Jobs

🚀We are looking for a Senior Kubernetes Platform Engineer to join a high-priority project with an ASAP start.

As a Senior Kubernetes Platform Engineer, you will be responsible for designing, building, and operating production-grade Kubernetes platforms that support business-critical applications. You'll work in a small, highly skilled engineering team alongside a Platform Architect, Technical Project Manager, and DevOps Engineers, contributing both to day-to-day platform operations and long-term architectural decisions.

Location

• Remote.
• Preferebly based in Germany But also open to candidates located anywhere within the European Union.

Contract

• Full-time.
• 2-month contract.

• Immediate availability is highly preferred.

   

🎯 Responsibilities

• Build, maintain, and improve enterprise Kubernetes platforms in production environments.
• Manage Kubernetes clusters, ensuring high availability, scalability, and reliability.
• Design and automate infrastructure using Infrastructure as Code practices.
• Develop and maintain CI/CD pipelines and GitOps workflows.
• Implement secure, scalable, and resilient platform solutions.
• Monitor platform health, performance, and observability using industry-standard tools.
• Participate in platform architecture discussions and technical decision-making.
• Produce high-quality technical documentation, runbooks, and operational guidelines.
• Collaborate effectively with cross-functional and international teams.

🧩 Required Skills & Experience

• Several years of experience in DevOps, Platform Engineering, or Infrastructure Engineering.
• At least 5 year of daily hands-on production experience with Kubernetes, including:
  • Cluster lifecycle management
  • Ingress Controllers
  • Service Mesh
  • cert-manager
• Strong experience with:
  • Terraform
  • Helm (or Kustomize)
  • CI/CD pipelines
  • GitOps, preferably ArgoCD
• Proficiency in Go, Python, or Bash for automation and platform tooling.
• Solid experience with:
  • Prometheus
  • Grafana
  • OpenTelemetry
  • Designing and implementing SLI/SLO frameworks
• Strong understanding of platform security best practices and compliance requirements.
• Experience working in cross-functional, multinational engineering teams.
• Strong written and spoken English (B2+/Upper-Intermediate or higher).

🧩Nice to Have

• Kubernetes certifications (CKA, CKAD, or CKS).
• Experience with AWS, Azure, or GCP.
• OpenShift or OKD.
• Multi-cluster Kubernetes environments.
• Ansible.
• Kubernetes Operators.
• Operator SDK or Kubebuilder.
• Longhorn or other Kubernetes-native storage solutions.
• OVN-Kubernetes networking.
• Experience writing ADRs, runbooks, and platform design documentation.

We're looking for a senior-level engineer with deep expertise in Kubernetes platform engineering and production infrastructure. The ideal candidate is comfortable taking ownership of complex platform challenges, contributing to architecture decisions, driving automation initiatives, and collaborating effectively within international teams.

Interview Process

1. HR Interview
2. Technical Interview
3. Final Interview (including a practical use case/task)

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

N-iX is looking for Senior-Lead DevSecOps Engineer (Azure, Terraform, Sentinel)

Over 1.5 million customers and more than a billion people in over 180 countries use Customer solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Client unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using our product companies can create, commit, and manage agreements.

We are seeking a skilled and motivated engineer to join our Threat Detection Engineering team for an Infrastructure-as-Code migration initiative. Reporting to the Manager of Threat Detection Engineering, you will be responsible for the migration of Microsoft Sentinel and associated Azure resources that power our threat detection capabilities to Infrastructure-as-Code (Terraform). This role requires a strong software engineering, DevOps, and cloud engineering foundation and a focus on system reliability.

Team Overview:

Security Operations, comprising Threat Intel, Detection Engineering, and CSIRT, identifies and mitigates threats through detection building, alert analysis, and forensic investigations. We are proactive, engineering-oriented, intent-driven problem-solvers dedicated to securing the business. We prioritize trust, safeguarding customer data, and platform integrity. Our dynamic and global team innovates at speed with cutting-edge tech, fostering continuous improvement and proactive defense against evolving threats. 

