, MS, or equivalent industry experience in Computer Science, Machine Learning, Systems, Robotics, or related field
• Prior work optimizing large-scale generative models in production or research settings
• Experience with modern inference/training stacks such as PyTorch, Triton, CUDA, vLLM, TensorRT, DeepSpeed, FSDP, Ray, or similar tooling
• Experience working with LLMs, diffusion models, video generation models, or world models

Workload — Full-time (100%)
Start — ASAP
Duration — Long-term
Location — Remote
Language — English

About the Role

We are looking for an experienced DB2 LUW Administrator (L3 Support) to join a long-term support engagement. In this role, you will be responsible for administering, optimizing, and troubleshooting IBM DB2 LUW databases in SAP environments, ensuring high availability, performance, and reliability of mission-critical systems.

This position is ideal for a senior database professional with deep expertise in DB2 LUW, SAP Basis, performance tuning, disaster recovery, and production support.

Responsibilities

• Administer, maintain, and optimize IBM DB2 LUW databases in SAP environments
• Provide L3 support, perform advanced troubleshooting, and conduct root cause analysis for complex database issues
• Optimize database performance through SQL tuning and query optimization
• Manage database backups, restores, cloning, and disaster recovery processes
• Configure and maintain high availability solutions
• Collaborate closely with SAP Basis teams to ensure stable and efficient SAP operations
• Monitor database health, storage utilization, capacity planning, and performance
• Implement and maintain database security policies and best practices
• Automate routine administration tasks using tools such as Ansible, Jenkins, or PowerShell
• Participate in a 24/7 on-call rotation for critical production systems

Requirements

• 8+ years of commercial experience as a DB2 LUW Database Administrator
• Strong hands-on experience supporting SAP environments
• Experience working with SAP Basis and DBA Cockpit
• Deep knowledge of IBM DB2 LUW administration, troubleshooting, and performance tuning
• Strong expertise in backup, recovery, cloning, snapshot restores, and disaster recovery strategies
• Experience implementing and supporting HADR (High Availability Disaster Recovery)
• Strong SQL optimization and query performance tuning skills
• Solid Linux/UNIX administration skills
• Experience with automation tools such as Ansible, Jenkins, or PowerShell
• Excellent analytical, troubleshooting, and communication skills
• Professional English

Nice to Have

• IBM DB2 Database Administrator Certification
• Experience with SAP HANA
• Additional experience with enterprise database high-availability architectures

What We Offer

• Long-term full-time remote engagement
• Stable enterprise support project
• Opportunity to work with large-scale SAP production environments
• International team and English-speaking environment
• Challenging technical tasks involving mission-critical database infrastructure

About client

Client builds and operates GPU cloud infrastructure at the scale modern AI demands. We run dense accelerated-compute clusters on bare metal, powered by NVIDIA and AMD accelerators and K8s, stitched together with high-performance Ethernet and InfiniBand fabrics, and we deliver them to customers as reliable, secure, high-throughput platforms. We are scaling rapidly across new data center sites, and the infrastructure team sits at the center of that growth, building the systems that turn racks of hardware into a product customers depend on.

The role

We are hiring a Principal Infrastructure Engineer to build the foundation of our greenfield v2 cloud platform: the bare-metal provisioning and control-plane substrate that turn new racks of GPU hardware into reliable, secure, customer-ready capacity.This is a build-focused, hands-on role and the most senior individual contributor on the platform build. You will own the recommendation and the call on the infrastructure layer (we’re currently in POC across different vendors) and the build-vs-buy decision that goes with it, with our Cloud Platform Architect pressure-testing it. You will drive integration across the other domains and define how infrastructure is templated, multi-tenanted, and handed to customers. You will define the architecture and the standards the rest of the team builds to, while still being deep in the code yourself. Day-to-day operations are not your focus, getting the platform designed and built right is.

You will work at the center of new cluster and new-site buildouts, partnering closely with our network, SRE, and security engineers. They own the fabric and day-to-day operations; you own getting the platform built right. Because the systems you design become the foundation customer GPU workloads run on, getting the architecture and automation right the first time matters more here than almost anywhere.

What you’ll own

• Platform architecture and technical direction: own the architecture of the cloud platform control plane and orchestration layer for new GPU clusters, making the foundational decisions and setting the technical standards the rest of the platform is built on.

• Bare-metal provisioning automation: build the automated pipeline that takes a node from rack-and-stack handoff to a fully configured, real acceptance gates before a node is marked customer-ready, firmware to the qualified recipe, GPU burn-in, NCCL/RCC runs, and fabric checks, plus a golden-image build-and-qualify pipeline in CI repeatedly across sites and at scale.

• Infrastructure as code and automation: treat the platform as code from day one. Build the Terraform and Ansible that provision, configure, and validate the platform, so the build is reproducible rather than hand-assembled.

• Control-plane substrate: build the control plane that turns provisioned bare metal into cluster-ready capacity, and own the clean handoff to the Kubernetes layer. You own tenant isolation at the network and hardware layer; the Kubernetes and namespace isolation model belongs to the Principal Kubernetes Platform Engineer.

