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Location: Bulgaria, Georgia, Poland, Romania, Uzbekistan Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client California-based plumbing services company established in 1994, specializing in commercial plumbing, maintenance, repairs, and installations. With a well-established presence in Southern California and a growing service operation, the company focuses on reliable service delivery, customer satisfaction, and operational efficiency. What You’ll Do Clean up and validate existing data in ServiceTitan and LuxorCRM, correcting errors, duplicates, and missing information Ensure account ownership, contact details, referral sources, and campaign data are accurate and consistent across both platforms Manage daily data exports and imports from ServiceTitan to LuxorCRM, applying the correct reference tags Create and update sales opportunities in both systems, verifying estimate values and account details Identify, document, and escalate data discrepancies and recurring issues to the sales team What You Bring Professional experience in data entry, sales operations, or CRM data maintenance Strong attention to detail and ability to handle repetitive, high-volume data tasks Proficiency in spreadsheets, including CSV imports/exports, lookups, deduplication, and data reconciliation Ability to learn new platforms quickly through vendor training Nice to have Hands-on experience with ServiceTitan or LuxorCRM. Experience in field services or trades such as plumbing, HVAC, or electrical. Previous experience with CRM data migration or cleanup projects. English level Upper-intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matter.

Location: Turkey; Bosnia & Herzogovina; Estonia; Spain; North Macedonia; Serbia; Slovakia; Malta; Moldova; Montenegro; Portugal; Italy; Latvia; Albania; United Kingdom; Czech Republic; Greece; Cyprus; Netherlands; Kosovo; Malaysia; Yerevan; Bulgaria; Slovenia; Romania; Poland; Bosnia and Herzegovina; Czechia; Georgia; Croatia; South Africa Workplace: Remote [https://app.ashbyhq.com/api/images/user-content/b540b9e2-0673-4d2d-91fd-e293658f4f6a/d5db35d1-81f0-4140-b61c-f3fb1004c7d1/job%20ad%20visual.png] Please be informed that Foxelli Group hires exclusively in-house and doesn't work with any external recruitment agencies. Any company or individual claiming to recruit on behalf of Foxelli Group is not affiliated with us. At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them. If you love to learn, experiment, think boldly, make decisions, and build things that matter -you’ll feel at home with us. THE ROLE We're building an AI-powered entertainment studio producing addictive vertical micro-drama series for US audiences, primarily women aged 35–55. We're looking for a creative director with exceptional storytelling instincts, strong cinematic taste, and a deep understanding of human emotions. Your mission is simple: turn good scripts into emotionally powerful episodes that people can't stop watching. You'll work with screenwriters, AI video creators, and editors, taking creative ownership from script review to the final finished episode. You won't need to write the scripts or generate every video yourself. Your role is to guide the creative execution, identify what needs improvement, and ensure every episode meets our standards. No AI experience? No problem. We’re looking for exceptional storytellers and filmmakers, not AI experts. If you’re a talented screenwriter or director, we’ll teach you everything you need to know about AI filmmaking technologies. We believe AI is opening up incredible new opportunities for creative professionals, allowing them to bring their ideas to life faster and with fewer traditional production limitations. You’ll have the opportunity to learn cutting-edge tools, develop valuable new skills, and become part of the next generation of filmmaking. WHAT YOU'LL DO 1. Script Review & Creative Direction - Review season storylines and individual episode screenplays. - Evaluate storytelling, emotional impact, character motivations, hooks, and cliffhangers. - Approve scripts or provide specific, actionable feedback to screenwriters. - Add directing instructions only when necessary. If the script is already strong and production-ready, approve it without unnecessary changes. 2. Direct AI Video Production - Establish the visual style and creative standards for each series. - Guide AI video creators on cinematography, framing, character performance, lighting, and emotional delivery. - Review generated footage and identify scenes or shots that need improvement. - Maintain visual consistency and quality across episodes. 3. Editing & Final Approval - Review episode edits for pacing, tension, emotional impact, music, sound design, and visual storytelling. - Give clear, prioritized feedback to editors. - Approve final episodes before release. - Ensure the finished video delivers the intended emotional experience. 4. Production Quality & Efficiency - Work with multiple AI video creators and editors. - Help the team increase production speed without sacrificing creative quality. - Identify recurring production problems and improve workflows. - Use audience feedback and retention data to improve future episodes. WHO YOU ARE - Exceptional storytelling instincts – you understand why audiences feel anger, excitement, suspense, satisfaction, and anticipation. - Strong cinematic judgment – you know how camera angles, acting, editing, lighting, and sound influence emotions. - Experience in directing or filmmaking – ideally film, television, serialized drama, or narrative short-form video. - Understanding of AI filmmaking – you know the capabilities and limitations of AI video generation and how they affect production decisions. - Strong attention to detail – you easily spot continuity errors, weak performances, awkward cuts, or emotional moments that don't work. - Clear communicator – you can explain exactly what's wrong, why it matters, and how to fix it. - Pragmatic – you don't make changes just to make changes. You know when something is good enough to approve. - Comfortable