Detection Engineering forms the backbone of our data platform and detection operations, designing and engineering the pipeline and developing code and detections to provide for its efficacy. This pipeline powers our software engineering-based monitoring service, enabling the identification of relevant threats and delivering actionable alerts to the CSIRT for effective response.

Responsibility:

• Transition the configuration of existing Microsoft Sentinel and Azure resources (used to collect, process, and ingest security telemetry) to Infrastructure-as-Code (Terraform).
• Build, automate, and manage Azure resource configuration leveraging GitHub and Azure DevOps (ADO) pipelines.
• Demonstrate software engineering principles throughout the migration lifecycle, including using version control, automated testing, and continuous integration/continuous deployment (CI/CD) pipelines to eliminate breaking changes and false negatives.
• Partner effectively with the Threat Detection Engineering team to establish repeatable, scalable documentation around automated infrastructure deployment.
• Clearly and concisely communicate technical security concepts, infrastructure findings, and migration status updates to both technical and non-technical stakeholders.

Requirements

Basic:

• 6+ years of progressive experience in Software Engineering, DevOps, Cloud Engineering, or Cybersecurity, with at least 2+ years explicitly focused on Infrastructure-as-Code automation (Terraform) and provisioning cloud platform environments.
• Direct, hands-on proficiency building, managing, and maintaining secure continuous integration and continuous deployment (CI/CD) pipelines within both GitHub and Azure DevOps (ADO).
• Deep technical expertise in provisioning and managing cloud infrastructure using Terraform, including state file management, modular development, and executing zero-downtime refactoring.
• Direct experience configuring and optimizing Microsoft Sentinel SIEM environments, with a specific focus on deploying the associated Azure resources used for security log collection and ingestion via code.
• Highly proficient in programming languages like Python or Go, alongside scripting tools (e.g., PowerShell, Bash), specifically tailored for system automation, cloud platform interactions, and custom API integrations.
• Demonstrated ability to author clean, comprehensive engineering documentation, including architectural mappings of cloud deployments and exhaustive inventory tracking of resources maintained under Terraform management.

Preferred:

• Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field ; advanced security or cloud engineering certifications (e.g., Microsoft Certified: DevOps Engineer Expert, Azure Security Engineer Associate, or HashiCorp Certified: Terraform Associate are a distinct advantage.
• Experience managing large-scale infrastructure deployments across complex, multi-tenant cloud environments.
• Strong foundational background in security-focused software engineering, DevSecOps, or automation-heavy system architecture.
• Proven history of collaborating effectively across engineering, infrastructure, and security operations teams to drive architectural excellence.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

About the Role:

We are looking for an experienced AI Transformation Lead to drive the adoption of Generative AI across our global organization. This is a strategic, cross-functional role focused on helping business and technology teams integrate AI into their daily workflows, improve productivity, and establish AI best practices.

This is not a Machine Learning or AI Engineering role. Instead, you will be responsible for identifying opportunities where AI can create business value, introducing modern AI tools and workflows, enabling teams through training and best practices, and embedding AI into everyday operations.

Key Responsibilities:

• Drive company-wide AI adoption initiatives across business and technology teams.
• Identify opportunities to improve business processes through AI-powered solutions.
• Evaluate, recommend, and implement modern AI tools and workflows.
• Develop AI best practices, prompting standards, governance, and usage guidelines.
• Deliver AI training sessions, workshops, and enablement programs.
• Partner with Functional Architects, Software Engineers, QA, DevOps, Project Managers, and Customer Support teams to maximize AI adoption.
• Continuously monitor emerging AI technologies and recommend innovative solutions.

• Measure AI adoption, business impact, and continuously optimize AI-enabled processes.