• DPU and SmartNIC integration: design how we leverage BlueField DPUs in the platform, offload, provisioning, isolation, and the SuperNIC/DPU-mode configurations that let us get the most out of the hardware.

• Platform reliability by design. Build observability, guardrails, and progressive-rollout mechanisms into the platform from the start. As you build it and design to our SOC 2, ISO 27001, and HIPAA obligation.

• Security Built-in: instrument the platform as you build it and design to our SOC 2, ISO 27001, and HIPAA obligations. Vault-based secrets model from the start. BIOS and system prep for trusted domain execution, secure boot, and backend-fabric hardening.

• Confidential-compute-ready platform (growth area): Design the tenancy and scheduling so it fits our confidential-compute roadmap: whole-GPU per tenant, and TDX with GPU passthrough. Deep CC background is a plus, not a requirement.

• New site buildouts: take a critical role in standing up the platform at new data center sites, turning green-field facilities into production capacity.

• Technical leadership: set patterns, review designs, and raise the engineering bar across the infrastructure team multiplying the impact of other engineers and mentoring senior ICs, without becoming a people manager.

What we’re looking for

Required

• 10+ years building production infrastructure at scale, including deep green-field and platform-build experience, for cloud, hosting, or high-performance compute environments.

• A track record of setting technical direction on complex platforms, architecture others adopt, standards others follow, and influence that extends well beyond your own keyboard.

• Strong Linux systems fundamentals, you can reason about the kernel, networking stack, storage, and performance, not just the command line.

• Fluency in infrastructure as code and automation: Terraform, Ansible, and a real programming language used to build durable platform tooling, not just one-off scripts.

• Production Kubernetes experience: building, deploying, and operating clusters and the platform services that run on them.

• A demonstrated bias toward building things right the first time: sound architecture, reproducible automation, and durable design over short-term shortcuts.

• Strong written communication, you document designs and decisions clearly and leave systems more understandable than you found them.

Strongly preferred

• DPU / SmartNIC experience, especially leveraging offload, DPU/SuperNIC modes, and platform designs that exploit them. This is a meaningful differentiator for us.

• Experience with GPU and accelerated-compute infrastructure across NVIDIA and AMD, including ROCm and firmware lifecycle, or HPC/AI infrastructure.

• Bare-metal provisioning at scale (Redfish/BMC automation, NetBox or a similar source of truth).

• Experience standing up cloud-platform control-plane stacks in a green-field setting.

• Networking depth, BGP, VLANs, fabric concepts, and the ability to debug connectivity and throughput issues. You won’t own the network, but the more fluently you can partner with our network engineers, the better.

• Familiarity with high-performance fabrics: RoCE Ethernet / InfiniBand.

• HashiCorp Vault, and building within a SOC 2 / ISO 27001 / HIPAA compliance posture.

How we work

• Small, senior, high-trust teams. We hire people who can own and solve problems end to end and we give them the room to do it.

• Code over clicks. The platform is defined, reviewed, and versioned. Manual changes are the exception and they get automated away.

• Build it right. We invest in sound architecture and durable design so the platform scales cleanly instead of accumulating debt.

• Customers are real. The platform exists to serve customer workloads, and we build to the reliability and white-glove standard that implies.

• We document. Designs, decisions, and architecture are written down so the team compounds knowledge instead of re-learning it.

AI as a force multiplier

We expect our engineers to use AI to move faster and operate at higher leverage, and we build our environment to make that the default rather than an afterthought. We maintain CLAUDE.md and AGENTS.md context files across our repositories, run MCP servers against our operational systems (Jira, NetBox, Checkmk), and use agentic coding tools such as Claude Code directly in our infrastructure and platform workflows.

You don’t need to be an AI expert, but you should be eager to fold these tools into how you design, build, and automate — and to help us push the frontier of what an AI-leveraged infrastructure team can do.

What success looks like

First 30 days

• Ramped on our environment: the platform stack, provisioning approach, and target architecture. able to navigate the codebase and design docs independently.

• Shipped your first meaningful contribution to the platform build with the team’s review.

• Aligned with network, SRE, and security on where your work meets theirs.

First 90 days

• Owning a defined component of the platform build end to end, from design through delivery.

• Delivered a meaningful piece of provisioning or platform automation that made the build faster, more reproducible, or more reliable.

• Shaped at least one foundational architecture decision that the platform is built on.

First 12 months

• The recognized technical authority for the cloud platform build, setting direction and trusted across network, SRE, security, and platform engineering.

• Designed and delivered a significant piece of the cloud platform or its automation that raised the team’s leverage and the platform’s reliability.

• Took a lead role in bringing at least one new data center site online.

Seranova started with one product and a big belief — that clinic-quality skincare shouldn’t cost clinic prices. Two years later, we’re at $130M and honestly? We’re just warming up. Come be part of it.

Who we are

We’re a fully remote team of 100+ people building and scaling D2C health & wellness brands at speed. Seranova is our flagship — a skincare brand that went from zero to one of the fastest-growing subscription brands in the space. We move fast, make data-driven decisions, and we’re not done yet.

