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Location: US, Remote Workplace: Remote The Luxor team has built a range of solutions for compute power, including a mining pool, custom firmware, an ASIC brokerage desk, Hashrate derivatives and compute to power CI and agents. We service clients across the globe. Our client base is growing rapidly and as such we are looking to expand our platform engineering team. We're looking for a Senior Platform Security Engineer with strong expertise in security and compliance. You'll join Luxor AI's Platform team and own the entire area of security and compliance within the team's scope, contributing to building and running production infrastructure. This role is ideal for someone who has experienced how security and compliance operate within a large organization and now seeks the autonomy to evolve that function at a fast-growing startup. It will suit an individual energized by the importance of the data we protect and the reliability we provide to our clients. This role will report directly to the Chief Technology Officer. This is a fully remote role based in U.S.A. with seldom travel if needed. RESPONSIBILITIES - Serve as a day-to-day security advisor for the team you support, advocating security requirements as an engineering team member during sprint planning, architecture reviews, process discussions, product direction, design decisions, and while work is in flight - Build and maintain centralized automated security testing and enforcement in CI/CD, including static and dynamic application security testing (SAST/DAST), software composition analysis (SCA), secrets scanning, and infrastructure-as-code (IaC) scanning - Manage centralized cloud monitoring tooling for vulnerability and configuration management, and integrate ongoing patching and hardening into engineering operations - Continually audit application environments and development processes to ensure compliance with internal and external requirements, and alignment with security standard methodologies - Implement and maintain cloud detection and response monitoring, and act as an incident CIRT responder - Document controls, configurations, and decisions to build durable institutional knowledge - Enforce policies and detection using device management tooling (e.g. FleetMDM) REQUIREMENTS - Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or equivalent practical experience - 8+ years of experience in DevOps, software engineering, or security engineering - Proficiency with CI/CD platforms (e.g. GitHub Actions), infrastructure as code tools (e.g.,Terraform), and configuration management (e.g. Ansible) - Proficiency in at least two of the following languages: Go, JavaScript, Rust, Python - Hands-on cloud security experience in GCP, Alibaba, AWS, OVH, Hetzner and/or Azure, including identity and access management, containerization, network security controls, encryption, logging, and monitoring - Harden access and controls (e.g. IAM Policy) - Hands-on experience with Kubernetes GitOps (e.g. Flux, ArgoCD) - Demonstrated experience implementing automated application and infrastructure security testing, secrets management, and policy-as-code enforcement - Familiarity with penetration testing applications or experience conducting penetration testing engagements - Strong scripting skills in Python, or Bash for automation and integration - Experience supporting third-party attestations and audits (e.g., SOC 2 Type 2, ISO 27001), including preparation, implementation, and ongoing evidence collection - Operated and maintained Zero Trust network infrastructures using Tailscale and Cloudflare WARP, providing direct technical support to users while managing access policies and troubleshooting remote connectivity issues. - Deployed, configured, and administered SIEM (Security Information and Event Management). - Strong communication and governance skills, with the ability to translate technical risk into business terms for technical and non-technical audiences, and to advocate for security without slowing down delivery At Luxor we believe that meaningful contributions can be made by anyone. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Luxor welcomes all! Luxor does not accept unsolicited headhunter and agency resumes. Luxor will not pay any third-party agency or company that does not have a signed agreement with Luxor. HOW WE USE AI IN OUR HIRING PROCESS We use AI tools to support certain parts of our hiring process, and we believe in being transparent about how they’re used. During your application, AI may assist in reviewing CVs, qualifications, and assignments by providing additional insights, but it does not make decisions, every application is evaluated at each step by a member of our hiring team. We also use AI to transcribe interviews so our team can stay focused on the conversation rather than note-taking. Any voice recordings are automatically deleted within 15 days. In addition, AI helps us keep candidates informed about their application status and helps us understand how our process is working so we can improve it over time. In all cases, AI is used to support efficiency and consistency, not to replace human judgment. If you have any questions about how we use these tools or your data, or if you would prefer to opt out of any of these features, please include them in the dedicated section of the application form, and we’ll follow up accordingly.

