Вакансии

Location: Clarksville, TN Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. FEs (Filed Engineers) effectively address quality issues arising in the market through regional market quality improvement activities (SVC riding, quality improvement, emergency response) and disseminate these findings to each department to support improvement. - Identify customer pain points through SVC riding, respond on-site, identify areas for improvement, and support product improvement. - Recover returned parts and deliver them to each business unit for improvement support. - Quality product quality activities. - Inspection and analysis of returned products. - Training of returned product inspectors. - Conduct warehouse audits to improve warehouse operations. - Emergency response to quality issues. JOB REQUIREMENTS Bachelor degree Quality Engineer or Mechanical Engineer Bilingual (Korean-English) QAULAIFICATIONS 5 years of manufacturing quality experience JOB REQUIREMENTS Able to lift a maximum of 25 lbs. multiple times a day during a 10 hour shift. Bend and stand in difficult positions up to 12 hours; Able to manipulate tools with both hands and stand for long hours. . Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Des Moines, IA Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description Join Olsson’s Data Center Design team as an Associate Mechanical Engineer, where you’ll support on complex, mission-critical projects, including hyperscale data centers and secure facilities. This role works within a multidisciplinary team known for delivering innovative, high-performance building systems. You’ll help provide technical knowledge on strategies that safeguard infrastructure, protect assets, and meet the most rigorous code and client requirements. You’ll collaborate with architects, MEP engineers, and security professionals across sectors such as data centers, healthcare, higher education, commercial, industrial and federal facilities. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills. Ability to contribute and work well on a team. Bachelor’s degree in ABET accredited engineering or engineering technology degree recognized by NCEES. A minimum of one year of engineering experience. Must possess Engineer Intern certificate (EI) via the NCEES Fundamentals of Engineering Exam. Interested in pursuing NCEES Professional Engineer (PE) license. Experience with REVIT Autodesk software #LI-DD1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Overland Park, KS Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description We are looking for a highly motivated and collaborative upcoming civil engineering graduate with experience or interest in transportation engineering and bridges to work on challenging projects including bridges, retaining walls, dams, storm and traffic structures, inspections rehabilitations, load ratings, and assisting with construction engineering services. You will be responsible for providing basic project design through CAD drafting, performing research and writing technical reports, and traveling to job sites for observation, as needed. You will be able to collaborate with roadway, traffic, geotechnical, and stormwater engineers on projects that make a positive impact in our community while simultaneously offering you the ability to grow and pick up a wide array of skills. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills. Ability to contribute and work well on a team. Bachelor’s degree in civil engineering with structural emphasis or closely related field. Master’s degree, or in pursuit, a plus. Ability to obtain Engineer-In-Training (EIT) certificate within 18 months of employment by passing the Fundamentals of Engineering (FE) exam. Candidates graduating in December 2026 are strongly encouraged to apply. 0-4 years of relevant experience. Experience with Microsoft Word and Excel. Familiarity with MicroStation and AutoCAD Civil 3D, a plus. #LI-DNP Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Remote, 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 We're hiring an Engineering Manager to lead the Semantic Layer team in Bengaluru. You'll own the health, delivery, and growth of the team behind MetricFlow — building and coaching a group of engineers, setting technical direction in partnership with your leads, and ensuring one of the most important projects in the modern data stack keeps shipping with quality and momentum. This is a hands-on leadership role. You'll spend most of your time growing people, running a healthy delivery process, and shaping strategy — but you'll stay close enough to the code and the architecture to make sound technical calls and earn the trust of a senior engineering team. You'll also be the steward of a public, community-facing open-source project, balancing the needs of internal roadmap and external contributors. About the team The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications. This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. The team works at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business. What you'll do Lead, coach, and grow a team of software engineers building MetricFlow — hiring, onboarding, career development, performance management, and day-to-day support. Own delivery for the Semantic Layer team: planning, prioritization, execution, and predictable shipping of high-quality software. Partner with your senior and staff engineers to set technical direction across metric definitions, query compilation, dimensional modeling, and SQL generation for multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). Steward MetricFlow as an open-source project — set the bar for how the team triages issues, reviews external pull requests, manages releases, and engages the community on GitHub and in Slack. Collaborate with engineering leaders across the dbt platform, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. Partner with product, design, and developer-relations counterparts to translate customer and community feedback into a clear, well-sequenced roadmap. Drive engineering excellence in performance, reliability, and observability of metric query execution at scale. Foster a culture of design docs, thoughtful code review, and durable engineering — shipping fast without shipping sloppy. Skills we're looking for Experience managing software engineering teams, including hiring, coaching, and performance management, with a track record of shipping production systems. A strong engineering foundation — you've built and shipped production software yourself and can engage credibly on architecture and technical tradeoffs with a senior team. Familiarity with the technical domain: SQL fundamentals, how analytical query engines and data warehouses execute queries, and systems that involve parsing, compilation, or transformation (query planners, DSL compilers, type systems, or rule-based engines). Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility — and the judgment to hold a team to them. Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, product managers, and external community members. Experience leading in a distributed, asynchronous team environment. Nice to have Experience leading or contributing to a popular open-source project, including managing a community of external contributors. Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies. Background in data warehousing internals, query optimization, or analytical SQL dialects. Experience with CI/CD, GitHub Actions, and release engineering for Python libraries. Exposure to building developer-facing APIs, SDKs, or CLIs. Why join us Impact at scale: Your team's code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises. Open-source ownership: You'll lead the team behind a foundational open-source project — visible, reviewed, and used by the global data community. A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy. Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning and wellness stipends, and home-office support. #LI-REMOTE #LI-SA1 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: — разворачивание новых web-сервисов в инфраструктуре компании; — поддержание высокой доступности этих highload web-сервисов; — ответственность за сохранность данных; — автоматизация процессов; — взаимодействие с командами разработки/PM/GM; — поддержка документации в актуальном состоянии. Требования: — администрирование (Linux/Unix) от 3-х лет; — умение дебажить проблемы (top, iostat, iotop, strace, ltrace, tcpdump/wireshark, traceroute, mtr и другие); — понимание стека tcp/ip, пакетные фильтры; — администрирование Kubernetes; — понимание контейнеризации (docker/lxc), умение писать Dockerfile; — умение создавать шаблоны в Helm; — владение любым скриптовым языком программирования (Python/Bash или другие); — знание систем управления конфигурациями (saltstack/ansible или другие); — опыт написания CI/CD пайплайнов в Gitlab-ci/Jenkins или другие; — базовое понимание и конфигурирование Nginx; — опыт администрирования реляционных баз данных (Mysql и Postgresql); — умение настраивать бэкапы баз данных, репликацию, навыки дебага баз данных, умение искать и анализировать медленные запросы; — знания английского языка на уровне чтения и понимания технической документации; — коммуникабельность, инициативность, самостоятельность. Будет плюсом: — понимание основ методологии SRE; — понимание основ методологии DevOps; — опыт администрирования ceph и radosgw (s3). Условия: — сложные и интересные задачи, быстрый рост и амбициозные цели перед проектом; — сильная команда специалистов по разным направлениям; — отличная рабочая атмосфера и отсутствие бюрократии; — возможность реализовывать собственные идеи на проекте, участвовать в разных этапах реализации проектов, проявлять инициативу и воплощать идеи в жизнь.

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We're seeking an Engineering Manager for Canada to establish Alpaca's engineering presence in the Canadian market from the ground up. In the near term you will be very hands-on: architecting and building critical financial infrastructure yourself, hiring the first few engineers, and shaping the technical strategy for one of North America's largest and most sophisticated financial markets. You will be the strategic technical leader for Canada operations. For the near term this is not a pure engineering management role: you will work with a small founding team, spend most of your time designing and writing production code, and stay close enough to the day-to-day work to make sound architectural calls. You will act as the key liaison between engineering and executive leadership, and work directly with finance, operations, product, legal, compliance, partners, and regulators (CIRO). What you build here becomes the foundation for launching in Canada and for scaling to similar international markets. Success is measured by a working, compliant Canadian brokerage platform that partners can launch on, and an engineering organization that can run and grow it. Location: Remote within Canada. Collaboration with APAC, Americas, and EMEA teams will occasionally require meetings outside regular working hours. What You'll Walk Into You won't be starting from a blank page. You'll own a defined build: An emerging Canadian brokerage solution: an MVP for localized infrastructure and a Canadian Ledger instance, account creation and KYC, funding and foreign exchange (CAD), settlement, corporate actions, compliance and regulatory reporting, trading, and reporting. A highly regulated environment: CIRO requirements, data residency, and disaster recovery and business continuity expectations shape architecture from day one. A global core platform: you'll work with Alpaca's core teams to extend the shared framework for Canadian markets, currencies, and regulatory requirements, rather than forking it. Partners waiting to launch: the platform must scale across multiple Canadian fintech partners, not just the first one. A small founding team to build: a few engineers to start. Hiring standards, engineering culture, and practices for Canada are yours to establish, and you will write code with them. Things You Get To Do Team building & leadership Hire and lead Canada's founding engineering team: standards, culture, and technical practices. In the near term you work alongside a few engineers, in the code, rather than running several teams. Lead regional recruitment and build a diverse, high-performing team. Establish engineering best practices, code review standards, and technical decision-making frameworks suited to the Canadian market context. Foster Alpaca culture in the region while adapting practices to local market dynamics and regulatory