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Job description: Build and evolve the customer-facing interfaces of an AI-powered vacation rental management platform: scalable UI components, design-system libraries, and frontend integrations with REST and WebSocket backends.

Грейд: Middle/Senior. Стек: Docker, Kubernetes, GitHub Actions, Terraform, Ansible, Prometheus, Grafana, ELK Stack.

Задачи: — Контроль качества frontend и backend систем — Разработка стратегий API и интеграционного тестирования — Создание тест-кейсов и тест-планов — Проверка данных в базах данных — Выявление, анализ и документирование ошибок — Совершенствование QA процессов — Подготовка тестовых сценариев и документации с помощью AI Требования: — Глубокие знания QA методологий и тестовых процессов — Опыт тестирования API с использованием Postman — Навыки работы с SQL и тестирования на уровне базы данных — Понимание backend архитектуры и интеграций — Опыт тестирования веб и eCommerce платформ — Владение Jira, X-Ray, Azure DevOps, TestRail или Aqua — Знание Agile / Scrum — Свободное владение бизнес-английским (C1) — Опыт работы с AI инструментами, такими как Claude Условия: — Медицинская страховка — Ежегодный оплачиваемый отпуск от 21 дня с возможностью увеличения до 29 дней — Курсы и сертификаты Udemy — Программы карьерного коучинга и профессионального развития — Работа в международной команде — Услуги удалённого спортивного тренера и программы здорового образа жизни

About the Role • At Abnormal AI, we are on a thrilling mission to safeguard the world's largest enterprises against a vast range of relentless email attacks.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW As a Legal Engineer Associate, you’ll play a critical role in ensuring our law firm and in-house customer users are set up for success. You will deliver tailored training, create education strategies that align with legal workflows, and serve as a trusted guide to customers adopting Harvey across practice groups and legal departments. Your legal training and experience will allow you to connect deeply with our users, helping them to translate their own legal acumen into productive and innovative use of Harvey’s platform. You’ll work across a diverse range of clients, primarily mid-market and enterprise customers, and partner closely with Sales, Customer Success, and Product. This is a high-impact, customer-facing role ideal for someone with a few years of legal practice experience and a passion for shaping the future of legal work.   WHAT YOU'LL DO - Deliver engaging and customized product training to attorneys at leading law firms and corporate legal departments - Partner with Account Executives and Customer Success Managers and more senior Legal Engineers to understand client goals to design and deliver enablement sessions that maximize value - Support onboarding, expansion, and renewal efforts by ensuring users are confident and proficient with the platform - Gather feedback from training sessions and pass insights to Product and Engineering teams to inform development - Build scalable training content, including documentation, videos, and quick reference guides tailored to practice areas - Evangelize Harvey internally and externally as a leader in AI-powered legal technology   WHAT YOU HAVE - A J.D. and typically 1–3 years of relevant practical experience in legal practice, legal technology or a related role. - Practical experience building agents, prompts or workflows for legal use cases, plus the legal judgment to know when you need guidance. We are interested in what you have built and how you tested and improved it. - Clear communication, curiosity about AI and the ability to become fluent in a product quickly through hands-on use. - An appetite for frequent customer interactions, repeatable delivery and detailed work on useful customer resources. - Strong follow-through and comfort incorporating direct feedback. We welcome candidates from a range of schools, employers and routes into legal work.   COMPENSATION $180,000 - $250,000 USD OTE 75/25   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-LS1   Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Workplace: remote 🌎 About Us TeamSnap is made up of innovators, technologists, builders, and problem-solvers shaping the future of youth sports. We’ve been setting the standard in youth sports technology since we were founded in 2009.  We hire for big ideas and tiny egos — which is part of how we landed on Outside Magazine's Best Places to Work, Built In's 100 Best Remote-First Places to Work and, for several years running, Sports Business Journal’s Best Places to Work in Sports.   TeamSnap is seeking a Senior Frontend Engineer interested in working across the stack to join our fully distributed engineering team to help us continue our impressive growth from 2+ million daily active users to beyond! Our stack primarily includes Node.js, TypeScript and React. As an engineering team, we design and build scalable systems using a service-oriented and event-driven architecture that serve millions of daily users and some of the largest youth and amateur sports organizations in the world. Our team values collaboration in a remote culture, so we regularly participate in pair sessions and virtual team swarms to stay connected and improve the team and company. What You'll Do: Develop engaging experiences for our millions of users across our web applications. Design and implement scalable web apps and features, integrating these into an evolving unified product and system architecture. Brainstorm and evaluate new product features in collaboration with the product and UX team. Collaborate and pair with other developers to develop solutions and teach technical skills. Contribute to our development standards within the team and across engineering to ensure code quality, adherence to standards, and identify opportunities for improvement Champion and implement automated testing practices to uphold the dependability and stability of frontend applications, while also taking ownership of the overall reliability of the team’s web experiences. Actively engage in on-call responsibilities and contribute to incident management efforts. Evaluate and test new technologies to help TeamSnap move faster or serve our users more effectively. Help teammates overcome obstacles, resolve blockers, and complete work tasks. What Will Set You Up for Success: 5+ years of relevant experience, leading large projects on high-scale web applications as a software engineer Proficient in frontend development with React, Vue, Angular or similar, along with strong TypeScript and JavaScript fundamentals. Experience with web performance, accessibility, and cross browser compatibility. Hands-on experience building web clients at scale that consume APIs and services. Successfully delivered complex projects including debugging problems that may span a number of systems. Experience consuming APIs, event streams, webhooks, etc. Experience working within and towards a distributed system. Extra points if you’ve built web experiences for livestreaming, media, checkout, advertising, or subscriptions Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here.   Compensation We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $150,000, inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location.  🖥 Location TeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones. We're always expanding, but we can't currently hire in Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota, West Virginia, or Utah. We can only hire permanent US residents at this time. 🚀 Opportunities to Grow We work hard on a culture built on trust, accountability, and inclusion — one where you can take on more, make a lasting impact, and have some fun doing it. 🎩 Total Rewards Remote-first since 2009 Flexible PTO and parental leave 100% premium coverage of medical, dental, and vision for you and your family 401(k) to invest in your future $1,500 annual learning and development reimbursement Travel to all-company meetings and team events Generous home office allowance TeamSnap swag when you start, plus a $50 store credit on every work anniversary Monthly health and wellness reimbursement, and more TeamSnap Total Rewards 🏆  Award-winning Culture At TeamSnap, you're not a culture fit – you're a culture add. Read our Culture Playbook to see how we play, what we ask of each other, and what drives us. 🧡 Inclusion and Diversity Creativity and innovation don't come from cookie-cutter teams. We hold ourselves accountable for building a culture where everyone is valued. Need any accommodations during the interview process? Just ask. We are an Equal Employment Opportunity Employer. AI Notice We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes or assessing responses. These tools assist our recruitment team; they don't replace human judgment, and final hiring decisions are made by people. Contact us if you'd like more information about how your data is processed.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We believe powerful AI can compress a century of scientific progress into a decade. Bringing Claude to scientists and engineers is a big part of building toward that future. Claude has already helped uncover a novel enzyme system , formalize Fermat’s Last Theorem , design more efficient quantum circuits , and compute new results in theoretical physics — and this is just the beginning. You’ll figure out what scientists and engineers need from Claude and build it from 0→1. You’ll be a technical leader with a high degree of autonomy, helping clear the path to harnessing scientific AGI. You’ll work with internal experts and industry partners. Initiatives like our AI for Science Program will connect you with researchers we support in high-impact work across scientific fields. Key responsibilities Build products that unlock scientific discovery Partner with product management, design, and go-to-market to make complex workflows, like modeling and simulation, simple to run with Claude Work closely with research to make models better at science and engineering Spend time with users in academia and industry to decide what to build next Own technical design and delivery end to end, shipping product quickly rather than just executing a spec Minimum qualifications Software engineering experience, including owning the technical design and delivery of products Experience building products from 0 to 1 in fast-moving environments, and setting technical direction with limited precedent to lean on Experience building AI products, and knowledge of what it takes to turn model capabilities into applications people actually use Ability to think holistically about user experience and craft tools that are a pleasure for scientists and engineers to use Comfort working directly with technical domain experts and customers, and turning what you learn into product Enjoyment of solving hard problems together with researchers, scientists, and other engineers Preferred qualifications 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Background in math, physics, materials science, mechanical or electrical engineering, or another science or engineering field Experience building software for scientists or engineers, such as CAD, simulation, electronics design, or scientific computing tools Experience as a founder or early engineer at a company building tools for scientists or engineers Experience working with research teams to improve domain-specific model capabilities, including evaluation frameworks The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: São Paulo, Brazil; Buenos Aires, Argentina; Bogotá, Colombia New opportunities in Latin America! 🟢 Dev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects. We invite a Senior Android Software Engineer with proven technical and team leadership experience to join our team. You’ll be hands-on throughout the full software development life cycle – designing, coding, testing, and maintaining complex Android applications for a leading payments technology company. In an agile environment, you’ll collaborate with cross-functional teams, guide and coordinate developers, drive engineering best practices, ensure code quality, and support technical decision-making. 🟩 What's in it for you: Work with a Fortune 500 fintech leader driving innovation in payments across 100+ countries Own the full SDLC, delivering secure, high-performance Android applications from design to deployment Combine hands-on development with technical and team leadership, mentoring engineers and driving successful delivery ✅ Is that you? 7+ years of Android development experience Previous experience as a Team Lead, Tech Lead, or in a similar leadership role Expertise in native Android development with Java and Kotlin Strong knowledge of MVVM and modern Android architecture patterns Hands-on experience with Android libraries and integrations Knowledge of secure coding practices, including build obfuscation and encryption Experience with encryption frameworks and utilities like HTTPS, TLS, SHA-256, and Cipher Block Chaining Proven ability to lead technical discussions, guide and mentor developers, coordinate team activities, and support technical decision-making Ability to prioritize tasks, manage competing priorities, and support efficient team delivery Experience conducting code reviews and maintaining engineering standards Excellent communication skills for documentation, planning, and cross-functional collaboration Strong critical thinking, problem-solving, and attention to detail High ownership, resourcefulness, self-motivation, and a collaborative mindset Desirable: Experience with third-party device integration (watches, payment terminals, etc.) Understanding of client-server full-stack architecture Understanding of Pub/Sub and Producer/Consumer messaging patterns 🧩 Key responsibilities and your contribution In this role, you’ll drive Android development, combining technical expertise and leadership to deliver high-quality solutions. Develop, maintain, and enhance Android applications based on business needs and technical designs Own feature development from requirements to delivery, ensuring performance, security, and reliability Work with developers, architects, testers, and analysts on technical designs for feature groups Collaborate with product owners, BAs, and stakeholders to refine requirements and break down tasks for efficient delivery Coordinate team activities, prioritize tasks, and ensure team alignment to support timely delivery Guide and mentor developers, helping the team solve complex engineering challenges Contribute to technical decision-making and promote consistent engineering standards across the team Conduct code reviews and ensure 100% code review coverage Write unit and functional tests; assist QA with reviewing, creating, and delivering automation tests Our next steps: ✅ Submit a CV in English — ✅ Intro call with a Recruiter — ✅ Interview — ✅ Signing the Contract Interested? Find out more: 📋 How to Join Us 💻 LinkedIn Page 📈 Our website 💻 IG Page By submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data . I agree to have my Personal Data being stored and processed by Dev.Pro.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin - TX (Austin Only) About Engineering at Cloudflare Cloudflare’s Engineers build and operate the software that helps power 25+ million Internet properties and millions of businesses around the world. Across our engineering organizations, we have opportunities for high caliber, curious and empathetic people to take on big challenges and build some of the best skills in the industry. We’re looking for talented team members to help build high-growth products, help scale our expanding network, build tools to improve availability, performance, uptime, and response times, and make systems failure-resistant and ready-to-scale. Cloudflare is a system spanning the globe, on a mission to make the Internet better, safer, and more powerful every day. As a Software Engineer at Cloudflare, you’ll work on the code that runs close to the end user, runs at a massive scale, and is deployed to 330+ cities around the world. Role Summary We are looking for a talented Systems Engineer to join the Load Balancing team. You will work on a range of microservices written mainly in Go. Technologies we use include Docker, Go, PostgreSQL, Redis, gRPC, Kafka, Clickhouse and the usual Unix/Linux tools and workflows. We strive to build reliable, fault-tolerant systems that can operate at Cloudflare’s scale. You will join a team of bright, hard-working, and supportive engineers who are passionate about their craft, and you will be comfortable operating in a fast-paced but sane work environment. You can learn more about our product and the work our engineers do on our blog: https://blog.cloudflare.com/eliminating-hardware-with-load-balancing-and-cloudflare-one/ https://blog.cloudflare.com/extending-local-traffic-management-load-balancing-to-layer-4-with-spectrum/ https://blog.cloudflare.com/load-balancing-monitor-groups-multi-service-health-checks-for-resilient/ Role Responsibilities Design, implement, and maintain the software systems that comprise Cloudflare’s Load Balancing product. Participate in all stages of the software development lifecycle, from designing and documenting systems to writing code, automated tests, and monitoring production deployments. Collaborate with internal teams, including security, network engineering, SRE, and product management, to design scalable solutions to difficult technical problems. Review work from your peers throughout all stages of the development lifecycle to ensure high-quality, maintainable code. Mentor team members and work with support teams to ensure customer delight and bring out the best in everyone. Debug issues in complex systems and contribute to the maintenance and improvement of operational health. Work with a wide range of technologies and programming languages, including Go, Rust, and Typescript, as well as various databases (SQL and No-SQL), Docker, and Kubernetes. Role Requirements First and foremost curiosity and critical thinking 3+ years of relevant professional experience with a technology company Strong programming skills in Go, Rust, C++, or a similar systems-level language Experience building and operating distributed systems Experience with modern Unix/Linux development and runtime environments Experience with monitoring, alerting and debugging high volume production systems Experience with databases (we use PostgreSQL and Clickhouse) Experience with monitoring and logging tools like Prometheus and Grafana. Experience with containerization and orchestration technologies, such as Docker and Kubernetes. Strong interpersonal and communication skills, demonstrating empathy, teamwork and a sense of ownership. Compensation Compensation may be adjusted depending on work location and level. (This role is aligned with an L3 level) What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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. 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. You will be matched with a team after completing the interview evaluation process. Your recruiter will work closely with you throughout the process to understand your interests and experience to find the strongest team fit. What you’ll do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. 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 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 contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What we look for You have a total of 1.5+ years of experience as a software engineer. You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin. You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. 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 posting is for an existing vacancy. Base Pay Grade - L Equity Grade - 5 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.) CAN base pay range per year: $133,000 - $183,000 CAD 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. 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. You will be matched with a team after completing the interview evaluation process. Your recruiter will work closely with you throughout the process to understand your interests and experience to find the strongest team fit. What you’ll do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. 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 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 contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What we look for You have a total of 1.5+ years of experience as a software engineer. You have experience designing, developing and launching backend systems and are proficient in one of Python or Kotlin. You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. 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 - L 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 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: 165,000 - 225,000 USD USA base pay range (all other U.S. states) per year: 146,000 - 206,000 USD #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: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Security at ClickUp Security at ClickUp is engineering-focused. We partner with teams across the company to protect our platform, our internal systems and our customers through secure design, defensive controls, detection and response. We build tooling and automation, including AI-powered workflows, to turn what we learn into lasting improvements.   About the team Infrastructure Security at ClickUp secures the cloud, compute, network and access layers underneath ClickUp: a multi-account AWS organization, a large Kubernetes fleet, infrastructure managed as code and the identity systems engineers use to reach production. We are a small team that works agentic first, using AI agents we build and maintain ourselves to multiply what a team our size can cover.   You will support this mission by thinking like a developer, breaking down a problem that we face, testing a method to approach it with automation, and implementing solutions that yield compounding value. Your skills to uncover threat indicators will be the foundation of this work.   The role - Architecture, proposals and reviews. Act as an initial reviewer on infrastructure proposals and designs from engineering and non-engineering teams such as business systems and go-to-market. Write our own security proposals and review the changes that follow. Translate security requirements and agent findings into clear guidance for less-technical partners, and bring their needs back into our designs. - Agentic security tooling and agent infrastructure. Build, evaluate and maintain the agents behind our reviews, triage and investigations, and help run the sandboxed, observable infrastructure they operate on. - Detection, investigation and response. Lead cloud and infrastructure alerts and incidents through to resolution and root cause, working alongside AppSec and incident response on incidents that span both. - Identity, access and least privilege. Move people, CI and services toward least privilege and just-in-time access across our cloud organization and the tooling engineers use to reach production. Deliver fixes as secure building blocks that teams adopt by default. - Compute, network and pipeline security. Harden our container, serverless and virtual machine workloads, our network perimeter and our CI/CD pipelines, and add checks so each class of issue is caught automatically next time. - Continuous review and audit evidence. Move vulnerability, access and attack-surface reviews from point-in-time checks to continuous monitoring that also produces evidence for our infrastructure controls. Qualifications - 5+ years in security engineering, cloud infrastructure or SRE, with at least 2 years securing AWS at organization scale. - At least a year of agentic development experience: building agent skills and tools for real engineering work, and developing and maintaining the development harness they run in, from configuration and permissions to integrations, evaluations and cost controls. You can secure agents against prompt injection, over-privileged tools and unaudited actions, and explain how agents fall into the confused deputy problem and the lethal trifecta. You validate agent output against evidence and decide where human review is required. - Deep AWS IAM experience: IAM Identity Center or an equivalent SSO model, SCPs, permission boundaries, resource and key policies, cross-account trust, and the ability to prove a policy's effect with simulation rather than inference. - Production Kubernetes security on EKS or similar, covering RBAC, workload identity, network policy, admission control and container runtime hardening. - AWS networking for security: VPC design, endpoints and endpoint policies, network and DNS firewalls, egress control, and WAF. - Fluency with infrastructure as code such as Terraform, including reusable patterns, multi-environment rollouts and reading plans for security impact. - Experience with CNAPP, SIEM or runtime security tooling and the cloud detection sources around it, such as CloudTrail, GuardDuty and Access Analyzer. - Experience investigating cloud and infrastructure security events: correlating cloud audit, Kubernetes, identity and network logs to establish what happened, its blast radius and its root cause. - A track record of reviewing architecture and writing design proposals, guiding teams toward secure designs through conversation rather than mandate, mentoring others through reviews, and turning a review into a change another team is glad to make. - Python, Go or TypeScript for security automation. - Clear written and verbal communication, including explaining technical risk to non-technical partners. Most of our work with other teams is asynchronous, so much of the job is a well-evidenced finding, proposal or design note that another team can act on without a meeting. Desirable - Experience using AI agents in a SOC or other incident response workflows. - Sandboxed runtime experience with gVisor, Firecracker or Kata. - Offensive security or red-team experience in cloud and Kubernetes environments. - Policy engines such as OPA or Rego. - Supporting audits like SOC 2 with automated evidence collection.   Our stack AWS, Kubernetes, infrastructure as code, CI/CD with federated identity, an enterprise identity provider, observability and cloud security platforms, and AI agent tooling. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Remote, US MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. MinIO is looking for a hands-on technologist who likes building things and explaining how they work. You don't need a curriculum background; we'll teach you that. You will'll turn AIStor, across objects, tables, files, and agent memory, into labs, videos, and self-paced courses for a wide range of technical audiences: data engineers, developers building agents, AI infrastructure engineers accelerating performance with MemKV, storage administrators, and the partner and internal solution architects who support them. Most of your teaching will be recorded, with live sessions about once a month. This role has real variety. On any given week, you might be building a hands-on lab, standing up an agent memory demo, recording a training video, turning engineering documentation into a teachable module for partners, or adapting a core course for a specific customer deployment. You enjoy that variety. You're as comfortable in front of a camera as you are at a command line. You will collaborate closely with engineering and product marketing. You welcome the freedom and opportunity of being part of a startup and have the self-discipline to identify needs and get things done without waiting to be asked. You will be encouraged to help shape the strategy that the MinIO team executes. Experience in a solutions architect or other customer-facing technical role is a strong plus — it helps you understand how customers deploy and operate storage in production and how to make training land in that context. Experience with competitive software-defined storage platforms is also a plus. Strong oral and written communication skills are essential. What You Will Do Build and maintain courses for AIStor administrators and operators, covering installation, configuration, management, and troubleshooting, and keep them current as the product changes Build curriculum for AIStor Memory and agentic AI use cases, turning orchestration and memory concepts (context assembly, agent state, retrieval) into practical, hands-on training Turn engineering documentation and demos into training modules for partners Adapt core courses for specific customer deployments and industries Build hands-on lab environments with Terraform, Ansible, and Docker, and test them end to end before release Write course content as code: Markdown in git and GitHub, with branches and pull request review Record and edit short demo and training videos for MinIO Academy, YouTube, and LinkedIn Deliver live and recorded training sessions for internal teams and partners Use approved AI tools such as Claude Code to speed up authoring, testing, and review Your Skills and Experience Working proficiency in Linux Demonstrated ability to turn engineering material (documentation, specs, demos) into teachable content 5+ years in a solutions architect or equivalent customer-facing technical role 3+ years of experience with software-defined storage, cloud storage, or Kubernetes; hands-on experience with MinIO or competitive platforms (Vast, Cloudian, Weka) is a plus 1+ years of experience with agentic AI infrastructure (e.g., agent memory/orchestration platforms such as LangChain/LangGraph, Mem0, Letta, AWS Bedrock AgentCore, Google Vertex AI Memory Bank) or memory/vector infrastructure (Pinecone, Weaviate, Redis) Experience teaching live and on camera Comfort with Terraform, Ansible, Docker, Python, and related tooling 1+ years building and maintaining workflows in git and GitHub Experience with AI-assisted development tools such as Claude Code Previous experience with curriculum development or formal training delivery What We Offer Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: Remote - Argentina; Brazil; Colombia; Costa Rica; Mexico Why you’ll love this role: As a Full Stack Engineer supporting the Marketing department at Newsela, you will keep our websites fast, reliable, and fresh, and build the integrations and programs that help them perform. Marketing relies on its web presence to tell our story, generate demand, and measure what works, and you will be the engineer who makes that possible. This is a hands-on role for an engineer who wants to deliver high-quality work, build strong habits around velocity and craft, and grow alongside experienced teammates. You will own assigned features from implementation through release, with guidance on scoping and design from senior engineers, and you will use AI tools as a standard part of how you build, test, and troubleshoot. You will partner closely with Marketing, Engineering, Product Management, and Product Design to turn real business needs into clear, actionable work, and then ship it. What You'll Be Doing: Deliver High-Quality Work, On Time: Write high-quality, well-tested code across our marketing websites and campaign landing pages using AI-assisted development practices to maintain high velocity and standard-setting execution. Own Features from Implementation to Release: Own assigned web features, interactive tools, and campaign landing pages through build, testing, and launch, with guidance on architecture and scoping from senior engineering partners. Maintain and Improve Our Websites: Handle the ongoing maintenance, updates, and enhancements that keep our marketing sites accurate, secure, and performing well for visitors and for the Marketing team. Build Integrations, Data Pipelines, and MarTech Connections: Help build, integrate, and maintain connections between Webflow, Marketo, Salesforce, and internal APIs to ensure accurate lead flow, data hygiene, and robust analytics tracking (GA4, GTM, RedTrack, Pendo, and DataGrail). Write Well-Tested Software: Meet the team’s quality bar with thoughtful automated and manual testing, incorporating AI-assisted development practices as part of your standard workflow. Help Validate AI-Integrated Features: Contribute to the testing and validation of AI-integrated features, with support from senior engineers on evaluation approach. Turn Ambiguity into Action: Partner with Engineering, Product Management, and Product Design to understand requirements and raise the questions that sharpen ambiguous work into clear, actionable tasks. Contribute to Reliable Systems: Follow best practices for observability and quality, and use AI tooling to help troubleshoot and resolve issues quickly. Support Privacy & In-App Ops: Assist with user onboarding and event tracking in Pendo while supporting automated compliance, consent management, and privacy workflows via DataGrail. Support Smooth Production Releases: Follow established deployment practices and monitor system stability after release so launches land cleanly. Why you’re a great fit: 2+ years of professional experience in software engineering, ideally with exposure to marketing websites, web applications, or similar customer-facing products. Full Stack & Webflow Foundation: Hands-on experience developing within Webflow supported by strong foundational front-end skills (HTML5, CSS/SCSS, JavaScript) and back-end integration capabilities. Analytics & Tagging Expertise: Demonstrated experience configuring tags, triggers, variables, custom event listeners, and data pipelines in Google Tag Manager (GTM), RedTrack, and Google Analytics (GA4). MarTech Ecosystem: Exposure to or experience working with enterprise marketing platforms (Marketo, Salesforce) and product analytics/experience tools (Pendo). Quality-Minded: Experience writing well-tested software, using version control and code review, and following established deployment practices. AI-Fluent Builder: Enthusiasm for using AI tools in your daily workflow for development, testing, and troubleshooting, along with good judgment about when to trust and when to verify their output. Privacy & Compliance Awareness: Knowledge of privacy/consent operations (such as DataGrail) and web compliance standards (GDPR, CCPA). Collaborative Communicator: Clear written and verbal communication in English, and the ability to ask sharp questions, work with non-technical partners, and turn loosely defined requests into well-scoped tasks. Self-Directed Contractor: Reliable, organized, and comfortable owning your work in a remote, asynchronous environment, with the ability to overlap with our team during Eastern Standard Time (EST) core working hours. Additional Role Details: This contract position is paid a monthly rate (USD). This person must be located in one of the following countries: Argentina; Brazil; Chile; Colombia; Costa Rica. Please note that given the nature of the position, this role will not be eligible to participate in company-sponsored benefits. The contract is estimated to last 12 months with the potential for extension, though an extension is not guaranteed. All offers of employment are contingent upon the successful completion of a background check as part of our pre-employment process. Why you’ll love working at Newsela: Work From Home: We are a fully remote company! Make A Difference: No matter your role or department, the work you do each day helps share the future of education and improves the lives of students and teachers! About Newsela: Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner. #LI-Remote

Location: United States (Remote) Workplace: Remote ROLE SUMMARY We're looking for a senior software engineer to join a high-impact team building the systems that power Temporal Cloud's customer experience at scale. Our team owns some of the most critical surface area in the product — Namespaces https://docs.temporal.io/cloud/namespaces, Audit Logs https://docs.temporal.io/cloud/audit-logs, and Export https://docs.temporal.io/cloud/export. Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on. In this role, you'll work on a new initiative, set technical direction and build systems that directly shape how customers provision, operate, and extract value from Temporal Cloud. You'll partner closely with engineers, product managers, and solutions architects to design resilient architectures, drive cross-functional execution, and raise the bar on reliability and scalability for our most critical features. If you thrive on ambiguous, high-leverage problems and take pride in building durable systems that grow with the business, we'd love to meet you. WHAT YOU’LL DO - Lead the Design of Business-Critical Systems: Own end-to-end technical design and delivery for the services that power namespace scalability, reliability, and the customer data products built on top of them. - Bridge Instrumentation and Product Value: Partner with analytics and product engineers to ensure what gets collected actually powers meaningful customer insights; translate business questions into durable event schemas that outlast the feature that introduced them. - Architect Data Pipelines for Scale and Correctness: Define and evolve our data pipeline architecture for high-throughput usage and operational data; make principled tradeoffs across data freshness, query cost, tenant isolation, and fault-tolerance. - Drive Data Quality as a First-Class Concern: Establish schema contracts, pipeline-level anomaly detection, and alerting for silent failures — holding the line on data correctness before bad numbers reach customers. - Raise the Engineering Bar: Set quality standards through code and design reviews; introduce patterns and tooling that improve maintainability, observability, and incident response across the team. - Mentor and Multiply Impact: Grow the engineers around you, unblock execution, and foster a culture of ownership, learning, and pragmatic excellence. - Improve Developer and Customer Experience: Identify opportunities to streamline customer flows via automation, better tooling, and targeted platform improvements that reduce friction and support load. TECHNOLOGY STACK - Primary Language: Go - Data Storage: PostgreSQL, Redshift, S3, Google Cloud Storage, Azure Blob Storage - Data Warehouse: Snowflake, Databricks, Clickhouse, Big Query - Data Processing: Kinesis, Firehose - Infrastructure: Kubernetes - Core Framework: Temporal (of course 😉) WHAT YOU’LL BRING - Deep experience designing and delivering production-grade backend systems in cloud environments, with direct ownership over architecture and operational outcomes — including what happens when things go wrong. - Strong proficiency in at least one systems or backend language (Go preferred), with the ability to navigate large codebases and drive technical decisions with confidence. - Hands-on experience building and operating distributed systems: concurrency, reliability, scaling, consistency, and failure handling in production. - Solid experience with data pipelines and storage systems (Postgres, Redshift, Kafka/Kinesis, S3-compatible storage, Clickhouse) and a track record of ensuring correctness and traceability at scale. - Experience with production operations: observability, incident response, performance tuning, on-call readiness, and continuous delivery. - Ability to work effectively across functions — translating ambiguous requirements from product managers and solutions architects into clear, executable technical plans. - Strong written and verbal communication: you write crisp design docs, align stakeholders on tradeoffs, and can explain a complex system to someone who didn't build it. - A builder's mindset: you enjoy simplifying complex workflows, improving tooling, and leaving systems better than you found them. WHAT YOU CAN EXPECT - High-impact ownership over systems tied directly to revenue, customer lifecycle, and platform scalability - Collaborative engineering culture focused on quality, pragmatism, and measurable outcomes - Exceptional technical colleagues and a feedback-rich environment - Lean processes and autonomy without unnecessary bureaucracy - Strong emphasis on reliability and operational excellence—balanced with rapid iteration - A team that values mentorship, thoughtful design, and steady improvements that compound over time Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

• Create and solve realistic full-stack tasks involving user-facing features and APIs. • Trace requests and data across browsers and back-end services to judge whether an AI implementation works correctly.

Location: Intellias Meet your recruiter Carmen Beck carmen.beck@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Fullstack AI Product Engineer Middle United States Office APPLY NOW REFER A FRIEND See the impact you make as an Applied AI Software Engineer delivering production‑ready solutions from day one. What project we have for you Our client is seeking an Applied AI Software Engineer to design, build, and deliver internal tools that improve the day-to-day effectiveness of engineering teams across requirements, validation, and UX/UI functions. The engineer will develop production-ready, AI-enabled applications that integrate existing models, LLM APIs, and AI services into practical business workflows. Typical solutions may include tools that generate engineering reports from structured inputs and prompts, or video-analysis workflows that identify activities in uploaded video, capture time-stamped events, and produce concise summaries. This is an execution-focused software engineering role, not an AI/ML research or model-development position. The successful candidate will use technologies such as Python, JavaScript/React, and AWS services to build reliable end-to-end pipelines, user-facing applications, and integrations that meet enterprise quality, security, and usability expectations. Working closely with engineers and cross-functional stakeholders, the candidate will help turn operational needs into maintainable AI-enabled tools and deliver them through established development practices. This is a full-time, fully onsite position in Raymond, Ohio, performed five days per week during standard business hours. What you will do Independently engage with requirements, validation, UX/UI, and other engineering stakeholders to understand current workflows, pain points, process gaps, and opportunities for automation or AI-enabled improvement. Elicit and clarify ambiguous business needs; translate them into practical problem statements, user journeys, functional requirements, acceptance criteria, technical designs, and incremental delivery plans. Assess solution options and independently recommend appropriate architecture, AI services, cloud platforms, frameworks, and implementation approaches based on user value, technical feasibility, security, maintainability, cost, delivery timeline, and the existing engineering environment. Design, develop, test, deploy, and maintain internal AI-enabled software tools that improve engineering productivity and operational workflows. Build end-to-end applications and pipelines that process engineering artifacts and data—including documents, spreadsheets, structured data, images, and video and produce useful outputs such as reports, summaries, classifications, etc. Integrate and orchestrate existing AI capabilities, including LLM APIs, managed AI services, computer-vision tools, and supporting libraries. This role focuses on applying existing models and services rather than training or developing foundational AI/ML models. Develop maintainable backend services, APIs, data-processing logic, and automation primarily in Python; contribute to JavaScript/TypeScript and React-based user interfaces where needed. Create prototypes or proof-of-concepts when useful to validate technical feasibility and user value, then evolve validated concepts into secure, reliable, supportable production solutions. Establish appropriate AI-output evaluation and validation methods, including test cases, structured output controls, error handling, observability, logging, and human review where the workflow requires it. Collaborate closely with cross-functional teams throughout discovery, implementation, testing, rollout, and continuous improvement; communicate scope, decisions, trade-offs, status, risks, dependencies, and technical limitations clearly. Participate in technical design reviews, code reviews, testing, troubleshooting, release activities, and ongoing support; maintain clear technical documentation, user guidance, and required project records. Perform assigned duties independently and in a timely, accurate, and professional manner. Adhere to organizational policies, procedures, security expectations, and applicable quality and safety requirements. What you need for this Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, a related technical field, or equivalent practical experience. Two or more years of professional experience in software engineering, including building, delivering, and maintaining production-quality applications, services, or internal tools. Strong proficiency in Python, including writing clean, maintainable, testable code and debugging software issues. Hands-on experience integrating existing AI capabilities into software solutions, such as LLM APIs, managed AI platforms, computer-vision services, or AI libraries. Experience building backend services, APIs, data-processing workflows, automation, or system integrations. Experience developing and deploying cloud-based applications using AWS, Azure, GCP, or similar platforms. Ability to evaluate technical options and recommend practical tools, frameworks, and architecture approaches based on user needs, security, maintainability, delivery timeline, and existing team capabilities. Ability to work effectively within established architecture, coding standards, version-control practices, and software-development processes with minimal onboarding. Experience collaborating with engineering and non-engineering stakeholders to translate operational needs into practical technical solutions. Strong written and verbal communication skills, including the ability to document technical decisions, communicate trade-offs, and clearly report delivery status, risks, and dependencies. Ability to work full-time, onsite in Raymond, Ohio, five days per week during standard business hours. Preferred Qualifications Experience with AWS services; the current team primarily uses AWS, with services such as S3, Lambda, EC2, Bedrock, IAM, CloudWatch, and API Gateway potentially relevant depending on the solution. Experience with JavaScript or TypeScript and React for internal web applications. Experience applying generative AI to business or engineering workflows. Familiarity with prompt engineering, structured outputs, model evaluation, retrieval-augmented generation (RAG), and validation methods for AI-generated results. Experience working with enterprise engineering artifacts and data sources, such as Excel files, documents, video, databases, or structured and unstructured data. Familiarity with Docker, CI/CD pipelines, automated testing, infrastructure-as-code, application monitoring, and production deployment practices. Familiarity with secure development, identity and access management, data privacy, logging, and responsible-AI practices. Experience working in agile or another structured enterprise software-development environment. 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. Skills AI AWS Python

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. ABOUT THE ROLE The Teleport Cloud Platform team architects a performant and scalable cloud platform that realizes the promise of Teleport as a SaaS product. The team is focused on scalability, security, and analytics of Teleport on our Cloud platform. They build multi-cluster Kubernetes controllers, networking services, platform monitoring tools, and more. We strongly encourage you to explore our GitHub Repo https://github.com/gravitational to get a taste of what we are building.   WHAT YOU'LL DO - You will work on problems ranging from networking and performance to security and integrations with external systems. - Design, develop, and ship outstanding, high-quality products. A sample of potential projects: - BEAMS, Cloud Hypervisor-based, Kata container, agentic runtime platform - Multi-cluster Kubernetes operators for managing Teleport at scale - Zero-downtime upgrades for services with long-lived tunnels - Write most of the code in Go. - Closely collaborate with other teams at Teleport - Grow your technical expertise.   WHAT WE'RE LOOKING FOR - Willingness to work collaboratively with Teleport's engineers on coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/systems/challenge-1.md as part of the interview process. - Extensive Go experience - Strong expertise with Kubernetes, including experience writing controllers and extending Kubernetes via APIs. - Extensive experience developing scalable, reliable, and performant systems. - Strong software-related security experience and strong interest in security space. - Proficiency with AWS and other cloud services. - Linux systems engineering experience. - Networking experience. - Intellectual curiosity and a willingness to master new technologies. - Transparency, honesty, and a no-ego mindset. NICE TO HAVE - Significant contributions in Open Source is a big plus. - Knowledge of Envoy and Cilium - Cryptography engineering experience   HOW WE HIRE Our process is designed to be straightforward and respectful of your time. We skip performative rounds and focus on what matters: understanding how you think and what you can do. For this role, we use a take-home challenge that mirrors real work at Teleport — on your time, your way. You'll have support from the team throughout. 1. Zoom meeting with a Teleport recruiter. You’ll learn about the company, our products, compensation philosophy, interview process, and key requirements. 2. Zoom meeting with the Hiring Manager. The Hiring Manager will walk you through the coding challenge and answer your questions. 3. Coding challenge collaboration. The day after your meeting with the Hiring Manager, you join a Slack channel and complete a coding challenge in Go https://github.com/gravitational/careers/blob/main/challenges/systems/challenge-1.md using GitHub. The challenge usually takes about 2 weeks and ends with a Zoom meeting with the Hiring Manager and a member of the interview team to review your solution. 4. If your challenge solution meets our bar, you'll receive an offer to join Teleport. #LT-LT1   Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/