with fast-paced production – you can make strong creative decisions quickly. - Excellent English communication skills. BIG PLUS - Experience directing drama, romance, thrillers, soap operas, or telenovelas. - Experience with AI filmmaking tools such as Kling, Runway, Seedance, or similar. - Experience leading creative production teams. - Understanding of audience retention and performance-driven storytelling. WHAT SUCCESS LOOKS LIKE - Episodes consistently deliver strong emotional impact, hooks, and cliffhangers. - Screenwriters and AI creators receive clear, useful feedback without unnecessary revisions. - The team produces more high-quality episodes while keeping production costs under control. - Finished episodes maintain consistent cinematic quality and improve based on audience feedback. THE RECRUITMENT PROCESS Apply - A simple form that helps us know who’s stepping into our world. Ribbon AI Interview - Ribbon is a short, guided video step that helps us understand your thinking style in a calm, private space. Interview -A conversation with your manager to feel the work chemistry, get to know each other, and explore what we could build together. FIXED SERVICE FEE €2,000–5,000 monthly service fee, depending on experience. ❕Please note that this role is based on a contract/freelance agreement. LOCATION Remote, hiring across selected European countries and South Africa. RECRUITMENT PROCESS 1. Application and portfolio review. 2. AI interview. 3. Practical creative directing test. 4. Interview and trial period. PERKS & BENEFITS - Full flexibility with your schedule in a fully remote setting, while Apploye ensures transparency and fairness. - Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check. - A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously. - Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested. - A budget for your home office setup so you’re comfortable working how you like and where you like. - Strong company culture and a network of unique individuals that celebrate you. ELIGIBILITY & LOCATION REQUIREMENTS ❕This role is 100% remote. - Our tribe works primarily in the Eastern European Time Zone (EET — UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported. - For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours — it keeps collaboration smooth and communication easy. (This doesn’t apply to part-time roles.) Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.

Location: Georgia; Belarus; Serbia; Armenia; Kyrgyzstan; Uzbekistan; Azerbaijan; Czech Republic; Montenegro; Poland; Portugal; Romania; Spain; UAE; Slovakia Workplace: remote About the Team We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. We are looking for a Mobile QA Engineer for our iOS team. We are currently undertaking a major redesign of our flagship trading platform, used by millions of users worldwide, with three key goals: delivering an adaptive UI across different screen sizes and device families, expanding automated regression coverage, and transitioning to native Swift-based test automation. We follow an AI-first approach, actively integrating AI tools into our daily engineering workflows, including test design, automation development, code reviews, and debugging. We work in 2-week Scrum sprints, with daily meetings at 11:00 EET/EEST. Your role will involve owning the testing process end to end, from reviewing requirements and identifying potential risks to designing test cases, executing manual tests, and automating them where appropriate. Our ideal candidate has a strong product mindset, takes ownership of features, proactively identifies issues and opportunities for improvement, collaborates with different teams, and drives features through testing to a successful release. Tasks Manual Testing: Perform functional, regression, smoke, end-to-end and integration testing of new and existing iOS functionality. Review specifications, identify risks and edge cases, prepare test cases and checklists, and validate the redesigned UI across different screen sizes, device families, and iOS versions. Test Automation: Develop and maintain automated tests to expand regression coverage across product domains. Contribute automated tests for new functionality, including end-to-end tests, and add coverage for features that are not yet covered by developer-written tests. Automation Migration: Help migrate the existing test automation framework to Swift-based automation, improving maintainability, reliability, and regression coverage. API Testing and Debugging: Test REST APIs and JSON responses, validate integrations and real-time data flows, analyze network traffic using Charles Proxy or Proxyman, and investigate issues using device logs and debugging tools. Cross-Platform Testing: Collaborate with the Android team to verify cross-platform functionality and identify inconsistencies between iOS and Android implementations. CI/CD: Integrate and maintain automated tests in CI/CD pipelines, helping ensure reliable execution and timely feedback on product changes. AI-Assisted Workflows: Use AI tools in day-to-day QA activities, including test design, test automation, code reviews, and debugging. Requirements Mobile Testing Experience: 3+ years of experience testing native mobile applications, with a focus on iOS. Understanding of platform-specific features, guidelines, and limitations (Apple Human Interface Guidelines, Material Design). Test Automation: Hands-on experience building and maintaining mobile automated tests using Appium, XCUITest, and/or Espresso. Ability to design a scalable test automation framework from scratch using patterns such as Page Object or Screenplay. Programming Skills: Proficiency in at least one programming language used for test automation: Kotlin, Java, Swift, Python, or TypeScript. Ability to write clean, readable, and maintainable test code. Testing Theory and Test Design: Solid understanding of functional, regression, smoke, integration, and end-to-end testing. Experience with test design techniques, including equivalence partitioning, boundary value analysis, decision tables, and pairwise testing. Ability to write