requirements. Mentor those engineers directly and define clear ownership for the work you are building together. Strategic technical leadership Set the technical strategy for Canada operations and align it with broader business objectives alongside senior leadership. Take complex technical projects through design and production yourself, holding the bar for scalability, reliability, and industry best practices. Introduce new ideas and technologies in the systems you are building, and bring the founding team along as it grows. Contribute to company-wide policies and help establish Alpaca as a technical leader in the Canadian fintech ecosystem. Technical architecture & implementation Design and build mission-critical financial systems for Canada yourself, including the Canadian Ledger, multi-currency transaction processing, regulatory reporting, and compliance systems. Write and ship the backend services where reliability, scalability, and regulatory compliance are paramount, and review the code the team produces. Own the key Canadian brokerage capabilities: localized infrastructure and ledger, account creation and KYC, funding and FX, settlement, corporate actions, compliance and regulatory reporting, trading, and reporting. Drive decisions on cloud infrastructure, data residency, security, and observability, and establish infrastructure patterns for Canadian deployments that meet CIRO requirements. Business, partner & regulatory engagement Work with finance, operations, product, legal, and compliance to translate complex business requirements into robust technical solutions. Engage with regulators (CIRO), vendors, and partner operations teams so systems comply with Canadian market regulations. Work closely with partners on requirements, technical integration, and successful launch. Communicate status, risks, and trade-offs clearly to technical and non-technical audiences, including C-level executives. Contribute technical insight to strategic planning and market-expansion decisions. Operational excellence Own operational reliability for Canada and serve as incident commander during regional business hours, with proactive 24x7 stability. Establish monitoring, alerting, and incident response practices tailored to Canadian operations and regulatory requirements. Establish disaster recovery and business continuity practices that meet CIRO requirements. Lead troubleshooting of critical incidents and participate in on-call rotations. Manage infrastructure and service vendors, including provisioning, upgrades, and incident resolution. Global collaboration Collaborate with tech leads in APAC, Americas, and EMEA, synchronously and asynchronously. Lead cross-functional, cross-region projects and influence architecture across the organization while addressing Canada-specific requirements. Set clear ownership boundaries and async-first practices to reduce cross-time-zone dependencies. Who You Are (Must-Haves) 10+ years of professional software engineering experience, with a track record of architecting and building complex, large-scale financial systems in production, and recent hands-on coding rather than a long stretch away from the codebase. Proven experience as a hands-on engineering lead: shipping production systems while hiring and leading engineers, and acting as the liaison between engineering and executive leadership. Deep expertise in Go or a similar backend language, with exceptional system design skills and sound judgement on architectural trade-offs. Hands-on experience with financial systems: double-entry accounting, ledger structures, transaction reconciliation, and multi-currency processing. Experience designing event-driven architectures for large-scale distributed systems, including message queues, pub/sub, and asynchronous processing. Production experience with cloud infrastructure (GCP, AWS, or Azure), Kubernetes, infrastructure as code (Terraform, Ansible), GitOps, and observability and incident management. Familiarity with financial-markets regulatory compliance, ideally Canadian or North American, including data residency requirements for financial services. Understanding of brokerage operations: account management, KYC, trade settlement, corporate actions, FX, and regulatory reporting. Experience engaging regulators, partners, and senior stakeholders, and explaining complex technical concepts to non-technical audiences, including executives and board members. Ability to act as incident commander and deliver complex projects on tight timelines without compromising quality or compliance. Experience in a startup or fast-growing technology company, preferably in fintech or financial services. Who You Might Be (Nice-to-Haves) Experience in the Canadian financial services sector or a CIRO-regulated environment. Experience building teams in Canada or other North American markets. Familiarity with the Canadian fintech ecosystem, market dynamics, and competitive landscape. Experience with partner integrations and B2B2C financial services platforms. Experience launching new markets or products in regulated financial environments. Experience managing vendors, organizational budgeting, and resource allocation. Experience working with global teams across multiple time zones. Passion for financial markets, algorithmic trading, or brokerage operations. Cloud or infrastructure certifications (GCP, AWS, Azure, Kubernetes, Terraform). How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: New York, NY or Remote About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! About You : A Senior Machine Learning Engineer who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact, and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems, not incremental or marginal improvements, and you're supercharged by having interesting, unsolved problems continually present themselves. In this Role, You Will: Build ML models for production use Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies Suggest and implement new features to improve model performance and business logic Write and review production-quality PRs daily Translate client business problems into ML problems Build scalable machine learning models for claim time series forecasting and NLP text understanding Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets Requirements : 