Вакансии

- Разработка и поддержка CI/CD-процессов для сборки и доставки блокчейн-приложений. - Настройка, мониторинг и поддержка инфраструктуры в облачных средах (AWS, GCP, Azure).

Location: Dublin, Ireland Continuously delivering content to a global audience of millions of players while also building new games affords Riot's InfoSec discipline with a mountain of exciting and complex challenges. And of course, the attention of very interesting adversary groups. That's where you come in. Riot Security Operations Engineers hold an in-depth knowledge of specific areas of expertise. We don't just focus on breaking things; we proactively support teams across Riot to develop robust security capabilities which help protect player experiences. We relish the opportunity to work with new tech stacks and product teams, each with their own unique security risk profile. At the most fundamental level, their goal is to help deliver value to players and make life harder for troublemakers. Our Security Operations team is responsible for regularly monitoring and analyzing Riot’s security efforts across the organization and for our players. Its mission is to quickly detect, analyze, and respond to various threat actors from across the globe. The ability to not only think critically when it comes to security threats, but technically by developing tools (e.g. automating security processes) is vital to their success. From working closely with local and federal law enforcement agencies around security incidents to defending against the next DDoS, they are here to protect Riot and our players. You will report to the Supervisor of Security Operations. Responsibilities: Probe, research, and analyze security risks that directly impact players and Riot Triage and investigate security events Assist identifying new exploits, threats and mitigations for detection engineering Contribute to Riot’s global Security Operations roadmap Support the incident investigation cycle to ensure proper remediation, eradication, and lessons learned are rolled back into day to day operations. Part of European team acting as the escalation point for all security events and investigations You will be expected to do a small amount of travel as part of a global team Required Qualifications: 2+ years of experience in an Security Operations or Incident Response role. This should include hands on experience completing tasks like malware detection and analysis, memory analysis, or disk forensics Understanding of the life cycle of network threats, attack vectors, and methods of exploitation and common tactics, techniques, and procedures of advanced attackers You can automate common tasks using a scripting language (Python, PowerShell, Go or similar) Demonstrated understanding of IT and security related technologies and best practices including endpoint incident detection and response, firewalls, networking and operating systems As comfortable communicating in distributed teams as with people sitting right next to you Desired Qualifications: Experience working with cloud infrastructure and services such as AWS, Azure, Google Cloud, SoftLayer or Private Clouds Experience working with security tooling and logging technology: SIEMs (Datadog/Splunk/ELK), EDR (Crowdstrike, SentinelOne, Microsoft Defender) Experience with Detection Engineering, Threat Hunting, and/or Threat Intelligence Industry certifications (GCFE, GCFA, GNFA, GCIH) a plus, but not required For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and Riot will support your retirement benefits with a company match, and double down on your donations of time and money to non-profit charitable organizations. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma is building the system of record for digital product development: collaborative tools with natural interfaces that bring PMs, developers, QA, and designers together. That creates new-to-the-world problems in how we build AI products, understand how people use them, and evaluate what makes them useful. You'll work with a unique, petabyte-scale dataset with rich traces of collaborative design and product building to tackle those problems. We're looking for an Applied Data Researcher who combines scientific depth with a proactive builder mindset. Reporting directly to our Head of Data, with regular visibility with C-level executives, you'll identify and vet opportunities, lead investigations into critical questions, and build useful Data products, tools, and prototypes. You'll work across Data Science, Engineering, Product, Design, and AI Research, building directly and providing technical direction to teams of other scientists as efforts grow. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Identify and vet consequential opportunities across Data products and tools, AI measurement and evaluation, and applied data capabilities; lead investigations and shape priorities with partners Develop and validate methods for evaluating generative AI and agentic workflows, including representative datasets, baselines, rubrics, and evals; investigate uncertainty, bias, failure modes, and real user outcomes Personally write code and build or adapt LLM-powered tools, agentic workflows, models, prototypes, and demos that test scientific, product, and tool hypotheses, using AI-assisted coding and analysis in your work Provide technical direction and oversight for larger projects, delegate work to teams of senior and staff scientists, and mentor scientists and engineers while maintaining a substantial personal contribution to code and methods Independently drive delivery or partner with engineering to turn useful prototypes into maintained systems, balancing quality, latency, cost, reliability, and iteration speed Establish reusable methods, tools, and technical standards; iterate with users, drive adoption across teams, and use evidence to improve an approach or recommend a change in direction Communicate findings, recommendations, limitations, and tradeoffs clearly to partners and C-level executives, connecting scientific and technical work to important product and company decisions We'd love to hear from you if you have: Deep expertise in machine learning, statistics, causal inference, or a related quantitative field, plus hands-on experience in generative AI evaluation and measurement, including evals, labeling, and agentic workflows Fluent programming skills in Python or a comparable language, plus SQL, and a record of independently building, debugging, testing, and reviewing useful software, including working effectively with AI-assisted development tools A proactive builder mindset and end-to-end ownership: experience identifying important opportunities and carrying ambiguous work through method development, implementation, rigorous evaluation, and sustained use by others A sustained record of company-, organization-, or cross-pillar scientific impact, including shaping technical direction, overseeing larger projects, and leading other senior scientists through influence and delegation Strong judgment, independence, and collaborative communication, including experience making recommendations to C-level executives, explaining uncertainty and tradeoffs, and aligning partners on priorities and decisions While it's not required, it's an added plus if you also have: Experience with human labeling, automated judge validation, conversational data, or multimodal AI and machine learning Experience building interactive applications, lightweight interfaces, APIs, or reusable open-source tools Cloud and data infrastructure experience; familiarity with Snowflake, AWS, Dagster, dbt, or Hex is useful, but no particular vendor or framework is required An MS or PhD in machine learning, computer science, statistics, or a similar quantitative discipline; graduate research, publications, or equivalent applied depth At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $235,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Мы в поисках Middle / Middle+ Python Backend Developer. - Коммерческий опыт от 3 лет в backend-разработке, из них от 2 лет с Python;

Both roles are for engineers who are comfortable working beyond isolated development tasks: building and improving data pipelines, dealing with performance and reliability, maintaining data quality, and contributing to migration and modernization work. 3+ years of experience, with Apache Airflow, Spark/PySpark, Snowflake, Kafka, AWS S3, Iceberg, and Parquet.

Location: Remote, Arizona, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role We’re looking for a talented Senior Sales Engineer to join our Enterprise, Existing Business sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and supporting a regimented proof-of-value process throughout the sales cycle. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana Linux, Windows, Python What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication and data transformation requirements Work cross functionally with your internal counterparts (AEs, Professional Services, BDRs, marketing, and support) to build and maintain a holistic account ownership plan Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running a tight proof-of-value process Work closely with Fivetran+dbt’s Product and Engineering teams to ensure alignment of our solutions to Enterprise customer needs Develop and maintain relationships with key Enterprise customers and partners Stay up-to-date on the latest technologies and trends in our industry Skills We’re Looking For 5+ years in one of the following areas: data replication, data practitioner, data operations, analytics, sales engineering, or related technical field Proven ability to work cross-functionally to support large enterprise customers Strong technical background covering data replication, cloud infrastructure, data replication technologies, and/or database administration Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Bonus Skills Experience with Oracle, SQL Server & SAP databases Basic python competency and advanced SQL knowledge Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise This position qualifies for Fivetran’s incentive plan, and it’s common for employees in this role to achieve the total on-target earnings. As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in-person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process. OTE (On Target Earning) $197,516.46 — $273,115.47 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote Workplace: Remote ABOUT US Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. ABOUT THE