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Location: Canada, Waterloo, ON 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. Software Engineer II / Software Developer II (React Native) Build what’s next for players. We’re a startup inside Sony PlayStation. Fast-moving, experimental, and highly ambitious. Backed by the scale, resources, and trust of Sony Interactive Entertainment. We’re building new mobile and web experiences that help gamers connect, discover, and play together in better ways. This is a rare opportunity to design at startup speed and drive huge impact inside the largest gaming company in the world. We are seeking a Software Engineer II specializing in React Native and high-performance mobile development. In this role, you will design, build, and improve mobile experiences while contributing to the architecture, frameworks, and technical practices that support our applications. You will collaborate closely with engineers, product managers, designers, and researchers to deliver user interfaces that are performant, accessible, reliable, and delightful at scale. You will take ownership of meaningful features from development through release and production support. Responsibilities Design, build, test, release, and maintain mobile application features using React Native and modern JavaScript and TypeScript. Contribute to the evolution of frontend architecture, reusable components, development patterns, and technical standards. Partner with product managers, designers, and researchers to translate user experience requirements into practical, maintainable technical solutions. Write maintainable, well-tested code and contribute to code reviews, documentation, testing practices, and release processes. Investigate, diagnose, and resolve application defects, performance issues, and production incidents. Collaborate with the backend team to deliver reliable end-to-end experiences. Requirements 3+ years of professional software development experience, including experience building React Native applications or high-performance JavaScript and TypeScript applications. BS/MS degree in Computer Science, Software Engineering, or equivalent practical experience. Strong understanding of React Native, JavaScript, TypeScript, component architecture, state management, and mobile application development. Experience profiling, debugging, and optimizing frontend or mobile application performance. Understanding of cross-platform application architecture and communication between JavaScript and native modules. Experience delivering production-quality mobile applications using React Native. Experience building reusable UI components and maintainable frontend systems. Ability to independently deliver well-defined projects while collaborating effectively with engineers and cross-functional partners. Strong problem-solving, communication, and debugging skills. Passion for delivering high-quality user interfaces with excellent performance and usability. Bonus Experience building social, community, gaming, or other consumer products. Familiarity with VoIP, call dialing and ringing flows in Android/React Native Experience with accessibility, internationalization, and UI testing frameworks. Familiarity with CI/CD pipelines and modern build systems for frontend development. Previous experience at an early-stage startup or on a zero-to-one product team. 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. The estimated Ontario base pay range for this role is listed below. $115,500 — $173,300 CAD 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.

Location: Palo Alto Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE This role focuses on building and operating the end-to-end execution, training, and data infrastructure that powers Mistral’s agentic models and coding assistants. You will be a core contributor to our agent research stack: designing scalable systems for synthetic data generation, building ultra-fast training and RL execution environments, and maintaining high-throughput execution engines. You will tackle the engineering challenges at every step of the agent lifecycle: from orchestrating 1M+ concurrent and short-lived sandboxes for untrusted code execution to optimizing agent training codebases, distributed trajectory collection pipelines, and dataset processing workflows across massive hybrid and multi-cloud clusters. WHAT YOU WILL DO - Large-Scale Sandboxing Infrastructure: Design, deploy, and operate our high-throughput sandboxing platform, executing LLM-generated untrusted code across over 1 million isolated environments concurrently for model evaluation and interactive RL environments. - Agent Data Generation Pipelines: Architect and scale high-throughput pipelines for synthetic code generation, agent trajectories, rollouts, and self-play data collection to power post-training and RL loops. - Training Codebase & Systems Optimization: Optimize agent training codebases and distributed execution runtimes (PyTorch, Ray, SLURM/Kubernetes) to minimize multi-step rollout overhead, improve GPU utilization, and eliminate scaling bottlenecks. - Low-Latency Orchestration & Warm Pooling: Reduce sandbox cold-start times to sub-second levels using container warm pools, snapshot/restore technology (e.g., CRIU, microVMs), and optimized image delivery layers across hybrid clusters. - Multi-Cluster Queueing & Resource Allocation: Implement Kubernetes-native custom controllers, CRDs, and queuing systems to dynamically route short-lived evaluation, synthetic data, and agent execution tasks across diverse hardware fleets. - Isolation, Security & Security Boundary: Ensure strict multi-tenant network and process isolation for untrusted agent code using container/sandboxing runtimes (e.g., gVisor, Firecracker) and default-deny network postures. - Operational Excellence: Maintain high availability, telemetry, and automated self-healing across millions of transient jobs while participating in on-call rotations for critical agent training and execution pipelines. WHAT WE'RE LOOKING FOR - 4+ years of experience in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting LLM/RL workloads. - Data & Pipeline Engineering: Proven experience building high-throughput data processing and generation pipelines for large-scale datasets (e.g., Ray, Spark, custom distributed queues). - Deep experience with Kubernetes & Container Tech: Strong expertise writing custom K8s operators/controllers, managing Linux cgroups/namespaces, and optimizing Docker image layers and distribution systems. - High-Performance Software Engineering: Advanced proficiency in Python, Go, C++ or Rust, with a track record of profiling and optimizing high-performance ML or backend systems codebases. - Sandboxing & Isolation Technologies: Hands-on experience with lightweight virtualization, container runtimes, or WASM (e.g., Docker, gVisor, Firecracker). - Queueing & Scheduling: Deep familiarity with task queue systems, resource schedulers, and low-latency queuing architectures for high-volume, short-lived workloads. - Comfort with Ambiguity: Passion for working directly alongside AI researchers to rapidly turn frontier agent ideas into scalable, production-grade infrastructure. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Software Engineer, Platform Engineering (L2) About the job This position is an engineering role within Twilio Platform Engineering, suited to an engineer who is building hands-on experience with highly available, large-scale distributed systems. Our systems regularly process more than 12 billion emails during peak events like Black Friday, and our throughput requirements continue to scale rapidly. As an L2 engineer, you will help build and operate backend services at scale, working alongside more senior engineers on our dual-cloud infrastructure spanning Amazon Web Services (AWS) and Microsoft Azure. You'll get hands-on with Kubernetes, contribute to Terraform-based infrastructure automation, and write production code to help keep distributed systems healthy under real production load, using modern AI-assisted tooling to move faster and ramp up your skills. Responsibilities In this role, you’ll: WEAR THE CUSTOMER'S SHOES: Help design, build, and operate services and automations that support Kubernetes clusters at scale, under the guidance of senior engineers. Work with product management and technical leadership to turn well-scoped tasks into working code. BE AN OWNER (CODE QUALITY): Participate in code reviews and follow established patterns and testing standards (unit and integration testing) across the team and platform. BE AN OWNER (INFRASTRUCTURE & OBSERVABILITY): Support cloud configurations across AWS and Azure environments using Infrastructure as Code (Terraform). Help maintain observability coverage, including metrics, alerts, and basic distributed tracing, across core data pipelines. CHAMPION ENGINEERING HEALTH: Build awareness of clean architectural practices. Flag technical debt, bugs, and small-scale system issues to your team as you encounter them. GROW AND COLLABORATE: Actively seek feedback and mentorship from senior engineers, participate in sprint planning, and share what you learn with peers as you grow into a more senior role. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience: 1-2+ years of professional software engineering experience, including some exposure to building or operating backend services using Kubernetes. Familiarity with basic Kubernetes operations (deployments, pods, services) is expected; deep production-scale cluster-upgrade experience is not required. Modern Development Workflow: Practical experience with, or strong desire to learn, AI-assisted development tools (e.g., Claude Code) to help write code, automate testing, and support debugging workflows. Deployment Orchestration: Some exposure to GitOps workflows (e.g., ArgoCD) and CI/CD pipelines (e.g., Harness or an equivalent platform); willingness to learn our specific tooling on the job. Language Proficiency: Working knowledge of at least one of Shell, Terraform, YAML, or Go (Golang), with a willingness to build proficiency across the rest. Cloud Infrastructure: Some experience with cloud environments, ideally basic exposure to AWS core services (such as EC2, S3, EKS) or their Microsoft Azure equivalents (such as Virtual Machines, Blob Storage, AKS). General familiarity with networking concepts (VPC/VNet basics) is a plus. Infrastructure as Code: Basic familiarity with Terraform or similar IaC tools. Distributed Systems: Foundational understanding of distributed datastores, caching layers, or asynchronous event streaming (e.g., Kafka or similar queuing systems), through coursework, projects, or professional experience. Systems Mindset: Solid computer science fundamentals and data structures knowledge, with an eagerness to learn how to build self-healing cloud architectures. Desired: Some exposure to containerized infrastructure (Docker, Kubernetes) in coursework, internships, or professional projects. Curiosity about advanced deployment strategies (canary, blue/green); prior hands-on experience not required. Interest in policy-as-code tools such as OPA/Gatekeeper. Interest in OpenTelemetry or distributed tracing concepts. Any exposure to network topology, proxy layers, or mail transfer agent (MTA) protocols. Coursework or personal projects involving distributed datastores, caching, or event streaming (e.g., Kafka). Interest in multi-cloud environments and a desire to build that experience over time. Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. $116,960.00 to $146,200.00. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 10/31/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Americas Remote Hi, I'm Paul, VP of Engineering at Customer.io . We're always looking for thoughtful, driven Engineering Managers to add to our org. Some of our teams are building customer-facing product and workflows; others keep our distributed systems reliable, observable, and ready to scale. Whichever kind of problem energizes you, if you lead people well, hold a high technical bar, and drive work to completion without waiting to be handed a plan, we want to hear from you. About Customer.io Over 9,000 companies—from scrappy startups to global brands—use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data—what people do or don't do inside a web or mobile app. Under the hood: Go, React, and AI help us ship fast and scale with confidence. What we value Ownership. You set direction and see initiatives through. You create clarity when things are murky and set the path forward rather than waiting for one to be defined, and you're motivated by impact—not just intention. You hold yourself and your team accountable to shipping, not just staying busy. Leaders who can do both. You operate at the strategic level and stay close to the technical work. You can align stakeholders on a plan and earn your engineers' respect in the same day—you don't choose between vision and execution, you hold both. A drive to execute through resistance. Competing priorities, skeptical stakeholders, tired teams—you've moved work forward anyway. You name the resistance, make the call, and own the milestones and the misses. An AI-first mindset. AI is central to how you build and how you lead your team to build. You have a real, concrete point of view on AI-native development, you use agentic tooling yourself, and you bring it into how your squad operates. A healthy skepticism for "the way things are done." You bring rigor and pragmatism. Best practices matter—but never