2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments. You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions. You have excellent written and verbal communication skills and can effectively correspond between technical and non-technical audiences. You’re a team player who is solutions-oriented. Experience leveraging Claude Code and related tools is a strong plus Even Better if You Have the following: Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes Owned and deployed, and maintained model-serving pipelines in production Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns Experience with advanced statistical modeling, especially probabilistic programming Ambitious, collaborative, and empathetic values A work style that is open to giving and receiving critical feedback and collaborating effectively across teams Work-life, Culture & Perks: Compensation: The base salary range is $190-225K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: London, UK Workplace: Hybrid ABOUT BEAMERY With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world’s most forward-thinking companies. We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people. So, what are you waiting for? Join us and help us transform the future of work once and for all. What’s ahead — and why it’s an exciting time to join the team:  Building agentic AI with advanced orchestration (multi-agent workflows, tool use, evaluation loops) that turns complex talent data into decisions. - Training and fine-tuning our own models on unique data about jobs, skills and tasks, and benchmarking them against the best in our market. - Joining an award-winning AI team (ACM RecSys Challenge 2026) that turns new ideas into innovative solutions with scientific rigour. - Sharing our work and learning from industry peers through challenges, conferences and publications. But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work. ABOUT THE OPPORTUNITY Our data platform powers Beamery’s reporting and underpins our AI strategy. We’re hiring a Staff Data Engineer to set its technical direction. This is our most senior individual contributor role in data engineering. You’ll own the platform’s long-term architecture, make the calls that are expensive to reverse, and lead the work that follows. You’ll also partner with EPD leadership (Engineering, Product, and Design) on work that crosses team boundaries, and on keeping the platform aligned with company strategy. The platform exists so everyone at Beamery can make faster decisions with data they trust. The role suits someone energised by ambiguity who measures impact by what the organisation can do rather than what they personally shipped. WHAT WILL YOU BE DOING AT BEAMERY? - Own the technical strategy for the data platform. Define the multi-quarter architectural vision, build the case for investment with EPD leadership, and sequence delivery incrementally rather than as a big-bang migration. You take on the work with no established playbook and turn it into designs the team can execute. Expect challenges around multi-tenant consistency, correctness at scale, performance ceilings, and data modelling for AI and agentic workloads. - Architect the analytics, semantic, and AI data layers. Define how core business metrics, feature usage signals, and skills and task intelligence data are modelled, governed, and exposed as trustworthy products to BI, self-service, and AI consumers. - Set standards that scale beyond your team. Establish the architectural patterns, modelling conventions, and data contracts other teams adopt, favouring guardrails over review gates. Grow senior engineers into stronger technical decision-makers through design review, pairing, and mentorship. - Own reliability and trust at the platform level. Set our approach to observability, data quality, SLAs, and incident response; lead RCAs on the most serious failures and drive the systemic fixes that prevent recurrence. WHAT WE’RE LOOKING FOR You’re a staff-level data engineer who has built and run data platforms for internal and external consumers. You’ve built architectures that held up as they grew with a focus on data warehousing, data lakes, and both real-time and batch processing. Teams bring you their hardest data problems. You’ve made the hard tradeoffs in distributed, multi-tenant systems and lived with the consequences. You’re just as comfortable in production: tracing how one upstream failure ripples through to customers, and making sound calls under pressure. Your impact isn’t measured in code alone. You’ve led initiatives across team boundaries without formal authority, working directly with principal engineers, platform teams, and data scientists, and treating their constraints as part of your design problem. You’ve made architectural decisions others built on for years, and driven modernisation while balancing new technology against real delivery risk. You work with minimal direction, explain tradeoffs and risks credibly to executive audiences, and change your mind as readily as you defend a position. PREVIOUS PROFESSIONAL EXPERIENCE: - Data transformations using dbt, including patterns for large, complex projects - Data storage (SQL / NoSQL): schema design, modelling at scale, and multi-tenant isolation - Back-end engineering: Python (nice to have: Typescript/Node.JS) - Pipelines: streaming, CDC, correctness, replayability, and evolution over time - Data quality and observability: validation, testing, data contracts, monitoring, alerting, and incident response - Infrastructure as code and containerisation (Terraform, Kubernetes) OUR DATA STACK Our stack will change as we grow, and you’ll be shaping those changes. The ability to learn new tools matters more than experience with any specific one. - DBT for data modelling and transformation - BigQuery data warehouse - Kafka for data streaming between systems - PostgreSQL & MongoDB for databases - Typescript/Node.JS on the backend - Kubernetes - Python - Segment for customer-centric event collection Beamery is open to engage with direct employment or contractors for this position in order to find the right fit candidate to join our team. Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com Visit our Diversity, Equality and Inclusion page https://careers.beamery.com/life-at-beamery/diversity-equality-inclusion/to learn more about progress and commitments.