TEAM The SABR team owns the top layer of request processing for product discovery. We own the service that first receives product discovery requests (autocomplete, search, browse & recommendations) & executes the entire business logic that drives product discovery. That service also functions as a gateway to parse incoming user requests, orchestrate calls across the internal services that do the ranking and retrieval, interpret their responses, and assemble the final response the customer sees. We also own the public configuration APIs customers use to control how discovery behaves, and the MCP layer that exposes all of it to AI agents. Our team owns both platform & product components: Because of the positioning of our services, we take part in every architectural decision of our core product offering. At the same time, our goals are heavily influenced by direct customer feedback, because all product discovery-related features are either implemented in or integrated with our services. All of our services are public APIs, so interface design and backward compatibility are a constant part of the job. But most of our attention goes to keeping them fast and up: we serve up to 15k RPS, fan out to many internal services on every request, and are expected to stay available and degrade gracefully when any of them fails or slows down. The work is distributed systems in practice rather than in theory: request orchestration, failure isolation, caching, latency budgets, capacity planning, and the observability to know what is actually happening in production. The team is small enough that engineers own problems end to end, from design through on-call. ABOUT YOU You're a senior engineer who wants to own features end to end, not just close tickets. You've built and run production Python services, ideally high-traffic or latency-sensitive ones, and you've been on-call for them. You think in trade-offs: latency versus cost, a quick fix versus a durable one, a new parameter versus a public API customers can't afford to see break. You can take a feature from a rough problem statement to a design, ship it, and then make sure it behaves in production. You're comfortable leading a project with one or two other engineers and helping teammates grow along the way. When a problem is only partly defined, you ask the right questions to pin it down. When you meet an unfamiliar protocol or system, you read the spec and work out how it fits. You change your mind when someone has a better argument, and you still care about your code long after it merges. WHAT YOU WILL DO - Own the design and delivery of features and components in our services. - Design and evolve public API endpoints with backward compatibility in mind, and contribute to architecture discussions for our services. - Improve performance and reliability: find latency and failure hotspots, add the observability needed to understand them, and fix them. - Take an active part in design and code review, and mentor mid-level engineers. - Work with product, solutions/support, and other engineering teams to understand customer needs and turn them into solid technical solutions - Take part in on-call for the systems you own, and lead incident response and follow-through when things break. WHAT WE ARE LOOKING FOR TECHNICAL - Solid experience building and operating backend services in production, ideally high-traffic or low-latency ones. - Extensive Python knowledge (our primary language). - Hands-on experience with observability (metrics, logs, traces) and debugging performance issues in live systems. - Experience designing and evolving public APIs that external customers depend on. - Experience designing & implementing scalable service-oriented architectures. BEYOND THE CODE - Track record of delivering projects end to end, including leading small efforts with other engineers. - Collaborative mindset: open to feedback, and willing to change your position when someone has a better argument. - Clear written communication - design docs, RFCs, postmortems. - Good judgment about trade-offs and scope. - Comfort with ambiguity and loosely defined problems. - Ownership that extends past merge, to how the system behaves in production. NICE TO HAVE - Experience with AWS - Background in search, ranking, information retrieval, or e-commerce product discovery. - Exposure to AI/LLM-facing infrastructure (MCP, agent tooling, or similar). BENEFITS 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year 🌎 Fully remote team - choose where you live 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office 💻 Apple laptops provided for new employees 🧑‍🎓 Training and development budget for every employee, refreshed each year 👪 Maternity & Paternity leave for qualified employees 🧠 Work with smart people who will help you grow and make a meaningful impact 💵 Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results TBD 📈 Stock options - offered in addition to the base salary 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Ищем Senior System Developer с сильной экспертизой в C++ и практическим опытом разработки HFT-систем и Market Making для централизованных криптовалютных бирж (CEX). Обязанности : ▫️Разработка, поддержка и оптимизация высокопроизводительной HFT-инфраструктуры и Market Making-систем.