Location: Remote Roles - EMEA Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity OKX is hiring a Head of Tax Information Reporting to build and run our global tax information reporting function. The function covers the OECD Crypto-Asset Reporting Framework (CARF), the EU's DAC8 directive, the amended Common Reporting Standard (CRS 2.0), FATCA, and US Form 1099-DA across multiple reporting entities and a large global user base, with annual reporting across the EU, Brazil, and other CARF jurisdictions. Most of the work is data: getting the right user, transaction, and balance data out of our platform, reconciling it, and turning it into accurate filings. You will own the relationship with our reporting vendor, the data specification that feeds it, and the quality checks that decide whether a file goes out. You will run a central function that owns policy, data, vendor, QA, and submission for every entity in scope. Each reporting entity names an accountable signatory. Local compliance and entity leads are consulted on local requirements and support registration where the law requires a local filer. You will work closely with Product, Data Engineering, Finance Operations, Group Tax, Legal, Data Privacy, and the local entity leads. Location: remote available, with a strong preference for the US or EU. Some travel to OKX offices. What You'll Be Doing Own the end-to-end CARF, DAC8, CRS 2.0, FATCA, and 1099-DA reporting cycle for every OKX entity in scope: population definition, self-certification coverage, data extraction and reconciliation, file production, QA, filing, corrections, and tax authority queries. Define and own the data specification that feeds the tax platform vendor: which users, which transactions, which balances, how they are aggregated by user and jurisdiction, and how they reconcile to the ledger. Work with Product and Data Engineering to build and test the pipeline. Build and run the QA framework. Reconcile every file to source, validate it against the OECD XML schema and local variants, sample-test self-certification reasonableness checks, and run cross-entity consistency checks for users who hold accounts with more than one OKX entity. Nothing files without your release. Manage the tax platform vendor: contract scope, delivery calendar, test cycles, output validation, issue resolution, and the annual renewal decision. Set the group reporting policy and interpret the regimes for OKX: reportable crypto-assets, transfers to unhosted wallets, staking and reward income, retail payment thresholds, residency tie-breakers, and TIN rules, exercising independent technical judgment, supported by Legal and external tax advisers. Own the global tax self-certification design in onboarding, including validation rules, refresh triggers, and the backlog remediation program for existing users, working with Compliance and Product. Define the process for restricting undocumented accounts under DAC8 and CARF, including reason codes and customer communications, with restrictions applied automatically in Product and monitored by the central team. Maintain the entity-by-entity readiness tracker covering domestic enactment, registration, self-certification coverage, and deadlines. Report weekly to the CCO and monthly to the CARF steering committee. Hands-on leader. Build a small, senior team, scaled through the reporting vendor and outside advisers. Coordinate with and train local compliance and entity leads. Support independent testing by Compliance Monitoring, Risk, and Internal Audit, and support tax authority examinations with complete, reproducible records. What We Look For In You 7+ years in tax information reporting, tax operations, or regulatory data reporting at a global exchange, broker, bank, fintech, or digital asset platform, including at least 3 years leading a team. Hands-on experience in a global, distributed digital asset business: you have worked with exchange or wallet transaction data, multiple legal entities, and users spread across many jurisdictions. This is required. Strong data skills. You can write SQL, define data specifications for engineers, reconcile large transaction datasets to a ledger, and find the gap when the numbers do not tie. You have built or run data quality controls on reporting output. Working knowledge of CARF, DAC8, CRS, and FATCA, including due diligence rules, self-certification requirements, reportable transaction categories, and the XML schemas used for exchange. Direct CARF or DAC8 implementation experience is strongly preferred given live DAC8 obligations and upcoming CARF reporting. Experience managing a tax reporting vendor or reporting platform, including scoping, testing, and holding the vendor to a delivery calendar. the tax platform vendor experience is a plus. Experience building a function from a small base: writing the policy, designing the controls, hiring the team, and running the first cycle. Ability to explain data and tax issues plainly to executives, engineers, and local compliance officers, and to run a steering committee. Judgment on when to escalate, comfort working across US, EU, and Asia time zones, and a record of meeting hard filing deadlines. Nice to Haves Experience with US Form 1099-DA or 1099-B production, backup withholding, or Qualified Intermediary reporting. Experience with the DAC8 60-day account restriction process or equivalent undocumented account remediation at scale. Familiarity with GDPR requirements for sharing customer data with tax authorities, including data protection impact assessments. Python or similar scripting for data validation, and experience with data warehouse tools such as Databricks. Experience working inside a Three Lines Model, including supporting second-line monitoring and Internal Audit. A CPA, chartered tax adviser, or equivalent; or a degree in data science, computer science, or accounting. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: England; Portugal; Spain; Italy; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker Forward Deployed Engineers (FDE) embed directly with our most strategic customers to solve important, complex technical problems and turn ambitious ideas into production outcomes. FDEs take on the most challenging technical challenges using existing Docker products and patterns when possible, and work across customer, Docker Product and Engineering teams to realize new approaches when required.   As a Docker FDE, you will work side-by-side with customer engineering teams to deeply understand their goals, problems, constraints, and technical landscape; identify the highest-leverage opportunities; and design, build, and ship solutions with them. You own the technical journey from discovery and architecture through prototyping, implementation and production rollout.   