Вакансии

Impact of a Senior IT Systems Engineer. As a Senior IT Engineer, you help shape and improve the systems that our 250+ person remote company relies on every day.

Build and lead a team of Solutions Engineers and SE Managers who serve as our core product introduction, evaluation, and education experts across Cribl's full platform. Design and execute a comprehensive talent strategy for the AMER SE team, encompassing recruiting, enablement, career pathing, and retention.

Location: Москва Разработки и поддержки витрин данных в Hadoop (HDFS, Iceberg, Hive), ETL - Spark, CTL - Oozie, CI/CD - Jenkins + BitBucket Обязанности • разработка DWH/DataLake/LakeHouse • построение поставки данных в Batch • оптимизация sparkовых джоб • разработка и валидация архитектуры данных Требования • отличное знание SQL (join, CTE, оконные функции, фреймы и др.) • опыт работы с Hadoop, Spark, Iceberg • опыт работы с оркестраторами (например, Airflow) и CI/CD • практическое знание Python (можно Scala) на уровне разработки ETL • практический опыт разработки промышленных ETL потоков Условия * офисный формат работы (Кутузовская) * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * льготная ипотека в Сбере, корпоративная пенсионная программа, подписка СберПрайм, скидки от партнеров и сервисов группы компаний

Location: Remote, Canada; Remote, United Kingdom; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Engineering Manager, Gitaly at GitLab, you'll guide a deeply technical team focused on building, maintaining, and providing expertise on Gitaly, GitLab's Git data storage tier. The team's work spans development of Gitaly, support for teams across GitLab, new tooling, scalability improvements, new data formats, and ongoing maintenance of the Gitaly codebase. This role is a good fit for you if you can guide senior and staff engineers through complex, long-horizon technical work while building a culture of technical rigor, clear accountability, and ownership. You'll help the team balance roadmap delivery with GitLab product and infrastructure priorities, especially as much of the team's work is centered on scaling Git storage and adjacent foundational work. Clear written communication and thoughtful technical judgment are central to how this team succeeds. Project areas include: Scaling Git storage Gitaly-related infrastructure and foundational performance work What you’ll do Manage a team of senior and staff engineers working on Gitaly and Gitaly-related infrastructure. Build a team culture where technical rigor, clear accountability, and ownership are the norm. Drive execution on complex, long-horizon work across performance, scalability, maintainability, and core Gitaly architecture. Guide the team in balancing roadmap delivery with GitLab product and infrastructure priorities. Support your engineers' growth through feedback, mentoring, career development, and stretch opportunities. Foster strong written communication and asynchronous alignment across a fully distributed team. Partner with teams like Git and other stakeholders who rely on Gitaly expertise for performance, feature design, and roadmap clarity. Represent the team credibly with cross-functional partners and in stakeholder conversations about Gitaly direction, performance, and scalability. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Experience managing engineering teams with direct reports, including hiring, performance management, and career development. A management philosophy centered on building engineer agency and ownership, with credibility grounded in consistency, follow-through, and technical judgment. Proven ability to guide highly specialized engineers through ambiguity, structured debate, high-stakes technical tradeoffs, and the realities of operating a service that is critical to GitLab. Strong written communication and remote, asynchronous collaboration skills across distributed, multi-timezone teams. You're comfortable moving work forward in documents, issue threads, and asynchronous reviews, not just in meetings. A track record of delivering under pressure on ambiguous, long-horizon technical projects with clear outcomes, and of reasoning from fundamentals about maintainability, technical debt, and long-term platform viability. Hands-on background in version control systems, distributed systems, storage engines, or other low-level infrastructure domains, with the ability to engage credibly with systems code and architecture, ideally in Go or similarly performance-sensitive environments. About the team On the Gitaly team, we build, maintain, and provide expertise on Gitaly, GitLab's Git data storage tier. Our core work includes development of Gitaly, supporting teams across GitLab, and ensuring the long-term viability of the project. We are a deeply technical team that balances long-running technical work with practical delivery. Strong collaboration with partner teams is central to how we succeed. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Bengaluru, Karnataka, India, APAC 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 looking for a high-performance, experienced engineer to be a part of a team of Senior Site Reliability Engineer. You will be working closely with engineering teams, product managers, as well as support and sales engineers to build the future of the Fivetran Data Platform Reliability. As a member of the Site Reliability Engineering team, you will take ownership of the overall performance and reliability of Fivetran’s infrastructure, the robustness of the deployment pipeline, as well as timely and effective incident response and resolution. You will take responsibility for the growth and stability of Fivetran’s infrastructure, and be a key player driving effective incident response and overall issue avoidance. Responsible for ongoing reliability and robustness of Fivetran’s production infrastructure by monitoring availability, capacity, and throughput. Evolve systems by adding reliability into our product roadmap Coordinate the re-prioritize or fix critical bugs for support or sales requirements as needed Make recommendations to production infrastructure by interfacing with engineering to ensure 100% availability Ensure scalable artifacts deployment to all environments by automation scripts Constantly monitor infrastructure vulnerabilities and remedy them by working with the security team Technologies You’ll Use Working knowledge of managed Kubernetes (EKS, AKS and GKE) Knowledge of Cloud Platforms and related tooling: AWS, Azure, GCP, Terraform, Ansible, Buildkite, Pulumi and ArgoCD Experience in Python/Shell scripting. Bonus if you have Java, GO, etc Experience with Linux operating systems internals and administration Experience with cloud networking like VPNs, Privatelinks, and Private Service connect (GCP) Experience with databases such as PostgreSQL Skills We’re Looking For 6+  Years of experience working with SaaS products at scale. Working knowledge of managed Kubernetes (EKS, AKS and GKE). Knowledge of Cloud Platforms and related tooling: AWS, Azure, Google Cloud (GCP), Terraform, Ansible, Buildkite, Pulumi and ArgoCD. Experience in Python/Shell scripting and Go Language. Bonus if you have Java. Experience with Linux operating systems internals and administration Experience with cloud networking like Site-to-Site VPNs, Privatelinks and Private Service connect (GCP) #LI-AV1 #LI-HYBRID 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: Tokyo Workplace: Hybrid ELECTRICAL AIT ENGINEER - Team: Global Manufacturing Organization – AIT Engineering - Location: Tokyo, Japan - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required).   WHO ARE WE? ICEYE is the global leader in synthetic aperture radar (SAR) satellite technology, revolutionizing Earth observation with real-time, all-weather, day-and-night imaging. As the owner and operator of the world's largest SAR satellite constellation, we provide critical insights that empower industries like defense, maritime, disaster management, insurance, and finance to make informed decisions. Headquartered in Finland and operating internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, and the US, our diverse team of more than 900 experts from nearly 60 countries shares a bold mission: to enhance life on Earth by delivering reliable, data-driven solutions. At ICEYE, we foster a culture of curiosity, innovation, and collaboration, pushing the boundaries of what's possible in space technology to solve the world's toughest challenges.   WHY JOIN ICEYE? At ICEYE, we're not just launching satellites — we're redefining what's possible with SAR technology. Join a team of passionate innovators solving real-world challenges and making a tangible impact. We foster a dynamic and inclusive environment where your ideas are valued, your growth is supported, and your contributions truly matter. With continuous learning opportunities, cutting-edge projects, and collaboration with industry-leading experts, you'll have the chance to grow, innovate, and shape the future of Earth Observation.   WHAT WILL YOU DO IN THIS ROLE? ICEYE is seeking an Electrical AIT (Assembly, Integration & Testing) Engineer to own the electrical/avionics side of production end to end -- integration, debugging, continuous improvement, and adapting processes as new designs come through. In this role, you will be the technical expert responsible for satellite-level testing, system validation, and electrical functional performance. You will ensure that the satellite's power, propulsion, GNC, GPS, and CDH/OBC systems perform as a cohesive, flight-ready unit, ensuring the spacecraft meets ICEYE's high standards for reliability and mission success.   KEY RESPONSIBILITIES - Execute unit-level and satellite-level verification and validation (V&V) campaigns, focusing on power, propulsion, GNC, GPS, and CDH/OBC functional performance and system health. - Lead the integration of electrical/avionics hardware with satellite subsystems (power, propulsion, GNC, GPS, CDH/OBC, thermal), ensuring seamless interoperability. - Test and validate the hardware/software interface -- telemetry and telecommand behavior, CDH bus interfaces, and OBC-driven subsystem responses -- without owning flight software development or debugging, which sits with the Software AIT team. - Develop and maintain test scripts and automation (Python) to enhance the efficiency, repeatability, and coverage of functional and environmental test campaigns. - Act as a primary technical contact for electrical-related integration issues; perform root cause analysis (RCA) and coordinate with power/propulsion/GNC engineering to resolve anomalies. - Support production readiness and design reviews (e.g., PRR, CDR) by providing feedback on electrical testability, HIL and EGSE requirements, and system configuration. - Contribute to and improve AIT documentation, including electrical test procedures, integration plans, and configuration records. - Interface with Global AIT, Power/Propulsion/GNC Engineering, and Mission Operations teams to ensure alignment on product standards and lessons learned. - Drive continuous improvement initiatives in electrical integration methods, test efficiency, and build reliability.   