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Location: Baku Workplace: onsite ABOUT YOU We are looking for a senior application security specialist to join a growing security team at Xsolla. This is a hands-on role where you will own security initiatives end-to-end - identifying, assessing, and driving remediation of security vulnerabilities across our products and infrastructure. You will lead day-to-day AppSec work - deep code reviews, vulnerability triage, threat modeling, and security testing - and set the standards for how this work is done. You are rigorous, pragmatic, and able to balance security risk against business velocity in a payment platform operating at scale. You will also mentor junior specialists and help raise the security bar across engineering teams. ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Own Vulnerability Management - Lead triage of bug bounty reports and scanner findings. Set severity standards, drive escalation policy, and ensure remediation SLAs are met across teams. Lead Security Assessments - Plan and conduct in-depth security assessments and penetration tests of web applications, APIs, and services. Define assessment scope and methodology. Drive Threat Modeling - Facilitate threat modeling sessions with engineering teams. Identify trust boundaries, data flows, and attack surfaces early in the design phase, and embed the practice into the SDLC . Own AppSec Tooling Strategy - Select, operate, and tune SAST , DAST , SCA , and secrets-scanning tooling. Design noise-reduction and auto-triage workflows; integrate security gates into CI/CD. Lead Secure Code Reviews - Perform security-focused code reviews across PHP, Python, and Go codebases. Define secure coding guidelines and review checklists for engineering teams. Mentor and Educate - Coach junior security specialists, run internal security training, and champion security awareness among developers. Write Clear Security Documentation - Document findings, reproduction steps, and remediation guidance in a way engineering teams can act on. Set the documentation standard for the team. What You Bring 4+ years in application security or a closely related security engineering role, with demonstrable ownership of AppSec programs or major initiatives. Deep Web Security Expertise - Expert-level understanding of vulnerability classes ( OWASP Top 10 and well beyond: SSRF , deserialization, request smuggling, OAuth/ OIDC flaws, business logic abuse). You understand root causes, exploitation chains, and realistic impact in production systems. Offensive Testing Proficiency - Extensive hands-on experience with Burp Suite and manual testing methodology. You can find vulnerabilities that scanners miss and chain low-severity issues into meaningful impact. Code Fluency - Comfortable reading and auditing code in at least one of: PHP, Python, Go, JavaScript. Able to trace data flows across services and spot vulnerable patterns without runtime access. Secure SDLC Experience - Practical experience embedding security into development workflows: security requirements, design review, CI/CD security gates, and developer enablement. Risk Communication - You can calculate and defend real severity, push back on inflated findings, and explain risk to both engineers and leadership in their own language. Analytical Thinking - You reason through problems methodically and can explain not just what a vulnerability is, but why it exists, how it is exploited, and what fixing it actually requires. Ownership and Follow-Through - You drive findings to resolution across team boundaries without being asked. Nice to Have Track record in bug bounty programs (accepted reports on major platforms) or notable CTF results; Strong automation skills - Python or Go for building internal security tooling; Experience securing cloud-native environments - GCP preferred; Kubernetes security a plus; Advanced certifications - OSWE , OSCP , BSCP , or GWAPT; Experience in payments, fintech, or other regulated environments ( PCI DSS familiarity); CVE credits, public security research, or conference talks. Xsolla operates across multiple time zones. Strong written communication is essential - you will need to document your work clearly so findings and context are not lost across handoffs. We value directness, intellectual honesty, and follow-through. If you do not know something, say so and find out. If you find something, explain it clearly and see it through to resolution.

Location: Limassol, Cyprus Workplace: on-site Our team is developing a payment gateway for accepting funds from users on behalf of merchants, as well as sending funds from merchants to users. The system involves storing user payment data and is subject to PCI DSS compliance. It contains multiple integrations with payment systems, providers, and other gateways and processors, including 3DS. Job Responsibilities Developing new payment features and services; Designing and implementing APIs (external and internal); Creating and maintaining processes in Camunda; Participating in the design and development of high-load system architectures; Supporting and enhancing existing solutions and services; Writing high-quality, test-covered code (unit tests, integration tests); Conducting code reviews, including frontend code; Optimizing system performance and database queries; Analyzing and resolving production incidents and bugs; Processing and resolving requests from technical support and users as part of daily duties; Analyzing documentation from external providers, conducting quick checks, and defining epics and tasks based on Proof of Concept; Collaborating with the QA team to ensure the high quality of the delivered product; Maintaining technical documentation and writing technical specifications; Assisting in onboarding new developers and ensuring code quality; Definition and formation of technical epics — analyzing existing solutions, identifying opportunities to improve system architecture, performance, and reliability, preparing improvement proposals, and aligning them with the team lead and architect; Participation in the creation of business epics — analyzing requirements, assessing feasibility, and proposing alternative or optimized solutions based on technical expertise; collaborating with analysts and product managers to determine the best implementation approach; Preparing tasks based on approved epics, ensuring proper detailing and alignment with architectural and business requirements; Estimating task completion timelines, participating in sprint planning, and providing accurate technical time and effort estimates. Important and Challenging Tasks: Creating and developing reliable payment solutions with high security and performance levels; Optimizing the performance and scalability of payment systems; Integrating complex external providers; Participating in ensuring system compliance with high-security requirements (PCI DSS and others). Technology Stack and Tools: Kotlin / Java; MySQL; Redis; Apache Kafka; Camunda 8; Redshift; Keycloak; AWS; Spring Framework; GitLab CI/CD; Jira; Sentry; Kibana; Grafana; AI-assisted coding tools (Copilot, ChatGPT, Codeium, etc.). You’ll thrive here if you have 3+ years of commercial development experience with Kotlin; Experience with the Spring Framework; Experience in developing payment solutions (billing, payment gateways, payment processors, exchanges); Practical experience integrating with external providers; Experience designing and optimizing relational databases (MySQL); Experience with NoSQL databases (Redis); Practical experience using AI-assisted coding tools (Copilot, ChatGPT, Codeium, etc.) to improve speed and quality of development; Ability to critically review AI-generated code, ensuring production-ready quality and compliance with company standards; Knowledge of Event-Driven Architecture principles and experience working with distributed messaging systems (e.g., Apache Kafka); Excellent command of core software development and design principles, test-driven development (TDD), and CI/CD processes; Experience implementing simple and moderately complex interfaces using ReactJS and/or Svelte; Strong understanding of microservice architecture; English proficiency level B1 or higher. Preferred Qualifications: Experience with Camunda (creating and supporting processes); Solid understanding of PCI DSS standards, ISO 27001, and other information security methodologies; Practical experience working with AWS; Experience with Jira and GitLab CI/CD. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. EU passport. Opportunity to obtain an EU passport after 4 years of residence Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family Corporate mobile plan (unlimited in Cyprus with roaming included) Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals Professional growth support: language courses, conferences, training programs, and coaching. Peer recognition program: receive and share kudos for great work. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (40 min); Interview with hiring managers (1,5 hour); Test task; Final interview (1 hour) optional; Recommendations check; Offer.

