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Requirements: — 4–5+ years of AI/ML or Data Science experience — Advanced Python, SQL, and ML experience — Hands-on experience with LLMs, RAG, embeddings, and transformers — Experience with PyTorch/TensorFlow, Hugging Face, LangChain or LlamaIndex — Experience with vector databases such as Pinecone, FAISS, Milvus, or OpenSearch — MLOps experience with Docker, Kubernetes, MLflow, and CI/CD — AWS and production AI/ML deployment experience The role involves building production GenAI systems, RAG pipelines, recommendation/personalization models, and scalable ML infrastructure from development through deployment. The position is fully remote, with full-time or contract options.

Location: 134 E Washington St, New Castle PA 16101 Come join our team! There are many reasons why EPIC Insurance Brokers & Consultants has become one of the fastest-growing firms in the insurance industry Fueled and driven by capable, committed people who share common beliefs and values and “bring it” every day, EPIC is always looking for people who have “the right stuff” – people who know what they want and aren’t afraid to make it happen. Headquartered in San Francisco and founded in 2007, our company has over 3,000 employees nationwide With locations spread out across the US, our local market knowledge and industry expertise helps support our clients' regional and global needs We have grown very quickly since our founding, and we continue to see growth and success thanks to our hard-working and growth-minded employees. Our core values are: Owner mindset, Inspire trust, Think big, and Drive results If these values and growth align with what you're looking for in your next career? Then consider joining our amazing team! Our division of EPIC, Treloar & Heisel, is a nationally recognized brand dedicated to serving dental and medical professionals. We specialize in helping clients secure their financial future through tailored insurance solutions and expert guidance. LOCATION: New Castle, PA (On-site) Greater New Castle region, including nearby communities in PA and OH ZIP Codes : 15009, 15010, 16112, 44512, 44403, 16001, 44406, 16066, 16116, 16117, 16127, 16148, 44425, 16137, 16101 WHAT YOU'LL DO Receive communication from insurance companies regarding our clients’ policies and respond accordingly Provide courtesy notifications to clients whose premium payments are late Assist clients with servicing of existing policies, including: Beneficiary and ownership changes Bank changes Premium mode changes Duplicate policy requests Agent of Record changes Coverage reductions Over-age policy conversion Lapse and reinstatement Cancellation Death claims Update database to reflect policy changes and changes to client contact information Communicate with clients’ financial institutions and insurance companies to process collateral assignments of life insurance policies Process policy suspension due to military deployment and reinstatement from suspension Provide high-quality customer service to established clientele WHAT YOU’LL BRING: High School Diploma or equivalent required Preferred Skills High-level customer service skills Superior attention to detail Ability to multitask and balance demanding workload in a fast-paced environment Strong Microsoft Office skills, especially Outlook and Word COMPENSATION: Compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data. This role may also be eligible for bonuses and a comprehensive benefits package. Actual compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data . WHY EPIC: EPIC has over 60 offices and 3,000 employees nationwide – and we’re growing! It’s a great time to join the team and be a part of this growth. We offer: Generous Paid Time off Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave Generous employee referral bonus program of $1,500 per hired referral Employee recognition programs for demonstrating EPIC’s values plus additional employee recognition awards and programs (and trips!) Employee Resource Groups: Women’s Coalition, EPIC Veterans Group Professional growth & development: Mentorship Program, Tuition Reimbursement Program, Leadership Development Unique benefits such as Pet Insurance, Identity Theft & Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause & Midlife Support Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness & employee assistance programs 50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC! EPIC Gives Back – Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation We’re in the top 10 of property/casualty agencies according to “Insurance Journal” EPIC embraces diversity in all its various forms—whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients. California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf . Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. To learn more about EPIC, visit our Careers Page: https://www.epicbrokers.com/about/epic-careers/ . #LI-SG1 #LI-Onsite

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Are you passionate about Responsible AI and ensuring products are built and deployed ethically and safely? Sony Interactive Entertainment is seeking a highly motivated and experienced Senior Responsible AI & Governance Technical Specialist to help ensure our AI products and technologies are developed and deployed ethically, safely, and in alignment with our values. Demonstrable experience in Responsible AI and AI Governance is required. Technical skills are also a must. In this role, you will operate at the intersection of modern AI technology, policy, and ethics. You will design and implement technical governance frameworks, guidelines, and best practices that support responsible AI innovation across the organization. You will identify and assess potential risks, conduct technical and business evaluations, and partner closely with cross-functional stakeholders to embed responsible AI principles into product development lifecycles, adapting to AI-enabled and agentic systems in particular, and identifying where AI-specific guidance or risk mitigations are needed. This is a highly collaborative role working across engineering, product, information security, legal, and business teams to ensure AI initiatives align with regulatory requirements and SIE’s broader strategic goals. The ideal candidate brings a strong understanding of generative AI use cases, technical and sociotechnical risk, and product development, balancing responsible AI commitments with internal and external innovation. If you are passionate about AI Governance and Responsible AI, and have demonstrable experience and skills required for this position, we encourage you to apply. This is an opportunity to build and mature an AI governance program within a fast-evolving landscape. What You’ll Be Doing: Contribute to long-term strategies for building safe, ethical, and innovative AI products and tools Serve as a technical Responsible AI advisor for generative and agentic AI systems, helping teams assess architectures, tool integrations, MCP implementations, data flows, permissions, autonomy, and appropriate human oversight and guardrails Engage stakeholders across the organization to gather feedback and address AI Governance and Responsible AI technical considerations Use AI governance, risk tooling and discovery insights to identify emerging risks and support appropriate remediation and technical solutions Experiment hands-on with emerging AI capabilities, including agents, MCP servers, tool integrations, APIs, and