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Location: Poland; Lithuania; Slovakia; Romania; Hungary; Ukraine About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a highly skilled AI Automation Engineer to design, build, and optimize automated workflows using AI tools and integrations. This role is ideal for someone with a strong technical background who is passionate about leveraging AI (e.g., LLMs, APIs, and no-code/low-code tools) to eliminate manual processes and improve operational efficiency. You will work closely with cross-functional teams including sales, marketing, and customer success to implement intelligent automation systems that scale. Key Responsibilities Design and implement AI-driven automation workflows using tools like Zapier, Make (Integromat), and custom APIs Build and deploy solutions leveraging LLMs (e.g., OpenAI, Claude) for business process automation Integrate CRMs (HubSpot, Salesforce), support tools, and internal systems for seamless data flow Develop scripts and backend logic (Python, JavaScript) for advanced automation use cases Optimize lead generation, outreach, and customer support workflows using AI tools Monitor, troubleshoot, and improve automation performance and reliability Collaborate with stakeholders to identify automation opportunities across departments Stay updated with the latest AI and automation trends, tools, and best practices Requirements 2+ years of experience in automation, software engineering, or AI-related roles Strong experience with automation platforms (Zapier, Make, n8n, etc.) Proficiency in Python and/or JavaScript Hands-on experience with APIs, webhooks, and system integrations Familiarity with LLMs (e.g., OpenAI API) and prompt engineering Experience working with CRMs like HubSpot or Salesforce Strong problem-solving skills and ability to design scalable systems Excellent communication skills for working in a remote, global team Experience in SaaS, sales automation, or growth systems is a strong plus Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Warsaw, Poland; Madrid, Spain; Tbilisi, Georgia; Yerevan, Armenia; Bratislava, Slovakia; Podgorica, Montenegro CloudLinux is transforming the Linux infrastructure market by ensuring security and stability for over 500,000 servers worldwide. Our products - CloudLinux OS and Imunify360 - are the de facto standard in the hosting industry and Enterprise segment. We are seeking a visionary engineer to lead the evolution of our data platform. In 2025, we are shifting from classic database administration to an Internal Database-as-a-Service (DBaaS) model. We need a specialist who doesn’t just "configure backups," but designs resilient distributed systems, writes code to automate infrastructure, and transforms databases into a reliable service for product teams. If you are tired of endless tickets and want to build platforms capable of processing petabytes of data, this role is for you. Your Challenges & Responsibilities: DBaaS Architecture: Design and implement a self-service platform based on Terraform and Ansible , enabling the deployment of HA clusters (PostgreSQL and ClickHouse, MongoDB, Redis) in a heterogeneous environment (Bare Metal + OpenNebula + Kubernetes + Public Clouds). You will turn infrastructure into a product. Scaling ClickHouse: Manage exponentially growing analytics clusters (12+ clusters, tens of terabytes of data). You will tackle sharding, table engine optimization (ReplicatedMergeTree), and building reliable S3 backup pipelines under high load. Data Platform & Analytics Support: Maintain and scale the infrastructure for Apache Airflow and Redash. You will ensure the reliability of ETL pipelines and visualization tools, bridging the gap between raw infrastructure and the data analytics team. Reliability as Code: Implement SRE practices in data management. Replace manual incident response with automated self-healing mechanisms. Define and implement SLO/SLI for all databases. Stack Modernization: Lead the migration process from legacy solutions to modern cloud patterns. Participate in decision-making regarding the implementation of Kubernetes operators for stateful workloads. Expertise & Mentorship: Serve as the technical authority for product teams, helping them optimize data schemas and SQL queries for high-load systems. Our Tech Stack: Databases : PostgreSQL 15+ (Patroni, PgBouncer), ClickHouse (Sharded/Replicated), MongoDB, Redis, Kafka Data & Analytics: Apache Airflow, Redash (Infrastructure & Integration). Infrastructure: Own 3+DC colocation (OpenNebula, Kubernetes, Bare Metal), AWS, Google Cloud, Azure, DO – Hybrid Cloud. Automation & IaC: Terraform, Ansible, Python/Go, GitLab, Jenkins, Gerrit. Observability : VictoriaMetrics, Grafana, Loki. Why CloudLinux? Culture: A Remote-first company with an "Employees First" principle. We value results, not hours in the office. Impact: Your architectural decisions will determine the stability of services used by thousands of companies around the world. Growth: We support professional development and pay for training and conferences. Requirements What We Expect From You: AI-Augmented Engineering: You don't view AI as a replacement for deep technical fundamentals, but as a high-leverage tool. We actively use AI agents (Claude, Codex, Gemini, etc.) to automate boilerplate, analyze complex logs, and speed up research. We expect you to be open to modern workflows and integrate AI into your day-to-day operations, allowing you to focus your brainpower on the true architectural challenges. Deep PostgreSQL Expertise (5+ years): You know MVCC internals, understand locking mechanics, can configure Patroni and PgBouncer "with your eyes closed," and have experience with seamless major version upgrades under load. ClickHouse Mastery: Experience operating large clusters, understanding ZooKeeper/ClickHouse Keeper, sharding, replication internals, and the ability to diagnose performance issues at the data-part level. Engineering Mindset (SRE/DevOps): You hate doing the same task twice by hand. Experience writing complex Terraform modules and Ansible roles is mandatory. Programming skills in Python or Go for automation are a huge plus. Hybrid Environment Experience: You understand the differences between running DBs on Bare Metal vs. Kubernetes vs. Cloud and know how to optimize TCO and disk subsystem performance (NVMe, Network Storage). Systems Approach: You see the big picture - from the network packet to the application business logic. You understand the importance of security (FIPS, Audit logs) and Disaster Recovery. English: upper-intermediate or higher - to ensure clear communication of progress within the teams Nice to Have: Experience building an Internal Developer Platform (IDP). Experience operating databases in Kubernetes (CloudNativePG, Altinity Operator). Experience working in Cloud and Hosting providers on similar services. Benefits What's in it for you? A focus on professional development. Interesting and challenging projects. Fully remote work with flexible working hours, which allows you to schedule your day and work from any location worldwide. Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves. Compensation for private medical insurance. Co-working and gym/sports reimbursement. Budget for education. The opportunity to receive a reward for the most innovative idea that the company can patent. By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy ( https://cloudlinux.com/candidate-privacy-notice ), which provides detailed information on how we maintain and handle your data.

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. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. 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 through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - 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 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 even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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)

Location: CIS; Baku; Serbia Workplace: remote ABOUT YOU   We are seeking a highly analytical and hands-on Senior FinOps Engineer to lead and mature our cloud and infrastructure financial management capabilities across GCP, AWS, and on-prem environments. As part of our talented infrastructure team, you will drive cost transparency, optimize cloud spend at scale, and partner with engineering, product, and finance teams to ensure that Xsolla’s global infrastructure is efficient, predictable, and aligned with business priorities.   The ideal candidate brings a deep technical understanding of modern cloud platforms (GCP / AWS) and experience working in Kubernetes-centric environments. You excel at turning complex usage patterns into actionable insights, influencing technical teams, and establishing a culture of cost accountability and data-driven decision-making. You balance tactical optimizations with long-term architectural improvements and know how to navigate both engineering conversations and executive discussions.   If you’re passionate about building scalable FinOps practices in a fast-growing, product-led company—and want to directly impact how we run and scale our global platform—we’d love to hear from you.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities: Lead the cloud cost optimization strategy across GCP, AWS, and on-prem infrastructure, ensuring efficiency, transparency, and financial predictability Analyze compute, storage, networking, and Kubernetes resource usage to identify actionable cost-saving opportunities without compromising performance or reliability Build and maintain forecasting models, dashboards, and automated reporting that provide real-time visibility into cost drivers and trends across teams and services Develop and implement tagging/labeling standards, budgeting processes, and governance policies to enable cross-organizational accountability Collaborate closely with Engineering, Finance, and Product to guide workload placement, architecture decisions, and scaling strategies Drive adoption of FinOps best practices including rightsizing, reservation planning, autoscaling optimizations, multi-cloud efficiency, and cost-effective storage strategies Create and refine internal tooling, automation, and pipelines for cost monitoring, anomaly detection, and usage attribution across Kubernetes clusters, virtual machines and physical servers, located both in datacenters and cloud providers Advocate for a cost-aware culture by training engineering teams, running FinOps reviews, and communicating insights to both technical and non-technical stakeholders Stay up to date with the latest cloud pricing models, vendor offerings, and industry trends to continuously evolve Xsolla’s FinOps maturity Qualifications: 5+ years of experience in cloud infrastructure, platform engineering, SRE, or DevOps roles with a strong focus on cost optimization Hands-on experience with GCP (priority) and AWS; strong understanding of cloud pricing models, resource types, and cost management tooling Deep knowledge of Kubernetes resource allocation, autoscaling, workload placement, and cost attribution in distributed environments Proficiency with cloud cost tools (GCP Billing exports, BigQuery, AWS CUR, 3rd party cost monitoring tools (Kubecost, CloudHealth), cost monitoring features in observability tools, custom dashboards, etc.) Strong analytical and data-engineering skills, able to build dashboards, SQL-based pipelines, and forecasting models Experience driving cross-functional initiatives and influencing engineering, product, and finance stakeholders Excellent communication skills with the ability to translate technical concepts into business-focused recommendations Fluent in English (written and verbal) Nice To Have: GCP and/or AWS cloud certifications (on Professional level, preferable) Understanding of FinOps Framework practices or FinOps Certified Practitioner certification Prior experience in gaming, high-growth tech, SaaS, or multi-cloud platform environments Familiarity with chargeback/showback models, internal cost allocation systems, or multi-tenant architectureExperience with Terraform, Helm, or GitOps workflows in cost-related automation Background in data analytics, cloud architecture, or financial modeling The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth Note   This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required.   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 FinOps Engineer, 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   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.