more than forward motion. You know when to build, when to buy, and when to wait—and you're comfortable making the call with incomplete information, then adjusting as you learn. What you'll do Care deeply about our customers and their outcomes Lead your squad to deliver real customer value by owning projects end to end—from planning through delivery, quality, and follow-through Drive execution: set milestones, keep work moving through ambiguity and competing priorities, and ship in small, observable increments rather than waiting for a release window Make confident decisions when the path isn't obvious, and lead your team through them Set the operating rhythm that helps your team move fastest, rather than defaulting to ceremony for its own sake Ensure your squad's solutions are scalable, architecturally sound, flexible, and secure, with strong peer-review, QA, documentation, deployment, logging, and monitoring practices Stay close to the work—jump into design reviews, architecture calls, and incidents rather than watching from a distance Provide direct, timely, and specific coaching, and create meaningful development opportunities for your direct reports Participate in an on-call rotation as required, supporting the reliability of the systems you build Hire, onboard, and manage performance so the right people are in place to hit your squad's goals Bring an AI-native perspective—use AI tools to accelerate the team's velocity and help everyone prototype faster and ship smarter Partner across engineering and other departments to align efforts with customer success, and reach higher when our customers are having a bad day What we're looking for 3+ years managing engineers at a SaaS company (B2B or B2C), ideally early-to-mid-stage A track record of driving execution—concrete delivery outcomes with milestones, dates, and "I drove" ownership, especially in complex or fast-moving environments A strong technical background—you can hold your own in architecture conversations and design reviews, represent your squad's technical choices across the company, and you've shipped real work recently enough to stay credible Comfort operating with high autonomy and little prescribed structure—you create your own clarity and make difficult tradeoffs between competing priorities Demonstrated AI-native leadership—not just personal fluency, but bringing AI-first practices into how your team builds Experience building high-performing, inclusive, and collaborative teams Clear, concise, and direct communication, both verbal and written Compensation & Benefits We believe in transparency. Starting salary for this role is $185,000-$215,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave , unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. Application - We review everyone with care. Recruiter Call (30 mins) - Let's chat about what you're looking for, your leadership style, and how we work. Hiring Manager Interview (60 mins) - Deep dive into your experience leading teams, your technical philosophy, and how you think about building organizations. People Partner Interview (30 mins) - Explore your leadership style, management philosophy, and approach to supporting high-performing teams with our engineering people partner. Technical Interview (60 mins) - Engage in a collaborative system design conversation focused on scaling challenges. Take-Home Assignment - Submit a short written retrospective on a project you’ve led as an Engineering Manager. Retrospective Review Call (60 mins) - We’ll use your written submission as the foundation for a deeper conversation. All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.

Задачи: — Мониторинг сервисов и оперативное реагирование на инциденты. — Диагностика и устранение технических неисправностей. — Анализ логов и поиск причин возникновения ошибок. — Выполнение регламентных технических работ. — Взаимодействие с командами разработки, DevOps и телеком-направлением. Требования: — Уверенное владение Linux и работа в командной строке. — Базовые знания сетевых технологий (TCP/IP, DNS, VPN, HTTP/HTTPS). — Умение работать с SQL (SELECT, JOIN, UPDATE). — Базовые знания Docker. — Умение анализировать логи приложений и операционной системы. — Английский язык на уровне чтения технической документации. Будет плюсом: — Опыт работы с Grafana, Zabbix, Prometheus. — Знание Redis. — Опыт работы с Git. — Опыт работы с Asterisk, FreeSWITCH или другими VoIP-решениями. — Понимание CI/CD и опыт сопровождения SaaS-продуктов. Условия: — Работа в международной AI-компании. — Сменный график работы. — Комфортный офис в Алматы. — Бесплатные обеды. — Оплата тренажерного зала. — Возможность работать с современной AI-инфраструктурой и развиваться в направлении Linux/DevOps.

Задачи: — Проектировать, строить и оптимизировать крупномасштабные ETL, стриминговые и пакетные конвейеры обработки данных. — Реализовывать и поддерживать высокопроизводительные/низколатентные хранилища данных (например, для рекомендаций в реальном времени). — Внедрять и улучшать механизмы управления данными для обеспечения качества и надежности данных. — Ускорять инновации, создавая и улучшая инфраструктуру машинного обучения, включая фреймворки для обучения, оценки и экспериментов. — Сотрудничать с менеджерами продуктов, дата-сайентистами, инженерами и аналитиками для создания положительного влияния на клиентов. — Помогать определять цели команды. — Постоянно улучшать самоорганизацию команды. Требования: — Опыт применения принципов инженерии программного обеспечения к системам управления данными. — Умение строить надежную, масштабируемую инфраструктуру данных с использованием качественного кода, а не только SQL. — Опыт не менее 3 лет в проектах по инженерии данных. — Хорошее понимание распределенных механизмов обработки данных. — Умение диагностировать и оптимизировать медленные конвейеры данных. — Опыт работы с крупномасштабной пакетной и/или потоковой обработкой (например, Spark, Hadoop, Flink, Storm, Apache Beam, Kafka). — Владение Python или Java. — Глубокое понимание распределенных баз данных, особенно высокопроизводительных/низколатентных хранилищ данных (например, DynamoDB, Cassandra, Redis). Условия: — Программа акций для сотрудников. — Скидки 40% на товары моды и красоты Zalando, 30% на Zalando Lounge, скидки у внешних партнеров. — 2 оплачиваемых дня волонтерства в год. — Гибридный режим работы с возможностью до 60% удаленной работы в неделю. — Возможность работать из-за рубежа до 30 рабочих дней в году. — 27 дней отпуска в год с начала работы. — Помощь с релокацией (по предварительной договоренности). — Семейные услуги, включая консультации и поддержку. — Опции для здоровья и благополучия (включая Gympass). — Поддержка психического здоровья и коучинг. — Возможности развития через обучающую платформу и двухразовые отзывы от коллег.

