Вакансии

Location: Petten, Netherlands; Pondicherry, India; Aachen, Germany; Abidjan, Côte d'Ivoire; Abu Dhabi, United Arab Emirates; Ahmedabad, India; Berat, Albania; Alexandria, Egypt; Algiers, Algeria; Alkmaar, Netherlands; Almaty, Kazakhstan; Amersfoort, Netherlands; Amman, Jordan; Amsterdam, Netherlands; Antalya, Türkiye; Astana, Kazakhstan; Asunción, Paraguay; Athens, Greece; Atlanta, United States; Augsburg, Germany; Austin, United States; Aya Napa, Cyprus; Bad Homburg, Germany; Baden-Baden, Germany; Baku, Azerbaijan; Bangkok, Thailand; Barcelona, Spain; Batumi, Georgia; Belgrade, Serbia; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Birmingham, United Kingdom; Bishkek, Kyrgyzstan; Boca Raton, United States; Bolzano, Italy; Bordeaux, France; Boston, United States; Bramsche, Germany; Bratislava, Slovakia; Bromolla, Sweden; Brussels, Belgium; Bryanston, South Africa; Bucharest, Romania; Bucuresti, Romania; Budapest, Hungary; Buenos Aires, Argentina; Cairo, Egypt; Cape Town, South Africa; Cebu City, Philippines; Chemnitz, Germany; Chicago, United States; Santiago, Chile; Beijing, China; Chișinău, Moldova, Republic of; Bogota, Colombia; Colombo, Sri Lanka; Columbus, United States; Copenhagen, Denmark; Costa Rica; Havana, Cuba; Dakar, Senegal; Dallas, United States; Dammam, Saudi Arabia; Darmstadt, Germany; Davao City, Philippines; Delhi, India; Detroit, United States; Mirpur, Bangladesh; Djibouti; Dnipro, Ukraine; Douala, Cameroon; Dresden, Germany; Dubai, United Arab Emirates; Dublin, Ireland; Dusseldorf, Germany; Düsseldorf, Germany; Guayaquil, Ecuador; Emmen, Switzerland; London, United Kingdom; Erevan, Armenia; Essen, Germany; Fatorda, India; Helsinki, Finland; Florida City, United States; Frankfurt, Germany; Freiburg, Germany; Gatineau, Canada; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Grenoble, France; Guadalajara, Mexico; Guatemala Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Continuous Integration & Verification Infrastructure Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to work in a highly technical and innovative environment, this could be the perfect fit for you. Key Responsibilities Set up a Continuous Integration flow Automate and maintain regression test infrastructure Optimize the use of resources available (Computing, licenses...) Collaborate with the Design Verification and infrastructure team. Strong experience with scripting and automation using Python, Bash, or similar scripting languages. Hands-on experience with Git and modern Continuous Integration tools and methodologies. Proven experience optimizing system resources, including compute environments, licensing systems, and infrastructure utilization. Solid understanding of Linux-based environments and development workflows. Strong analytical, troubleshooting, and problem-solving skills. Ability to work effectively in a collaborative, cross-functional engineering environment. Excellent communication skills and a proactive mindset. Nice to Have Experience with Design Verification environments and methodologies. Knowledge of semiconductor, ASIC, FPGA, or hardware verification workflows. Experience with CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, or similar platforms. Familiarity with containerization technologies such as Docker or Kubernetes.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 JOB SUMMARY   We are looking for a GTM DevOps Engineer to join our Business Systems team and own the reliability, automation, and delivery infrastructure behind our Go-To-Market (GTM) technology stack. This role sits at the intersection of platform reliability and CI/CD engineering, ensuring that our critical business systems — including Salesforce, NetSuite, MuleSoft, Workato, and an expanding portfolio of AI-powered workloads — are deployed consistently, operate resiliently, and scale with the business.   You will partner closely with Business Systems developers, architects, and business stakeholders to build and maintain the pipelines, monitoring frameworks, and operational standards that keep our GTM systems healthy and our release cycles fast and predictable. As our team builds and deploys AI agents across GCP Cloud Run and AWS Bedrock AgentCore, you will serve as the infrastructure and deployment owner for these workloads — bringing engineering discipline to an environment where AI-generated code is increasingly entering production. This is a hands-on engineering role for someone who thrives in complexity, takes ownership of platform uptime, and brings a software engineering mindset to business application operations — directly supporting GTMSOE's broader mission of operational excellence across the GTM org.   KEY RESPONSIBILITIES   CI/CD & RELEASE ENGINEERING   - Design, build, and maintain CI/CD pipelines for Salesforce (SFDX/Salesforce CLI), NetSuite (SuiteScript/SuiteBundler), MuleSoft (Anypoint Platform), and Workato; establish branching strategies, environment promotion standards, and release gating processes across all GTM platforms. - Extend CI/CD practices to cover AI agent workloads deployed on GCP Cloud Run and AWS Bedrock AgentCore — including containerized builds, deployment pipelines, and automated validation gates. - Implement safe rollout patterns — including feature toggles, phased launches, automated validation, smoke tests, and rollback procedures — to reduce deployment risk on business-critical changes.   PLATFORM RELIABILITY & OBSERVABILITY   - Own SLA/SLO definitions for core GTM systems; standardize monitoring, alerting, and runbook patterns across quote-to-cash and GTM integrations, with proactive health checks and synthetic monitoring for critical flows (e.g., Salesforce ↔ NetSuite, Workato). - Extend observability coverage to GCP Cloud Run workloads — Cloud Scheduler jobs, agent pipelines, and integration microservices — and AWS-hosted agent infrastructure. - Conduct root cause analysis (RCA) for platform incidents and drive post-incident reviews with actionable remediation plans.   CLOUD INFRASTRUCTURE & ENVIRONMENT MANAGEMENT   - Manage sandbox, staging, and production environment lifecycles across GTM platforms — including refresh cycles, data masking, environment segmentation, and promotion standards that balance speed with reliability. - Own cloud infrastructure for Business Systems-operated workloads on GCP (Cloud Run, Cloud Scheduler, Cloud Secret Manager, GCS, Artifact Registry) and AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore); apply IaC practices to make provisioning repeatable and auditable. - Establish base image pinning, dependency vulnerability scanning, and supply chain security practices for containerized workloads — particularly AI-generated codebases deployed via tools like Cursor or Claude Code. - Define and enforce patch management and container runtime ownership for vibe-coded and agentic workloads entering production.   SECRETS, ACCESS & SECURITY POSTURE   - Establish and enforce a consistent secrets management standard across all Business Systems workloads — GCP Secret Manager, AWS Secrets Manager, and equivalent — eliminating credential exposure via environment variables, source code, or client-side contexts. - Define and maintain API key rotation policies in alignment with security standards (high-severity keys: quarterly; vendor keys: annually at minimum). - Partner with Security and IT on IAM scoping, least-privilege service accounts, VPC configuration, and public/private endpoint governance for Cloud Run and Bedrock deployments. - Maintain a centralized registry of deployed workloads — GitHub repos, deployment URLs, architecture docs, data classification, and observability dashboard links — accessible to AppSec and infrastructure teams.   AUTOMATION & TOOLING   - Build internal tooling, automation scripts, and automated testing frameworks (unit, integration, regression) to reduce toil and increase deployment confidence; continuously evaluate new tooling to improve developer experience. - Develop or enforce GitHub repository templates for Cloud Run deployments that cover security audits, deployment configuration, API integration, and MCP server patterns — serving as a reusable foundation for AI-assisted builds.   GOVERNANCE, STANDARDS & COLLABORATION   - Define where self-service deployment and administration are appropriate versus where stronger change control and operational guardrails are required; serve as the DevOps SME, enabling developers to operate with autonomy within those boundaries. - Document and maintain operational runbooks, architecture decision records (ADRs), and deployment standards as living artifacts. - Collaborate with IT, Data Engineering, Security, and business stakeholders on cross-functional initiatives that touch the GTM platform.   QUALIFICATIONS   EXPERIENCE   - 4+ years in a DevOps, Site Reliability Engineering (SRE), or Platform Engineering role - 2+ years of hands-on experience deploying and managing Salesforce environments (SFDX, Salesforce CLI, scratch orgs, sandboxes, change sets, or pipeline-based deployments) - Experience with at least one additional GTM/ERP platform, such as NetSuite, MuleSoft, or Workato, in an operational or deployment capacity - Demonstrated experience building and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or Copado - Hands-on experience with GCP services — Cloud Run, Cloud Scheduler, Cloud Secret Manager, Artifact Registry, GCS — in a deployment or operations context - Experience with AWS services in an integration or operations context — Lambda, S3, SQS, Secrets Manager, CloudWatch; familiarity with Bedrock AgentCore or similar managed agent hosting infrastructure is a strong plus - Experience managing containerized workloads, including image lifecycle, dependency scanning, and supply chain security practices - Experience with incident management, on-call processes, and writing post-incident reviews   SKILLS & COMPETENCIES   Technical   - Strong scripting skills in Python, Bash, or Node.js for automation and tooling - Proficiency with Git, branching strategies, and version control best practices - Understanding of API-based integration patterns (REST, SOAP, event-driven) as they apply to MuleSoft, Workato, or similar iPaaS tools - Hands-on familiarity with secrets management across GCP Secret Manager and AWS Secrets Manager; strong grasp of security best practices in CI/CD contexts (least-privilege IAM, no hardcoded credentials, key rotation) - Monitoring and observability tooling experience (Datadog, Splunk, Google Cloud Monitoring, CloudWatch, or similar) - Infrastructure-as-code proficiency — Terraform or CloudFormation; experience applying IaC to Cloud Run or Lambda-based workloads preferred - Familiarity with container security practices: base image pinning, vulnerability scanning (e.g., Artifact Registry, Trivy), and dependency management for AI-generated codebases   Operational & Mindset   - Ownership: Takes full accountability for platform uptime, deployment quality, and the operational health of GTM infrastructure end-to-end. - Velocity: Operates with a bias for action — ships iteratively, reduces toil systematically, and keeps release cycles fast and predictable. - AI & Automation mindset: Actively leverages AI-assisted tooling and automation to accelerate delivery, improve reliability, and reduce manual overhead across the GTM stack. - Collaboration: Fluent cross-functional partner to developers, architects, Security, IT, and business stakeholders — enables autonomy without becoming a bottleneck. - Growth: Continuously evaluates new tooling, patterns, and practices to raise the bar on platform engineering and developer experience.   WHAT YOU'LL WORK WITH   - Salesforce: Core GTM CRM platform; this role owns deployment pipelines, environment management, and release reliability across orgs. - NetSuite: ERP platform integrated into the quote-to-cash flow; managed via SuiteScript/SuiteBundler within CI/CD standards. - MuleSoft (Anypoint Platform): Integration middleware; this role maintains deployment pipelines and observability for MuleSoft-managed flows. - Workato: iPaaS automation platform; monitored and deployed within the broader GTM reliability framework. - GCP (Cloud Run, Cloud Scheduler, Secret Manager, Artifact Registry, GCS): Primary cloud platform for AI agent workloads and integration microservices. - AWS (Lambda, S3, EventBridge, Secrets Manager, Bedrock AgentCore): Secondary cloud environment for agent hosting and integration operations. - GitHub Actions / GitLab CI / Copado: CI/CD tooling used to build, validate, and promote changes across GTM platforms. - Terraform / CloudFormation: IaC tooling for repeatable, auditable infrastructure provisioning. - Datadog / Splunk / Google Cloud Monitoring / CloudWatch: Observability and alerting stack across GTM and cloud workloads. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a small team, we're all generalists that work across the full stack (built in TypeScript end-to-end). We’re looking for engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Work closely with founders, product, and design to implement new concepts and ideas - Build AI-powered functionality into the core of Linear - Update our collaborative content editor used across all internal surfaces - Build new user-facing features with beautiful and scalable UI components - Obsessively improve application performance - Refine our software development processes to keep the team operating at high velocity What we're looking for - 2-5 years of experience building customer-facing products at a software company with a high engineering bar - Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL) - Track record of driving complex, end-to-end features (not just incremental improvements and refactors) with visible impact on the product - Product sensibility: you care about UX, speed, and polish, and you push back when something doesn't feel right - Comfortable working without heavy PM overhead; you can help to shape the problem, not just implement a solution - High ownership mentality: self-directed, full-lifecycle builder who takes a feature from idea to shipped - Thrives in a remote, async-first environment with a lean, high-output team - Experience at a startup or a company with a genuinely high engineering bar Our tech This stack reflects the systems we build and operate. You’re not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale. - Agentic workflow system utilizing temporal, operating at production scale - Proprietary websocket data sync engine https://www.youtube.com/watch?v=bnOpm3a1fRE built for speed and offline support - React, MobX, StyleX on the frontend - Extensive, highly-trafficked GraphQL API and SDK - Node, PostgreSQL, Temporal, and Redis on the backend - Hosted on Google Cloud with k8s - GitHub, Slack, Notion What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $174,000—$245,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - Read Me https://linear.app/readme a story about our mission - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As the Engineering Manager for Baseten's Cloud Platform team, you will directly manage a team of cloud platform engineers responsible for building the systems and processes that keep our infrastructure scalable, reliable, and efficient — from automated deployments and monitoring to performance optimization and incident response. You are a people-first leader with a strong cloud infrastructure background. You set a high bar for reliability and operational excellence, engage credibly in technical discussions and code reviews, and know how to build a culture of ownership and accountability. You'll spend most of your time close to the work: unblocking your team, shaping technical direction on day-to-day decisions, and developing your engineers. At Baseten, we work closely with our users to understand their struggles operationalizing ML — you'll keep your team connected to that mission and translate user learnings into better infrastructure.   RESPONSIBILITIES - Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s. - Set clear performance expectations, hold a high bar, and create an environment where engineers do their best work. - Foster a culture of ownership, accountability, and continuous improvement. - Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions; translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them. - Establish standards and best practices for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from specification through production. - Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity. - Partner with product and engineering teams to align infrastructure work with business priorities; represent your team's progress, capacity, and technical tradeoffs clearly to leadership. - Serve as the escalation point for major incidents; drive resolution with urgency, ensure the team learns systematically, and stay connected to users so those learnings feed back into infrastructure improvements.   REQUIREMENTS - Proven experience directly managing engineers in a cloud infrastructure, platform engineering, or SRE context (not managing managers). - Extensive hands-on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews. - Strong background building and maintaining scalable, production infrastructure. - Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins). - Demonstrated ability to drive projects end-to-end — from specification to execution — and coach your team to do the same. - Strong written and verbal communication skills; able to influence across teams without direct authority. - Track record of recruiting and growing engineering talent. - Openness to learning about ML infrastructure; prior machine learning experience is not required.   NICE TO HAVE - Experience with OSS observability tooling (Prometheus, ELK stack, Grafana, OpenTelemetry). - Background in multi-cloud environments or GPU infrastructure. - Experience building and managing on-call rotations and incident response processes. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Требования: - базовое знание Java, SQL, HTTP/REST - опыт работы с Git - готовность учиться и разбираться в коде - наличие пет-проектов на GitHub Обязанности: - разработка backend-сервисов на Java и Spring Boot - написание тестов и работа с PostgreSQL - участие в code review и интеграциях Условия: - удаленная работа, свободный график - стажировка на реальных проектах с наставником - доступ к архитектурным решениям и инженерной культуре