The solutions you build may use existing Docker products, extend Docker into new environments, integrate deeply with customer and third-party systems, or reveal capabilities that Docker should build next. You work closely with Docker Solutions Architects to evolve existing patterns, and Docker Product and Engineering to turn new learnings into reusable patterns and product capabilities. _______________________________________________________________________   RESPONSIBILITIES Build in Production with Customers - Embed with customer engineering teams to design, build, and ship solutions from first prototype through stable production rollout. Use existing Docker products and patterns when possible, invent, prototype and validate innovative solutions when necessary. - Deliver working technical artifacts to customers: custom MCP servers with tightly integrated Docker Sandbox environments for coding agents and containerized agents; Docker Compose definitions for multi-agent harnesses and model-backed applications; Hardened Image standardization and migration; New tools that unblock customer progress. - Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tooling. - Own technical delivery on your engagements: scope the work, sequence it, make trade-offs between speed and quality, remove blockers early, and contribute directly to code whenever progress depends on it. Make AI Adoption Safe and Governable - Translate customer security, compliance, and platform requirements into concrete plans and see those plans through from ideation to production. - Help customers define controls to enable them to adopt agentic AI to solve their unique business problems without compromising security, compliance, data sovereignty or end-user experience. - Establish quality and performance standards for customers and work closely with Docker Product and Engineering to quickly address issues that fall outside of established thresholds - Partner with customer security and platform teams to get agentic workloads through architecture review, threat modeling, and change control. Partner with Solutions Architecture and the Field - Work closely with Solutions Architects to enable off-the-self solutions when possible and provide technical experience and leadership when a bespoke solution is necessary. - Feed implementation learnings back into reference architectures, SOW templates, and success patterns so that FDE innovations become standard features and implementation patterns. - Support the field with technical depth during proofs of concept, escalations, and expansion conversations when a working build is the fastest path to a customer adoption. Close the Loop with Product and Engineering - As part of Docker Engineering FDEs work closely with Product and Engineering teams to fold FDE innovations, learnings, and design patterns into existing or new products and services. - Work with Customers, Product and Engineering to establish quality and performance thresholds, ensuring customer environments meet them consistently, and responding quickly and decisively when they don’t. - Be the voice of the customer. Deliver data-driven and actionable feedback to Product and Engineering: what works well; what does not; what customers are asking for; and what blocks their adoption and forward progress. FDE experience directly influences the roadmap. Shape the Practice - Define the FDE engagement model, delivery standards, and quality bar, and codify them so that engagements are consistent across customers, regions, and delivery partners. - Mentor and lead other Forward Deployed Engineers, and participate in hiring loops to grow the team. - Act as the senior technical escalation point on the hardest problems impacting your customers. Every incident is an opportunity to improve Docker products and services. - Maintain deep, current knowledge of the agentic AI stack: LLMs, APIs, MCP, coding agents, model and harness evaluation approaches, performance and quality thresholds, deployment patterns. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________   QUALIFICATIONS Required - 10+ years of software engineering experience, including 4+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Professional Services Engineer, or Software Engineer with consulting or technical founder experience. - Technical leadership across multiple engagements, teams, or domains, with a proven ability to set delivery standards, define repeatable patterns, and influence product direction through field evidence. - Expert production coding skills in Go, Python, or TypeScript, with a track record of shipping and operating software that other people depend on and of leading technical design reviews. - Deep, hands-on Docker expertise: Dockerfiles and multi-stage builds, Docker Compose, image and registry operations, container networking and storage, and container security fundamentals. - Hands-on experience building with LLMs and agents in production, including tool use and function calling, the Model Context Protocol (MCP server and client implementation), prompt and context engineering, and evaluation of agent behavior. - Working knowledge of software supply chain security: SBOMs, image signing and attestation, vulnerability management, minimal and hardened base images, and secure CI/CD. - Experience integrating with enterprise systems: identity providers (Okta, Entra ID, LDAP/Active Directory), federated identity protocols (OIDC, SAML), secrets managers, Kubernetes, and at least one major cloud platform (AWS, Azure, GCP). - Ability to scope and deliver complex work in ambiguous, fast-moving customer environments, making sound trade-offs between scope, speed, and quality. - Excellent communication skills with engineers, security and platform teams, and executive stakeholders, with a low-ego, collaborative approach and the ability to lead through influence rather than authority. - Proven track record of technical mentorship and of raising the bar for the engineers around you. - High agency and comfort operating autonomously in distributed, remote-first teams. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Travel to customer sites to build in person with customer teams, estimated at up to 50%. Bonus - Experience with Docker Hardened Images, Docker Scout, MCP Gateway, MCP Toolkit, Docker Sandboxes, or Docker Model Runner. - Experience deploying and operating coding agents (Claude Code, Codex, Gemini CLI, Cursor, or similar) in team or enterprise settings. - Experience with air-gapped, regulated, or compliance-driven environments in financial services, healthcare, government, or similar sectors. - Contributions to open source projects in the container, Kubernetes, or MCP ecosystems. - Prior experience founding or scaling a Forward Deployed Engineering or Professional Services practice. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Europe: €121K – €198K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: TBD 🏢 Work Arrangement: Remote opportunities for U.S. and Canadian citizens; relocation assistance and bonus available for qualified UK and European candidates 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Remote & Relocation Opportunities U.S. and Canadian Citizens: Remote work arrangement available. UK and European Candidates: Relocation assistance and a relocation bonus are available for qualified candidates relocating to Canada. Candidates should be comfortable collaborating with multidisciplinary spacecraft engineering teams. Important Screening Requirements 5+ years of experience verifying aerospace subsystems, embedded robotics, or satellite platform architectures. Strong technical knowledge in one or more of the following areas: Power electronics Orbital mechanics Thermal management Control systems Experience developing automated test scripts using Python or MATLAB . Experience controlling power supplies, electronic loads, and simulated sensor inputs through automated testing. Familiarity with space-industry data protocols and avionics testing architectures. Understanding of satellite bus subsystems and their interfaces. About the Role We are seeking a Platform Systems Verification and Validation (V&V) Engineer to verify and validate satellite bus systems, ensuring that core infrastructure subsystems operate correctly and are ready to support spacecraft payloads. This role focuses on the functional verification of essential satellite platform systems, including electrical power, thermal control, propulsion, and attitude control. You will test subsystem performance, validate interfaces, and ensure systems respond correctly to onboard flight software. The successful candidate will bring hands-on experience in system verification, automated testing, and satellite platform technologies, helping ensure reliable satellite bus performance in support of mission operations. What We’re Looking For We’re looking for a hands-on systems verification and validation engineer with experience testing complex aerospace systems, developing automated test scripts, and troubleshooting subsystem interfaces. The ideal candidate understands satellite platform architectures and can verify subsystem functionality, simulate operating conditions, validate communications between systems, and identify issues before spacecraft deployment. Strong candidates will combine technical knowledge of satellite subsystems with practical testing and automation skills, analytical problem-solving, and the ability to work across multidisciplinary engineering teams. Key Responsibilities Satellite Bus Subsystem Verification Test and validate critical satellite platform subsystems, including: Attitude Determination and Control Systems (ADCS) Electrical Power Subsystems (EPS) Thermal Control Systems (TCS) Propulsion systems Verify that platform subsystems function according to system requirements. Evaluate subsystem performance and identify issues that could affect spacecraft operations. Support verification activities to ensure satellite bus readiness for payload integration. Hardware-in-the-Loop (HIL) Testing Use Hardware-in-the-Loop (HIL) testbeds to simulate orbital dynamics and sensor inputs. Simulate inputs from spacecraft sensors, including: Star trackers GPS Sun sensors Verify ADCS functionality and pointing accuracy under simulated operating conditions. Analyze test results and troubleshoot unexpected subsystem behavior. Power & Harness Validation Perform spacecraft power budget verification. Conduct battery charge and discharge cycle testing. Support Solar Array Simulator (SAS) integration . Validate electrical power subsystem behavior under relevant operating conditions. Identify power-related issues and support troubleshooting during verification activities. Flight Software Integration & Testing Verify the interaction between satellite platform hardware and onboard flight software. Test command routing and telemetry packet generation. Validate Fault Detection, Isolation, and Recovery (FDIR) loops. Confirm that platform subsystems respond correctly to software commands and simulated fault conditions. Troubleshoot integration issues involving hardware, software, and subsystem behavior. Subsystem Interface Verification Verify physical, data, and electrical interfaces between satellite platform subsystems. Validate communication and data exchange using protocols such as: CAN SpaceWire RS-422 Identify and troubleshoot interface compatibility issues. Confirm that subsystem interfaces operate according to applicable requirements and specifications. Automated Testing & Technical Analysis Develop automated test scripts using Python or MATLAB . Automate test equipment and simulated sensor inputs, including power supplies and electronic loads. Execute repeatable verification procedures and analyze test results. Document test findings and support the investigation of subsystem anomalies. Help improve testing efficiency, repeatability, and reliability. Required Qualifications 5+ years of experience verifying aerospace subsystems, embedded robotics, or satellite platform architectures. Strong technical knowledge in one or more of the following: Power electronics Orbital mechanics Thermal management Control systems Experience developing automated test scripts using Python or MATLAB. Experience automating or controlling test equipment, including power supplies and electronic loads. Familiarity with simulated sensor inputs and hardware-in-the-loop testing. Familiarity with space-industry data protocols and avionics testing architectures. Understanding of satellite bus subsystems and system interfaces. Strong troubleshooting, analytical, and problem-solving skills. Preferred Qualifications Experience working with satellite platform systems and spacecraft bus architectures. Hands-on experience with ADCS, EPS, thermal control, or propulsion subsystem verification. Experience with HIL testbeds and simulated orbital dynamics. Experience with battery charge/discharge testing and Solar Array Simulator integration. Experience testing flight software command routing, telemetry, and FDIR functionality. Familiarity with CAN, SpaceWire, and RS-422 communication protocols. Experience developing automated verification procedures for complex aerospace systems. Ideal Candidate Profiles Candidates with experience in the following roles are encouraged to apply: Platform Systems Verification and Validation Engineer Satellite Systems V&V Engineer Satellite Systems Integration and Test Engineer Aerospace Verification Engineer Spacecraft Systems Test Engineer Embedded Systems Validation Engineer Satellite Platform Test Engineer Avionics Verification Engineer Candidates with hands-on satellite subsystem testing, automated test development, and spacecraft interface verification experience are especially encouraged to apply. 🌎 Work Arrangement & Relocation Remote opportunities are available for qualified U.S. and Canadian citizens. Qualified candidates from the UK and Europe may be considered for relocation to Canada, with relocation assistance and a relocation bonus available.