Задачи: — Проектировать, строить и оптимизировать крупномасштабные ETL, стриминговые и пакетные конвейеры обработки данных. — Реализовывать и поддерживать высокопроизводительные/низколатентные хранилища данных (например, для рекомендаций в реальном времени). — Внедрять и улучшать механизмы управления данными для обеспечения качества и надежности данных. — Ускорять инновации, создавая и улучшая инфраструктуру машинного обучения, включая фреймворки для обучения, оценки и экспериментов. — Сотрудничать с менеджерами продуктов, дата-сайентистами, инженерами и аналитиками для создания положительного влияния на клиентов. — Помогать определять цели команды. — Постоянно улучшать самоорганизацию команды. Требования: — Опыт применения принципов инженерии программного обеспечения к системам управления данными. — Умение строить надежную, масштабируемую инфраструктуру данных с использованием качественного кода, а не только SQL. — Опыт не менее 3 лет в проектах по инженерии данных. — Хорошее понимание распределенных механизмов обработки данных. — Умение диагностировать и оптимизировать медленные конвейеры данных. — Опыт работы с крупномасштабной пакетной и/или потоковой обработкой (например, Spark, Hadoop, Flink, Storm, Apache Beam, Kafka). — Владение Python или Java. — Глубокое понимание распределенных баз данных, особенно высокопроизводительных/низколатентных хранилищ данных (например, DynamoDB, Cassandra, Redis). Условия: — Программа акций для сотрудников. — Скидки 40% на товары моды и красоты Zalando, 30% на Zalando Lounge, скидки у внешних партнеров. — 2 оплачиваемых дня волонтерства в год. — Гибридный режим работы с возможностью до 60% удаленной работы в неделю. — Возможность работать из-за рубежа до 30 рабочих дней в году. — 27 дней отпуска в год с начала работы. — Помощь с релокацией (по предварительной договоренности). — Семейные услуги, включая консультации и поддержку. — Опции для здоровья и благополучия (включая Gympass). — Поддержка психического здоровья и коучинг. — Возможности развития через обучающую платформу и двухразовые отзывы от коллег.

Location: Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We are looking for a Senior Full-Stack Engineer to help build and evolve our new Common case-management system, powering support-case handling across DoorDash, Wolt, and Deliveroo. You will own significant end-to-end initiatives across backend services and agent-facing tools: case lifecycle, routing and assignment, queue management, case evidence and history, and migration from legacy systems. This is a hands-on product engineering role for someone who can turn ambiguous customer and operational problems into durable technical solutions. What you’ll do Lead one or more project-level Case Management initiatives from discovery and design through rollout, measurement, and operational ownership. Build scalable backend services and React-based internal tools used by support operators and administrators. Design reliable case-management capabilities, including case creation, routing, assignment, transfers, audit history, notes, attachments, and queue-management workflows. Help deliver feature parity with legacy platforms while safely migrating traffic across DoorDash, Wolt, and Deliveroo. Make and own technical decisions within your scope; write project-level design documents, identify dependencies and risks, and break work into parallelizable delivery plans. Partner closely with Product, Operations, Support, Data, and other engineering teams to define the right customer problems and improve the roadmap. Raise the quality bar through thoughtful design reviews, observability, testing, incident response, documentation, and reusable patterns. Mentor engineers through code reviews, technical guidance, and constructive feedback. Must-have qualifications Strong full-stack engineering experience, including production React and TypeScript experience. Strong backend engineering experience, including designing and operating backend services, APIs, asynchronous workflows, and data models at meaningful scale. Demonstrated ownership of complex, customer-facing or operations-critical projects from technical design through production rollout. Hands-on experience using AI development tools to improve engineering productivity, while validating generated output for correctness, security, privacy, maintainability, and reliability. Strong product judgment: able to translate ambiguous workflows and user needs into simple, maintainable technical solutions. Proven ability to collaborate across functions, drive alignment, and communicate trade-offs clearly to technical and non-technical stakeholders. Strong software-engineering craft: testing, code review, observability, incident response, security, and operational readiness. Comfortable working on systems with high correctness and auditability requirements, including traceability of decisions and changes. A proactive mentoring mindset and willingness to raise team-wide engineering standards. Nice-to-have qualifications Go experience. Experience with migration from legacy systems, gradual rollouts, traffic shadowing, and feature-parity programs. Experience building internal tools or operational user interfaces. Experience with high-volume, multi-region, or multi-tenant systems. What success looks like Delivers a major Case Management initiative with clear technical ownership, predictable execution, and measurable customer or business impact. Improves the Common system’s reliability, usability, and maintainability while enabling safe migration from legacy case-management systems. Helps move support traffic onto the Common system without reducing case-resolution quality. Builds solutions that other engineers and operators can confidently reuse and operate. Acts as a technical leader within the team: unblocks peers, improves engineering decisions, and strengthens cross-functional execution. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