The role

We’ve built a strong paid media foundation. Now we need someone to take it to the next level — not just manage what exists, but build the systems, channels, and measurement infrastructure that will carry us to $500M and beyond.

This is a senior, hands-on role. You’ll own performance marketing strategy end-to-end, work closely with our CMO, and be the person who makes sure every dollar we spend is working as hard as it can.

What you’ll own

Channel expansion
Test and build out new channels — Native, CTV, YouTube, Snapchat, Reddit, and beyond. Own the full structure end-to-end: page copy, tracking setup, creatives. Company resources follow traction, not hypotheses.

Ad account performance
Daily opportunity audits across accounts — spend allocation, creative testing, whitelisting, partnership ads, bidding structures. You spot inefficiencies before they become problems.

Measurement & attribution
Build multi-touch attribution models that tell us where our next dollar is best spent. Run incrementality studies via geo-based holdouts. Own the media spend forecast model. Make sure our data is clean enough to trust.

Unit economics
Own Day 0 CAC and contribution margin by channel. Judge channels on retention-adjusted CAC, not just Day 0. You own a number, not just an analysis.

People
Manage media buyers and specialists across owned channels — in-house and agency. Set direction, hold output, develop the team.

Who you are

You’ve come from a high 8-figure or 9-figure brand — or a brand group operating at that level. You might be a performance marketing manager, media buying manager, acquisition lead, or head of growth looking for a bigger seat.

You know paid media inside out — Meta, Google, Amazon, and the channels beyond. You’ve built attribution models with your own hands. You understand that CAC on day zero and CAC on day 90 are very different numbers, and you’ve built systems around that insight.

You move fast, you’re comfortable with ambiguity, and you’d rather ship and learn than wait for perfect conditions.

And beyond the skills — you’re someone who genuinely cares about the work. The kind of person who thinks about the problem on a Tuesday evening not because they have to, but because they’re actually interested in solving it.

What we offer

— Competitive salary
— Fully remote — work from anywhere within EST, CET, or Dubai time zones
— A sharp, experienced team that moves at real speed
— The chance to build something from the ground up — not inherit someone else’s structure

Sound like you?

We’d love to hear from you. Tell us about a channel or attribution system you built — what you built, why, and what it changed.

Seranova started with one product and a big belief — that clinic-quality skincare shouldn’t cost clinic prices. Two years later, we’re at $130M and honestly? We’re just warming up. Come be part of it.

Who we are

We’re a fully remote team of 100+ people building and scaling D2C health & wellness brands at speed. Seranova is our flagship — a skincare brand that went from zero to one of the fastest-growing subscription brands in the space. We move fast, make data-driven decisions, and we’re not done yet.

The role

We launched on TikTok Shop and we’re already at $20k/day in GMV. The foundation is there — now we need someone to build the system that takes it to the next order of magnitude.

This is a full ownership role. You’ll take the TikTok Shop channel, the creator program, and the team behind both — and turn it into a machine. Strategy, execution, people, systems — all yours.

What you’ll own

Strategy & roadmap
Own the full TikTok Shop roadmap — every lever that drives GMV. Creator acquisition end-to-end: sampling, poaching, retainer creators, agency partnerships. Offer calendar, listing strategy, platform promo enrollment. You set the direction and make sure the team executes against it.

Influencer & creator program
Own influencer marketing across TikTok Shop and adjacent platforms — sourcing, negotiations, whitelisting, paid usage rights, performance tracking. Build the content engine that turns creators into consistent posters who actually drive sales.

Systems & infrastructure
Build the creator training infrastructure that scales: onboarding flows, weekly training calls, top-creator support. Build the community infrastructure — Discord, WhatsApp tiers — that keeps creators engaged and posting. Build the SOPs so the program runs without bottlenecking on you.

Performance
Own weekly GMV targets. Monitor creator output, content performance, and offer performance in real time — kill what isn’t working, double down on what is. Run weekly reviews, surface what’s broken, ship fixes fast.

Team
Lead and direct creative strategists, creator managers, community managers, and agencies. Set direction, hold output, develop the team.

Who you are

You have 2+ years running TikTok Shop operations end-to-end — and you have real GMV numbers to show for it. You’ve run influencer programs at scale across TikTok, Instagram, and YouTube. You’ve led a team and know how to drive output through other people, not just yourself.

You live and breathe TikTok Shop — creator acquisition, content strategy, offer engineering, GMV Max, Spark Ads, Affiliate Center analytics. You’ve worked with tools like TikTok Seller Center, Kalodata, Shopify Collabs, Social Snowball, or similar.

You move fast, you’re detail-oriented, and you’re the kind of person who’s constantly looking for what elite TikTok Shop programs are doing — and pulling the best ideas into your own systems.

And beyond the skills — you genuinely care. The kind of person who thinks about creator performance on a Saturday not because they have to, but because they’re actually excited about building something.