REQUIREMENTS & QUALIFICATIONS - 3+ years of hands-on experience in electrical/avionics integration, testing, or production of complex systems, preferably in aerospace or high-reliability hardware industries. - Working proficiency in scripting and automation (Python preferred) for test development and data analysis. - Deep technical understanding of satellite electrical architectures, including power systems, propulsion, GNC, GPS, and/or CDH/OBC. - Proven experience in multidisciplinary engineering environments with a focus on system-level validation. - Familiarity with hardware-in-the-loop (HIL) testing, environmental testing (EMC, vibration, thermal), and configuration management processes. - A systems engineering mindset, capable of anticipating integration risks and connecting the dots between software logic, hardware interfaces, and mission operations. - Proficient in English, both written and spoken, to ensure clear communication in a cross-functional environment.   NICE TO HAVE - Experience using Atlassian Cloud (Jira, Confluence) - Lean & Six Sigma experience - Experience with power system EGSE, propulsion functional testing, or GNC/GPS calibration beyond routine test execution - Ability to improve and/or write test scripts in Python - Strong track record of enabling design-for-testability (DFT) and design-for-manufacturing (DFM) - Proficient in Japanese, both written and spoken   WHAT'S IN IT FOR YOU? - A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach. - An independent role with a supportive and diverse work environment. - Health insurance. - Time for self-development, research, training, conferences, or certification schemes. - Relocation support, where applicable (e.g., flight tickets, accommodation, relocation agency support). - Inspiring, collaborative offices and silent workspaces that enable you to focus.   DIVERSITY, EQUITY, AND INCLUSION At ICEYE, diversity is more than just a value — it's our greatest strength. We're dedicated to creating an inclusive environment where every voice is not only heard but celebrated. Diverse perspectives drive innovation and creativity, so we actively seek individuals from all backgrounds and experiences. No matter your background, we encourage you to bring your authentic self to the team. Join us and be part of a workplace where differences are embraced and valued, because together, we're stronger. Apply now to begin your ICEYE journey and help us make the impossible possible. Learn more about ICEYE and life at our company at iceye.com http://iceye.com. Ready to launch your career? Apply now and help us build the future of Space Tech! 🚀

Location: San Francisco Perplexity is seeking an Engineering Manager to lead and grow our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer https://www.perplexity.ai/computer, the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users. As the engineering manager supporting the Agent Engine team, you'll bring AI expertise, sharp product intuition, and strong leadership and collaboration skills to advance the frontier of what agents can accomplish for our millions of devoted users. You'll lead, grow, and support a team in solving many open problems in AI, including: - Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users; - Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. RESPONSIBILITIES - Provide technical leadership across multiple layers of a rapidly growing product in the AI agents space. - Develop and leverage cutting-edge AI systems and related technologies to advance the capability frontier and scale those capabilities for a rapidly growing userbase. - Exercise sharp technical & product intuition to guide the team’s system architectures and product roadmaps. - Drive product reliability, code quality, AI evaluation, testing, and maintenance for the broader team. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Interface with the Perplexity co-founders to deliver strategic objectives that redefine what’s possible in the AI industry. QUALIFICATIONS - Strong foundational familiarity with the AI systems stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Domain knowledge in at least one of the following areas: - Harness engineering - Agent Skills and plugin architectures - Model training and reinforcement learning - Browser technologies (CDP, Playwright, extension development, etc.) - Strong technical intuition and taste for user experience excellence. - Strong organizational skills for managing and delivering parallel technical projects; ability to guide highly-opinionated teams in making sound tradeoffs and prioritization decisions is critical. - Experience managing engineering teams, including recruiting, growing, and retaining high-caliber talent. - 8+ years of engineering experience, with at least 3 of those years as an engineering manager.