Location: Europe, Remote About Zencoder At Zencoder.ai , we build and orchestrate AI agents that ship real work - code, research, operations, and more. What started as developer tooling is becoming a platform where people and agents collaborate across knowledge work tasks. The Opportunity We're looking for an experienced engineer to raise the bar on how our organization builds, tests, ships, and operates software - for both human engineers and AI coding agents. This is AI harness engineering: the discipline of making the fundamentals (CI/CD, testing, IaC, observability, secure delivery) so solid and well-shaped that agents can work productively inside them. Developer experience and platform engineering are a subset of that work. When the harness is good, humans ship faster and agents stop getting stuck on things that shouldn't be hard. Security is inseparable from this. AI agents are accelerating both the pace and the shape of vulnerabilities, and secure delivery has to be built into the same stream as everything else - not bolted on. Product teams own their services, pipelines, and tests. Your job is to raise the ceiling across the org - defining standards, building leverage, and helping teams level up their workflows, tooling, infrastructure, security posture, and necessary changes to get the most out of coding agents. Key Responsibilities This is a hands-on lead role - you'll be deep in the code, infra, and pipelines yourself. Shape the platform and infrastructure that everything else runs on - the foundations product teams build on top of; Improve the full developer loop: local development, remote agents, CI/CD, deployment, observability; Build shared tooling, templates, and golden paths that create real leverage - paved roads teams actually want to use; Stay ahead of the shifting security landscape as AI agents reshape both how vulnerabilities emerge and how they're exploited. Essential Qualifications Strong software engineering background - you will be building both tooling and managing core infrastructure in this role; Real fluency with AI coding agents - how they work, where they fail, and what makes them effective; A product mindset toward internal tooling - treating engineers and agents as users, and measuring whether the platform actually makes them faster; Deep experience with CI/CD, automated testing, IaC, Cloud and developer tooling; A passion for software security and secure delivery practices (shift-left / SecDevOps etc) in both the classical context and the new AI agent context. Why Join Zencoder? Impact AI is reshaping how work gets done, and you'll be at the forefront of that shift, building a product that enables teams to get more done with AI. We use our own products every day, so you'll see how your work lands right away. AI-First We use AI to expand what one person can accomplish. You'll constantly rethink how you work: what to hand over to AI, and where your own judgment matters most. Ownership We keep the team small and give people real scope, autonomy, and equity. You'll take initiative, make decisions, and see your work through to real outcomes, raising the bar with every iteration. High Talent Density A small team of highly capable people moves faster and builds better. You'll work directly with senior teammates and our founder, Andrew Filev, in a flat structure where ideas win on merit, not titles. Remote-First We hire globally, prioritizing talent over location, so you can work where you're most productive. Prefer in-person? We have a hub in Barcelona with weekly co-working. Zencoder is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: Noida, India Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities The TeamViewer Digital Employee Experience (DEX) platform finds and resolves IT issues before they affect users. Over the past several years, we have successfully built and released products that make IT administrators' day-to-day life easier. Our vision is to become THE unified endpoint management solution for our customers. We’re looking for a Senior QA Engineer to play a key role in ensuring high quality in our DEX platform via consistent & reliable automated testing, with high coverage of our core functionalities. As part of an Agile team, you will be an individual contributor working on the automated testing of our DEX platform (both server and agent), using tools like Playwright, SpecFlow and other testing frameworks. The systems under test are the Platform Server (web application hosted on Azure Kubernetes for SaaS, and on IIS for on-prem) and Agent running as a background service on the endpoints (on Windows, Mac and Linux devices). Your duties will include manual testing, automated functional testing, test data management, maintenance of CI/CD pipelines in ADO and status reporting to senior management. Enhance the automated testing of DEX features across various platforms, including web, Windows, Mac and Linux Contribute to the development of our Automation and Scripting solution Integrate automated tests and maintain the CI/CD pipeline Conduct and enhance system tests, usability tests, regression tests, compatibility tests, and exploration tests with automation Collaborate with the development team to shape features for maximum testability, enabling robust functional and automated testing. Own the test planning, (automated) test development, test execution and test run reporting Write, review and execute test plans throughout the development life cycle Support, develop and improve (automated) testing strategies and techniques Collaborate or lead test automation projects and initiatives Find bugs, isolate, document, troubleshoot, and track your findings Ensure test plans thoroughly cover all requirements and customer use cases Communicate and report test execution results to the product team and leadership team Mentor and guide automation engineers, promoting best practices and continuous improvement Requirements A university degree in Computer Science or Engineering, Information Technology, or any other related subject 4+ years of experience in automated testing and quality assurance Knowledge of professional testing practices within the SDLC Proven skills and working history in the design and implementation of automated tests Experience in communicating with users, other technical teams, and team managers Experience in working with common software testing tools (Playwright, SpecFlow, Cypress, Ranorex, etc.) Knowledge of C# or Typescript/JavaScript, and SQL, with a good understanding of the fundamentals of relational databases Strong attention to detail with a passion for learning and working with innovative technologies Experience with API testing tools like Postman, and familiarity with JSON and XML Experience in manual testing Experience in working with VMs on Hypervisor, ADO build pipelines, and Azure environments ISTQB certification is a plus Experience in performance testing (and related tools, such as load simulation with JMeter, K6, LoadRunner etc) is a plus Experience in debugging and root-cause analysis is a plus Familiarity with AI-based tools like Co-pilot for Test generation is a plus Fluency in English is mandatory TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.

Location: Noida, India Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? Responsibilities As a Software Architect at TeamViewer, you will play a hands-on role in shaping practical, enterprise-grade software solutions that are scalable, secure, maintainable, and cost-effective. You’ll collaborate closely with engineering teams to design and implement modern architectures that support business goals while embracing cloud-native technologies, event-driven systems, and best practices in software development. This role is ideal for architects who enjoy staying close to code, solving real-world technical challenges, and contributing to the delivery of high-quality, high-performing systems designed for long-term success. Your primary responsibilities will include: Hands-On Architecture : Actively contribute to the design and development of enterprise-grade software solutions that are scalable, secure, cost-effective , and maintainable . Implementation Support : Work closely with development teams, offering practical, hands-on guidance throughout the full software lifecycle — from concept to deployment. Architecture Design : Collaborate on system architecture decisions, ensuring technical solutions align with business goals and modern engineering standards. Cloud-Native Development : Support the adoption and implementation of cloud technologies, especially on Microsoft Azure , including components like AKS and managed data storage technologies. Streaming and Scalability : Participate in the design of distributed, event-driven systems using technologies like Kafka , ensuring high availability and responsiveness at scale. Cross-Functional Collaboration : Work closely with product, engineering, DevOps, and security teams to ensure architectural solutions meet all functional and non-functional requirements. Documentation and Standards : Contribute to clear architectural documentation and help define development standards and best practices across teams. AI Integration Awareness : Contribute to solution designs that may involve AI capabilities , understanding where intelligent services or automation can enhance business value. Developer Efficiency : Promote the use of AI-enhanced developer tools like GitHub Copilot, Cursor , and similar IDE-integrated assistants to improve productivity, code quality, and consistency across teams. Continuous Learning: Stay current on technology trends and emerging tools, especially in cloud computing, AI, DevOps, and distributed systems. Requirements Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. 7+ years of professional experience in software engineering, including direct involvement in architecture and system design. Proven track record of delivering hands-on, real-world solutions — not just designing, but actively contributing to implementation and troubleshooting. Strong understanding of designing enterprise-grade systems that are scalable , secure , cost-conscious , and maintainable . Practical experience with Azure Cloud services, including compute ( Kubernetes on Azure (AKS ), storage and networking. Exposure to streaming platforms like Kafka , and an understanding of designing for high-throughput, event-driven environments. Deep expertise in at least one modern back-end programming language (e.g. C#, Java, C++), with the ability and willingness to learn new technologies as needed. Solid experience with data systems, including both SQL and NoSQL databases. Understanding of data modeling, performance tuning, and operational considerations at scale. Experience with OLTP and/or OLAP systems is a plus. Familiarity with integrating or leveraging AI services or frameworks in software architectures is a plus. Competent in modern development tools and practices: version control, CI/CD, infrastructure as code, observability, and performance tuning. Proficiency in using AI-assisted development tools such as GitHub Copilot, Cursor, or similar to accelerate development, enhance code quality, and improve developer workflows. Strong communication skills with the ability to clearly explain technical decisions to both engineers and stakeholders. A pragmatic, outcome-focused mindset that balances technical excellence with business needs and delivery timelines . TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.

Location: Ukraine; Spain; Poland; Portugal; Romania About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. Now we are looking for a Senior ML Operations Engineer to join us as part of our team. About the role As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team composition 1 Engineering Manager, 4 Senior ML Ops Engineers Work Environment The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. As a qualified expert, You will Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation. Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment. Provide mentorship, technical guidance, and perform code reviews for team members. Design and deliver on projects end-to-end with little to no guidance. Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC. Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities. Support the vision and values of the company through role modeling and encouraging desired behaviors. Participate in various cross-functional company initiatives and projects as requested. Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value. Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance. We’re looking for you if you have Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience). 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered). 4+ years of experience designing and building distributed software systems and architectures. 3+ years of hands-on experience deploying and operating Machine Learning services in production. Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance. Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker. Demonstrated experience with SQL and NoSQL database design and implementation. Ability to decompose complex problems into iterative, well-defined solutions. Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems. Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions. Ability to be a team player who can also work independently. Experience working across multiple development teams is a plus. Bonus points Experience with cloud platforms (AWS, Google Cloud Platform, or Azure). Proficiency in GitOps practices and CI/CD pipeline development and management. Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems. LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock). LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar). Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector). RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance. Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka. ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow. API development with FastAPI or similar frameworks. Java programming experience is a plus. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with the recruiter Live Coding (up to 30 min) Tech Interview: ML Fundamentals, Software Engineering (up to 60 min) ML System Design Interview (up to 45 min) Interview with Engineering Manager (60 min)

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU’LL DO As a Forward Deployed Infrastructure Engineer at Sierra, and a founding member of this function, you will own the end-to-end lifecycle of customer deployments, while helping define how Sierra’s AI platform is deployed and operated across enterprise environments. You'll work directly with enterprise customers to architect, deploy, upgrade, and manage Sierra's AI platform infrastructure — ensuring every deployment meets their security, compliance, and operational requirements. In addition, you’ll establish the standards, tooling, and processes that make deployments scalable and repeatable, and partner cross-functionally with Engineering, Product, Sales, and Customer Success. This role will define how Sierra scales some of its most complex customer engagements. - Own deployment architecture conversations and execution — designing and implementing deployment strategies across customer environments, including VPC configuration, permissioning, networking, and infrastructure provisioning. - Manage the full infrastructure lifecycle for some of Sierra’s most critical customers: initial deployment, ongoing upgrades, scaling, and incident support. - Develop and maintain deployment runbooks, upgrade procedures, and automation tooling to make operations repeatable and reliable. - Partner with engineering teams to ensure Sierra's platform is deployable and operable across diverse customer requirements. - Work with customers' platform engineering, security, and DevOps teams to navigate their infrastructure constraints and compliance requirements. - Collaborate with Sales and Customer Success to scope infrastructure requirements during pre-sales and onboarding, translating customer needs into concrete deployment plans. WHAT YOU'LL BRING - 4+ years of experience in infrastructure, DevOps, platform engineering, or solutions architecture roles — with significant time spent on customer-facing deployment work. - Deep experience with AWS services, Terraform, container orchestration, and cloud networking (VPCs, IAM, DNS, load balancing). - Track record of managing deployments in customer-owned cloud environments, including navigating security reviews, compliance requirements, and change management processes. - Ability to navigate ambiguity with enterprise stakeholders — from platform engineers to CISOs — and turn infrastructure conversations into actionable deployment plans. - Strong operational instincts: you think about upgrades, rollbacks, monitoring, and failure modes from the start, not as an afterthought. - Comfortable working in a fast-moving environment and collaborating across engineering, product, and go-to-market teams. - Degree in Computer Science or a related field, or equivalent professional experience. EVEN BETTER… - Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. - Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. - Familiarity with observability and incident management in distributed systems (Prometheus, Grafana, Datadog, or similar). - Experience with CI/CD pipeline design, deployment automation, or infrastructure self-service tooling for enterprise customers. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We're building AI-native development practices into how this team works at a foundational level. That means infrastructure design needs to account for a new kind of collaborator: AI agents that generate, deploy, and operate software. The Senior Software Engineer, Billing on this team will keep systems running, help define what safe, observable, AI-assisted infrastructure operations look like in practice, and model that standard for the rest of the team. _______________________________________________________________________ WHAT YOU'LL WORK ON The Billing Platform Engineering team owns the systems that make Docker's commercial model real. You'll work on problems like: - How do we design infrastructure that makes AI-generated deployments safe to ship and easy to roll back? - How do we instrument billing systems so that failures — billing miscalculations, entitlement gaps, payment errors — are detected immediately and unambiguously? - How do we build infrastructure that scales with usage-based billing workloads without manual intervention? - How do we make the developer experience on this team faster and more reliable — local environments, CI/CD pipelines, deployment tooling?_______________________________________________________________________ RESPONSIBILITIES - Own and evolve the infrastructure supporting Billing Platform services: compute, storage, networking, CI/CD, and observability - Design and maintain IaC (Terraform) for billing system infrastructure on AWS; contribute to module patterns and standards for the team - Build and own observability systems — metrics, logging, alerting — with a focus on billing accuracy and payment reliability - Implement deployment patterns and runbooks that work well in an AI-agent-assisted development workflow: clear rollback procedures, safe promotion gates, automated validation - Partner with software engineers on service design — bringing infrastructure constraints and operational requirements into the conversation before code is written - Identify systemic risks in the team's systems and drive improvements, including work that reaches into adjacent teams or services - Participate in incident response for billing system issues. This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. - Mentor engineers on the team; your technical judgment should help raise the bar for how the team builds and operates _______________________________________________________________________ QUALIFICATIONS - 6+ years in platform, infrastructure, or SRE roles supporting production SaaS systems at scale - Strong AWS expertise: ECS or EKS, RDS (Postgres preferred), networking, IAM, cost management — you've operated these systems under real load and real incidents - Strong Terraform skills; you've built reusable module patterns and can improve the ones a team relies on - Experience building and owning observability stacks (Datadog, Grafana, or similar) for production services — not just using them - Strong familiarity with CI/CD systems — Jenkins, GitHub Actions, or equivalent — including pipeline design and developer experience - Kubernetes at an operational and architectural level - A track record of identifying systemic risks and driving improvements within your team and adjacent systems - Security-first mindset: threat modeling, blast radius analysis, least-privilege by default, audit trails as a design requirement - Strong written English; clear written communication is how you scale your work across the team - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience ON-CALL Operational ownership is part of the job. You’ll join the rotation after onboarding and shadowing, and help improve on-call itself: better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention. WHAT SETS YOU APART You don't wait for problems to be handed to you — you find them, frame them, and drive the solution. You've operated at a scope where your decisions affected the systems your team owns, and you know how to build alignment and move work forward without direct authority. You've thought seriously about what infrastructure needs to look like when AI agents are generating and shipping code — safe deployment patterns, strong observability, clean rollback — and you want to help define that standard here. Experience with billing, payments, or financial systems infrastructure is a meaningful plus. _______________________________________________________________________ WHAT TO EXPECT First 30 days You will ship code in your first week. We run an agent-first development workflow — infrastructure changes start with a plan, specifications are written before generation, and every change is reviewed before it merges — and onboarding is no exception. You will get hands-on with the infrastructure supporting Billing Platform services early, shadow on-call, and build a clear picture of the system before you start making bigger changes. By the end of 30 days you will have shipped real work and know where the most important problems are. First 90 days You will have taken ownership of one or more infrastructure components and delivered an improvement from design to production with measurable impact. You will be an active participant in deployment and reliability discussions, bringing infrastructure constraints and operational requirements into the conversation early — before code is written. You will be a full participant in the on-call rotation and will be contributing to the team's technical direction. One year outlook You will be one of the team's go-to engineers on billing infrastructure. You will have driven meaningful improvements to observability, deployment safety, or platform reliability — and your work will be directly visible in the resilience and correctness of systems that handle real financial transactions for millions of Docker users. You will have helped define what AI-agent-assisted infrastructure operations look like done right. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $160,900 – $260,700 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Global Remote Workplace: remote Metabase is the easiest way for people to get insights from their data, from tiny startups who get up and running quickly to major corporations with tens of thousands of users. That's why people love us.   We bring data tools with the elegance and simplicity of consumer products to the crufty world of enterprise business intelligence. We provide an opinionated open source starting point for how companies should measure, analyze and share their data, which is used by tens of thousands of companies. Our engineering team of ~70 people is fully distributed across the globe, and we work hard to build an async-friendly, shipping-focused engineering culture.   About the Role   We're seeking CI Engineers to join our engineering team and help keep our testing and release infrastructure healthy, fast, and reliable. This is a critical role — our CI and testing systems are complex, deeply relied upon, and continuously evolving.   You won't be writing product features, and you won't be expected to author new test coverage. Instead, your job is to own the health and reliability of our CI systems end to end. That means supporting the engineers who are writing tests, but it also means taking initiative — spotting problems before they become outages, identifying patterns in flakiness before they erode confidence in the test suite, and proactively improving the release process rather than waiting for things to break. We want someone who feels a genuine sense of ownership over these systems and acts accordingly.   This is a great role for a self-directed engineer who takes pride in the reliability of the infrastructure others depend on, and who can both identify problems as well as solve them. What You'll Do Own and proactively improve our GitHub Actions-based CI pipelines — not just fixing what breaks, but anticipating bottlenecks and reliability issues before they impact the team Triage and resolve flaky tests across a large, multi-layered test suite spanning unit, integration, and end-to-end tests — identifying systemic patterns, not just one-off fixes Support ongoing releases and take ownership of improving the release process over time Act as a first responder to emergent CI infrastructure issues, diagnosing and resolving them quickly and independently Support product engineers who are writing tests using Cypress, Jest, and our home-grown Clojure-based test frameworks Manage test infrastructure across a wide matrix of databases — we test against nearly all major transactional and analytical cloud databases including PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, and more Document and communicate clearly and asynchronously across a globally distributed team — and keep the broader engineering team informed about the state of CI health without being asked, as well as communicating and demonstrating best practices. What We're Looking For Demonstrated experience working with CI/CD systems in a professional engineering environment — you don't need to be a 10-year veteran, but you need to have done this work, done it well, and owned it A proactive, ownership-driven mindset — you notice things that are heading in the wrong direction and fix them without waiting to be asked The independence to manage your own priorities and operate effectively without close supervision across a globally distributed team Solid understanding of GitHub Actions or comparable CI platforms Experience with JavaScript testing tools, particularly Cypress and/or Jest Comfort with containerization (Docker) — our database test matrix depends on it Solid shell scripting skills (Bash) Experience diagnosing and fixing flaky tests in large test suites Strong async written communication skills — this is a remote-first, globally distributed team Curiosity and a systematic approach to debugging unfamiliar systems Nice to Have Familiarity with Clojure and TypeScript Experience testing against or operating cloud data warehouses or analytical databases Experience building and supporting software release pipelines Why This Role You'll have real ownership over systems that directly affect the productivity of a 70-person engineering team You'll work on infrastructure that supports widely used open source software Fully remote, any timezone — we're serious about async-first culture You'll have the autonomy to identify and drive improvements rather than just work a ticket queue Compensation The US base salary range for this role is $116K–$213K annually, plus equity and benefits. Compensation is determined by role, level, location, and individual qualifications, including skills, experience, and scope of responsibility. Pay may vary by geographic location and other job-related factors. Benefits We offer meaningful equity and a comprehensive US benefits package, including fully employer-covered medical, dental, and vision insurance (with 75% coverage for dependents), a 401(k) with employer match available to enroll after the first 30 days, flexible and unlimited paid time off including sick time, and an asynchronous, remote-first environment. We're a global team (50% outside the US), fully distributed (from Thailand to California), who get things done asynchronously, with plenty of uninterrupted time, supporting each other to do the best work of our careers. We offer flexibility (define your own schedule and work from wherever you want), autonomy, and an environment that fosters growth, learning, and development. We're relentlessly user-focused and believe in building long-term value, not short-term hacks. And we raised a $30M Series B to take our approach to the next level for years to come.   For U.S. applicants: Metabase participates in the federal E-Verify program, which confirms employment authorization of newly hired U.S. based employees. E-Verify is not used as a tool to pre-screen candidates and is only initiated upon hire.   E-Verify Participation Notice (English/Spanish) Right to Work Notice (English/Spanish)

Задачи: — Разработка новых функций и продуктов на TypeScript. — Участие в обсуждениях и принятии технических решений. — Участие в планировании и оценке сроков. — Написание unit-тестов с использованием TypeScript и Jest. — Исправление багов, зарегистрированных в Jira. — Хорошее понимание внутренних и сторонних инструментов. — Проактивное улучшение внутренних процессов, инструментов и библиотек. — Участие в процессе релизов и деплоя. — Сотрудничество с младшими разработчиками и помощь в их развитии. — Повышение собственного уровня и развитие навыков. Требования: — Более 6 лет опыта разработки, предпочтительно с TypeScript и Node.js. — Продвинутые навыки фронтенд-разработки с использованием React или аналогичных технологий. — Значительный опыт работы с Git и системами контроля версий. — Глубокое понимание систем сборки JavaScript и пайплайнов разработки. — Практический опыт работы с фреймворками тестирования, такими как Jest или Mocha. — Хорошее понимание Redux и Immer или аналогичных библиотек неизменяемости. — Хорошие знания SSH. Преимущества: — Опыт работы с C++. — Понимание CI/CD пайплайнов. — Хорошее знание Docker и Linux-систем. — Опыт работы с WebSockets и долгоживущими приложениями. — Знакомство с AWS. — Интерес к автоматизации и разработке библиотек. Условия: — ДМС. — Оплачиваемый ежегодный отпуск до 25 дней. — Бесплатное членство в спортивном клубе. — Возможность получения ВНЖ/ПМЖ в Болгарии.

Location: Georgia Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are seeking a dynamic and motivated Senior AI NodeJS Engineer with a strong focus on developing AI Agents. If you have an understanding of AI technologies and thrive on applying diverse tech stacks to build innovative solutions, we want to hear from you. This role involves not only technical expertise but also collaboration with clients to understand and refine project requirements. WHAT YOU WILL DO - Collaborate with cross-functional teams to design and build AI Agentic solutions. - Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production. - Take ownership of assigned tasks and deliver high-quality, maintainable code. - Manage backend tasks while contributing to frontend development. - Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge. - Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions. EXPERIENCE AND SKILLS YOU NEED TO JOIN US - Experience in full-stack development using mainly NodeJS (with TypeScript). - At least 1 year of experience in AI Engineering role. - Versatile in technology use, comfortable working across backend and frontend tasks. - Track record in staying current with AI and Agentic technologies, including best practices and architecture. - Openness to client collaboration, fostering clear communication and effective partnership. - Strong commitment to learning new technologies and swiftly adapting to new products and APIs. - Understanding of Retrieval-Augmented Generation (RAG) and its applications. - Familiarity with Multi-Agents concept, tools usage and MCP Servers. - Hands-on experience with LLM APIs/SDKs (e.g., OpenAI, Anthropic). - Knowledge of LLM orchestration and frameworks like Langchain or LlamaIndex, with practical implementation experience. - Understanding of prompt design principles and an ability to create effective prompts. - Experience configuring services on cloud platforms (e.g. AWS, Azure, GCP). - Basic experience with CI/CD pipelines and DevOps best practices. - Competence in REST API usage and efficient database integration. - Fluency in English language. IT WOULD BE GREAT IF YOU ALSO HAVE - Basic knowledge of machine learning principles. - Understanding Python source code. - Experience with React. - Experience with model fine-tuning and distillation. - Familiarity with LLM evaluation. - Experience with Model Context Protocol (MCP). - Experience with graph databases. - Familiarity with other programming languages and frameworks. - Familiarity with Voice Agents concepts and related frameworks e.g. Pipecat. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Canada; Serbia Workplace: remote ABOUT YOU We are looking for a Senior Software Engineer (Full-Stack) who is architecturally strong, quality-driven, and highly collaborative to join our Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to lead full-stack architecture decisions, build scalable distributed systems, and drive shared platform strategies across backend, frontend, and cloud ecosystems. Strong expertise in Go and React (JavaScript/TypeScript), along with deep knowledge of cloud-native architecture patterns and event-driven system design, is essential, along with experience in building and delivering commercial applications from concept to launch. The ability to design scalable service architectures, implement robust testing strategies (including integration and E2E), optimize performance across the full stack, and mentor other developers while collaborating across cross-functional teams will be key to your success in this role. If you're passionate about building high-quality, resilient systems that scale and love designing seamless platform experiences powered by event-driven workflows, cloud infrastructure, and modern web interfaces that drive gaming, virtual currency, and digital commerce experiences, we would love to hear from you! ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Qualifications & Skills: 5+ years of professional software engineering experience, with a strong focus on full-stack development using Go and React (JavaScript/TypeScript) Deep understanding of backend architecture patterns including microservices, event-driven architecture, and domain-driven design Hands-on experience designing and building RESTful APIs and/or gRPC services in Go, with a focus on performance, reliability, and maintainability Strong proficiency in React, including modern patterns such as hooks, context, and state management libraries (Redux, Zustand, or similar) Proven experience with cloud platforms (AWS, GCP, or Azure), including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, Pulumi, or similar) Solid experience with message brokers and event streaming platforms such as Kafka, RabbitMQ, NATS, or similar technologies Strong knowledge of relational and non-relational databases (PostgreSQL, MySQL, Redis, MongoDB, or DynamoDB) Experience implementing CI/CD pipelines and automated testing strategies, including unit, integration, and end-to-end testing Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, or similar) Strong understanding of distributed systems concepts such as eventual consistency, idempotency, fault tolerance, and retry strategies Experience mentoring junior and mid-level engineers and contributing to architectural decision-making processes Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams including product, design, and DevOps A proactive, ownership-driven mindset with a passion for writing clean, well-documented, and testable code Nice to Have: Experience with serverless architectures (AWS Lambda, Cloud Functions) Familiarity with GraphQL Exposure to WebSocket or real-time communication protocols Experience in gaming, virtual currency, digital commerce, or fintech domains Contributions to open-source projects Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Tech Lead, we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification.   Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com

Задачи: — Активное участие в развитии платформы — Проектирование инфраструктуры и внедрение продуктивных сервисов — Выявление и устранение проблем, связанных с инфраструктурой — Взаимодействие с командой разработки для улучшения процессов деплоя и тюнинга сервисов — Обеспечение непрерывной работоспособности продуктивных сервисов Требования: — Общий релевантный опыт — от 4 лет — Практические навыки администрирования Linux (в т. ч. BareMetal), систем виртуализации и оркестрации — Уверенная работа с CI/CD‑инструментами — Опыт работы с системами мониторинга и логирования (VM, Grafana Loki) — Развитый навык оперативного решения возникающих проблем — Навыки работы в команде — Уверенное понимание сетей и распределённых систем — Обучаемость — Практический опыт и стремление к автоматизации — Знание Golang Будет плюсом: — Опыт работы с Kafka, Redis, PostgreSQL, Java, Rust — Опыт работы с high load Условия: — Оформление по ТК РФ — График работы: 5/2 — Место работы: Иннополис (предоставляем жильё) — Своевременная выплата заработной платы — 2‑разовое питание — Полный соцпакет: ДМС, абонемент в спорткомплекс/тренажёрный зал

Location: Morocco We are looking to hire passionate Senior AI Engineers to help turn data into intelligent, production-ready solutions. You will work across the full AI stack: traditional machine-learning models, large language models (LLMs), computer-vision pipelines, and analytics / forecasting workflows. If you enjoy exploring data, building state-of-the-art models, and shipping reliable AI services, we would love to meet you. Responsibilities Model Development – Design, train, fine-tune, and evaluate models spanning classical ML, deep learning (CNNs, transformers), and generative AI (LLMs, diffusion). Data Exploration & Analytics – Conduct exploratory data analysis, statistical testing, and time-series / forecasting to inform features, prompts, and business KPIs. End-to-End Pipelines – Build reproducible workflows for data ingestion, feature engineering / prompt stores, training, CI/CD, and automated monitoring. LLM & Agentic AI Engineering – Craft prompts, retrieval-augmented generation (RAG) pipelines, and autonomous/assistive agents; fine-tune LLMs on domain-specific datasets to boost accuracy and align outputs with product requirements. AI Automation & Integration – Expose AI components as micro-services and event-driven workflows; integrate with orchestration tools (Airflow, Prefect) and business APIs to automate decision pipelines. Continuous Learning – Track advances in LLMs, vision, and analytics; share insights and best practices with the wider engineering team. Mentor junior engineers and contribute to technical direction and engineering best practices. Requirements BSc in Computer Science, Mathematics, or related field. 5+ years of professional experience working on AI/ML projects. Good command of English and Arabic (written and spoken). Proficient in Python and core libraries (PyTorch / TensorFlow, scikit-learn, pandas, NumPy). Solid understanding of machine-learning algorithms, deep-learning fundamentals, and basic statistics. Experience with data wrangling and visualization (Matplotlib / Plotly) and exploratory analysis. Familiarity with at least one of: OpenCV, Hugging Face Transformers, LangChain, MLflow, or similar. Good grasp of software-engineering best practices: Git, code reviews, testing, CI. Preferred Qualifications Knowledge of C++ or C# for performance-critical modules. Experience deploying models via Docker, Kubernetes, or cloud AI services. Exposure to vector databases and RAG workflows. Skill in BI / dashboard tools (Power BI, Tableau, Streamlit) or time-series frameworks (Prophet, statsmodels). Familiarity with MLOps / LLMOps tooling (DVC, MLflow Tracking, Weights & Biases, BentoML). Experience with image processing techniques (e.g., OpenCV, image segmentation, feature extraction) Experience with Spark (PySpark) and distributed data processing, including usage of platforms such as Databricks, AWS EMR, or GCP Dataproc. Strong SQL skills and experience working with large-scale datasets, including partitioning and performance tuning. Familiarity with modern data lake architectures and scalable data storage concepts.