Location: Tbilisi, Georgia; Limassol, Cyprus Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team The team owns Pine Script — TradingView’s own programming language that millions of traders use to build custom indicators and trading strategies — together with the engine that runs them. It develops the Pine compiler and runtime, built-in indicators, advanced charting tools such as Volume Profile, Footprint, and Renko/Kagi, and backend calculation of special indices like Crypto Market Cap. Alerts, the Screener, and community script publishing all rely on this engine. The work sits at the intersection of language design and high-load backend, where every script runs under strict performance limits on our own hardware. Responsibilities Lead and grow a team of Java backend engineers through 1:1s, feedback, performance reviews, hiring, and career development Own delivery for the team — planning, prioritization, and predictable execution of the roadmap together with the tech lead Move the team to sprint-based planning and make progress, risks, and results visible to stakeholders Define clear ownership boundaries and drive a structured approach to technical debt Strengthen testing practices in the team and shift testing left Break down large initiatives — new Pine Script capabilities, new indicator types, backend index calculations — into achievable milestones Coordinate with adjacent teams such as alerts, screener, and charts to unblock dependencies and align on shared work Keep reliability, performance, and resource efficiency in focus and make the case for investing in them What makes you the perfect fit 8+ years of hands-on backend development in Java or another JVM language and a deep understanding of the platform Experience managing software engineering teams, including hiring and growing engineers Ability to read and review code and discuss technical trade-offs with senior engineers and architects Experience with high-load backend systems with strict performance requirements Experience building predictable delivery processes and strong testing practices Mature communication — you can align a team around a decision and hold your position with stakeholders Will be a plus Experience with domain-specific languages, compilers, or interpreters Experience with profiling and CPU and memory optimization Hands-on experience with Go or JavaScript Experience in finance, trading, or charting products Familiarity with TradingView and Pine Script What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 700+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Remote (Ukraine) About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have recently achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team consists of 250 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. Our mission: Become a stepping stone on our customers’ journeys of self-improvement. Our values: - Deliver what matters - Respect and support others - Initiate and own - Voiceopenly - Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com. About project FitMe is a fitness app created for people who want to stay active without long, repetitive workouts. It offers short, easy-to-follow routines that can be done at home with no equipment. FitMe is perfect for busy people who want to maintain their health, boost energy levels, and feel good every day — without going to the gym or spending hours on exercise. What you will do: - Stakeholder support: ad-hoc validation of figures, investigation of discrepancies between dashboards, ensuring availability of the BI platform. - Development and support of ETL/ELT pipelines for analytical reports (cohort revenue, LTV, retention, KPI by creatives, post-purchase analytics). - Support for attribution models (Web↔Mobile mapping, multi-locale cost-cohort resolve, last-click vs raw events). - Integrations with external sources: Meta Marketing API, AppsFlyer, AppMetrica, Stripe, Tableau Server (TSC), Birch. - Data quality assurance: schema/freshness/volume checks, broken-snapshot detection, anti-bot-traffic filtering. - Performance optimization of queries and procedures in Redshift. - Collaboration with BI Team, Product / UA / Billing analysts. Key qualifications: - 1-2 years of commercial experience in data engineering / analytics engineering / BI development. - Experience with data warehouse, data lake and data lakehouse concepts. - Proven experience in designing, implementing and supporting ETL/ELT pipelines. - Experience with AWS, Amazon Redshift, Apache Airflow. - Advanced SQL, hands-on experience in designing production-level Python code. - Willingness to deal with business logic (subscription, monetization, attribution) — with team support. Would be a plus: - Experience with Infrastructure as Code (Terraform). - Experience with dbt, Apache Spark, Apache Iceberg - Experience with UA-attribution stack (AppsFlyer, AppMetrica, Adjust, SKAN, GA4) and UA cost APIs (Meta, Google Ads, TikTok, AppLovin). Employee Benefits: - Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs. - Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace. - Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday. - Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year. - 100% Sick Leave Compensation. - Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs. - Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools. - Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses. - Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart. - Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.