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: Paris, France Workplace: OnSite 🤖 WHO WE ARE We’re building Mo — a health companion for everyone. We’re a small team within Alan, on a mission to redefine the future of care by democratizing access to medical expertise. We are building Mo, an intelligent, empathetic, multimodal LLM-based conversational AI assistant able to prescribe, triage, and proactively follow up on care. Imagine giving every person in the world instant, 24/7 access to personalised medical expertise - through chat, voice, or video. That’s what we are building 🤖. We kicked off the project in 2023, and we have launched Mo to all our french members (1M) in Q1 2026, making it the first safe AI health companion live at scale in Europe. 🚀 WHAT KEEPS US UP AT NIGHT We’re building a medical agent that works — reliably, safely, and at scale. You’ll work at the intersection of product engineering, ML engineering, and medical expertise. Our mission is to build the most accurate and reliable medical agent in the world, while delivering an outstanding conversational experience. Things we’re working on: - 💬 Deliver the most memorable chatting experience — You’ll work on making Mo the obvious choice when it comes to asking a health question. It means having a world-class snappy and delightful chatting experience, blazing fast time to answer, and rich content shared. - 🧱 Integrate Mo with Alan services and our healthcare system — You’ll work on integrating Mo with our other services (digital chat with HP, map of physical location of HPs, tailored prevention programs, …) to help members get from words to actions. - ➕ Extend our architecture to support the next chapters of Mo — You’ll work on our architecture, and agentic framework, to support Mo’s next needs (get more context, use new skills, be accessible in other countries we operate in) If you’re excited by the idea of building the future of healthcare, this is the team for you - we're at the start of the journey. If you’re curious, here https://arxiv.org/abs/2411.12808 is a paper we published recently. 🎯 IS IT YOU WE’RE LOOKING FOR? We’re looking for Product engineers with 3+ years of experience who get excited about building state-of-the-art AI systems and applying them to real-world, high-stakes problems in healthcare. - You’ll work at the frontier of LLMs, multi-agent architectures, and human-in-the-loop learning — and see your work deployed in production, helping real people. - You’ll implement new capabilities for Mo, working across engineering, data, and medical expertise - You'll have deep product ownership over the use cases supported in Mo, making sure we actually help our members get and stay better. - You’ll have significant influence on system architecture and code quality - You’ll mentor engineers, contribute to our product & engineering culture, and help build the team (including participating in hiring, shaping our interview loops, etc.). You would be a good fit in Mo if most of this sounds like you: - Applied background in software engineering and systems architecture - Experience with traditional ML, or LLMs, or ML dev ops is a big plus. - Product-minded: you want your solutions to be used, and impactful - Self-directed, pragmatic, driven, hard working - Humble and still willing to grow (no matter your seniority!) - Collaborative, enthusiastic about teamwork, learning, and teaching - Fluent in English (no need to speak French!) - Ex-founders are typically great fit in our team But above all, we are looking for high potential and curiosity: make sure to show us this when you apply! Everything else is a bonus. 🤘 HOW WE DO IT ? We benefit from Alan’s platform, infrastructure, distribution, and health expertise — but operate with the speed and focus of a startup. If you’re curious about Alan’s broader vision, our https://www.notion.so/alaninsuranceShareholder Letters https://alan.com/en/blog/discover-alan/a/alan-2025-q3-letter-to-shareholders are worth a read. People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as: HOW WE WORK: OUR LEADERSHIP PRINCIPLES - Mission is the Boss — We think long-term and are methodical optimists who take risks, seeking our mission's success above all else. - Distributed Ownership — Accountable enlightened despots: everyone owns their decisions and results. - Radical Transparency — All information is accessible and written-first, so everyone can make the best decisions asynchronously. - Always Growing — Direct, positive, and caring feedback, combined with self-growth ownership. 🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. #LI-DNP

