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Location: San Francisco; New York Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com. THE ROLE Build the systems that turn blockchain activity into data developers can use. Alchemy’s Data Services work includes token, portfolio, and transfer APIs, with streaming in the updated roadmap. You will own backend projects from ingestion through serving, making data correct, fresh, and fast to query. You will work with Product and customer-facing teams to understand what developers need, then ship improvements and measure their effect on reliability, performance, and cost. WHAT YOU WILL DO - Build and operate blockchain ingestion, indexing, storage, and API-serving systems. - Handle reorganizations, retries, duplicate events, and historical backfills without silently losing or corrupting data. - Improve query performance and data freshness. Make those properties observable to the team and understandable to customers. - Extend API capabilities and chain coverage, with tests for differences in chain behavior and data semantics. - Develop streaming and event-delivery capabilities with explicit guarantees for ordering, replay, and failure recovery. - Reduce the cost of storing, processing, and serving data through measured changes to architecture and query execution. - Participate in production support and incident response for the systems you own. Maintain monitoring, runbooks, safe rollouts, and fixes that prevent recurrence. WHAT WE ARE LOOKING FOR - A track record of independently designing, shipping, and operating production backend or distributed data systems. - Strong programming skills in a production backend language, plus experience with databases, indexing, and query performance. - Experience reasoning about consistency, partitioning, asynchronous processing, and failure recovery. - Evidence that you can diagnose a production problem and improve the system beyond the immediate fix. - Sound API design judgment, including compatibility, pagination, error handling, and data contracts. - Clear communication and the ability to turn an ambiguous customer problem into a scoped engineering project. Blockchain experience is helpful, but not required. You should be interested in learning how chain behavior affects data correctness. HELPFUL EXPERIENCE - ClickHouse or other analytical databases; Kafka or similar streaming systems. - Blockchain indexers, EVM logs and traces, finality, or non-EVM data models. - Developer-facing data APIs, real-time delivery, or large historical datasets. - Storage migrations and performance or cost optimization under production traffic. WHAT SUCCESS LOOKS LIKE Within three months: - You have shipped a customer-facing improvement and can show its effect on data quality, freshness, latency, or cost. - You own a production component, have tested its recovery behavior, and have proposed the next improvement using operational evidence and developer feedback. Benefits & Perks 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: New York; San Francisco Workplace: Hybrid ABOUT ALCHEMY Alchemy is the Web3 infrastructure and developer platform that powers millions of users and the world’s most innovative blockchain applications. From enabling $1+ trillion in financial transactions worldwide to scaling L2s and enabling DeFi, Alchemy provides the infrastructure and tools developers need to build reliable, scalable, and accessible experiences. Trusted by companies like JPMorgan, Stripe, Visa, Franklin Templeton, Nike, and backed by a16z, Coatue, Silver Lake, Lightspeed, and Stanford University, Alchemy is building the foundational layer for a decentralized and AI-enabled Web3 ecosystem. For more information, visit alchemy.com http://alchemy.com. THE ROLE Build and run the internal data platform that helps Alchemy understand product usage, revenue, and the cost of serving customers. The existing Data Engineer intake centers on ingestion, Snowflake operations, workflow orchestration, data quality, and collaboration with analytics partners. You will own ingestion, schema changes, and checks that show whether shared datasets are current and correct. You will work with analytics engineers and data scientists to define those datasets for reporting, analysis, and AI-assisted tools. WHAT YOU WILL DO - Build batch and streaming pipelines that connect operational databases, product events, billing systems, and external sources to the internal data platform. - Make ingestion recoverable through change-data capture, schema-change handling, idempotent processing, and safe backfills. - Operate and improve Snowflake, including access controls, workload management, query performance, and compute and storage costs. - Improve orchestration and deployment workflows so engineers can test, ship, and debug pipelines safely. - Build data-quality checks that detect stale, missing, duplicated, or inconsistent records before they reach downstream consumers. - Work with analytics partners on shared data models, source definitions, and documentation. Make dataset ownership and upstream dependencies clear. - Reduce recurring manual work and build reusable tools for self-service data access. - Participate in production support and incident response for pipelines and the data platform. Restore data flow, reconcile affected datasets, and fix the causes of recurring failures. WHAT WE ARE LOOKING FOR - Experience independently building and operating production data pipelines and the infrastructure around them. - Strong SQL and Python skills, including testing, debugging, and maintainable software design. - Experience with Snowflake or a comparable warehouse, including performance tuning and access management. - Experience with workflow orchestration and transformation tools such as Airflow and dbt, or equivalent systems. - Understanding of data modeling, incremental processing, schema evolution, and data-quality testing. - The ability to trace a data discrepancy from a downstream report back to its source, explain the cause, and fix it. - Good judgment about stakeholder needs: turn recurring requests into reusable datasets or tooling, and make trade-offs clear. Blockchain experience is not required. HELPFUL EXPERIENCE - Kafka, database replication, or change-data-capture systems. - Apache Iceberg, Spark, Trino, or other lakehouse and query technologies. - Infrastructure as code, data observability, lineage, and disaster recovery. - Usage metering, billing and revenue data, or semantic layers for self-service analytics. WHAT SUCCESS LOOKS LIKE Within three months: - You own a production pipeline and have shipped an improvement to its freshness, reliability, or operating cost. - Downstream users can see whether its data is current, recovery procedures have been tested, and a recurring manual request has become a reusable dataset or tool. BENEFITS & PERKS 🏥 Private Health Insurance 💪 Gym Reimbursement 🚅 Commuter Benefits 🌴 Flexible Time Off 🥙 In-Office Group Meals 🧠 Learning & Development Stipend 🌎 Company Sponsored Conferences & Events 🎧 Books & Audiobook subscription with Bookster https://landing.bookster.ro/

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Staff Product Manager, Test & Code Coverage, you'll build product capabilities from initial discovery through launch and adoption. You'll help engineering teams understand why pipelines fail, improve test automation, and use code coverage to make better decisions about software quality and risk. You'll turn a technically complex problem space into a focused strategy, roadmap, and developer experience. Working closely with Engineering and Design, you'll explore how agents can diagnose failures, recommend next steps, and help teams recover safely. The goal isn't to add artificial intelligence (AI) for its own sake. It's to reduce manual work and help developers get back to a safe, shippable state without losing trust or control. At GitLab, our mission is simple: to enable everyone to contribute to and co-create the software that powers our world. You'll contribute to that mission by making testing and coverage insights more useful across the software development lifecycle. What you'll do Define and communicate the Test & Code Coverage product vision, strategy, and outcome-focused roadmap, from discovery through a minimum viable product, beta, launch, and continued iteration. Identify customer problems across pipeline failure diagnosis, test automation, test optimization, code coverage, and recovery. Build the case for investment, prioritize foundational and customer-facing work, and reshape or stop initiatives that aren't creating value. Work with Engineering to understand pipeline failures caused by flaky tests, testing gaps, environment issues, configuration problems, and coverage blind spots. Connect code changes, tests, pipeline behavior, historical patterns, and risk to help developers find a diagnosis and an actionable next step. Work directly with customers to understand how they author, maintain, select, prioritize, and debug tests. Connect test selection, test impact analysis, code coverage, and pipeline intelligence to reduce flaky tests, shorten feedback loops, and focus testing effort where it lowers the most risk. Partner with Engineering and Design to prototype agent-driven workflows for failure diagnosis, test authoring and repair, optimization, coverage analysis, and recovery. Make actions reviewable through evidence, confidence, human approval, and safe paths to propose code changes and merge requests. Use AI tools in your