Вакансии

Location: Munich, Germany; Berlin, Germany What client look for: You design, build, and optimize scalable data pipelines and architectures that form the foundation for analytics and AI solutions. You ensure that data from various sources is efficiently integrated, transformed, and made available for business and analytics use cases. You collaborate closely with Data Scientists, Consultants, and Product Owners to deliver end-to-end data solutions with measurable business impact. You develop and maintain ETL/ELT processes that ensure data quality, reliability, and performance. You take ownership of cloud-based data infrastructures (Azure, AWS, or GCP) and contribute to their continuous improvement. You leverage containerization and workflow tools (e.g. Docker, Airflow) to build robust, automated, and reproducible systems. You develop solutions with a clear end-to-end mindset, from raw data ingestion to production deployment. You actively contribute to the evolution of our data strategy, tooling, and best practices within Client. Requirements What the client requires: You hold a degree with excellent grades in Computer Science, Data Engineering, Information Systems, Mathematics, Physics, or a related field. You have strong experience in Python and SQL as foundational tools for data integration, transformation, and automation. You have hands-on experience in building and managing ETL/ELT pipelines and data workflows. You are experienced with cloud environments (preferably Azure, alternatively AWS or GCP). You are familiar with containerization and workflow orchestration tools such as Docker and Airflow. You have experience with Infrastructure as Code (e.g. Terraform) to manage scalable, reproducible setups. You understand data lakes, data warehouses, and streaming technologies (e.g. Kafka, Kinesis). You ideally have experience with distributed processing systems like Spark, Snowflake, or Databricks. You ensure data quality, observability, and monitoring as integral parts of your solutions. You enjoy cross-functional collaboration with Data Scientists, Product Owners, and clients. You are a service-oriented and communicative team player with a high degree of self-responsibility and passion for your work. You have strong communication and presentation skills, and can explain complex topics clearly. You speak English fluently; regional languages are an advantage. Benefits What you can expect: Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company. You will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.

Location: Munich, Germany; Berlin, Germany What Client look for: You help clients unlock the full potential of their data strategy, by combining strategic thinking, hands-on implementation, and close collaboration with clients and internal teams. You advise leading companies on the organizational and technical optimization of data management. You support change management and data strategy initiatives to ensure sustainable success. You design and implement data strategies, architectures, and scalable data processes. You work closely with clients to co-create pragmatic and impactful solutions that drive digital transformation. You develop innovative data products that create real business value. You conduct data analyses and visualizations to uncover insights and identify improvement opportunities. You facilitate workshops, perform process assessments, and deliver tailored training sessions. You contribute to developing best practices, innovative solutions, and continuously challenge the status quo. Requirements What the client requires: You hold a completed university degree with excellent academic performance in Computer Science, Data Science, Information Systems, or a related field. You have gained first professional experience in data management, analytics, or digital transformation consulting. You possess strong knowledge of SQL and Python as well as hands-on experience with cloud platforms such as AWS, GCP, or Azure. You are familiar with visualization tools such as Power BI, Tableau, or Looker, as well as modern data platforms. You demonstrate excellent communication and presentation skills and are able to convey complex topics in a clear and practical manner. You bring a proactive, service-oriented mindset and stand out through a high level of ownership and commitment. You feel comfortable working in a collaborative and agile environment where you can fully develop your potential. You are fluent in English; additional local language skills are a plus. Benefits What you can expect: Your impact is crucial : You actively shape the digital future in a highly motivated & smart team in direct cooperation with the founders & partners, creating real added value by linking strategy and implementation. Your hard work pays off! You benefit from attractive salary packages, participation in sales success, and exclusive investment opportunities. In addition, we promote our top talents through the 'Digital Leaders of Tomorrow' program and thus offer you further exciting benefits. Your development - client concern: From day one, you will be supported on your journey through a wide range of development opportunities, quickly take on responsibility, and have the opportunity to shape your individual career at the company, and you will become a digital leader! Your working environment: You will be immersed in a diverse and family-friendly environment with a strong team spirit, benefitting from a flexible and hybrid working model in one of our offices in Munich, London, Amsterdam, Milan, and Berlin. Your view into the future: You will work at the cutting edge and gain valuable insights and practical experience with a focus on digital business models and data-driven value creation in eight forward-looking industries. Your benefits on top: You can look forward to regular team events and joint sports sessions, an attractive company pension scheme, access to local fitness and wellness partnerships, as well as mobility and meal allowances, and a wide range of other company benefits.

Location: United States (Remote) Workplace: Remote DIRECTOR OF ENGINEERING, COMPUTE Companies at the frontier of the AI revolution run on Temporal. OpenAI runs on Temporal, handling millions of requests. Cursor runs its cloud coding agents on Temporal at over 50 million actions a day across 7M+ workflows, and more than a third of the pull requests its users merge now come from those agents. Lovable, Abridge, and Hebbia build their agents on it too. In the last year alone, AI-native companies executed 1.86 trillion actions on Temporal Cloud, and the curve is still bending upwards. Backed by a recent $550M Series E at a $12.55B valuation, we are building the durable execution layer the agentic era depends on. The Compute team owns the layer all of that runs on. We are looking for a Head of Engineering to lead the effort to make any aspects of Temporal's compute invisible to our customers, allowing them to focus on application layer innovation, while we handle the compute muck. This is a rare, build-the-foundation mandate: the compute substrate that the world's most demanding AI workloads will run on. We want a leader who has operated compute at planet scale, thinks in fleets, goodput, and cost-per-unit-of-compute, and pairs that with the operational rigor to run a service that frontier-AI companies bet production on. WHAT YOU'LL DO - Strategic direction for Compute: Own the strategy and standards of excellence for the compute layer that the world's agents run on, across design, delivery, and operations. Build a culture of ownership, quality, and customer-first decision-making. - Technical leadership: Lead, hire, and grow a high-ownership team; roll up sleeves, ready to do deep into the trenches, by staying close to design docs and code, rather than managing from a distance. Coach engineers, level them up, and clear the friction that slows them down. - Roadmap & trajectory: Drive the arc from today's compute toward the next-generation of compute platforms. Ground prioritization in customer and design-partner feedback, and turn ambiguous, fast-moving requirements into predictable, iterative delivery. - Operational excellence: When you run frontier AI in production, reliability