Prime Intellect is looking for a Research Engineer RL Infrastructure to build and optimize systems for large-scale reinforcement learning and distributed training.

Baseten is looking for a Senior IT Systems Engineer to own identity, authentication, access controls, and IT automation.

Принимать обращения клиентов в рабочих чатах, по электронной почте и телефону, регистрировать их в системе учёта. Уточнять симптомы, собирать техническую информацию и определять влияние проблемы на работу клиента.

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Remote-Friendly (Travel Required) | San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. Security at that scale runs on data, and you'll be the engineer who owns it and the systems that produce it: component-level hardware inventory and chain of custody, fed by software that runs at our sites and on hosts, and continuous control monitoring, with the posture calculations that decide what each site is cleared to run. You set the architecture, agree schemas and interfaces with the teams, operators and vendors that own the sources, build the pipelines, stores and tools, and run what you ship. The goal is security that runs itself: custody, access and evidence verified continuously from records, with tools and AI agents doing the reviews. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. You'll work with the rest of DCSE, including the engineers on its security monitoring platform, with Anthropic's compute and data center operations teams, and directly with data center operators, hardware vendors and logistics providers. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure. Key responsibilities Hardware inventory and chain of custody: own the component-level record of what hardware exists, where it is and who has handled it: the data model, the pipelines that join inventory and custody events from many source systems, change history on every record, and the tamper-evident stores behind it Tools, automation and AI agents: build the tools and agents the team runs on this data: reconciliation, audit evidence exports, custody checks. When a review keeps costing people time, you build the tool or agent that retires it Custody workflows and field software: build the workflows and the site and host software that capture custody events as they happen (a receipt, a move, a data wipe, a decommission) and enforce who is authorized to record them Continuous control monitoring and posture: own the pipelines that turn check outcomes, assessment results and findings into per-control and per-site measures over time, against the compliance frameworks we and our partners are assessed against, and the posture calculation that decides what a site is cleared to run Data quality: build coverage checks, reconciliation against sources and alerts on a silent or drifting feed, so a wrong or missing record is caught the same day; own retention and access controls on the records Integration and reporting: agree schemas and interfaces with the engineers who run the security monitoring platform, and build the query surfaces and reports the team, site leads and leadership use directly Minimum qualifications Have designed and run production data systems (relational schemas, change data capture, batch or streaming pipelines and the services around them) and kept them correct: coverage measured, records reconciled against the source, alerts on silence, and a design that expects records to get corrupted or lost Have integrated with systems you did not control (inventory tools, ticketing systems, vendor APIs) and built data models that outlive any one source Have shipped software that runs outside a central service (host agents, site-local services, edge collectors) and kept it correct in the field, or built metrics a team made decisions on and defended them when challenged Have worked hands-on with data about physical assets or security controls: a hardware fleet, data center or supply chain inventory, asset custody, or the control and evidence data of a security or compliance program Read and review other people's code, and build with AI coding agents using Git and code review Own a domain end to end: set the approach, design and build it with the teams and vendors whose systems it depends on, and run it as something people use every day Write SQL and at least one general-purpose programming language well Preferred qualifications Experience with asset management, supply chain or warehouse systems where serialized tracking and custody transfer are the core problem Experience building continuous control monitoring or metrics for a security or compliance program, or producing evidence an assessor accepted, for example against NIST SP 800-53, ISO 27001 or SOC 2 Experience with risk or posture scoring that combines control results, findings and other evidence