What we offer

— Competitive salary
— Fully remote — work from anywhere within EST, CET, or Dubai time zones
— A sharp, experienced team that moves at real speed
— The chance to build a TikTok Shop program from the ground up — not inherit someone else’s structure

Sound like you?

We’d love to hear from you. Tell us about a TikTok Shop or influencer program you built — what you built, why, and what it changed.

INVESTPROF - продуктова компанія у сфері арбітражу трафіку та digital-продуктів. У нас немає managed-Kubernetes, немає AWS-білінгу за nat-gw і немає вендорних залежностей. Ми будуємо власну платформу на bare-metal з нуля - і шукаємо інженера, який буде співавтором цієї платформи на наступні роки.

Наш стек (повністю, без прикрас)

• Platform: Talos Linux на Proxmox VE, IaC через Terraform + Terragrunt.
• Kubernetes: ванільний, Cilium як CNI з BGP та LB-IPAM, без kube-proxy.
• GitOps: Argo CD + Image Updater, Helm, Kustomize, приватний OCI-реєстр.
• Network: MikroTik / RouterOS на залізі, ingress-nginx + HAProxy, Ingress, CoreDNS, NetBird для ZTN.
• Security: cert-manager (Let’s Encrypt + Cloudflare DNS-01), External
• Secrets Operator, Sealed Secrets.
• Observability: VictoriaMetrics, Loki, Tempo, Grafana, Grafana Alloy, Alertmanager.

• Data: PostgreSQL під Crunchy PGO (Patroni, PgBouncer, pgBackRest), Kafka під Strimzi (Connect, Debezium для CDC), DragonflyDB замість Redis, MinIO як S3-сумісне сховище, AWS / Yandex S3 CSI.

   

Що будете робити

• розвивати платформу: від проєктування нових кластерів до оптимізації існуючих;
• володіти networking-доменом: BGP-сесії з роутером, anycast, L4 / L7 балансування, traffic engineering;
• вести GitOps-процеси: новий сервіс розгортається через PR у config-репозиторій, без ручних kubectl;
• адмініструвати stateful-частину: PostgreSQL HA, Kafka, об’єктне сховище;

• будувати observability: SLI / SLO, алертинг, трейсинг, log-pipeline через Alloy.

   

Кого шукаємо

• Senior або Lead-рівень з реальним production-досвідом на Kubernetes ≥ 3 років;
• маєте глибоке розуміння Linux internals, networking (TCP / IP, BGP, iptables / eBPF);
• працювали з GitOps-підходом (Argo CD або Flux) у бойових умовах;
• розумієте, чому immutable OS це не примха, а архітектурне рішення;
• володієте IaC (Terraform / Terragrunt або Pulumi);

• маєте досвід з Postgres у production (HA, бекапи, відновлення).

   

Великий плюс

• комерційний досвід з Talos / Flatcar, Cilium (особливо BGP та eBPF), Crunchy PGO, Strimzi;
• досвід проєктування мереж із MikroTik або іншим enterprise-обладнанням;
• розуміння ZTN-архітектур (NetBird, Tailscale, Twingate, Cloudflare Access);

• Kubernetes RBAC та безпека у глибину, OpenTelemetry.

   

Умови

• Повна зайнятість, повністю remote.
• Англійська рівня intermediate+ для технічної документації.

• Прямий вплив на архітектурні рішення, мінімум бюрократії.

   

Процес

1. CV-скрінінг (1-2 дні).
2. Співбесіда з HR.
3. Технічна розмова з нашим Lead DevOps (1 година).
4. Архітектурне інтерв’ю - обговорюємо реальний кейс з нашої інфраструктури (1.5 години).
5. Оффер.
6. Можливе тестове завдання за результатами технічного інтерв'ю.

Playtech‘s Marketplace and Engagement Games Product Team is looking for an experienced Fullstack Team Leader with strong full-stack web development background, excellent communication skills, and a proven ability to lead teams and deliver reliable, maintainable, customer-facing software.

Team Leader will lead the engineering team responsible for two established Playtech products: Marketplace, a casino content management product, and Engagement Games, a real-time gaming campaigns product.

The role combines engineering leadership, people management, and hands-on technical understanding. The Team Lead will guide the team in delivering high-quality full-stack solutions, support technical decision-making, improve engineering practices, and ensure effective collaboration with Product, Architecture, QA, DevOps, Delivery Management, and other teams.

Your influential mission. You will... 

• Lead and coordinate the full-stack engineering team.
• Own day-to-day progress tracking, and risk management.
• Work closely with Product, Architecture, QA, DevOps, Delivery Management, and external teams.
• Converting product requirements and business priorities into clear, well-defined technical tasks and structured delivery plans.
• Participate in solution design, technical discussions, architectural reviews, and implementation planning.
• Ensure effective engineering practices: code review, testing, documentation, CI/CD, observability, and production readiness.
• Mentor and coach engineers through feedback, technical guidance, code review, and regular communication.
• Improve team processes, engineering workflows, release predictability, and overall team efficiency.
• Contribute hands-on when needed in complex investigations, troubleshooting, or critical delivery situations.

Components for success. You...

• Bring 7+ years of professional software engineering experience, preferably in full-stack web development.
• Have 2+ years of experience in a leadership role, such as Team Lead, Engineering Lead, Tech Lead, Development Lead, or similar.
• Demonstrate strong experience with modern JavaScript / TypeScript web applications.
• Possess solid practical knowledge of React, Redux, ES6+, HTML5, CSS3, Node.js, REST APIs, MongoDB, and Redis.
• Have experience delivering customer-facing or business-critical web applications.
• Show a strong understanding of full-stack architecture, performance, testing, CI/CD, and production support.
• Have experience working with highly available, performance-sensitive, distributed, or event-driven systems.
• Are experienced in Agile environments and collaborating with cross-functional and distributed teams.
• Demonstrate strong ownership, accountability, and an engineering leadership mindset.
• Are able to lead people, delivery, and technical discussions effectively.
• Apply good technical judgment and guide teams toward simple, maintainable solutions.
• Communicate clearly with both technical and non-technical stakeholders.
• Show strong planning, prioritization, dependency management, and risk communication skills.
• Have the ability to mentor engineers and support their professional growth.
• Take a pragmatic approach to balancing delivery timelines, quality, and long-term product health.
• Pay high attention to detail and bring a collaborative, constructive approach to feedback and conflict resolution.

You'll get extra points for...

• Experience improving engineering processes, delivery metrics, release predictability, or team performance.
• Experience with frontend architecture, reusable component libraries, design systems, or micro-frontends.
• Experience in gaming, gambling, casino platforms, campaign management, or real-time engagement products.
• Experience with observability, monitoring, logging, and production incident analysis.

Thrive in a culture that values...   

• Technical excellence and engineering ownership.
• Initiative-taking and confident decision-making.
• Strong team environment and the ability work with the most recent market-leading technologies.
• Initiative-taking and confident approach at the workplace.
• Global scope and inclusive working environment where you can engage with diverse teams and perspectives.
• Constant learning and development opportunities and professional growth programs.
• Active lifestyle and mental well-being, supported through sports classes, master classes, and monthly well-being activities.
• Medical insurance.
• Paid vacation days, sick leaves and national holidays.
• Fully-equipped cosy office space located in the city centre (Gulliver, “Palats Sportu” metro station).

MARKETPLACE & ENGAGEMENT GAMES PRODUCT TEAM

Our team is dedicated to two of Playtech's products - Marketplace, a platform for managing casino content, and Engagement games - a promotional tool for creating and monitoring real-time gaming campaigns. Both products are stable and well-established, with Engagement games offering seamless integration and customization for engaging player campaigns. Marketplace simplifies the management of casino content, providing tools to access marketing assets and manage game certificates. We thrive in a friendly and collaborative environment, engaging in full stack development using JavaScript technologies like React, Redux, ES6+, and Node.js. Some of our responsibilities include maintaining client-facing and server-side applications, writing high-quality, scalable code, participating in the software development lifecycle, collaborating with other departments for ensuring smooth deployments, and refining internal processes.

Tech stack: React, Redux, ES6+, TypeScript, Node.js, MongoDB, Redis, REST APIs.

Playtech is an equal opportunities employer. Our mission is to welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work.

We are an international developer of IT products for medicine and related services. Our products are used by more than 5,000 doctors and more than 1,000 clinics in Europe.

The goal is to attract the largest possible audience to the main projects - clinics and doctors up to 3 million. As well as expanding unique traffic to 10 million per day until 2025. We are looking for AI Engineer / AI Architect with deep knowledge of Fundamental Mathematics, Probability Theory and Bayesian Statistics, Graph Algorithms, Mathematics of Transformers, Hybrid AI Approaches, Uncertainty Assessment.

Must-have skills are:
1. ML and Data Science (Core):
- Expert in NLP & LLM: Deep understanding of Transformers architecture (BERT, RoBERTa, GPT, T5, Llama/Mistral). Experience with Large Language Models (LLM) – not prompt engineering, but fine-tuning (PEFT, LoRA) of open-source models on specific datasets.
- RAG (Retrieval-Augmented Generation): Experience building RAG systems is required. The AI ​​must be able to search for information in different data sources.
- Named Entity Recognition (NER) & Information Extraction: Ability to extract specific entities from unstructured text.
- Tabular Data & Classic ML: Confident use of classical algorithms (XGBoost, CatBoost, LightGBM) for analyzing structured data and building probability scoring models.
- Frameworks: PyTorch (preferred) or TensorFlow/Keras. Proficiency in HuggingFace, Scikit-learn, Pandas, and NumPy.

2. MLOps:
- Experience wrapping models in APIs (FastAPI, Flask) with minimal latency. 

- Docker knowledge and experience working with local GPU instances are required.
- Experience working with vector databases (Pinecone, Milvus, Qdrant, ChromaDB) for quickly searching for similar cases or working with knowledge bases.

- ML Pipelines: Experience building model training and retraining pipelines (Airflow, MLflow, DVC).