own product work to investigate problems, explore code and data, prototype concepts, and accelerate learning. Define and measure outcomes such as time to diagnose, time to recover, failure recurrence, test signal quality, and developer confidence. Validate problems and solutions with customers and learn from production usage. Partner across Product, Engineering, Design, Quality, Developer Experience, Customer Success, Support, and Product Marketing to connect testing insights with code review, pipelines, and release decisions. Turn customer evidence into clear narratives that support adoption and future investment. Lead through clear written communication, prioritization, and product judgment. Influence senior stakeholders, establish repeatable discovery and measurement practices, and mentor other product managers. What you'll bring Experience owning complex technical products, platforms, or developer workflows at Staff, Senior Staff, Principal, or equivalent scope, including building a new product or capability from initial validation through launch and adoption. Strong product fundamentals in customer discovery, problem framing, prioritization, roadmap development, outcome measurement, and iterative delivery. Technical fluency in one or more relevant areas, such as software testing, test automation, code coverage, continuous integration and continuous delivery (CI/CD), developer tools, DevOps, developer experience, quality engineering, or software delivery. An understanding of how engineering teams build, test, review, and ship software, and the ability to work with engineers on test architecture, pipeline behavior, code changes, data, integrations, reliability, and scale. Experience diagnosing technical problems and turning complex, noisy signals into clear user experiences and actionable workflows. Experience exploring AI or agent-driven solutions for developer workflows, with the judgment to distinguish useful automation from unsafe or low-confidence actions. Experience using customer conversations to understand problems and inform product decisions, communicating clearly in writing and conversation, and influencing across functions with shared ownership. You can work directly with developers, quality engineers, platform teams, engineering leaders, and executives, and move between strategy and implementation detail. About the team Our work brings together Product, Engineering, and Design, with input from Quality, Developer Experience, Customer Success, Support, and Product Marketing. We work directly with developers, quality engineers, and engineering leaders to understand their testing practices, validate ideas, and learn from how they use the product. We give Engineering and Design clear customer context and room to shape solutions. Our decisions draw on customer evidence and measurable outcomes, and we revisit approaches that aren't creating value. You'll contribute to how we discover problems, prioritize work, and measure progress, as well as sharing product management practices with other product managers. As part of GitLab's all-remote organization, we collaborate asynchronously across regions. Our work emphasizes transparency, written communication, and clear decision-making. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Europe; United States Workplace: Remote ABOUT CANTINA Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! ABOUT THE ROLE We’re working on real-time video generation for interactive characters, spanning realistic humans, stylized characters, and non-human identities. We want these characters to feel present: to speak, react, and express themselves through their face, gestures, and body language. This brings together a set of closely connected research problems. A character needs a consistent appearance, expressive and coherent motion, and a natural relationship between speech and movement. The model also needs to respond quickly and keep generating reliably as an interaction unfolds. Quality, controllability, and efficiency all matter. You’ll work across streaming generation, fine-tuning, distillation, inference optimization, and data. Some problems will call for a new training approach; others will come down to better examples, a more useful evaluation, or understanding a bottleneck in the implementation. Part of the job is figuring out which intervention is worth making. You’ll have substantial freedom to propose directions, investigate unfamiliar ideas, and shape what we work on next. We’re looking for someone who enjoys that freedom and can turn it into a steady sequence of useful experiments. WHAT YOU’LL WORK ON - Real-time and streaming generation. Develop models that support responsive interaction while maintaining visual quality and consistency over time. Investigate latency, continuity, and how model behavior changes during longer generation. - Character expression and motion. Explore how appearance, facial expression, gesture, and body movement come together into a coherent character. Improve the relationship between speech and motion across different identities and visual styles. - Fine-tuning and post-training. Adapt video models to new data, behaviors, and capabilities. Investigate training objectives and conditioning methods, and follow promising ideas through implementation and evaluation. - Distillation and inference optimization. Make generation faster and more efficient. Work across model-level approaches and runtime improvements, measuring their effects on quality, latency, and memory. - Data development. Spend meaningful time with the actual training examples. Identify missing coverage and recurring failure modes, improve curation and sampling, and develop data that helps models learn the behavior we want. - Evaluation. Build comparisons that make progress visible and failures understandable. Combine quantitative measurements with careful inspection of generated video and the experience of interacting with the model. - Research and collaboration. Read relevant work, reproduce and adapt useful ideas, and share early experiments, demos, and findings. Help the team decide what deserves more time and compute. WHAT YOU’LL BRING - Experience training or fine-tuning video or related generative models. - Ability to learn unfamiliar methods quickly and turn ideas into useful experiments. - Good experimental judgment, ownership, and clear communication. You’ll have freedom to explore new approaches. We expect fast iteration and early sharing of results. 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: New York, New York; San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT US: Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. ABOUT THE ROLE: Notion is looking for a Sales Development Manager in New York, NY or San Francisco, CA that will recruit, develop, & lead a highly driven and hardworking team of Sales Development Representatives (Inbound) & Business Development Representatives (Outbound). We are looking for someone who is passionate about building a winning team and coaching & elevating the craft of new sellers at Notion. The Sales Development team is the first interaction with prospective Notion customers and is key to the success of our Sales organization! At Notion the Sales Development team is responsible for driving new business opportunities and expanding market share through qualified pipeline, as well as driving the business forward by developing the next generation of top closers. As the Sales Development Lead you will be responsible for delivering both revenue and talent for our business. You will focus on the Recruitment, Enablement and Execution of your team to assure the continued successful trajectory of this strategically important department. Our ideal candidate for this role has proven experience in managing, building and encouraging a team to achieve daily, weekly and monthly/quarterly targets in addition to delivering feedback to marketing and sales operations about lead quality and process improvements. WHAT YOU'LL ACHIEVE: 1. As an AMER Sales Development Manager, you will work directly with Sales Managers, cross functionally with Marketing Leadership, & Revenue Operations Leadership in creating and developing Notion’s Sales Development strategy, process and playbooks 2. Partnering with regional leaders across Sales Strategy, Marketing, and Sales teams to plan territory mapping and pipeline development programs 3. Build winning teams through Attracting, Hiring, and Developing the world’s best xDRs 4. Enable your team to relentlessly prospect, identify and qualify sales pipeline through your coaching and mentoring on topics including courageous qualification, prospecting techniques, phone skills, and strategic engagement with Account Executives 5. Collaborate with Marketing and Sales teams to ensure we capitalize on the massive market opportunity ahead of us 6. Help build the foundations of Sales at Notion: As an early member of our sales org, you'll be instrumental in helping define our sales assisted motions. 