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: New York; Stockholm; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for an Infrastructure Security Engineer to design and secure the core systems that power our platform. This role focuses on building security directly into our infrastructure: from container isolation and orchestration to identity and secrets management in a multi-tenant, cloud-native environment. You’ll work closely with engineering teams to define secure primitives and ensure our platform is resilient, scalable, and trustworthy by design. This is a hands-on, deeply technical role focused on real systems, not compliance or policy. WHAT YOU’LL WORK ON: Platform & Runtime Security - Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments) - Strengthen boundaries between customers, workloads, and internal systems - Identify and mitigate risks in distributed, dynamic compute environments Container & Orchestration Security - Secure and harden containerized workloads and orchestration systems (e.g., Kubernetes or similar) - Improve workload isolation, scheduling boundaries, and runtime protections - Evaluate tradeoffs in multi-tenant execution models Identity & Access Management - Design and improve authentication and authorization systems across services - Implement strong service-to-service identity and least-privilege access patterns - Improve access controls across infrastructure and internal systems Secrets & Key Management - Build and maintain systems for securely managing secrets, tokens, and credentials - Improve rotation, auditing, and access controls - Reduce secret sprawl and integrate secure patterns into developer workflows Cloud & Infrastructure Security - Secure cloud environments across providers (AWS, GCP, etc.) with a focus on consistency and portability - Improve network boundaries, service segmentation, and access controls - Embed security into infrastructure-as-code and deployment systems Engineering Partnership - Work closely with product and infrastructure teams to design secure systems from the ground up - Review architecture and code for security risks and provide actionable guidance - Identify patterns in risks and drive cross-cutting improvements YOU MAY BE A FIT IF: Core Experience - You have experience securing cloud-native infrastructure and distributed systems in production - You have a background in infrastructure, backend, or security engineering - You’ve worked in multi-tenant or high-scale environments Technical Depth - You have a strong understanding of containerization and orchestration systems (e.g., Kubernetes or similar) - You’ve designed or secured isolation mechanisms in multi-tenant systems - You have a solid understanding of authentication, authorization, and service identity models - You have experience with secrets management and secure handling of credentials - You have a strong foundation in networking concepts (segmentation, service communication, access boundaries) Mindset - You have a builder mentality: you design and implement, not just review - You take a pragmatic approach to security in fast-moving environments - You’re comfortable working deeply with engineers and influencing system design NICE-TO-HAVE: - Experience with sandboxing or runtime isolation technologies (e.g., gVisor, Firecracker, seccomp, or similar) - Familiarity with kernel-level or low-level isolation primitives - Experience securing Kubernetes or similar orchestration systems in production - Background in developer infrastructure, compute platforms, or multi-tenant systems

Location: Bengaluru, India NetWitness is revolutionizing how organizations detect, investigate, and respond to cyber threats. As a leader in SIEM (Security Information and Event Management) and NDR (Network Detection and Response), plus Extended Detection & Response (XDR), we're not just another cybersecurity vendor - we're the unified platform that gives security analysts unrivaled visibility into sophisticated threats hiding in today's complex, hybrid IT infrastructures. As a Sales Engineer, you will play a pivotal role in driving the adoption of our solutions and services. You will work closely with customers as their trusted advisor, and with the sales team to provide technical expertise and support throughout the sales process. Your deep understanding of our products, services, and the cybersecurity landscape will enable you to effectively address customer needs and demonstrate the value of our solutions. You will also participate and speak at trade shows, seminars, and other marketing events where the company is actively participating. Responsibilities: Serve as the primary technical point of contact throughout the sales cycle. Collaborate with the sales team to develop and execute successful sales strategies. Conduct in-depth technical presentations and product demonstrations, effectively communicating the technical capabilities and business value of the Company solutions. Build and maintain strong technical relationships with key customer stakeholders and be the customer’s trusted advisor. Understand customer's security challenges, technical requirements, and existing infrastructure to propose tailored solutions. Design, deploy, and manage Proof-of-Concepts (POCs) and evaluations, ensuring successful outcomes and demonstrating the effectiveness of the Company solutions. Assist in the creation of technical documentation, proposals, and RFP responses. Deliver health-checks and workshops for existing customers, retaining and expanding their footprint. Develop and maintain a thorough understanding of our products, competitive landscape, and industry trends. Stay up to date on the latest cybersecurity threats, attacks, and trends. Work closely with the product management and engineering teams to relay customer feedback, market trends, and contribute to product development. Participate in industry events, trade shows, and conferences to promote our solutions and generate leads. Own and maintain the technical relationship with the Company partners community within the assigned territory. Provide