Location: Remote-US Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. ABOUT THE ROLE At Phantom, we're looking for an AI Engineer to help shape how AI is adopted and scaled across the company. You'll play a key role in building the internal AI tools, integrations, and automation that enable teams to work smarter, move faster, and operate more efficiently. This is a hands on engineering role focused on turning emerging AI capabilities into practical, reliable solutions that drive meaningful business impact. You'll partner closely with teams across the organization to identify opportunities, build AI powered workflows, and establish the technical foundations that make AI accessible, secure, and scalable. We're looking for someone who enjoys building, experimenting, and shipping, with a strong understanding of modern LLM technologies and the engineering fundamentals required to bring AI solutions into production. RESPONSIBILITIES - Build AI Solutions: Design, develop, and deploy AI powered tools, agents, and automation that streamline workflows and solve real business problems across the organization. - Develop AI Integrations: Connect LLMs and AI applications with internal systems, APIs, and enterprise tools to enable seamless, intelligent workflows. - Own AI Infrastructure: Build and maintain the underlying infrastructure, services, and integrations that support reliable AI applications across teams. - Enable AI Adoption: Partner with stakeholders to identify opportunities for AI, translate business needs into technical solutions, and empower teams to leverage AI tools effectively. - Build for Scale: Develop reusable components, frameworks, and tooling that make it easier for teams to build, customize, and maintain their own AI workflows. - Ensure Security & Reliability: Implement appropriate access controls, monitoring, observability, and operational safeguards to ensure AI solutions are secure, reliable, and maintainable. - Optimize AI Usage: Monitor model performance, usage, and costs while identifying opportunities to improve efficiency, quality, and business outcomes. - Drive Innovation: Stay current with emerging AI technologies, evaluate new models and frameworks, and identify practical opportunities to bring new capabilities into the organization. QUALIFICATIONS - Strong software engineering background with experience building and maintaining production applications, services, or internal platforms. - Hands on experience developing applications using LLMs such as OpenAI, Anthropic Claude, or open source models. - Proficiency in Python, TypeScript, or similar programming languages, with experience integrating APIs and building backend services. - Experience building AI agents, workflow automation, or applications that leverage LLM orchestration frameworks. - Familiarity with retrieval augmented generation (RAG), tool calling, structured outputs, prompt engineering, and modern AI application patterns. - Experience integrating applications with enterprise tools, internal systems, and third party APIs. - Understanding of cloud infrastructure, deployment practices, monitoring, and production reliability. - Strong product mindset with the ability to translate ambiguous business problems into practical technical solutions. - Ability to work independently, take ownership of projects, and collaborate effectively with both technical and nontechnical stakeholders. - A genuine interest in AI and a bias toward experimentation, execution, and measurable impact. NICE TO HAVE - Experience building internal AI platforms or enterprise AI automation solutions. - Familiarity with AI coding tools, agent frameworks, and orchestration platforms. - Experience with technologies such as LangChain, LangGraph, Claude Agent SDK, or similar frameworks. - Experience with MCP, enterprise connectors, and AI tool integrations. - Familiarity with LLM observability, evaluation frameworks, cost optimization, and usage analytics. - Experience implementing security, governance, and access controls for enterprise AI applications. - Experience working in a fast growing technology company where speed, ownership, and adaptability are essential. You'll help make AI a practical and valuable part of how Phantom operates. Success means delivering solutions that teams actively use, reducing manual work, accelerating execution, and creating a scalable foundation for continued AI adoption. You'll have the opportunity to own projects from concept through production, influence our internal AI strategy, and help define how we leverage AI across the organization. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Мы ожидаем от будущего члена команды: • уверенное понимание устройства Linux/Unix (администрирование и сборка);

Location: Latvia OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Mexico Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  About the Role We're hiring a technically strong Senior Data Analyst to help modernize how our FP&A organization uses data, analytics, and automation. This is an embedded Finance role: you'll report directly to the FP&A Director and work side by side with her day to day while partnering closely with our central Data Analytics and Data Engineering teams on infrastructure, standards, and complex technical problems. It's a hands-on execution role for someone who builds. Financial and operational data at Welocalize lives across multiple systems - Workday Financials, Adaptive Planning, Salesforce, a Redshift data warehouse, Power BI, and years of Excel workbooks carrying critical processes. Much of it doesn't connect cleanly, and a lot of institutional knowledge lives in undocumented spreadsheets, manual processes, and Power Queries rather than any system of record. You might start with a complex, years-old Excel workbook and a simple prompt: “This is how we do this today.” Your job isn't to automate the workbook as-is - it's to understand its purpose, trace its logic to source, figure out what users actually need, and design something better: a rebuilt pipeline, a SQL/Python replacement, a driver-based view, an exception-monitoring workflow, or an AI-assisted tool. We're just starting to build out an FP&A AI repository - documentation, business logic, and workflows meant to let AI reliably execute FP&A processes, not just answer one-off questions - and you'll partner with us to determine its direction. This role is a deliberate combination of three things: 1. Fluency with data itself - the ability to query, shape, and manipulate data directly. 