clear test cases, checklists, and bug reports. API Testing: Experience testing REST APIs and working with JSON. Familiarity with Postman, Swagger, API automation tools such as REST Assured, Retrofit, or requests, etc.). Basic understanding of WebSockets and real-time data testing. Debugging and Traffic Analysis: Experience using Charles Proxy, Proxyman, or Fiddler for traffic interception and mocking. Ability to inspect logs using Xcode Console, Android Studio Logcat, and adb. CI/CD and Test Infrastructure: Experience integrating automated tests into CI/CD pipelines using tools such as GitLab CI, GitHub Actions, Jenkins, or Bitrise. AI Tools: Willingness to use AI-assisted tools in everyday engineering workflows, including test design, test automation development, and debugging. Languages: English at B1 level or above and Russian at C2 level. Nice to have Experience writing mobile automated tests in Swift using XCUITest. Experience migrating legacy automation frameworks or transitioning between programming languages and testing technologies. Experience testing financial applications, trading platforms, or other products where data accuracy and reliability are critical. We offer Full-time remote work (service provider contract). Competitive compensation (EUR). Flexible working hours. Corporate AI subscriptions (Claude, Gemini, GPT, etc.). Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency. A strong team of engineers. Positive and friendly atmosphere. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark. Join us today, and let's shape the future of fintech together! Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted. #LI-JM1

Location: Poland; Warszawa, Польща On behalf of CloudTech Client #1 , SD Solutions is looking for a talented Senior DevOps Engineer - MSP to design, build, deploy, and maintain complex cloud environments for our customers using innovative automation tools and cutting-edge technologies. As a Senior DevOps Engineer, you will be responsible for architecting, maintaining, and evolving AWS cloud infrastructures, implementing and optimizing monitoring and alerting, troubleshooting issues, and developing automation to improve efficiency and reliability across environments. At AllCloud, our DevOps Engineers work with the latest and most advanced technologies. Some of the stacks we master daily for our customers include AWS, Docker, Kubernetes, Jenkins, CI/CD, Terraform, Ansible, Lambda, Python, Go, AI/ML, Big Data, IoT, and more - all while occasionally enjoying a game of 8-Ball or Nintendo Switch to keep things fun and collaborative. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Design and implement tailor-made cloud architectures based on customer needs. Manage multiple customer environments while adhering to industry best practices. Act as a trusted technical advisor to customers, ensuring alignment with business goals. Deploy advanced cloud services and automation solutions. Implement and maintain infrastructure automation and configuration management tools. Maintain a continuous feedback loop with customers to ensure deliveries meet expectations. Debug, troubleshoot, and resolve complex technical issues. Design, set up, and maintain large-scale monitoring and logging solutions. Requirements: 3+ years of hands-on experience with cloud providers (e.g., AWS, GCP). 3+ years of professional IT experience, with a strong Linux and networking background. Proven experience in a customer-facing role. Experience with security products (e.g., Firewalls, Web Gateways, Proxies). Strong experience with container technologies (Kubernetes, EKS, ECS, Swarm, Docker, etc.). Familiarity with Agile methodology. Proficiency in scripting with at least two languages: Python, Java, Bash, or PowerShell. Demonstrated creative troubleshooting and problem-solving skills. Fast learner with the ability to adapt to new technologies and domains. Strong foundations in Git and GitFlow methodologies. Experience with CI/CD platforms (Jenkins, CircleCI, CodePipeline, etc.). Hands-on experience with Infrastructure as Code (IaC) tools (Terraform, CloudFormation, CDK, Serverless Framework). Knowledge of serverless architectures . Advantages: Experience with system monitoring platforms (Datadog, Prometheus). Experience with centralized logging platforms (ELK / OpenSearch). Familiarity with GitOps methodologies (ArgoCD, Flux). Strong information security orientation. AWS certifications (Associate, Professional, or Specialty). Experience managing production-grade environments. Knowledge of AWS security tools and best practices (Security Hub, AWS Config, WAF, Shield, etc.). Familiarity with AWS Landing Zone and multi-account strategy. CKA / CKAD certifications. Eligible for or holding a security clearance. About the company: A global professional services company specializing in cloud enablement and digital transformation. An accredited partner at the highest tier with leading cloud, CRM, and data platform providers, the company helps organizations connect front and back offices through cloud adoption, data strategy, and analytics — delivering end-to-end managed services and consulting. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Serbia; Thailand; Poland; Cyprus; Israel Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Head of Supply . Your main tasks will be: Make sure we always have enough quality supply to cover client demand. Develop our supply sufficiency model and demand forecast. The base model exists; you’ll improve it or rebuild it if needed. Balance supply and demand by segments. Plan partner orders and control their delivery. Design partner incentives: payouts, bonuses, commissions. Connect supply costs with company P&L. Lead a team of ~20 people through team leads. Test new ideas on small groups first, then scale what works. You’ll work with Analytics and Product on this. Negotiate with key partners. Present your plans to senior management and align stakeholders. Keep partner work within compliance rules. We expect from you: 6+ years in supply, marketplace or partner management. Real examples of changes you led, with measurable results. Experience in supply and demand planning and forecasting. Strong knowledge of partner unit economics: payouts, cost to serve, payback. Experience with partner tier systems. Strong analytical skills, including designing experiments and measuring their impact. A business-first mindset and strong people management. Fluent Russian and English B2+. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: European Union What you'll be solving A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks. That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live. This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Understanding of Kubernetes internals – autoscaling and networking. You've personally driven a complex project end-to-end. Experience with AI coding agents and agentic development workflows. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Nice-to-haves: Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. Deep knowledge of EKS, GKE, or AKS internals. Container runtime experience CRI-O, runc, containerd. Cloud storage depth – block storage, CSI, volume management, filesystem internals. Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. Low-level systems programming experience in C or C++. Kubernetes or cloud-native OSS contributions. Experience with AI coding agents and agentic development workflows. Responsibilities: Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Participate in on-call rotation for teams that require it. Tools we use daily: Programming Languages: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Cyprus; Finland; Ireland; Malta; Moldova; North Macedonia; Sweden What you'll be solving A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks. That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live. This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Understanding of Kubernetes internals – autoscaling and networking. You've personally driven a complex project end-to-end. Experience with AI coding agents and agentic development workflows. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Nice-to-haves: Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. Deep knowledge of EKS, GKE, or AKS internals. Container runtime experience CRI-O, runc, containerd. Cloud storage depth – block storage, CSI, volume management, filesystem internals. Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. Low-level systems programming experience in C or C++. Kubernetes or cloud-native OSS contributions. Experience with AI coding agents and agentic development workflows. Responsibilities: Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Participate in on-call rotation for teams that require it. Tools we use daily: Programming Languages: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Estonia; Finland; Greece; Latvia; Romania; Sweden Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. About the role A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own. The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products. What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure). Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong debugging, optimization, and performance-tuning skills. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to have: Kubernetes operators, Helm chart authoring, admission webhooks. Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs. Local development environment tooling (devcontainers, Tilt, Skaffold, or similar). Kubernetes or cloud-native OSS contributions. Responsibilities: Design, build, and operate the CI/CD pipelines every engineering team ships through. Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production. Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop. Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround. Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure. Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you. Tools we use daily: Programming Language: Go Cloud & Orchestration: Kubernetes, GCP, AWS, Azure Infrastructure as Code: Terraform Databases & Storage: ClickHouse, Cloud Object Storage Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo CI/CD & GitOps: GitLab CI, ArgoCD, Kargo What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Cyprus; Ireland; Malta; Moldova; Montenegro; North Macedonia; Ukraine Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. About the role A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own. The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products. What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure). Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong debugging, optimization, and performance-tuning skills. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to have: Kubernetes operators, Helm chart authoring, admission webhooks. Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs. Local development environment tooling (devcontainers, Tilt, Skaffold, or similar). Kubernetes or cloud-native OSS contributions. Responsibilities: Design, build, and operate the CI/CD pipelines every engineering team ships through. Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production. Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop. Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround. Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure. Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you. Tools we use daily: Programming Language: Go Cloud & Orchestration: Kubernetes, GCP, AWS, Azure Infrastructure as Code: Terraform Databases & Storage: ClickHouse, Cloud Object Storage Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo CI/CD & GitOps: GitLab CI, ArgoCD, Kargo What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Poland; United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced Analytics Engineer to join our Data team as one of its first hires. You will own the transformation layer between raw data and business decisions: modelling our data in dbt, defining the certified metrics the company runs on, and setting the standards that every analyst and data scientist at ElevenLabs builds. - Drive the implementation of a world-class metric layer for the company: modelling conventions, project structure, testing, CI, and documentation. - Design and maintain the certified KPI layer for product (activation, adoption, retention, usage), finance (billing, ARR, revenue), and company-wide topics, built to withstand audit scrutiny. - Partner with Data Engineering on evolving the data warehouse architecture, and with stakeholders to turn ambiguous questions into trusted, reusable data products, including data served through AI agents. Requirements Demonstrated experience building and scaling a dbt project and metrics layer, ideally as one of the first analytics engineers on a growing team. - Expert knowledge of dbt and advanced SQL (required); strong grasp of dimensional modelling, grain, and incremental patterns. - Proficiency across the modern data stack (BigQuery or similar warehouse, Python, BI tools such as Looker). - Rigour around data quality: you test, document, and reconcile by default, and you spot a model that runs cleanly but is quietly wrong. - Strong ability to understand varied stakeholder requirements, push back where needed, and translate them into generalised, well-documented models. Bonus: - Experience modelling billing, subscription and ARR data (Stripe, Salesforce) or product event data at scale. - Experience serving data to LLM-based agents or building semantic / metrics layers consumed by AI tools. - Experience with CI for data (Slim CI, data contracts, PII policy tags) and infrastructure-as-code for warehouse access.   LOCATION This role is remote-first, so it can be executed from anywhere in Europe, with the ability to operate in GMT and GMT+1 timezones. If you prefer, you can work from our offices in London and Warsaw.   #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Ukraine Workplace: Remote Who Are We? Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing. We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously. With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting started. What We're Looking For We’re looking for a tech-driven and innovative Motion Designer to join our Creative Production team. This role is a perfect match for a modern creator who wants to operate at the absolute forefront of AI-driven video production, shifting focus from manual frames to cutting-edge generation workflows. In this role, you will lead the execution of high-impact video ads on a global scale, combining advanced AI media generation with smart, rapid video assembly for platforms like Facebook, TikTok, and Google. Key Responsibilities: - AI-First Video Production: Actively generate, direct, and upscale AI video, voice, and image assets using advanced pipelines to create high-converting video ads. - Smart Iteration & Scaling: Take winning creative angles and independently scale them into high-performing variations, adapting hooks and visual pacing based on performance insights. - Modern Workflow Assembly: Put together and polish final creatives with a strong focus on narrative pacing, dynamic text layouts, and clean compositing, keeping manual routine tasks to a minimum. - Collaborative Brainstorming: Contribute ideas for new AI-driven ad formats, testing methodologies, and technical approaches to visual storytelling. - Tech Pipeline Support: Keep up with the latest drops in the AI ecosystem and find ways to seamlessly integrate new generative tools into our daily production workflow. Required skills - Practical, hands-on experience with modern AI generation and dubbing tools (Kling, Veo, Higgsfield,Suno, ElevenLabs, etc.) — you know how to engineer prompts and clean up generated assets for production. - Strong proficiency in Adobe After Effects and Figma used as an execution environment (nesting assets, working with source layouts, fast assembly, and text animating). - A portfolio that demonstrates excellent visual pacing, understanding of digital ad dynamics, and a strong eye for typography and contrast. - A strong performance-marketing mindset: you intuitively understand what hooks attention in the first 3 seconds of a video. - Self-driven, organized, and comfortable managing your own asset delivery timelines in a fast-paced environment. - Open-minded approach to creative feedback and data-driven updates. Nice to have - AI Agents & Automation: Experience or strong interest in using AI assistants and agents (like Claude Artifacts/Skills, GPTs, or custom scripts) to automate routine motion design tasks and asset organization. - Next-Gen Pipelines: Familiarity with node-based generative tools or advanced AI video environments to build flexible, modular creative workflows. - Tech-Driven Delivery: A proactive mindset focused on shifting from manual framing to automated, rapid creative generation. - Working proficiency in English: Able to comfortably communicate with international teammates (text syncs, sharing assets, feedback) and easily learn from global technical resources. Candidate journey ⭕️ Recruiter call --> ⭕️ Meet the Hiring Manager --> ⭕️ Test Task --> ⭕️ Panel Presentation Check out some of our products Muscle Booster — https://musclebooster.fitness/ https://musclebooster.fitness/ Yoga-Go — https://yoga-go.io/ https://yoga-go.io/ WalkFit - http://walkfit.pro http://walkfit.pro