   

How You Will Make an Impact:

You will help different teams leverage AI to improve efficiency and quality, including:

Functional Architecture

• User Stories
• Functional Specifications
• Business Documentation
• User Manuals

Software Engineering

• AI-assisted code generation
• Code reviews
• Refactoring
• Documentation
• Architectural guidance

Quality Assurance

• Test case generation
• Regression test suites
• Test data generation
• Test automation improvements

DevOps

• Infrastructure scripting
• Deployment automation
• Monitoring and troubleshooting
• Operational runbooks

Project Management

• Meeting summaries
• Project planning
• Status reporting
• Action tracking

Customer Support

• Knowledge base creation
• Troubleshooting guides

• Customer communications

   

What We’re Looking For:

• Proven experience leading AI adoption, digital transformation, or process improvement initiatives.
• Strong understanding of Generative AI technologies and their practical business applications.
• Hands-on experience with AI productivity tools such as ChatGPT, Microsoft Copilot, GitHub Copilot, Claude, Gemini, Cursor, Perplexity, or similar platforms.
• Ability to identify automation opportunities and translate AI capabilities into practical business solutions.
• Experience designing AI-enabled workflows across multiple business functions.
• Excellent communication, facilitation, and stakeholder management skills.
• Strong understanding of Software Development Life Cycle (SDLC), Agile methodologies, and modern software engineering practices.

• Experience collaborating with cross-functional teams in technology-driven environments.

   

Nice to Have:

• Background in Software Engineering, Solution Architecture, Engineering Management, Technical Consulting, or Digital Transformation.
• Experience implementing enterprise AI initiatives.
• Experience developing AI governance frameworks and responsible AI practices.

• Familiarity with Microsoft 365, Atlassian, Google Workspace, or similar enterprise collaboration platforms.

   

If you are passionate about helping organizations transform the way they work through AI, we would love to hear from you.

Must-Have Skills

• 5+ years of experience as a Cybersecurity Researcher (supply-chain attacks, malware analysis)
• Familiarity with open-source registry ecosystems (npm, PyPI, Maven) and their respective attack surfaces
• Proven ability to ship software in a production environment
• Strong understanding of the SDLC and modern CI/CD pipelines
• Comfortable leveraging AI tools to optimize research and development processes
• Proactive and independent mindset, with the ability to take full ownership of projects

Nice to Have

• Active contributions to open-source security tools or research projects
• Hands-on experience with decompilers, debuggers, and network traffic analysis
• Advanced malware analysis experience (obfuscation, encryption, anti-analysis, and sandbox-evasion techniques)
• Web application penetration testing experience
• Published CVEs, coordinated disclosures, writeups, blogs, or research papers
• Experience public speaking at major industry conferences (e.g., Black Hat, DEFCON, RSAC)
• A genuine passion for cybersecurity, open-source communities, and solving complex ecosystem threats

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.

The product we are working on is one of TOP-3 navigation systems, complex web-services and other solutions related to it. The web and mobile apps handle information at massive scale and extend well beyond the search giving people and companies a lot of new useful options.
 

Responsibilities:

• Analyzing requirements for new product features and services
• Hands-on development based on the requirements
• Covering the code with unit tests
• Improving existing software and fixing bugs
• Creating and maintaining code documentation

• Communicating with stakeholders and distributed teams of the product

   

Requirements:

• Location in Warsaw (Office-based role in Warsaw).
• 6+ years of hands-on work experience as a Fullstack/Frontend developer
• Hands-on experience in implementing pixel-perfect designs over HTML/CSS
• Strong JavaScript and TypeScript skills
• Hands-on experience with more than one leading frontend framework (our focus is React, but it’s preferred you also have experience with either Angular, Vue, Ember.js, Polymer, etc)
• Strong hands-on skills with frontend toolkits (Gulp, Webpack, Karma, Jasmine, etc.)
• Experience with distributed version control systems (Git, Mercurial, Fossil, etc.)
• Upper-Intermediate English skills, or higher (both written and spoken)
• Experience in working in a Linux-based server environment
• Ability to learn new technologies