2. An engineering mindset - building automated, repeatable systems (workflows and dashboards that run and refresh on their own, integrations across tools) rather than one-off analysis, and knowing how to scope and coordinate real pipeline or data mart work with Data Engineering. 3. An investigative instinct - the ability to look at data and figure out what it's telling us, not just execute a report exactly as specified. What You'll Do Partner directly with FP&A leadership to understand existing reporting, analytical, and planning processes and identify where they should fundamentally change, not just get faster. • Reverse-engineer complex Excel workbooks and manual processes to understand their data sources, business logic, calculations, and the questions their users are actually trying to answer. • Design and build automated solutions using SQL, Python, ETL/data transformation, APIs, and modern AI tools. • Work through large, imperfect, multi-system datasets - resolving data quality, mapping, reconciliation, and grain issues along the way. • Perform exploratory analysis to identify trends, anomalies, relationships, and underlying business drivers, rather than simply reporting what happened. • Design dashboards and reporting experiences around the decisions people actually need to make, not a recreation of an existing spreadsheet in a new tool. • Build AI-assisted, interactive HTML reporting tools - developed with the help of AI coding tools and engineered to refresh efficiently on their own, without repeated AI calls. • Develop driver-based analysis, exception reporting, and monitoring approaches that surface important changes proactively. • Explore and build AI-assisted and agentic workflows - including ways for LLMs to interact with data, tools, APIs, and reporting processes. • Partner with the central Data Analytics and Data Engineering teams on shared data infrastructure and standards - including scoping and coordinating data pipeline and data mart requests. • Contribute in a leadership capacity within the analytics function even without formal management responsibility - shaping how problems get approached, mentoring by example, and helping set the bar for analytical rigor. • Translate complex analytical findings into clear, actionable insight for Finance leaders and other business stakeholders. • Partner in building out our FP&A AI repository - the documentation, conventions, and workflows meant to let an AI assistant execute FP&A processes reliably - and help shape its direction as we go. How You Think Technical skills matter, but how you approach problems matters just as much. We're looking for someone who: • Is genuinely curious and naturally asks “why?” when something doesn't reconcile or doesn't make sense. • Enjoys digging into messy or unfamiliar data and figuring out how things connect. • Doesn't assume an existing process or report is right simply because that's how it's always been done. • Can take an ambiguous problem and independently structure an approach to solving it, while knowing when to pull others in rather than spinning wheels alone. • Looks beyond the initial request to identify opportunities, risks, and better approaches the requester may not have thought to ask for. • Enjoys collaborative problem-solving - bouncing ideas around, testing hypotheses, and challenging assumptions to get to a stronger answer. • Takes ownership of the areas they work in - the business purpose, the data, the known issues, and the opportunities for improvement - rather than treating each request as a one-off ticket. • Likes building things, experimenting, and continuously improving how work gets done. Required Skills and Experience 5-10 years of relevant experience required. You should be genuinely, hands-on strong across: • SQL - comfortable joining tables, tracing grain, finding duplicates, and validating results in unfamiliar schemas. • Python - practical proficiency for data transformation, analysis, and automation. • ETL/ELT fluency - strong enough understanding of pipeline design to define data requirements, validate output, and partner effectively with Data Engineering on pipeline and data mart requests. Hands-on pipeline-building experience is a plus. • Report and dashboard building - able to design and build a reporting/analytical experience end-to-end, whether on a modern BI platform (Power BI, Tableau, Looker, or similar) or as a standalone interactive HTML/web-based report. Standalone HTML/web-based reports are increasingly our primary format. • Automation - demonstrated experience automating manual, recurring data or reporting workflows. • Comfort learning and adopting new AI-assisted tools and workflows - you should be genuinely curious about this space and ready to build fluency quickly on the job. • Advanced Excel, including the ability to deconstruct sophisticated, undocumented legacy workbooks. • Demonstrated ability to explore data and figure out why something happened - forming and testing your own hypotheses, not just reporting what happened. • Fluent English, spoken and written. This is a fully remote role and you'll communicate directly, in English, with business stakeholders and executive leadership as well as data analysts and engineers across our global organization, where English is the shared working language. Preferred Experience Bachelor's degree in Computer Science, Information Systems, Data Science, or a related quantitative/technical field strongly preferred; equivalent experience acceptable. Master's degree is a plus. • Experience supporting Finance, FP&A, Strategy, Operations, or another analytically intensive business function. • Familiarity with financial concepts such as revenue, margin, profitability, forecasting, and variance analysis. • Experience modernizing legacy Excel-based reporting or analytical processes. • Experience working in an environment where data is distributed across multiple systems and isn't always perfectly documented. • Experience working effectively in a fully remote, distributed team environment. • Exposure to AI/agentic tooling, or experience helping design how AI gets applied to a business process (e.g., LLM workflows, tool/function calling, RAG, MCP, building AI-assisted reporting or automation). • Machine learning, statistical modeling, or formal data science experience is welcome but not required.

• Designing and implementing gameplay mechanics and systems in Unreal Engine. • Building and extending gameplay abilities with the Gameplay Ability System (GAS).