evaluation frameworks, to understand their capabilities and risks and translate findings into practical governance guidance Sit on relevant domain boards as a technical specialist, partnering closely with Product and Engineering Conduct ethical and safety risk assessments, advising teams on mitigation strategies related to bias, fairness, robustness, transparency, and societal impact Partner with engineers, product managers, designers, online safety and more, to proactively identify unintended consequences and emerging risks of AI Coordinate with Information Security and relevant technical teams to align AI governance reviews and risk assessments with security requirements and technical controls Contribute to company-wide best practices for responsible AI development and deployment, including AI literacy materials and case studies What We’re Looking For: 1+ years of experience in AI Governance, Responsible AI, Corporate Governance, AI safety, AI policy, or a related field, with meaningful experience evaluating AI technologies and systems At minimum, 5 years of experience contributing to or leading cross-functional programs from strategy through operational implementation, partnering with product, engineering, legal, security, and operations teams Strong technical fluency in modern AI systems, including LLMs, agentic architectures, tool use/function calling, APIs, cloud services, and automation Hands-on experience working with or evaluating agentic AI systems; familiarity with MCP or comparable protocols and agent/tool integration frameworks strongly preferred Experience with AI red teaming, adversarial testing, or other technical approaches to identifying risks in LLM and agentic systems Understanding of agentic and sociotechnical AI risks, including excessive agency, permissions and data access, unintended tool use, human oversight, systemic risk, and emergent behaviors Ability to translate technical findings and risks into practical controls, mitigations, and guidance for engineering, product, and business teams Ability to independently drive outcomes across cross-functional teams with minimal supervision Strong analytical and communication skills, sound judgment, and the ability to challenge assumptions and navigate ambiguity in a fast-moving environment Ability and curiosity to stay current with emerging AI capabilities, risks, frameworks, and industry developments, particularly within technology, entertainment, and gaming Preferred Qualifications: Familiarity with relevant regulations, standards and ethical guidelines (e.g., EU AI Act, OECD Principles, NIST AI RMF, ISO/IEC 42001) Proficiency in producing meaningful visualizations and reports, and effectively presenting technical results to diverse audiences Industry experience in tech, gaming or (interactive) entertainment At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $132,800 — $199,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Hardware Test Engineer (Manufacturing) to lead manufacturing test strategy and deliver scalable test solutions that ensure every WHOOP device meets the highest standards of quality and reliability. You will take ownership of complex manufacturing test challenges from high-level objectives through strategy, execution, and production outcomes. Working across Manufacturing Engineering, Electrical Engineering, Firmware, Mechanical Engineering, Quality, and Reliability, you will drive alignment on test strategy, influence product and manufacturing decisions, and deliver measurable improvements in test coverage, quality, yield, cycle time, and cost. You will also establish best practices, raise engineering standards, and mentor engineers across the team.   RESPONSIBILITIES: - Lead the architecture, development, validation, and deployment of automated test equipment (ATE), electrical test fixtures, and control systems for engineering validation, NPI, and mass production. - Develop and establish scalable automated test methodologies and applications using Python to validate electrical, functional, RF, and sensor performance on manufacturing lines. - Drive cross-functional alignment across Hardware, Firmware, Manufacturing, and Quality engineering teams to make tradeoffs around test coverage, product quality, cycle time, yield, cost, and schedule. - Lead complex and ambiguous manufacturing test investigations, structuring problems, identifying technical and operational risks, and driving cross-functional teams to root cause and resolution. - Own manufacturing test readiness and outcomes through factory bring-up and production ramp with manufacturing partners, including fixture qualification, calibration, correlation, troubleshooting, and continuous improvement. - Analyze manufacturing and test data to identify systemic opportunities and deliver measurable improvements in yield, process capability, test coverage, quality, cycle time, and cost. - Establish manufacturing test best practices, methodologies, and standards that improve execution quality and scalability across programs. - Identify technical and execution risks proactively and drive mitigation strategies with engineering teams and manufacturing partners. - Contribute to product and manufacturing roadmaps by identifying test technology, infrastructure, and capability investments required for future products. - Mentor engineers and provide technical guidance on test architecture, debugging, automation, and manufacturing test methodologies. QUALIFICATIONS: - Bachelor's degree in Electrical Engineering, Computer Engineering, or a related technical discipline. - 10+ years of experience developing hardware test systems, automated test equipment, or manufacturing test solutions for high-volume consumer electronics or similarly complex products. - Demonstrated experience independently owning manufacturing test strategy and execution from product development through NPI, ramp, and mass production. - Proven ability to lead complex, ambiguous technical initiatives and drive outcomes across multidisciplinary engineering and operations teams. - Deep understanding of electronics, instrumentation, measurement systems, and communication protocols such as UART, I²C, SPI, USB, Bluetooth, and NFC. - Experience designing electronic circuits and PCBAs using tools such as Altium Designer. - Strong proficiency in Python for developing automated manufacturing test applications; experience with C/C++ or other systems languages is a plus. - Extensive experience designing, validating, and debugging manufacturing test fixtures, instrumentation, and production hardware. - Strong understanding of manufacturing test methodologies and data analysis, including test coverage, calibration, correlation, GR&R, process capability, yield analysis, and failure analysis. - Extensive experience working with CMs and JDMs, including factory bring-up, NPI, production ramp, and sustaining support. - Demonstrated ability to influence technical decisions, align stakeholders, and communicate effectively across engineering, operations, and leadership. - Track record of delivering measurable improvements in manufacturing quality, yield, efficiency, test coverage, or cost. - Experience mentoring engineers and improving engineering practices within a team. - Ability to travel up to 15%, both domestically and internationally. - Strong commitment to leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $180,000.00 - $215,000.00 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

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.