We are a global algorithmic trading firm with an advanced technology stack, driving the full trading cycle — from market research and strategy design to algorithm development and software engineering. Our strength lies in deep market expertise and the continuous evolution of our infrastructure to stay ahead of the industry. Responsibilities: — Work through high-level business and technical requirements with the product, trading, and engineering teams, then build the resulting platform features. — Design, build, and maintain core platform components in Rust: exchange and broker gateways, data pipelines, monitoring tools, and algo trading infrastructure. — Optimize latency, throughput, and stability based on measurements and load testing. Low latency, reliability, and determinism are hard requirements. — Add observability to new components (metrics, logs, tracing, alerts, dashboards) so execution issues get caught early. — Diagnose incidents in the trading loop, find the root cause, write up the analysis, and fix the problem so it does not recur. — Ensure quality through automated (unit, integration, performance) and manual testing with QA, and maintain the test harnesses and integration suites that validate scenarios before production. — Document modules, service contracts, integration rules, and operational runbooks. — Help design and decompose features and epics, taking the product and trading side and operational risk into account. Qualifications: — 5+ years of relevant experience building low-latency, high-reliability systems. — Extensive experience in Rust. — Good understanding of computer systems and software architecture: Linux, networking, data structures and algorithms, concurrent and parallel programming, distributed computing, and performance optimization. — Strong engineering fundamentals and a preference for readable, maintainable code and sensible testing. — Takes ownership of tasks through to production and works to clear blockers, including pushing peers when needed. — Higher technical education or equivalent professional experience. Nice to have: — Familiarity with a trading domain: market data, trading protocols, operational risk. What we offer: — Remote-first: work from anywhere. — Tech-driven environment: no bureaucracy, legacy systems, or tech debt. — Growth & development: work with top talent in a fast-paced, innovation-driven culture. — Perks: medical insurance, sports benefits, home office setup, and educational support.

Задачи: — Проектировать и разрабатывать масштабируемые backend-сервисы и API; — Принимать архитектурные решения и обеспечивать высокие инженерные стандарты; — Писать production-ready код и активно использовать AI-инструменты для ускорения разработки; — Решать сложные технические задачи и повышать надежность системы; — Проводить код-ревью и поддерживать качество кода в команде; — Наставлять инженеров и повышать продуктивность команды; — Тесно сотрудничать с командами продукта, дизайна и QA; — Постоянно улучшать процессы разработки и инженерные практики. Требования: — Опыт разработки ПО от 7 лет; — Сильный коммерческий опыт с Node.js и TypeScript; — Опыт проектирования масштабируемых архитектур и распределенных систем; — Глубокое понимание PostgreSQL, Redis, REST API и асинхронных паттернов; — Опыт работы с Docker и CI/CD; — Опыт руководства инженерами и принятия технических решений; — Практический подход и желание оставаться близко к коду; — Опыт использования AI-инструментов (Cursor, GitHub Copilot, Claude Code или аналогичных) в ежедневной разработке; — Английский язык на уровне B2/C1. Плюсом будет: — Опыт с React или Angular; — Опыт с RabbitMQ, Kubernetes и GitOps; — Опыт с Web3 или блокчейн-продуктами; — Опыт интеграции LLM API и AI-возможностей в продукты. Условия: — Профессиональный рост: поддержка курсов, конференций и изучения английского (до 100% покрытия); — Гибкий график и удаленная или гибридная работа в международных командах; — Оплачиваемый отпуск: до 20 дней отпуска + 8 корпоративных праздников + 5 личных дней в год; — Программы признания: структурированные оценки эффективности и командные награды; — Корпоративная культура: выезды в международные локации (например, квартиры компании на Кипре).

Задачи: — Владение продуктовыми функциями от начала до конца, включая фронтенд, бэкенд и AI-системы. — Создание пользовательских интерфейсов, которые помогают кандидатам находить возможности и позволяют стартапам нанимать талантливых специалистов. — Проектирование и разработка масштабируемых API, бэкенд-сервисов и рабочих процессов, обеспечивающих работу основной платформы. — Разработка AI-агентов и автоматизированных решений для поиска, отбора, сопоставления кандидатов и операций по найму. — Интеграция сторонних платформ, внешних сервисов и поставщиков данных. — Сотрудничество с основателями компании для преобразования отзывов клиентов в реализованные функции продукта. Требования: — Степень бакалавра или магистра в области компьютерных наук, программной инженерии или смежных областях (новые и будущие выпускники приветствуются). — Прочные знания в области компьютерных наук, включая структуры данных, алгоритмы, отладку и принципы разработки ПО. — Опыт создания современных веб-приложений как на фронтенде, так и на бэкенде. — Знание JavaScript/TypeScript, React, Python, разработки API, баз данных и облачной инфраструктуры. — Опыт создания реальных продуктов через стартапы, личные проекты, исследования, вклад в open-source или продукты с активными пользователями. Условия: — Удалённая работа или работа в Сан-Франциско, Калифорния. — Полная занятость. — Возможность спонсорства виз OPT и H-1B.

