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Newmindstart is an international edtech company in the health and conscious living space, operating across the US, UK, and Europe. They create courses focused on physical health, movement, and mental well-being, aiming to improve people's lives. The company manages a $1M+ monthly ad budget, has achieved 2–3x revenue growth over the past year, and plans to triple ad spend again this year. They offer 300+ courses, a strong Meta channel, direct-response funnels, solid unit economics, and a high-performing team. Their goal is to become a top-5 global wellness edtech company within the next few years. What you’ll get: Scale — manage $1M+/month in ad spend with a clear path to $10M/month. Ownership & autonomy — full control over product categories, course portfolios, P&L, and new verticals. Speed — no bureaucracy with fast decision-making. Remote-first — work from anywhere with an international contract. Team — a highly capable, fast-moving team with strong collaboration. Growth — access to top-tier tools (ads & AI), education budget, and expert consultations. Responsibilities: — Own revenue targets across all acquisition channels — Manage and scale $1M+/month ad budget (Meta, Google/YouTube, TikTok, etc.) — Scale what works, cut what doesn’t, and build what’s missing — Optimize funnels: offers, landing pages, creatives, testing, conversion — Lead the team: media buyers, creative producers, external partners — Launch and manage new product categories: hypothesis → launch → P&L ownership Who we’re looking for: — CMO / Head of Growth / Performance Lead with direct revenue ownership — Experience managing $10K+/day budgets across Meta, Google/YouTube, TikTok — Strong background in direct-response funnels (landing purchase / subscription flows) — Experience in edtech, wellness, subscriptions, or e-commerce on international markets — Data-driven mindset: CAC, LTV, ROMI are daily tools — Hands-on approach — not just managing, but executing — Actively using AI tools in daily workflows — English level: B2–C1 How to apply: A cover letter is required. Please include your strongest case: channel, budget scale, impact on revenue, key metrics, and growth dynamics, and what you would analyze first in their business model to identify the main growth lever.

Location: Iasi, Romania Workplace: on-site We are looking for a Senior Legal Advisor to join our team and support the legal activities of our international group. This is a diverse role for a legal professional who enjoys working across corporate and commercial law, contract management, regulatory matters, and legal advisory. You will collaborate closely with internal teams, international stakeholders, external legal partners, public institutions, suppliers, and business partners to provide practical, business-focused legal support. Key Responsibilities: Legal Advisory & Contract Management Review, analyze, negotiate, and validate various types of contracts with suppliers and partners across the group Draft legal opinions and provide guidance on contractual and regulatory matters Identify and assess legal and contractual risks and provide practical recommendations Formulate objections to contractual proposals when necessary and respond to counterparties’ comments Corporate & Regulatory Activities Manage corporate documentation and statutory modifications for companies within the group Support company incorporations, restructurings, and other administrative procedures Coordinate and follow up on corporate and regulatory requirements Represent and liaise with the company in relation to authorities, public institutions, and external stakeholders External Partnerships & Litigation Coordination Maintain strong working relationships with external law firms and legal advisors Coordinate with external legal partners on litigation matters, corporate projects, authorizations, and special contracts Support the selection and assessment of new external legal partners when required Ensure effective communication and follow-up with external counsel Legal Analysis & Reporting Compile, analyze, and structure legal information to support business decision-making Prepare legal reports, summaries, opinions, and other documentation related to legal activities Monitor ongoing legal matters, actions, and deadlines and ensure appropriate follow-up Provide clear and practical legal input to internal stakeholders Candidate Profile Education & Experience Bachelor’s or master’s degree in law Minimum 5 years of professional experience in a legal advisory role Experience in business law, corporate law, commercial law, or an international legal environment is an advantage Advanced English, both written and spoken; advanced French is a plus Availability and willingness to undertake international business travel as required. Technical & Professional Skills Strong knowledge of legal regulations and contract law Solid understanding of corporate and commercial legal matters Strong ability to analyze and interpret legal texts and contractual documentation Excellent legal drafting and reviewing skills Ability to identify, assess, and manage legal risks Good command of Microsoft Office tools Key Competencies Strong analytical and problem-solving skills Excellent attention to detail and ability to synthesize complex information Strong organizational skills and ability to prioritize multiple tasks and deadlines Practical, business-oriented approach to legal matters Sound judgment and ability to balance business objectives with legal risks Excellent communication, negotiation, and stakeholder-management skills Ability to work independently while collaborating effectively with international teams Proactive, structured, and results-oriented approach Adaptability and ability to operate effectively in a fast-paced, multicultural environment What We Offer An international and multicultural working environment Initial training and continuous learning opportunities Exposure to a broad range of legal areas, including corporate, commercial, employment/social law, GDPR, and regulatory matters Collaboration with international stakeholders, business teams, public institutions, and external legal partners The opportunity to develop your legal expertise across different areas and contribute directly to the activities of an international group Interested in joining us? If you are a business-minded legal professional looking for a dynamic role with international exposure, we would love to hear from you. Apply now and become part of our international team!