Location: Croatia; Cyprus; Estonia; Greece; Ireland; Malta; Romania Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine. What you'll be solving Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship. This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences. Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources. Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster. Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to haves Multi-tenant identity system design - authentication, authorization, SSO. Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync. Billing, audit-trail, notification, or feature-flag systems in production. Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability. High-cardinality time-series ingestion and querying at scale. Understanding of Kubernetes internals. CI/CD and DevOps practices experience. Observability tooling (Prometheus, Grafana, OpenTelemetry) in production. Responsibilities Design, build, and operate backend services in Go that other teams and customers depend on being correct. Own features end-to-end: from design through implementation, testing, and production rollout. Debug complex production issues involving security-, money-, or trust-critical flows. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Tools we use daily Programming Language: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab CI with ArgoCD What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Moldova; Montenegro; Slovenia; Ukraine Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro and Ukraine. What you'll be solving Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship. This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences. Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources. Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster. Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to haves Multi-tenant identity system design - authentication, authorization, SSO. Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync. Billing, audit-trail, notification, or feature-flag systems in production. Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability. High-cardinality time-series ingestion and querying at scale. Understanding of Kubernetes internals. CI/CD and DevOps practices experience. Observability tooling (Prometheus, Grafana, OpenTelemetry) in production. Responsibilities Design, build, and operate backend services in Go that other teams and customers depend on being correct. Own features end-to-end: from design through implementation, testing, and production rollout. Debug complex production issues involving security-, money-, or trust-critical flows. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Tools we use daily Programming Language: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab CI with ArgoCD What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: United Kingdom; Brazil; Ireland; Portugal; Singapore; Hong Kong; Poland Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Our Global Sourcing team is looking for an exceptional Sourcer to help build the future of global finance at Payward. This is a high-bar role requiring extreme ownership, sound judgment, and the ability to navigate complex hiring challenges in a fully remote, high-agency, async-first environment where speed and quality are the standard. Main differentiators between this role and any other Sourcer role on the market: - Managing uncertainty: Payward is at the forefront of the innovation spectrum. As such, you can expect to tackle roles that you have never heard about, with no prior experience, data or track record - Subject matter expertise: We are building one interoperable stack connecting crypto, tokenized assets, and traditional markets. We are looking for experts in the fintech field, or deep thinkers able to bridge that gap quickly - Pace: You will be expected to flex your sourcing skills across Tech, Non-tech and anything in between with a very quick turnaround, across different payzones and businesses under the Payward umbrella, including Kraken, Ninjatrader and Reap. - Builder mentality: We are not looking for a plain executioner but someone that will contribute to building something new, awesome and cutting edge - Team work: Our sourcing team’s track record is unprecedented - we provide velocity and quality to our pipelines through hard work, but always working as a team. We have no room for solo players or internal competition In return, we offer the chance to leave a mark in one of the most innovative companies in the space as well as the opportunity to join a world-class and high-performance team. If you believe you have what it takes, continue reading below. THE OPPORTUNITY - Partner with Hiring Managers and Recruiters to design and execute effective hiring strategies - Gather, organise and communicate competitive market intelligence, identifying where target talent exists and sharing industry trends - Collaborate with the broader sourcing team in leveraging best practices across research techniques, boolean searches, tools, networking and other sourcing methods - Independently develop and maintain candidate flow across a variety of disciplines, leveraging data to drive decision making and process improvement - Source candidates through a variety of search resources (social media, internal database, job boards, networking, internet searches, etc.) - Be an ambassador to Kraken/Payward, sharing our values and drive brand awareness in the market - Participate in research projects and other initiatives which improve the infrastructure of hiring WHAT YOU BRING - Exceptional track record sourcing talent for reputable, fast-growing, high bar technology/product businesses against ruthless competition. Bonus points if you’ve hacked it in crypto, fintech or any product-driven org - High craft - Ability to translate hiring needs into accurate sourcing strategies; strong expertise in boolean/X-ray sourcing - High motor - Scrappiness - you do not see problems but opportunities - Strong product sense - Sound appreciation for the fundamentals of talent acquisition, but creative and inquisitive when considering modern tactics - High agency, strong bias for action, and the confidence to push boundaries, influence stakeholders, and close exceptional talent without compromise. - Comfort in the chaos, thriving in ambiguity, owning your outcomes, and moving with urgency in a fully async, remote-native setting - Ability to produce compelling market intelligence based on business and industry knowledge - Fintech/crypto understanding required.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; London, United Kingdom; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Remote, Germany; Warsaw, Poland; Yerevan, Armenia Are you a builder who thrives in ambiguity, gets energy from talking to real users, and wants to turn emerging agentic AI capabilities into a product people actually rely on? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do NoPressure is an early-stage startup within JetBrains' Innovation Hub. We started by using AI-powered simulations to help people practice high-stakes workplace conversations. Now, we're exploring how agentic AI and real-world context can provide personalized, moment-of-need practice and support at work. We’re looking for an Entrepreneur in Residence / Product Lead to partner with our technical founder. This is a 0→1 role where you’ll define our vision and venture strategy. You’ll figure out who our ideal customer is, identify high-value use cases, and validate key hypotheses through rapid experimentation. Working alongside a small, fast-moving engineering team, you will shape both the product and how it gets to market, turning early signals into something organizations want to adopt. Day to day, you will: Define the product and venture strategy, identifying key uncertainties and deciding what to test and build first. Conduct continuous customer discovery to understand real workplace workflows, pain points, and behaviors. Pinpoint the most compelling ideal customer profile (ICP) and initial use cases for growth. Design and run lightweight experiments, prototypes, and agentic experiences to test hypotheses before committing full engineering resources. Establish clear metrics and evaluate commercial and behavioral evidence to decide whether to iterate, double down, or pivot. Shape positioning, messaging, and early acquisition or sales motions to bring the product to initial customers. Monitor market shifts, emerging agent architectures, and competitor developments to uncover new opportunities. Collaborate closely with the technical founder and engineering team to move quickly from ideas to shipped prototypes. What you’ll bring A builder mindset that favors quick prototypes and direct learning over waiting for perfect requirements. Deep curiosity about how people build new skills and navigate challenging interactions at work. Comfort operating with high autonomy, speed, and decision-making under uncertainty. Strong discovery skills that separate genuine demand and observed behavior from polite validation. Clear, direct communication skills for pitching to and working with senior decision-makers. Strong collaboration habits when partnering closely with engineering teams on AI-native products. What you’ll need A Track record of taking products or ventures from initial ambiguity to launch and early market adoption. Hands-on experience building, launching, or experimenting with AI/agentic products or emerging technologies. Demonstrated experience in early customer acquisition, founder-led sales, positioning, or commercialization. Experience in L&D, coaching, sales enablement, HR tech, or behavior-change products. The technical fluency required to evaluate agentic workflows and work directly alongside software engineers. End-to-end ownership experience across strategy, discovery, product development, and go-to-market strategy. What success looks like In this role, success means rapidly turning market ambiguity into actionable direction. You will establish a validated ideal customer profile and high-value use cases through real user evidence rather than assumptions. You’ll build an experimental cadence that uncovers genuine demand early, helping the team ship an agentic AI experience that users regularly rely on and organizations actively invest in. Why join JetBrains? Strong base salary – We offer competitive pay that reflects your skills and experience. Flexible work schedule – Enjoy the freedom to work from home or from the office. Extra time off – More days to relax, recharge, and do the things you love. Learning and development opportunities – Access to conferences, courses, and language classes. Relocation support – Assistance to help make your move as smooth and stress-free as possible. Free meals and snacks – Lunch and refreshments provided to keep you fueled. Health and wellness – On-site gyms or sports club stipends. Internal events – Company-wide celebrations and team gatherings. We are an equal opportunity employer. We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. If this sounds like the kind of challenge you’re looking for, we’d love to hear from you. We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Warsaw, Poland On behalf of FinTech Client # 9, SD Solutions is looking for a talented QA Engineer (Manual & Automation) SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Test new features by hand, deeply: exploratory testing of long, multi-role flows (pricing, eligibility, documents) Build and own automation: Playwright + TypeScript E2E and API tests, running in CI Keep the suite trustworthy: hunt down flaky tests, maintain selectors and test data, keep regression fast Own the release: run the QA board, test plans and regression, and give the go/no-go before every deploy Investigate production issues: use Sentry, Datadog, and PostHog to find the error, the logs, and the user session, reproduce it, and hand developers a ticket they can fix right away Requirements: 3–5 years in QA, with real, recent experience in both manual and automated testing Hands-on test automation with Playwright in TypeScript or JavaScript Comfortable with Git and CI (GitHub Actions or similar) API testing experience (Postman, pytest or similar) and solid SQL to verify data directly in the database A sharp eye for business-logic edge cases: states, roles, calculations, and flows that break halfway Understanding of how a financial company works: money flows, compliance, and why one wrong number matters Clear test plans, test cases and bug reports that a developer can act on without a follow-up question Daily use of AI tools in QA work (Claude Code, Cursor, Copilot or similar) to write tests, generate data and find gaps Detail-obsessed, and knows which details matter to the business Confident saying “not ready,” and explaining why calmly, with evidence Strong team player who works with developers, not against them Proven remote work: has tested and shipped for years from a home office, communicates in writing by default, and does not need someone nearby to stay unblocked Excellent English, written and live Organized, independent, and quick to learn a complex domain Advantages: US mortgage industry experience Built QA from scratch: planned how to cover a platform (test strategy, flows, regression scope) and ran it in Jira and Confluence Performance testing (k6) Security testing basics Python About the company: A direct marketplace for whole-loan mortgage transactions, providing lenders and investors with smarter pricing, automated eligibility assessment, and end-to-end transaction management — built to modernize an industry still heavily reliant on manual processes. The R&D team is based in Israel and works closely with colleagues in the US. This is a fully remote, long-term B2B contractor role paid in EUR, with real ownership of QA processes, tools, and standards. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Worldwide; Georgia; Armenia; Serbia; Poland Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for a Team Lead Software Engineer (.NET) . Your main tasks will be: Own delivery of the monolith-to-microservices modernization end-to-end — from legacy analysis through production release — with full visibility into pipeline status and risk. Partner with Product and Architecture to review specs, map legacy dependencies, and turn that into estimates the team can actually hit. Guide architectural decisions across .NET Core services, databases (SQL/NoSQL), and frontend integrations, and be the go-to for the hardest backend, data migration, and production incident calls. Sharpen how the team works day-to-day — tighter task tracking in Jira, more accurate estimation, and a QA partnership that keeps bugs resolved fast and production stable. Run regular 1-on-1s tied to real career goals, and drive the feedback and process changes that keep the team improving and engaged. We expect from you: Solid .NET engineering background with deep expertise in C#, .NET 8, and ASP.NET Core. Deep understanding of web application architecture, REST APIs, the microservices pattern, message brokers (RabbitMQ), and database design (PostgreSQL, MS SQL Server, Redis). Practical experience with legacy system modernization, monorepo-to-microservices refactoring, and containerization (Docker, Kubernetes). Ability to act as the technical escalation point for complex implementation, data migration, or performance issues. Proven experience managing engineering teams — running 1-on-1s, performance reviews, and objective evaluations. Strong track record in delivery management: task tracking in Jira, process discipline, and hitting internal deadlines with predictable releases. Experience reviewing business specs, assessing technical feasibility, and providing high-level estimates — partnering closely with PM and product to keep engineering output aligned with product goals. What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now! The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment.

Location: Remote; Portugal; Armenia; Serbia; Poland Workplace: Remote We are looking for a hands-on DevSecOps Engineer to join a fast-growing software development company delivering fintech and iGaming products. In this role, you will take ownership of security across cloud infrastructure, CI/CD pipelines, and development processes, helping build secure and scalable products. Responsibilities: - Drive the evolution of the company’s DevSecOps function by defining security initiatives, long-term priorities, and promoting a security-first engineering mindset - Partner with the DevOps team to improve the security and resilience of Kubernetes (EKS), Istio, Service Mesh, and related cloud-native infrastructure - Support engineering teams during service transitions by embedding security best practices into operational processes and ensuring effective knowledge sharing - Develop and maintain policy-as-code frameworks and infrastructure validation mechanisms using technologies such as OPA and other compliance automation tools - Improve the security of infrastructure provisioning and deployment workflows across Terraform, Ansible, and other Infrastructure-as-Code solutions - Integrate, maintain, and optimise security testing and scanning capabilities throughout the software development and release lifecycle - Build automation around security monitoring, compliance checks, and operational controls to increase efficiency and reduce manual effort Requirements: - Strong practical understanding of modern DevOps principles and secure CI/CD pipeline design - Hands-on experience with Kubernetes or other enterprise-grade container orchestration platforms - Proven experience working with Infrastructure-as-Code and configuration management technologies such as Terraform, Ansible, Chef, or equivalent tools - Solid background in administering production infrastructure, including web servers, databases, and supporting services - Good understanding of networking concepts, including TCP/IP, routing principles, and the OSI model - Experience securing distributed systems and microservices-based architectures - Proficiency with Git or other source code version control platforms - Practical experience securing cloud environments, preferably AWS, though experience with GCP or other major cloud providers is also valuable - Ability to assess infrastructure security posture, identify vulnerabilities, and implement appropriate remediation measures - Experience implementing identity and access management controls together with security automation practices - Hands-on knowledge of secrets management platforms (such as Vault) and Privileged Access Management (PAM) solutions - Experience integrating SAST, DAST, dependency scanning, container scanning, or similar security tooling into CI/CD workflows - Good understanding of Secure Software Development Lifecycle (SSDLC) principles and familiarity with security maturity frameworks such as OWASP SAMM v2 - English level: Upper-intermediate or higher What’s in it for you: - Fully remote working format - Competitive salary based on experience - Paid annual leave and sick leave - Opportunities for professional and career growth - Supportive environment focused on continuous development and long-term growth