into a measure people make decisions on Familiarity with data center hardware and its lifecycle from receipt to decommission, and with sites and parties you did not control: colocation, cloud or GPU cloud operators, hardware manufacturers, logistics providers Have run software on many hosts or at remote sites with versioned rollout and a way to know each copy is still reporting Have built AI agents or automation that replaced recurring manual work The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The Role We are seeking highly experienced Site Reliability Engineers (SRE) to shape the reliability, scalability and performance of our platform and customer facing applications. You will work closely with our software engineers and research teams to ensure our systems meet and exceed our internal and external customers' expectations.     What You Will Do As a Site Reliability Engineer, you balance the day-to-day operations on production systems with long-term software engineering improvements to reduce operational toil and foster the reliability, availability, and performance of these systems.   Operations • Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads • Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.) • Implement and improve monitoring, alerting, and incident response systems to ensure optimal system performance and minimize downtime • Implement and maintain workflows and tools (CI/CD, containerization, orchestration, monitoring, logging and alerting systems) for both our client-facing APIs and large training runs • Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences   Development • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments • Build a cloud-agnostic platform offering an abstraction layer between science and infrastructure • Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, refactoring, new API-based features, web apps, dashboards, etc.) • Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements • Document processes and procedures to ensure consistency and knowledge sharing across the team • Contribute to open-source projects, research publications, blog articles and conferences   What We're Looking For • Master’s degree in Computer Science, Engineering or a related field • 7+ years of experience in a DevOps/SRE role • Strong experience with cloud computing and highly available distributed systems • Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...) • Experience working against reliability KPIs (observability, alerting, SLAs) • Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...) • Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...) • Familiarity with infrastructure-as-code tools like Terraform or CloudFormation • Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices • Strong understanding of networking, security, and system administration concepts • Excellent problem-solving and communication skills • Self-motivated and able to work well in a fast-paced startup environment   Your application will be all the more interesting if you also have: • experience in an AI/ML environment • experience of high-performance computing (HPC) systems and workload managers (Slurm) • worked with modern AI-oriented solutions (Fluidstack, Coreweave, Vast...) WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote - Ontario, Canada (DNU) 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 Staff Machine Learning Engineer on Twilio’s AI/ML Platform team. About the job We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality. You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software. Responsibilities In this role, you’ll: Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration. Identify opportunities to leverage small language via fine-tuning/distillation. Build ML systems that hold up at Twilio scale. Set standards and tooling for building evals across a range of AI/ML capabilities. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. 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: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs. Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale. Strong communication skills and highly effective collaborator who works well with teammates. Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.). Desired: Prior experience building evals for autonomous agents and large language models. Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Prior experience working in a globally distributed team. Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research. Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. 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. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $160,320 - $200,400 Target Bonus Percentage 12.5% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic 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.