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As a Staff Engineer, y ou'll own the build-out of our security engineering and DevSecOps capabilities: designing and developing the security products, platform services, and SDKs/Agents that embed protection directly into how code is written, built, shipped, and run. This is a role for someone with real depth in security, broad coverage across the stack, and the engineering muscle to ship. Just as important is the ability to drive adoption — security that lands in complex, fast-moving business environments rather than sitting in a policy document. What You’ll Be Doing Architect and build our end-to-end DevSecOps platform and the SDKs/Agents behind our security products, covering code, build, artifacts, images, deployment, and runtime. Lead runtime protection through RASP and Java Agent — bytecode instrumentation, runtime hooking, and detection/interception engines using ASM, ByteBuddy, and Instrumentation, with continuous tuning for performance, stability, and compatibility. Integrate and productise scanning capabilities across SAST, DAST, IAST, SCA, code scanning, and image scanning. You'll embed tools like SonarQube and Coverity deep into CI/CD and close the loop from detection through blocking, remediation, and re-test. Go deep on application security offence and defence — designing detection, remediation, hardening, and counter-measures for XSS, SQL injection, SSRF, deserialisation, command execution, authentication/authorisation flaws, and API security. Bring AI-native security engineering to life. Apply LLMs and AI Agents to vulnerability analysis, rule generation, false-positive attribution, remediation guidance, security knowledge capture, and engineering automation — and build a coherent view of the architecture, mechanics, and security implications. Embed as the security technical expert inside engineering teams, driving security standards, onboarding specifications, release gates, risk tiering, and remediation mechanisms that measurably lift the security baseline and delivery quality. Partner across engineering, architecture, SRE, QA, and business teams on priority projects, solving the genuinely hard security problems and turning the solutions into reusable platform capability and repeatable practice. What We Look For In You Strong computer science and security fundamentals — deep understanding of operating systems, networking, compilers and the JVM, distributed systems, application security, cloud-native security, and supply chain security. Both breadth and depth. Expert-level Java, with hands-on depth in the JVM, ClassLoader, Java Agent, ASM, ByteBuddy, bytecode instrumentation, and performance profiling and tuning. Plus working proficiency in Python or Go. Substantial production experience with RASP, SAST, DAST, IAST, SCA, image security, and code scanning — enough to design a capability, integrate the engine, build the platform around it, and take it to scale independently. Real offensive and defensive experience. You understand the root causes, exploitation paths, detection logic, bypass techniques, and fixes for common web, API, and microservices vulnerabilities — and can design from both the attacker's and defender's point of view. Fluency with LLMs and AI Agents, including a considered view on model capability limits, agent architecture, tool calling, context engineering, evaluation methods, and how AI is reshaping both security engineering and the attack surface. Strong engineering execution paired with product instinct — able to lead the design and delivery of security products, platform modules, and SDKs/Agents while balancing security outcomes against performance overhead, integration cost, and long-term operability. Exceptional ownership, cross-team communication, and the persistence to move security governance, rule enforcement, and remediation through to a clear result. Nice to Haves Security engineering experience at a top-tier internet company, cloud provider, or leading security vendor You've led the build of a DevSecOps platform, application security platform, RASP, code scanning platform, or cloud-native security platform Background in security product development, SDK/Agent engineering, vulnerability research, red team exercises, or purple team work Shipped AI + Security work — security copilots, intelligent rule generation, automated analysis, or remediation recommendation systems Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Acharnes, Greece Alumil, a leader in the development and manufacturing of architectural aluminum systems in Europe, is seeking an Engineering Consultant to join our dynamic sales team. As an Engineering Consultant, you will play a crucial role in assisting clients with their engineering needs, particularly in n relation to aluminum architectural solutions. Your expertise will help ensure that our products are utilized effectively in various construction projects. Your responsibilities will include: Providing technical advice and support to clients, including architects, engineers, and contractors. Conducting site visits to assess project requirements and offering tailored solutions. Collaborating with the sales team to help identify project opportunities and generate leads. Staying updated on industry trends, materials, and Alumil's product offerings to ensure the best client recommendations. Preparing technical documentation and presentations for clients. Requirements A degree in Engineering. Experience within the construction or aluminum industry is highly desirable. Strong knowledge of CAD software, particularly AutoCAD. Excellent communication and interpersonal skills to liaise with diverse stakeholders. A proactive attitude with strong problem-solving abilities. Fluency in English. Ability to work independently and as part of a team. Benefits Provision of private life & health insurance Quarter bonus scheme Continuous learning and support Excellent working environment Custom onboarding plan Company car & phone ALUMIL opposes any form of discrimination, unequal behaviour or treatment, and any violation of human rights, and is committed to ensuring equal opportunities in employment. In the recruitment and evaluation of employees, it does not discriminate on the grounds of race, sex, gender identity or gender expression, religion, age, disability, sexual orientation, nationality, political beliefs, social or national origin, or descent. ALUMIL complies with the statutory provisions strengthening the application of the principle of equal pay for men and women for equal work or work of equal value (Law 5316/2026). The selection process is gender-neutral, and recruitment procedures are conducted in a non-discriminatory manner. Candidates are assessed solely on the basis of objective, job-related criteria. Every candidate has the right to be informed, in writing or orally, of the pay range for the position prior to the job interview. The pay range has been determined on the basis of objective, gender-neutral criteria, free of any other form of discrimination, in accordance with the company’s pay structure.