7. Join a fantastic team at a magical time: We've hit profitability and over 100 million users with a small team, which gives us a huge green field to work with. You'll join at the perfect time to shape how we grow from here. 8. Meaningfully shape our future product: As you engage with customers, you'll gain insights to help us serve them better — and work with the product to inform what we do next. 9. Elevate your skills as we tackle our most impactful challenges: We've achieved more than teams 10x our size in less time — and there's so much more to do and learn. SKILLS YOU'LL NEED TO BRING: - Experience including either - 1-2 years managing a high-performing Sales Development team - 1-2 years Account Executive experience (and strong performance) at a SaaS company; after having successfully made the leap from Sales Development to Account Executive - Strong track record of achieving sales targets across team and individual goals - Skilled in managing and coaching early-career salespeople - You have strong, recognized leadership skills with a focus on empowerment, positive mindsets, collaboration, and the ability to inspire a team of direct reports - You are comfortable with the ambiguity and pace of iteration of a high growth startup - You have a growth mindset and thrive in the building stage of an early stage team - You view setbacks as learning opportunities, not failures - You have a high EQ and exceptional interpersonal skills, the ability to manage influence through persuasion, negotiation, and consensus-building - You have an analytical mindset and enjoy problem-solving as part of a regional leadership team - You have strong empathy for customers and a passion for revenue and growth - You have a good understanding of value selling - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results NICE TO HAVES: - You've built new business sales playbooks or processes - You've been a first or early hire at a fast-growing start-up before - Experience leading and improving Sales Development critical metrics - Experience running successful weekly and monthly team meetings We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Notion. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York City, the estimated range for total on-target earnings (including base salary and on target incentive pay) for this role is $230,000 - $245,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Canada Workplace: Remote About the Team The ClickPipes team builds the services that power data ingestion into ClickHouse Cloud. As a primary entry point for customers’ data, ClickPipes is critical to product adoption and the company’s growth. We work at petabyte scale, solving challenges in distributed systems, fault tolerance, and high-throughput ingestion. You’ll help make these pipelines performant, reliable, and easy to operate, with ownership of technical decisions and the platform as a whole. You can find some of the team’s recent work highlighted in our blog: - GCP Pub/Sub connector for ClickPipes is now in Private Preview https://clickhouse.com/blog/clickpipes-gcp-pub-sub-preview - Terraform & OpenAPI for ClickPipes is now Generally Available https://clickhouse.com/blog/terraform-ga - Unordered mode for GCS ClickPipes is now available https://clickhouse.com/blog/clickpipes-gcs-unordered-mode We’re looking for backend engineers with experience in data-intensive systems who enjoy working across technologies. You’ll collaborate with engineering and product partners and drive projects from design through production. What will you do? - Build and evolve integrations with streaming platforms and object storage, including Kafka, Kinesis, Pub/Sub, S3, GCS, and Azure Blob Storage. - Continuously improve our systems based on operational metrics, customer feedback, and evolving business requirements. - Drive technical discussions and contribute to architectural decisions that impact our platform's scalability and resilience. - Participate in on-call rotations to ensure system reliability and respond to production incidents. About you: - 5+ years of software development experience building and operating distributed systems. - Strong knowledge of Go and its ecosystem. - Experience designing systems for scalability and fault tolerance, with an understanding of concurrency, consistency, and failure recovery. - Understanding of cloud-native architecture and practical experience with at least one major cloud provider. - Experience diagnosing and resolving production issues in distributed systems. - Ability to communicate technical ideas clearly and collaborate across engineering and product teams. - Experience with data ingestion pipelines, streaming platforms, or object storage is a plus. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking an NPI Quality Engineer II, Hardware to support Product Quality activities for hardware development programs from concept through launch. As a member of the Product Quality organization, you will partner closely with Hardware Engineering, Manufacturing Engineering, Supplier Quality, Reliability, Operations, and global manufacturing partners to help ensure products are designed, validated, and launched with exceptional quality. You will support quality planning, design and manufacturing risk management, validation, and launch-readiness activities while developing technical expertise in Product and NPI Quality. RESPONSIBILITIES: - Support Product Quality activities for assigned hardware development programs, components, or subsystems throughout development, validation, manufacturing readiness, and product launch. - Partner with Product Management and Systems Engineering to help translate Voice of Customer requirements into measurable product and engineering requirements. - Work cross-functionally with Hardware Engineering, Manufacturing Engineering, Supplier Quality, Field Quality, Reliability, Test Engineering, Operations, and manufacturing partners to identify potential failure modes and quality risks early in product development and track them through resolution. - Support and facilitate quality planning activities including DFMEA, CTQ definition, reliability planning, validation and verification, process capability, measurement system analysis, and launch-readiness reviews. - Analyze engineering and manufacturing data to identify product and process risks and support data-driven decision making. - Partner with Supplier Quality to support supplier and contract-manufacturer quality activities, including engineering drawing reviews, design-file reviews, control plans, inspection strategies, and process capability assessments. - Apply structured problem-solving methodologies to investigate product and manufacturing failures, support root-cause analysis, and drive corrective and preventive actions. - Support engineering builds and NPI activities, including identification, documentation, prioritization, and closure of quality issues. - Monitor product and process quality metrics and communicate significant trends, risks, and issues to the Product Quality team and cross-functional stakeholders. - Participate in cross-functional program and technical reviews, providing objective quality data and supporting risk and launch-readiness assessments. - Document lessons learned and help ensure relevant findings from development, validation, manufacturing, and field performance are incorporated into future product-development activities. - Contribute to the continuous improvement of Product Quality processes, tools, templates, and standards. - Willing and able to travel up to 15% internationally to partners, suppliers, and contract manufacturers. QUALIFICATIONS: - Bachelor's degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, Industrial Engineering, Quality Engineering, or a related technical discipline. - 3–5+ years of experience in Product Quality, NPI Quality, Manufacturing Quality, Product Engineering, or related engineering roles supporting consumer electronics, wearables, medical devices, or similarly complex hardware. - Experience supporting hardware products through one or more phases of product development, validation, manufacturing readiness, and/or launch. - Working knowledge of quality methodologies including DFMEA, PFMEA, CTQ, DOE, SPC, MSA, GR&R, root-cause analysis, CAPA/8D, and statistical quality methods. - Experience analyzing engineering and manufacturing data and applying structured problem-solving techniques. - Experience working with suppliers or manufacturing partners, preferably in a high-volume manufacturing environment. - Strong analytical and problem-solving skills with the ability to use objective data to identify and communicate product and manufacturing risks. - Effective written and verbal communication skills with the ability to collaborate across engineering and operations teams. - Ability to operate effectively in a fast-paced, collaborative environment while managing assigned priorities and deliverables. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $120,000 - $160,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: London, England, United Kingdom About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About Fanatics Markets: Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow — from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets. Overview: This Staff Software Engineer role is an individual contributor position with technical leadership and significant ownership across our full stack: the web application customers use to interact with our product and the backend systems that power it. You'll combine hands-on engineering with responsibility for shaping architecture, setting technical direction, and enabling engineers across teams to deliver effectively. Whether your deepest expertise is in frontend or backend engineering, you'll apply that strength across the platform while making meaningful contributions on the other side of the stack. Joining a product at an exciting early stage, you'll help define its technical foundations, identify the highest-impact engineering challenges, and turn ambiguous problems into clear plans that balance customer needs, delivery speed, and long-term reliability. Your impact will extend beyond the systems you build. You'll lead complex initiatives spanning teams, mentor engineers, and establish practices that improve engineering quality and effectiveness. You'll also shape our approach to AI-assisted development while building systems that can handle millions of events daily. On the engineering side, we're pioneering the use of AI as a code collaborator. We need engineers who have gone beyond experimentation — who actively use Claude Code, Codex, GitHub Copilot, or similar tools to ship production code faster while maintaining exceptional quality standards, and who can help others adopt these workflows responsibly and effectively. Responsibilities: Set technical direction for major areas of the Markets platform, aligning architectural decisions with product strategy and guiding their implementation across teams Lead the design and delivery of complex, scalable systems and customer experiences, contributing hands-on in React, Next.js, and TypeScript or backend services in Go, while making meaningful contributions across the stack Identify and resolve ambiguous engineering problems spanning team or system boundaries, turning them into clear proposals, delivery plans, and measurable outcomes Own critical initiatives end-to-end, from discovery and technical specifications through implementation, instrumentation, deployment, monitoring, and iteration Partner with product, design, platform, and infrastructure teams to make informed tradeoffs across customer experience, accessibility, performance, security, reliability, and delivery speed Define architecture and integration patterns for frontend applications, backend APIs, and event-driven systems, with particular attention to correctness in markets, orders, and transactions Guide the design of experimentation capabilities, including feature flags and A/B tests, so teams can validate ideas quickly and safely Anticipate scaling constraints, reliability risks, and technical debt; build alignment on pragmatic improvements and drive them through to completion Raise engineering standards through design reviews, code reviews, testing strategies, observability, and safe deployment practices Mentor engineers and develop technical leaders, helping teams make sound decisions and solve problems independently Establish and evolve standards for AI-assisted development, including appropriate use cases, review expectations, security safeguards, and validation strategies Measure and improve engineering effectiveness, sharing tools and practices that increase delivery speed without compromising quality Lead through influence in an early-stage product environment, creating clarity, unblocking teams, and establishing ways of working that support growth Qualifications: Substantial experience building and operating highly scalable production systems, with demonstrated impact at Staff level or equivalent scope, including technical leadership across teams or major platform areas Deep expertise in either user-facing web applications built with JavaScript/TypeScript and React or backend services built with languages such as Go, Java, or Python, alongside the ability to reason across the full stack. If you're frontend-strong, you don't need to arrive fluent in Go, but you should be comfortable engaging with backend architecture and system tradeoffs A track record of setting technical direction and delivering complex initiatives from ambiguous requirements through to measurable production outcomes Strong architectural judgment, including the ability to assess tradeoffs, establish clear system boundaries, and evolve systems as product requirements and scale change Experience shaping React architecture, component-driven development, and modern state management using tools such as Next.js, TanStack Query, Tailwind, or Zustand; or deep backend experience with data modeling, distributed systems, and event-driven architecture using technologies such as Postgres and Kafka/PubSub Deep knowledge of your primary language's features, idioms, and best practices, with experience establishing standards adopted beyond your immediate team Strong understanding of performance, reliability, and security, including responsive design and accessibility on the frontend or scalability, observability, data integrity, and failure handling on the backend Experience defining API contracts and collaborating across product, platform, and infrastructure teams to deliver reliable systems Experience shaping CI/CD pipelines, testing strategies, and safe deployment practices across services or applications Demonstrated ability to lead through influence, build alignment across teams, and communicate technical decisions clearly to engineers and non-technical stakeholders A track record of mentoring engineers, strengthening technical decision-making, and increasing the effectiveness of others Demonstrated experience using AI tools such as Claude Code, Codex, Cursor, or Copilot to ship production code, with sound judgment about their limitations and appropriate validation Specific examples of improving development workflows, with evidence of their impact on delivery speed, quality, or engineering productivity A team-first approach, with the judgment to move between strategic technical work and hands-on delivery according to the needs of the product Ability to create clarity in a high-growth environment where priorities evolve and decisions must be made quickly Strong cross-functional collaboration skills, including experience aligning teams and navigating dependencies within large enterprise environments You don't need to tick every box — deep strength in one area, demonstrated technical leadership, and a willingness to learn go a long way. Preferred Qualifications: Previous experience shaping technical foundations in early-stage or high-growth startup environments Experience with real-money transaction systems, including financial correctness, auditability, and regulatory requirements Experience developing technical roadmaps or leading architectural changes adopted across multiple teams Background in building developer tools or improving engineering productivity at scale Experience establishing AI-assisted engineering practices across teams Contributions to open-source projects or the technical community BSc in Computer Science or a related field Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connections and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. Ready to build the future of sports trading? If you possess some of these skills but not all of them, we still encourage you to apply! Please note that visa sponsorship is not available for this position. We are open to fully remote candidates based in the United Kingdom. Remote employees may also be eligible for a home office setup stipend. By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Berlin Office; Bosnia; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; Montenegro; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to identify and reduce security risks across n8n's product and internal systems, using threat modelling, hands-on security expertise, and cross-functional collaboration to help teams design, build, and operate more secure systems. You'll join our growing security team at a pivotal stage, acting as a trusted security partner to teams across the business. You'll help us build a move from reactive security management to a proactive, scalable security practice. Here's what you'll be driving: THREAT MODELLING, RISK ASSESSMENT & SECURITY DESIGN - Conduct threat modelling and risk assessments across product features, AI agents, cloud infrastructure, corporate IT, internal applications, and data systems, identifying vulnerabilities and recommending practical mitigations. - Partner with Engineering, Cloud, IT, and Data teams to review security designs, define actionable security requirements, and influence the implementation of appropriate controls. - Help teams embed security into their development processes through secure coding guidance, design reviews, documentation, and security tooling that enables them to identify and address risks independently. VULNERABILITY MANAGEMENT & COORDINATED DISCLOSURE - Participate in the security triage rotation, assessing incoming vulnerability reports, validating findings, and prioritising remediation based on severity and business impact. - Collaborate with engineering teams to coordinate vulnerability remediation, verify fixes, and support secure patch and release processes. - Help manage our vulnerability disclosure and bug bounty programmes, including engagement with security researchers, coordinated disclosures, and GitHub Security Advisories. SECURITY OPERATIONS & INCIDENT READINESS - Help establish and improve logging, detection, and protective monitoring capabilities across our infrastructure, corporate systems, and internal applications. - Develop and improve incident response processes, runbooks, and exercises to strengthen our ability to detect, investigate, and respond to security incidents. - Work closely with system owners to identify security gaps, prioritise remediation, and verify that implemented controls effectively reduce risk. CUSTOMER TRUST & COMPLIANCE ENGINEERING - Support SOC 2 compliance by helping establish continuous control monitoring, automated evidence collection, and processes that make security assurance part of everyday operations. - Collaborate with Sales, Solutions