technical training and support to sales team members and partners Requirements 3+ years of experience in a sales engineering, technical pre-sales, security consulting, or similar roles in the cybersecurity industry. Excellent communication and presentation skills, with the ability to adapt and convey complex technical concepts to both technical and non-technical audiences. Deep understanding of networking protocols, network security concepts, and security architectures. Strong knowledge of threat detection methodologies, incident response processes, and common attack vectors. Experience with Threat Detection and Response solutions, such as SIEM, NDR, EDR, UEBA, and SOAR. Proven ability to conduct effective product demonstrations and POCs. Proven track record of supporting successful sales cycles and achieving sales targets. Industry certifications such as CISSP, CEH, SANS, or similar are a plus. Familiarity with Linux CLI and basic scripting/programming skills. Willingness to travel as needed to meet with customers and attend industry events. Team player, with a genuine collaborative attitude and willingness to share with and inspire others.

Location: Bosnia and Herzegovina; Serbia; Georgia; Romania; Hungary; Croatia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and HealthTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. About the Company Our client is a fast-growing technology company building multiple SaaS platforms across AI, healthcare, and data intelligence. Their core product is a multi-tenant AI-powered platform designed to enhance sales intelligence and call analysis, alongside a HIPAA-aware healthcare portal and a growing audience intelligence platform. They operate in a highly technical, product-driven environment focused on scalability, clean architecture, and efficient execution. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Full-Stack Software Engineer to work across multiple SaaS applications, contributing to feature development, integrations, debugging, and backend systems. This is a high-impact remote engineering role where you’ll split your time across products based on sprint priorities, with a primary focus on an AI-driven platform. You’ll be responsible for executing scoped tasks with precision while also contributing to more complex systems and integrations. Key Responsibilities AI Sales Intelligence Platform (Primary Focus – ~70%) Build and implement features from architectural specifications Develop modern UI components, dashboards, and workflows using React and Next.js Build and maintain API routes with validation, pagination, and error handling Debug and maintain third-party integrations and APIs Implement webhook pipelines and asynchronous data workflows Manage background jobs and workflow orchestration Contribute to database design, migrations, and row-level security (RLS) policies Write unit and integration tests to ensure system reliability Healthcare B2B Platform (~30%) Develop onboarding flows and role-based interfaces Build and maintain authentication systems Integrate with third-party healthcare and pharmacy APIs Implement validation, audit logging, and compliance-aware features Troubleshoot bugs and improve system workflows Additional Product Work (As Needed) Support feature enhancements and maintenance for a stable audience intelligence platform General Responsibilities Execute development tasks with high reliability and attention to detail Collaborate through Git-based workflows, PR reviews, and structured documentation Troubleshoot API, integration, and system-level issues Use AI tools to improve development efficiency and output quality Requirements Core Technical Skills 2–4+ years of experience with TypeScript (strict mode, generics, strong typing) Strong experience with Next.js (App Router, API routes, middleware) Proficiency in React with modern component architecture Solid experience with PostgreSQL (queries, joins, schema design, RLS) Experience with Supabase or similar BaaS platforms (auth, database, storage, edge functions) Technical Experience REST API integrations and debugging Handling third-party API inconsistencies and failures Webhooks and asynchronous data processing Background jobs and workflow orchestration Git workflows (feature branches, pull requests, code reviews) Nice to Have Experience with multi-tenant SaaS platforms Exposure to AI or voice-based systems Experience working with HIPAA-compliant or regulated environments Strong understanding of system design and integration patterns How You’ll Work Async-first communication environment Documentation-driven development All code reviewed via pull requests before merging Strong focus on clean, reliable execution over unnecessary complexity Collaborative team culture with encouragement to ask questions early Growth Opportunity Increased ownership across systems and architecture Opportunity to lead projects and step into senior responsibilities Exposure to multiple SaaS products across AI, healthcare, and data platforms Ideal Candidate Detail-oriented and highly reliable Strong problem-solver, especially in debugging complex systems Comfortable working independently within structured systems Clear and proactive communicator Able to balance speed with high-quality output Benefits 💰 Competitive salary based on experience and region 🌎 Fully remote role with flexible working environment 🚀 Work on cutting-edge AI and multi-product SaaS platforms 📈 Long-term growth with opportunities for leadership and ownership 🧠 Exposure to complex systems, integrations, and scalable architectures 🎯 High-impact role contributing directly to product development

Location: United Kingdom; Bulgaria; Greece; Spain; Latvia; North Macedonia About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a highly skilled AI Automation Engineer to design, build, and optimize intelligent workflows and automation systems. This role is ideal for someone experienced in integrating AI tools (such as LLMs and APIs) into business processes, with a strong focus on operational efficiency and scalability. This is a remote AI engineering role offering the opportunity to work on cutting-edge automation projects in a fast-paced, high-growth environment. Key Responsibilities Design and implement AI-driven automation workflows using tools like Zapier, Make (Integromat), and custom APIs Integrate large language models (LLMs) such as OpenAI, Claude, or similar into business processes Build and maintain automation pipelines for sales, marketing, and customer support functions Develop scripts and backend logic (Python, JavaScript) to support scalable automation Optimize workflows for performance, reliability, and cost-efficiency Collaborate with cross-functional teams to identify automation opportunities Monitor and troubleshoot automation systems to ensure smooth operation Document processes and create scalable SOPs for internal use Requirements 2+ years of experience in automation engineering, AI integration, or workflow automation Strong experience with automation platforms (Zapier, Make, n8n, or similar) Hands-on experience with AI tools and APIs (e.g., OpenAI, Anthropic, Hugging Face) Proficiency in Python and/or JavaScript Experience with REST APIs, webhooks, and database integrations Familiarity with CRM systems (e.g., HubSpot, Salesforce) is a plus Strong problem-solving skills and ability to think in systems and processes Excellent written and verbal communication skills Experience working in remote, fast-paced environments Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

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.

Location: Al Jubail, Saudi Arabia; Yanbu, Saudi Arabia; Lusail, Qatar; Lahore, Pakistan; Jamnagar, India; Cairo, Egypt Eram Talent is seeking an experienced Sr. Mechanical Engineer to join a leading organization in Saudi Arabia. We are seeking a seasoned Senior Mechanical Engineer to join our Utility Department at Sadara. This role is critical to the plant’s stability, focusing on the mechanical integrity, maintenance, and reliability of world-scale utility assets. You will be the go-to technical expert for troubleshooting complex equipment failures and optimizing the lifecycle of systems that power our entire petrochemical complex. Responsibilities Lead Maintenance Execution: Oversee the preventive and corrective maintenance of utility assets, including high-pressure boilers, steam turbines, and large-scale pumping systems. Advanced Root Cause Analysis (RCA): Lead formal RCA investigations for mechanical failures, utilizing methodologies like 5-Why or Fishbone to eliminate recurring "bad actors." Reliability Optimization: Implement Reliability-Centered Maintenance (RCM) strategies to improve Mean Time Between Failures (MTBF) for rotating and static equipment. Steam & Water System Integrity: Ensure the mechanical reliability of steam headers, demineralized water plants, and cooling water networks. Turnaround & Shutdown Management: Define the mechanical scope for major plant turnarounds (TA) and supervise the overhaul of critical utility machinery. Contractor Supervision: Manage third-party maintenance contractors, ensuring all work meets strict petrochemical safety and quality standards. Asset Health Monitoring: Analyze vibration reports, oil analysis, and thermography data to predict failures before they occur. Technical Compliance: Ensure all mechanical repairs and modifications comply with international codes, specifically API 610/617, ASME B31.3, and ASME Section VIII. SAP-PM Management: Oversee the lifecycle of work orders within SAP, ensuring accurate data capture for maintenance history and spare parts inventory. Safety Leadership: Drive a "Zero Harm" culture by conducting Job Safety Managements (JSA) and ensuring all maintenance activities follow Process Safety Management (PSM) protocols. Communicate effectively with stakeholders to ensure alignment and project success. Requirements Education: Bachelor’s Degree in Mechanical Engineering. Industry Experience: 10+ years of maintenance engineering experience specifically within a Petrochemical Plant or Oil Refinery. Utility Expertise: Proven track record maintaining utility-specific equipment (Boilers, RO Plants, Steam Turbines, and Air Compressors). RCA Mastery: Demonstrated experience leading Root Cause Analysis and implementing technical solutions in a high-pressure environment. Software Skills: Proficiency in SAP (Plant Maintenance module) and engineering design software (AutoCAD). Standards Knowledge: Deep familiarity with API and ASME codes relevant to refinery utilities. Communication: Fluent in English with the ability to present technical reliability reports to plant leadership.