Задачи: — Разработка и развитие системы автоматизации комплексного функционального и нагрузочного тестирования сетевой операционной системы, включая оркестратор и сценарии для него; — Создание и развитие автотестов для системы; — Описание сетевых топологий, воспроизводящих типичные конфигурации заказчиков, в виде программного кода; — Участие в проектировании и написании CI/CD пайплайнов; — Взаимодействие с разработчиками для реализации сценариев тестирования и формирования задач по устранению неисправностей. Требования: — Знание методик тестирования ПО и сетевых решений (smoke тесты, юнит-тесты и др.); — Знание протоколов динамической маршрутизации (BGP, OSPF); — Уверенная работа в Linux; — Понимание сетей на базе Ethernet и IP; — Умение автоматизировать задачи на Python и Bash, включая написание скриптов и разбор сложного кода; — Опыт работы с виртуализацией QEMU-KVM и контейнерами Docker; — Опыт эксплуатации и диагностики сетевых инфраструктур на базе Ethernet и IP. Будет плюсом: — Опыт эксплуатации Ethernet и IP-сетей; — Опыт написания автотестов и работы с тестировочными фреймворками; — Опыт работы с веб-фреймворками Django, Flask или эквивалентами; — Опыт работы с базами данных для создания микросервисов; — Опыт работы с CI/CD средами, особенно Jenkins; — Опыт эксплуатации виртуализированных облачных инфраструктур в Linux; — Опыт работы с контейнеризированными сервисами; — Опыт работы с Jenkins Pipeline и Apache Groovy DSL; — Понимание процесса разработки ПО, работы с SCM (Git, GitLab), DevOps и CI/CD; — Опыт работы с трекерами задач (Jira) и проектной работой по Agile Scrum; — Английский язык для чтения технической документации. Условия: — Формат работы: удаленный или гибрид; — Официальное оформление по ТК РФ в аккредитованной ИТ-компании с соответствующими привилегиями для сотрудников.

О РОЛИ Мы ищем опытного backend-разработчика для усиления Web3-направления. Роль предполагает проектирование архитектуры, разработку ключевой серверной логики и развитие масштабируемых API. Основной фокус — производительность и устойчивость системы при работе с блокчейн-сервисами. ОСНОВНЫЕ ЗАДАЧИ — Проектирование и реализация сложной backend-логики на Python. — Развитие API и глубокая интеграция с внешними Web3-сервисами. — Оптимизация производительности и устойчивости высоконагруженных компонентов. — Участие в принятии ключевых архитектурных и технических решений. ТРЕБОВАНИЯ К КАНДИДАТУ — Опыт разработки на Python (FastAPI) от 1,5 лет. — Практический опыт работы с брокерами сообщений (Kafka) и кэшированием (Redis). — Опыт реализации межсервисного взаимодействия через gRPC. — Глубокое понимание микросервисной архитектуры и проектирования REST API. — Наличие завершенных проектов в сфере Web3. — Уверенное владение Django (ORM, middleware, management commands). БУДЕТ ПРЕИМУЩЕСТВОМ — Опыт работы с Docker и понимание принципов CI/CD. — Навыки оптимизации высоконагруженных (highload) систем. — Опыт работы с асинхронными фреймворками (ASGI). УСЛОВИЯ РАБОТЫ — Участие в разработке инновационных масштабируемых сервисов. — Реальная возможность влиять на архитектурный облик продукта. — Конкурентная заработная плата в стабильной валюте. — Работа в сильной инженерной команде с возможностью профессионального роста.

Задачи: — Разработка модуля ядра Linux (управление файлами и процессами). — Реализация логики контроля доступа (перехват системных вызовов, работа с VFS). — Адаптация кода с Windows на Linux (переписывание драйверной логики). — Глубокая оптимизация, отладка (perf, strace, GDB) и интеграция с Java-модулями. Требования: — Знание C/System programming: POSIX API, mmap, epoll/inotify, процессы/потоки, IPC. — Опыт создания модулей ядра Linux, понимание VFS, системные хуки (ptrace/seccomp). — Навыки отладки и профилирования: GDB, perf, strace. — Владение инструментами: Makefile, CMake, Git, CI/CD. — Знания в области безопасности: защита данных на уровне драйвера, учет уязвимостей. — Опыт работы в корпоративных системах безопасности (DLP, EDR, HIDS) и с пользовательскими функциями ОС. Условия: — Полный рабочий день (фултайм). — Работа удаленно, только на территории РФ. — Процесс отбора: тестовое задание и собеседование.

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We're hiring a Senior Dev/MLOps Engineer to join our Data & Compute Platform team based in London. WHAT YOU’LL DO - Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement. - Build and maintain robust CI/CD pipelines for both software and ML workflows. - Ensure reliability, scalability, observability, and security of production systems and ML infrastructure. - Automate deployment, orchestration, and environment management using modern DevOps tooling. - Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. - Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. - Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering. - Document infrastructure, workflows, and operational procedures clearly and thoroughly. WHAT WE'RE LOOKING FOR - Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. - Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. - Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). - Solid understanding of CI/CD systems (e.g., GitHub Actions, GitLab CI, ArgoCD) and infrastructure-as-code tools (e.g., Terraform, Helm). - Familiarity with data engineering concepts such as ETL pipelines, data lakes, and large-scale batch/stream processing. - Ability to design scalable, secure, and observable systems in fast-moving environments. - Strong debugging and problem-solving skills across distributed systems. - Excellent collaboration and communication skills, with experience working in cross-functional teams. - Understanding of security and compliance best practices for both software and ML systems. WHAT WE OFFER - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support. - Equity included–we believe builders should share in what they build. - Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.