Engineering, and Customer Success to respond to customer security assessments and build reusable resources that streamline future requests. - Partner with Legal, Finance, IT, and other stakeholders to assess security risks, improve security policies and controls, and strengthen trust with enterprise customers. We're hiring two Security Engineers with complementary strengths, so you don't need to be an expert in every security domain. REQUIREMENTS MUST-HAVES - 🔍 Threat Modelling & Risk Assessment: You have hands-on experience assessing real-world systems, identifying security risks, determining defensible severity levels, and recommending practical controls that teams can implement. - 🛠️ Technical Security Expertise: You can validate security findings, reproduce vulnerabilities, develop proof-of-concepts, and write code or automation when needed to demonstrate risks or improve security processes. - 🔐 Security Engineering Experience: You've worked hands-on in infrastructure, product, or application security within a product-focused organisation, with a strong understanding of how modern systems are designed and secured. - 🤝 Cross-functional Influence: You're comfortable acting as an internal security consultant, advising teams, challenging technical decisions constructively, and influencing stakeholders without direct authority. - 🎯 Risk Remediation & Ownership: You've helped secure systems you don't directly own, translating security findings into actionable requirements and working with responsible teams to ensure effective remediation. - 🤖 AI & LLM Fluency: You're comfortable using LLM-assisted tooling and understand its limitations, security implications, and potential failure modes. - ✍️ Clear Communication: You can explain complex security risks, document technical findings, and provide practical guidance that engineers and non-technical stakeholders can confidently act on. You also bring deep expertise in at least two of the following areas: - 💻 Application Security: You've developed security checks, engineering guardrails, tooling, or guidance that helps product teams build and ship secure software. - ☁️ Platform Security: You have experience securing a major cloud provider and Kubernetes environments, including areas such as sandboxing, multi-tenancy, or identity. - 🔑 Corporate Security: You've worked on identity and access management, endpoint security, employee access lifecycles, or data access controls across corporate environments. - 🚨 Security Monitoring: You've implemented logging, protective monitoring, or security detection capabilities that support effective investigation and incident response. - 📋 Security Assurance & Compliance: You've supported SOC 2 or ISO 27001 from an engineering perspective, including implementing technical controls or automating compliance evidence collection. NICE-TO-HAVES - 🐛 Vulnerability Disclosure: You've helped operate bug bounty or coordinated vulnerability disclosure programmes, including publishing security advisories such as GHSAs or CVEs. - 🧠 AI & Agent Security: You have experience assessing or securing LLM-powered applications and AI agents, including risks related to permissions, tool access, prompt injection, or sensitive data. - 🏢 Corporate IT Tooling: You're familiar with platforms such as Okta, Azure, or Drata and their role in securing corporate systems and supporting compliance. - 🌍 Open-source Ecosystems: You've worked with open-source or source-available products, contributed to security communities, or are already familiar with n8n. - 🎯 Penetration Testing: You have practical penetration testing experience and can independently identify, demonstrate, and help remediate security vulnerabilities. - 🌱 Early-stage Security Experience: You've been an early security hire or helped establish security practices in a startup or rapidly scaling organisation. Why join us? At n8n, you'll help shape security at a defining stage of our growth. We're building a security practice that goes beyond reacting to vulnerabilities, and you'll play a key role in how we identify risks, influence engineering decisions, and establish security practices that scale with the business. You'll work across a broad range of challenges, from securing AI-powered product features and our source-available automation platform to improving corporate security, strengthening incident readiness, and making compliance more automated. You'll have direct exposure to teams across the company, the opportunity to influence important technical decisions, and the autonomy to turn your expertise into measurable security improvements. Sound like a challenge you're excited to take on? Apply now — and help us build the future of secure automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Korea Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for senior software engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. WHAT YOU’LL DO Customer-Facing Technical Impact - Work closely with enterprise customers to translate high-value, ambiguous business problems into well-framed agentic problems with clear success criteria and evaluation methodologies. - Provide technical leadership across the full development and evaluation lifecycle, including post-deployment iteration, for agentic workflows. - Travel up to 20–40% to work on-site with customers and partners Agent Design, Build and Production launches - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability and performance. - Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions. - Define and apply evaluation and quality standards to measure success, failures, and regressions; Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails. - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution Team Mentorship & Organizational Impact - Mentor engineers across distributed teams. - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization. - Contribute to shared frameworks and patterns that enable consistent delivery across customers. REQUIRED SKILLS & EXPERIENCE Technical Foundations - Demonstrated ability to build, ship, and operate production-grade software systems. - Substantial hands-on experience designing, building, evaluating, and fine-tuning LLM-based agents in real-world applications. - Deep familiarity with modern LLM ecosystems, including models (e.g., GPT, Claude, Gemini), vector databases, RAG architectures, agent/orchestration frameworks, prompt engineering, tool use, multi-step agent workflows (e.g., ReAct), and robust failure handling. - Strong proficiency in Python and/or JavaScript/TypeScript. Experience and Leadership - Experience working directly with customers or stakeholders to design and deliver LLM-powered agentic solutions aligned with real business needs. - Proven technical leadership at the team level, including guiding architecture, implementation, and delivery of complex AI systems. ADDITIONAL REQUIREMENTS - Strong written and verbal communication skills. - Fluency in English and Korean language. IT’S A BONUS IF YOU HAVE: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Your job is to make sure every payout and transaction lands with the right person. We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform. This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch. We are now looking for a Backend Engineer (Golang) to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one. This role will be based in London , UK as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin. What you'll do: Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers. Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout. Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times. Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer. Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter. Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team. Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event. Our expectations: 3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production. 1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly. A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one. Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar). Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability. Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality. Nice to have Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud. Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path. Background in Kotlin, Java, Python, or Node.js alongside Go. Familiarity with cloud infrastructure (AWS, GCP). Experience working across multiple brands, regions, or regulatory regimes. What we value A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output. Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them. A track record of owning a project or feature end to end, especially in fast-paced environments. Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together. An adversarial instinct. The best fraud engineers enjoy thinking like the attacker. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong The Role We’re looking for a QA Manager to own end-to-end quality across hardware, firmware, PlayOS, and game experiences for Nex Playground. This is a role for someone who enjoys hands-on testing and debugging while also shaping test strategy, release criteria, and the overall quality bar. Your mission is to ensure every hardware revision works seamlessly with PlayOS and our games—delivering a stable, responsive, compatible, and delightful experience in real-world conditions. You’ll partner closely with the engineering team and game cells to identify risk, prevent regressions, and support confident release decisions. Key Responsibilities Hardware compatibility & system validation Own validation for hardware bring-up and ongoing compatibility across hardware revisions, PlayOS versions, and game builds. Develop and maintain risk-based test plans across EVT, DVT, and PVT—or equivalent development stages—including: boot, update, rollback, and recovery flows input, tracking, peripherals, and connectivity long-session stability, power cycles, and intermittent failures storage integrity and save-data behavior Maintain a clear compatibility matrix covering hardware revisions, PlayOS versions, firmware versions, and game builds. Partner with engineering teams to isolate hardware–software issues and verify fixes. Firmware quality & release gating Own the test strategy for firmware and PlayOS updates, including upgrade and downgrade paths, interrupted updates, failure scenarios, sleep/wake behavior, backgrounding, resume, and recovery. Define manual validation and integrate automated checks into OTA release workflows where appropriate, covering installation, staged rollout, rollback, interruption handling, and recovery. Establish quality gates, entry and exit criteria, and evidence-based go/no-go recommendations for hardware and firmware releases. Assess release risk, track critical issues, and ensure regressions are understood before rollout. Performance, reliability & real-world readiness Validate system compatibility across PlayOS and game releases, including input, tracking, performance, save data, and update-related regressions. Define and validate measurable quality targets such as frame-rate stability, responsiveness, latency, memory usage, thermal behavior, and crash-free sessions. Execute long-run, stress, and recovery testing to identify memory leaks, degradation over time, and intermittent failures. Test representative user environments, including network variability, display configurations, device states, user flows, and edge conditions. Automation & tooling Build and maintain reliable automated regression coverage across device, firmware, OTA, system-integration, and game-compatibility workflows where appropriate. Integrate high-value automated checks into release workflows and make failures easy to diagnose. Develop lightweight tools and scripts that accelerate setup, validation, data collection, and troubleshooting. Communication, vendor management & cross-functional leadership Produce actionable bug reports with clear reproduction steps, environment and build details, logs, impact, and supporting evidence. Drive defect triage and prioritization with engineering and product partners, particularly during release cycles. Manage external vendors, including scope, capacity, priorities, deliverables, acceptance criteria, quality standards, and performance. Communicate quality status and release risk clearly, helping teams make informed tradeoffs and decisions. Champion consistent testing practices and raise the quality bar across teams through influence and collaboration. Key Requirements Strong hands-on QA experience in system-level testing, firmware or OS validation, or hardware–software integration. Demonstrated ability to design risk-based test strategies and execute thorough exploratory testing. Experience validating firmware or OTA update flows, including failure handling, rollback, and recovery. Experience investigating performance, reliability, and intermittent issues using logs, traces, crash data, and other diagnostic evidence. Ability to create maintainable automated tests, tools, or scripts in at least one programming or scripting language. Experience coordinating external QA partners or vendors and holding deliverables to clear quality standards. Clear written and verbal communication, sound judgment, and strong cross-functional collaboration. Nice-to-have Experience with consumer electronics, hardware bring-up, EVT/DVT/PVT, or manufacturing test concepts. Experience with game or platform QA, graphics and performance profiling, input or motion-tracking systems, or observability tooling. Familiarity with Android or Linux debugging, ADB, CI/CD systems, device logs, traces, and crash dumps. Experience building test infrastructure, managing device labs, or validating staged software rollouts at scale. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Tunis, Tunisia Workplace: hybrid About Yassir:   Yassir is the leading super app in the Maghreb region, set on changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia, with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. We're helping usher the continent into a digital economy era, not just by serving people, but by building a marketplace that brings people what they need while infusing social values. About the Role Yassir's marketplace runs on decisions made millions of times a day: which driver gets which trip, what a ride should cost, when an order will arrive, which transaction looks fraudulent, who qualifies for credit. We are looking for a Product Manager who owns the machine learning systems behind those decisions and is accountable for their measurable impact on the business. This is a product role for ML-heavy, data-intensive products. You will lead discovery from data rather than from opinion, frame business problems as problems a model can actually solve, define what success means both offline and in production, and prove impact through well-designed experiments. You will work closely with data scientists, ML engineers and data engineers, and with product and operations partners across ride-hailing, delivery and financial services. What This Role Is (and Isn't) This role centres on predictive and decisioning ML: ranking, matching, forecasting, pricing, risk and personalisation. Experience building LLM or agentic features is welcome, but it is not a substitute for the fundamentals below. If your ML product experience is primarily integrating third-party models or APIs into user-facing features, this role is likely not the right fit. Responsibilities Data-led discovery: Identify and size ML opportunities by going into the data yourself. Diagnose where the marketplace is losing value (supply-demand imbalance, cancellations, ETA error, fraud losses, default rates) and translate it into a prioritised, quantified problem backlog. Problem framing: Turn business problems into well-posed ML problems: define the prediction target, the decision it informs, the unit of analysis, label availability and quality, and the cost of different error types. Know when a problem does not need ML and a rule or heuristic will do. Metrics and success criteria: Define the chain from model metrics (e.g. precision/recall, calibration, MAE) to product and business metrics, and own guardrail metrics. Understand why offline gains often fail to translate online, and plan for it. Experimentation and causal inference: Design and interpret controlled experiments, including in two-sided marketplace settings where interference makes standard A/B tests unreliable (switchback, geo or cluster-randomised designs). Reason about statistical power, novelty effects and heterogeneous impact across cities and segments. Distinguish correlation from causation, and know which quasi-experimental methods to use when randomisation isn't possible. ML product lifecycle: Own models from framing through data requirements, baseline, iteration, launch, monitoring and retirement. Partner with engineering on rollout strategy, model monitoring, drift detection, retraining cadence and failure modes. Treat a model in production as a product that degrades if unattended. Roadmap and trade-offs: Own the ML product roadmap across domains and countries. Make explicit trade-offs between accuracy, latency, cost, interpretability, fairness and regulatory requirements, especially in credit and financial services. Stakeholder alignment and visibility: Make the impact of ML work legible to non-technical leadership. Communicate results, including null and negative results, with rigour and clarity. Align product, operations, risk and marketing partners on shared objectives. Leadership and culture: Raise the bar on how the organisation makes decisions with data. Mentor peers, build a culture of feedback and trust, and invest in your own growth and that of those around you. Requirements 4+ years of product management experience, including at least 2 years owning ML-driven products that run in production and influence core business decisions (e.g. pricing, matching, ranking, forecasting, fraud, credit risk, recommendations). Hands-on fluency with data: you can write SQL, explore data independently and challenge an analysis without waiting for someone else to run it. Demonstrated experience designing, running and interpreting controlled experiments, and a solid working understanding of causal inference. Strong understanding of core ML concepts: supervised learning, evaluation metrics and their trade-offs, overfitting and leakage, bias, calibration, and the relationship between offline and online performance. A track record of shipping ML products where you can clearly articulate the problem framing, the metrics chosen, the experiment design and the measured business impact, including what went wrong. Experience working with distributed or remote teams across multiple markets. Experience in marketplaces, mobility, on-demand delivery or fintech is a strong plus. BSc/MSc in Engineering, Computer Science, Statistics, Data Science or a related quantitative field.