Location: Birmingham, Alabama, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical data center environments. As a Senior Delivery Deployment Engineer, you will own the end-to-end delivery, deployment, and production readiness of next-generation GPU platforms inside our data centers. This role sits at the intersection of hardware, Linux systems, and operational execution. You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate repairs, and ensure GB-series infrastructure moves from installation to fully operational production environments with precision and reliability. You will collaborate closely with hardware engineering, networking, and infrastructure teams to deploy and stabilize H200 and B200-based GPU systems at scale. Your responsibilities will include: Lead end-to-end deployment of GB-series racks within data center environments Oversee installation, bring-up, validation, and production readiness of NVIDIA H200 and B200-based servers Troubleshoot complex hardware, firmware, Linux OS, and networking issues Execute structured testing and validation procedures during deployment Develop and maintain basic Linux-based hardware health-check and diagnostic scripts Coordinate on-site hardware repairs, part replacements, and vendor escalations Drive root cause analysis and ensure corrective actions are implemented Manage and prioritize deployment timelines across multiple concurrent rollouts Provide technical leadership and guidance to on-site engineers and technicians Partner with networking and infrastructure teams to ensure seamless integration Document deployment processes, validation standards, and operational runbooks What we expect you to have: Strong hands-on experience deploying and operating data center infrastructure Deep familiarity with GPU-dense systems, ideally NVIDIA H-series platforms Experience working with high-density rack deployments (GB-series or similar) Solid Linux experience, including troubleshooting and scripting Ability to diagnose issues across hardware, OS, firmware, and network layers Experience coordinating field repairs and working directly with hardware vendors Proven experience leading technical teams or overseeing field operations High ownership mindset and ability to operate in production-critical environments Clear communication skills and ability to collaborate across distributed teams It will be an added bonus if you have: Experience deploying AI or HPC clusters at scale Familiarity with automated provisioning or infrastructure lifecycle systems Background in hardware qualification, burn-in testing, or factory validation Experience supporting rapid infrastructure expansion Exposure to ARM-based or heterogeneous compute environments Working conditions: Collaboration with globally distributed engineering and operations teams Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families 401(k) plan: up to 4% company match with immediate vesting Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers Remote work reimbursement: up to $85/month for mobile and internet Disability & life insurance: company-paid short-term, long-term, and life insurance coverage Compensation We offer competitive salaries, ranging from $112k- $140k base + quarterly performance bonuses. Join Nebius today and help build the software that powers the next generation ofAI infrastructure. #LI-AL1 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $112,000 — $140,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We are hiring a Senior AI Engineer to help shape our AI systems and technical direction. You’ll lead the design and delivery of complex, production-grade AI solutions — combining machine learning, LLMs, and robust engineering practices to build high-impact products. We are a team of builders, focused on systems that work reliably in production, not just prototypes. We use modern AI tools extensively, enabling engineers to operate at a higher level — focusing on architecture, system design, and delivering meaningful product impact. What you'll be doing System Design & Ownership: design and lead end-to-end AI systems, from problem framing through to production deployment and iteration. Advanced AI Systems & Agents: architect complex agent-based workflows, tool ecosystems, and multi-step reasoning systems. Model Strategy: make decisions on model selection, fine-tuning, and when to use ML vs LLM vs hybrid approaches. Evaluation & Quality: define evaluation frameworks, metrics, and feedback loops to ensure reliability and continuous improvement. Production Excellence: ensure systems are scalable, observable, and robust in real-world environments. Technical Leadership: mentor other engineers, review designs, and raise the bar for engineering and AI practices across the team. AI-Assisted Engineering: drive effective use of AI tooling within the team, improving productivity without compromising quality. Cross-Functional Impact: work closely with product and leadership to shape what we build and why. What you’ll bring Experience: 5+ years building and deploying ML or AI systems, with significant experience in production environments. Strong System Design Skills: ability to design end-to-end AI systems and make sound architectural decisions. Deep AI Expertise: strong experience with LLM systems (agents, tool use, evals) and/or traditional ML where appropriate. Pragmatism: ability to choose the right approach for the problem, balancing complexity, performance, and cost. Evaluation Mindset: experience designing and using evals to drive system improvements. Engineering Excellence: high standards for code quality, testing, and maintainability. Leadership & Mentorship: experience guiding other engineers and influencing technical direction. AI-Native Workflow: strong ability to leverage AI-assisted development tools effectively and thoughtfully. What we offer in return 💰 Competitive salary of £80,000 to £90,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office 💪 On-site gym and cycle to work scheme 🛍️ Employee discount at over 100 retailers 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Location: Sao Paulo Workplace: Hybrid ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. We're looking for a Product Specialist to be Halter's boots on the ground as we launch Halter in South America. This is a pioneer role. You'll be working directly with our earliest producers as we deploy Halter onto their farms, learning what it takes to make the product work brilliantly in this environment, and feeding those insights back to the rest of the company so we can build and iterate accordingly. You'll work closely with Halter's HQ in New Zealand and our commercial teams in South America to make sure the product delivers undeniable value from day one and that we're building the right things for South American producers. Halter is one of the world's fastest-growing agritech companies, and the most transformative technology available in pasture-based grazing. With Halter's cattle collars and app, producers can virtually fence and shift their cattle, and proactively monitor cattle locations and behaviour. We're looking for big thinkers who know how to get stuff done — people who are natural problem-solvers and are comfortable in a dynamic, high-energy environment where they'll be challenged daily. Our ideal person is someone deeply committed to understanding our product and our customers' needs. Above all, you'll care about the cattle and the producers who work with them, and you'll champion their interests across Halter. National and International travel will be required in this role. About the role What your day could look like: - Getting out onto farms to help deploy Halter with our first customers - this is hands-on work, not desk work. - Building close relationships with our pioneering producers, deeply understanding how they operate, and learning what the product needs to do to deliver real value in this context. - Feeding those learnings back clearly and rigorously to our product and engineering teams in New Zealand, so we're always building what matters most. - Helping us understand the nuances of South American cattle production. The animals, the land, the practices and sharing that context throughout the company. - Thinking critically about the product end-to-end and identifying what we need to fix, improve, or build next. - Working with our first customers to make sure they're getting the most out of Halter and seeing real results. - Partnering across the commercial team to maintain strong alignment as we scale. - Whatever else it takes to make Halter succeed in South America. What we're looking for: - Experience working in South American cattle production. This is a must-have. - Passionate about animals and the future of agriculture in the region. - Tech-savvy and genuinely curious about how our product works under the hood. - A strong communicator who can translate what they're seeing in the field into clear, actionable feedback for a remote product and engineering team. - Proven ability to think critically about a problem and reach strong, innovative conclusions - Comfortable with ambiguity. This is an early-stage market entry and things will be imperfect; you'll thrive on that rather than be frustrated by it. - Fast learner with the drive to work hard alongside a team doing things that have never been done before. - A get-stuff-done attitude with the resilience to push through challenges. - Willing to travel and work flexibly, including weekends when needed. - Portuguese fluency required. Spanish fluency is a nice to have. - English proficiency is a requirement for this role. The recruitment process will include interviews conducted in English, and a significant part of the day-to-day work will also be conducted in English. Candidates should feel comfortable communicating, participating in professional conversations, and working effectively in English. If you are not comfortable having professional conversations in English, this role may not be the right fit for you. Our benefits: - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Health Insurance - Is offered for our employees, so they can care for themselves - Our personal growth is important. Halter offers an annual self-development budget to be used for anything that fuels personal growth. - Paid parental leave plus many other parental benefits that support you and your family.     JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role overview: As a Senior Technical Program Manager, you will put your abilities to work building online services that are performant and delightful, and working with diverse team members and partner teams on delivering complex projects for consumer products. You have shown solid leadership in leading teams and programs to deliver successful outcomes. You will use industry standard methodologies for scheduling, tracking and execution of our projects as well as initiating, planning, and implementing intermediate-to-large cross team or company-wide programs. You will have a balance of people, organizational, and technical skills, and can execute and deliver successfully in situations with implicit authority. Interaction and leadership across functional lines is critical. What you'll be doing: Work with software developers to schedule development, write functional specifications, and drive decision-making to build amazing online experiences. Act as overall lead in driving technical discussions and solutions to business and/or customer requirements. You will handle all phases of the software development lifecycle including design, development, testing, and deployment, while collaborating with other internal teams and groups. You will participate in initial requirements reviews, analysis to assess technical complexity and resolve dependencies. You will provide ongoing visibility into the progress, risks, schedules, and timelines of the features in development. You will develop and manage end-to-end implementations toward technical standards as well as expected delivery dates. What we're looking for: 6+ years of Program Management and Project Management experience with high-volume online user experiences. Experience with agile methodologies, including experience with scrum master and product owner roles. Strong communication, cross-group collaboration, and interpersonal skills Prior experience as a software developer or tester Ability to manage a feature through the entire development and release cycle BA/BS/BSE in computer science, math, or equivalent technical experience Solid leadership skills and a passion for building world class consumer experiences. Keen eye for detail and managing multiple simultaneous dependencies. Ability to travel and manage projects with distributed resources sometimes in international locations. Strong sense of ownership. Skills which encompass communicating to executives, product managers, software engineers, and project managers At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €92.400 — €138.600 EUR Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: 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

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. Job Summary Fanatics Betting & Gaming (FBG) is building the industry's most trusted, scalable, and fan-centric sportsbook experience. Our Internal Platforms power critical systems that support customer operations, marketing, support, risk, and data—through a combination of Java backend services, APIs, event-driven systems, and integrations with the SaaS and CRM platforms our business teams run on. We are seeking a Staff Java Software Engineer to set technical direction for the services and integrations that Internal Platforms runs on. This is a senior individual contributor role for an engineer who operates with minimal guidance, takes on our most complex and often cross-functional problems, and raises the bar for everyone around them. At this level, your impact is measured beyond the code you write. You will own architecture for significant parts of the platform, drive decisions that span multiple teams and systems, mentor other engineers, and partner directly with Product, Operations, Support, Marketing, Risk, and Data leadership to shape what gets built and why. You will still be hands-on—Staff engineers at FBG write and review code every week—but you will spend meaningful time on design, technical strategy, and multiplying the output of the teams you work with. You do not need to be a Salesforce specialist. Some of our systems integrate with Salesforce for CRM and workflow automation, so exposure to it is a nice to have—but we're hiring for strength in Java, distributed systems, and integration design, and we expect you to pick up the platform specifics on the job. Key Responsibilities Technical Leadership & Architecture (Primary Focus) Own the architecture for major services, integrations, and data flows within Internal Platforms, from problem definition through production operation. Lead design for complex, often cross-functional initiatives—defining the approach, surfacing trade-offs, and driving alignment across engineering teams and stakeholders. Break ambiguous, department-level problems into clear technical plans and workstreams that other engineers can execute against. Evaluate and select technologies, patterns, and vendors; know when a sophisticated design approach is warranted and when the simpler answer is the right one. Establish and evolve engineering standards for the team—API design, testing strategy, observability, deployment, and integration patterns—and get them adopted in practice, not just documented. Identify systemic technical debt and reliability risk across the platform, build the case for addressing it, and sequence the work alongside feature delivery. Hands-On Engineering Design, build, and maintain Java-based backend services (Spring Boot or similar frameworks) that are scalable, resilient, and well-tested. Take on the hardest technical problems on the team: high-throughput event processing, complex multi-system integrations, thorny data integrity issues, and production incidents that cross service boundaries. Diagnose problems at the root cause rather than the symptom, and translate what you learn into durable fixes and better instrumentation. Set the quality bar through your own code and through high-signal code reviews that teach as well as gate. Contribute to internal web applications and user interfaces backed by Java services where it moves the work forward. Mentorship & Force Multiplication Mentor and coach Senior and mid-level engineers through design review, pairing, and direct feedback; help them grow the judgment to handle complexity independently. Create learning and growth opportunities for teammates—delegate meaningful design work, sponsor stretch assignments, and share context generously. Onboard and ramp new engineers into the platform's systems and conventions. Write the documentation, runbooks, and design records that let the team operate and extend the platform without you in the room. Model an inclusive, collaborative environment where opposing views are actively invited and disagreement is resolved on the technical merits. Cross-Functional Partnership & Delivery Partner with Product Managers, Technical Program Managers, and business stakeholders to shape roadmaps—bringing technical feasibility, sequencing, and risk into the conversation early rather than reacting to finished requirements. Work directly with Marketing, Operations, Support, Risk, Compliance, and Data teams to ensure platform capabilities meet business needs and regulatory obligations across jurisdictions. Represent Internal Platforms in architecture and design discussions with other engineering teams, negotiating clean contracts and shared ownership boundaries. Communicate complex technical problems, trade-offs, and decisions clearly to both engineering and non-engineering audiences, including leadership. Drive predictable delivery for initiatives you own: scope, estimate, unblock, and own the outcome—including the parts that depend on other teams. Engage external partners and vendors on integration design and technical escalations where needed. Third-Party & SaaS Platform Integration Own the integration architecture between our Java services and the third-party platforms our business teams depend on—REST APIs, platform events, middleware—including data ownership, consistency, and failure handling. Define scalable, reusable integration patterns and prevent the platform sprawl that comes from point-to-point fixes. Lead resolution of complex integration issues spanning backend services, vendor platforms, and data pipelines. Partner with platform-specialist engineers (including our Salesforce-focused engineers) to keep integration boundaries clean and maintainable. Operational Excellence Own production health for the services in your remit: SLOs, alerting, on-call quality, incident response, and post-incident follow-through. Anticipate failure modes, capacity limits, and blockers before they surface, and build the safeguards in advance. Improve engineering practice across the team—CI/CD, test automation, release safety, and developer productivity. Hold the line on the standards required of a regulated, highly available gaming platform. Qualifications Required 8+ years of professional software engineering experience, with deep expertise in Java. Demonstrated ownership of the architecture and delivery of complex production systems, including work that spanned multiple teams or functions. Strong experience designing APIs and integrating distributed systems, with sound judgment about consistency, failure handling, and service boundaries. Track record of operating with minimal guidance: taking an ambiguous problem, defining the approach, and driving it to production. Experience mentoring engineers and raising technical standards on a team—through design review, code review, and direct coaching. Ability to communicate complex technical concepts and trade-offs clearly in writing and in person, to technical and non-technical audiences alike. Experience with Git-based workflows, code reviews, and CI/CD pipelines. Experience operating services in production, including on-call ownership and incident response. Preferred Experience with event-driven architectures (Kafka or similar) at meaningful scale. Experience in cloud environments (AWS preferred), including infrastructure-as-code. Experience with highly available or regulated systems (gaming, fintech, payments). Experience contributing to internal web UIs or tooling, including Java-backed web frameworks and/or modern front-end frameworks consuming Java APIs (React, Angular, etc.) 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. Fluency with AI-powered coding assistants to design, build, and test new functionality from the ground up—moving quickly while maintaining high code quality and test coverage—and interest in helping the broader team adopt these workflows effectively. Nice to Have Exposure to Salesforce as an integration target or platform—Salesforce APIs, platform events, or light development work in Apex, Lightning Web Components, or Flows. Helpful context, not a requirement. Salesforce certifications (Administrator, Developer). What We Value Passion for building high-quality internal platforms that directly impact business outcomes. Strong ownership mindset: you own the outcome, not just your piece of it. A solutions-first approach—you anticipate problems and bring options, not just escalations. Genuine interest in making other engineers better. Comfort operating in a fast-paced, evolving environment with incomplete information. 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 $1 — $1 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 .

Location: Bulgaria; Croatia; Estonia; Greece; Hungary; Latvia; Lithuania; Poland; Romania; Slovakia; Slovenia; Ukraine 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, Slovenia, and Ukraine. About the role A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own. The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products. What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense. 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. Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure). Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong debugging, optimization, and performance-tuning skills. 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 have: Kubernetes operators, Helm chart authoring, admission webhooks. Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs. Local development environment tooling (devcontainers, Tilt, Skaffold, or similar). Kubernetes or cloud-native OSS contributions. Responsibilities: Design, build, and operate the CI/CD pipelines every engineering team ships through. Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production. Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop. Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround. Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure. Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you. Tools we use daily: Programming Language: Go Cloud & Orchestration: Kubernetes, GCP, AWS, Azure Infrastructure as Code: Terraform Databases & Storage: ClickHouse, Cloud Object Storage Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo CI/CD & GitOps: GitLab CI, ArgoCD, Kargo 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

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 .

О проекте: Платформа разработки, валидации, транспорта и развёртывания DWH-объектов между ландшафтами (DEV → TEST → PROD). Целевые СУБД: ADB (Greenplum) и ADQM (ClickHouse). В продуктиве — CLI-конвейер Linter → Builder → Deployer. В работе — интегрированный сценарий: Backend (Repository / Transport / Deploy Orchestration / Load / Admin), Execution Service, Deployment Worker, peer Transport API и Web UI поверх CLI. Задачи: — Разработка и развитие модулей toolchain на Python: mors-linter, mors-builder, mors-deployer (CLI на Typer, packaging через uv/Hatchling). — Доработка и реализация интегрированного сценария на FastAPI: Web API (M-API), модули Repository, Transport, Deployment Orchestrator, Load, Administration; единый error-contract (ApiError), health-checks, OpenAPI. — Реализация peer Transport API между ландшафтами: multipart/form-data (metadata + artifacts), status poll, маршруты DEV/TEST/PROD; интеграция с Deployment Worker (BUILD_PACKAGE / DEPLOY_PACKAGE) над CLI. — Проектирование и работа с PostgreSQL: Metadata DB и Operational DB (раздельные инстансы), typed JSONB definitions, dependency index, locks (EDIT/IMPORT), транзакции, FOR UPDATE / очереди на БД (SKIP LOCKED). — Статический анализ SQL/YAML/конфигов DWH-проектов (sqlglot, sqlparse, networkx); правила именования, namespaces, циклические зависимости, диалекты Greenplum/ClickHouse. — Логика сборки транспортных артефактов и деплоя: стратегии миграций (create / alter / skip / drop / recreate / shadow), DB locks, логирование в deployer_metadata. — Интеграции: S3-compatible ArtifactStore (boto3; MVP — BYTEA, S3 — эволюция), Artifactory / private PyPI, GitLab CI. — Покрытие Unit- и Integration-тестами (pytest), Code Review, рефакторинг, отладка сквозных сценариев Activate / Import / Transport / Deploy. — Участие в Spec-Driven Development (specs, C4/Structurizr, ADR); стыковка с frontend по JSON/OpenAPI (Repository tree, OBJREQ/OBJTRAN, RUNMON, Admin). Требования: — Уверенный Python 3.10+ (желательно 3.11–3.13); — Опыт FastAPI (routing, Depends, Pydantic-модели, OpenAPI, middleware, multipart upload); — Опыт CLI (Typer / Click / argparse); — Понимание asyncio; клиенты httpx / aiohttp для peer-вызовов; uvicorn/gunicorn для сервисов; — Отличное знание PostgreSQL (транзакции, JSONB, индексы, advisory/FOR UPDATE locks, миграции схем — Alembic или аналог); — Опыт работы с Greenplum/PostgreSQL DDL через драйвер (psycopg2 / psycopg3); — Прямой SQL + понимание ORM (SQLAlchemy — плюс); — Знание SQL / DWH-домена: схемы, таблицы, views, functions, roles, external/FDW, transforms; жизненный цикл объектов склада; чтение и составление сложных SQL; — Парсинг и графы: sqlglot/sqlparse (или аналоги), графы зависимостей (networkx), топологический порядок выполнения; — Валидация и конфиги: Pydantic / pydantic-settings, PyYAML, TOML; env-based конфигурация (environs / dotenv); — Работа с артефактами и файлами: ZIP/архивы, файловая структура проектов, S3 API (boto3); — Принципы разработки: SOLID, DRY, KISS, YAGNI; модульный дизайн; понимание Clean Architecture / hexagonal на уровне сервисов; — Инструменты: Git, uv, packaging (Hatchling/wheel), pre-commit (black, isort, mypy), GitLab CI; — Тестирование: pytest (+ pytest-cov, pytest-mock), Unit и Integration; умение писать тесты на API (TestClient / httpx ASGI); — Базовые знания фронтенда: JavaScript/TypeScript, HTML/CSS, JSON/AJAX для работы с UI-командой и OpenAPI; — Адекватная оценка сроков, ответственность за изменения, работа по Agile (Scrum/Kanban), Jira.

Location: Russia; Moscow; Perm Workplace: remote About Xsolla 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. About the Role We are hiring a Staff Software Engineer to own the smart wallet and account abstraction layer of XsollaZK, Xsolla's Web3 platform on a zkSync-based L2. This is an individual contributor role with a large technical scope. You are the technical anchor for how millions of players get an on-chain account they never have to think about. The product. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account. The account is derived from their identity claim, is identical on every device, and its private keys never leave the client. It is not a separate wallet screen: it is the player's inventory. It backs: minting and gifting; trading on our Bazaar marketplace; Merkle-based reward airdrops; gas sponsorship; an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. Responsibilities The technical strategy and architecture of the smart wallet platform: account model, signing, session management and gas abstraction at scale The smart account and permissioning model, evolved to meet both product and compliance needs The security model where our signer meets third-party applications: what a player is actually approving, and proof that the UI shows it The custody and recovery roadmap, from today's interim mechanisms (including raw key export) to MPC -based custody Cross-team technical decisions on account architecture, SDK contracts, data modeling and platform reliability, with buy-in from the wallet, marketplace, SDK, mobile and security teams Engineering standards in the Web3 domain Production escalations in the wallet and account abstraction domain WHAT YOU WILL DO Design and evolve the ERC -4337 user operation lifecycle (prepare → sign → submit → confirm), EIP -7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives (including origin-bound Smart Sessions) that let players act without a prompt on every transaction Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable Define EIP -1193 / EIP -6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow Design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets Identify systemic risks (key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths) and lead initiatives that resolve them before they become incidents Write RFCs and design docs; review critical code, contracts and designs Work with product, security, legal and infra teams to align on the roadmap and turn business and regulatory needs into well-scoped technical plans Create leverage for the engineering org through documentation, tooling and mentorship Serve as the escalation point for complex production issues: a stuck user operation, a drained paymaster, a signing prompt a player didn't understand Set up and maintain AI tooling in the repositories (Claude Code, Codex, Cursor: rules, context, harness) so the team uses it effectively REQUIRED Experience 8+ years of engineering in the Ethereum ecosystem working with crypto wallets and smart wallets Designing or operating a production smart wallet or account abstraction system serving real users and real value Shipping and operating systems where a bug meant lost funds. You can talk concretely about the guardrails, reviews and rollback paths you put in place Account abstraction and smart wallets ERC -4337 in depth: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules ( ERC -7562), gas estimation and its failure modes, counterfactual deployment, signature validation for undeployed accounts ( ERC -6492) EIP -7702 and the post-Pectra landscape: EOA delegation, its interaction with EntryPoint v0.8, and the risks it introduces (residual key authority, delegation phishing, storage collisions) Building on or extending production smart account implementations; modular account standards ( ERC -7579 / ERC -6900) Session keys and delegated permissions: scoped, time-limited, policy-bound authority; TTLs and contract allowlists, origin binding, permission revocation; ERC -7710 / ERC -7715 Signature schemes and wallet interfaces: EIP -712 typed data, ERC -1271 contract signatures, WebAuthn / passkey (P-256) signers; EIP -1193, EIP -6963, EIP -5792 batched calls, ERC -7677 paymaster interfaces Smart contracts and EVM Solidity and the EVM : reading, reviewing and writing account, paymaster and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors L2 specifics and their effect on wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, RPC and indexer semantics Backend Go: idiomatic code, concurrency patterns, performance profiling TypeScript and SDK design: client-side SDK surfaces that internal and external teams build on Distributed systems and their trade-offs (consistency, availability, failure modes); reconciling off-chain state against an authoritative on-chain result Data and infrastructure PostgreSQL: schema design, query optimization, migrations at scale Kubernetes: deploying, operating and debugging services Asynchronous messaging and event-driven design (Kafka or NATS ): consumer groups, at-least-once delivery Git, CI/CD Security Key management in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each Wallet threat modeling: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, paymaster griefing and DoS Leadership Leading multi-quarter technical initiatives across teams Influencing architecture and standards beyond your immediate team RFCs and design docs that stand on their own and are actionable without you in the room 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 English at C1 level Nice to Have Hands-on experience with ZK Stack and zk -rollups Hands-on experience with embedded and ecosystem wallet and AA infrastructure technologies (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}), with clear views on build versus buy MPC / threshold custody, social recovery or guardian-based recovery in a consumer product NFT and token infrastructure at scale: ERC -721 / ERC -1155 / ERC -20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services Contributions to open-source wallet, security or identity projects, including authoring or reviewing ERC / EIP standards Compliance requirements for crypto consumer products: KYC / AML , geofencing, MiCA , SOC 2, ISO 27001, GDPR data minimization, audit logging Identity and auth integration for wallet derivation: OAuth 2.0 / OIDC , JWT verification, token scoping Platform or infrastructure engineering: building systems other engineers build on Owning a mobile wallet surface: React Native / Expo, WebView provider injection, native signing UI Gaming industry experience: platforms for game developers, publishers or players 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 work across time zones, so a design has to stand on its own. 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 directly on the What you will own and Required sections above. We won't ask about anything this posting doesn't promise. System design. You design part of a wallet or account abstraction platform end to end and walk us through the trade-offs. 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)

Location: Tokyo Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals for enterprises across diverse industries in Japan such as financial services, manufacturing, healthcare, energy, telecommunications and oil and gas. Cohere seeks an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them achieve their business goals. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing and Sales Engineering. You’ll be the voice of the field and partner with our Product and Engineering teams to prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you are someone who thrives in an unstructured and quickly evolving environment. And your opportunity for impact will be astronomical — Cohere has skies-the-limit potential, and you’ll help us reach it. As an Account Executive, you will: - Focus on net-new logo acquisition via outbound business development activity and relationship building with key stakeholders - Work closely with customers and prospects as a trusted advisor who deeply understands their challenges and goals, and will tailor solutions to drive impact for their businesses - Work in close partnership with channel partners to find opportunities to scale outreach and customer satisfaction in your region - Collaborate with Product and Engineering teams on strategic motions to deliver solutions to large enterprise customers - Collaborate with Sales Development Representatives to drive top of funnel activity - Own the full sales cycle – from initial outreach through proof-of-concept to deal close You may be a good fit if you have: - 10+ years of enterprise level B2B sales experience, negotiating and closing large enterprise deals, and a track record of high performance and overachieving your quota - Experience selling technical products, such as developer tools, API products, or AI / NLP solutions, are a plus - A track record of working with channel partners to drive sales cycles and hit shared revenue goals - High tolerance for ambiguity - as an early sales team hire, you’ll have to be a doer and a strategist - Curiosity - you want to go deep on Agentic AI and NLP and become an expert on our technology - Fantastic communication skills - you are a great listener, have a knack for understanding what matters most to others, build strong relationships, can speak to the C-suite, and feel comfortable speaking to both technical and non-technical audiences - Native-level Japanese and business-level English FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a Lead ML Engineer to own a new ML stream focused on fast delivery of applied machine learning solutions across different product and business domains. The stream will work with a broad range of ML challenges. Some initiatives may be relatively small and delivered within a few weeks, while others may prove their value and grow into larger dedicated projects. This role combines hands-on ML engineering with end-to-end technical delivery ownership. You will receive product problems and expected outcomes from Product or internal stakeholders, clarify the technical requirements and constraints, define the implementation approach, coordinate execution within the stream, and bring solutions to production readiness and launch. This is a highly hands-on role. The stream will not have a dedicated software engineer for every initiative, so we expect Data Scientists and ML Engineers to be comfortable working beyond experimentation and contributing directly to production code. The role is not tied to a single ML domain. We value strong ML fundamentals, engineering skills, pragmatism, and the ability to quickly understand new problem areas more than deep specialization in one particular class of models. Job Responsibilities Technical Delivery Ownership Turn product and business problems into concrete ML implementation plans. Clarify requirements, constraints, available data, integrations, and success criteria together with Product and relevant stakeholders. Define technical scope, milestones, dependencies, risks, and delivery estimates. Select appropriate ML approaches and determine the fastest reliable way to validate and implement them. Drive technical delivery through experimentation, implementation, integration, deployment, and launch readiness. Keep delivery on track, proactively identify blockers, and coordinate dependencies with other teams. Provide Product with clear technical options, trade-offs, estimates, risks, and experiment results required for product decisions. Support production rollout and iteration based on observed results. Hands-on ML & Engineering Design, train, evaluate, and deploy ML models across different domains and problem types. Write production-quality Python and contribute directly to implementation. Build APIs, batch jobs, data-processing pipelines, and ML services required to deliver solutions where appropriate. Work with classical ML, deep learning, and foundation-model-based approaches depending on the problem. Process and transform large production datasets using Python and SQL. Integrate models into existing production systems. Implement appropriate testing, monitoring, logging, and observability for delivered ML solutions. Work within the shared ML infrastructure, architecture, and engineering practices used across the company. Collaborate with Data Science, Backend, Data Engineering, and MLOps specialists when deeper domain expertise or infrastructure changes are required. Stream Execution Break initiatives down into concrete technical tasks and coordinate execution within the stream. Coordinate the work of Data Scientists and ML Engineers contributing to stream initiatives. Review technical approaches, experiments, and implementation. Keep the team focused on the agreed scope, priorities, and delivery timeline. Identify technical risks and dependencies early and drive them to resolution. Escalate architectural, infrastructure, or methodological questions when broader alignment is required. Help prepare successful initiatives for scaling or transition into longer-term ownership if they grow beyond the scope of the stream. Cross-functional Collaboration Work closely with Product throughout the delivery lifecycle. Independently gather the technical details and constraints required to execute on a product request. Communicate estimates, dependencies, technical trade-offs, and delivery status clearly. Work directly with Engineering and other internal teams to unblock implementation. Challenge technically unclear, contradictory, or infeasible requirements and propose practical alternatives. You’ll thrive here if you have 5+ years of commercial experience in Machine Learning, Data Science, or ML Engineering. Strong hands-on Python programming and software engineering skills. Experience taking ML solutions from a product requirement through experimentation, implementation, integration, and production. Strong understanding of machine learning methods, statistics, experimentation, and model evaluation. Experience writing maintainable production code rather than working exclusively in notebooks. Experience building APIs, services, batch processing, or data pipelines. Strong SQL skills and experience working with large production datasets. Practical experience with Docker and production deployment environments. Ability to turn partially defined problems into concrete technical plans. Ability to estimate work, identify dependencies and risks, and drive technical execution against a timeline. Experience owning technical delivery involving several contributors and coordinating work across dependencies. Experience reviewing code and technical approaches. Ability to work effectively within established engineering and ML practices while independently owning delivery within a stream. Strong communication skills and the ability to work directly with Product and technical stakeholders. Ability to balance speed and engineering quality: validate ideas quickly when uncertainty is high and build robust solutions when moving towards production. Nice to Have Previous experience as a Tech Lead, Stream Lead, or technical owner of ML initiatives. Experience with Kubernetes and CI/CD. Experience with Kafka or other streaming platforms. Experience with Airflow, MLflow, experiment tracking, model monitoring, or similar tooling. Experience building real-time or high-load ML services. Experience with FastAPI or similar Python service frameworks. Experience across several ML domains, such as recommendation systems, ranking, NLP/LLMs, Computer Vision, anomaly detection, forecasting, or classification. Experience with LLM inference, fine-tuning or other GenAI systems. Experience in teams where Data Scientists and ML Engineers own a substantial part of production implementation themselves.

Location: Any Location Workplace: Remote Wanted: Colonist DevOps Engineer Working Hours: We work asynchronously and value outcomes over hours Location: Fully Remote Compensation: Paid in USD. Negotiable based on experience and location About Colonist We're building the biggest digital board game platform on the internet. Players start 250k games every day. Last year: 60M games, 3,037 years of play. We're a fully remote, asynchronous team spread across multiple continents, focused on crafting extremely polished digital board games that people truly love. About The Role Most apps scale by splitting users apart. We can't. Players share one live game state. Every lag spike is felt mid-game. One viral video can 10x our traffic overnight. Your job: absorb 100k CCU without dropping a single game. You will own the infrastructure behind every game session: clusters, deploys, databases, the edge, and the path from merge to production. You will make our infra knowledge shared, so no system depends on one person.   What You'll Do - Own the stack behind every game: game, matchmaking and lobby servers on Kubernetes - Manage cluster and cloud resources as code in Terraform - Scale servers up and down with live traffic. Pay for players, not idle machines - Ship updates often, without kicking players out of live games - Keep terabytes of game data and replays fast and cheap. PostgreSQL, Redis, NATS under real load - Defend the edge from bots and attacks. Cloudflare, rate limiting, Turnstile, R2. - Own observability across Sentry and New Relic. Consolidate monitoring and close the gaps - Document everything: systems, decisions, runbooks, so infrastructure knowledge lives in the team - Build self-service paths so other engineers use infrastructure confidently. - When something breaks, thousands notice in seconds. Find the root cause. Make it never recur Requirements - You love hard technical problems. Scale, latency and cost excite you - You have senior-level experience in DevOps - You have run Kubernetes in production: rollouts, autoscaling, networking, load balancers, and debugging a bad deploy - You run infra lean. You optimize before adding hardware - You document as you go. Runbooks and decisions are natural outputs of your work. - You are comfortable with Linux, Docker, and a CI system you did not build - You have operated PostgreSQL and Redis under real traffic: slow queries, connection limits, and schema migrations without downtime - You have run a message broker in production; we use NATS, but equivalent experience transfers - You have put Cloudflare, or a similar edge, in front of a public service - You can debug a live incident across app logs, metrics, the database, and the edge - AI-forward mindset. We see AI fluency as a real multiplier - Deeply independent. You learn a system from its code, configs and monitoring. - Strong written communication. You explain complex systems clearly in async settings, to technical and non-technical audiences alike - Collaborative by default. You share context proactively, help other engineers understand infrastructure, and never operate as a silo Nice to Have - Experience structuring documentation for AI consumption: machine-readable runbooks, structured architecture notes, agent-readable formats - Experience building self-service infrastructure paths for other engineers: golden paths, templates, or internal tooling - Security depth beyond the basics: threat modelling, access control, audit practices, governance guardrails - You've run real-time or multiplayer systems where shared state matters. - Previous experience as a solo or near-solo infrastructure engineer at a small company Our Values at Colonist We strongly adhere to these values in our team - if these resonate, then you'll love working here! Dependability We're self-driven players who deliver without needing supervision. When we commit to something, we make it happen. Ownership We take full responsibility and go beyond our roles to improve Colonist. Clear Communication In our remote environment, written communication is key. We're direct, structured, and always keep our team in the loop. Efficient Execution We move fast and focus on impact. Instead of getting stuck on perfect solutions, we find practical ways forward and get things done. Continuous Learning We're curious problem solvers who love a challenge. We constantly seek new ideas, embrace feedback, and aren't afraid to change our minds when we're wrong. Why Colonist - Your work ships to 3,6M+ yearly active players - We have hard problems, most engineers only read about: live shared state, viral spikes, lean scale - Async culture; deep work, no performative meetings - Unlimited vacation, yearly team offsite, full work equipment - Budget to experiment with any AI tool you want - Access to all company metrics and internal discussions