is the product. Own operations, run on-call and incident response, and drive blameless postmortems and the systemic fixes that prevent recurrence. - Technical depth: Guide the hard architectural decisions for large-scale, multi-tenant compute, where technical concerns cut across workload isolation and security, scheduling, fleet efficiency / utilization / goodput, and performance, while ensuring the platform is reliable and efficient for the workloads that depend on it. - Capacity, supply & economics: Own utilization, capacity and supply planning, and the cost-per-unit-of-compute and margin profile of the fleet, across CPU compute today and accelerated compute ahead. - Cross-team & customer execution: Partner with leadership, Product, SDK, UX/DX, Security, and design-partner customers to align priorities and unblock delivery. Communicate progress, tradeoffs, and risk clearly to technical and non-technical audiences alike. WHAT YOU'LL BRING - Proven experience leading software engineering teams that build and operate large-scale compute platforms or fleets, with strong operational practices. - 15+ years in software and/or infrastructure engineering, including 10+ years of people management and demonstrated ownership of delivery and live-site outcomes. - Deep distributed-systems and compute infrastructure depth, with the hands-on judgment to guide architecture and execution rather than from a distance. - Experience operating multi-tenant compute that other people's production workloads depend on. - Bachelor's degree in Computer Science or related field, or equivalent practical experience; advanced degree a plus. - Excellent communication skills, with the ability to partner across engineering, product, and leadership and fold customer feedback into the roadmap. - Strong leadership, coaching, and performance management; ability to grow engineers and build a healthy, accountable, high-ownership team. - Excellence in execution: planning, prioritization, and delivering iterative milestones in an ambiguous, fast-moving environment while managing unplanned work. - Fleet thinking: utilization, goodput, capacity and supply planning, and cost discipline as first-class engineering concerns. - Live-site reliability craft: on-call, incident management & response, and postmortem-driven continuous improvement. - Strong command of the building blocks of a compute platform: multi-tenant isolation and security, scheduling, and resource management. - Ability to review and raise the bar on technical artifacts (design docs, code reviews) across a distributed-systems codebase. NICE TO HAVE - MicroVMs and virtualization (Firecracker, gVisor, Edera) or managed-compute primitives (AWS Fargate, GCP Cloud Run, AWS Lambda), and/or Kubernetes internals. - Building serverless or hosted-compute products from 0 to 1, including the rapid-delivery-vs-durable-platform tradeoffs that come with it. - Multi-cloud delivery across AWS and GCP. - Cold-start, warm-pool, and scheduling/latency optimization for on-demand compute. - Agent sandboxes, secure execution of untrusted code, or other AI-agent infrastructure. - GPU / accelerated compute: fractional GPUs (MIG, MPS, time-slicing), GPU scheduling, training vs. inference fleets, and multi-tenant GPU isolation. --- The ideal candidate is a strategic thinker with a hands-on approach, energized by building the compute foundation the AI era runs on. They are comfortable shaping a space that doesn't fully exist yet, obsessed with reliability when customers bet production on it, default to working backwards from customers, and balance the speed to ship 0-to-1 against the durable design a planet-scale platform demands. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Engineering Manager Location: Remote US Compensation: $215,000 to $240,000 base plus bonus and equity What You’ll Do: The Huntress team is looking for an innovative, highly motivated, and self-driven Principal Software Engineer to join our Huntress SIEM team. As a Principal Software Engineer at Huntress, you will be responsible for leading a feature delivery team in the design, development, and high-quality release of software features for the Huntress SIEM Platform that provides for automated detection and human-powered threat hunting. You will focus on creating the technical vision for new and exciting features from the product roadmap. You’ll be working with a smart and diverse team of problem solvers who exhibit high energy, deep technical skills, and a drive to get things done. As a Principal Software Engineer, you will work closely with the platform and architecture teams to design and build the type of solutions Huntress has become known for, which are solutions that not only solve problems but drastically improve industry standards, workflows, and user experiences. Responsibilities: Own delivery, product quality, and up-time of complex mission-critical features/systems Impact objectives and initiatives that span across departments Lead technical decisions with company-wide impact Evolve our collective understanding of our technical domain Define long-term strategic technical goals and initiatives Effectively communicate strategic technical vision and set an example for the organization Work with the team engineering manager to make sure the team is meeting technical expectations and upholding strategy Communicate critical trade-offs on technical approaches across the platform Collaborate closely with the team engineering manager, product manager, security research, platform, and architect on strategic initiatives and technical designs Develop and enforce best practices for the team and department Design and optimize workflows that bridge the gap between traditional development practices and AI-assisted engineering. Build and evolve AI tooling and usage in daily development workflows Experience using AI coding agents to accelerate development Engage with customers as necessary Contribute to and improve the organization's test frameworks and approaches Develop a deep cross-product understanding of features and architecture Own and drive the performance impact of team/department solutions and the overall platform suite Lead and develop high-quality, scalable software, software designs, and architecture, and set standards for team excellence Own improving visibility into software systems at scale, including monitoring and alerting Focus on the entire life cycle of the system, including evolution, configuration, and risk management Ensure code quality and test code coverage through code reviews, test plan reviews, and security reviews Lead the team in providing accurate estimates and taking ownership of the timely completion of work Mentor and coach junior engineers, fostering an environment that values professional development and promotes collaboration and engagement Actively engage with the team and lead by being a positive role model What You Bring To The Team: 15+ years of experience developing complex software products 8+ years of programming in Ruby on Rails 8+ years of large scale database experience A BS in Computer Science or Engineering or equivalent experience gained through work Experience with modern data storage and query systems for high-volume analytics workloads Experience in Agile or Scrum environment Experience with JavaScript and CSS Experience reviewing code, problem-solving, and technical troubleshooting A deep understanding of ActiveRecord (Rails) Excellent technical, diagnostic, and troubleshooting skills Ability to grasp new tools and technologies quickly Effective communication and interpersonal skills Ability to prioritize and execute multiple tasks at a time in a fast-paced environment, often operating independently Ability to distill complex technical topics so that they can be shared and understood by a non-technical audience meaningfully Ability to work cross-functionally between multiple teams Passion for technology, strong motivation, and responsibility for high-quality software features Ability to build strong interpersonal relationships with product, development teams, leadership, senior management, and internal and external stakeholders Helpful experience, but not required Experience working with SIEM platforms or security