Location: Warszawa, Poland; Madrid, Spain; Belgrade, Serbia; Bucharest, Romania; Vilnius, Lithuania; Rīga, Latvia; Almaty, Kazakhstan; Tallinn, Estonia; Tbilisi, Georgia; Yerevan, Armenia Workplace: fully 🧠 Tech Level: Senior 🗣 Language Proficiency: Requires fluent Russian, as part of the team communication is conducted in Russian 🧾 Employment type: Full time 🌍 Candidate Location: Poland, other EU countries, Armenia, Georgia, Kazakhstan 🕐 Working Time Zone: CET 🚀 Start: asap 🧭 Planned Work Duration: Preliminary 3 months with potential for extension 👥 Customer Description: The customer is a global mobility and urban services platform offering ride-hailing, intercity travel, delivery, and task assistance. 🧩 Project Description: Data-collection platform spanning a worker mobile application, back office, and backend services. ⚙️ Project Phase: Ongoing 👨‍💻Project Team: frontend, 2 backend, QA, product manager 💡 Hard Skills / Must Have: • Functional, integration, API, and end-to-end testing across onboarding, task processing, data capture, review, earnings, and payouts • Testing TTL, expiry, reassignment, quotas, targeting, financial flows, privacy, consent, retention, and erasure • Experience testing financial flows, such as accruals, balances, batch payouts, and reconciliation with third-party payout providers; understanding of data privacy requirements, including consent management, data retention, and erasure. • Experience testing integrations with internal and third-party services, such as authentication, CRM and push notifications, payout partners, LLM providers, and cloud storage (S3). • Strong understanding of microservices, event-driven and asynchronous architectures, including retries, timeouts, idempotency, duplicate events, and eventual consistency. • REST/gRPC API testing and automation with Postman • Automated testing with Playwright, Cypress, Appium, or similar frameworks • Troubleshooting using logs, metrics, traces, databases, message queues, SQL/MySQL, Kafka, Grafana, Kibana, and CloudWatch • Ability to validate consistency across the mobile app (Kotlin), WebView, back office, backend APIs, and distributed services, and troubleshoot partial failures and partner/service outages. • CI/CD, Docker, AWS, distributed-service testing, test strategy, release validation, and production issue analysis ✨ Hard Skills / Nice to Have: • Experience testing media capture and upload on mobile devices (photo, voice, video, text), including device fragmentation, permissions, poor or unstable networks, resumable uploads, and on-device validation. • Experience testing ML/LLM-powered features and validating AI-generated outputs. 📌 Responsibilities and Tasks: • Own test strategy, test planning, and release sign-off for the platform • Test mobile media capture and upload under real-world device and network conditions • Verify task lifecycle, quotas, submissions, review workflows, segmentation, and isolation • Validate financial, compliance, consent, erasure, and audit flows • Build and maintain end-to-end and API automation in CI, including load testing 🧪 Technology Stack: Kotlin, Playwright/Cypress/Appium, Postman, REST/gRPC APIs, SQL (MySQL), Kafka, Grafana, Kibana, AWS (S3, CloudWatch), Docker, CI/CD 📞 Interview stages: • English check (15 minutes) • Internal technical interview (1-1,5 hour) • Client interview (1 hour) • Client interview – cultural fit (45 minutes) 💼 What we offer Model: B2B contract with Bonapolia - one contract, one monthly invoice Rate: negotiated per candidate seniority and client budget Payment: monthly invoice, paid on the same schedule the client pays us (usually 30 days) Contract written under your country's law We handle the client-side paperwork: MSA, NDA, invoicing 🏢 About Bonapolia Bonapolia is a family-owned IT staff augmentation team based in Lisbon. We build engineering teams for product companies and IT consultancies across Europe and the US. More at bonapolia.com

Location: Minsk, Belarus As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior Infrastructure Engineer to join our Engineering Team. Step into a high-impact role as a Senior Infrastructure Engineer . You will run and maintain our partner's Linux (Debian and Rocky Linux) and Proxmox VE infrastructure, owning the full lifecycle of virtual machines from provisioning and migration to upgrades and decommissioning. You won't just keep servers healthy; you will plan production maintenance and major upgrades, manage backup, restore and disaster recovery, and automate repetitive work with Ansible and scripting. If you are careful with production changes, love troubleshooting across compute, storage and networking, and take real ownership, we would love to hear from you! Key Responsibilities Linux System Administration: Operate and maintain Linux infrastructure based on Debian and Rocky Linux. Virtualization & Cluster Management: Operate and maintain Proxmox VE clusters and virtual machines. Virtual Machine Lifecycle: Manage the full lifecycle of virtual machines, including provisioning, migration, upgrade, and decommissioning. System Updates & Upgrades: Plan and perform Linux and Proxmox updates/upgrades, including major version upgrades. Production Maintenance Planning: Plan and execute infrastructure maintenance activities in production environments. Data Protection & Disaster Recovery: Manage VM/server backup and restore processes and validate recovery procedures. Infrastructure Troubleshooting: Troubleshoot infrastructure issues across compute, storage, operating systems, and networking. Automation & Scripting: Automate repetitive operational tasks using Ansible and scripting. Infrastructure Migrations: Participate in infrastructure migrations and production changes. Change Management & Risk Mitigation: Prepare change plans, validation steps, and rollback procedures for high-risk infrastructure changes. Requirements 5+ years of hands-on experience with Linux infrastructure. Strong knowledge of Debian / Rocky Linux . Hands-on production experience with Proxmox VE , KVM/QEMU and Proxmox clusters. Good understanding of cluster concepts including quorum, Corosync and failure scenarios . Strong practical experience with ZFS , including pools, datasets, snapshots, replication, disk replacement and failure recovery. Experience with VM migration and live migration. Experience performing Linux and Proxmox updates/upgrades. Strong Linux administration knowledge including systemd, package management, boot process, filesystems, LVM, RAID, mounts, permissions, SSH and sudo. Good understanding of Linux networking: TCP/IP, routing, VLANs, bonding, DNS, MTU and firewall basics. Hands-on experience with backup and restore, including recovery after VM or server failures. Understanding of backup, snapshot and replication concepts. Experience with Proxmox Backup Server or similar solutions. Practical experience with Ansible , Bash and Git. Strong troubleshooting skills for CPU, memory, disk I/O, filesystem and network issues. Nice to Have Experience with shared or distributed storage systems , such as Ceph, SAN, iSCSI, NFS or similar solutions. Python. Monitoring systems such as Zabbix, Prometheus, VictoriaMetrics or Grafana. Experience with physical servers and data center hardware. Hardware RAID / HBA. IPMI / iDRAC / iLO. Experience participating in disaster recovery or infrastructure migration projects. Soft Skills Strong ownership and responsibility. Careful approach to production changes. Ability to troubleshoot complex infrastructure issues independently. Good documentation and communication skills. Focus on automation, reliability and operational simplicity. Benefits

Location: Tbilisi, Georgia; Yerevan, Armenia; Kazakhstan; Uzbekistan As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior Infrastructure Engineer to join our Engineering Team. Step into a high-impact role as a Senior Infrastructure Engineer . You will run and maintain our partner's Linux (Debian and Rocky Linux) and Proxmox VE infrastructure, owning the full lifecycle of virtual machines from provisioning and migration to upgrades and decommissioning. You won't just keep servers healthy; you will plan production maintenance and major upgrades, manage backup, restore and disaster recovery, and automate repetitive work with Ansible and scripting. If you are careful with production changes, love troubleshooting across compute, storage and networking, and take real ownership, we would love to hear from you! Key Responsibilities Linux System Administration: Operate and maintain Linux infrastructure based on Debian and Rocky Linux. Virtualization & Cluster Management: Operate and maintain Proxmox VE clusters and virtual machines. Virtual Machine Lifecycle: Manage the full lifecycle of virtual machines, including provisioning, migration, upgrade, and decommissioning. System Updates & Upgrades: Plan and perform Linux and Proxmox updates/upgrades, including major version upgrades. Production Maintenance Planning: Plan and execute infrastructure maintenance activities in production environments. Data Protection & Disaster Recovery: Manage VM/server backup and restore processes and validate recovery procedures. Infrastructure Troubleshooting: Troubleshoot infrastructure issues across compute, storage, operating systems, and networking. Automation & Scripting: Automate repetitive operational tasks using Ansible and scripting. Infrastructure Migrations: Participate in infrastructure migrations and production changes. Change Management & Risk Mitigation: Prepare change plans, validation steps, and rollback procedures for high-risk infrastructure changes. Requirements 5+ years of hands-on experience with Linux infrastructure. Strong knowledge of Debian / Rocky Linux . Hands-on production experience with Proxmox VE , KVM/QEMU and Proxmox clusters. Good understanding of cluster concepts including quorum, Corosync and failure scenarios . Strong practical experience with ZFS , including pools, datasets, snapshots, replication, disk replacement and failure recovery. Experience with VM migration and live migration. Experience performing Linux and Proxmox updates/upgrades. Strong Linux administration knowledge including systemd, package management, boot process, filesystems, LVM, RAID, mounts, permissions, SSH and sudo. Good understanding of Linux networking: TCP/IP, routing, VLANs, bonding, DNS, MTU and firewall basics. Hands-on experience with backup and restore, including recovery after VM or server failures. Understanding of backup, snapshot and replication concepts. Experience with Proxmox Backup Server or similar solutions. Practical experience with Ansible , Bash and Git. Strong troubleshooting skills for CPU, memory, disk I/O, filesystem and network issues. Nice to Have Experience with shared or distributed storage systems , such as Ceph, SAN, iSCSI, NFS or similar solutions. Python. Monitoring systems such as Zabbix, Prometheus, VictoriaMetrics or Grafana. Experience with physical servers and data center hardware. Hardware RAID / HBA. IPMI / iDRAC / iLO. Experience participating in disaster recovery or infrastructure migration projects. Soft Skills Strong ownership and responsibility. Careful approach to production changes. Ability to troubleshoot complex infrastructure issues independently. Good documentation and communication skills. Focus on automation, reliability and operational simplicity. Benefits

Location: Belgrade, Serbia As part of our continued growth, Neo Group is recruiting on behalf of one of our local partners , leveraging our network of 1,400 talented professionals across 10+ countries. Together, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace. We are on the lookout for a Senior Infrastructure Engineer to join our Engineering Team. Step into a high-impact role as a Senior Infrastructure Engineer . You will run and maintain our partner's Linux (Debian and Rocky Linux) and Proxmox VE infrastructure, owning the full lifecycle of virtual machines from provisioning and migration to upgrades and decommissioning. You won't just keep servers healthy; you will plan production maintenance and major upgrades, manage backup, restore and disaster recovery, and automate repetitive work with Ansible and scripting. If you are careful with production changes, love troubleshooting across compute, storage and networking, and take real ownership, we would love to hear from you! Key Responsibilities Linux System Administration: Operate and maintain Linux infrastructure based on Debian and Rocky Linux. Virtualization & Cluster Management: Operate and maintain Proxmox VE clusters and virtual machines. Virtual Machine Lifecycle: Manage the full lifecycle of virtual machines, including provisioning, migration, upgrade, and decommissioning. System Updates & Upgrades: Plan and perform Linux and Proxmox updates/upgrades, including major version upgrades. Production Maintenance Planning: Plan and execute infrastructure maintenance activities in production environments. Data Protection & Disaster Recovery: Manage VM/server backup and restore processes and validate recovery procedures. Infrastructure Troubleshooting: Troubleshoot infrastructure issues across compute, storage, operating systems, and networking. Automation & Scripting: Automate repetitive operational tasks using Ansible and scripting. Infrastructure Migrations: Participate in infrastructure migrations and production changes. Change Management & Risk Mitigation: Prepare change plans, validation steps, and rollback procedures for high-risk infrastructure changes. Requirements 5+ years of hands-on experience with Linux infrastructure. Strong knowledge of Debian / Rocky Linux . Hands-on production experience with Proxmox VE , KVM/QEMU and Proxmox clusters. Good understanding of cluster concepts including quorum, Corosync and failure scenarios . Strong practical experience with ZFS , including pools, datasets, snapshots, replication, disk replacement and failure recovery. Experience with VM migration and live migration. Experience performing Linux and Proxmox updates/upgrades. Strong Linux administration knowledge including systemd, package management, boot process, filesystems, LVM, RAID, mounts, permissions, SSH and sudo. Good understanding of Linux networking: TCP/IP, routing, VLANs, bonding, DNS, MTU and firewall basics. Hands-on experience with backup and restore, including recovery after VM or server failures. Understanding of backup, snapshot and replication concepts. Experience with Proxmox Backup Server or similar solutions. Practical experience with Ansible , Bash and Git. Strong troubleshooting skills for CPU, memory, disk I/O, filesystem and network issues. Nice to Have Experience with shared or distributed storage systems , such as Ceph, SAN, iSCSI, NFS or similar solutions. Python. Monitoring systems such as Zabbix, Prometheus, VictoriaMetrics or Grafana. Experience with physical servers and data center hardware. Hardware RAID / HBA. IPMI / iDRAC / iLO. Experience participating in disaster recovery or infrastructure migration projects. Soft Skills Strong ownership and responsibility. Careful approach to production changes. Ability to troubleshoot complex infrastructure issues independently. Good documentation and communication skills. Focus on automation, reliability and operational simplicity. Benefits

Location: Farmers Branch, TX 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. The Opportunity: To continually strengthen its business and support its growth in North America, LG Electronics is seeking a Quality Engineer I to join our Component Solutions team. This position will support product quality and reliability by conducting product testing, failure analysis, and quality investigations while working directly with customers and internal teams to resolve quality concerns. The Quality Engineer will serve as an important technical point of contact for assigned customer accounts, helping identify root causes, coordinate corrective actions, and drive continuous improvement. This role will work cross-functionally with Quality Assurance, Sales Engineering, customers, and LG’s global manufacturing and quality teams. Here is why you should come join our team: You’ll join a collaborative, global organization where you’ll have the opportunity to directly influence product quality and the customer experience. In this role, you’ll gain hands-on exposure to product testing, failure analysis, customer quality issues, and continuous improvement while partnering with teams across North America and LG operations in Korea, Thailand, and Mexico. This is an individual contributor position that offers meaningful ownership of customer quality issues, giving you the opportunity to lead investigations, recommend solutions, and see quality improvements through from identification to resolution. What You’ll Do: Perform product and compressor testing to evaluate product performance, quality, and reliability. Conduct teardown and failure analysis of returned products and components to identify root causes of quality issues. Investigate customer complaints, field returns, warranty claims, and post-production quality concerns, and coordinate appropriate corrective actions. Analyze statistical and quality data to identify trends, recurring issues, and opportunities for product or process improvement. Prepare quality reports, including field return analysis, warranty claim reporting, testing results, findings, and corrective actions. Serve as the primary quality contact for assigned customer accounts, responding to quality concerns and providing technical recommendations and solutions. Collaborate with internal Quality Assurance, Sales Engineering, and global engineering and manufacturing teams to investigate and resolve product and customer quality issues. Recommend and implement improvements to testing procedures, analytical methods, product quality, and manufacturing or assembly processes. Identify opportunities to improve quality and manufacturing efficiency while reducing quality-related costs. Participate in quality meetings with customers, internal teams, manufacturing locations, and headquarters to communicate findings and coordinate improvement activities. Maintain accurate quality records, test results, reports, and supporting documentation. Prioritize urgent customer quality matters and initiate appropriate actions while coordinating with management and global quality teams as needed. Job Requirements: Bachelor’s degree in Engineering or a related technical field. Ability to understand and apply quality assurance principles, testing methodologies, and analytical processes. Proficiency with Microsoft Excel, including the ability to organize, analyze, and report on quality-related data. Strong problem-solving and root cause analysis skills. Ability to analyze technical information and quality data to identify issues and recommend solutions. Strong written and verbal communication skills with the ability to communicate technical information to internal teams and customers. Ability to work effectively across multiple functions and with global teams. Ability to manage multiple priorities and respond quickly to urgent customer quality concerns. Korean and English bilingual communication skills preferred Experience in quality engineering, manufacturing quality, supplier quality, product testing, reliability, or a related engineering environment is preferred. Experience performing product teardown, failure analysis, or root cause investigation is preferred. Experience working directly with customers on product quality or technical issues is preferred. Knowledge of statistical quality analysis and continuous improvement methodologies is preferred. Experience with compressors, HVAC, components, mechanical products, or other engineered products is a plus. Frequent travel required up to 30% of the time #LI-DB2 Recruiting Range $60,000 — $70,000 USD 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 .