Location: Moldova; Greece; Cyprus; Lithuania; Latvia; Finland About the company A well-established US education-technology company with a global presence, providing digital learning content and platforms to a large user base for over two decades. Distributed, international team working on products used by millions of active users worldwide. About the role Senior QA Engineer with Automation needed to join the Engineering team. This is a QA role with a meaningful automation component: the focus is on strong testing fundamentals, solid software design foundations, and identifying where automation adds real value, rather than a pure automation-first approach. The role involves testing complex integrated web applications across both UI and API layers. Initially, most of the work will be manual QA; in the mid term, the expected split is roughly 70/30 automation-to-manual. Responsibilities UI and API testing of complex integrated web applications Developing and refining test plans Writing and maintaining automated tests, primarily using Cypress Close collaboration with developers in an Agile environment Tracking and managing test cases using JIRA, TestRail, and Qmetry Identifying areas where manual testing processes can be automated for reliability and maintainability Requirements 4+ years of experience as a Manual QA, at a senior level Some hands-on experience with QA automation: writing or maintaining automated tests for UI or API scenarios An automation-oriented mindset: comfort with programming concepts and logical problem-solving Understanding of HTTP, HTML, AJAX, JSON, REST APIs, and client-server architecture Basic knowledge of SQL Strong written and spoken English (interviews are conducted in English) Ability to freely communicate in Russian or Ukrainian Nice to Have Hands-on experience with Cypress, Playwright, or Selenium Understanding of CI/CD systems Experience with Agile methodology Experience with JIRA, TestRail, and Qmetry Basic knowledge of Linux (Ubuntu command line) Basic Git knowledge Benefits Compensation: Up to $4,500 gross/month What's Offered Stable, long-term position with a well-established American company (many team members have 5+ years of tenure) Competitive compensation Friendly and supportive team culture Good vacation policy Contract type: Independent contractor (sole proprietor / IP), incubator arrangements are not accepted.

Location: Belgium; France; Spain; Italy; Bulgaria; Romania About the company A well-established US education-technology company with a global presence, providing digital learning content and platforms to a large user base for over two decades. Distributed, international team working on products used by millions of active users worldwide. About the role Senior QA Engineer with Automation needed to join the Engineering team. This is a QA role with a meaningful automation component: the focus is on strong testing fundamentals, solid software design foundations, and identifying where automation adds real value, rather than a pure automation-first approach. The role involves testing complex integrated web applications across both UI and API layers. Initially, most of the work will be manual QA; in the mid term, the expected split is roughly 70/30 automation-to-manual. Responsibilities UI and API testing of complex integrated web applications Developing and refining test plans Writing and maintaining automated tests, primarily using Cypress Close collaboration with developers in an Agile environment Tracking and managing test cases using JIRA, TestRail, and Qmetry Identifying areas where manual testing processes can be automated for reliability and maintainability Requirements 4+ years of experience as a Manual QA, at a senior level Some hands-on experience with QA automation: writing or maintaining automated tests for UI or API scenarios An automation-oriented mindset: comfort with programming concepts and logical problem-solving Understanding of HTTP, HTML, AJAX, JSON, REST APIs, and client-server architecture Basic knowledge of SQL Strong written and spoken English (interviews are conducted in English) Ability to freely communicate in Russian or Ukrainian Nice to Have Hands-on experience with Cypress, Playwright, or Selenium Understanding of CI/CD systems Experience with Agile methodology Experience with JIRA, TestRail, and Qmetry Basic knowledge of Linux (Ubuntu command line) Basic Git knowledge Benefits Compensation: Up to $4,500 gross/month What's Offered Stable, long-term position with a well-established American company (many team members have 5+ years of tenure) Competitive compensation Friendly and supportive team culture Good vacation policy Contract type: Independent contractor (sole proprietor / IP), incubator arrangements are not accepted.

Location: Hungary; Slovakia; Slovenia; Germany; Austria; Netherlands About the company A well-established US education-technology company with a global presence, providing digital learning content and platforms to a large user base for over two decades. Distributed, international team working on products used by millions of active users worldwide. About the role Senior QA Engineer with Automation needed to join the Engineering team. This is a QA role with a meaningful automation component: the focus is on strong testing fundamentals, solid software design foundations, and identifying where automation adds real value, rather than a pure automation-first approach. The role involves testing complex integrated web applications across both UI and API layers. Initially, most of the work will be manual QA; in the mid term, the expected split is roughly 70/30 automation-to-manual. Responsibilities UI and API testing of complex integrated web applications Developing and refining test plans Writing and maintaining automated tests, primarily using Cypress Close collaboration with developers in an Agile environment Tracking and managing test cases using JIRA, TestRail, and Qmetry Identifying areas where manual testing processes can be automated for reliability and maintainability Requirements 4+ years of experience as a Manual QA, at a senior level Some hands-on experience with QA automation: writing or maintaining automated tests for UI or API scenarios An automation-oriented mindset: comfort with programming concepts and logical problem-solving Understanding of HTTP, HTML, AJAX, JSON, REST APIs, and client-server architecture Basic knowledge of SQL Strong written and spoken English (interviews are conducted in English) Ability to freely communicate in Russian or Ukrainian Nice to Have Hands-on experience with Cypress, Playwright, or Selenium Understanding of CI/CD systems Experience with Agile methodology Experience with JIRA, TestRail, and Qmetry Basic knowledge of Linux (Ubuntu command line) Basic Git knowledge Benefits Compensation: Up to $4,500 gross/month What's Offered Stable, long-term position with a well-established American company (many team members have 5+ years of tenure) Competitive compensation Friendly and supportive team culture Good vacation policy Contract type: Independent contractor (sole proprietor / IP), incubator arrangements are not accepted.

Location: Portugal; Poland; Serbia; Montenegro; Croatia; Czechia About the company A well-established US education-technology company with a global presence, providing digital learning content and platforms to a large user base for over two decades. Distributed, international team working on products used by millions of active users worldwide. About the role Senior QA Engineer with Automation needed to join the Engineering team. This is a QA role with a meaningful automation component: the focus is on strong testing fundamentals, solid software design foundations, and identifying where automation adds real value, rather than a pure automation-first approach. The role involves testing complex integrated web applications across both UI and API layers. Initially, most of the work will be manual QA; in the mid term, the expected split is roughly 70/30 automation-to-manual. Responsibilities UI and API testing of complex integrated web applications Developing and refining test plans Writing and maintaining automated tests, primarily using Cypress Close collaboration with developers in an Agile environment Tracking and managing test cases using JIRA, TestRail, and Qmetry Identifying areas where manual testing processes can be automated for reliability and maintainability Requirements 4+ years of experience as a Manual QA, at a senior level Some hands-on experience with QA automation: writing or maintaining automated tests for UI or API scenarios An automation-oriented mindset: comfort with programming concepts and logical problem-solving Understanding of HTTP, HTML, AJAX, JSON, REST APIs, and client-server architecture Basic knowledge of SQL Strong written and spoken English (interviews are conducted in English) Ability to freely communicate in Russian or Ukrainian Nice to Have Hands-on experience with Cypress, Playwright, or Selenium Understanding of CI/CD systems Experience with Agile methodology Experience with JIRA, TestRail, and Qmetry Basic knowledge of Linux (Ubuntu command line) Basic Git knowledge Benefits Compensation: Up to $4,500 gross/month What's Offered Stable, long-term position with a well-established American company (many team members have 5+ years of tenure) Competitive compensation Friendly and supportive team culture Good vacation policy Contract type: Independent contractor (sole proprietor / IP), incubator arrangements are not accepted.

Location: Ho Chi Minh City, Vietnam Insurance is one of the world's largest industries and one of the most painful to interact with . Paper forms. Sluggish call centres. Three-week underwriting cycles. Claims that vanish into queues. We are rebuilding all of it on top of a modern platform and AI agents that actually do the work, not pretend to. You will not be picking up tickets. You will be deciding what to build, prototyping it on Monday, shipping a draft to a real customer by Friday, and improving it from real usage. We expect you to push the product, the codebase, and the way we work. Why This Role Exists We are looking for someone who treats AI as a creative material, not a feature on a roadmap. The next year of insurance is being defined right now. What gets automated, what gets reimagined, what gets thrown out. We want builders who want to be in that room and ship the answer. The team is small. The mandate is large. If your highest-energy work has historically come from solving real problems end to end, this is the seat. What You Will Do Own outcomes, not tickets. Pick the biggest lever for our customers each sprint and drive it to live. Surface the next one yourself. Build with AI as a primary tool, not a chatbot bolt-on. OCR, document understanding, generation, agent loops, evaluation harnesses. You decide where each fits. Ship prototypes fast, then make them production-grade. A working demo on day three beats a perfect plan on day ten. Work directly with customers. You will see real claims, real underwriting screens, real broker workflows. You will watch users hit dead ends and decide what to fix. Raise the bar on the codebase. Reviews, refactors, testability, observability. Not as policy, as habit. Push the team forward. Skills, agents, internal tools, engineering standards. Propose them, build them, get them adopted. Who You Are You ship. Ideas without execution do not count for you. High agency. You do not wait for a card to be assigned. You see what is worth doing and you start. Strong opinions, loosely held. You make calls with incomplete information and change your mind when the evidence shifts. Curious about the domain. Insurance is messy and full of weird incentives. That intrigues you, not annoys you. Fluent with AI. You have shipped something real with LLMs or agents. You know where the magic ends and where you have to engineer carefully. Care about humans on the other end. Insurance done right gives people peace of mind in their worst weeks. That is the point. Your Toolbox We use Node.js + TypeScript + Nest.js on the back end, Vue (and some React) on the front end, GraphQL, MongoDB, Docker, AWS. AI work spans OpenAI, Anthropic, Google, plus a growing set of in-house skills and agents. You do not need to have used every piece. You do need to be the kind of engineer who picks up a new tool and is shipping with it within the week. What We Expect at This Level 6+ years building production systems. Track record of complex, customer-facing software shipped, not just maintained. Real AI experience. You have built and shipped at least one substantive AI-driven feature. POCs that died in a notebook do not count here. Strong fundamentals. OO, design patterns, testing, web security, performance. You do not need a refresher. Cloud comfort. AWS, Azure, or GCP. At least one in depth, the rest enough to hold a conversation. Communication. You can explain a tradeoff to a non-technical stakeholder in two minutes and to an engineer in one. Not Suitable for the Role If… You prefer tickets assigned to you over choosing what to build. You measure your work in lines of code, not outcomes. You see AI as a buzzword to put on your CV rather than a tool you have actually used in anger. You want a process-heavy environment with detailed specs handed down from product. You are looking for a maintenance role on a finished platform. Why CoverGo Insurance is the rare industry where AI can save people hours of their worst weeks. We are already shipping AI-powered claims, underwriting, distribution, and document automation to enterprise carriers across five continents. The platform is real. The customers are real. The next chapter is yours to help write. Why You'll Love Working Here 13th-Month Pay Annual Performance Bonus 15 Days of Annual Leave Anniversary Bonus Health Insurance Company Activities and Events Learning and Development Plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.