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Our Integration Engineering team connects the systems and data that power Figma’s business operations. We partner with teams across Finance, GTM, People, and Engineering to build reliable integrations and data pipelines across Salesforce, NetSuite, Workday, Snowflake, and other core applications. We’re looking for a Data & Integration Engineering who combines application integration expertise with hands-on data engineering experience. You’ll build workflows that move business processes forward and pipelines that make data accurate, accessible, and useful for operations, reconciliation, and reporting. This is a hands-on individual contributor role with end-to-end project ownership, from requirements and architecture through development, deployment, and production support. You’ll help shape our technical direction, mentor engineers, and establish reusable patterns that improve how we build and operate integrations and data pipelines. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Design, build, and operate integrations across CRM, ERP, and HR systems using MuleSoft, APIs, and event-driven architectures Build and maintain batch and incremental data pipelines into Snowflake, using SQL and Python for transformations, validation, and automation Develop data models and datasets that support business operations, reconciliation, and reporting, partnering with Data Engineering on standards and ownership Work with business stakeholders and product managers to translate requirements into technical designs, delivery plans, and measurable acceptance criteria Support business-critical order-to-revenue workflows with reliable processing, clear ownership, and safe recovery from failures Implement automated testing, monitoring, alerting, and data quality checks to improve reliability and reduce manual intervention Apply security and SOX/ITGC-aligned development practices, including access controls, code reviews, CI/CD, and change management Lead design reviews, mentor engineers, and establish reusable components, documentation, and engineering practices We’d love to hear from you if you have: 5+ years of relevant engineering experience, including hands-on delivery of both enterprise integrations and production data pipelines Strong experience building and supporting API-led integrations, with an understanding of API design, authentication, asynchronous processing, retries, and idempotency Hands-on proficiency in query languages and programming for data transformation, pipeline development, and automation Experience with Snowflake or a comparable cloud data warehouse, including data modeling, incremental processing, and query optimization and integrating enterprise business applications across Finance, GTM, or People systems A track record of independently owning projects from requirements through production, including testing, monitoring, troubleshooting, and documentation, while collaborating with business stakeholders and engineering teams While it’s not required, it’s an added plus if you also have: Experience with dbt, Airflow, or comparable transformation and orchestration tools, as well as change data capture, streaming pipelines, schema evolution, and historical backfills Familiarity with quote-to-cash, billing, accounting, or financial reconciliation processes Experience with Workday Studio, Salesforce Apex, or NetSuite SuiteScript Knowledge of AWS services such as S3, Lambda, and SQS A background in implementing or maintaining SOX/ITGC controls, as well as mentoring engineers and establishing shared engineering standards At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

• Опыт в аналитике данных от 2 лет. • Уверенное знание SQL.

Location: United States, Remote 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. Do you want to help bring PlayStation technology to a worldwide audience? Are you passionate about securing infrastructure that constantly pushes the boundary of the gaming industry? Are you ready to work with innovative technology, forward-thinking engineers, and a passionate security team? If so, join us! The role is a senior-level application security position combining strong technical expertise with leadership, initiative, and collaboration. You will provide strategic mentorship and hands-on support in designing, implementing, and testing secure solutions that strengthen PlayStation products and services. As a technical leader within Product Security, you’ll guide practices and influence multiple teams to embed security throughout the software development lifecycle. Key Responsibilities Lead security initiatives across the SDLC and improve development practices through scalable automation. Conduct and guide threat modeling and security requirements early in design phases. Partner with developers, architects, and product managers to align business goals with security needs. Lead security architecture and code reviews for distributed systems. Perform hands-on testing to identify risks and drive remediation with vulnerability and incident response teams. Advance the Product Security strategy through multi-functional initiatives and cultural influence. Balance business and security risks through technically grounded, pragmatic recommendations. Translate lessons learned into reusable organizational assets that enhance overall security posture. Mentor engineers and practitioners, promoting secure-by-default thinking and shared accountability. Demonstrate proactive leadership, coordinating teams to deliver measurable security and business impact. Qualifications 7+ years in information security and 3+ years in software development. Bachelor’s degree or equivalent in Computer Science, Information Security, or related field. Effective communication and leadership abilities; capable of influencing technical and non-technical collaborators including management. Dedicated and proactive, finding opportunities and leading initiatives independently. Deep understanding of enterprise and cloud-native architectures and their secure design. Expertise in network and web protocols (TCP/IP, TLS, HTTPS, OAuth 2.0, OpenID Connect) and common attack vectors. Proven expertise in guiding security development and code evaluations and providing actionable, risk-based recommendations. Skilled in multiple programming languages (e.g., Java, C/C++, JavaScript, Python) and mitigating vulnerabilities such as OWASP Top 10. Experience integrating SAST, DAST, and dependency scanning into CI/CD pipelines. Familiar with Agile, DevOps, and modern delivery practices. Hands-on experience with cloud technologies (AWS, Azure, GCP, Kubernetes, service mesh, CDN) including secure configuration and identity management. Desired Experience Strong analytical and problem-solving skills with an attacker perspective — able to anticipate and simulate real-world attacks. Experience in penetration testing, automated testing, or testing frameworks (JUnit, pytest, REST Assured, Playwright). Security certifications preferred (GIAC, OSCP, CEH, CISSP, CCSP, or equivalent). 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. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $177,300 — $265,900 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 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.

• 5+ лет в инженерии, из них 3+ в автоматизации (в основном backend).

Mujin is looking for a Software Engineer to develop and maintain high-performance software for industrial robotics and backend systems.

Together AI is looking for Staff Engineers Distributed Storage HPC and AI Infrastructure to design and operate multi-petabyte AI storage systems and Kubernetes-native platforms.

Anthropic is looking for an IT Systems Engineer Client Platform Engineer ChromeOS to own and scale ChromeOS device management for vendor teams.