• Passion for products and users

   

Nice to have:

• Experience with at least one dynamic language implementation of a backend technology (Node.js, Python, Ruby)
• Experience with compiled, statically typed server technologies (Java, Go)
• Experience in ES6, TypeScript, CoffeeScript, React, and Redux.
• Experience with building, maintaining, and optimizing responsive web apps
• Hands-on experience in cloud technologies
• Experience developing high-load/high-traffic user-facing software
• Hands-on experience in writing unit tests
• Solid Linux/Unix skills
• Experience with mobile-specific sites, and mobile-web/native app integrations
• Experience in setting up and continuous improvement of the dev environment
• Experience in setting up and continuous improvement of a multi-stage production environment
• Experience working on a distributed team (not all in one physical location)

• Open source contributions

   

We offer:

• Opportunities to develop in various areas;
• Compensation package (20 paid vacation days, paid sick leave);
• Flexible working hours;
• Medical Insurance;
• English courses with a native speaker, yoga (Zoom);
• Paid tech training and other activities for professional growth;
• Office-based role (5 days in the office);
• International business trips

• Comfortable office.

   

If your qualifications and experience match the requirements of the position, our recruitment team will reach out to you in a week maximum. Please rest assured that we carefully consider each candidate, but due to the amount of applications the review and further processing of your candidacy may take some time.

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.

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed.

Now we are looking for a Software Development Engineer (MLOps) to join us as part of our team.

About the role

As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems.

About the project

PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more.

Team composition

1 Engineering Manager, 4 Senior ML Ops Engineers

Work Environment

The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology.

As a qualified expert, You will

• Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation.
• Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment.
• Provide mentorship, technical guidance, and perform code reviews for team members.
• Design and deliver on projects end-to-end with little to no guidance.
• Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC.
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities.
• Support the vision and values of the company through role modeling and encouraging desired behaviors.
• Participate in various cross-functional company initiatives and projects as requested.
• Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value.
• Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance.

We’re looking for you if you have

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
• 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
• 4+ years of experience designing and building distributed software systems and architectures.
• 3+ years of hands-on experience deploying and operating Machine Learning services in production.
• Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
• Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
• Demonstrated experience with SQL and NoSQL database design and implementation.
• Ability to decompose complex problems into iterative, well-defined solutions.
• Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
• Ability to be a team player who can also work independently.
• Experience working across multiple development teams is a plus.

Desired Skills

• Experience with cloud platforms (AWS, Google Cloud Platform, or Azure).
• Proficiency in GitOps practices and CI/CD pipeline development and management.
• Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems.
• LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock).
• LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar).
• Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector).
• RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance.
• Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML
• Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn
• Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka.
• ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow.
• API development with FastAPI or similar frameworks.
• Java programming experience is a plus.

Interview Process

1. Pre-Screening with the recruiter
2. Tech Interview(ML Fundamentals, Software Engineering) + Live Coding (up to 1,5 hours)
3. ML System Design Interview (up to 60 min)
4. Interview with Engineering Manager (60 min)
5. Final Client Interview (60 min)

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.

Ready to level up your career? 

Playtech's GPAS unit is looking for an experienced Scala Developer with excellent engineering skills.

Your influential mission. You will...  

• Participate in software design, development, refactoring, support, and code reviews to maintain high development standards.
• Collaborate with platform teams to deliver great results.
• Work autonomously on your tasks with little or no supervision.
• Optimize the platform to achieve maximum throughput and scalability.
• Be proactive and go beyond expectations.

Components for success. You...

• Bring at least 3 years of hands-on experience developing server-side applications in Scala.
• Have a strong working knowledge of Scala (preferably Scala 3) and SBT (Scala Build Tool).
• Demonstrate solid experience with Pekko/Akka, including HTTP, Actors, Cluster, Persistence, Streams, and connectors.
• Possess a strong understanding of the JVM, data structures, and algorithms.
• Exhibit excellent knowledge of parallel and concurrent programming principles.
• Have practical experience building high-scale, distributed systems with complex interfaces and integrations.
• Think like an engineer - taking ownership, driving solutions forward, and continuously improving systems and processes.
• Demonstrate exceptional problem-solving skills and critical thinking.
• Show a willingness to document solutions and actively share knowledge with colleagues.