Location: Dhahran, Saudi Arabia Eram Talent is seeking a skilled Mechanical Engineer - Pipelines (EPC) to join their team. The successful candidate will be responsible for the design, analysis, and execution of pipeline projects within the Engineering, Procurement, and Construction (EPC) sector, ensuring adherence to industry standards and project requirements. Responsibilities Design and develop pipeline systems, including material selection, stress analysis, and fabrication. Coordinate with multidisciplinary teams to ensure seamless project execution. Review and approve engineering documents, drawings, and specifications related to pipeline projects. Conduct site visits to oversee installation and commissioning of pipeline systems. Ensure compliance with safety regulations, codes, and industry standards. Support procurement activities by providing technical specifications and vendor evaluations. Assist in troubleshooting and resolving technical issues during construction and commissioning phases. Requirements Bachelor's degree in Mechanical Engineering or related field. Minimum of 12 years of experience in mechanical engineering, specifically in pipeline design, project management and EPC projects. Proficiency in pipeline design software and tools such as AutoCAD, CAESAR II, or similar. Strong knowledge of pipeline codes and standards (e.g., ASME, API). Experience in project management and coordination within EPC environments. Excellent analytical, communication, and problem-solving skills. Ability to work effectively in a team and manage multiple tasks under tight deadlines.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHO WE ARE LOOKING FOR Everyone at Higgsfield is an A-player. We’re looking for teammates who bring: - Deep backend expertise, with a strong focus on scalable systems and APIs. - A systems thinker who can design architectures that handle millions of users. - Readiness to thrive in a high-intensity startup environment. - Comfort in a high-intensity startup environment, where priorities shift fast. WHAT YOU WILL WORK ON - Architect & scale robust data pipelines from diverse web sources. - Handle large volumes of unstructured data (video, audio, images, text). - Analyze web apps & APIs for stable data extraction. - Own the full data acquisition process: automation, integrity, efficiency. YOUR MUST HAVES - 5+ years of experience. - Experience with highload systems. - Proven track record with large-scale data ingestion systems. - Media content storage & delivery optimization. - Strong knowledge of databases. - Performance tuning & profiling. - CDN, caching, message queues. - Independent, able to lead complex projects. - Willingness to work in a fast-paced startup environment. THE DEAL - Competitive salary in USD + stock options. - On-site role in our Almaty office (we will relocate you from anywhere) - Full-time position with high growth potential.

Location: Germany, Berlin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Site Reliability Engineer As a part of Sony Computer Entertainment, the Gaming, Developer & Future Technology Group ( GDFT ) is leading the cloud gaming revolution, putting console-quality video games on any device, from TVs to consoles to mobile devices and beyond. Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability. What you'll be doing: Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability Be involved in creating High Level Designs (HLDs) for new products and platforms Mentor junior SRE staff and enable them for success Lead incident response and post-mortem activities within your assigned service team Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil Contribute to code to improve reliability Implement automation to reduce ongoing toil What we're looking for: Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge: Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addition, experience with at least 3 of the following topics: Distributed data storage at scale (Hadoop, Ceph) NoSQL at scale (MongoDB, Redis, Cassandra) Data Aggregation technologies. (ElasticSearch, Kafka) Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets Kubernetes and/or AWS (deployment and management) Software Distribution (Package management and distribution at scale) Configuration Management (ansible, saltstack, puppet, chef) S/W Performance analysis and load testing (QA or SDET experience: a plus) Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.