Location: Waco, TX Project Engineer Michels Energy Solutions, Inc. Location: Temple, TX | Full-time | Travel Required Michels Energy Solutions, Inc. (MES) serves as the general contracting and prime contractor arm of Michels, delivering complex energy and industrial infrastructure projects across North America. MES provides turnkey project execution, leveraging Michels' self-perform capabilities to manage every phase of construction, from planning and procurement through field execution and project closeout. With deep expertise in pipelines, gas distribution systems, compressor and pump stations, industrial facilities, utility infrastructure, and energy-related construction, MES partners with clients to safely deliver critical projects that power economies and support growing communities. Known for tackling challenging scopes and providing integrated solutions, Michels Energy Solutions combines the resources of a national contractor with the agility, accountability, and hands-on leadership needed to successfully execute large-scale energy and industrial projects. Our work improves lives. Discover how a career at Michels Energy Solutions, Inc. can change yours. As a Project Engineer with Michels Pipeline, Inc. , you will support the successful execution of pipeline construction projects by assisting with planning, coordination, and field operations. This role offers hands-on experience in all phases of project delivery, including scheduling, cost tracking, quality control, and collaboration with field crews and project managers. You will gain practical exposure to how complex pipeline projects are built safely, efficiently, and to the highest standards. Why Michels Energy Solutions, Inc.? We consistently ranked among the top 10% of Engineering News‑Records Top 400 Contractors We’re a national leader in pipeline with a long track record of success. Our steady, strategic growth revolves around a commitment to quality. Family‑owned and operated organization with long‑term stability We invest an average of $5,000 per employee per year in training and career development. We perform high-impact, essential work that supports homes, businesses, and communities. A culture where everyone shares responsibility for safety , regardless of title We’re part of the Michels family of companies—one of North America’s largest and most diversified energy and infrastructure contractors. We offer a comprehensive benefits program including: Health, Dental, and Life Insurance Flexible Spending Accounts (FSA) and Health Savings Account (HSA) Short- and Long-Term Disability Insurance 401(k) Retirement Plan Legal Assistance and Identity Theft Protection Plans (Benefits may vary based on position and location) Why you? You like to surround yourself with dedicated, value-driven people You value challenges and opportunities over a 9 to 5 job You learn from the past and push ahead toward the future You like to know your efforts are noticed and appreciated You believe that individual commitment to a group effort is key to success You want your work to make a difference in people’s lives What it takes? Bachelor of Science in Construction Management or Engineering preferred or relevant industry experience Prior Internship or Full-Time experience working in a construction field based or related role Experience with job cost tracking software, estimating software, Trimble Business Center and Primavera (preferred) Strong verbal and written communication skills A valid driver license for the type(s) of vehicles you may be driving and an acceptable driving record Travel (must have the ability to commit to long term onsite projects) AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Pembroke, NH Project Engineer Michels Energy Solutions, Inc. Location: North East, US | Full-time | Travel Required Michels Energy Solutions, Inc. (MES) serves as the general contracting and prime contractor arm of Michels, delivering complex energy and industrial infrastructure projects across North America. MES provides turnkey project execution, leveraging Michels' self-perform capabilities to manage every phase of construction, from planning and procurement through field execution and project closeout. With deep expertise in pipelines, gas distribution systems, compressor and pump stations, industrial facilities, utility infrastructure, and energy-related construction, MES partners with clients to safely deliver critical projects that power economies and support growing communities. Known for tackling challenging scopes and providing integrated solutions, Michels Energy Solutions combines the resources of a national contractor with the agility, accountability, and hands-on leadership needed to successfully execute large-scale energy and industrial projects. Our work improves lives. Discover how a career at Michels Energy Solutions, Inc. can change yours. As a Project Engineer with Michels Pipeline, Inc. , you will support the successful execution of pipeline construction projects by assisting with planning, coordination, and field operations. This role offers hands-on experience in all phases of project delivery, including scheduling, cost tracking, quality control, and collaboration with field crews and project managers. You will gain practical exposure to how complex pipeline projects are built safely, efficiently, and to the highest standards. Why Michels Energy Solutions, Inc.? We consistently ranked among the top 10% of Engineering News‑Records Top 400 Contractors We’re a national leader in pipeline with a long track record of success. Our steady, strategic growth revolves around a commitment to quality. Family‑owned and operated organization with long‑term stability We invest an average of $5,000 per employee per year in training and career development. We perform high-impact, essential work that supports homes, businesses, and communities. A culture where everyone shares responsibility for safety , regardless of title We’re part of the Michels family of companies—one of North America’s largest and most diversified energy and infrastructure contractors. We offer a comprehensive benefits program including: Health, Dental, and Life Insurance Flexible Spending Accounts (FSA) and Health Savings Account (HSA) Short- and Long-Term Disability Insurance 401(k) Retirement Plan Legal Assistance and Identity Theft Protection Plans (Benefits may vary based on position and location) Why you? You like to surround yourself with dedicated, value-driven people You value challenges and opportunities over a 9 to 5 job You learn from the past and push ahead toward the future You like to know your efforts are noticed and appreciated You believe that individual commitment to a group effort is key to success You want your work to make a difference in people’s lives What it takes? Bachelor of Science in Construction Management or Engineering preferred or relevant industry experience Prior Internship or Full-Time experience working in a construction field based or related role Experience with job cost tracking software, estimating software, Trimble Business Center and Primavera (preferred) Strong verbal and written communication skills A valid driver license for the type(s) of vehicles you may be driving and an acceptable driving record Travel (must have the ability to commit to long term onsite projects) AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: United Kingdom; Spain; Hungary; Bulgaria; Poland; Italy; Netherlands; France Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for an experienced Data Engineer to join our Data team. You will build and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams. - Own and streamline data pipelines from ingestion to delivery, ensuring they are reliable, scalable, and efficient. - Implement and maintain dbt best practices, data standards, and quality controls. - Build self-service tooling and write clear documentation to empower cross-functional teams (Engineering, Revenue Operations, Growth, and others) to independently meet their data needs. - Create AI agents to serve data questions for others REQUIREMENTS Demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team. - Expert knowledge of dbt (required). - Proficiency with tools across the modern data stack (Python, SQL, BI tools). - Strong infra fundamentals (Terraform or other infrastructure as code, GCP or other cloud providers) - Structured thinking; ability to simplify complex, messy data into clear structures. - Strong ability to understand varied stakeholder requirements and build generalised solutions. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, Warsaw, New York. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Our Global Trade Support team provides mission critical support for many of our proprietary and third-party trading systems as well as our proprietary middle and back-office systems.  They support a wide variety of trading teams globally who are participating in markets such as equities, fixed income and cryptoassets.  They perform technical support and engineering functions that include application support in testing and production environments, software deployment and configuration, and system monitoring. What you’ll do in this role: Work as part of a team to establish best-in-class production support, efficient software deployment, configuration processes, and proactive monitoring, with a goal of anticipating and avoiding issues before they occur, minimizing downtime and quick recovery from any incidents. Ensure maximum trading system availability to avoid missing any key trading opportunities Provide support for various trading groups’ production systems across a variety of asset classes and geographic locations deployed across a multi-platform production environment (primarily Linux with a little Windows) Develop proprietary process automation and monitoring tools and leverage third-party technologies as appropriate Troubleshoot trading system production incidents resulting from internal (proprietary software / systems) or external factors (markets, data feeds, telecommunication lines) Automate software configuration and rollout procedures to reduce manual configuration errors and strive for flawless change management Support core market connectivity and correspond with exchanges regarding trade order activity, connectivity, and other related technical support issues Collaborate with traders, DBAs, development, back office, QA, infrastructure, technical support, business development and various management teams around the globe. Help end users and developers understand core trading and back-office systems to ensure efficient and correct use of available tools. Build documentation for common procedures, troubleshooting scenarios and system architecture. Coordinate efforts with other global support teams to ensure continuity and consistency of support in a 24x7 environment What’s needed in this role: Superior troubleshooting skills and the ability to navigate issues efficiently that do not have a pre-defined runbook process Prior experience supporting high performance applications, process monitoring, and troubleshooting Prior experience supporting equities/equity options trading Prior experience working with FIX protocol and alternative exchange protocols Script development experience a plus SQL experience including queries/updates/table creation/basic database maintenance Linux & Windows platform support experience in a large-scale production environment Experience supporting electronic trading systems; prior experience at proprietary trading firm preferred Demonstrated knowledge of network communications, including use of multicast networking Must have some flexibility in work schedule to help ensure team coverage; rotating on-call coverage required B.S. in Computer Science or equivalent degree Self-motivation and intellectual curiosity;  desire to continually grow and always seek improvements in production support function High level of ownership and accountability, reliability, and strong follow through Ability to handle pressure and time constraints with composure; ability to multitask and context switch efficiently Strong organizational skills, including ability to effectively plan and prioritize Must have strong communication skills and demonstrate the ability to have clear and concise conversations, both written and verbal, with a variety of personalities Must be able to quickly apply prior context to troubleshooting and communication efforts The annual base salary range for this position is $175,000 to $225,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1