log/event data Experience with AWS, Azure, and/or GCP cloud environments Experience with Stimulus , Turbo , and/or Hotwire (or similar frameworks) Experience working in a Ruby on Rails monolith A passion for building platform capabilities Eagerness to work with Tailwind CSS , Tailwind UI and Flowbite Experience with data-led product design Experience with Clickhouse Experience with Vector What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Мы развиваем ИТ-продукт, который включает в себя масштабную WEB-платформу и интерактивного Telegram-бота / Mini App. Наш стек: Python, Airflow 2+, dbt Core, ClickHouse, PostgreSQL, Docker, GitLab. Продукт быстро растет, и сейчас мы ищем Data Engineer, который поможет нам масштабировать аналитическую инфраструктуру и сделать работу с данными быстрой и надежной. Задачи: — Разрабатывать и поддерживать ETL/ELT-процессы на базе Airflow и dbt Core — Интегрировать новые источники данных: PostgreSQL, внешние API и сервисы — Развивать существующее хранилище данных на ClickHouse и поддерживать аналитические витрины — Оптимизировать SQL-запросы и производительность пайплайнов — Поддерживать и развивать инфраструктуру аналитической платформы (Docker, Airflow, dbt) — Взаимодействовать с аналитиками для реализации новых витрин, метрик и источников данных — Участвовать в расследовании инцидентов, связанных с качеством данных и работой пайплайнов — Поддерживать техническую документацию и участвовать в передаче знаний внутри команды Требования: — Опыт на позиции инженера данных от трёх лет — Уверенное знание SQL и опыт работы с аналитическими СУБД — Практический опыт работы с ClickHouse: проектирование таблиц, выбор движков, партиционирование, оптимизация запросов — Опыт разработки и поддержки ETL/ELT-процессов: способность самостоятельно выбирать способ интеграции источника данных, проектировать структуру загрузки, хранение и обновление данных с учетом требований бизнеса и технических ограничений — Опыт работы с Apache Airflow 2+: разработка, поддержка и отладка DAG'ов, понимание механизмов планирования, зависимостей и мониторинга пайплайнов — Опыт работы с dbt Core — Хорошее знание Python: умение разбираться в существующем коде, дорабатывать и разрабатывать новые компоненты интеграций и пайплайнов — Опыт работы с PostgreSQL и понимание особенностей инкрементальных выгрузок данных — Опыт интеграции внешних REST API — Понимание принципов контейнеризации и опыт работы с Docker / Docker Compose — Умение самостоятельно декомпозировать задачи и доводить их до результата Будет плюсом: — Опыт работы с Airflow 3+ — Опыт работы с BigQuery — Опыт работы с Google Analytics / GA4 — Опыт работы с облачными платформами (GCP, Yandex Cloud, AWS) — Понимание базовых принципов работы блокчейн-сетей и транзакционных данных — Опыт использования AI-инструментов для разработки и сопровождения кода Формат работы: удаленно Часовой пояс: MSK

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role: The Senior DevOps Engineer will be responsible for the design, building, and maintenance of the infrastructure of our cloud platform. This role involves tackling challenging, large-scale infrastructure projects, with a focus on ensuring organizational reliability, scalability, security, and adherence to best practices. Main Roles and Responsibilities: You will directly influence our platform's scalability to support growth and R&D efficiency Own Infrastructure projects end-to-end, from research and design to implementation and rollout. Lead Infrastructure improvements around high availability, resiliency, performance and cost efficiency. Evaluate and implement new technologies that upgrade our infra posture. Collaborate with other engineers to define standards, patterns and platform roadmap. Serve as a technical expert in infrastructure decisions and a driver of engineering excellence. Job Requirements: At least 7+ years of hands-on experience in DevOps in large-scale infrastructure companies. Passion for elegant and effective technological solutions. Independent learning capability and curiosity without boundaries. Strong analytical and problem-solving skills. Proven ability to lead complex technical projects independently. Technical requirements: Advanced experience with Kubernetes and container orchestration. Strong proficiency with IaC Frameworks such as Terraform and Terragrunt, CDK Solid hands-on experience with AWS services. Strong understanding of network fundamentals. Experience with GitOps tools (ArgoCD) Experience with advanced CI/CD pipelines Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

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. About the Opportunity This is not a traditional GRC hire. The Tech G overnance Office is looking for someone who combines the governance judgment of a seasoned compliance professional with the drive of a forward-deployed engineer — someone who closes gaps by shipping solutions, navigates ambiguity without hand-holding, and operates with the urgency of a startup and the rigour of a regulated financial institution. You will own complex cross-functional workstreams independently — coordinating across Engineering, Legal, Product, and Finance — while managing external auditors and regulators. Strong written and verbal communication in both English and Mandarin is a meaningful advantage in this role. AI tooling is not optional; it is how you work. Who You Are Self-directed driver — You run cross-functional workstreams without being managed. Ambiguity is a starting point, not a blocker. AI-native operator — You already use AI to do more, faster — and you raise the floor for the teams around you. Clear communicator — You earn trust across regulators, auditors, and C-suite through precision and consistency — in any room. Culture Fit Pace Standards Startup velocity — Decisions move fast. Priorities shift. You ship, iterate, and adapt — without waiting for perfect conditions or top-down direction. Financial institution rigour — Audit trails matter. Regulators scrutinise. The bar for accuracy, documentation, and accountability is institutional-grade — always. > The tension between these two is not a bug — it is the job. We are looking for someone who holds both without compromise. What You’ll Be Doing Independently lead audit remediation programmes — assess gaps, develop structured plans, and drive verified closure across engineering, product, legal, and operations without escalation dependency. Own cross-functional governance workstreams — set milestones, coordinate accountability, and remove blockers across departments with limited management oversight. Conduct IT security and architecture governance reviews — assess whether systems and processes meet applicable standards, and issue findings with clear ownership and remediation timelines. Build and maintain the policy estate — draft, refine, and operationalise IT governance policies and procedures; translate regulatory requirements into implementation-ready guidance for first-line teams. Lead regulator and auditor engagement — serve as the primary coordination interface for external audit and regulatory correspondence, representing the Tech G overnance Office with credibility and precision. Deploy AI to accelerate compliance operations — prototype and scale AI-assisted workflows for evidence collection, control monitoring, audit response, and policy generation; drive team-wide adoption. Deliver Tech G overnance -level reporting — produce governance dashboards and executive briefs on remediation status, risk exposure, and regulatory posture, independently and to publication standard. Track the regulatory horizon — monitor evolving requirements across active jurisdictions, translate changes into prioritised internal action, and brief senior leadership proactively. What We Look For In You AI Adoption & Application — Must Have Active daily use of AI tools to accelerate compliance and governance work — demonstrated practice with measurable output impact, not theoretical awareness. Ability to identify, build, and scale AI-assisted workflows within a Tech G overnance office context — evidence automation, policy generation, audit response, or control monitoring. Working knowledge of AI governance and risk — sufficient to contribute to internal AI oversight