Location: Remote - Global Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Site Reliability Engineer at Alpaca, you'll help keep our brokerage platform reliable, observable, and operable as we grow - working across our cloud infrastructure, Kubernetes platform, observability stack, messaging layer, and data layer. We're especially interested in candidates with strong PostgreSQL fundamentals who'd like to grow into deeper ownership of our database reliability posture: PostgreSQL sits on the trading-critical path, and we want this person to spend a meaningful share of their time leveling it up while still being a well-rounded SRE the rest of the week. Things You Get To Do Operate production day-to-day - oncall, incident response, postmortems, and the follow-ups that actually close the loop. Own reliability practice - define and refine SLIs/SLOs and error budgets, and help product teams live within them. Strengthen our observability across metrics, logs, traces, and alerting. Ship infrastructure through code in a GitOps workflow - cloud resources and Kubernetes workloads alike. Look after PostgreSQL : performance tuning, schema and migration review, online migrations on large tables, HA/DR, and CDC pipelines. Mentor engineers on reliability and database fundamentals through code review, design review, and pairing. Who You Are (must-haves) 4+ years in SRE, DevOps, Platform/Infrastructure, or backend engineering with significant production operations ownership. Hands-on experience operating production services on Kubernetes , and shipping infrastructure as code in a GitOps workflow. Solid working knowledge of PostgreSQL in production — query plans, pg_stat_*, indexing and schema trade-offs, and what a safe online migration looks like on a non-trivial table. Cloud networking fundamentals (VPCs, routing, L4/L7 load balancing, DNS, TLS) and comfort debugging cross-service connectivity. Comfortable with a modern observability stack and proficient with Linux at the operator level. Practiced in incident response - calm under pressure, structured debugging, postmortems that drive change. At least working proficiency in Go or Python , plus strong written and verbal communication. Genuine interest in databases and in growing your PostgreSQL/DBA expertise. Who You Might Be (Nice-to-Haves): Deeper PostgreSQL experience: large clusters at OLTP load, online migrations on big tables, HA/DR ownership, connection pooling at scale, or change-data-capture pipelines. Experience with typed SQL access layers in Go (e.g. pgx, gorm, sqlc). Production experience with messaging systems at scale (e.g. RabbitMQ, Kafka, Redpanda). Security & compliance experience in a regulated environment (SOC 2, secrets management, audit logging). Familiarity with trading, brokerage, or other regulated fintech domains. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: 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 Anthropic runs some of the largest AI training and inference workloads in the world, across multiple hardware platforms. We work from the chip level up with our silicon partners, and we are now deepening that investment by building a custom silicon team. You will be one of a small number of people covering a large surface. We are opening searches across the key domains below, and we are interested in candidates whose center of gravity sits in any of them: Front-end design Pre-silicon verification Physical design Design for test Analog and mixed-signal Technology and foundry CAD and design infrastructure Packaging, signal integrity, and power integrity This is a role for someone who has shipped silicon, has a realistic relationship with schedules, and is comfortable making consequential calls without a large organization behind them. Key responsibilities Take part in end to end activities for the program: strategy, specification, execution and the technical bar. Write the specifications and interface definitions that others design against and keep them coherent as the architecture converges Make and own directional calls: technology and IP selection, where we build versus buy versus license, and where we take design authority versus rely on partners Build and share AI-assisted approaches to the code-like parts of your domain, and help the team learn what Claude can genuinely accelerate Contribute to the architecture and micro-architecture discussion from your domain's perspective, including the tradeoffs your area imposes on the rest of the chip Partner with Anthropic's inference, performance, kernels, and infrastructure teams on hardware-software co-design, and with our hardware systems team on bring-up and integration Support first-silicon bring-up and debug when it arrives, regardless of which domain you came in through Minimum qualifications Deep, hands-on expertise in at least one silicon domain: front-end design, pre-silicon verification, physical design, design for test, analog and mixed-signal, technology and foundry, design infrastructure, or packaging and signal/power integrity Direct personal contribution to silicon that taped out and shipped, with ownership you can speak to in detail Working fluency in the domains adjacent to your own, sufficient to reason about chip-level tradeoffs outside your specialty Experience working with external partners — ASIC houses, IP vendors, foundries, or test partners — including reviewing their work and holding a technical bar Track record of owning directional technical decisions and their consequences, not only making recommendations Practical experience using AI coding tools in your own work, and clear ideas about where they help and where they do not Clear written and verbal communication, and experience driving alignment across teams and organizations Comfort operating with high autonomy and little scaffolding on a highly dynamic program Preferred qualifications Experience on machine learning accelerators, high-performance compute, or other large, high-bandwidth designs Experience on a founding or early-stage silicon team, including standing up flows, methodology, or tooling from nothing Experience with both partner-executed and fully in-house programs, and a view on the tradeoffs between them Familiarity with the chip-package-system interface