В команду разработки СХД требуется разработчик C++ для разработки S3-шлюза, расширяющего функциональные возможности СХД заказчиков. Задачи: анализ существующего кода проекта, выявление узких мест и областей для улучшений;

Задачи: проектировать, разрабатывать и поддерживать масштабируемые и надёжные пайплайны и ETL/ELT‑процессы; оптимизировать решения для хранилища данных;

Location: Remote Spain At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The International Accelerator Engineering team is growing, and we're looking for a Senior Software Engineer to join us! We're a full-stack team located entirely in Europe within the same time zone, but culturally rooted in Silicon Valley. We directly improve the financial lives of over 20 million people shaping how Affirm builds Direct-to-Consumer products for Canada, the UK, and future international markets. We build and own various products used by our consumers, like the Affirm App and other Direct to Consumer products across international markets. We are here to make sure we reach and provide useful tools to our users so they can experience honest financial products at their fullest. Our work is agile and fast-paced, shipping new code to production for millions to use across geographies and rigorously measuring the impact it has on them. This role rewards curiosity, ownership, ability to zoom in and out, switch contexts often, also in an open contribution model, and a builder's mindset. You'll know exactly what your objectives are, you'll have what you need to hit them, and you'll choose your own path to get there, while constantly looking for ways to get AI to increase productivity on a daily basis. You'll learn quickly from experienced teammates and grow your craft on problems that matter at scale. If you want to build something new and operate it at scale – come join us! What You'll Do: You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. On-Call Rotation - There would be an on-call rotation for this role as a requirement. What We Look For: · You have a total of 4+ years of experience as a software engineer. · You are experienced in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes. · You have experience shipping web apps using declarative UI frameworks like React or Vue. - You efficiently use AI to assist you to deliver high quality products on a daily basis · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Compensation & Benefits Pay Grade - N Equity Grade - 4 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). ESP base pay range per year: €86,000 - €122,000 Additional benefits include: • Flexible Spending Wallets for tech, food and lifestyle • Away Days - wellness days to take off work and recharge • Learning & Development programs • Parental benefits • Employee Resource & Community Groups Location - Remote Spain We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: New York City Metropolitan Area; New Jersey Workplace: hybrid About the Role: The problem you'd be solving We build AI systems that enterprises run their business on. Production systems inside banks, insurers, and health systems, where our engineers embed with the client, learn the work, and own the outcome. We call them Forward Deployed Engineers and Forward Deployed Executives. These people hold design conversations with a Chief Data Officer on Tuesday and ship to production next Monday. We are hiring a People & Talent Partner to help us scale our FDE/FDX, Product, and GTM teams. Five open reqs at a time, none of them generic. We would rather you run five properly than twenty badly. Beyond filling roles, you will own the talent community strategy around Provectus, and you will build the people-operations presence for our US team locally — be the person our US colleagues come to first. Location: Hybrid, New York: 2-3 days onsite. Type: Full-time (W2). What You'll Do: Recruiting: Full-cycle hiring across the US for Forward Deployed Engineers (software, AI/ML, architects, leads), Forward Deployed Executives, Product Owners, and Business Development Managers. Intake to offer: Partnership with the hiring managers. You'll run calibration with them and bring market data when a scorecard doesn't match what exists. Architect and execute Provectus's talent community strategy in the US. Meetups, workshops, hackathons, university programs, and the AI/ML communities. You don't need to have run events before. You need to want to help with that, and there's a budget and support from marketing when you do. US hiring strategy. Talent market intelligence, compensation benchmarking, and how we position Provectus against the companies competing for the same engineers. People operations for the US team. You'll be the on-the-ground people partner for our US-based colleagues, working with the Head of People Operations: Onboarding of US hires. First point of contact for US employees on benefits, time off, policies, and day-to-day people questions. Support for the performance review cycle for US-based staff: scheduling, collecting feedback, tracking outcomes. Team engagement and onsite days — the rhythm that makes a hybrid New York team feel like a team. What's the split between Recruiting and HR? 70/30 What You'll Bring: 4+ years of full-cycle recruiting experience in a fast-paced technical environment, ideally at an AI, cloud, or consulting firm Proven track record of sourcing and hiring senior technical profiles — AI/ML engineers, software engineers, architects, or consulting leaders Demonstrates personal AI adoption — uses AI tools as part of their recruiting workflow, not just aware of them Exposure to HR generalist or people-operations work — onboarding, benefits, employee relations — or a clear appetite to build it. You don't need to have been an HRBP. Excellent communication and stakeholder management skills; comfortable partnering with C-level and senior technical leadership Highly organized, self-directed, and comfortable with ambiguity in a distributed, global team Commitment to Provectus's core values: Obsession, Ownership, Transparency, and Partnership Based in the New York / New Jersey area and able to be onsite [2-3] days a week Nice to have: Experience building talent community: events, meetups, professional networks, or university programs Familiarity with US benefits administration, onboarding, and experience with an HRIS. Where this goes: This is a growing US function. The person who does this well takes on more of the community mandate, more senior searches, a deeper people-partner role as the US team grows, and a path toward owning the US talent function. We'll talk about that trajectory. What We Offer: Direct impact on Provectus's growth in the US market with direct visibility to leadership. Access to the Provectus Learning Hub, Claude Code certification support Collaborative culture that rewards ownership, curiosity, and continuous learning Full-time W2 model. Base $150k- 170k. Final offer reflects experience, skills, and market data. Health, vision, dental, disability, and life insurance; 401(k) plan; unlimited vacation. About Provectus: Provectus is an AWS Premier Partner and an Anthropic Strategic Partner working at the front edge of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable outcomes through bespoke applications, managed services, and advisory work. We focus on Financial Services & Insurance and Healthcare & Life Sciences, with offices across North America, LATAM, and EMEA. Hiring Process: 30-45-minute call with the Head of Talent Acquisition 30-minute call with the Head of People Operations On-site meeting with the CEO

Location: San Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the role Rain is building payments and stablecoin infrastructure, and our data platform holds some of the most sensitive data a company can have: cardholder, ledger, and partner data across many countries. We’re looking for a Data Platform Engineer who has built and run data platforms for both batch and streaming to own the platform our data team and engineering pods depend on: the warehouse, streaming infrastructure, orchestration, BI, ML platform, access controls, and the tooling that makes all of it safe, reliable, and cost-efficient. Your product is the platform, and your customers are the engineers, analysts, and scientists who build on it. You’ll own the platform layer: the data and ML platform, the infrastructure for ingestion and processing in batch and streaming, data governance and security compliance, the warehouse, and the analytics and BI tooling. Data Engineers, Analytics Engineers, Data Scientists, and engineering pods build on it to run experiments, operate reliably, and turn data into decisions. At Rain, we’re builders who use AI to automate repetitive work. That changes what data roles look like: where a data scientist used to only analyze and an analyst used to only build dashboards, here everyone models data, writes production-quality code, and automates their own workflows. You own the result, including checking what the AI produces. For this role, that means automating access, deploys, and governance so the platform runs itself and stays compliant. What you’ll do - Design and build data platforms at scale for both batch and streaming, choosing storage, compute, and processing based on latency, cost, and reliability needs. - Own the infrastructure for BigQuery, streaming (such as Pub/Sub or Kafka, and Dataflow or Flink), Dagster+, and Lightdash as code, including environments, CI/CD, and deploys. - Own access and governance: IAM, policy tags, PII contracts, masked and no-PII access paths, and audit logs, across tables and streams. - Provide ML platform capabilities: feature pipelines, training data, and serving real-time features to fraud and risk models. - Build platform tooling: templates, CI checks, schema registry and data contracts, catalog, and lineage. - Monitor platform reliability, latency, and cost, and fix what is slow or expensive. - Design how backend events and CDC land in the warehouse, and advise backend pods on event design. - Respond to platform incidents and access requests, and automate the repetitive ones away. What you’ll need - At least 4 years building and running data platforms in production on a cloud provider such as GCP, AWS, or Azure, in both batch and streaming: you have operated infrastructure for each, not only one. - Experience designing data platforms at scale: storage and compute choices, multi-team access, reliability, and cost. - Experience operating cloud data warehouses and real-time stores such as BigQuery and ClickHouse. - Experience operating streaming infrastructure such as Pub/Sub, Kafka, Dataflow, or Flink, including retention, schema evolution, replay, and lag monitoring. - Experience operating batch infrastructure: orchestration (Dagster or Airflow), CI/CD, and environments. - Infrastructure as code with Terraform. - Experience with access control and data governance, such as IAM, column- or row-level security, and PII handling. - Strong Python and SQL. - Proficiency using AI tools to learn new skills and accelerate your work, while taking responsibility for checking the output. Nice to have - ML infrastructure experience, such as feature stores, Vertex AI, or model serving. - Experience in regulated environments such as payments, banking, PCI, or SOC 2. - Experience with data catalogs and lineage tools. - Experience with cost optimization in BigQuery, ClickHouse, or Snowflake. - Experience with CDC tools such as Datastream or Debezium. Things that enable a fulfilling, healthy and happy experience at Rain: Flexible time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the team Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a  Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Experience training and deploying models for production is a nice to have. Base Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the team Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a  Senior Software Engineer to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do · You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. · You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. · You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. · You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. · You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. · You will help develop talent on your team by providing feedback and guidance, and leading by example. What We Look For · You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. · You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. · You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. · You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. · You have strong verbal and written communication skills that support effective collaboration with our global engineering team. · This position requires either equivalent practical experience or a Bachelor’s degree in a related field. · Experience training and deploying models for production is a nice to have. Base Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $225,000 USA base pay range (all other U.S. states) per year: $173,000 - $233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Intellias Meet your recruiter Jeison Arturo Rios Castano jeison.rioscastano@intellias.com https://www.linkedin.com... Vacancy details Test Engineering Manual Test Engineering Lead Lead Colombia, Poland, Portugal, Spain, United States Remote APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! What project we have for you This QA leader currently manages a small offshore mostly manual QA team and provides automated testing infrastructure, AI test case generation and synthetic healthcare test data generation to the engineering teams. I was having him transition that offshore team into an SDET team focused on enabling test automation while helping the engineering team take on all test case creating outside of end-to-end testing. What you will do Offer and explain complex ideas at a level appropriate to the audience, considering their experience and background Review and analyze product requirements to ensure that they are testable Decompose and estimate stories and specifications into tasks and allocate them to team members Plan implementation of the features and achieve the overall objectives, considering relevant dependencies and risks Design and support test strategy, test plans, and required testing documentation Actively apply experience-based test design techniques Support and update traceability matrices and testing guidelines per projects Perform functional and non-functional testing according to project needs Analyse test results, report on the product’s quality and present the information to the stakeholders Lead problem-solving efforts to identify and resolve defects Lead, mentor, and train the testing team What you need for this Required skills: 6+ years of hands-on experience in Software Quality Assurance, including leadership/managerial experience Experience working in an agile development environment and familiarity with agile methodologies Excellent knowledge of testing types such as functional, change-related, and non-functional Knowledge Test Management Tools such as TestRail, Zephyr, or Xray for organizing and tracking test cases, test runs, and defects Network protocol analyzers like Wireshark or Fiddler to inspect network traffic and troubleshoot network-related issues Solid practical experience in testing APIs using Postman, Swagger, DevTools, Ready API, etc. Experience with version control systems and CI/CD tools (git, GitLab Pipelines/Jenkins or similar), Linux CLI Excellent problem-solving and critical thinking skills, with the ability to troubleshoot and debug complex issues Strong communication skills, with the ability to effectively communicate testing status, issues, and recommendations to technical and non-technical stakeholders Good level of autonomy with many assignments. Possesses at least basic job prioritization skills Experience in arranging on-the-job training, coaching, and mentoring of team members Hands-on experience delivering products in Healthcare or a related domain – e.g., pharma, medical devices, nutrition or fitness/sports applications Understanding of the specifics of working with health-related data and regulated environments (e.g., GDPR, HIPAA, MDR) is a strong plus Will be a plus: Experience with SQL and NoSQL Experience with cloud-based testing and deployment, AWS/Azure/GCP services Knowledge of continuous integration and delivery (CI/CD) practices Experience with performance testing and analysis An Associate, Professional or Specialty-level certification from one of our strategic technology partners — AWS, Microsoft, Google, Databricks or Anthropic — aligned with your tech stack. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the team ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm. ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning. As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes: Feature creation, exploration, and serving Data storage, availability, and visibility Offline backfilling infrastructure and platform improvements This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals. We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company. What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. Base Pay Grade - N Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $153,000 - $213,000 Location - Remote Canada This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Engineering team The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering. About the team ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm. ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning. As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes: Feature creation, exploration, and serving Data storage, availability, and visibility Offline backfilling infrastructure and platform improvements This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals. We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company. What you’ll do You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks. You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. · Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Base Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - $225,000 USA base pay range (all other U.S. states) per year: $173,000 - $233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.