• Communicate clearly and effectively in English.

   

You'll get extra points for...

• Previous experience in the iGaming domain.
• Experience working with Typesafe Config.
• Hands-on experience with Couchbase or other document-based NoSQL databases.
• Familiarity with AWS services such as S3 and DynamoDB.
• Experience using Play JSON.
• Proficiency with ScalaTest for testing.
• Experience with containerization and orchestration tools such as Docker, Nomad, or Kubernetes.
• Confidence working in Linux environments.

Thrive in a culture that values...   

• A friendly, cooperative, and goal-oriented team of experienced professionals.
• Clear goals and a results-driven environment.
• Open communication, knowledge sharing, and mutual support across teams.
• Initiative-taking and a confident approach at the workplace.
• Collaborative and supportive culture as well as stable long-term career opportunities.
• Global scope and inclusive working environment where you can engage with diverse teams and perspectives.
• Constant learning and development opportunities and professional growth programs.

• An active lifestyle and mental well-being supported through sports classes, master classes, and monthly well-being activities.

   

GPAS UNIT

We invite an experienced Scala Developer to become a part of Playtech as a new member of the GPAS product team. Gaming Platform as a Service aka GPAS is Playtech’s exclusive distributed games delivery platform that currently has more than 1000 games running on it. GPAS is a highly accessible, multi-tenant, scalable, distributed and event-driven system written in Scala with the help of the Akka framework. We use Couchbase as a hot storage and AWS S3/DynamoDB as our cold storage to ensure we can handle nearly a billion transactions per day. We have a complex solution that provides capabilities to run various types of online casino games. We adopt Scrum methodology to deliver new features on time.

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.

At ZentixSoft, we follow the “People over processes” principle. We believe that empowering top-tier talent is the only way to build world-class software.

Currently, we are strengthening a Core Engineering team for one of our strategic enterprise partners in the Banking and Financial Services sector. We are looking for an experienced Automation QA team of three consultants to establish a robust automation environment, define the QA strategy, and drive quality across a long-term enterprise initiative.

 Note: This is an Outstaffing engagement. The selected consultants will be integrated into the client’s engineering organization and work as part of a long-term initiative.

 Team Composition

- 1 × Senior Automation QA Engineer / QA Team Lead
- 2 × Mid-level Automation QA Engineers.

Mandatory Requirements

- All consultants must be based in Germany
- Fluent German is mandatory and will be the primary working language
- Upper-Intermediate English or higher
- Strong experience in Banking or Financial Services
- Experience working in regulated environments

 Required Team Experience

- Building greenfield Automation QA environments from scratch
- Establishing quality metrics, reporting, and test coverage
- API, Integration, Contract, and End-to-End Testing
- Experience with synthetic test data is a strong advantage
 

 Technical Stack

- Cypress
- REST Assured
- Contract Testing
- API Testing
- BrowserStack

Technology Environment

- Backend: Java with Spring Boot, Node.js
- Frontend: Angular
- Mobile: Flutter
- Cloud: AWS Lambda, ECS, API Gateway, Aurora, DynamoDB, SQS, SNS
- CI/CD: GitHub Actions, AWS CodePipeline, CodeBuild, CDK
- Data Platform: Databricks
- Tools: Jira, Confluence, SonarQube

Logistics & Start

🚀 Start: ASAP  
📅 Duration: 5–6 months, with a strong possibility of extension  
🌍 Location: Mostly remote, with occasional on-site presence in Germany for kickoff meetings and workshops  
🗣️ Language Proficiency: Fluent German and Upper-Intermediate English or higher