Location: Remote, Global The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs. Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, IMC, Tower Research, Jump Trading, HRT, Jane Street, and SIG. Responsibilities As a Financial Data Sales Associate based in the EMEA region, you will oversee the full scope of sales at Databento. This includes the following: Own the technical sales process, from answering technical customer inquiries and providing data samples to solving data-related issues that our customers raise. Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust. Gather customer feedback, testimonials, case studies, and more. Establish and maintain accurate, timely, and documented forecasting and record-keeping procedures, keeping our CRM up-to-date and organized. Build a network of executive relationships across the industry and with key partners and customers. Stay up-to-date with industry trends, market dynamics, and competitor activities to identify potential business opportunities and adapt sales strategies accordingly. Collaborate across teams to align sales efforts with overall company objectives and ensure a seamless customer experience. Desired Qualifications The ideal candidate has experienced the end-to-end sales pipeline, including top-of-funnel, upselling, channel sales, customer success, and forecasting. Below are other skills that we look for: Understand and communicate with our user base of developers and quants. Experience with quant trading and market microstructure. Extreme attention to detail and record-keeping, as well as the ability to automate processes in HubSpot. Professional communication skills that align with the tone of an institutional financial product. White-glove management of the sales cycle with continual buy-in from the customer, discovering the user's pain points, signs of friction, being honest when our product isn't the best fit, not being too pushy or salesy, and knowing when to continue vs. back off. Readiness to work within a startup environment with limited resources and personnel. As a bonus: Active usage of GitHub, knowledge of enough C++, Python, and/or Rust to help answer client inquiries. We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency. The base salary range for this role is $80,000–$155,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role. Notice about phishing scams Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from @databento.com or us.greenhouse-mail.io (our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent. -- Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know. Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!

Обязанности: — Разработка и поддержка автотестов для web-приложения, API и интеграций. — Развитие и сопровождение тестовой автоматизации в CI/CD. — Участие в развитии QA-процессов и стратегии автоматизации тестирования. — Поддержка трансформации QA-процессов: переход от ручного тестирования к модели, ориентированной на автоматизацию. — Контроль и повышение качества продукта на этапе разработки и релизов. Требования: — От 5 лет опыта в QA, из них значительная часть — в автоматизации тестирования. — Практический опыт автоматизации UI-тестирования с использованием Playwright, Cypress или Selenium. — Уверенное тестирование API (REST). — Опыт интеграции тестирования в CI/CD-процессы (GitHub Actions или аналогичные инструменты). — Глубокое понимание процессов тестирования, тест-дизайна, стратегий обеспечения качества и критериев готовности к релизу. — Опыт работы по методологии Agile (Scrum/Kanban). — Уверенное владение Git и опыт командной разработки. — Свободное владение английским для общения с командой и стейкхолдерами (С1). Будет плюсом: — сертификация ISTQB; — опыт тестирования производительности (k6/JMeter/Gatling); — опыт работы в сфере контакт-центров.

Location: Canada; United States 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 Docker is shipping a wave of new products this year, with R&D initiatives likely to lead to more, and we're investing heavily in the platform underneath all of it. That platform supports hundreds of engineers across many development teams and carries high-scale production traffic and data transfer every day. It has grown faster than its foundations, and this year is about closing that gap. Today, much of that work still leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is moving that work from expert-driven support to paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure. The goal is a platform teams trust enough to stop thinking about it, one that just works, so they can focus on their own products instead of ours. The concrete version sits on this year's roadmap: spinning up a new global region or application environment should take hours, not days. Right now it takes days. Getting there means building the foundations underneath it. We need a real multi-region, cross-account network architecture and a testing and continuous-deployment flow teams can trust, then a self-service layer on top. We're the container company building our own internal platform, so the bar for "the easy path is also the safe path" is high. You'd be joining a team of four, growing to seven this year (this is one of those hires), and we're looking for a Staff engineer to set technical direction and lead it through real production adoption. _______________________________________________________________________ RESPONSIBILITIES This is a Staff-level role, so success is measured by leverage rather than just your own commits. On a team this size you'll stay hands-on in the codebase while also setting direction, aligning teams on pragmatic standards, and carrying platform investments through to adoption. Concretely, you will: - Take ambiguous infrastructure problems and turn them into proposals the org can rally around, then drive them through RFCs and architecture reviews across teams. - Design self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations, with contracts and docs teams actually use. - Set delivery standards using Terraform, GitOps with Argo CD, progressive rollout, and good testing, including building the continuous-deployment flow we're missing today. - Evolve the multi-tenant EKS foundations toward better reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and the multi-region, cross-account connectivity we need. - Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics. We judge this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs. AI-ASSISTED OPERATIONS We're actively investing in AI-assisted and agentic workflows to cut operational toil. We care that they stay safe, auditable, and human-reviewed. You'll help shape where these earn their place and where they don't. Early targets include: - Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page. - Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production. - Onboarding and readiness assistants that answer the questions our experts answer today. If you've built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work. ON-CALL Operational ownership is part of the job. You'll join the rotation after onboarding and shadowing. As a Staff engineer, you'll also improve the health of on-call itself, with better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention. _______________________________________________________________________ QUALIFICATIONS - 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience - Strong software engineering in Go or a similar language: design, testing, debugging, review, long-term maintainability. - A track record designing, shipping, and operating cloud services or infrastructure platforms in production. We hire for skill and impact, not years. - Deep expertise in at least one of: Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms, plus solid Linux, networking, and production-ops fundamentals. - Experience setting technical direction and leading work that needs cross-team alignment. - Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups). Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams. You don't need every item here. We value deep expertise in one area, strong systems judgment, and curiosity across the rest. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Build context, meet partner teams, ship your first change, shadow on-call. FIRST 90 DAYS - Own a strategic platform problem with a clear plan and metrics; lead an improvement from design to production. ONE YEAR OUTLOOK - Lead a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establish durable patterns that change how Docker engineers build and operate services. 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. Canada: CA$238,250 – CA$382,250 base United States: $170,350 – $275,550 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

Задачи: — Улучшать локальные среды разработки, системы сборки и тестовые процессы для повышения опыта разработчиков. — Оптимизировать процессы CI/CD для увеличения скорости разработки и снижения трений в инженерных командах. — Разрабатывать инструменты, фреймворки и автоматизацию для упрощения разработки и деплоя кода. — Сотрудничать с инженерными командами для выявления проблем в рабочих процессах и внедрения лучших практик продуктивности. — Оценивать новые инструменты и продвигать решения, ориентированные на разработчиков, для повышения инженерного качества. Требования: — Степень бакалавра или магистра в области компьютерных наук или эквивалентный практический опыт. — Опыт работы не менее 3 лет в качестве инженера-программиста с фокусом на системах сборки или внутренних инструментах. — Подтвержденный опыт разработки и деплоя приложений на C++ и Python. — Опыт работы с современными системами сборки (CMake, Bazel) и системами контроля версий (Git, devcontainers). — Владение CI/CD системами, такими как GitHub Actions, GitLab CI, Jenkins или TeamCity. — Глубокие знания Linux-систем (предпочтительно Ubuntu/Debian) и контейнеризации (Docker). Плюсы: — Навыки скриптинга на Python или Bash для автоматизации. — Знакомство с Infrastructure-as-Code (IaC). Условия: — 30 дней оплачиваемого отпуска в год. — Гибридный формат работы и гибкий график. — Полная поддержка визы и релокации для международных кандидатов. — Субсидии на EGYM Wellpass и Deutschlandticket. — Выгодная программа лизинга велосипедов через JobRad. — Финансовая поддержка курсов местного языка. Процесс найма: — Первичный скрининг. — До 4 раундов интервью для оценки технических навыков и соответствия культуре компании.

Location: United States, Madison, WI 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. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $152,500 — $228,700 USD 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 (where applicable) 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.

Location: Malaga The Role Our Development team in Malaga is growing and we are now looking for a Backend Software Engineer to join! Our Campaigns & Rewards unit at Betsson Group ensures our customers come back for more. It’s all about loyalty. We provide a world class customer experience beyond the game play featuring Tournaments, Dynamic personalized campaigns and much more! You will be part of preparing our journey to containerization, increasing the scalability of our systems while also maintaining their high quality. To accommodate new requirements, we are constantly re-evaluating our systems design and working on exciting new features. What you'll do: Design and develop distributed backend services using .NET and event-driven architecture. Collaborate with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions. Optimize our microservice ecosystem for performance, reliability, and observability. Drive our containerization and cloud migration strategy forward. Participate in architecture discussions and help shape technical decisions. For senior engineers : Lead architectural decisions and proactively identify areas for improvement. Write maintainable, well-tested code and conduct code reviews. Participate in incident resolution and the team’s on-call rotation. Maintain clear technical documentation such as ADRs, runbooks, and guidelines. Build and share your domain expertise within the team. What Tech Stack you'll be working with: We don’t expect you to know everything listed below – but the more you’re familiar with, the better. What matters most is your ability to learn, collaborate, and write high-quality, maintainable code. Core Technologies These are essential to the role, and we’re looking for solid experience here – especially for senior candidates. Languages & Frameworks : C#, .NET (modern versions after .NET Core) Databases : SQL Server, PostgreSQL, Redis, Couchbase (experience with relational or document databases, including indexing and query optimization, is a strong plus) Cloud & Containers : AWS, Kubernetes, Docker (experience with any major cloud provider or containerization platform is valuable) Testing & Quality : xUnit/NUnit, mocking frameworks, k6 for load testing (understanding of unit, integration, and performance testing is more important than specific tools) Additional Tools & Practices Familiarity with these of similar tools and concepts is a plus. Messaging & Microservices : Web APIs, Apache Kafka, RabbitMQ, Orleans (experience with any messaging or actor-based system is valuable) Observability : Prometheus, Grafana, Loki, Splunk (or experience with other observability stacks) CI/CD : GitHub Actions, trunk-based development, progressive delivery (familiarity with continuous delivery pipelines and deployment strategies is more important than specific tooling) Architecture : Domain-driven design, event sourcing, actor model, distributed systems at planet-scale Ways of Working : Agile and Lean principles, DevOps mindset, strong collaboration What we offer 25 working days of paid vacation. Private health and life insurance. Flexible compensation package  for transport, meals, and more! Hybrid work policy for the best of office and home. Up to 10 days per year working remotely from abroad. €300 yearly wellness allowance. Office perks to make your day easier. Referral program with a bonus for successful hires. Intensive summer schedule in August for extra flexibility and work-life balance. We can also offer you an environment full of ambition and passion. One day is never like the other as the only constant is change, to the better, to the greater. We strive to be the best in whatever field we choose to play on, and we make sure to have fun along the way! Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Malaga The Role Our Development team in Malaga is growing and we are now looking for a Senior Backend Software Engineer to join! Our Campaigns & Rewards unit at Betsson Group ensures our customers come back for more. It’s all about loyalty. We provide a world class customer experience beyond the game play featuring Tournaments, Dynamic personalized campaigns and much more! You will be part of preparing our journey to containerization, increasing the scalability of our systems while also maintaining their high quality. To accommodate new requirements, we are constantly re-evaluating our systems design and working on exciting new features. What you'll do: Design and develop distributed backend services using .NET and event-driven architecture. Collaborate with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions. Optimize our microservice ecosystem for performance, reliability, and observability. Drive our containerization and cloud migration strategy forward. Participate in architecture discussions and help shape technical decisions. For senior engineers : Lead architectural decisions and proactively identify areas for improvement. Write maintainable, well-tested code and conduct code reviews. Participate in incident resolution and the team’s on-call rotation. Maintain clear technical documentation such as ADRs, runbooks, and guidelines. Build and share your domain expertise within the team. What Tech Stack you'll be working with: We don’t expect you to know everything listed below – but the more you’re familiar with, the better. What matters most is your ability to learn, collaborate, and write high-quality, maintainable code. Core Technologies These are essential to the role, and we’re looking for solid experience here – especially for senior candidates. Languages & Frameworks : C#, .NET (modern versions after .NET Core) Databases : SQL Server, PostgreSQL, Redis, Couchbase (experience with relational or document databases, including indexing and query optimization, is a strong plus) Cloud & Containers : AWS, Kubernetes, Docker (experience with any major cloud provider or containerization platform is valuable) Testing & Quality : xUnit/NUnit, mocking frameworks, k6 for load testing (understanding of unit, integration, and performance testing is more important than specific tools) Additional Tools & Practices Familiarity with these of similar tools and concepts is a plus. Messaging & Microservices : Web APIs, Apache Kafka, RabbitMQ, Orleans (experience with any messaging or actor-based system is valuable) Observability : Prometheus, Grafana, Loki, Splunk (or experience with other observability stacks) CI/CD : GitHub Actions, trunk-based development, progressive delivery (familiarity with continuous delivery pipelines and deployment strategies is more important than specific tooling) Architecture : Domain-driven design, event sourcing, actor model, distributed systems at planet-scale Ways of Working : Agile and Lean principles, DevOps mindset, strong collaboration What we offer 25 working days of paid vacation. Private health and life insurance. Flexible compensation package  for transport, meals, and more! Hybrid work policy for the best of office and home. Up to 10 days per year working remotely from abroad. €300 yearly wellness allowance. Office perks to make your day easier. Referral program with a bonus for successful hires. Intensive summer schedule in August for extra flexibility and work-life balance. We can also offer you an environment full of ambition and passion. One day is never like the other as the only constant is change, to the better, to the greater. We strive to be the best in whatever field we choose to play on, and we make sure to have fun along the way! Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Yerevan Workplace: OnSite About the role Teza is a systematic trading firm building quantitative strategies across multiple asset classes. We are looking for a DevOps Engineer to own and evolve our infrastructure platform — the systems that our quants, developers, and traders rely on every day. Our infrastructure team is at an inflection point. We have a working platform that supports active trading and research, and we are now investing in making it more robust, observable, and developer-friendly. The successful candidate will have significant influence over the direction of our infrastructure — shaping tooling choices, establishing standards, and building systems that scale with the firm. Location Yerevan, Armenia, Austin, Texas or London, UK What We're Building Toward As a team, we are working toward the following goals. You will play a central role in defining the approach and driving execution: - Full-stack observability** across all internal services — unified metrics, centralized logging, distributed tracing, and actionable alerting — so that engineers and traders have clear, real-time visibility into system health and performance. - Reliable, self-service compute orchestration** spanning Slurm (HPC/ML workloads), Hadoop (batch data processing), and Airflow (workflow scheduling) — enabling researchers and data engineers to run workloads at scale without infrastructure bottlenecks. - Mature secrets management** for trading credentials, API keys, certificates, and service-to-service authentication — with rotation policies, auditing, and tight integration into deployment workflows. - Unified release pipelines** that bring consistency to how diverse applications — trading strategies, data pipelines, and real-time trading systems — move from development to production, each with their own build, test, and deployment needs. - A well-maintained platform foundation** where shared services — identity management, GitHub Actions runners, VPN, observability tooling — stay current and reliable without disrupting active trading. - Strong security