and the tradeoffs that cross it Experience with hardware-software co-design and working directly with compiler, kernel, or runtime teams Experience building or extending AI-assisted design, verification, or physical design flows Depth in memory subsystems, on-die interconnect, numerics, or low-power design Representative projects Writing the specification for a compute datapath and defending its numeric format strategy against the alternatives Standing up front-end flows and release management from scratch, then handing releases to an ASIC partner on a fixed cadence Running fast in-house place-and-route loops on a critical block and feeding PPA reality back into the architecture Selecting and qualifying PHY IP, then validating it on first silicon Building a formal verification methodology for a new block and deciding where formal earns its keep versus simulation Defining test strategy and the automated-test-equipment handoff interface with our partner Prototyping a Claude-assisted workflow for RTL review, coverage triage, or specification consistency checking, and reporting honestly on what it did and did not do Debugging a first-silicon failure that crosses your domain and someone else's 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 — $485,000 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: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Why PlayStation Our team is innovating and crafting the next generation of gaming experiences on PlayStation! You will work alongside partners in engineering, product, design, and research to build tools and technologies that keep our players safe.  PlayStation Network currently has more than 100 million monthly active users. This is a phenomenal opportunity to join our high leverage team working on building outstanding new experiences! You will lead a passionate engineering team responsible for developing Microsoft Windows® PC based software for the PlayStation® and other applications/devices. You will be responsible for providing strong technical leadership in highly secure and performant PC-based software design and development. Role Responsibilities Lead, coach, mentor, grow, and empower your team to achieve their goals Strong understanding of software engineering methodologies Collaborate with colleagues to develop, implement, and uphold SDK and application security features for PC applications Create technical specifications as a Product Owner Guide the team technically to build high quality products on PC Participate in code reviews and documentation Lead day-to-day activities of the team using Agile/Scrum methodologies Collaborate with geographical diverse teams to coordinate development activities Contribute to engineering-wide initiatives as a member of PlayStation's engineering management team Qualifications 2+ years of people management experience A bachelor’s degree in computer science, or equivalent experience Experience with requirements gathering and analysis, design and development of scalable code with unit tests across multiple technology stacks Experience in building high-performance SDKs or Frameworks Knowledge of client-side Operating System security fundamentals and features Experience with securing consumer client-side applications Extensive experience with C/C++ Experience or knowledge of cryptographic algorithms and ciphers Experience recruiting and building great teams Ability to work with a high level of autonomy and responsibility Excellent written and verbal communication skills Passion for supporting team members’ career growth Nice-to-Have Skills Similar experiences with security engineering on non-PC platforms Experience with low-level engineering tools (e.g. disassemblers/decompiling) Experience with game development or game engine development Experience with securing PC games Experience or knowledge of anti-cheat and/or anti-tamper concepts and products Experience with codesigning and certificate verification workflows Experience or knowledge with data integrity checking Experience or knowledge of binary obfuscation Experience securing IPC traffic Experience using tools such as Ghidra, IDA or x64Dbg At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $201,400 — $302,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Yanbu, Saudi Arabia Eram Talent, a leading talent acquisition company in the Oil & Energy sector, We are seeking an experienced Process Engineer (Refinery) to be stationed at YASREF refinery. The ideal candidate will provide on-site technical support, troubleshooting, and optimization for refinery process units, ensuring safe, efficient, and reliable operations. Key Responsibilities Provide expert-level process engineering support for refinery operations. Monitor plant performance and recommend improvements to optimize efficiency, reliability, and safety. Troubleshoot operational issues and provide immediate technical solutions. Support plant modifications, debottlenecking, and process optimization initiatives. Review and validate process design, simulation, and operational data. Coordinate with operations, maintenance, and technical teams to resolve process-related challenges. Ensure compliance with safety standards, environmental regulations, and company procedures. Participate in shutdowns, startups, and commissioning activities when required. Requirements Minimum Requirements Bachelor’s Degree in Chemical Engineering or related field. Minimum 10+ years of experience in refinery process engineering roles. Strong experience in refinery operations and technical support. Technical Expertise (Mandatory) Must have experience in at least one of the following refinery process units: Two Stage Hydrocracking LPG Olefin Saturation Mercaptan Removal Delayed Coking OR strong experience in the following areas: Refinery Process Simulation Relief Load & Flare System Analysis Process Hydraulics Calculations Fired Heaters Design & Operation Refinery Real-Time Optimization (RTO) Required Skills Strong analytical and problem-solving abilities. Expertise in process simulation tools (e.g., Aspen HYSYS, UniSim). In-depth understanding of refinery operations and safety standards. Excellent communication and coordination skills. Ability to work in a fast-paced operational environment.

Location: Europe; United States Workplace: Remote ABOUT CANTINA: Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text. Create yourself, imagine someone new, or choose from thousands of characters to share infinitely scalable, personalized content and seamless group chat. If you’re excited about how AI can shape creativity and social interaction, come help us build what’s next.   ABOUT THE ROLE: We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs through production inference. You’ll drive the model ↔ data ↔ eval flywheel for VC and adjacent tasks (controllable TTS, voice design and more), partnering closely with research, data, and infra to ship fast, reliable, and cost-aware models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. You will thrive in this role if you: - See research and engineering as two sides of the same coin and enjoy owning work end-to-end. - Are results-oriented, flexible, and willing to pick up whatever moves the needle. - Like collaborating closely with infra, data, and product to ship measurable improvements. - Enjoy designing experiments, listening tests, and metrics that correlate with user-perceived quality. - Eager to learn every-day, find and solve unique large-scale problems. WHAT YOU’LL DO: - Model Building: Architect, implement, pre-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-scale speech models. - Experimental Design: Design, run, and analyze scientific experiments to advance our understanding of the models. - Tool Development: Develop and improve dev tooling to enhance team productivity. - Full-Stack Contribution: Contribute to the entire stack, from low-level optimizations to high-level model design. - Data Ownership: Define data requirements and collaborate on acquisition, curation, augmentation, labeling quality, and synthetic data strategies. - Rigorous Evaluation: Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-based metrics, robustness & bias checks, and red-team studies. - Pipeline Delivery: Harden the training → evaluation → inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback. - Safety & Responsibility: Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology.   WHAT YOU’LL BRING: - Exceptional research/development experience with large-scale audio models (>8B parameters, >500k hours of data). - Deep hands-on experience with diffusion and/or flow-matching transformers, including practical knowledge of samplers, schedules, conditioning mechanisms, and distillation. - Deep hands-on experience training audio VAEs, neural audio codecs, and vocoders latent/tokenizer design, reconstruction and perceptual objectives, adversarial training. - Strong experience with multi-node, multi-GPU distributed training (FSDP/DeepSpeed or equivalent). - Strong software engineering skills with a proven track record of building complex systems. - Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production-quality code. - Shipped large-scale speech/audio or multimodal generative models to production. - Background in working with large-scale ML data, and the ability to iterate on data and triangulate quality using both subjective and objective signals. - Experience with voice cloning, speech control/steerability, or expressive speech generation. - Notable publications and/or open-source contributions in speech/audio/ML. COMPENSATION: When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   BENEFITS FOR U.S.-BASED ROLES: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

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

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

Location: Latvia Workplace: Remote Location: Remote (Europe Time Zone) Start date: ASAP Language: English Team: AI ABOUT THE ROLE Our client is a European technology company operating a cloud and infrastructure platform, and we are looking for an AI Engineering Manager to lead the small, high-leverage team behind their AI product. The Engineering Manager is to lead a team of AI engineers and researchers building the systems that power an AI-enabled products and the model inference offering. You’ll manage the people and the roadmap: hiring and developing a high-caliber team, setting technical direction alongside senior ICs, and driving delivery on projects that range from applied ML features inside the products to the infrastructure that serves models in production at scale. This is a hybrid people/technical leadership role. You should be comfortable running a team day-to-day (1:1s, planning, performance, hiring) while also being comfortable enough technically to review designs, unblock research and engineering tradeoffs, and represent the team to other engineering and product leaders.   WHAT YOU'LL DO - Manage, coach, and grow a team of AI/ML engineers and researchers, including hiring, career development, and performance management. - Own delivery for AI-enabling projects across the product portfolio, translating ambiguous product and research goals into scoped, sequenced engineering plans. - Co-own the roadmap and operations of the inference offering, including reliability, latency, cost, and scaling of model serving infrastructure. - Partner with research scientists to move promising models and techniques from experimentation into production, balancing research rigor with shipping velocity. - Set and maintain engineering standards for the team: code quality, experimentation practices, evaluation methodology, on-call, and incident response for production inference systems. - Work closely with Product, Infrastructure, and Data teams to prioritize work and remove cross-team blockers. - Report on team progress, risks, and capacity to engineering leadership, and represent the team’s work in planning and roadmap discussions. - Stay current on the AI/ML and inference landscape (models, serving frameworks, hardware) and bring relevant developments back to the team’s technical strategy. WHAT WE'RE LOOKING FOR - 7+ years of experience in a technical leadership or engineering management role (AI/ML teams preferred), plus a strong prior track record as a hands-on engineer or researcher. - Proven experience building and operating AI/ML platform or inference infrastructure in production (model serving, GPU workloads, latency and cost optimization) - Working knowledge of the AI/ML lifecycle: model training or fine-tuning, evaluation, and production deployment. - Experience with, or strong technical fluency in, model inference and serving infrastructure (e.g., GPU scheduling, batching, quantization, latency/throughput tradeoffs, serving frameworks such as vLLM, Triton, or similar). - Demonstrated ability to manage both researchers and engineers, who often have different working styles, timelines, and definitions of “done.” - Strong judgment on scoping and sequencing ambiguous, research-adjacent projects into shippable increments. - Excellent communication skills; able to translate technical tradeoffs for both engineers and non-technical stakeholders. - Experience owning production systems, including reliability and incident response, is a plus. WHY THIS ROLE MATTERS FOR YOU - Own a product, not a component: Lead the team behind the company's AI product and shape the capabilities the wider business builds on - High leverage, small team: With three engineers, your technical and strategic decisions translate directly into what ships - Grow as a leader: Manage, mentor, and inspire a talented team while influencing strategic technical decisions - Stay hands-on: Balance leadership with coding in a modern, high-scale AI platform environment - Work with cutting-edge technology: Deepen your expertise in LLMs, inference infrastructure, GPU compute, and distributed systems at scale - Drive platform evolution: Directly impact architecture, reliability, and AI quality across the organization - Collaborate across teams: Work closely with Product, Infrastructure, Security, and Backend teams, expanding your cross-functional expertise - Remote-first flexibility: Enjoy a fully remote role while aligning with the European time zone Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.