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. As a Senior Software Engineer, you will bring deep technical expertise, creative problem-solving, and strong communication skills to the design and development of cloud platforms, developer tools, and full-stack applications. You will help drive architectural decisions, build and scale production services, improve developer workflows, and establish engineering best practices. You will also serve as a technical resource for other engineers and users, providing technical guidance, documentation, troubleshooting, setup assistance, and expertise for the systems and tools you help build. Responsibilities Design, build, and maintain scalable, secure, reliable, and cost-effective cloud services on AWS, with a focus on serverless and event-driven architectures. Architect and implement production AWS solutions using services such as Lambda, Step Functions, ECS, DynamoDB, S3, and related technologies. Design and develop web applications and services spanning front-end, back-end, APIs, databases, and cloud infrastructure. Integrate cloud services with internal and external systems using secure, reliable, and maintainable interfaces and engineering practices. Design for operational reliability, including robust error handling, monitoring, and recovery from failures. Diagnose production issues and identify performance, reliability, usability, and developer-experience improvements. Collaborate with engineers, users, and partner teams to understand requirements, evaluate technical tradeoffs, and deliver practical solutions. Contribute to technical documentation, engineering standards, code reviews, and architectural decisions. Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience. 5+ years of professional software engineering experience in cloud platforms, backend systems, or related fields. Strong proficiency in Python, including software design, automated testing, and dependency management. Hands-on experience designing and implementing production systems on AWS. Experience with distributed, asynchronous, or event-driven system architectures. Demonstrated experience shipping and supporting at least one production cloud service. Experience with infrastructure as code (IaC), particularly Terraform. Experience designing and integrating REST APIs or other service-to-service interfaces. Experience debugging complex systems and diagnosing issues across multiple services and components. Strong written and verbal communication skills and the ability to collaborate effectively across teams. Desired Qualifications Experience with serverless and container-based AWS technologies such as Lambda, Step Functions, ECS/Fargate, DynamoDB, S3, API Gateway, SQS, SNS, or EventBridge. Experience with AWS security and identity concepts, including IAM, least-privilege access, secrets management, and service-to-service authentication. Experience with observability, tracing, monitoring, and debugging using tools such as Amazon CloudWatch and AWS CloudTrail. Experience designing CI/CD pipelines and automated deployment workflows. Experience developing full-stack web applications using technologies such as JavaScript/TypeScript, React, Node.js, Java, or SQL databases. Experience designing internal developer platforms, workflow systems, or developer-facing tools. Familiarity with Agile development methodologies such as Scrum. Familiarity with mobile application development, particularly Android or iOS. Familiarity with the PlayStation ecosystem. 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. $193,300 — $289,900 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 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: Americas; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. THE ROLE We are looking for a Senior Product Data Scientist who is deeply product-minded and highly proactive. This is not a role for someone who waits for perfectly defined questions or works in isolation. We are looking for someone who actively looks at our data, understands our customers’ pain points, identifies opportunities, and pushes ideas forward. You will work closely with Product, Engineering, and Analytics to shape what we build, why we build it, and how we measure success. Your work will directly power customer-facing features such as LTV prediction, experimentation and statistical significance, benchmarking, and entirely new data-driven products we have not built yet. You will be expected to bring ideas to the table, backed by analysis and clear hypotheses, and to influence product direction through data. Our data stack includes a Python backend, PostgreSQL production databases, Snowflake, dbt, and AWS. WHAT YOU WILL DO - Proactively explore RevenueCat’s data to identify customer problems, opportunities, and product bets. - Translate ambiguous product and business problems and questions into clear analyses, models, and recommendations. - Partner with Product Managers to shape roadmaps, not just execute on them. - Design, build, and ship production-grade predictive and descriptive models that power customer-facing features. - Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting. - Communicate insights clearly and persuasively to technical and non-technical audiences, with a focus on customer impact. - Continuously iterate on shipped models and features based on real-world usage and feedback. This role has real ownership. You will not just support decisions, you will help drive them. ABOUT YOU You are a Senior Data Scientist who cares deeply about impact and product outcomes. From a skills perspective, you bring: - 5+ years of experience working as a Data Scientist. - Strong SQL skills and comfort with data modeling. - Experience building and deploying predictive and descriptive models in production. - Experience writing or collaborating on production-ready Python code. - A solid understanding of statistics and experimentation, ideally including Bayesian approaches. - The ability to clearly explain complex ideas and results to broad audiences. You recognize yourself in several of these: - You are highly proactive and opinionated, and you are comfortable pushing ideas forward. - You enjoy working with messy, real-world data and imperfect information. - You care more about creating customer value than academic elegance. - You are comfortable operating in ambiguity and building structure where none exists. - You enjoy working closely with Product teams and influencing decisions. - You are excited by the consumer subscription ecosystem and curious about how developers make money. WHAT SUCCESS LOOKS LIKE IN THE FIRST MONTH, YOU'LL: - Understand our data models. - Get to know the team. - Ramp up on the ongoing data feature work. - Implement and ship your first project. WITHIN THE FIRST 3 MONTHS, YOU'LL: - Meaningfully contribute to shipping a data feature to thousands of developers. - Learn the basics of incident response, and be part of the on-call rotation. - Work with our Product, Analytics and Engineering teams to improve our data pipelines for data science features. - Launch your own explorations into our data to fulfill your own curiosity. WITHIN THE FIRST 6 MONTHS, YOU'LL: - Own one or more core data-powered features end to end. - Influence the data feature roadmap with clear, data-backed proposals. - Be a go-to partner for product teams on data-driven decision making. WITHIN THE FIRST 12 MONTHS, YOU'LL: - Propose and lead entirely new data-driven product initiatives. - Push the boundaries of how RevenueCat uses data to help developers grow revenue. - Help shape how data science operates at RevenueCat as the function grows. WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21