posture** across production and research environments — network segmentation, access controls, vulnerability management, and compliance — that evolves alongside the platform rather than being bolted on after the fact. Requirements - Experience building and operating internal platform services for development teams (CI/CD, compute, monitoring, developer tooling) — not just consuming them. - Strong proficiency in Linux systems administration and container orchestration (Docker, Kubernetes, or similar). - Deep understanding of the software development lifecycle and how infrastructure supports engineering teams — from local development through CI to production deployment. - Familiarity with ML and data-intensive workflow requirements: GPU scheduling, large dataset access patterns, experiment tracking, and reproducible compute environments. - Proficiency with at least one major cloud provider (AWS, GCP, or Azure) including networking, IAM, and managed services. - Experience designing and operating hybrid infrastructure — cloud, on-premises, and colocation environments — with an understanding of the tradeoffs between them. - Hands-on programming ability in Python or another scripting language, sufficient to build tooling, automation, and infrastructure-as-code — not just run playbooks. - Solid understanding of core network protocols and services: DNS, LDAP, SMTP, TLS, HTTP, and SSH. - Practical knowledge of infrastructure security: firewall management, access control models (zero-trust, bastion hosts), vulnerability scanning, patch management, and audit logging. Nice to Have - Experience in a trading firm or other environment with strict uptime and latency requirements. - Familiarity with infrastructure-as-code tools (Terraform, Pulumi, Ansible). - Experience with log aggregation and SIEM systems. - Understanding of compliance frameworks relevant to financial services. Benefits - Health, visual and dental insurance - Flexible sick time policy

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Engineering Team Lead to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap, balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews, pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring, onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency, reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills: 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements: Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Backend Engineer(Go) to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Develop and maintain backend applications using Go Design and optimize cloud-based solutions using AWS services (EC2, Lambda, S3, SQS, SNS, etc.) Design, use and manage databases, including PostgreSQL, Neo4J, Redis, and Elasticsearch Develop, manage, and optimize containerized applications using Docker Automate processes using Bash/Python scripting Optimize and maintain RESTful APIs, ensuring security and performance Work closely with frontend engineers, DevOps, and product team to deliver robust applications Monitor, debug, and improve backend performance, reliability, and scalability Implement caching, messaging queues, and event-driven architectures where needed Build whole platform from scratch 5+ years of GoLang experience Hands-on coding mentality; can build things from scratch and familiar with different architectures Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience designing RESTful and gRPC APIs and using frameworks like Gin Hands-on experience with messaging systems (e.g., SQS , Kafka ) Experience with CI/CD pipelines (GitHub Actions or similar) Experience operating PostgreSQL (RDS / Aurora), Neo4J(or similar) Experience with AI agents , LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc Experience with AI stack (AWS Bedrock, LangChain, pgvector or similar) Experience with Infrastructure as Code (Terraform) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Ability to troubleshoot production issues end to end Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Experience supporting production SaaS platforms Strong understanding of SaaS integrations and app-to-app permission flows High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Strong problem-solving skills and ability to work in a collaborative environment Excellent English communication skills Nice-to-have requirements: Experience working with Java Ability to code in Python Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Experience with AWS in production environments Exposure to graph-based modeling (identity graph, access graph, risk graph) Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a cybersecurity company Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible Founding Team Member Status — shape the company from day one and own critical technical decisions Fresh Funding Secured — immediate runway to build, hire, and execute fast Security Contribution — contribute to security architecture across identity, AI agents, and enforcement High Autonomy — freedom to design and build without corporate overhead Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems Fast Career Path — opportunity evolve into leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems Direct Impact — your architecture and code become the foundation of the entire platform Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum

Location: Home Based - APAC; Office Based - Beijing, China; Office Based - Taipei, Taiwan Ubuntu is the most widely used Linux distribution in the world, delivering kernels across a vast matrix of versions, architectures, and configurations – with up to 15 years of security and maintenance commitments for Long Term Support (LTS) releases. Ensuring the quality and reliability of these kernels demands a dedicated, systematic approach to testing at scale. The Canonical Kernel Team is looking for a Test Engineer to take ownership of our kernel testing strategy and infrastructure. You will design and maintain test plans covering functional correctness, stability, performance, and security. You will build and evolve automated test frameworks – including stress testing, fuzzing, code coverage analysis, and regression detection – that not only must remain effective across many concurrently supported kernel versions spanning years of maintenance, but must be able to scale with the high demand for Ubuntu kernels (currently more than 160 under active support). The successful candidate will bring strong Python