3. MedTech and Security:
- Practical working experience with sensitive personal data and GDPR/DSGVO requirements.

- It is important to be able to deploy and optimize local models (Llama 3, Mistral, Mixtral) within a closed company environment to ensure data privacy.
- Skills in quantization and distillation of models to speed up work without significant loss of quality.

Nice-to-have skills:
- Experience working specifically with medical data (EHR, EMR; HL7, FHIR, ICD-10/11 standards). 

- Knowledge of Interpretability/Explainable AI (XAI) methods. The end user should understand why the AI ​​suggested a particular option (SHAP, LIME).

- Experience with multimodal models.

What we offer:
- Paid holiday for 28 working days.
- Transparent incentive system.

Working with us means:
- Unique technological and innovative projects.
- Gaining experience in modern western world practices in security, scalable architecture, etc.
- In-depth knowledge of telemedicine.
- Working with Big data, high load, distributed computing and data buses.
- Socially important projects.
- Opportunity to influence both technology and product solutions.
- Profitability and stability of a large European company.

Our Mission and Vision

At Solidgate, our mission is clear: to empower outstanding entrepreneurs to build exceptional internet companies. We exist to fuel the builders — the ones shaping the digital economy — with the financial infrastructure they deserve.

We’re building the #1 payment orchestrator in the world — and the names behind us prove it. Clients include Bolt, Ajax, Nova Post, MEGOGO. Trusted by giants like J.P. Morgan. Ranked #2 in the “Employer of the Year 2026” award by Forbes Ukraine.

About the Team and Role

You’ll join the Billing team and take ownership of the Taxes module — a core part of our billing system responsible for tax calculation and reporting across multiple locations.

The product has already moved beyond MVP and is actively used by customers. The foundational logic is in place, demand is high, and the next step is scaling functionality and reliability.

This role is exciting because you’re not maintaining legacy code — you’re building and shaping a critical system almost from scratch.
You will have a clear path to Lead: full ownership of the Taxes direction, architectural decisions, and growing a team around it.

Your team — Product Owner, 1 Senior Engineer, 1 Junior Engineer,  Automation QA, and Tax Manager.

Explore our technology stack ➡️ here.

What you’ll own

Your focus will be on:

• building tax calculation and reporting logic
• integrating third-party tax providers
• improving system resilience and uptime
• making architectural decisions and setting technical direction
• mentoring engineers as the team grows

In the first months, you’ll deliver key tax functionality and lay a solid foundation for future product and team growth.

We rely on automated testing over manual QA — unit, integration, functional, and e2e tests are a core part of how we ship and scale safely.

You’re a great fit if you have

• 6+ years of backend engineering experience (Go/PHP/Java/Kotlin)
• Strong understanding of high-load system design
• Solid experience with PostgreSQL
• Experience with queues or streams
• Strong testing culture: unit, integration, functional, e2e
• Proactive, independent, result-oriented mindset

Nice to have

• Kafka
• AWS services
• CI/CD pipelines
• Fintech / payments / financial domain experience
• Understanding of VAT, GST, Sales Tax
• Experience managing teams

Why Solidgate?

High-impact role. You’re not inheriting a perfect system — you’re building one.

Great product. We’ve built a fintech powerhouse that scales fast. Solidgate isn’t just an orchestration player — it’s the financial infrastructure for modern Internet businesses. From subscriptions to chargeback management, fraud prevention, and indirect tax — we’ve got it covered. We hold financial licenses in key regions and are a direct Visa & Mastercard partner and sub-reseller (top 5 globally).

Massive growth opportunity. Solidgate is scaling rapidly — this role will be a career-defining move.

Top-tier tech team. Work alongside our driving force — a proven, results-driven engineering team that delivers.

Modern engineering culture. TBDs, code reviews, solid testing practices, metrics, alerts, and fully automated CI/CD.

💌 The Extras: 30+ days off, unlimited sick leave, free office meals, health coverage, and Apple gear to keep you productive. Courses, conferences, sports and wellness benefits — all designed for ideas, focus, and fun.

Tomorrow’s fintech needs your mindset. Come build it with us.

🫂 Know top talent? We’re always on the lookout. Recommend someone for our role, and if they get hired, there’s a bonus waiting for you — simple as that.

Location: London, UK (relocation is expected)

Employment: Full-time
 

We are looking for a Founding Engineer to join an early-stage AI startup building automation solutions for the Testing, Inspection, Certification, and Compliance (TICC) industry.
 

As one of the first technical hires, you will work directly with the CTO, helping to build the company's core AI platform while working closely with customers to automate real operational workflows.
 

Responsibilities:

• Design, develop, and deploy end-to-end software solutions.
• Work directly with customers to understand their business processes and identify automation opportunities.
• Build AI-powered solutions using LLMs, computer vision, workflow automation, and integrations with third-party systems.
• Develop features from idea to production with a strong focus on business impact.
• Integrate with legacy software, sensors, laboratory equipment, and external APIs.
• Contribute to the architecture of the core platform.
• Help shape engineering processes and grow the engineering team as the company scales.
   