Location: Stockholm We're looking for a Senior AI Engineer to join our Data Center of Excellence ( CoE ) team at Betsson Group. You'll design, build, and deploy AI and agentic solutions with real business impact, from LLM-driven pipelines to intelligent automation, while helping shape our technical direction. If you're passionate about applied AI and enjoy turning emerging research into production-grade systems, we'd love to hear from you! The Wow You'll be at the forefront of AI innovation in iGaming - a space where cutting-edge technology meets real-time, high-stakes decision-making. As part of our Data CoE , you'll take ownership of complex AI initiatives end-to-end, from architecture to deployment, working closely with stakeholders to translate business needs into production-grade solutions. You'll have the autonomy to solve hard problems independently, the platform to influence how AI is adopted across the business, and the opportunity to share your expertise with the wider team. A taster of what you will be involved with: Expect to independently design, build, and deploy LLM-powered pipelines and autonomous agents that solve real operational challenges from intelligent automation to advanced retrieval systems. You'll work closely with stakeholders to scope and deliver solutions, get hands-on with frameworks like LangChain , and help set best practices around MLOps and production-grade AI. You'll also have opportunities to mentor developers and contribute to internal knowledge-sharing as part of a well-rounded senior role. What we are looking for: The ideal candidate must have the following: BSc/MSc in CS, AI/ML, Data Science, or related field 3+ years industry experience designing, building and deploying Generative AI solutions Strong proficiency in Python Hands-on experience with agentic frameworks (LangChain, LangGraph, Strands or equivalent) Solid foundations in deep learning and foundation models Experience integrating and orchestrating LLM-based pipelines end-to-end Ability to lead technical discussions, mentor junior/mid developers, and deliver internal knowledge sessions Familiarity with LLMOps (CI/CD pipelines, model hosting, evaluation, production monitoring) Good knowledge of RAG pipelines The following are preferred but not required : Familiarity with cloud AI services (AWS Bedrock, Azure Open AI) Experience with fine-tuning LLMs (LoRA, QLoRA) Experience in building advanced knowledge retrieval systems including Knowledge Graphs and Context Graphs Previous experience in iGaming industry What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Hardware Test Engineer to own the test methodology for HMND‑01’s hardware components, robot subsystems, and complete humanoid robots. You will be the engineer who decides what “good” looks like — from a single actuator on the bench to a full robot walking through an integration sequence. This is a hands-on, technical leadership role. You will design test methods, run them yourself on early prototypes, and partner closely with the test automation team, Manufacturing Engineering, Production Operations, and Supply Chain Quality as we move from EVT toward production. You’ll be the hardware voice that shapes what gets measured on the line, at what tolerance, and why — without owning the QC routine or rig build, which sit with Production Ops Quality and Manufacturing Engineering respectively. KEY RESPONSIBILITIES 1. TEST METHOD DEFINITION - Component-Level Methods: Define functional, performance, and stress tests for individual hardware components — actuators, sensors, electronics, structural parts — including pass/fail criteria and required data capture. - Subsystem Testing: Design integration tests for major robot subsystems (arms, hands, legs, torso, head) covering kinematic accuracy, repeatability, load behavior, and thermal response. - Whole-Robot Testing: Define and execute system-level tests for full robot assemblies, including end-to-end motion sequences, balance, manipulation tasks, and failure-mode behavior. 2. HANDS-ON TEST EXECUTION - Prototype Bring-up: Be the first engineer to put hands on each new hardware revision, characterizing performance against design intent and feeding findings back to the design team. - Failure Analysis: Investigate failures during testing, work with hardware engineers to root-cause issues, and verify fixes. - Test Documentation: Capture methods, results, and learnings in a way that the rest of the organization can repeat and trust. 3. AUTOMATION SUPPORT - Test Automation Inputs: Translate manual test methods into specifications for the automation team. Decide which tests can be automated and which must remain manual, and why. - Tooling: Specify and prototype custom test fixtures, jigs, and instrumentation needed to execute your methods reliably during prototype and bring-up work. - Data: Define what each test must capture so that automated runs produce results comparable to your manual baseline. 4. PRODUCTION TEST — IN PARTNERSHIP WITH MANUFACTURING ENGINEERING AND PRODUCTION OPS - Requirements for Line Rigs & Jigs: Provide the technical requirements for production test jigs, fixtures, and test beds — what they measure, at what tolerance, what data they need to capture, and the pass/fail criteria. Manufacturing Engineering owns rig design, build, and commissioning; you review designs and sign off on whether they actually verify what they’re meant to verify. - In-Process Verification: Define the checks at each stage of assembly that confirm components and sub-assemblies have been built correctly before they move to the next station, including required measurements and rework paths for failures. - Test Evidence & Traceability: Define what each production test must capture so that results, measurements, and pass/fail outcomes are written to the production database, linked to the serial number of the unit under test — every shipped robot has a complete and queryable build and test history. - System-Level Acceptance: Define final-product acceptance tests — performance envelopes, functional gates, and sign-off criteria for a robot leaving the line. 5. QUALITY & DESIGN FEEDBACK LOOP — IN PARTNERSHIP WITH SUPPLY CHAIN QUALITY AND PRODUCTION OPS QUALITY - Component Performance Characteristics: Define the system-level performance characteristics that incoming parts must meet. Supply Chain Quality translates these into incoming inspection criteria and supplier qualification plans, and runs the inspection process. - Root-Cause Partnership: Partner with Production Ops Quality on root-cause analysis when line failures trace back to component behavior or system design, and feed findings back into engineering. - Closed Loop with Design: Treat test data as a closed loop with design — surface trends from production into design reviews so the product gets better, not just the process. QUALIFICATIONS Must-Have: - Experience: 5+ years in hardware test engineering, with hands-on testing of complex electromechanical systems — robotics, automotive, aerospace, or similar. - Test Methodology: Strong grasp of test theory, test design, and pass/fail criteria definition. You can write a test spec that another engineer can execute without follow-up questions. - Mechanical: Solid understanding of mechanical design principles, common core components (gears, bearings, actuators), measurement tools (calipers, micrometers, load cells, encoders), and technical drawings including GD&T basics. - Electrical: Comfortable reading schematics, using a multimeter and oscilloscope, and reasoning about basic power and signal integrity. - Production Fluency: Familiarity with hardware production operations — flow, takt, work instructions, traveler documentation — enough to collaborate effectively with Manufacturing Engineering and Production Ops without trying to own their work. - Tooling: Experience with test and task tracking systems (Jira, X-Ray, TestRail, or similar). - Matrix Operating Style: Comfortable influencing test stations, rigs, and equipment design through clear requirements and tight partnership, not through ownership. - Mindset: Systems thinking — you naturally see how a problem at the component level can manifest as a behavior at the full-robot level. Nice-to-Have: - Robotics experience, especially with serial-link manipulators or legged systems. - Hands-on test rig and fixture design experience (mechanical and/or electrical) — useful for speaking the same language as Manufacturing Engineering on rig requirements. - Python (or similar) for ad-hoc data analysis and lightweight test automation. - CAD (SolidWorks/Fusion/NX) for sketching test fixtures. - Familiarity with ROS2. - Experience with embedded systems and field buses such as CAN or EtherCAT. - Experience with industrial automation equipment (servos, gateways, sensors, PLCs). - Knowledge of statistical quality control fundamentals (SPC, MSA) — for working effectively with Quality on test data interpretation. WHAT YOU'LL BE TESTING - Actuators (motors, gearboxes, encoders, drivers) - Robot manipulators and end-effectors - Legged subsystems and balance behaviors - Power and battery systems - Full humanoid robot assemblies WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: San Francisco Bay Area, California; New York City Metropolitan Area Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. We embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) — people who learn the work, ship the system, and own the outcome. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Bluprints. You will do the customer’s job before you automate it. Most AI engagements fail the same way: someone gathers requirements, someone writes a PRD, and a team ships a workflow nobody uses. We think the requirements-gathering step is the bug. So we remove it. A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change. You do the job. You learn the constraints from the inside, the ones nobody writes down. Then you sit at a table with that operator and a Forward Deployed Executive and rebuild the function from first principles — and you are the one who builds it. Three things define how you work: Embedded, not engaged . You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Real tasks, not scope . You are not fenced into a siloed deliverable. You go where the operating problem is. Autonomous . Embedded is not staff-augmented. You own the method; nobody hands you a ticket. You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. That loop is the difference between an outcome and an invoice. You’ll be measured on whether the Business Unit’s number moved — not on hours, not on scope delivered. This is a role for engineers who have led before — as a founder, a CTO, a staff engineer — and who want to stay in the code while owning the outcome. On most days you’ll be the most senior technical person in the room, and you’ll still be the one shipping. Requirements: 8+ years building software , a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. You will take the operator’s seat. You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply. You learn domains fast. Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API. Strong hands-on prodcution experience with Claude Code/Cowork. Fluent English, written and spoken. Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution. Real depth in one of our blueprint industries: financial services, insurance, healthcare, asset management . Consulting, professional services, or other embedded customer-facing delivery. Data platform depth: data lakes, warehouses, streaming and real-time analytics, data mesh and data contracts, governance and data quality. MLOps and classical ML: PyTorch, SageMaker, MLflow. Fine-tuning, distillation, or inference/serving optimization. Graph databases (Neo4j, AWS Neptune). IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Take the seat Do the operator’s job for two to four weeks at the start of an engagement. Learn the function from inside, not from a requirements doc. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow — in weeks, not quarters. Sit with the operator and the Forward Deployed Executive and redesign the function from first principles. Discovery, user research, and PRD-writing collapse into one team that re-imagines its own job. You are all three roles. Build Ship production GenAI systems into the customer’s environment — LLM applications, agentic workflows, retrieval and structured-extraction pipelines, and the services around them. Running software, not recommendations. Build the evaluation harness before you build the feature. When the engagement is bound to a business KPI, “it looked good in testing” is not an answer. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — backend services, data pipelines, and the AI layer. Python and TypeScript are our centre of gravity; we choose tools to fit the customer, not the résumé. Take systems to production on AWS (GCP/Azure where the customer requires it): containerized, observable, and maintainable after we leave. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Own the outcome Work in a pair with a Forward Deployed Executive who carries the Business Unit’s KPIs. Your work is measured against the same number. Drive adoption. A system the BU routes around has not shipped. Change management is part of the engineering job here, not a phase after it. Be credible with the customer’s engineers, their operators, and their executives — and be willing to disagree with all three. Shape what we commit to before we commit to it. You’ll have the standing to do it, because you’re the one who will build it. What We Offer: Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare The chance to shape how leading enterprises adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. OTE range: up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. How we hire: Intro conversation — the role, your background, what you want to be doing. Two live engineering sessions. Real problems, your own editor. You may use an LLM assistant (ChatGPT, Claude) — how you work now includes these tools. Autocomplete/agentic coding tools are off for these sessions. The redesign session. We hand you an unfamiliar business function and the constraints of the person who performs it. You have to understand the job well enough to rebuild it — then say what you’d build and how you’d know it worked. No LLMs for this one. Team and practice conversation.

Location: Noida, India Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities The TeamViewer Digital Employee Experience (DEX) platform finds and resolves IT issues before they affect users. Following the acquisition of 1E, we are bringing our core remote connectivity platform and the DEX platform together into one unified product experience. Our team builds the platform services that connect both worlds — covering authentication & authorization federation, user synchronization, and secure service-to-service communication between the platforms. We’re looking for a Senior Software Engineer with strong Java (Spring) and Kotlin expertise to play a key role in designing and building these platform integration services, trusted by large enterprise customers. In this role, you’ll work primarily on our core platform, owning and improving the Java-based services that connect it to the DEX platform. As part of an Agile team, you’ll contribute as an individual contributor, working primarily with Java (Spring) and Kotlin. Your work will power containerized services running on Kubernetes. As the DEX platform is built on .NET, familiarity with C# services is a welcome plus. You will be joining a young, motivated team and will play an active role in mentoring and guiding its members in best practices in software development & Secure SDLC. Develop & enhance platform services that connect our core remote connectivity platform and the DEX platform, in the areas of authentication & authorization federation, user synchronization, and cross-platform service-to-service communication Define the architecture, design and develop new features for our platform services in Java (Spring) and Kotlin Work with identity and access concepts such as token exchange, service principals, user-context authentication, and auditing across platform boundaries Continuously integrate, build and deploy our solution from test system to production Design and implement secure, well-documented APIs based on architecture guidelines and frameworks Design and build common database systems of high availability and quality Optimize and enhance our software with new, efficient algorithms and state-of-the-art software tools and technologies Work independently on solutions for specified requirements and be responsible for complying with time and quality specifications Ensure that our software is secure, stable, scalable and runs efficiently Monitor the latest technical developments in your field and make proposals for improvement Guide and assist other team members in engineering topics relevant for the team Coach & mentor junior members of a young and growing team, fostering a culture of quality, ownership and continuous learning Act as an advisor for product owners (feasibility studies and time estimates for new functionality to be implemented) Collaborate closely with the teams owning the DEX platform to align on interfaces, contracts and integration flows Requirements A university degree in the field of information technology, computer science and engineering or a related subject 7+ years of professional experience in the field of software development Solid knowledge of Java (Spring), Kotlin and SQL is mandatory Solid understanding of authentication & authorization concepts (e.g. OAuth2/OIDC, token exchange, service-to-service and user-context authentication) Hands on experience with cloud services (like managed Kubernetes, Redis, key vaults, message brokers, PostgreSQL etc), docker containers and CI/CD pipelines Must have hands on experience in Docker & Kubernetes ecosystem and should be able to work on them locally in docker desktop. Must have experience in any of the unit test casing framework Experience in taking architectural decisions about the development and maintenance of large-scale distributed systems and integrations between platforms and services Solid knowledge of Secure SDLC principles, OWASP Top-10 vulnerabilities & remediation, and Threat Modeling Experience in quick feasibility studies, POC & prototyping to arrive at firm estimates Understanding of Clean Code and Design Patterns for object-orientated programming Proven ability and willingness to mentor and coach junior engineers, paired with strong communication skills A positive and solution-oriented mindset paired with a structured and analytical way of thinking/working, being a team player, as well as motivated to learn new things Knowledge of .NET (C#) backend services is a plus (the DEX platform is built on .NET) Experience in any of the following is desirable: parallel programming (multi-threading), test automation, network communications, digital certificates/PKI Familiarity with AI tools for coding (like Co-pilot) is a plus TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.

Location: Mississauga Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. PointClickCare is searching for a Principal Software Data Engineer who will contribute to all phases of the software development life cycle, and will play a crucial role in designing, developing, and maintaining large scale Data Platform and data pipelines based on microservices architecture, while also encouraging and optimizing the daily execution of technical excellence across an empowered team. This is a hands-on leadership role, requiring the ability to enhance and implement batch and real-time data solutions already in progress, mentor other team members, and deliver both business and technical objectives through ambiguity and uncertainty. This is an opportunity to shape the future of our data ecosystem. You’ll work with a passionate team and modern technologies to drive innovation that impacts the entire organization. The ideal candidate thrives as an individual contributor, while making a significant technical impact and elevating the team’s capabilities.   To succeed as a Principal Software Data Engineer at PointClickCare, you need to be collaborative, adventurous and passionate. Collaborative means that you’re enthusiastic about jumping in to help achieve the team’s top priorities, no self-promoting politicians allowed. Adventurous means that you’re not afraid to dive into uncharted technical territory and get your own hands dirty, while supporting and driving delivery of complex features through a dedicated Scrum team. Passionate means that you’re eager to learn and share knowledge that drives the team forward, and excited to be part of a movement that is positively impacting the lives of seniors and their caregivers all over North America.   What your day-to-day will look like: -Lead and guide the design and implementation of scalable distributed systems based on Java microservices -Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS -Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset -Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies -Drive adoption of best practices in data governance, observability, and performance tuning for data workloads -Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment -Establish robust observability for data pipelines by implementing metrics, logging, and distributed tracing for streaming jobs, defining SLAs and SLOs for latency and throughput, and integrating alerting and dashboards to enable proactive monitoring and rapid incident response -Foster a culture of quality through peer reviews, providing constructive feedback and seeking input on your own work   What qualifications we’re looking for: -Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on data pipelines (batch and streaming) -Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor -Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines -Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads -Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations) -Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools -Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments -Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data technologies (Trino, Databricks, Spark) -Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and organization.   #LI-AJ1 #LI-remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $142,700-178,400+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: United States Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com We are seeking a Staff Full Stack Engineer to set the technical direction for and scale Mattermost’s core web platform for teams operating in defense and critical infrastructure sectors. You’ll drive architecture and technical strategy across our Go backend and React/TypeScript web frontend — partnering across teams to ship features that hold up under strict security, compliance, and reliability requirements . Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you. What You Will Do Define and drive the technical architecture and roadmap for Mattermost’s core web platform across multiple engineering teams, spanning Go, React, TypeScript, PostgreSQL, and Redis Set org-wide standards and best practices for AI-agentic engineering workflows — going beyond personal fluency with tools like Claude Code and Cursor to shape how the broader engineering org adopts them, while retaining accountability for correctness, security, and design decisions Lead the internal tooling and testing infrastructure strategy that speeds up delivery for the broader engineering org, not just your immediate team Own the testing strategy and quality bar across frontend and backend systems, and hold other engineers accountable to it through design reviews and mentorship Drive architectural decisions for REST and WebSocket API design, grounded in deep networking fundamentals Partner directly with security, compliance, and product leadership on strategic technical bets tied to our government and enterprise customer requirements Mentor senior engineers and act as a technical multiplier across the org Contribute to and help shape technical direction for Mattermost’s open-source codebase What We Are Looking For Required: Senior full-stack development experience in Go and React (or a comparable stack), with a track record of owning complex systems end-to-end Proven experience designing and owning distributed systems or high-availability service architecture at scale Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals Relational database experience including PostgreSQL, schema design, and query optimization Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself Demonstrated ability to influence technical direction across multiple teams without relying on formal authority Experience mentoring senior engineers and raising the technical bar for a broader team Comfortable operating in regulated or high-compliance environments (e.g., enterprise security, government, or critical infrastructure requirements) Nice to Have: Prior experience operating as a staff, principal, or technical lead engineer at another company Experience maintaining (not just contributing to) an open-source project Program-level familiarity with compliance frameworks relevant to defense or government customers (e.g., FedRAMP, ITAR) Experience helping scale engineering practices or standards across a growing organization Background in defense, intelligence, or critical infrastructure products Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents How Success Is Measured First 90 Days: Build cross-team credibility by shipping a meaningful full-stack feature on the core platform, while assessing the technical landscape and identifying the highest-leverage architectural or process improvements to pursue. Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration Compensation Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions. Target Salary Range: $172,724 – $227,135 U.S. Eligibility & Compliance This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit Security Clearances — United States Department of State Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls . Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: Toronto, Ontario, Canada Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com We are seeking a Staff Full Stack Engineer to set the technical direction for and scale Mattermost’s core web platform for teams operating in defense and critical infrastructure sectors. You’ll drive architecture and technical strategy across our Go backend and React/TypeScript web frontend — partnering across teams to ship features that hold up under strict security, compliance, and reliability requirements . Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you. What You Will Do Define and drive the technical architecture and roadmap for Mattermost’s core web platform across multiple engineering teams, spanning Go, React, TypeScript, PostgreSQL, and Redis Set org-wide standards and best practices for AI-agentic engineering workflows — going beyond personal fluency with tools like Claude Code and Cursor to shape how the broader engineering org adopts them, while retaining accountability for correctness, security, and design decisions Lead the internal tooling and testing infrastructure strategy that speeds up delivery for the broader engineering org, not just your immediate team Own the testing strategy and quality bar across frontend and backend systems, and hold other engineers accountable to it through design reviews and mentorship Drive architectural decisions for REST and WebSocket API design, grounded in deep networking fundamentals Partner directly with security, compliance, and product leadership on strategic technical bets tied to our government and enterprise customer requirements Mentor senior engineers and act as a technical multiplier across the org Contribute to and help shape technical direction for Mattermost’s open-source codebase What We Are Looking For Required: Senior full-stack development experience in Go and React (or a comparable stack), with a track record of owning complex systems end-to-end Proven experience designing and owning distributed systems or high-availability service architecture at scale Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals Relational database experience including PostgreSQL, schema design, and query optimization Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself Demonstrated ability to influence technical direction across multiple teams without relying on formal authority Experience mentoring senior engineers and raising the technical bar for a broader team Comfortable operating in regulated or high-compliance environments (e.g., enterprise security, government, or critical infrastructure requirements) Nice to Have: Prior experience operating as a staff, principal, or technical lead engineer at another company Experience maintaining (not just contributing to) an open-source project Program-level familiarity with compliance frameworks relevant to defense or government customers (e.g., FedRAMP, ITAR) Experience helping scale engineering practices or standards across a growing organization Background in defense, intelligence, or critical infrastructure products Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents How Success Is Measured First 90 Days: Build cross-team credibility by shipping a meaningful full-stack feature on the core platform, while assessing the technical landscape and identifying the highest-leverage architectural or process improvements to pursue. Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration Compensation Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions. Target Salary Range: $195,001 – $238,965 Canada Eligibility & Compliance Candidates must be legally authorized to work in Canada without current or future sponsorship. This role may require obtaining and maintaining a government security clearance or equivalent designation (such as Reliability Status or Secret clearance under Canada's Controlled Goods Program), depending on customer engagement. Candidates must meet eligibility requirements to be considered. Given Mattermost's work with U.S. defense and government customers, some positions may also require compliance with U.S. export control laws, including EAR and ITAR, which can apply to non-U.S. based employees working on covered technical data. For more information, visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls. Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: Dublin, Ireland; Leeds, England, United Kingdom; London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Overview Every time a fan places a bet, earns a reward, or checks out on Fanatics — Fanatics Core made that possible. We build the shared foundations — identity, payments, loyalty, wallet, data, and platform — that power sports betting, ecommerce, collectibles, and beyond. We supercharge the business by providing products and capabilities so that teams can focus on what matters most: building delightful experiences for the fans. As a Staff Software Engineer, you'll join the Promotions Platform team within FBG. Your duties will encompass the design, implementation, testing, and maintenance of software that enables customers to engage with FBG's promotional systems. Additionally, you will contribute to backend features that allow customers to earn rewards, which can be used throughout the entire Fanatics ecosystem. We are currently focused on developing the next generation of promotional tools. Responsibilities Lead a team or teams that develops, tests, documents, and deploys high quality software into production, leading the delivery of solutions that are extensible and scalable Clarify requirements and assists with coding/story estimates Participate in the on-call rotation when needed to troubleshoot software issues Quickly identify when to troubleshoot or escalate when tasks or projects hit roadblocks, find a path forward in difficult situations Mitigate immediate risk, identify and resolve root causes Remove bottlenecks and make technical and design approach trade-off decisions short term vs long-term Contribute to team planning and design discussions, building more expertise around design approaches, driving best practices and improving the speed of delivery Lead code reviews to provide constructive direction Proactively simplifies code and resolves team architecture deficiencies Impact software architecture, dependencies, performance, and business value Improve testability, operational excellence metrics, and team documentation Advise technology leaders, our product team, and other internal stakeholders to make technology decisions that grow and improve our products Mentor and coach other engineers and actively work to reduce onboarding burden of future team members Influence your team's adherence to the principles, guidelines, and best practices of our engineering strategy Develop a solid understanding of our industry, product, feature set and roadmap Remain current on the latest technologies and trends in software development Must be open to occasional travel to Fanatics Betting & Gaming offices and other locations for conferences, events, meetings, and team-building activities Required Qualifications 7+ years of experience building highly scalable and fault tolerant systems Proven technical leadership at staff level: you’ve led the design and delivery of complex systems across multiple teams, set technical direction, and mentored engineers, whether as a tech lead or through other formal or informal leadership. You understand a broad range of design approaches You are able to triage and debug system-wide production issues Demonstrated experience mentoring other engineers Able to effectively communicate complex technical subjects to a variety of audiences (engineers, technical leaders, marketing and operations teams, non-technical functional leaders) Familiar with Agile software product delivery and SCRUM methodology Excellent analytical and problem solving skills You have an agile mindset; able to embrace new initiatives in a fast-paced environment Thrives in an entrepreneurial, hyper-growth environment where priorities evolve regularly and decisions are made quickly Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better Able to effectively work cross-functionally within an enterprise environment Preferred Qualifications Experience working in a start-up environment 1+ years of experience leading a development team Experience with Java/Spring Boot Experience with React Experience with Apache Kafka Experience with AWS Experience with PostgreSQL If you possess some of these qualifications but not all of them, we still encourage you to apply! Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Russia Workplace: hybrid ABOUT YOU  We are looking for a Site Reliability Engineer who is pragmatic, product-minded, and equally comfortable writing code and running production systems to join our Infrastructure department's SRE team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the application-level infrastructure and reliability of a high-traffic commerce domain end to end - from deploy pipelines and Kubernetes manifests to SLOs, capacity planning, and production readiness. Strong Kubernetes, observability, and software engineering skills are essential, along with experience in operating production services in a cloud environment (GCP/GKE or comparable) and partnering closely with product development teams. The ability to hold a dual perspective - understanding both how developers ship features and what infrastructure needs to stay reliable - and to bring the reliability lens into design decisions early will be key to your success in this role. If you're passionate about making complex distributed systems boringly reliable and love building the commerce and monetization backbone that lets game developers around the world get paid, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Own the application-level infrastructure: Helm charts, Terraform configurations, Kubernetes deployments, runtime configuration, and service-level networking and integrations Own the domain's observability: design and implement SLOs/SLIs, monitors, alerts, and dashboards for critical services on Datadog and OpenTelemetry-based tooling Help to set up and evolve CI/CD pipelines for domain services (GitLab CI, GitHub Actions), including deploy and rollback automation Perform capacity planning and performance tuning ahead of expected load - product launches, sales events, and regional rollouts - including load testing and performance regression investigation Run Production Readiness Reviews for new services and major changes; define and enforce what "production-ready" means for the domain Support domain incident response: assist with deep investigation of complex incidents, contribute to post-mortems, drive follow-up reliability improvements, and maintain runbooks Build domain-specific automation that reduces operational toil: runbook automation, deploy helpers, recurring operational scripts Maintain and drive a forward-looking reliability roadmap for the domain together with product engineering leads Participate in product team planning, refinements, and architecture reviews, bringing the reliability perspective before design decisions become expensive to change Co-author company-wide SLO/SLI, capacity, and operational standards together with the broader SRE team; contribute improvements directly to shared SRE-operated subsystems Participate in the SRE duty rotation, supporting developers across the company Qualifications & Skills 3+ years of proven SRE, DevOps, or platform engineering experience: on-call or incident response duty, SLO/monitoring ownership, deploy pipeline and infrastructure work for production services Software development background: you have built and shipped backend services, not only operated them - comfortable reading application code during an investigation and writing production-quality automation in at least one language (e.g., Go, PHP) Hands-on Kubernetes experience: Helm, manifests, deploy strategies, debugging application-level performance and networking issues (GKE or another managed Kubernetes) Solid observability practice: building monitors, dashboards, and SLOs/SLIs on a modern platform (Datadog preferred; Prometheus/Grafana experience also relevant), familiarity with OpenTelemetry Infrastructure as Code exposure (Terraform/Terragrunt) for collaboration with platform teams GCP experience (IAM, networking, managed services) Experience building and maintaining CI/CD pipelines (GitLab CI and/or GitHub Actions) Programming/scripting proficiency sufficient to build automation and tooling (e.g., Python, Go, or Bash) Practical experience with incident response, post-mortems, and driving reliability improvements from incidents Strong collaboration and communication skills — this role works embedded with product development teams daily Experience in payments, fintech, e-commerce, or gaming — high-traffic transactional systems Nice to Have: Kubernetes certifications Google Cloud Platform certifications HashiCorp certifications Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Limassol, Cyprus; Tbilisi, Georgia Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We develop and implement machine learning and AI solutions across a range of products: AI assistants, customer support chatbots, intelligent data processing, generative AI features, recommender systems, spam detection, search and other ML-powered modules. Our goal is to build reliable ML and AI systems that solve real product problems — from experimentation and prototyping to production integration and continuous improvement. Responsibilities Designing and implementing ML and AI modules for various products, from experimentation and prototyping to production integration Building solutions based on LLMs and other ML/NLP approaches for data processing, generation, search, assistants, bots, agents and automation Choosing and evaluating appropriate approaches — including external AI providers, open-source or self-hosted models, as well as traditional ML/NLP methods Contributing to the architecture of ML solutions, shaping technical approaches and engineering standards Preparing and processing data, training models, running A/B tests, and analyzing results Monitoring and improving model performance, interpreting model behavior and key metrics Evaluating AI-system quality, analyzing failure cases and improving models, prompts, data and system architecture Collaborating with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate their impact Working with MLOps infrastructure: CI/CD, monitoring, logging, containerization What makes you the perfect fit 3+ years of experience in ML engineering and building production-ready ML systems Strong practical expertise in NLP, LLMs, AI assistants and related AI/ML areas Experience with both modern LLM-based systems and traditional ML/NLP approaches such as classification, ranking, retrieval, semantic similarity and information extraction Strong track record of delivering end-to-end ML solutions — from idea and data to production and support Proficient Python skills and experience with production-grade development Experience evaluating ML/AI solutions and understanding their quality, reliability, latency and cost trade-offs Solid knowledge of A/B testing and result interpretation Experience in architectural decision-making and a drive to improve engineering practices Familiarity with tools like Docker, Kubernetes, CI/CD systems, monitoring (e.g. Prometheus, Grafana), and logging Will be a plus Product-oriented mindset and understanding of business metrics Experience building real-time and high-load ML systems Experience with open-source or self-hosted models Familiarity with modern MLOps tools (e.g. MLflow, Airflow, Kubeflow) Experience evaluating the UX of AI-driven interactions What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: ES - Barcelona, Spain Scopely is looking for a UI Artist to join our MONOPOLY GO! team in Barcelona (Spain) on a hybrid basis! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US and works daily to create captivating new experiences for our players. UI Artist Every Monopoly GO! season brings new experiences to life, and UI is where those experiences become clear, expressive, and unmistakably ours. As a UI Artist, you'll turn ideas into polished interfaces that balance visual appeal with intuitive design, helping every screen feel as good as it looks. Getting that balance right means continually expanding how you approach the work. You'll build fluency with AI and emerging tools alongside strong UI fundamentals, learning where they can broaden exploration, improve iteration, and help you make stronger design decisions, with experienced artists around you to help develop your judgment and approach. If you're looking for new design challenges, opportunities to broaden your visual and technical skills, and the support to turn strong fundamentals into a more confident and versatile craft, you'll find plenty of room to grow here. What You Will Do Create mockups and polished UI assets for Monopoly GO! features, translating flowcharts and wireframes into usable UI systems, with guidance from a Senior UI Artist. Apply AI-assisted tools within your UI workflow, using sound judgment to identify where they improve quality, iteration, or efficiency. Collaborate with game designers, UX designers, concept artists, animators, and engineers to keep the player experience consistent. Present your UI work clearly within your immediate team, and advocate for strong UI craft. Iterate quickly on feedback to keep your work polished and production-ready. What We're Looking For 3+ years practical art/design experience in games, preferably mobile. Demonstrated fluency with AI-assisted tools relevant to UI production, with experience applying them to real production tasks while maintaining quality. Strong graphic design and illustration skills for casual/stylized games, with experience in typography and logo design. Solid understanding of UI/UX best practices and interaction design fundamentals, backed by mastery of Photoshop, Illustrator, and Figma. Strong cross-functional communication skills, with the ability to iterate toward the best Bonus Experience navigating brand guidelines and IP stewardship of at least one externally-licensed IP. Unity experience. A passion for mobile gaming. Please ensure that the résumé/CV you attach is written in English. At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Tokyo Workplace: Remote Global Services is the centre of expertise at Chainalysis — the team that translates our platform, data, and investigative capabilities into real-world impact for customers across law enforcement, national security, financial institutions, and the broader crypto ecosystem. Chainalysis is seeking a Deployment Strategist to join Global Services as a core technical practitioner. This is not a traditional services or solutions engineering role. Deployment Strategists are embedded technical experts who own the full lifecycle of customer value — from problem discovery and investigation through solution design, deployment, and customer enablement. The role sits at the intersection of blockchain investigation, data analytics, domain expertise, and customer partnership. You will work directly with customers to understand their mission, conduct investigations, build tailored solutions, and enable customer teams to operationalise Chainalysis independently. Success requires deep investigative capability, genuine domain expertise, technical skill, and the ability to build trusted relationships through credibility — not just communication. This is the role that makes Chainalysis essential to how our customers operate. In this role, you’ll: - Own end-to-end customer engagements — from discovery through investigation, solution design, deployment, enablement, and ongoing value delivery - Conduct blockchain investigations across the Chainalysis platform, applying tracing, OSINT, and analytical techniques to real customer problems - Partner directly with customers to understand investigative, intelligence, compliance, or operational objectives and translate them into actionable outcomes - Design, build, and maintain custom workflows, notebooks, dashboards, queries, and data models using Chainalysis data and products - Enable customers to operate solutions independently — building their capability so that Chainalysis becomes embedded in their operational infrastructure - Act as the primary technical and domain advisor for your customers, building trusted relationships through hands-on expertise and credibility - Deliver live training, demos, investigative walkthroughs, and technical briefings to both technical and non-technical audiences - Support pre-sales technical engagement for complex and strategic deals — helping customers understand what's possible and how to get there - Collaborate closely with Product, Engineering, Global Intel, and Sales to influence roadmap and improve offerings based on field intelligence - Develop and share domain expertise, investigative techniques, and best practices that raise the capability of the wider GS team We’re looking for candidates who have: - Conducted or directly supported cryptocurrency investigations, blockchain intelligence work, or financial crime analysis in an operational environment - Deep familiarity with blockchain ecosystems (BTC, ETH, stablecoins, DeFi) and how on-chain data is used in investigations, compliance, or intelligence workflows - Delivered customer-facing technical solutions — whether investigative outputs, data products, or analytical workflows — in complex, real-world environments - Worked directly with customers in law enforcement, national security, intelligence, compliance, financial crime, or security-focused domains - Built insights from large or complex datasets and communicated findings to varied audiences — from analysts to executives - Operated successfully in fast-paced, ambiguous environments requiring ownership, adaptability, and sound judgment Required Skills: Technical Skills - Proficiency in Python and SQL for data analysis, transformation, and solution development - Experience building notebooks, dashboards, and analytical workflows - Solid understanding of data modelling, querying, and working with large datasets - Ability to quickly develop deep expertise in Chainalysis data structures, schemas, and products Domain Expertise - Substantive knowledge of at least one domain: financial and cyber crime investigations, sanctions and compliance, fraud, national security, DeFi/protocol security, tax, or private sector risk - Understanding of how customers in your domain operate — their workflows, regulatory environment, and what success looks like for them - Ability to apply domain knowledge to shape investigation approach, solution design, and customer advisory Customer & Communication Skills - Proven ability to build trusted, long-term customer relationships through technical and domain credibility - Excellent communication skills — can explain complex investigative and data concepts to non-technical stakeholders - Comfortable leading customer sessions, workshops, training, and technical working groups - Experience enabling and upskilling customer teams — not just delivering outputs, but building customer capability Day-to-Day Activities - Conduct investigations and analytical work using Chainalysis tools (Reactor, KYT, Data Solutions) in response to customer needs - Develop and maintain technical artifacts — Python notebooks, SQL queries, dashboards, investigative reports — tailored to customer use cases - Work side-by-side with customers to design workflows that operationalise Chainalysis data in their environment - Enable customer teams through hands-on training, walkthroughs, and knowledge transfer — so they can operate independently - Deliver live demos, investigative briefings, and solution presentations - Support pre-sales activity — technical discovery, proof-of-value sessions, and solution scoping for prospective customers - Gather feedback from customers and translate it into actionable recommendations for Product, Engineering, and Global Intel - Contribute to live training delivery in your domain of expertise - Support multiple customers concurrently while maintaining quality and responsiveness - Develop your domain specialism through continuous learning, case work, and engagement with the broader investigations and intelligence community Personal Attributes - Highly curious and continuously learning about blockchain technology, investigations, and emerging threats. - Strong customer focus with a genuine desire to help customers succeed in their mission. - Self-starter who thrives in ambiguous environments and takes ownership of outcomes. - Collaborative, adaptable, and comfortable operating across teams and functions. - Deeply curious about blockchain technology, crypto crime, investigations, and the evolving threat landscape - Strong customer focus with a genuine desire to help customers succeed in their mission — whether that's making an arrest, filing a SAR, or building a compliance programme - Credibility-driven — earns trust through expertise and delivery, not just presentation - Self-starter who thrives in ambiguous environments and takes ownership of outcomes - Collaborative, adaptable, and comfortable operating across teams and functions - Committed to developing deep domain expertise — not satisfied with surface-level knowledge Nice to have experience: - Direct experience with Chainalysis products - Background in law enforcement, intelligence, or military investigations - Experience providing expert evidence or supporting legal proceedings - Familiarity with compliance frameworks (BSA/AML, sanctions screening, MiCA, Travel Rule) - Experience with data engineering tools and platforms (e.g., Databricks, Snowflake, cloud-based analytics) - Published research, intelligence products, or thought leadership in blockchain analytics or financial crime AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Europe; Lithuania Workplace: Remote ABOUT ENEBA   At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.    ABOUT YOUR TEAM You will join a growing security team where you can take meaningful ownership of the practices and policies you help develop. You will work closely with backend engineering and other departments to integrate practical security requirements across the company. ABOUT THE ROLE As a Security Engineer, you'll cover a broad range of operational and strategic security work rather than a single narrow specialty. In your first few months, you'll focus on learning Eneba's tech stack and understanding how our services and systems fit together. That foundation is essential before you can secure those systems effectively. Day-to-day, you can expect to: - Hands-on coding and security implementation work make up the largest part of the role today, alongside incident response and threat-hunting responsibilities. - Review and triage security submissions and incident reports. - Evaluate and respond to bug bounty reports, including remediation follow-through - Build, operate, and improve incident response and remediation processes. - Write and maintain security policies and documentation. - Communicate security requirements and risks clearly to non-technical departments - Review application monitoring and logs to catch and investigate anomalies - Support access governance and permission-management processes. ABOUT THE TECH The tech stack is the same one our backend teams work with. You're not expected to know all of it on day one, but you should expect to be learning how to use most of it within your first 3 months, and you'll also be working across other languages and systems used throughout the company as your role demands. CODE - PHP/Symfony - Golang - GraphQL - gRPC - CQRS, commands via saga/temporal, queries via GraphQL - Microservices architecture - Service orchestration with Saga https://microservices.io/patterns/data/saga.html / temporal.io https://temporal.io/ DATABASES - InfluxDB - Redis - ElasticSearch - MariaDB - MySQL INFRASTRUCTURE - Kubernetes - Helm - AWS - Terraform - Prometheus WHAT WE'RE LOOKING FOR - Strong written and verbal communication skills - this is our highest priority, since you'll regularly need to explain technical risk to non-technical audiences - Solid PHP knowledge - Security knowledge, or a clearly demonstrated interest in security (bug bounties, CTFs, security blogs, following the security community) - A background in IT, backend engineering, or a related technical field - Self-sufficiency - comfort taking ownership of tasks and making progress without constant guidance. - Ownership mentality and strong problem-solving skills - Openness to learning and working across multiple systems, languages, and technologies rather than staying in one lane Nice to have - Experience with monitoring tools and application monitoring - Familiarity with the OWASP Top 10 WHAT IT’S LIKE TO WORK AT ENEBA   - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product.  - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.    *Please attach CV's in English. *To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice https://www.eneba.com/candidate-privacy-notice

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. ABOUT THE ROLE As a Senior Data Engineer, you will play a key role in building and scaling the data platform that powers analytics across Trust Wallet. You'll be responsible for designing, developing and maintaining data pipelines and data models, ensuring a seamless, scalable and reliable flow of data from source systems through to the decisions it supports. Leveraging your experience with Databricks and Spark across both streaming and batch workloads, dbt or a similar transformation framework, cloud infrastructure, and custom solutions in Python, you'll work closely with our data analysts and engineering teams to turn data into a strategic asset for our company. KEY RESPONSIBILITIES - Data Platform Engineering: Architect and maintain robust, scalable and secure data infrastructure on Databricks, covering both streaming and batch workloads. - Data Pipeline Development: Design, develop and maintain data pipelines, primarily in Python and Spark, to automate ingestion and transformation across internal systems, external providers and on-chain sources. - Data Modelling: Design and maintain dimensional data models and transformation layers in dbt, with tests and documented contracts, so metrics are consistent and reusable across the company. - Data Lake Management: Oversee the data lake and lakehouse layers, ensuring efficient storage, effective partitioning, high data quality, and monitoring and alerting that surfaces issues early. - Integration and Customisation: Integrate Databricks with a wide range of data sources, including change data capture from operational databases, third-party APIs and blockchain data, and adapt data flows to specific business needs. - Performance, Scalability and Cost: Optimise pipelines and storage for performance, reliability and cost efficiency at scale. - Data Governance and Security: Apply best practices for governance, security and compliance in cloud and Databricks environments, including access control, encryption and monitoring. - Collaboration and Documentation: Work closely with platform engineers, data analysts and other stakeholders to understand data requirements, and document infrastructure, models and best practices. REQUIRED QUALIFICATIONS - Experience in Data Engineering: 3+ years as a Data Engineer, with hands-on ownership of production pipelines and lakehouse or data warehouse architecture. - Databricks and Spark: Strong practical experience with Databricks, Delta Lake and Spark, including both streaming and batch processing, and the judgement to choose between them. - Data Modelling: Solid understanding of dimensional modelling, slowly changing dimensions and data warehouse design, with the ability to define and defend the grain of the models you build. - Transformation Frameworks: Experience with dbt or an equivalent framework for managing transformations, testing and lineage. - Cloud Proficiency: Strong cloud fundamentals, including identity and access management, object storage, networking and infrastructure as code. We run on AWS; deep experience with Azure or GCP transfers well. - Proficiency in Python and SQL: Comfortable writing production transformations as well as services and connectors. - Data Quality and Governance: Experience implementing testing, monitoring and governance practices in cloud data environments. PREFERRED SKILLS - Experience with change data capture and replication from operational databases - Familiarity with blockchain or on-chain data - Infrastructure as code, ideally Terraform, and CI/CD for data workloads - Experience with BI and semantic layers such as Holistics, Looker or similar - Containerisation and orchestration (Docker, Kubernetes) ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Задачи: - Разрабатывать и развивать backend-функциональность на Java - Участвовать в реализации бизнес-процессов, связанных с кодами маркировки - Работать с PostgreSQL, Kafka и S3 - Разрабатывать и поддерживать сервисы на базе Spring - Участвовать в проектировании интеграций между внутренними и внешними системами - Декомпозировать задачи и планировать их выполнение Требования: - Отличное знание Java 8+ - Практический опыт работы со Spring Core, Spring Data, Spring Web и Spring Security - Опыт работы с Apache Kafka - Уверенное знание PostgreSQL - Глубокое понимание ООП, SOLID и принципов чистого кода - Базовый опыт работы с Kubernetes

Location: Linz, Austria Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities At TeamViewer, we build technology that helps organizations connect people, devices, and digital workflows securely and efficiently. Our products support teams that need to manage complex IT environments, resolve disruptions faster, and automate work with confidence. Our team builds and evolves the integrations that connect TeamViewer with the wider enterprise software ecosystem, such as Microsoft LAPS and Intune. We enable secure credential handling, seamless device connectivity and efficient remote access across enterprise environments. Join us if you want to build the features that keep enterprise IT secure, connected and simple to operate. Design and develop platform independent functionalities for our client and services using C++ Optimize and enhance our software with new, efficient algorithms and technologies Own features end to end, from technical concept through implementation to rollout Continuously improve the reliability, maintainability, and performance of our codebase Use coding agents and LLM-based assistants in your daily work, with a critical eye on quality and security Automate recurring parts of your work with agentic workflows and share what works with your fellow C++ engineers Mentor engineers and raise the bar through design and code reviews Advise product owners on feasibility, effort estimates, and technical direction of new features Requirements University or college degree in Computer Science, Business Informatics, Software Engineering, or any related subject 7+ years of professional experience in the field of object-oriented software development using C++ (C++14 or above) and design patterns Hands-on experience with AI-assisted development tools like coding agents or LLM-based assistants Enthusiasm for AI-native ways of working, from automating recurring tasks to rethinking how software gets built Solid knowledge of build tools like CMake and git, experience with Conan is a plus Experience in any of the following fields are desirable: parallel programming, distributed and scalable systems, security, SQL, or network communication Ability to work independently and be proactive Structured and analytical way of thinking/working, being a team player, as well as motivated to learn new things Fluency in English is mandatory, further languages such as German are a plus What we offer Onsite Onboarding in our HQ office for an optimal start An attractive compensation package above the collectively agreed minimum basic salary (according to the IT-KV, Regelstufe with classification ST1/rule: EUR 3.954, with ST2/rule: EUR 4.611 gross/month) 28 days of well-deserved holidays Great benefits package including company achievement bonus Special terms for local gyms Access to Corporate Benefits platform with many discounts Regular team events and company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebrate diversity as one of core values, join and drive one of the c-a-r-e initiatives together with us! TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.