frameworks and assess AI-related compliance obligations. Independent Cross-Functional Leadership — Must Have Demonstrated ability to own and drive complex, multi-stakeholder workstreams independently — setting direction, coordinating accountability, and delivering outcomes without management escalation. Track record of influencing without authority across engineering, legal, finance, and operations in a fast-moving environment. Comfortable operating under ambiguity and shifting priorities while maintaining institutional-grade standards for accuracy and documentation. Experience 8+ years in IT audit, risk management, compliance, or security governance 3+ years leading governance programmes at a large-scale internet, financial services, or crypto firm Exposure to IPO-readiness or high-scrutiny regulatory examination programmes preferred Frameworks & Standards ISO 27001, SOC 1/2, PCI-DSS, COBIT, NIST — deep working knowledge GDPR and APAC data protection regimes Crypto and blockchain-specific compliance risk awareness a strong asset Engineering Sensibility Able to read and interpret code, architecture diagrams, and technical design documents without engineer-translation dependency Familiarity with cloud environments (Alibaba Cloud, AWS, GCP) and associated security tooling Communication Executive-level written and verbal communication in English — board-ready governance briefs, regulator responses, and Tech G overnance -level reporting produced independently Proficiency in Mandarin (written and verbal) is a strong advantage for APAC regulatory and stakeholder engagement Preferred Qualifications Professional security or governance certification: CISA · CISSP · CRISC · CISM · CCISO · Agentic AI Experience building AI-powered compliance tooling — audit automation, continuous control monitoring, or policy-to-control mapping Prior involvement in SOX ITGC, SEC Reg S-K Item 106, or equivalent listing-authority tech governance programmes Crypto-native compliance exposure — Proof of Reserves, SAB 121, Travel Rule, AML/CFT programme governance Active regulatory footprint across MAS, VARA, FCA, HKMA/SFC, or equivalent Why This Role OKX operates across 50+ jurisdictions with live regulatory programmes. The Tech G overnance Office is building infrastructure-grade compliance capability — not checkbox compliance. This is a rare opportunity to shape how that work gets done: independently, at pace, and with AI at the centre of the method. 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! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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: Remote (USA) Workplace: remote Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.   We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.   For more information, visit arcadia.io.     Why This Role Is Important to Arcadia  The Director, Analytics is a senior level position responsible for shaping analytic strategy and delivering high-impact insights across complex customer engagements. This role reports directly to the VP of Analytics and operates as the highest-level analytic authority on our productionalized analytics engines and dashboards; driving methodological rigor, influencing business strategy, and ensuring analytics directly support contractual commitments and measurable performance outcomes. This individual will lead a team of SQL analysts and BI developers to deliver scalable analytic solutions. Given the scale, visibility, and complexity of the work, this role requires deep healthcare domain expertise, advanced technical capability, strong executive presence, and the ability to operate autonomously in ambiguous environments.   What Success Looks Like In 3 months Develop deep understanding of enterprise data architecture, reporting commitments, and performance objectives Establish credibility as a strategic analytic partner to senior leaders and to your direct reports Contribute to builds across backend and frontend deliverables Provide guidance on complex analytic workstreams and influence prioritization decisions Build trust from team of 4-8 analysts/dashboarders and understand how team fits into priorities Work to refine current OKRs and build team out necessary to execute on those OKRs In 6 months Drive measurable improvements in analytic quality, scalability, and efficiency Lead cross-functional initiatives requiring advanced methodological expertise Serve as trusted advisor on medical economics, risk, episodes, and dashboarding Create rigorous performance management framework for team to be evaluated against Ensure AI integration into analytics workflows In 12 months What You'll Be Doing Define and lead analytic strategy across large-scale, high-visibility engagements Architect advanced analytic frameworks supporting medical economics, performance measurement, population health, and value-based care initiatives Serve as the senior-most analytic escalation point for complex methodological or data integrity questions built in DBT (Spark, SQL) and Amazon Quicksight Drive cross-functional alignment across Product, Engineering, Actuarial, Data Science, Finance, and Customer Success Ensure technical excellence and rigor in all analytic deliverables; establish quality standards and governance practices Identify scalable opportunities for automation, reusable intellectual property, and analytic innovation Present insights and strategic recommendations to senior and executive-level stakeholders Mentor and develop Lead, Senior, and Data Analysts, elevating analytic capability across the team Influence product and roadmap decisions through data-driven thought leadership What You'll Bring 8–10+ years of healthcare analytics experience, with experience in medical economics or risk and dashboarding required Advanced SQL proficiency, including optimization of complex queries in large data environments Advanced Dashboarding proficiency, experience with Quicksight a plus (Tableau, Looker, Power BI, etc. are acceptable) Experience designing analytic methodologies and scalable frameworks Demonstrated success influencing senior or executive stakeholders Proven experience leading large, complex analytic initiatives and teams with significant business impact Strong data storytelling and executive-level communication skills Experience mentoring and elevating senior analytic talent Would Love For You To Have Experience supporting large, enterprise healthcare clients Experience working within AWS or large-scale cloud data environments Proficiency in DBT pipelines a plus Experience shaping product or analytics roadmaps at a strategic level Experience using AI tools to enhance your coding and workflows as they relate to analytics What You'll Get Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care A flexible, remote friendly company with personality and heart Employee driven programs and initiatives for personal and professional development Become a member of the talented, energized, diverse and purpose-driven Arcadian Community. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Limassol, Cyprus Workplace: remote Our team is developing a payment gateway for accepting funds from users on behalf of merchants, as well as sending funds from merchants to users. The system involves storing user payment data and is subject to PCI DSS compliance. It contains multiple integrations with payment systems, providers, and other gateways and processors, including 3DS. Job Responsibilities Developing new payment features and services; Processing and resolving requests from technical support and users as part of daily duties; Designing and implementing APIs (external and internal); Creating and maintaining processes in Camunda; Participating in the design and development of high-load system architectures; Supporting and enhancing existing solutions and services; Writing high-quality, test-covered code (unit tests, integration tests); Conducting code reviews; Optimizing system performance and database queries; Analyzing and resolving production incidents and bugs; Analyzing documentation from external providers, conducting quick checks, and defining epics and tasks based on Proof of Concept; Collaborating with the QA team to ensure the high quality of the delivered product; Maintaining technical documentation and writing technical specifications; Assisting in onboarding new developers and ensuring code quality; Definition and formation of technical epics — analyzing existing solutions, identifying opportunities to improve system architecture, performance, and reliability, preparing improvement proposals, and aligning them with the team lead and architect; Participation in the creation of business epics — analyzing requirements, assessing feasibility, and proposing alternative or optimized solutions based on technical expertise; collaborating with analysts and product managers to determine the best implementation approach; Preparing tasks based on approved epics, ensuring proper detailing and alignment with architectural and business requirements; Estimating task completion timelines, participating in sprint planning, and providing accurate technical time and effort estimates. Important and Challenging Tasks: Creating and developing reliable payment solutions with high security and performance levels; Processing and resolving requests from technical support and users as part of daily duties; Optimizing the performance and scalability of payment systems; Integrating complex external providers; Participating in ensuring system compliance with high-security requirements (PCI DSS and others). You’ll thrive here if you have 3+ years of commercial development experience with Kotlin; Experience with the Spring Framework; Experience in developing payment solutions (billing, payment gateways, payment processors, exchanges); Practical experience integrating with external providers; Experience designing and optimizing relational databases (MySQL); Experience with NoSQL databases (Redis); Practical experience using AI-assisted coding tools (Claude, Codex, ChatGPT, Codeium, etc.) to improve speed and quality of development; Ability to critically review AI-generated code, ensuring production-ready quality and compliance with company standards; Knowledge of Event-Driven Architecture principles and experience working with distributed messaging systems (e.g., Apache Kafka); Excellent command of core software development and design principles, test-driven development (TDD), and CI/CD processes; Strong understanding of microservice architecture. Preferred Qualifications: Experience with Camunda (creating and supporting processes); Solid understanding of PCI DSS standards, ISO 27001, and other information security methodologies; Practical experience working with AWS; Experience with Jira and GitLab CI/CD. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: Full remote work. Competitive compensation with a service contract. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most. Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage. Career growth in a fast-scaling project with opportunities to influence technical decisions. A culture of recognition: our peer reward program celebrates contributions from across the team. Benefits are provided in accordance with the company’s policies and eligibility criteria. Recruitment process HR interview (40 min); Interview with hiring managers (1,5 hour); Test task; Final interview (1 hour) optional; Recommendations check; Offer.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: Our customers build the frontier of AI on top of Nebius — training state-of-the-art models, running production inference at scale, shipping the research and products that define where the field is going next. We are building the AI cloud that the people building the frontier of AI choose deliberately — not on price, not on raw capacity, but on how it works to use it day to day. To do that, we are growing the AI Compute Platform product team and hiring multiple Technical Product Managers across the full surface of the platform. Your scope will be defined by what you bring. We will match your technical strengths, customer experience, and product instincts to the area of the platform where you can have the most impact. The platform is broad — and at our scale, every slice is mission-critical. If you want to help build the best AI cloud in the world — and you have the technical depth to engage engineering leaders as a peer (not as a translator) and the comfort to talk to customers directly — this team is for you. The platform you'll help build: Hardware platforms & launch — bringing new GPU and CPU platforms (GB300, Vera Rubin, ARM/Grace, future generations) to production with full launch readiness across the stack. Cluster lifecycle & fleet operations — new region launches, 100,000+ GPU cluster bring-up, platform sharding and allocation architecture, release engineering, host-lifecycle automation, operational efficiency. Reliability & Mission Control — autohealing, health checks, SLA, fault-tolerant training, MTTR reduction, customer trust at scale, observability as a product. Customer experience & developer surface — Compute APIs, console, CLI, IMDS and in-VM signals, self-service workflows, notifications, customer-facing observability, unified UX across the product line. GPU & InfiniBand foundational services — drivers, firmware, NCCL, IB/RoCE, NVLink topology, the foundational layer everything else builds on. Managed runtime platforms — Soperator (Slurm-on-Kubernetes) and MK8S (Managed Kubernetes for AI workloads), powering training and inference for frontier labs. Platform integrations & emerging workloads — Token Factory integration, RL and agentic workload infrastructure, capacity sharing, new business surfaces as they emerge. Cross-platform program & delivery — NVIDIA partnership programs, major-maintenance orchestration, cross-stream releases. You will own one of the slices of this platform end-to-end — from strategy and roadmap through delivery, adoption, and measurable outcomes. Your responsibilities will include (regardless of which slice you own): Own end-to-end product responsibility for your area — strategy, roadmap, discovery, delivery, adoption, measurable customer and platform outcomes. Design and own the platform contracts customers depend on — APIs, semantics, system events, customer-facing surfaces, operational behavior — at hyperscaler quality. Drive cross-team execution across platform engineering, networking, storage, Soperator/MK8S, observability, IAM, billing, capacity planning, support, and product design. Turn customer pain into product commitments through structured discovery — interviews, usage analytics, support patterns, incident postmortems. Close the loop so the same class of failure or friction does not recur. Engage engineering as a technical peer — debate API design, reason about system trade-offs, judge the quality of platform internals, and push back when the design is wrong. Define and own success metrics — what you ship is measured by what changed for the customer or the platform, not by the size of the spec. Be the product voice that customer-facing teams (Support, CX, TAMs) escalate to when a system behavior, API contract, or operational pattern needs a product decision, not a workaround. We expect you to have: 6+ years in Product Management, Platform PM, Infrastructure PM, or SRE / Engineering Lead with strong product instincts. Strong technical foundation and cloud-infrastructure depth — comfort reasoning about API semantics, control-plane vs data-plane behavior, system events and lifecycle, multi-tenant operational realities. You can engage engineering leaders as a peer, not as a translator. Experience with cloud, GPU, or HPC infrastructure — either building one or operating one at meaningful scale (thousands of nodes, multi-region, multi-tenant). Track record of shipping technically complex platform products with measurable customer or platform impact — quantitative results, not aspirational bullets. Strong analytical skills: comfort defining and instrumenting product metrics, working with telemetry, building data-informed roadmaps. Experience leading discovery-heavy work — structured customer interviews, usage analytics, support-ticket analysis — and turning insights into shipped product. Strong communication and ability to align engineering, SRE, customer-facing teams, and exec stakeholders. High ownership, bias to ship, comfort with messy operational reality, and the instinct to push back on engineering when the customer experience or platform quality would suffer. It will be an added bonus if you have (these are not all required — different strengths fit different slices of the platform): Customer-facing experience and lived-it perspective: Direct PM experience with frontier AI customers — ML platform teams, MLOps engineers, training and inference at scale. Familiarity with Kubernetes, Slurm, or HPC environments from the user side, and ML training workflows. Hands-on experience with ML training and inference workflows — especially distributed training at scale (multi-node, multi-GPU; comfort with checkpointing, NCCL, fault-tolerant training, debugging large training jobs). Experience as a customer of AI cloud infrastructure at large scale — especially as part of an internal ML platform team that built and operated infrastructure for ML engineers inside your own company. If you have lived through what frustrates customers about clouds, you will know exactly what we are trying to fix. Hardware, GPU, and HPC depth: Direct experience with NVIDIA reference architectures (NVL72, SuperPOD, MGX, DGX) and the NVIDIA stack (drivers, CUDA, NCCL, DCGM). Familiarity with InfiniBand / RoCE fabrics, firmware lifecycle, topology-aware scheduling. Hands-on with GPU clusters or HPC fabrics at thousands-of-nodes scale. Cluster and fleet operations: Background in Kubernetes lifecycle (CAPI, cluster upgrades, node-pool management) or Slurm at scale. Experience launching new cloud regions or data-center bring-ups end-to-end. Background in release engineering, change management, or major-maintenance orchestration in production environments. Customer experience and developer surface: Exposure to console / CLI / API design at hyperscaler quality — AWS, GCP, Azure depth on consistency, versioning, idempotency, error semantics, deprecation policy. Background in observability product — Grafana, Datadog, Honeycomb, New Relic. Knowledge of customer trust artefacts — status pages, RCA workflows, audit logs, SLA reporting, maintenance notifications. Familiarity with developer-experience product patterns — Stripe, Cloudflare, Vercel, Supabase, Render. Reliability and operational outcomes: Background in SRE, reliability engineering, or fault-tolerant systems for paying customers. Familiarity with reliability metrics that matter: Goodput, MFU, MTTR, MTBF. Experience with autohealing systems and graceful failure semantics. Emerging workloads and integrations: Familiarity with RL / agentic / inference workload patterns — vLLM, SGLang, Ray, Token Factory-style serving, sandbox technologies (Firecracker, gVisor, Kata). Experience with multi-product cloud integrations — capacity sharing, billing models, cross-product packaging. Background in pricing strategy for infrastructure products (reserved / on-demand / preemptible tiers, two-part pricing). Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Morocco; Egypt Intetics, a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Java developer to enrich its team with a skilled professional to spread the company’s ideas, vision, content, and messages. Connected Car, Autonomous Self-Driving Vehicle technologies, IoT, Embedded Application Development, Internet Radio and Mobile Apps are just some of the cool things we work on here at Abalta Technologies. We are pioneers in the navigation and mapping industry and have worked with over 60 global name brands since our inception. We are looking for a passionate, ambitious software engineer who is able to take responsibility for the backend of our product and is able to select the right technologies and tools to build the solution within our set of core technologies. If you are able to turn those into a working solution for the client we invite you to join our team. We are looking for Java Developers to join our growing team to work on digital map projects. Primary Responsibilities: Have a BS or MS in CS, CE, or EE 5+ years work experience with Java programming Have excellent written and verbal communication skills Be self-motivated. Must be able to anticipate problems, spot opportunities and take a proactive approach to responsibilities Be motivated to continue to learn new skills Have strong interpersonal skills to facilitate working within a team and with the customer Responsibilities: Software subsystem design and implementation Attend code and design reviews Interact with customers Help drive the technical direction of the engineering group in the following areas: Coding standards and guidelines Agile/Scrum methodology Provide assistance to other engineers in a constructive manner that will promote productivity One or more of the following additional skills are highly desired: Experience with HERE OLP, OLP API Experience with Python Experience with GIS Experience with GPS and mapping APIs Experience with Agile/Scrum development methodology Experience with AWS Experience with IntelicsML

Location: Morocco; Egypt Description Intetics, a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Golang Developer to enrich its team with a skilled professional who will help drive innovation and deliver cutting-edge solutions. We specialize in high-performance backend development, cloud-native applications, distributed systems, and scalable microservices architectures . Our projects span across various industries, including IoT, cloud computing, fintech, AI-driven solutions, and real-time data processing . We are looking for a passionate and ambitious Golang engineer who can take ownership of backend development, selecting the right technologies and tools to build robust and scalable solutions. If you thrive in an innovative environment and can transform ideas into working solutions, we invite you to join our team. We are seeking Senior Golang Developers to contribute to our growing team and work on complex, high-load backend systems. Primary Responsibilities: Develop, optimize, and maintain scalable, high-performance backend applications using Golang . Design and implement microservices-based architectures and cloud-native solutions. Ensure code quality, scalability, and maintainability through best development practices. Participate in code reviews, design discussions, and architecture decisions . Work closely with cross-functional teams to design and deliver high-impact solutions. Troubleshoot and optimize existing systems for performance, security, and reliability . Contribute to technical documentation and knowledge-sharing within the team. Responsibilities: Requirements: 5+ years of experience in software development, with a strong focus on Golang . Solid understanding of concurrent programming, distributed systems, and microservices . Experience working with RESTful APIs and gRPC . Familiarity with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Knowledge of CI/CD pipelines, automated testing, and DevOps practices . Strong problem-solving skills and the ability to work independently. Excellent communication and teamwork skills. Nice to Have: Experience with message brokers (Kafka, RabbitMQ, NATS). Understanding of GraphQL, WebSockets, and streaming architectures . Experience in AI/ML, IoT, or blockchain-related projects . Familiarity with security best practices in backend development. Prior experience working in Agile/Scrum development environments . Experience with IntelicsML

Location: Toronto, Ontario, Canada From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About The Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re seeking an enthusiastic Staff Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our NoSQL data pipeline services. This is a full-time position based out of Fivetran's Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration. Technologies You’ll Use Java NoSQL Databases (MongoDB, Amazon DynamoDB, Azure Cosmos DB, Elasticsearch, Firebase) Relational Databases (Db2 z/OS, CockroachDB) GCP, Azure, AWS Bazel, Github Claude Code, ChatGPT Codex What You’ll Do Write and deliver code reliably, along with automated tests (unit and integration). Optimize critical parts of the code. Lead team projects. Identify risks and break down projects into tasks for one or more engineers with effort estimates. Drive innovation by experimenting with new technologies and problem solving approaches. Independently create technical designs for major features while actively seeking feedback. Write common components to be used within the team or department. Mentor engineers on improving all aspects of their code, according to established coding practices. Resolve customer issues in collaboration with customer support. Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring. Use AI coding agents to automatically generate code for use cases such as incident resolution, feature development, testing, and investigations. Skills We’re Looking For Expert in Java development Experience developing reliable software with high-volume data management under strict SLAs Experience working with popular cloud platforms (e.g. AWS, GCP, Azure) Expert in database internal architecture (e.g. you can explain how a database internally responds to particular events and requests) Knowledge of popular NoSQL databases (e.g. MongoDB, Amazon DynamoDB) Knowledge of and appreciation for clean code practices Leverages and keeps up with the frontier of agentic AI development Optional Bonus Skills Experience working with MongoDB and/or Amazon DynamoDB change data capture Experience developing data integration tools (ETL or ELT) Experience identifying and optimizing performance bottlenecks in distributed systems #LI-HYBRID #LI-AM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Ontario Pay Range $167,548 — $209,435 CAD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Задачи: — Проектирование архитектур безопасности для облачной инфраструктуры и приложений с применением принципов secure-by-design. — Сотрудничество с командами продукта и архитектуры для внедрения средств контроля безопасности и автоматизации моделирования угроз. — Аудит и проверка реализации мер безопасности в инфраструктурных манифестах и CI/CD пайплайнах. — Контроль безопасности продукта при миграции из дата-центров в публичные облака, такие как AWS. — Консультирование инженерных команд по лучшим практикам безопасности и требованиям нормативного соответствия. Требования: — Возможность релокации из России или Беларуси. — Опыт обеспечения безопасности микросервисов, разработанных на JavaScript и TypeScript. — Владение инструментами CI/CD (GitLab, Jenkins) и Infrastructure-as-Code (Terraform, Helm, CloudFormation). — Практические навыки разработки на Python или Shell. — Глубокое понимание безопасности цепочки поставок, целостности программного обеспечения и безопасной доставки ПО. — Опыт работы с Docker и mesh-технологиями, такими как ISTIO. Будет плюсом: — Опыт проектирования безопасных сервисов на Kubernetes и AWS. — Знание законов о конфиденциальности, таких как GDPR, и отраслевых стандартов PCI, ISO 27001, NIST. — Профессиональные сертификаты в области безопасности (CISSP, CISM, CCSK, CCSP, CEH). Условия: — Медицинская страховка с глобальным покрытием. — 23 рабочих дня отпуска в году плюс оплачиваемый больничный. — Пакет релокации, включающий билеты, проживание в отеле до 2 недель и визовую поддержку для сотрудника и семьи. — Возможности профессионального развития и изучения языков. — Ежегодный пересмотр вознаграждения и регулярные тимбилдинги.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role We are seeking an exceptional Staff Applied Researcher to join our Applied Science team. You will be responsible for building the algorithmic systems that power Garner — determining how we evaluate providers, make recommendations, and optimize for outcomes across cost, quality, and access. You will be responsible for turning ambiguous, real-world problems into systems that deliver measurable impact, defining the objective functions, metrics, and logic that drive our product. You will own these systems end-to-end, from problem definition through production and ongoing performance. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner Review applied science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. The ideal candidate has: 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred A bias toward action, quickly translating ideas into working prototypes to test approaches Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong communication skills, including at the executive level, with a track record of driving alignment across an organization A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. Why this role This is a unique opportunity to work on high-impact search problems in healthcare, helping shape how members find better care through algorithmic systems that directly influence healthcare outcomes. Compensation Transparency: The target base comp range for this position is $260,000 – $382,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Austin, Texas, United States Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. Director of Engineering – Data Platform About Vectra AI Vectra AI is transforming cybersecurity through AI-driven threat detection and response.Our platform ingests and analyzes petabytes of customer telemetry, including network packets, logs, identity signals, and security events, to surface real-time insights, advanced detections, and autonomous security outcomes. The Data Platform organization sits at the heart of that mission, powering analytics, detections, machine learning, and next-generation AI capabilities. The Opportunity We're looking for a Director of Engineering to lead the teams that form the foundation of everything Vectra builds. You'll own the systems that ingest, process, store, and analyze petabytes of security telemetry daily, and you'll drive the platform forward to support modern AI workloads, autonomous security workflows, and next-generation analytics. This role is first and foremost an organizational leadership role, but technical credibility is non-negotiable. You'll need to be architecturally fluent, able to engage deeply on system design, challenge assumptions, and identify risks before they become problems. You'll work closely with our platform architects on technical direction, but you're expected to bring your own point of view and push back when something doesn't hold up. What You'll Do People and Organizational Leadership Build, grow, and mentor high-performing engineering teams across multiple geographies. Develop engineering managers and senior technical leaders through coaching, sponsorship, and career investment. Foster an inclusive culture built on trust, ownership, and accountability, where distributed teams can do their best work. Create the conditions for strong execution: clear priorities, healthy team rhythms, and an environment where engineers can focus on meaningful work. Cross-Functional Leadership Align priorities and investment decisions with Product, Security Research, AI, Infrastructure, and Customer teams. Communicate platform strategy, progress, risks, and trade-offs clearly to executive leadership. Partner with customer-facing teams to understand evolving data requirements and scaling challenges. Influence company-wide direction around data, AI, and platform capabilities. Execution and Operational Excellence Lead delivery of large-scale platform initiatives, balancing innovation, reliability, and speed. Set engineering best practices across data processing, schema evolution, data quality, and service-level objectives. Own production operations, incident management, and continuous improvement. Ensure predictable delivery while keeping a clear line of sight to customer impact and long-term platform health. Technical Strategy and Platform Direction Engage deeply on architecture decisions for scalable, reliable, and AI-ready infrastructure, able to ask hard questions, identify gaps, and pressure-test designs alongside platform architects. Champion a platform-first mindset with self-service APIs, strong developer tooling, observability, and documentation that accelerate Data Science, AI/ML, and product teams. Drive adoption of modern platform capabilities including feature stores, vector storage, and model serving infrastructure. Champion the use of AI to improve engineering productivity, software delivery, and incident response. What You'll Bring Required 10+ years of software engineering experience, including 5+ years leading engineering organizations. Proven track record building and operating large-scale data platforms in production. Deep expertise across large-scale data infrastructure: distributed systems, data ingestion pipelines, stream and batch processing, and storage systems at scale including object stores, columnar databases, and time-series systems. Champion the use of AI to improve engineering productivity, software delivery, and incident response. Experience with Databricks, including Spark-based processing and the Databricks platform ecosystem. Experience running ML or AI workloads in production, including platforms, feature stores, or inference infrastructure. Operational mindset: SRE principles, incident response, and a culture of reliability. Experience building or operating platforms that support LLM-based applications, including retrieval, embeddings, and model serving. Preferred Background in cybersecurity, NDR, SIEM, XDR, observability, or related domains. Track record optimizing cloud costs and performance at scale on AWS, Azure, or GCP. Background in real-time detection systems or streaming analytics What Success Looks Like A platform trusted and widely adopted by Data Science, AI, and engineering teams, known for reliability, self-service, and ease of use. Faster time-to-production for analytics, detections, and AI-powered applications. Reduced time from telemetry ingestion to model experimentation and deployment. High-performing teams with strong leadership pipelines and a culture people want to stay in. Industry-leading infrastructure supporting both advanced detections and autonomous security operations. Why This Role Matters Every detection, investigation, and AI-driven insight Vectra delivers runs on the platform you'll lead . You'll shape the organizational and technical direction of a platform that protects organizations worldwide from some of the most sophisticated threats in existence, and you'll build and develop the teams that make it possible. Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position. Vectra Total Rewards $189,000 — $222,300 USD Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Location: Remote, Germany, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re seeking a Principal Software Engineer to contribute to the technical architecture, design and development of Fivetran’s Managed Data Lake product offering. As part of a senior engineering team, you’ll partner with product and engineering teams to build scalable, high-performance systems, advance open-source technologies, and set technical standards that raise the bar across the organization. This is a full-time remote position based out of Germany. Technologies You’ll Use Java, C++, Postgres, Temporal, gRPC AWS, GCP, Azure, Kubernetes, Grafana Iceberg, Polaris, Delta Lake, Parquet, DuckDB What You’ll Do Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands. Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team. Contribute to open-source projects such as DuckDB and Polaris. Embrace Fivetran innovations with open-source standards and toolsets. Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them. Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance. Set technical directions and influence cross-functional teams. Skills We’re Looking For 6+ years of hands-on or research experience with high-performance relational data management systems. Deep understanding of infrastructure & software optimizations and performance engineering to drive significant performance, latency, and availability improvements. Proven track record of leading and delivering large and complicated projects. Strong development skills in Java and C++. Solid experience with public clouds (AWS, Azure, GCP). Demonstrated knowledge of columnar storage formats. Growth mindset and excitement about breaking the status quo by seeking innovative solutions. Excellent team player who is consistent in making everyone around you better. Bonus Skills Strongly prefer an MS or PhD in Computer Science, ideally focusing on database management and/or storage engines. #LI-IM1 #LI-REMOTE Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote - India 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  Tech Lead/Sr. Principal Engineer (L6) in Emerging Technologies. About the job This position is needed to contribute hands-on technical expertise, collaborate on rapid prototyping, and develop innovative solutions as part of Twilio’s incubation team. As a Tech Lead, you’ll work closely with cross-functional partners to design and build new product ideas, leveraging modern technologies and your problem-solving abilities. This is a high-impact opportunity for growth and learning, helping Twilio experiment and stay ahead in the evolving tech landscape. You will be accountable for enabling rapid experimentation in partnership with the ETI tech lead. Welcome to Twilio Forward, the incubation lab where we push boundaries, unlock next-era growth, and turn the once-unimagined into reality. As part of our Emerging Tech team, you will pioneer Horizon-3 initiatives that fundamentally redefine how humanity interacts with artificial intelligence. From launching Ola, the world’s first agent-native communication channel, to engineering the ground-breaking Agent-to-Human (A2H) protocol, we are actively building the control room for the autonomous future. If you are a builder driven to disrupt the status quo, reimagine what’s possible, and engineer what comes next, your journey starts here. Responsibilities In this role, you’ll: Architect & Deliver: Design, develop, and own the end-to-end implementation of high-stakes prototypes and robust, production-ready solutions. Spearhead AI R&D: Drive the technical direction and collaborate with cross-functional teams to experiment with, validate, and integrate AI, machine learning, and frontier technologies. Champion Engineering Excellence: Establish governance for code reviews and pioneer continuous improvements to engineering standards, mentoring peers to elevate overall code quality. Influence & Evangelize: Articulate complex technical concepts, architectural decisions, and project velocity clearly to executive stakeholders and engineering peers alike. Drive Agility: Navigate ambiguity and rapidly pivot technical strategies in response to shifting requirements, user feedback, and fast-paced market dynamics. 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: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. 12+ years of professional software development experience. Proficiency across modern programming languages such as JavaScript, Python, Java or Go with the ability to select the right tool for the job. Experience building applications using front-end (React, Angular) and/or back-end (Node.js, Springboot) frameworks. Data Architecture: Solid understanding of database technologies, including both SQL and NoSQL paradigms and when to select them. Next-Gen Workflow: Mastery of an agentic coding operating model; highly effective at leveraging advanced dev tools, Model Context Protocol (MCP), and LLMs to drastically accelerate AI-assisted development. Strong problem-solving skills and a collaborative mindset with effective communication skills for technical discussions. Extreme Autonomy: Exceptional ability to navigate intense ambiguity, self-unblock execution, and ruthlessly solve ambiguous problems without requiring constant structural support. Leadership & Collaboration: Strong communication and mentorship skills, with a collaborative mindset suited for high-bandwidth technical discussions. Desired: Hands on exposure to LLM, AI, or machine learning principles or projects. Cloud Architecture: Deep knowledge of cloud-based platforms (AWS, Azure) and the design principles of distributed systems. Ability to ramp up on new technologies, solution against well defined problems and to be iterative about building. Passion for innovation and exploring emerging technologies. Experience working in remote or globally distributed teams. Contributions to open source or tech community projects. Location This role will be remote, and based in India (only in Karnataka, Tamil Nadu, Telangana, Maharashtra, Delhi). 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. 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.