Requirements:

• Strong software engineering background with the ability to work across different technologies and tech stacks.
• Experience building and shipping production software independently.
• Product mindset with the ability to solve business problems through technology.
• Excellent communication skills and ability to work directly with customers.
• Comfortable taking ownership and working in a fast-paced startup environment.
• Willingness to travel across the UK (2–3 days per week during customer onboarding phases).
   

Nice to Have:

• Production experience with AI/ML (LLMs, AI agents, Computer Vision, Data Science).
• Experience with cloud platforms (preferably GCP).
• Previous startup or Founding Engineer experience.
• Experience migrating legacy systems.
• Consulting or Forward-Deployed Engineering background.
• Experience in compliance, inspection, logistics, facilities management, or industrial software.
• Experience working with non-technical stakeholders.

Client

Our client is a large international manufacturing company listed in the S&P 500, operating a complex, multi-site global environment. As part of a Data Strategy Development initiative, the organization is defining a clear, pragmatic, and scalable data strategy to improve decision-making, reduce manual processes, strengthen data ownership, and establish a strong foundation for future analytics and digital transformation. The engagement focuses on strategy definition and is expected to continue into platform and analytics implementation phases.

Project overview

This initiative focuses on establishing a robust, enterprise-wide data strategy and building a data-driven culture. The project involves standing up a modern target operating model, deploying advanced data platforms, and creating the data leadership architecture necessary to support long-term business capabilities.

Position overview

The Data Consultant will lead the people and process aspects of the organization's data strategy, specifically driving data governance, change management, and the data literacy agenda. Serving as a business-facing leader, this role acts as the primary bridge between business stakeholders, executive sponsors, and the technical delivery teams. The ideal candidate possesses strong business acumen paired with sufficient technical literacy to maintain credibility with data architecture teams and ensure seamless strategic alignment.

Responsibilities

• Data Governance: Lead the implementation of the data governance blueprint, including the operating model, defining roles (data owners and stewards), establishing policies and standards, and facilitating and sustaining governance forums.
• Change Management: Own and execute the comprehensive change management plan, covering stakeholder engagement, communications, user adoption, and the transition to the target operating model.
• Data Leadership: Drive the data leadership and data literacy agenda to foster a mature, data-driven organizational culture and build internal capabilities.
• Stakeholder Partnership: Collaborate directly with business and functional leaders to capture requirements, prioritize data use cases, and secure organizational buy-in.
• Executive Alignment: Maintain alignment across executive sponsors, the Data Architect, and change program leads regarding project scope, priorities, risks, and milestones.
• Technical Alignment: Ensure all governance processes and adoption strategies are technically grounded by maintaining a strong baseline understanding of the deployed data platforms and architecture.
• Artifact Ownership: Author and quality-assure core strategic artifacts, including governance blueprints, operating models, and change plans tailored for executive audiences.

Requirements

• Proven track record of leading data governance and/or data management programs within a complex enterprise environment.
• Strong change management capability, with demonstrated experience in stakeholder engagement, communication strategy, and operating-model transitions.
• Proven ability to effectively engage, collaborate with, and influence senior and C-level stakeholders.
• Sound technical literacy regarding data platforms and analytics, enabling close partnership with architects and engineers.
• Exceptional communication and facilitation skills, with a verified ability to translate complex concepts between business and technical audiences.

Nice to have

• Experience in manufacturing or industrial enterprise environments.
• Background in large-scale data or digital transformation programs.
• Familiarity with Azure, Snowflake, and modern cloud data platforms.
• Experience contributing to executive-level strategy reports and board-level materials.
• Consulting or principal-level advisory experience in global organizations.

What You’ll Own

• Build production systems for AI-driven vulnerability research and exploit development.
• Develop tooling for vulnerability discovery, triage, reproduction, and validation at scale.
• Work across OS internals, binaries, runtimes, kernels, dynamic analysis, instrumentation, and low-level performance.
• Partner with vulnerability researchers, security operators, and engineers to automate manual cyber workflows.
• Own problems end-to-end, from research and design to shipped production code.

Requirements

• 2+ years of vulnerability research, offensive security, or low-level engineering experience. Exceptional new grads with strong CTF, systems, or exploitation work will be considered.
• Hands-on experience with reverse engineering, binary analysis, exploit development, fuzzing, dynamic analysis, bug hunting, CTFs, or comparable low-level security work.
• Deep low-level systems fluency, including OS internals, kernels, runtimes, memory corruption, debugging, dynamic instrumentation, or performance-sensitive systems.
• Strong builder mindset and ability to ship reliable tools and production systems.
• Comfortable working in ambiguity and moving fast.
• Willing to relocate to Washington DC after an initial period, with full relocation support. The role is expected to be in-office 5 days per week.

Nice to Have

• Strong CTF background, especially pwn, rev, kernel, browser, or systems-heavy challenges.
• Published vulnerability research, CVEs, exploit writeups, or security talks.
• Experience with fuzzing, symbolic execution, emulation, program analysis, or binary rewriting.
• Open-source contributions to low-level security, reversing, debugging, tracing, fuzzing, or OS tooling.
• Exposure to ML / AI systems, especially applied to code, binaries, security automation, or program analysis.
• Early-stage startup, founder, or early-engineer experience.

What We Look For

• Strong vulnerability research instincts.
• Low-level technical depth.
• Builder mindset — able to turn research workflows into scalable systems.
• Comfort with ambiguity, speed, and high ownership.
• Motivation to help build a category-defining company in AI-native offensive cyber.

Olive Green Technologies is a small R&D bureau with Scandinavian roots and Ukrainian soul.

We are fully funded and hire only experienced engineers and technicians.

Твої задачі:

• Розробка додатків керування БПЛА
• Реверс-інжиніринг драйверів та додатків
• Розробка комунікаційних додатків для обробки та маршрутизації даних (802.11, Wi-Fi, LoRa, LTE)
• Розробка та патчинг драйверів для взаємодії з периферією БПЛА
• Компіляція, інтеграція та тестування складних проєктів з відкритим кодом
• Відлагодження та оптимізація драйверів і додатків

Ми чекаємо:

• Володіння мовами С, С++, Rust
• Досвід розробки під Linux (user/kernel space, драйвери)
• Досвід розробки багатопроцесорних і багатопотокових систем реального часу
• Досвід проектування та розробки механізмів зв’язку, інтерфейсів і протоколів
• Досвід роботи з системами побудови вбудованих дистрибутивів (Yocto, Buildroot)

Круто, якщо:

• Маєш технічну освіту
• Вмієш читати електричні схеми
• Маєш досвід розробки завантажувачів: u-boot, barebox, специфічні завантажувальні додатки
• Знаєш внутрішньої архітектури Linux
• Вмієш виконувати налагодження на рівні системи
• Маєш досвід роботи над апаратними проєктами

Ми пропонуємо:

• Заробітну зарплату вище ринку
• Роботу в справжній R&D-команді над інноваційним українським продуктом з повним циклом розробки — а не просто складанням модулів як конструктор
• Можливість увійти до core-команди на ранньому етапі стартапу — саме з цього складу буде формуватись структура майбутньої компанії
• Додаткова мотивація (опціони та інші бонуси)
• Невелику, гнучку команду — рішення приймаються швидко, думка кожного має вагу.

Відповідальності

• Повне управління напрямком media buying (стратегія, execution, масштаб)
• Побудова та розвиток команди баєрів (junior → senior → team leads)
• Масштабування Facebook traffic з фокусом на стабільний ROI
• Контроль бюджетів ($50k+ / день), маржинальності та LTV
• Побудова системи тестування креативів, офферів та воронок
• Впровадження процесів: SOP, KPI, спринти, дейлі, ревʼю
• Робота з антибан-системами: акаунти, фарм, проксі, домени, клоака
• Співпраця з продуктом, дизайном, аналітикою та технічною командою
• Оптимізація трекінгу (Keitaro, FB CAPI, events, postbacks)
• Відповідальність за P&L media buying відділу

Вимоги

• 3+ роки досвіду в media buying (Facebook обов’язково)
• 1+ рік досвіду управління командою (5+ баєрів)
• Практичний досвід у gambling / dating 
• Розуміння фарму акаунтів, агентських акаунтів, BM, платежів
• Сильна аналітика: ROI, CPA, EPC, LTV, retention
• Досвід масштабування з $1k → $20k+ на день
• Вміння будувати систему, а не тільки лити самому

Буде плюсом

• Досвід побудови media buying з нуля
• Робота з автоматизаціями (rules, scripts, AI)
• Досвід у Tier-1 / Tier-2 GEO (US, EU)

Ми пропонуємо

• Фікс + % від прибутку (без верхньої стелі)
• Повний контроль над напрямком і бюджетами
• Сильну інфраструктуру (акаунти, трекінг, тех, креативи)
• Вплив на стратегічні рішення компанії

🔵Від кандидата:

• Досвід роботи від 1 року на позиції Media Buyer у Dating вертикалі
• Досвід роботи з різними моделями CPA, CPC, CPM, CPI;
• Досвід роботи з партнерками/рекламодавцями
• Досвід залучення трафіку Facebook
• Вміння працювати з великими бюджетами
• Досвід Роботи по Тієр 1
• Уміння аналізувати Гео, пошук потрібної ца, вміння знайти болі і потреби ца
• Уміння аналізувати зв'язки, за критеріями CPC CPM CPL
• Бажання лити і заробляти 

Обов'язки :

• Запускати рекламні кампанії в Facebook 
• Тестування різних підходів заливу
• Чітка постановка ТЗ технічному відділу, дизайнерам
• Аналіз та підготовка звітів ефективності роботи команди
• Пошук ефективних зв’язок разом з командою

Від нас : 

• Віддалена робота
• Можливості професійного і кар’єрного росту
• Зарплата в USD
• 20 днів відпустки + 100% оплачувані лікарняні (до 5 днів).
• Найвищий відсоток на ринку
• Гнучкий початок робочого дня
• Молода, амбіційна команда зі спільними інтересами.