skills, familiarity with Linux kernel internals, and experience building test infrastructure that scales. You will work closely with kernel engineers to catch regressions early, validate fixes, and ensure every kernel we ship meets the highest standards of reliability. Location: This role will be based remotely in the APAC region, except for Taipei, Taiwan, and Beijing, China, which are office-based locations. What your day will look like Design, develop, and maintain comprehensive test plans covering functional correctness, stability, performance, and security for Ubuntu Linux kernels Build and improve automated test infrastructure for continuous kernel quality validation across multiple kernel versions and architectures Maintain long-lived test suites that evolve alongside Ubuntu’s many concurrently supported kernel versions spanning years of maintenance Develop and maintain CI/CD pipelines for continuous kernel quality validation Conduct performance benchmarking and regression detection across kernel releases Measure and improve kernel code coverage, identifying gaps in test coverage and creating tests to address them Execute and analyze stress tests covering CPU scheduling, memory management, I/O subsystems, networking, and filesystem workloads Develop and maintain fuzzing harnesses to discover kernel vulnerabilities and reliability issues using tools such as syzkaller, Trinity, or custom fuzzers Collaborate regularly and proactively with a globally distributed team Contribute to upstream test suites and testing frameworks Document test methodologies, results, and coverage gaps What we are looking for in you Significant programming experience in Python Experience with test frameworks such as LTP, kselftest, xfstests, stress-ng, fio, or similar Experience designing and executing system-level tests: functional, stress, performance, or regression testing Familiarity with CI/CD systems (Jenkins, GitHub CI, or similar) Experience maintaining test suites over long periods, adapting to evolving software across multiple supported versions Familiarity with Linux (Ubuntu or Debian preferred but not required), Linux kernel internals and subsystems Experience with Linux systems administration and automation Solid background with git Well-organized, self-starting and able to deliver to fixed schedules Professional written and spoken English with excellent communication skills Ability to travel twice a year, for company events up to two weeks each Additional skills that you might also bring Familiarity with kernel fuzzing tools and techniques (e.g. syzkaller, Trinity, AFL, or custom harnesses) Experience with code coverage instrumentation (e.g. gcov, kcov, LLVM source-based coverage) Knowledge of kernel tracing and observability tools (e.g. ftrace, perf, bpftrace, eBPF) Familiarity with static analysis tools (e.g. sparse, smatch, Coccinelle) as part of a testing workflow Experience with fault injection frameworks (e.g. failslab, fail_make_request) for reliability testing Prior experience with test infrastructure at scale (provisioning, orchestration, result aggregation) Experience with Ubuntu/Debian packaging or Snap Knowledge of virtualization technologies (KVM, QEMU) and container runtimes Cloud infrastructure experience (AWS, GCP, Azure, or OpenStack) Prior involvement with open source testing communities or projects What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process. Fully remote working environment - we’ve been working remotely since 2004! Personal learning and development budget of 2,000USD per annum Annual compensation review Recognition rewards Annual holiday leave Parental Leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues at ‘sprints’ Priority Pass for travel and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 50,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Over the past years, Linear has experienced incredible organic growth and has become an instrumental tool for many of the world’s best product teams. We believe customer support should always feel like an extension of that experience. As a Product Support Specialist at Linear, you’ll contribute to the future of our product by surfacing customer feedback and insights, contributing to our technical documentation, and engaging a technical customer community via social channels. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based within U.S. and Canada Pacific or Mountain Time. You can work from anywhere within those time zones. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Support customers in end-to-end engagement, including onboarding, account setup, debugging issues, feature and integration discovery - Investigate and resolve inbound customer issues reported through all communication channels, including email, Slack, Twitter, and Reddit - Partner with our engineering team to document and reproduce bugs - Surface trends and insights from customer feedback to the team at large to inform product choices - Lead select strategic projects to improve the support experience, internal knowledge sharing, and product operations What we're looking for - Passion about technology, quality, and Linear’s mission - Excellent communication and customer service skills and experience working with a technical or engineering user base. Ability to adapt your communication approach to non-technical users. - Experience troubleshooting technical issues, including APIs and integration setups. Ability to reproduce bugs with Linear and our integrations in various environments (different browsers, Windows, Mac, Mobile). - Familiarity with SQL, Javascript, APIs, and GitHub is a plus. If you don’t have direct experience in these areas, curiosity to learn more is desirable as well. Please note that this is not a product engineering role. - Based in U.S. or Canada Pacific or Mountain Time only What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Compensation For US-based candidates, the expected cash compensation range for this role is $95,000—$135,000. For sales roles, this range represents on-target earnings (OTE), including base salary and variable compensation; for all other roles, it represents base salary. Final compensation is determined based on job-related knowledge, skills, and experience. For sales roles, actual earnings vary based on sales performance. Equity is a meaningful part of all offers at Linear. Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app. Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine