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Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Ads powers Reddit’s mission to bring community, belonging, and empowerment to everyone in the world. The Advertiser Platform organization owns ads.reddit.com, Reddit’s core advertiser-facing product. We’re looking for a mid-level frontend engineer to join our Ads Manager team. Our team includes frontend and backend engineers who build tools that help advertisers create and manage campaigns at scale. We make complex advertising workflows easier to use, with a focus on performance and reliability. In this role, you’ll own medium-sized frontend projects. You’ll help clarify requirements, propose technical solutions, and carry your work through implementation and release. You’ll make progress independently, collaborate with teammates on tradeoffs, and ask for input when you need it. Responsibilities Build intuitive, accessible interfaces that help advertisers create and manage campaigns. Partner with product managers, designers, and backend engineers to turn advertiser needs into scoped projects. Own technical design, implementation, testing, and release for medium-sized frontend projects. Communicate progress, dependencies, and risks early so partners can plan around them. Review code and document technical decisions to help the team maintain and extend its work. Improve frontend performance and reliability, address bugs, and contribute reusable components and patterns. Requirements 3+ years of software engineering experience, including 2+ years in frontend engineering. Experience building and maintaining production web applications. Ability to break down a project, evaluate technical tradeoffs, and deliver a solution independently. Clear communication and a collaborative approach to problem-solving. Experience writing maintainable code, testing your work, and participating in code reviews. Preferred qualifications Experience building advertising products, creative tools, or design systems. Experience partnering directly with product managers and designers. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k Match Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Reddit Global Days Off Generous paid Parental Leave Paid Volunteer time off #li-remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $164,200 — $229,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Colombia, Huila, Colombia; São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Engineering Manager, (Technical Team Lead) Location: Remote, Brazil, Colombia, Argentina Status: Full-time Role Overview As a Engineering Manager (Technical Team Lead) at Turing, you will be a pivotal part of our engineering leadership for AI initiatives. This is not a pure people management role. You will be expected to be hands on: able to operate on the data, organize the stack, set up infrastructure, and personally deliver a project if no one else is available. You will lead a team through a rapid iteration, startup paced environment with high expectations and short timelines, while also driving the technical vision and execution of complex projects. The ideal candidate is someone who takes ownership beyond what their role technically requires, has a track record of delivering under pressure, and is excited by the intensity of a startup environment rather than looking for a more comfortable, longer timescale management track. Key Responsibilities Hands On Technical Ownership: Operate directly on data, organize the technical stack, and set up infrastructure as needed. Be the technical fallback who can personally deliver a project if no one else is online to do it. Guide the team in architecture, design, and implementation of scalable, maintainable codebases. Build and use AI agents, and review the team's agent based work, since this role requires evaluating agent output directly rather than only reviewing human written code. Prompt Generation and Innovation: Lead innovation efforts in product features and processes. Manage idea and prompt collection and prioritization. Drive experimentation and iteration for optimal outcomes. Work Stream Assignment Across Pods: Allocate projects based on skills and performance. Prioritize tasks to meet business goals. Coordinate with cross functional teams for project alignment. Team Throughput and Task Completion: Monitor progress using metrics like velocity and cycle time. Optimize development processes for efficiency. Ensure tasks meet quality standards before deployment. Spot Reviews on Tasks: Perform quality control through task reviews. Provide actionable feedback to maintain high standards. Identify risks early and adjust processes accordingly. Identifying High and Low Performers: Conduct performance analysis through reviews and metrics. Provide mentorship, feedback, and talent management. Identify high performers for advanced roles and support development for others. People and Project Leadership Under Pressure: Lead teams through urgent, high pressure delivery schedules, not just steady state work. Push delivery timelines in a rapid iteration startup context while maintaining quality. Take direct ownership of outcomes, including being responsive when urgent needs arise. Technical Skills Expert level, hands on experience in Node.js, with React and NestJS specifically, including a deep understanding of their ecosystems, libraries, and best practices. Experience with Infrastructure as Code (IaC) and GCP, including setting up and operating cloud infrastructure directly. Ability to build and use AI agents, with enough fluency to review and evaluate a team's agent built work. Experience leading projects that leverage Python for data analysis, backend development, or AI and ML applications, as well as JavaScript and TypeScript for front end and full stack development. Proficiency in data analysis techniques, including statistical analysis, data visualization, and data manipulation using tools like Pandas, NumPy, and SQL. Strong focus on data quality, including data validation, cleansing, and enrichment. Qualifications Bachelor's or Master's degree in Computer Science, AI, Data Science, Data Engineering, or a related field. Electrical engineering backgrounds are acceptable. AI or data science background is a meaningful plus (helps significantly) but not a dealbreaker if diligence and ownership are evident elsewhere. 5+ years of experience in software development. At least 2 years in a leadership role is the bar for an Engineering Manager managing teams of 3 to 6. For this Senior Engineering Manager (Technical Team Lead) role, candidates should have experience managing meaningfully larger teams than that, not just the 5 to 6 person threshold. Proven track record of leading teams through urgent, complicated technical work, ideally in a startup setting, and delivering on time or ahead of time. Demonstrated ownership that exceeds role expectations: a history of taking on more than the job required, high personal output, and strong initiative. Strong problem solving skills, with a focus on delivering results in a fast paced, dynamic environment. Excellent communication and interpersonal skills, with the ability to collaborate effectively across cross functional teams. What Success Looks Like You are the kind of leader who is excited to do this work. You know it will be intense, that you'll manage a lot of people, process, and technology at once, and you welcome it. You have taken on something genuinely hard, led people through it, and can clearly explain what made it difficult and how you delivered — a truly hard technical milestone, reached in a leadership setting, that you're proud of. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Задачи: — Ручное тестирование frontend и backend — Разработка и актуализация тестерской документации — Регрессионное и исследовательское тестирование — Документирование багов в баг-трекинговой системе — Понимание сетевых протоколов HTTP и инструментов работы с ними — Понимание JSON и REST — Взаимодействие с командой тестирования, разработки, Лидом и аналитиком Требования: — Умение аргументированно отстаивать качество продукта и предлагать улучшения — Гибкость и умение адаптироваться к изменениям требований и процессов — Уверенное знание специфики и опыт работы с JSON — Глубокие навыки тестирования API (REST) — Опыт работы с логами (Grafana, Kibana, Sentry) Условия: — full-time — Гибкое начало рабочего дня — Бесплатные корпоративные завтраки и обеды — Рабочее место оборудовано современной техникой с учетом пожеланий — Отсутствие бюрократии, оперативное решение вопросов — Компенсация оплаты занятий по английскому языку в размере 50% — Большая высококвалифицированная команда

Location: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Real-World Test Lab Physical AI doesn't get graded on a leaderboard. It gets graded on a factory floor at shift change, in a substation with no GPS, on a site where the lighting is wrong and the stakes are real. The Real-World Test Lab closes the gap between the benchmark and the field. We bring the customer's world inside our walls - their devices, their environments, their hardest conditions, and their definition of success - and make it the bar every release has to clear. As Niantic Spatial's first and most demanding customer, we push our reconstruction, localization, and spatial understanding to their limits, find where they shine and where they break, and turn that into evidence that shapes what we build next. It's a new team at the frontier of physical AI, and you'll help invent how the job is done. About the Role We're hiring an AI Automation Engineer, reporting to the Director of the Real-World Test Lab, to build the system that produces our evidence. Today our evaluations are manual, inconsistent, and slow. You'll design and own the automation that runs them end to end on every relevant release, with no human driving it, turning one-off experiments into an always-on service the whole company relies on. This role is about owning the evidence, not executing a test plan. You'll decide how each workflow gets exercised, and you'll be measured on whether the company can trust the results, not on how much automation exists. The work counts when it keeps running correctly months later, without you in the loop. You believe evaluation is engineering, not process. You've built systems that test other systems, and you know the difference between a script that works on your laptop and infrastructure a team can trust. When a result couldn't be reproduced, you fixed the tooling instead of arguing about the number. What You'll Do - Build the Evaluation Machine - Own the automation that executes Lab evaluations end to end: environment setup, run orchestration, artifact capture, and result collection. Make reruns free so we test constantly rather than occasionally. - Make Results Comparable - Instrument scorecards so a result can be compared across product versions, devices, and capture conditions. A number without its lineage is not evidence. - Automate the Agent-Driven Layer - Build the agent workflows that exercise priority customer use cases at realistic scale, across the graded difficulty spectrum from easy to frontier, and be honest about where agents cannot yet replace human judgment. - Kill Manual Work Permanently - Convert one-off experiments into standing protocols that run on every relevant release. Automate recurring inspection wherever it can be automated, and route what genuinely cannot to scalable human review. - Make Failures Actionable - Produce diagnostics precise enough that a finding reaches its owner with a reproducible case and data attached. Findings that need re-investigation before anyone can act on them are half-finished. - Keep Data From Being the Bottleneck - Work with the AI Data Manager so every run is reproducible from a known dataset state, without anyone downloading and re-uploading data by hand. What Success Looks Like - 30 days: One priority workflow evaluated end to end with no manual steps, with results in a comparable scorecard. - 60 days: Evaluations trigger automatically on relevant releases, with diagnostics that route failures to the right owners. - 90 days: Three priority workflows under standing automated evaluation, with version-over-version comparison for leadership. What You'll Bring - Built and maintained production-grade automation or test infrastructure that other engineers relied on daily. - Experience evaluating systems where correctness is graded rather than binary, meaning quality, accuracy, or latency thresholds rather than pass/fail assertions. - Strong Python, with fluency in orchestration, CI-style pipelines, cloud storage, and reproducible environments. - Worked with backend services and APIs you did not own, integrating against them without becoming a bottleneck for their team. - Written up a technical finding clearly enough that a non-author could act on it without a meeting. - A bachelor's degree in a relevant field, or equivalent experience. Nice to Have - Built agent-based or LLM-driven automation for a task that previously required human judgment. - Worked on evaluation or benchmarking for computer vision, 3D reconstruction, or spatial systems. - Instrumented dashboards or scorecards that leadership used for release decisions. - Operated data provisioning or registry infrastructure across multiple environments and access models. Competencies - Intellectually honest. You design tests that produce answers people can trust, and you refuse to let a benchmark imply more than the evidence supports — including when the honest answer is inconvenient for your own work. - Pragmatic. You find the fastest path to a defensible result without going through one-way doors that undermine scaling. You have no patience for building infrastructure nobody has asked for yet. - AI-forward by instinct. You reach for agents and LLM-driven automation before you reach for headcount, and you're rigorous about verifying what they produce. - Builds for other people. You've maintained something after the initial excitement wore off. Your tooling is documented, your failures are legible, and colleagues use what you build without asking you to run it for them. Compensation & Benefits Base salary range of $158,400 to $210,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Athens The Wow As a Tech Lead at Betsson Group, your primary responsibilities will be geared towards driving technical excellence in our products. You will serve as a bridge between the domain architect(s) and engineering teams, facilitating technical design, decisions and delivery. Being a technical expert, you will actively support our managers in building world class engineering teams. This is a hands-on role, where you will have frequent opportunities to research new technologies, lead technical investigations and develop POCs for new ideas, and will actively participate in key technical initiatives A taster of what you will be involved with: Your main goal is ultimately to drive technical excellence in the domain - in particular towards improving stability, performance, code quality, and development efficiency. To this end, you will be expected to: Identify and champion technical improvements for consideration in the roadmap, ensuring the benefits are clear and understood. Work closely with architects to ensure that the architectural direction and standards are being communicated, aligned & implemented within the teams. Develop and maintain a strong understanding of our business and products. Take the lead on technical design decisions, whilst ensuring alignment with the domain architect(s). Take an active, hands-on role with important technical initiatives and issues. Support new product development by producing POCs and/or documented technical designs. Research new technologies and assessing their potential application. Review major changes to ensure they are up to standard. Serve as a key technical point of contact for the domain, collaborating with product, architecture and engineering colleagues across the organisation. Help build our world class teams, thus participating in technical interviews and providing technical feedback on people, as well as coaching & mentoring engineers. Participate in team ceremonies such as planning, refinement, etc... to keep up to date on ongoing works and upcoming plans. Lead technical trainings to share knowledge and improve technical expertise within the teams. What we are looking for A strong technical background in software engineering for web applications. Highly knowledgeable and experienced with TypeScript / JavaScript and Web Markup (CSS3/HTML5). A deep understanding of Observable technologies (preference for RxJS / Signals). Highly knowledgeable and experienced with modern agile software development practices, GIT based projects, and CI/CD. Knowledge about web component frameworks (ex. StencilJS) Highly experienced and comfortable working with large scale applications, including: SDK & FE components architecture, modularisation, efficient application bundling, unit testing, and integrating with backend APIs. Expertise in delivering highly performant web solutions on an international scale, with preference given to implementing SSR mechanisms and optimising content delivery with CDNs, caching, and other solutions surrounding front-end applications. Possess demonstrated working experience in defining and documenting technical solutions around front-end architecture and its integration with backend services. Ability to efficiently review PRs and provide constructive feedback. Experienced and passionate about coaching and mentoring people, preferably having done so in a similar role. Communicates clearly and confidently with the engineering team, whether running training or knowledge transfer sessions, walking through requirements, or presenting technical designs Communicates effectively upwards with Architects and the Head of Engineering, presenting technical proposals, trade offs and risks with clarity and sound reasoning Is approachable and open, someone the team feels comfortable going to for guidance or support. A strong team player who builds trust, shares knowledge willingly and contributes to a collaborative team culture Great if you have Prior experience working with custom UI design system frameworks. A good understanding of front-end data tracking through Google Analytics / Google Tag Manager. A good understanding of AI Tooling and AIDLC practices. Helps driving AI Tooling adoption within the team in a responsible manner, building confidence and good habits. Applying sound judgement to AI generated output, ensuring code quality and security is never compromised. Working experience with geographically distributed teams. What we offer Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team Building Budget Annual Wellness Allowance Corporate Travel Insurance Events and initiatives both Local (Quarterly Meetings) and Global Professional Development Programs & Internal Career Opportunities Milestone Birthday Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1900 strong, spread across 7 offices! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and always striving to push the boundaries and challenge yourself, then you’ll fit right in. We offer numerous challenges where your skills will be put to good use! We encourage innovation, independence and celebrate success where you will be part of multi-cultural and diverse company, with people from all over the world. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: United States (Remote); Seattle, Washington; San Francisco, California Workplace: Remote ROLE SUMMARY Temporal is looking for a Software Engineer II to join the Open Source Server team. This team builds and maintains the core Temporal server. Its scope is broad, including Matching, Applications, Foundations, task processing, quotas and throttling, visibility, developer-facing primitives such as standalone activities, schedules, and streaming, and workflow experience improvements such as Continue-As-New, pause, and reset. We do not expect one person to cover all of these areas. We’re looking for an engineer who is excited to learn the system, contribute to new and/or ambiguous projects across the codebase, and help improve the reliability, performance, operability, and developer experience of Temporal over time. This is a hands-on engineering role where you’ll collaborate with experienced engineers to design, build, and operate components of Temporal’s distributed systems platform while growing your skills in distributed systems engineering. WHAT YOU'LL DO • Design, implement, test, and ship well-scoped features and improvements for the Temporal server with support from teammates. • Work on distributed systems problems in areas such as task matching, scheduling, workflow execution, visibility, quotas, throttling, persistence, developer primitives, and workflow lifecycle features. • Make thoughtful engineering tradeoffs with guidance, balancing developer experience, performance, and operability requirements. • Partner with engineers, product managers, cloud teams, and customer-facing teams to understand requirements and deliver scalable solutions. • Improve the reliability and operability of the server by adding tests, instrumentation, dashboards, alerts, runbooks, and documentation. • Participate in design discussions and code reviews to learn best practices and contribute to a high-quality codebase. • Contribute to improving the developer experience for open source users and enterprise customers through incremental improvements and bug fixes. • Share knowledge with teammates and contribute to a collaborative engineering culture. WHAT YOU'LL BRING • Experience building and operating production backend systems (distributed systems experience and concurrency experience). • Strong computer science fundamentals, including concurrency basics, data structures, and debugging. • Experience writing production-quality code in Go, Java, or another applicable backend language, with an emphasis on correctness and maintainability. • Familiarity with core distributed systems concepts (e.g., fault tolerance, consistency tradeoffs, replication, scheduling, performance), with interest in deepening these skills. • Ability to break down ambiguous problems into smaller tasks, ask good questions, and incorporate feedback from code review. • Comfort working collaboratively across teams and communicating progress, risks, and tradeoffs clearly. • Experience with testing practices and an operational mindset (logging, metrics, tracing, on-call empathy) is a plus. • Experience with open source software or communities is a plus. • Experience with AWS, Azure, or GCP is a plus. • Exposure to technologies such as Elasticsearch, OpenSearch, ClickHouse, Cassandra, PostgreSQL, or MySQL is a plus. • Exposure to Kubernetes or related tooling (CRDs, KEDA, Argo) is a plus. WHAT MAKES YOU A GOOD FIT • You’re excited to continue building and deepening your distributed systems expertise. • You enjoy learning large, complex codebases, think critically, thrive in ambiguity, and enjoy solving challenging problems. • You take ownership of your work, follow through, and collaborate well with teammates. • You balance technical depth with practical engineering decisions and are comfortable iterating toward better solutions. • You don’t need prior Temporal experience—you’re excited to work on the core of a distributed system used by a large open source community and enterprise customers. 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.

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 Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilities Design and build the event bus and normalized event schema: source identity, sequencing, health state, and the adapter contract that owners of each sensor and system feed build to, plus adapters where needed Build correlation and alerting: the rules and services that turn events from independent sources into alerts an analyst can act on Build the classification and analytics pipelines: computer vision and multi-sensor fusion, with results landing on the event bus Build analyst surfaces: the queue, escalation tooling, dashboards, camera viewers, and video wall content a 24/7 watch works from, plus video analytics integration so camera streams arrive on the bus as events Deliver audit evidence: durable, tamper-evident event history, evidence exports, and the retention and access controls around them Instrument metrics and self-monitoring: detection rates, nuisance ratios, alert aging, time to resolve; heartbeats and loss-of-telemetry alarms on every feed, tested fail-secure behavior, and change audit on every rule Deploy across sites: site-local components, central services, and the sync that keeps configuration, rules, and state consistent, then commission each site and hand over to the analysts Specify the compute the platform runs on (servers, storage, and the platform's network segment) to the team's segmentation and hardening baseline Write requirements and acceptance criteria for what vendors and integrators deliver, review deliverables against them, and make the call on accepting or rejecting the work Minimum qualifications Have built and run event-driven backend systems in production Are proficient in at least one backend language such as Python, Go, or Rust, and have worked with a message bus or event streaming system such as Kafka Have owned a system end to end: set the design, made the tradeoffs, shipped it, and answered for it in production Have integrated with external systems you did not control (vendor APIs, on-prem appliances, video platforms, building systems) and designed for a life beyond any one vendor Have directed vendor or integrator work: written requirements and acceptance criteria, reviewed deliverables against them, and decided what gets accepted Design for the failure you won't see coming (a silent feed, a lost network path, a replayed event, a de-tuned rule), know how your system behaves when a source lies or goes quiet, and test for it Build tools for people who use them under pressure and iterate with those operators Preferred qualifications Experience building or operating a security operations platform (SOC, physical security operations, or the detection engineering behind one) Experience building ML or computer vision inference pipelines over video and sensor streams PSIM (physical security information management) or VMS (video management system) integration experience, or familiarity with physical access control and building systems data Experience producing evidence for auditors or assessors: log integrity, retention, chain of custody Experience using AI-assisted development tooling as a core part of your workflow The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Составлять тестовую документацию: тест-кейсы, тест-планы, чек-листы, протоколы тестирования релизов; — Изучать и оценивать требования к ПО на предмет полноты и покрытия функциональности; — Функциональное, регрессионное, интеграционное тестирование; — Анализ, воспроизведение, локализация дефектов; — Участие в создании автотестов; — Работа в JIRA, Confluence, Bitbucket. Требования: — Опыт тестирования enterprise решений от 3 лет; — Знание методик тестирования; — Опыт тестирования REST API; — Знание JSON и XML (XSD); — Умение работать с консолью браузера; — Знания JavaScript; — Умение писать автотесты на фреймворке Jest с использованием Selenium. Будет преимуществом: — Участие в реализации web-проектов с нуля; — Знание backend-стека (Node.js, Express, Sequelize, PostgreSQL, ClickHouse). Условия: — Оформление в штат аккредитованной ИТ-компании по ТК РФ или ИП (белая заработная плата, отпускные, больничные); — Индексация заработной платы; — Расширенная программа ДМС; — Скидки на фитнес, кино и уроки английского; — Техника по требованиям проекта.

Задачи: — проектировать архитектуру приложений: backend, frontend, базы данных, API и интеграции — декомпозировать крупные задачи и проекты до понятных этапов и оценивать трудозатраты — разрабатывать backend на Node.js / TypeScript и frontend на React — проектировать REST API, интеграции и модели данных — работать с PostgreSQL, при необходимости Redis, MongoDB, очередями сообщений — принимать технические решения с учётом производительности, масштабируемости, отказоустойчивости и безопасности — проводить Code Review и отвечать за качество технического результата — писать и контролировать Unit/Integration-тесты — работать с Docker и CI/CD — участвовать в релизах, разбирать production-проблемы, работать с логированием и мониторингом — создавать PoC для проверки технических гипотез — взаимодействовать с заказчиком и уметь объяснять технические решения понятным бизнес-языком Требования: — коммерческий опыт разработки от 5 лет — сильные знания TypeScript, Node.js, React, PostgreSQL — практический опыт проектирования систем целиком, а не только frontend-архитектуры — понимание System Design: монолитная и микросервисная архитектура, API, базы данных, очереди, кэширование, интеграции — умение работать с нефункциональными требованиями: производительность, нагрузка, масштабируемость, отказоустойчивость, безопасность и observability — опыт с Docker и CI/CD — опыт Code Review, Unit и Integration Testing — умение самостоятельно декомпозировать задачу и оценивать разработку в часах — опыт запуска решений от требований до production — самостоятельность в работе с бизнес-задачами: разбор требований, постановка вопросов, предложение архитектуры, оценка рисков и трудозатрат, организация разработки и доведение результата до production — умение работать с AI-инструментами (Claude Code, Codex, Cursor, GitHub Copilot или аналогичными) — декомпозиция больших задач для AI-агентов, постановка контекста, правил, инструкций — использование AI для разработки, тестов, Code Review, документации, рефакторинга и анализа legacy — организация работы нескольких AI-агентов с разными ролями — проверка и принятие сгенерированного кода, а не слепое доверие AI — понимание ограничений LLM: галлюцинации, потеря контекста, переусложнение решений, ошибки в архитектуре, потенциальные проблемы безопасности — сохранение персональной ответственности за технический результат независимо от участия AI Будет плюсом: — знание Kubernetes — опыт с Redis, Kafka / RabbitMQ, MongoDB — опыт с Prometheus, Grafana, Sentry — опыт работы с высоконагруженными системами — опыт сложных интеграций с внешними системами — участие в пресейле и технической оценке новых проектов — опыт технического лидерства или наставничества разработчиков Условия: — полная занятость — оформление по трудовому договору, договору ГПХ с самозанятым, с ИП или с физлицом — график 5/2 — удалённый формат работы

Задачи: — разработка веб-сервисов с упором на функционал, MVP для новых стартапов — опыт разработки сложных приложений — участие в Code Review Требования: — Frontend: Next.js/React, TypeScript, HTML/CSS — Backend: Express/NestJS, PostgreSQL, ORM, понимание принципов работы веб-приложений и сетевых протоколов — будет плюсом: Strapi, TelegrafJS — личные качества: желание расти, ответственность за результат, коммуникация — опыт: коммерческий опыт от 1 года или релевантные fullstack pet-проекты

Location: Bulgaria; Croatia; Hungary; Lithuania; North Macedonia; Poland; Slovakia Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland,Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. What you'll be solving Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship. This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences. Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources. Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster. Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to haves Multi-tenant identity system design - authentication, authorization, SSO. Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync. Billing, audit-trail, notification, or feature-flag systems in production. Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability. High-cardinality time-series ingestion and querying at scale. Understanding of Kubernetes internals. CI/CD and DevOps practices experience. Observability tooling (Prometheus, Grafana, OpenTelemetry) in production. Responsibilities Design, build, and operate backend services in Go that other teams and customers depend on being correct. Own features end-to-end: from design through implementation, testing, and production rollout. Debug complex production issues involving security-, money-, or trust-critical flows. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Tools we use daily Programming Language: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab CI with ArgoCD What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Требования к специалисту: — Опыт анализа сложных внутренних B2B- или enterprise-продуктов. — Умение проводить интервью и рабочие сессии с пользователями и стейкхолдерами. — Опыт моделирования процессов в BPMN. — Умение описывать User Story, Use Case и Job Story, не подменяя проблему заранее выбранным решением. — Уверенное владение UML: sequence, activity и state diagrams. — Умение проектировать ER-модели, связи one-to-many и many-to-many, справочники и жизненный цикл сущностей. — Понимание REST API, HTTP methods и status codes, JSON, OAuth, OpenAPI/Swagger. — Знание SQL на уровне самостоятельной проверки данных и анализа поведения системы. — Опыт работы с системами управления задачами и документацией уровня Tracker/Jira и Wiki/Confluence. Будет преимуществом: — Опыт в legal tech или автоматизации юридических процессов. — Опыт развития low-code/no-code, CMS, CRM, BPM или metadata-driven платформ. — Опыт интеграций с корпоративными трекерами, хранилищами данных, workflow-системами, мессенджерами и secret storage. — Опыт интеграции AI/LLM-функций, включая ограничения моделей, обработку ошибок и контроль качества результата. — Навык быстрого прототипирования интерфейсов и пользовательских потоков (Figma, Miro). Задачи: — Выявлять проблемы и потребности юристов, администраторов портала и других внутренних пользователей. — Описывать текущие и целевые бизнес-процессы, роли участников, правила и исключения. — Переводить бизнес-требования в системные требования для frontend, backend, API, данных и интеграций. — Описывать API-контракты, структуры запросов и ответов, валидации, коды ошибок и правила авторизации. — Декомпозировать инициативы на задачи, которые можно независимо оценить, реализовать и проверить. — Готовить acceptance criteria, happy path, альтернативные, негативные и граничные сценарии. — Участвовать в приёмке, проверять реализацию относительно требований и сопровождать релиз.

Задачи: — развитие клиентского frontend и admin panel — новые фичи end-to-end: от проработки до релиза — работа с React, TypeScript, Node.js — SSR / prerendering / BFF — интеграции с Go-backend — WebSocket / SSE — white-label / multi-theme архитектура — runtime config / design tokens — unit / integration tests — code review Требования: — 3-4+ года коммерческой разработки — сильный React + TypeScript — JavaScript, HTML/CSS, adaptive / cross-browser — state management: Redux / Zustand / MobX / аналоги — понимание HTTP / REST, базово SQL — Git, CI/CD — frontend security: XSS, tokens, validation — умение читать и ревьюить AI-generated code — AI-native - must-have (использование AI как основного инструмента разработки, умение декомпозировать задачи для агентов, давать контекст, проверять код и архитектуру, отвечать за итоговый результат) Будет плюсом: — white-label / multi-tenant — design systems — Go — fintech / crypto — MCP / AI in CI.

Проект: Федеральный ритейл и еком. Задачи: — Функциональное, интеграционное и API-тестирование микросервисов транспортных компаний, работа с курьерской доставкой и выдачей на ПВЗ, подготовка тестовой модели и тест-кейсов, автоматизация регрессионных проверок API на Python. — Тестирование процесса декомпозиции монолитного PHP-приложения и переноса бизнес-функциональности в микросервисы на Go. — Проверка сохранения текущего поведения системы, API-контрактов, интеграций, корректности миграции и обработки данных. — Проведение функционального, интеграционного, регрессионного и сквозного тестирования. — Выявление расхождений между монолитом и новой микросервисной реализацией. Требования: — Общий опыт работы: от 3 лет в тестировании backend-сервисов, API и интеграций между корпоративными системами. — Опыт API-тестирования от 3 лет. — Опыт тестирования микросервисов от 3 лет. — Опыт работы с SQL/PostgreSQL от 2 лет. — Опыт тестирования асинхронных процессов и очередей/worker-компонентов от 2 лет. — Опыт работы с Docker/Kubernetes от 1 года. — Опыт работы с Jira/Confluence/GitLab от 1 года. — Релевантный проектный опыт: не менее трех коммерческих проектов уровня Enterprise. — Обязателен опыт тестирования микросервисной архитектуры, API-контрактов, интеграций с legacy-системами, асинхронной обработки, retry-логики, обработки ошибок внешних систем, идемпотентности и повторной выдачи результатов. — Отраслевой опыт: E-commerce, транспортная логистика, складская логистика. — Обязательные технологии/инструменты: Python для автотестов, pytest или аналогичный Python-фреймворк, REST API, Postman/Insomnia или аналоги, Swagger/OpenAPI, PostgreSQL, SQL, JSON/JSONB, GitLab, Jira, Confluence, Docker, Kubernetes, S3-совместимое хранилище, инструменты анализа логов и мониторинга. Желательные технологии/инструменты: — Опыт написания unit/integration/contract-тестов, RestAssured/Newman или аналоги, Kafka или RabbitMQ, Redis, MinIO, Grafana, Prometheus, OpenTelemetry, Allure/TestRail/Zephyr, Charles/Fiddler, PlantUML/C4. — Системы учета задач и документации: Jira, Confluence, GitLab. — Необходимо вести тест-кейсы, чек-листы, дефекты, результаты тестовых прогонов, фиксировать тестовые данные и ежедневно предоставлять отчет о проделанной работе в согласованном канале коммуникации.

Проект: Мы разрабатываем систему, автоматизирующую весь жизненный цикл инвестиционной сделки. Наша инвестиционная платформа — уникальное решение на российском рынке для выдачи и сопровождения инвестиционного финансирования юридическим лицам. Современный стек и архитектура: - Микросервисная архитектура: Kubernetes, Docker, Istio, Kafka - Микрофронтовая архитектура: модульные фронтенд-модули - Интеллектуальные агенты: AI-банкир, AI-методолог - Производственные агенты: разработчик, тестировщик, ревьювер - Системы автоматизации: CI/CD, логистика, мониторинг Требования: - Глубокое знание JavaScript/TypeScript, React, Redux - Знание парадигм программирования, CSS, HTML - Опыт разработки микрофронтов - Fullstack-опыт: backend (микросервисы) + frontend - Опыт работы с автоматизациями и системами CI/CD - Агентный режим разработки: работа с LLM (LangChain, LangFuse, OpenCode, Codex, Claude, инференсы) - Опыт опенсорс-контрибуции и патчинга внешних библиотек - Умение проектировать и внедрять исследовательские гипотезы в продакшн Задачи: - Разработка и внедрение AI-агентов (AI-банкир, AI-методолог) - Разработка производственных агентов (разработчик, тестировщик, ревьювер) - Разработка и внедрение систем автоматизации производственного процесса - Исследования и выдвижение гипотез, проверка их в пилотных проектах - Интеграция решений в инвестиционный ландшафт Сбера - Реализация ключевых frontend-решений с учетом микрофронтовой архитектуры - Проведение code review и техническое проектирование - Наставничество и передача знаний команде Условия: - Возможность участия в интересном проекте - Возможность профессионального и карьерного роста в компании - Опыт работы в команде профессионалов - Уровень заработной платы обсуждается индивидуально - Формат работы - удаленно на территории РФ

Location: Poland; Uruguay; Argentina; Armenia; Romania Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We're on the lookout for a Mobile Test Automation Engineer to join our team working on a social news aggregation platform. WHAT YOU’LL DO - Design, maintain, and execute automated and manual tests for iOS and Android mobile applications. - Build and maintain mobile automation suites using XCUITest and Espresso. - Perform hands-on functional, regression, integration, exploratory, usability, and end-to-end testing on real devices and emulators. - Diagnose failures, investigate defects, and partner with engineering teams to identify root causes. - Develop test plans, test cases, test procedures, and release-quality reports. - Integrate automated tests into CI/CD pipelines and monitor test and infrastructure stability. - Collaborate with developers, product managers, and partner engineering teams throughout the Agile development lifecycle. - Identify cross-platform impact areas and provide risk-based test coverage for new features and experiments. - Help drive quality practices across unit, integration, and end-to-end testing. - Estimate testing effort and work independently in a fast-paced environment. REQUIRED SKILLS & EXPERIENCE - 4+ years of experience building or maintaining automation frameworks for mobile applications. - Advanced hands-on experience with XCUITest and Espresso — framework development, maintenance, debugging, and CI execution. - Strong experience testing iOS and Android mobile applications, preferably social media or high-scale consumer apps. - Experience building scalable mobile automation frameworks and integrating them into CI/CD pipelines. - Strong knowledge of mobile QA methodologies, SDLC, test strategy, and test documentation. - Strong understanding of mobile platforms, device fragmentation, networking, permissions, notifications, deep links, and app lifecycle behavior. - Ability to independently create test plans and coverage strategies from product requirements. - Strong exploratory testing and risk-assessment skills. - Experience working in Agile/Scrum environments with frequent or weekly production releases. - Experience using tools such as Jira, Confluence, and common test-management systems. - Strong written and verbal communication skills. PREFERRED QUALIFICATIONS - Experience testing social, community, messaging, or user-generated content platforms at scale. - Experience testing across iOS, Android, web, and mobile web. - Experience with API testing and backend validation. - Experience testing experiments, feature flags, personalisation, feeds, notifications, and user-generated content. - Experience supporting frequent or weekly production release cycles. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Russia; Perm; Moscow Workplace: remote ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. THE ROLE We are hiring a Team Lead, Web3 to lead a cross-functional team of frontend, backend, smart contract and QA engineers in XsollaZK, Xsolla's Web3 ecosystem on a zkSync-based L2. Your team builds: smart wallets built on account abstraction; SDKs that game studios and partners use to bring players on-chain; infrastructure backend services for tokenizing in-game items and currencies; ecosystem dApps: a DEX, an NFT marketplace and an auction. This is a management role. Most of your time goes to people and delivery: building the team, growing engineers, and making delivery predictable. The rest goes to technical leadership: architecture, reviews and hands-on code where it matters. Responsibilities WHAT YOU WILL OWN The team: hiring, onboarding, growth and performance of frontend, backend, smart contract and QA engineers Delivery: predictable commitments, a sustainable pace and the quality of what the team ships How the team works: processes, engineering standards and an AI-assisted workflow Relationships with Product, DevOps and other Xsolla product teams: priorities, dependencies and expectations The technical direction of the team's product area: on-chain / off-chain architecture and key technical decisions, justified in writing Security and reliability of what the team ships: signing flows, contracts that hold user assets, production operation and the team's on-call rotation WHAT YOU WILL DO People Set clear goals and expectations for each engineer Run regular 1:1s, performance reviews and career development conversations; give direct feedback and address underperformance Hire engineers across disciplines: define roles, run interviews and onboard new people Grow engineers through mentoring and build the team's next leaders Build a culture of technical excellence, collaboration and continuous learning Delivery Work with Product to shape requirements, estimate and plan work Manage scope, workload, risks and dependencies so the team delivers on its commitments Report progress, risks and blockers to stakeholders Lead the team through production incidents and post-mortems Continuously improve development processes and team efficiency Technical leadership Review architecture and critical code across backend, frontend and smart contracts, with a focus on edge cases specific to Xsolla products: smart wallets, tokenization of in-game items and currencies, marketplace and auction flows Lead key decisions on smart wallet integration (UserOperations, paymaster and gas sponsorship), session keys and the signing flow Identify systemic risks (key management, signature phishing, bundler and RPC dependencies) and make sure they are addressed before they become incidents Contribute hands-on to critical features when needed Set up AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) and drive its adoption across the team REQUIRED Management experience 5+ years of engineering management experience Managing cross-functional teams that combine several disciplines (for example frontend, backend, smart contracts and QA) Teams you led shipped dApps to production and maintained them People leadership Hiring and building teams: defining roles, running interviews, onboarding Performance management: setting goals, giving feedback, running performance reviews, handling underperformance Growing engineers: career plans, mentoring Delivery and stakeholders Delivery planning: estimation, sprint planning, managing scope, risks and dependencies Working with Product and other teams on priorities and trade-offs; explaining technical trade-offs to non-technical stakeholders Leading a team through production incidents and post-mortems Balancing management with hands-on technical work Technical depth A strong technical background: hands-on engineering experience across the Web3 stack, deep enough to lead technical decisions and review work on each layer: Web3 libraries and wallets: viem and wagmi in production; how wallet signers work (EOAs, browser and embedded wallets, smart accounts, EIP-191, EIP-712, EIP-1193); smart wallets (UserOperations, paymasters, ERC-1271) Backend: Go and TypeScript (Node.js); processing on-chain events (idempotency, reorgs, retries); asynchronous messaging (Kafka, RabbitMQ or NATS ); PostgreSQL and Redis; REST and gRPC API design Frontend: React and TypeScript; web security fundamentals ( XSS , CSRF , CSP , safe handling of signatures and keys in the browser) Smart contracts: reading Solidity and the EVM (storage, gas, proxy upgrade patterns, access control); common vulnerability classes (reentrancy, front-running / MEV , oracle manipulation, signature replay) Operations: Docker, Kubernetes, CI/CD; observability (we use Datadog; experience with Prometheus, Grafana, ELK / Graylog or OpenTelemetry also counts) AI-assisted engineering Daily hands-on use of AI coding tools (Claude Code, Codex, Cursor) for development and review, including configuring them for a repository English Spoken English at B2 level or higher Nice to Have ZK Stack and zk -rollups: EraVM vs EVM , system contracts (ContractDeployer, NonceHolder), L1↔L2 messaging, bridging and finality Smart contract development in Solidity with Foundry Deeper account abstraction: ERC-4337 EntryPoint versions and validation rules (ERC-7562, ERC-6492), modular accounts (ERC-7579 / ERC-6900), session keys and delegated permissions (ERC-7710 / ERC-7715), EIP-7702 Hands-on experience with wallet and AA infrastructure technologies (Sequence, thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, ZeroDev, Safe{Core}), with clear views on build versus buy Key management: HSM , MPC / threshold signing, social or guardian-based recovery DeFi ( DEX , AMM ) and NFT marketplaces (ERC-721, ERC-1155, auctions) go-ethereum and abigen Managing distributed or remote teams Gaming or fintech experience with high-load systems HOW WE WORK Decisions in writing. Significant technical decisions are written up as an RFC or ADR that lays out the options and trade-offs. We discuss the document, not a blank whiteboard. AI is part of everyday engineering. We use AI coding tools for development and review, and we treat configuring them for a codebase as real engineering work. HOW WE HIRE Intro call. Your background, your motivation and the role. Technical interview. Built on the Technical depth part of the Required section and the technical items in What you will own . People and delivery. Built on the Management experience , People leadership and Delivery and stakeholders parts of Required : real situations from your experience with hiring, performance, delivery and incidents. Bar raiser. An engineer from outside the hiring team checks that you raise the overall engineering bar. BENEFITS We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. EMPLOYMENT DETAILS Location: Remote  Employment Type: Full-time Schedule: 10:00–19:00 (flexible) Contract: Employment agreement (entity or EOR arranged per candidate location) EQUAL EMPLOYMENT STATEMENT Xsolla is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, language, sexual orientation, national origin, genetics, political beliefs, disability, age, marital status, social background or other characteristics. We are committed to compliance with all fair employment practices regarding citizenship and immigration status. CONTACT If you have questions regarding our hiring practices, please contact careers@xsolla.com. For more vacancies, visit xsolla.com/careers.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Fanatics Betting & Gaming (FBG) is building the industry’s most trusted, scalable, and fan-centric sportsbook experience. Our Internal Platforms team powers the systems that enable customer operations, marketing, support, and data-driven decision making—centered around Salesforce and deeply integrated backend services. We are seeking a Senior Salesforce Engineer to develop, and maintain scalable Salesforce solutions that support critical internal workflows and customer-facing operations. This is a hands-on engineering role requiring strong Salesforce development expertise, comfort working across integrations and distributed systems, and a passion for building high-quality internal platforms. You will work closely with Marketing, Operations, Product, Data Engineering, and Backend Engineering teams to deliver robust Salesforce capabilities that integrate with third-party systems and internal APIs. Responsibilities Salesforce Engineering & Platform Development Build, and maintain custom Salesforce solutions using Apex, Lightning Web Components (LWC), Flows, and declarative features . Participate in the end-to-end implementation of Salesforce enhancements, from requirements gathering through deployment and support. Apply scalable and maintainable patterns for triggers, flows, automation, and custom components. Write high-quality, testable code with appropriate unit test coverage and participate in code reviews. Integrations & Distributed Systems Develop and maintain integrations between Salesforce and external/internal systems using REST/SOAP APIs, middleware, and event-driven patterns. Partner with backend engineers to design clean integration contracts between Salesforce and Java-based services. Troubleshoot and resolve complex integration and data flow issues across systems. Collaboration & Stakeholder Partnership Collaborate with Product Managers, Business Analysts, and cross-functional partners to translate business requirements into technical solutions. Partner with Marketing, VIP, Operations Support, Risk, and Data teams to ensure Salesforce solutions meet business and regulatory needs. Clearly communicate technical decisions, trade-offs, and implementation details to both technical and non-technical stakeholders. Data Management & Platform Quality Support data migrations, imports/exports, and ongoing data quality initiatives. Ensure strong data integrity, security, access control, and performance across the Salesforce ecosystem. Contribute to platform reliability, availability, and operational excellence. Documentation & Best Practices Create and maintain technical documentation for Salesforce customizations, configurations, and integrations. Follow and help evolve engineering best practices related to Salesforce DX, Git workflows, CI/CD pipelines, testing, and deployment strategies . Continuously identify opportunities to reduce technical debt and improve platform scalability. Experience and Skills Required 3-5 years of hands-on Salesforce engineering experience , with strong proficiency in Apex, Lightning Web Components, and Salesforce automation. Strong experience with Salesforce configuration, including custom objects, flows, validation rules, and security model design . Experience building and maintaining API-based integrations between Salesforce and third-party or internal systems. Working knowledge of Salesforce DX, Git, and CI/CD pipelines . Ability to work independently on complex projects while collaborating effectively within a team. Strong problem-solving skills and attention to detail. Preferred Salesforce Platform Developer I or II certification. Additional Salesforce certifications (Administrator, App Builder, Architect). Experience with: Data migrations and large-scale data operations Event-driven architectures and distributed systems Highly available, production-critical platforms Experience working closely with cross-functional teams such as Marketing, Product, Operations, and Data. Experience working with AI model or agent platforms, including building on or integrating agents into production workflows. Familiarity with platforms such as Anthropic, OpenAI, Amazon Bedrock, LangChain, Google Vertex AI, Microsoft Copilot Studio, CrewAI, or AutoGen is a plus. Familiarity using AI-powered coding assistants to design, build, and test new functionality from the ground up, with the ability to move quickly while maintaining high code quality and test coverage. Interest in leveraging emerging tools and workflows to improve developer productivity and platform throughput. What We Value Passion for building high-quality internal platforms that directly impact business outcomes. Strong ownership mindset and commitment to engineering excellence. Collaborative approach and desire to continuously learn and improve. Comfort operating in a fast-paced, evolving environment. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $128,000 — $160,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .