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Location: Remote-Friendly (Travel Required) | San Francisco, CA 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) secures Anthropic's data center footprint; this role covers how the sites are designed and built to be secure. Much of that footprint is designed and built with partners, so a site's security is decided early: in what Anthropic hands the people who build it, and in how rigorously the delivered systems are tested against it. You'll design and specify the physical security systems for a site: perimeter and vehicle barriers, intrusion detection, video, security lighting, and the site penetrations and utility entry points that bypass them. Design firms and integrators produce the site drawings and install; you specify, review, and verify. You'll write the performance requirement and verification method behind each control, review every site design against them at each stage with redlines a design team can act on, test in the field that what was built performs as specified, and re-verify post-acceptance changes. This is a foundational role. You'll own Anthropic's physical security reference design package (typical details, reference drawings, schedules, and test procedures) in the form partners build from, and keep it current against each site's threat basis and the sites actually being built. You'll set the technical position for a site and decide what applies where; where a requirement can't be met as written, you'll engineer the compensating control and document the deviation. You'll work with the rest of DCSE, with Anthropic's design, construction, and real estate counterparts, and directly with the vendors who build to the package. We use Claude throughout our engineering workflow and expect you to as well. The same seat covers the team's security operations control rooms. You'll set their design and operational requirements and accept delivered systems against them, working day to day alongside the team's platform engineers, who own the software and compute that run in them. This role involves regular travel to data center sites. These are critical services, and this role participates in an on-call rotation for them. Key responsibilities Produce a vendor-ready design package for perimeter barriers and hostile vehicle mitigation, intrusion detection and its zoning, video coverage, security lighting matched to camera performance, and penetration protection: performance specifications, typical details and reference drawings, and device and zone schedules, written so a design firm can build to them and a test can prove them Define the per-site engineering basis: which requirements apply to a site based on its risk profile and the threats it faces, with compensating controls and documented deviations Write the acceptance criteria and test methods: the verification method behind each requirement and the evidence a site must produce to pass acceptance Set standoff, structural hardening, and site layout criteria for new designs, tied to the threat basis they derive from Run field verification: commissioning and acceptance testing of perimeter, detection, video, and lighting against performance criteria (detection coverage tests, photometric measurements, video quality checks) Write the operational and design requirements for security operations control rooms: console layout, wall versus workstation content, supervisor placement; room network, power, backup, and resilient communications to the team's segmentation and hardening baseline Own control room acceptance: factory and site acceptance criteria written before the build, then accept or reject delivered systems (video wall, consoles, cabling, fit-out) against them Minimum qualifications Have designed or specified physical security systems (perimeter barriers, intrusion detection, video, security lighting) for campus-scale sites: multiple buildings, a secured perimeter, many detection zones Read and produce construction documents (site plans, civil and electrical drawings, device schedules, submittals) using standard design and markup tools such as AutoCAD, Revit, or Bluebeam, and find what is missing as readily as what is wrong Write performance requirements that are testable: each states what must be true, how it will be verified, and what evidence shows it Have run commissioning and acceptance tests against performance criteria and rejected work that did not meet them Derive requirements from a threat basis rather than a product catalog: you can say which adversary a control stops and where the next weakest point is Have owned an engineering domain where you set the approach, chose what applied to each site, worked directly with vendors, and answered for the result Preferred qualifications Experience carrying a physical security design from construction documents through construction to acceptance testing Experience engineering the security scope of colocation or partner-delivered facilities Working knowledge of published standards for standoff, hostile vehicle mitigation, and intrusion detection zoning Photometric and video quality measurement experience Control room, AV, or network design experience: console layouts, video wall systems, resilient communications Experience using AI-assisted tooling for drafting and review 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: 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 Senior Battery Systems Engineer to lead the architecture, integration, and validation of battery systems for current and next-generation wearable products. You will work at the intersection of cell chemistry, battery pack architecture, electrical engineering, mechanical design, firmware, manufacturing, quality, and supply chain to deliver safe, reliable, and high-performing battery solutions. Through hands-on experimentation, rigorous data analysis, and cross-functional technical leadership, you will advance battery technology and strengthen engineering standards across the complete product development lifecycle. RESPONSIBILITIES: - Own battery subsystem architecture, requirements, integration, and validation from early concept development through new product introduction, mass production, and sustaining engineering. - Partner with Product, Battery Cell Engineering, Electrical Engineering, Mechanical Engineering, Firmware, and other cross-functional teams to translate product goals into battery requirements, energy and power budgets, consumption profiles, verification plans, and design documentation. - Lead the integration of charging systems, fuel gauging, protection circuitry, thermal sensing, firmware controls, telemetry, system power architecture, and mechanical battery design to optimize performance, safety, reliability, and member experience. - Develop and execute comprehensive design verification and qualification strategies, including design of experiments, accelerated life testing, reliability assessments, DFMEAs, design reviews, and pack- and system-level testing. - Lead structured root-cause investigations for development, manufacturing, and field issues, using test data, field telemetry, failure trends, and analytical tools to drive objective engineering decisions and continuous product improvement. - Partner with Quality, Manufacturing, Supply Chain, external suppliers, and third-party laboratories to evaluate specifications, qualify designs and processes, establish manufacturing controls, support regulatory compliance, and assess emerging battery technologies; travel up to 15% to engage with suppliers, manufacturing partners, and testing facilities. QUALIFICATIONS: - Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Electrochemistry, or a related technical field, with 4+ years of relevant experience; an advanced degree with 2+ years of relevant experience will also be considered. - Strong understanding of lithium-ion cell chemistry, electrochemistry, battery pack behavior, degradation mechanisms, and the relationships among electrical, mechanical, thermal, and firmware systems. - Hands-on experience developing and executing test protocols for battery packs, electrical systems, printed circuit boards, or integrated hardware products. - Working knowledge of charging circuits, battery protection, fuel gauging, thermal management, battery management systems, and embedded firmware controls. - Experience using design of experiments, statistical analysis, accelerated life testing, reliability engineering, and structured failure-analysis methods to solve complex technical problems. - Ability to interpret electrical schematics, mechanical CAD models, tolerance analyses, engineering drawings, and GD&T callouts. - Strong cross-functional leadership and technical communication skills, with the ability to navigate ambiguity, articulate engineering risks and trade-offs, and collaborate effectively with internal teams and external partners; experience with space-constrained consumer electronics or high-volume battery manufacturing is preferred. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $140,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.

Location: Australia, Adelaide 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. Site Reliability Engineer Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers.  We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring the operational readiness and stability. Requirements Minimum of 5+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addition, experience with at least 3 of the following topics: Distributed data storage at scale (Hadoop, Ceph) NoSQL at scale (MongoDB, Redis, Cassandra) Data Aggregation technologies. (ElasticSearch, Kafka) Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability Monitoring & Alerting (Prometheus, Grafana), and Incident Management toolsets Kubernetes and/or AWS (deployment and management) Software Distribution (Package management and distribution at scale) Configuration Management (ansible, saltstack, puppet, chef) S/W Performance analysis and load testing (QA or SDET experience: a plus) Responsibilities Lead team technical discussions, especially around ongoing improvements in Reliability and Scalability Be involved in creating High Level Designs (HLDs) for new products and platforms Mentor junior SRE staff and enable them for success Lead incident response and post-mortem activities within your assigned service team Work with other Engineers in a cross-functional team to prioritise reliability improvements to address technical debt and toil Contribute to code to improve reliability Implement automation to reduce ongoing toil 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: San Francisco, CA Workplace: Hybrid About Niantic Spatial We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. About the Real-World Test Lab Physical AI doesn't get graded on a leaderboard. It gets graded on a factory floor at shift change, in a substation with no GPS, on a site where the lighting is wrong and the stakes are real. The Real-World Test Lab closes the gap between the benchmark and the field. We bring the customer's world inside our walls - their devices, their environments, their hardest conditions, and their definition of success - and make it the bar every release has to clear. As Niantic Spatial's first and most demanding customer, we push our reconstruction, localization, and spatial understanding to their limits, find where they shine and where they break, and turn that into evidence that shapes what we build next. It's a new team at the frontier of physical AI, and you'll help invent how the job is done. About the Role We're hiring an AI Automation Engineer, reporting to the Director of the Real-World Test Lab, to build the system that produces our evidence. Today our evaluations are manual, inconsistent, and slow. You'll design and own the automation that runs them end to end on every relevant release, with no human driving it, turning one-off experiments into an always-on service the whole company relies on. This role is about owning the evidence, not executing a test plan. You'll decide how each workflow gets exercised, and you'll be measured on whether the company can trust the results, not on how much automation exists. The work counts when it keeps running correctly months later, without you in the loop. You believe evaluation is engineering, not process. You've built systems that test other systems, and you know the difference between a script that works on your laptop and infrastructure a team can trust. When a result couldn't be reproduced, you fixed the tooling instead of arguing about the number. What You'll Do - Build the Evaluation Machine - Own the automation that executes Lab evaluations end to end: environment setup, run orchestration, artifact capture, and result collection. Make reruns free so we test constantly rather than occasionally. - Make Results Comparable - Instrument scorecards so a result can be compared across product versions, devices, and capture conditions. A number without its lineage is not evidence. - Automate the Agent-Driven Layer - Build the agent workflows that exercise priority customer use cases at realistic scale, across the graded difficulty spectrum from easy to frontier, and be honest about where agents cannot yet replace human judgment. - Kill Manual Work Permanently - Convert one-off experiments into standing protocols that run on every relevant release. Automate recurring inspection wherever it can be automated, and route what genuinely cannot to scalable human review. - Make Failures Actionable - Produce diagnostics precise enough that a finding reaches its owner with a reproducible case and data attached. Findings that need re-investigation before anyone can act on them are half-finished. - Keep Data From Being the Bottleneck - Work with the AI Data Manager so every run is reproducible from a known dataset state, without anyone downloading and re-uploading data by hand. What Success Looks Like - 30 days: One priority workflow evaluated end to end with no manual steps, with results in a comparable scorecard. - 60 days: Evaluations trigger automatically on relevant releases, with diagnostics that route failures to the right owners. - 90 days: Three priority workflows under standing automated evaluation, with version-over-version comparison for leadership. What You'll Bring - Built and maintained production-grade automation or test infrastructure that other engineers relied on daily. - Experience evaluating systems where correctness is graded rather than binary, meaning quality, accuracy, or latency thresholds rather than pass/fail assertions. - Strong Python, with fluency in orchestration, CI-style pipelines, cloud storage, and reproducible environments. - Worked with backend services and APIs you did not own, integrating against them without becoming a bottleneck for their team. - Written up a technical finding clearly enough that a non-author could act on it without a meeting. - A bachelor's degree in a relevant field, or equivalent experience. Nice to Have - Built agent-based or LLM-driven automation for a task that previously required human judgment. - Worked on evaluation or benchmarking for computer vision, 3D reconstruction, or spatial systems. - Instrumented dashboards or scorecards that leadership used for release decisions. - Operated data provisioning or registry infrastructure across multiple environments and access models. Competencies - Intellectually honest. You design tests that produce answers people can trust, and you refuse to let a benchmark imply more than the evidence supports — including when the honest answer is inconvenient for your own work. - Pragmatic. You find the fastest path to a defensible result without going through one-way doors that undermine scaling. You have no patience for building infrastructure nobody has asked for yet. - AI-forward by instinct. You reach for agents and LLM-driven automation before you reach for headcount, and you're rigorous about verifying what they produce. - Builds for other people. You've maintained something after the initial excitement wore off. Your tooling is documented, your failures are legible, and colleagues use what you build without asking you to run it for them. Compensation & Benefits Base salary range of $158,400 to $210,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. Location & Work Model This role is based in our San Francisco office, with three days per week in office. Inclusive Application We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. Equal Opportunity Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. Candidate Privacy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Singapore Workplace: Remote We are currently growing our support team at ClickHouse who provides excellent service to our customers around the world. We are seeking a Senior Technical Customer Support Engineer to join our global Support Engineering team. We hope to find you ready to take on a large variety of tasks related to our customers locally in Singapore, as well as more regionally across APJ, APAC, and EMEA. This is a customer-facing role that will include customer interactions via chat, calls, Slack messages, and virtual meetings over video. You will be owning a wide variety of tasks: from triaging support tickets to user community support, helping with both pre- and post- sales customer activities, partnering with our Go To Market team with deeply technical aspects of POCs, and suggesting improvements to how we do things in Support at ClickHouse. This is a great opportunity for someone ready to roll-up their sleeves and help us continue to provide excellent customer support to our rapidly growing user base. Note: This is a remote position, but candidates must be located in Singapore. What you will be doing: - Supporting and guiding our ClickHouse users, customers, and prospects via cases, chat, Slack, community, and meetings - Develop solutions based on ClickHouse Cloud and ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training - Work closely with our global Support Services, Engineering, Go to Market, and Product Management teams to help define functionality required by users and customers - Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers  And of course: - You will deliver excellent customer service as a first-line technical engineer and representative of ClickHouse. Our Support Engineers provide professional response, on-call coverage, and guidance within the required Service Level Agreements ("SLAs") on technical cases that are opened via a ticketing system, email, Slack, chat, and/or phone - You will build strong, trusted relationships with colleagues, customers, and partners What you bring along: - Technical breadth and depth in ClickHouse open-source or ClickHouse Cloud, or in domains relevant to ClickHouse, such as: SQL databases, OLAP, cloud-native SaaS, distributed systems - Previous technical experience in roles such as Support Engineer, Consultant, Database Administrator, Site Reliability Engineer, Solutions Engineer, Software Engineer, and/or Systems Engineer - Be present and available according to the scheduling required to deliver high-quality 24x7 Support in a global, distributed environment - Strong written and verbal English communication skills and the ability to work fully remote with reliable connectivity - A mindset of teamwork, global engagement, empathy, and solving challenging problems - A sense of adventure and urgency in building the most scalable, high-performing, largest, and fastest databases on the planet - The ability to build trusted relationships with colleagues, customers, and partners - You are self-driven, curious, and eager to continuously learn and grow Bonus points: - Experience with ClickHouse - Experience with OSS and open-source technologies, as a user, community member, or contributor - Experience with Azure, GCP or AWS - Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

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.

Tasks: — Lead and execute core 0-to-1 initiatives in cutting-edge domains such as Agentic AI. — Translate high-level strategic vision into concrete execution roadmaps, driving rapid implementation from prototype to production. — Architect scalable solutions and drive critical milestones to position the new department for rapid growth and potentially a spin-off to attract institutional backing. Requirements: — Based in Europe or the Americas (or open to relocate/remote arrangements). — High-agency builder mindset, with proven domain expertise and the drive to take extreme end-to-end ownership. — Excellent verbal and written communication skills in English. Conditions: — 100% remote work. — Full-time employment. Additional information: — Maximum ownership: Complete autonomy to architect systems, drive strategy, and build from 0 to 1 without corporate red tape. — High-growth environment focused on strong market validation and scalable traction. — Elite team: Report directly to the department founder and collaborate with a world-class team. — Competitive compensation with equity upside.

Location: Dubai THE ROLE We are seeking a proactive and tech-savvy IT Support Engineer to provide exceptional technical assistance and ensure the smooth operation of our daily IT functions. In this role, you will be the primary point of contact for hardware, software, and network troubleshooting, dedicated to delivering a seamless technology experience for our employees from their first day onward. As part of a forward-thinking IT team, you will do more than just resolve day-to-day issues. We are looking for someone who is passionate about continuous improvement and eager to leverage AI and automation to streamline processes, improve ticketing efficiency, and enhance overall productivity across the organisation. KEY RESPONSIBILITIES - IT Helpdesk & Ticketing: Manage day-to-day CorporateIT support using our Jira Service Management (JSM) ticketing system. - SaaS Access Management: Manage access to the organization’s SaaS - Device & Asset Management: Serve as an admin for our MDM (Jamf) and maintain a meticulous, up-to-date hardware inventory using our asset management tool (Bluetally). - Onboarding & Offboarding: Own the end-to-end technical lifecycle for Dubai employees. This includes procuring laptops, configuring hardware/software, provisioning accounts, and ensuring a seamless, automated experience. - AV & Collaboration Systems: Manage, troubleshoot, and maintain all Audio/Visual (AV) and video conferencing systems in the Dubai office to ensure flawless internal and external meetings. - Vendor & Supplier Relations: Engage with and maintain strong, productive relationships with local hardware and software suppliers. - Network & ISP Management: Fully manage, patch, and maintain our local office network. You will be responsible for hands-on network troubleshooting to quickly resolve any infrastructure issues, while also acting as the primary liaison with Etisalat for internet services—navigating outages and negotiating plan upgrades. - Documentation: Create and maintain clear internal IT documentation, runbooks, and self-service guides for employees. WHAT WE’RE LOOKING FOR - Relevant Background: Proven experience in a standalone or primary IT support role within a modern office environment. - Regulated Environments: Proven experience in working in regulated environments: Frameworks (ISO 27001, SOC 2, PCI DSS), Regulators (CBUAE, DFSA, VARA, etc.) - Core Tech Stack: Hands-on experience with Jamf, Asset Management, Jira, Okta, and Google Workspace. - Fleet: Hands-on experience managing Apple hardware and software. - Network & Infrastructure Skills: Practical experience patching, maintaining, and troubleshooting local office networks, alongside managing ISP relationships. - AV Troubleshooting: Experience managing AV systems and conference room tech. - Local Procurement: Familiarity with local IT procurement in the UAE and navigating regional hardware vendors. - Supplier Liaison Skills: Strong communication and vendor management skills (prior experience dealing with UAE ISPs like Etisalat is a massive plus). - Autonomy & Reliability: Ability to work independently, manage your own time flexibly, and act as the approachable, reliable face of IT for the Dubai team. - Language Skills: Fluency in English is required; Arabic is a bonus. - Certifications: Certifications such as, CompTIA Network+, or Jamf Pro (100/200) are highly desirable. About Us   We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.   Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.   We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.   Here’s a little more: - Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) - Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more - Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission - Truly global team - 250+ people, 50+ nationalities, 50+ languages - Guided by our values - ownership, impact, humility, and heart - in deed, not just word   TAPTAP VALUES https://www.taptapsend.com/our-values Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun   Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

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 an AI Engineer to join our growing AI Engineering team. You’ll design and build production AI systems — combining machine learning, large language models, and strong engineering — to solve real problems across documents, email, and financial data. We focus on building systems that work reliably in production, not just prototypes. We use modern AI tools extensively in our workflow, enabling engineers to operate at a higher level — focusing on system design, product thinking, and solving complex problems. What you'll be doing AI Systems & Agents: design and build production AI systems — including agent-based workflows, tool use, and multi-step reasoning. Model Development & Adaptation: develop and improve models across text, vision, and structured data, including fine-tuning and hybrid ML + LLM approaches. LLM Platform Work: work with hosted and self-hosted models, contributing to decisions around model selection, performance, and cost. Production Engineering: write clean, maintainable Python and contribute to scalable, observable systems. Evaluation & Iteration: design evals, measure performance rigorously, and improve systems using real-world feedback. AI-Assisted Development: use modern AI coding tools to move faster while maintaining high standards. Collaboration: work closely with product and engineering teams to deliver high-impact features. What you’ll bring Experience: 2–5 years building and shipping ML or AI-powered systems into production. Strong Engineering Skills: clean, testable Python; solid software design; experience working in production environments. AI/ML Breadth: experience with either traditional ML (e.g. gradient boosting) and/or LLM systems (prompting, tool use, evals, agents). Systems Thinking: ability to reason about trade-offs (accuracy, latency, cost, reliability) and design accordingly. Data Skills: SQL, pandas, and experience working with messy real-world data. AI-Native Workflow: comfortable using AI-assisted coding tools effectively. Curiosity & Ownership: proactive in exploring new approaches and improving existing systems. Collaboration: strong cross-functional working style. What we offer in return 💰 Competitive salary of £65,000 to £75,000 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: 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.

Требования: — сильный практический опыт управления корпоративными Mac-устройствами — опыт работы с macOS Endpoint Management и Hardening — практический опыт работы с Okta — опыт работы с 1Password — опыт работы с YubiKey и аппаратными ключами безопасности — сильный опыт в области безопасности конечных точек Условия: — краткосрочный проект: несколько недель

Задачи: — Взять на себя ключевую часть сетевой и VPN-инфраструктуры проекта — Следить за изменениями в блокировках и сетевых ограничениях — Понимать современные методы фильтрации трафика — Знать актуальные VPN-технологии и постоянно тестировать новые инфраструктурные решения — Строить масштабируемую и отказоустойчивую инфраструктуру — Проектировать отказоустойчивую инфраструктуру, способную переживать сбои и изменения сетевых ограничений без постоянного ручного вмешательства — Быстро исследовать изменения в сетях, ставить эксперименты, находить причины проблем и внедрять решения Требования: — Senior-уровень в сетях: TCP/IP, UDP, DNS, TLS/HTTPS, маршрутизация, NAT — Серьёзный практический опыт с VPN, туннелированием и Xray — Опыт работы именно с крупными VPN-проектами — Глубокое понимание DPI, фильтрации трафика, блокировок и причин деградации соединений — Сильный Linux и сетевая диагностика — Опыт с dedicated-серверами, VPS/VDS, CDN, дата-центрами и хостинг-провайдерами — Практический опыт колокации собственного оборудования (плюсом) — Постоянная погружённость в VPN-индустрию и понимание того, что в ней происходит прямо сейчас — Хорошо ориентироваться в рынке хостингов и дата-центров — Понимать особенности разных провайдеров Условия: — Full-time — Только основная работа — без параллельной работы и учёбы

Задачи: — Прямая работа с CTO: архитектурные и операционные задачи инфраструктуры — Поддержка и развитие кластеров Kubernetes: ArgoCD, Helm, GitLab CI/CD — Код на Go: внутренние утилиты и CLI, экспортеры метрик, операторы и хелперы для платформы, правки в сервисах монорепозитория — Инфраструктура как код — OpenTofu, Ansible — Сетевой контур: маршрутизация, VPN, DNS, TLS, ingress, firewall, сегментация — Docker / docker compose — локальные и staging-окружения разработчиков — Первая линия реакции на инциденты: разбор алертов, эскалация, постмортемы — Базовое администрирование сервисов — доступы, почта, админки Требования: — Kubernetes в проде — не «поднял minikube», а дежурил и чинил — GitLab CI/CD, ArgoCD, понимание GitOps-подхода — Сети — TCP/IP, DNS, NAT, VPN, TLS; умение читать tcpdump и не паниковать — Docker, docker compose — Ansible, OpenTofu (или Terraform) — Linux на уровне уверенного администрирования — Grafana и алертинг — дашборды, метрики и логи, настройка правил алертов, работа с Prometheus / Loki / Alloy — Сбор метрик с сервисов в Kubernetes — экспортеры и sidecar'ы, ServiceMonitor / scrape-конфиги, обвязка приложений метриками, RED/USE-подход к дашбордам — Kafka и NATS — не только «настроить», но и понимать семантику доставки, консьюмер-группы, отставание — Опыт highload и финтеха — платёжные интеграции, деньги, требования к надёжности — Готовность подключаться к инцидентам вне стандартных часов — Английский — документация и переписка Будет плюсом: — Go — умение писать и поддерживать код, а не только читать: утилиты, экспортеры, правки в сервисах — Опыт в iGaming

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS - Title: Engineering Satellite Build Lead - Location: Valencia, Spain - Department: Space Systems Testing Team, Engineering - Reports to: Testing Team Lead - Employment type: Permanent - Workplace model: Hybrid per company policy (up to 2 days/week remote); in practice, this hands-on, technical-managerial role requires being onsite at our Valencia office most of the time - Employment is subject to applicable security screening WHY THIS ROLE MATTERS You own the end-to-end build, integration, testing and delivery of the developmental satellites, starting with early preparation and alignment with designers, procurement and operations teams, through the Qualification Model (QM) and Flight Model (FM). You plan the AIT timeline, lead the build team, and keep build documentation, configuration tracking and lessons learned flowing back to designers, so every future unit is faster and easier to build. This position sits within the Testing Team. It is important to note that this is developmental, prototype satellite work rather than repeat-production integration: requirements are not yet frozen, designs evolve frequently, and the Lead is expected to resolve novel problems rather than execute a fixed procedure. WHO WE ARE ICEYE delivers space-based intelligence, surveillance and reconnaissance (ISR) capabilities to governments and allied nations, including sovereign and turnkey ISR missions built on ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, alongside access to data from the world's largest SAR satellite constellation. These capabilities let partners detect and respond to critical changes anywhere on Earth, day or night and in any weather, with ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defence, intelligence, security and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES Build, integration and delivery ownership (EC, Engineering Configuration) - Own end-to-end build, integration, testing and delivery of the R&D satellite system, across QM and FM units - Plan all AIT activities and the AIT timeline for R&D build - Manage the build team and actively participate in build execution - Own build documentation, including build records, configuration tracking (parts traceability) and high-level build procedures - Document lessons learned and give structured feedback to designers to improve build efficiency and testability QM and FM build and system-level testing - Plan and own the QM system build and its system qualification activities - Own system-level integration and testing of FM satellites, verifying functional performance, capturing any required modifications, and maintaining close traceability to support knowledge transfer to the production line - Define system-level test blocks and flows with technical owners, and plan, schedule and coordinate execution of functional tests, SLC, Mock Ops and other required system-level test activities (FM) - Across both QM and FM: accountable for test execution readiness and progress, but do not define test cases, test scenarios or test acceptance criteria (owned by Test Engineering / relevant technical owners) Scope boundaries - Does not own unit-level testing or qualification (owned by project leads / technical owners) - Does not own documentation updates resulting from future design changes (owned by designers); this role's build documentation, including Production documentation, reflects as-built execution only - Does not define system functional requirements or system test definitions, including test cases, scenarios or acceptance criteria (owned by systems engineers / test engineers) WHAT WE'RE LOOKING FOR Must haves: - Broad, hands-on technical depth across mechanical, electronics, RF and software domains, with deep expertise in at least one area and the ability to engage effectively and make sound decisions in the others - Proven track record planning and executing hardware build, integration and test (AIT) campaigns for complex electromechanical or electronic systems, ideally satellites or other high-reliability aerospace/defence hardware - Strong understanding of configuration management and parts traceability, and comfort owning build documentation and build records end to end - Experience managing a build or AIT team, including day-to-day task planning and hands-on participation in build execution - Ability to plan and hold a realistic AIT schedule across build, qualification (QM) and flight (FM) units, coordinating with test engineering, and systems engineering - Systematic, first-principles approach to build and integration problems, comfortable working across mechanical, electrical and software interfaces - Clear written and verbal communication, able to turn build lessons learned into structured, actionable feedback for designers - Maintain strong interpersonal connections and a collaborative spirit, bringing a steady presence to fast-paced or high-pressure environments. - Excel at building positive workplace relationships and navigating high-stress situations with composure and a collaborative mindset. Nice to haves: - Experience with SIGINT, SAR or other RF/payload satellite systems - Prior people management experience, or clear readiness to grow into a team lead role - Familiarity with system-level test activities such as functional tests, SLC (System Level Checks) or Mock Ops GROWTH PATH This role starts hands-on. In the first phase, you'll share the responsibilities described above with the Testing Team Lead while you build context on our systems, processes and team. As you grow into the role, you'll take it on more independently, owning AIT planning, build execution and team management end to end. Over time, the role is expected to evolve toward team leadership, potentially leading the build team directly. Even so, you'll stay hands-on with build execution and technical problem-solving rather than moving fully into management. APPLICATION PROCESS 1. Talent Acquisition screening 2. Hiring Manager interview 3. Take-home task and panel interview 4. (on-site) Technical / systems discussion with the SIGINT Testing Team 5. (on-site) Behavioural interview to assess cultural fit WORKING AT ICEYE At ICEYE, you'll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing and success are a priority, with continuous professional development, training opportunities and a culture where collaboration is how we win. How We Work (Our Values) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully and think critically. Understand the "why" behind decisions. - See the big picture: Stay close to what's happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We're committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, we'll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: United Kingdom, London 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. Network Support Engineer The SIE Developer Technology Group brings together specialists across a range of technology and platform-specific areas, including Graphics, Systems, Submission, and Network technologies. We support game developers and publishers by resolving technical challenges, improving development processes, and providing solutions that help partners successfully develop and release content on PlayStation platforms. The Network team works closely with first- and third-party developers and publishers, providing technical guidance on PlayStation network services, APIs, tools, and related technologies. Job Description As a member of the Network team, you will: Provide technical support and guidance to developers and publishers across all PlayStation platforms through our support portal, online channels, on-site visits, training sessions, and industry events. Develop and maintain a strong understanding of PlayStation network services, APIs, tools, and technologies, helping partners interpret documentation and implement solutions correctly. Investigate technical issues, identify appropriate solutions, and coordinate escalations with relevant internal teams where required. Collaborate with teams across SIE regions to resolve partner issues and develop solutions that improve the developer experience. Act as a technical liaison between developers, publishers, and internal groups including Third Party Relations, Store Operations, Consumer Services, Policy, Product, and SDK teams. Gather, document, and communicate partner feedback, recurring technical challenges, and opportunities for improvement to engineering and product teams. Contribute to the development and improvement of developer-facing tools, services, documentation, and internal processes. Participate in project and software development work, including enhancing existing tools, creating new solutions, and automating internal workflows. Deliver technical training and presentations to developers and publishers, including at partner meetings and developer events. Required Familiarity with programming and scripting languages such as JavaScript, Python, C/C++, XML, or HTML. Familiarity with APIs, web services, networking concepts, or online service technologies. Experience in digital technologies, software development, technical support, or the gaming industry. Strong technical problem-solving and analytical skills, with the ability to investigate complex issues methodically. Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to a range of audiences. Strong organizational and time-management skills, with the ability to manage multiple priorities and collaborate across teams and time zones. Ability to work effectively in an international and multicultural environment. Proactive, collaborative, and approachable, with strong relationship-building skills. Flexible and adaptable, with the ability to respond effectively to changing priorities and requirements. Strong attention to detail. Bachelor’s degree or equivalent practical experience. Nice to Have Experience in developer relations, developer support, technical support, or another partner-facing technical role. Experience developing internal tools, utilities, or automation. Experience with game development, production, or release management. Experience delivering technical training, presentations, or developer-facing documentation. An interest in emerging technologies, online gaming, network services, and broader industry trends. 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.

Задачи: — обработка Excel, PDF и сканов; — извлечение и нормализация данных; — сопоставление данных и поиск расхождений; — интеграция OCR и Document AI; — использование LLM для интерпретации данных; — разработка backend/API; — участие в архитектуре MVP; — работа с обезличенными финансовыми документами. Требования: — Python от 3 лет; — pandas, Excel/CSV; — парсинг PDF; — backend и REST API; — алгоритмы matching, нормализации и очистки данных; — Git; — умение самостоятельно проектировать решения. Будет плюсом: OCR, PyMuPDF, pdfplumber, Camelot, Tabula, fuzzy matching, Document AI, OpenAI/Azure OpenAI/YandexGPT, reconciliation, On-Premise.