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Location: Remote 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. RESPONSIBILITIES - Kubernetes Ownership: Manage and scale Kubernetes clusters on AWS EKS, ensuring reliability, performance, and security. - Infrastructure Automation: Implement and maintain Infrastructure-as-Code (Terraform/Pulumi) to automate infrastructure provisioning and management. - Performance Optimization: Monitor and optimize system performance, scalability, and resource utilization. - Blockchain Infrastructure: Configure and maintain crypto nodes across multiple blockchains to support our wallet’s operations. - Database Scaling: Optimize and scale database infrastructure to handle terabytes of blockchain data efficiently. - System Reliability: Continuously improve system uptime, monitoring, and observability using tools like Datadog and OpenTelemetry. - Collaboration: Work closely with backend and product teams to support feature development and system scaling. QUALIFICATIONS - 5+ years in a SRE or Software Engineer role. - Strong hands-on experience with Kubernetes (EKS) in production environments. - Proficiency with AWS infrastructure and services (EC2, S3, RDS, IAM). - Solid experience with Docker and Infrastructure-as-Code tools like Terraform or Pulumi. - Monitoring and observability experience using tools like Datadog or OpenTelemetry. The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer. 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.

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking an exceptional Data Engineer II to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Build, optimize, and maintain data pipelines that power our business Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies Protect our users’ privacy and security through best practices The ideal candidate has: 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality). Expertise in SQL and Python Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake) Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry. Familiarity with healthcare or insurance Familiarity with data security and HIPPA compliance A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use: Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $ 138,000 - $160,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Brussels; Rome; Barcelona; Zug; Porto; Cape Town; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Dubai; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Abu Dhabi; Lisbon; Tallinn; London OR Brussels; Seychelles; Rotterdam; Krakow; Johannesburg; Zagreb SENIOR DATA ENGINEER ABOUT KEYROCK Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we partner with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from self-taught DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, and Singapore, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 trading venues, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. ABOUT THE TEAM AND WHY THE ROLE EXISTS The Central Data Team (CDT) is only a few months old, but data has been Keyrock's lifeblood since day one. We're now building the Keyrock Data Platform to give Keyrockers, and the AI agents working alongside them, the data and context they need to act fast and autonomously within agreed boundaries and aligned with our shared goals. Doing that means taking data from across the company and making sense of it in real time for all the functions that depend on it: trading desks, wealth and asset management, product, risk, finance, compliance, and research to name a few. You'd be one of the early hires in CDT and we expect you to contribute to most of the bigger decisions and build work. The standards we settle on and the way the team ends up working are still open. WHAT YOU’LL DO - Build streaming and batch pipelines that ingest, normalise, and distribute market, trading, and portfolio data, resilient to feed and exchange failures. - Build the self-serve tooling (SDKs, patterns, templates, AI agents) so other teams publish, consume, and build on data products without waiting on us. - Own data contracts and schema evolution. Keep schema changes from turning into multi-team coordination events. - Design the lakehouse and time-series layer around consumer query patterns. - Build and evolve the Data Governance and Data Quality Framework: stale-feed detection, schema validation, range checks, idempotent writes, lineage, ownership, self-healing. - Build the derived analytics the business runs on: cross-exchange spreads, VWAP at depth, order book microstructure for the desks; portfolio views, exposure, performance for wealth and asset management. - Make observability, cost, and performance first-class from day one. - Treat infrastructure as code (Docker, Terraform, CI/CD) alongside our Central Infrastructure Team. - Work in the open: write things down, partner closely with Architecture, Infrastructure, Platform, and the rest of the teams. WHAT WE’RE LOOKING FOR Tools matter less to us than how you think about problems. That said, here's the shape of the person we have in mind. Engineering Craft - 8+ years of building production data systems that other people rely on. - Strong proficiency in Python and SQL: not just being able to write a query, but being able to reason about what the engine is doing with it. - Code that's easy for someone else to read, test, and delete later. - Strong understanding of data modelling for both streaming and analytical workloads. - Efficiency, quality, idempotency, and observability are taken seriously by default. Systems Design - You've designed and operated streaming systems on Kafka, Redpanda, MSK, or Kinesis, and you have opinions about partitioning, consumer groups, offsets, and schema registries. - You've used a time-series store in production (ClickHouse ideally; TimescaleDB, QuestDB, or similar are fine too) and can talk about table design as a function of query patterns. - You've worked with a lakehouse architecture and reason about table layout, partitioning, and compaction as design choices that shape query performance and storage cost. - You build for self-healing and idempotency. Reprocessing is safe, retries don't double-write, and the system recovers without a human in the loop. Operational Readiness - Docker, Terraform, and CI/CD are how you work, not a separate "DevOps" thing. - You think about cost and performance early. - You instrument as you build: logs, metrics, and traces are part of the system from day one. - You design for data quality and governance up front covering contracts, validation, lineage, and ownership How You Think and Work - You reason from first principles when a problem is new, stay pragmatic when it isn't, and update your view when you learn more. - You treat the trading desks, wealth and asset management, product, risk, finance, compliance, and research as customers of what you build, and communicate with them that way. - You optimise for outcomes over output. A smaller, simpler thing that ships and works beats a bigger thing that doesn't. - You take ownership end-to-end: design, ship, operate, improve. - You say what you think including when it's an unpopular take. You change your mind when the argument is better. - You make the people around you better. Reviews are real, juniors grow from working with you, and peers want to work with you again. - You're curious about how markets work. Data engineering on its own won't keep you interested here. - You're honest about what you know and what you don't, and quick to close the gap. - You understand financial market data: order books, trades, reference data, portfolios, exposures. Crypto, TradFi, or both are a strong plus. NICE TO HAVE - Lakehouse experience with Apache Iceberg or Delta Lake. - Familiarity with DataHub or similar metadata/lineage platforms. - Rust. Some of our performance-critical services are written in it. Interest is welcome; fluency isn't required. WHAT YOU’LL GET - A from-scratch mandate. You'll be among the first hires in CDT, and the platform, the standards, and the team culture are yours to shape with us. - Strong partners. Close working relationships with Architecture, Infrastructure, Platform, and the desks themselves. You won't be building data in a vacuum. - Autonomy on how you work. Flexible hours, remote-first, business-hours on-call shared across the team. - A competitive salary package, with various benefits. - A team that likes each other. Regular online get-togethers and a yearly onsite where everyone's in the same room. OUR RECRUITMENT PROCESS We’re after those with the right skills and a conscious choice to join our field. The perfect fit? Someone who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock

Location: Vancouver, BC Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . What you’ll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means, who owns it, and where to find it. Partner with peers across DS&A to keep KPI definitions consistent where domains overlap. Author data contracts and SLAs at the Silver→Gold boundary, partnering with Horizontal Data Engineering on the inputs you depend on, and owning data quality, freshness, and oncall for Gold/metric-mart failures in your domain. Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to translate insight requirements into trusted, reusable products rather than one-off builds. Partner directly with Product & Business, Data Science, and Engineering to turn ambiguous, underspecified questions into scalable datasets — anticipating downstream reporting impacts before they become incidents, and raising the data-model quality bar across the domains you touch. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . 4+ years in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning the data models a team relies on for decisions . Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design. Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks experience preferred). Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning. Demonstrated domain fluency in at least one business area (e.g. PLG funnels, SLG pipeline, marketing attribution, Product telemetry, revenue/ARR) and the judgment to translate "I don't trust this number" into a specific, durable model fix. Strong cross-functional partnership skills: requirement gathering, prioritization, documentation and enablement, driving alignment on metric definitions, and explaining technical tradeoffs to non-technical partners . Curiosity about AI-native a nalytics — NL2SQL, metadata/semantic layers for self-serve, and using tools like Claude and Genie to multiply your reach rather than replace rigor. Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation (Salesforce, Marketo, Gainsight) is a plus At A sana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet every listed requirement, we still encourage you to apply . What we’ll offer Generous, transparent and fair compensation system (base salary and RSUs) Health insurance with dental Breakfast and lunch catering on the da ys that you work from the office Home office setup budget Gym/Fitness card Fertility healthcare and family-forming support with Carrot Mental Health Support in Modern Health Group life insurance MacBo oks with all necessary accessories For this role, the estimated base salary range is between $106,000 - $120,000 CAD annually . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to 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 law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

We are looking for a Senior Software Engineer II, Applied AI to join our Agentic Systems team, where you'll build AI agents that automate workflows for teams across Wrapbook. Design and build production-grade AI agents with LangGraph that automate multi-step workflows for internal teams across Wrapbook.

Требования: — Быть зачисленным в бакалавриат по направлению электротехника, компьютерная инженерия или смежной области.

▪️ Администрирование и развитие гибридной Windows/Linux-инфраструктуры. ▪️ Поддержка Active Directory: несколько доменов, GPO, права доступа.

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. We are looking for an experienced Senior Data Engineer to design, develop and operate trusted, scalable data solutions that power decision-making and transformation across Sony Interactive Entertainment (SIE). Working within Enterprise Data Engineering, you will build reusable data pipelines, integration services and curated data products for business domains including Finance, Supply Chain, IT Operations, People & Places, and Sales & Operations. You will partner with engineering, platform, product and business teams, take end-to-end ownership of complex solutions, and raise engineering standards through technical leadership and mentoring. You will help create reliable, governed and AI-ready enterprise data foundations. Responsibilities Design and deliver enterprise data solutions ·       Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across enterprise systems, APIs, SaaS platforms and cloud data environments. ·       Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions. ·       Lead technical design for assigned initiatives, evaluate trade-offs, and ensure solutions are scalable, secure, maintainable and cost-effective. Own quality, reliability and operations ·       Own solutions throughout the engineering lifecycle, from requirements and design through deployment, monitoring, incident resolution and continuous improvement. ·       Implement automated testing, data validation, reconciliation, lineage, observability, alerting and operational runbooks. ·       Apply engineering practices including version control, code review, CI/CD, infrastructure automation and appropriate change controls; improve performance and platform efficiency. Provide technical leadership and collaborate ·       Mentor engineers, lead technical reviews and contribute to shared patterns, coding standards and communities of practice. ·       Partner with business stakeholders, architects, security, governance, analytics and platform teams to clarify requirements, dependencies and data ownership. ·       Proactively identify delivery risks, technical debt and cross-team dependencies; communicate progress, options and recommendations clearly. ·       Enable trusted data for analytics, planning, automation and AI use cases while respecting privacy, security and access controls. Skills and Qualifications ·       Typically 6+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions. ·       Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks. ·       Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies. ·       Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles. ·       Experience with orchestration, Git-based workflows, automated testing, CI/CD, monitoring and troubleshooting production data services. ·       Understanding of data security, access management, data quality, governance and regulatory considerations in enterprise environments. ·       Ability to influence technical decisions, mentor peers and communicate effectively with engineering and non-technical stakeholders. ·       Bachelor’s degree in a relevant discipline or equivalent practical experience. Desirable Experience ·       Enterprise integration experience with SAP S/4HANA, financial planning systems, supply chain applications, ServiceNow or HR platforms. ·       Experience with AWS services, APIs, event-driven integration and infrastructure as code. ·       Experience building reconciled financial data, master/reference data or enterprise operational data products. ·       Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices. ·       Experience working with globally distributed teams and supporting cross-functional transformation programmes. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €87.800 — €131.800 EUR Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Europe Workplace: Remote Asymmetric Research: Asymmetric Research is a specialized security firm focused on long-term, integrated partnerships with L1/L2 blockchains and DeFi protocols. We help teams build resilient systems, strengthen security posture, and proactively address emerging threats. Culture: AR is a fully remote organization and members of our team have been strongly committed to open-source values for decades, having worked at organizations with deep open-source roots and strong security programs including Google, Netflix, Mozilla, Stripe, and Jump Crypto. We pride ourselves on maintaining the highest levels of confidentiality, trust, and professionalism. About the Role: We are looking for a Site Reliability Engineer to join Asymmetric Research. In this role, you will design, operate, and scale mission-critical blockchain infrastructure supporting leading L1/L2 networks and DeFi protocols, working within a high-trust team to deliver secure, highly available, production-grade systems while driving automation, reliability, and operational excellence across our globally distributed environments. Responsibilities: - Manage and maintain a globally distributed blockchain infrastructure fleet - Design, architect, deploy, and operate production-grade infrastructure services - Implement and maintain infrastructure-as-code across development, staging, and production environments - Ensure high availability and performance of mission-critical systems - Contribute to automation, CI/CD pipelines, and operational tooling - Monitor system health and respond to incidents with strong troubleshooting fundamentals - Uphold the highest standards of integrity, professionalism, and operational discipline What we're looking for: - 2+ years of experience in a Site Reliability, DevOps, or Infrastructure Engineering role - Strong experience managing Linux systems and network infrastructure - Hands-on experience with load balancers and high-availability technologies (e.g., HAProxy, ALB/ELB) - Experience with configuration management tools (e.g., Ansible, Chef, Puppet, SaltStack) - Solid troubleshooting skills across hardware, networking, and software systems - Development experience in Go, Python, or Rust - Experience building and maintaining CI/CD pipelines and automated deployment workflows - Experience with open-source monitoring and observability tools (e.g., Grafana, Loki, Prometheus, Alertmanager) Good to have, not required: - Experience operating distributed systems using tools such as Nomad or Kubernetes - Familiarity with blockchain infrastructure, including Bitcoin, Ethereum, Solana, Cosmos, or Move-based ecosystems Benefits: - 25+ days of paid time off - Comprehensive stipends for home office, wellbeing, professional development, and more - Pension/401(k) programs - Life insurance - Premium healthcare - Competitive base salary - Lucrative bonus programs

Location: New Jersey; New York; Connecticut Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. Requirements: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $200k–$250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. No Visa sponsorship We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

About Us: At Medify, we’re on a mission to widen access to medicine and healthcare careers through world-class digital learning experiences. Since 2009, we’ve helped thousands of students prepare for high-stakes admissions tests, and we’re continuing to invest in our technology to build innovative, scalable products that support learners around the world. The Role: As an Engineering Manager, you’ll play a pivotal role in shaping both our engineering culture and technical direction. Working closely with the CTO, Product and Design teams, you’ll lead a team of talented full-stack engineers, helping them grow while ensuring we continue to deliver high-quality software that delights our users. This is a hands-on leadership role, with at least 50% of your time dedicated to engineering. You’ll contribute across the full software development lifecycle - from architecture and design through to development, testing and deployment - while driving engineering excellence and fostering a collaborative, high-performing team. Our current technology stack includes Ruby on Rails, React, PostgreSQL, with infrastructure transitioning from Heroku to AWS. Key Responsibilities: — Lead, mentor and support a team of full-stack engineers through coaching, regular 1:1s and performance reviews. — Foster a culture of continuous learning, collaboration and technical excellence. — Support career development, engagement and long-term capability building across the engineering team. — Contribute to hiring by supporting interviews and recruitment of exceptional engineering talent. — Design, develop and maintain scalable, high-quality software solutions. — Collaborate closely with Product and Design teams to translate requirements into technical solutions. — Participate in architectural decisions and help shape the future of the Medify platform. — Conduct thoughtful code reviews and promote engineering best practices. — Troubleshoot and resolve software issues while maintaining high standards of reliability and performance. — Develop automated tests and contribute to a robust testing culture. — Participate in agile planning, backlog refinement and sprint delivery. — Stay up to date with emerging technologies and identify opportunities to improve our engineering practices. About You: You’ll be a technically strong engineering leader who enjoys developing people just as much as building great software. You’re comfortable balancing strategic leadership with hands-on development and thrive in a fast-moving, collaborative environment. You’ll ideally have: — 2+ years’ experience leading or managing software engineering teams. — 5+ years’ experience in software development. — Strong experience with modern software engineering practices and frameworks. — Experience with Ruby on Rails and React (highly desirable). — A proven track record of building scalable, maintainable software. — Experience working in Agile development environments. — Experience collaborating with cross-functional Product and Design teams. — Experience recruiting, mentoring and developing engineers. — Strong communication and stakeholder management skills. — Excellent problem-solving ability with a focus on quality and continuous improvement. Qualifications: Degree in Computer Science, Engineering or a related discipline is desirable, but not essential. Technical Skills: — Strong knowledge of modern programming languages and software frameworks. — Excellent understanding of software architecture, design principles, data structures and algorithms. — Experience working with relational databases, APIs and networking. — Knowledge of automated testing frameworks and software quality practices. — Familiarity with DevOps tools and deployment pipelines. — Ability to quickly learn and adopt new technologies. — Excellent collaboration and communication skills. What We Offer: — Fully remote working with flexibility and autonomy. — The opportunity to shape the future of Medify’s technology platform. — A supportive, collaborative engineering culture that values continuous learning. — A hands-on leadership role with real technical influence. — The opportunity to work on products that positively impact thousands of aspiring healthcare professionals every year. — Competitive salary and benefits package. How to Apply: If you’re passionate about building exceptional software, developing high-performing engineering teams and making a meaningful impact in education, we’d love to hear from you. Submit your application along with your CV using the link attached.

Задачи: — администрировать и развивать Windows/Linux-инфраструктуру; — поддерживать Multi-domain Active Directory, GPO, DNS и DHCP; — работать с VMware vSphere: ESXi, vCenter, кластеры и vSAN; — администрировать Proxmox VE, виртуальные и Bare Metal-серверы; — поддерживать RDS farm и FSLogix для 100+ пользователей; — настраивать мониторинг в Zabbix; — автоматизировать задачи с помощью PowerShell; — диагностировать проблемы и повышать стабильность и отказоустойчивость инфраструктуры. Требования: — уверенный практический опыт с Active Directory в multi-domain среде; — хорошие знания VMware и опыт работы с Proxmox VE; — опыт администрирования RDS и FSLogix; — навыки работы с физическими серверами и PowerShell; — самостоятельность, ответственность и умение разбираться в технических проблемах. Условия: — формат работы: удалённо; — график: 5/2, 09:00–18:00; — опыт: от 3 лет на аналогичной позиции; — локации: Кыргызстан, Азербайджан, Грузия, Армения, Узбекистан, Молдова, Украина.

Location: Argentina Workplace: fully About the Client Our client provides payment infrastructure for businesses and merchants. Its platform brings together card payments, payouts and other payment methods for international customers. Role Overview Take ownership of complex payment issues, from the first report to the root cause and lasting fix. You will work with skilled developers during incidents and turn investigation findings into better support practices. This is a hands-on role with scope to help develop the support function as the business grows. Key Responsibilities Own technical support requests from B2B merchants and payment providers in Russian and English through to resolution. Investigate the root causes of complex payment issues and drive corrective actions beyond standard troubleshooting. Analyse transaction failures using transaction IDs, logs, API responses and JSON fields, including `status_code`, `transactionStatusReason` and 3D-Secure timeouts. Coordinate incident response with the development team, from initial alert through resolution. Manage daily refund requests and related dispute cases through to closure. Build and maintain internal Knowledge Base articles based on complex investigations. Requirements 1–2+ years of experience in B2B technical support, integration support or technical account management. Hands-on experience in payments at a payment gateway, bank or payment orchestration platform. Experience reading JSON, working with APIs in Postman and investigating issues in Kibana, Datadog or similar logging tools. Practical understanding of Auth, Capture, Sale, Refund and Chargeback, and how 3D-Secure 2.0 works. Experience investigating payment transaction failures using logs, API responses and transaction identifiers. Languages: English B2, Russian Fluent. Experience in fintech Key Soft Skills Stays calm and focused when prioritising actions during live incidents. Uses evidence and logical reasoning to assess problems and choose next steps. Spots emerging issues early and follows through without waiting for direction. Looks for the cause of an issue rather than stopping at a temporary fix. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture: no bureaucracy, direct access to the Head of Support and the engineering team, and modern tools High-impact role in a scaling fintech company: help build the support function from the ground up, with a path to Team Lead or a move into integrations or development Recognition of personal milestones and achievements Fully remote work arrangement from anywhere in the world

Location: Kyrgyzstan Workplace: none About the Client Our client provides payment infrastructure for businesses and merchants. Its platform brings together card payments, payouts and other payment methods for international customers. Role Overview Take ownership of complex payment issues, from the first report to the root cause and lasting fix. You will work with skilled developers during incidents and turn investigation findings into better support practices. This is a hands-on role with scope to help develop the support function as the business grows. Key Responsibilities Own technical support requests from B2B merchants and payment providers in Russian and English through to resolution. Investigate the root causes of complex payment issues and drive corrective actions beyond standard troubleshooting. Analyse transaction failures using transaction IDs, logs, API responses and JSON fields, including `status_code`, `transactionStatusReason` and 3D-Secure timeouts. Coordinate incident response with the development team, from initial alert through resolution. Manage daily refund requests and related dispute cases through to closure. Build and maintain internal Knowledge Base articles based on complex investigations. Requirements 1–2+ years of experience in B2B technical support, integration support or technical account management. Hands-on experience in payments at a payment gateway, bank or payment orchestration platform. Experience reading JSON, working with APIs in Postman and investigating issues in Kibana, Datadog or similar logging tools. Practical understanding of Auth, Capture, Sale, Refund and Chargeback, and how 3D-Secure 2.0 works. Experience investigating payment transaction failures using logs, API responses and transaction identifiers. Languages: English B2, Russian Fluent. Experience in fintech Key Soft Skills Stays calm and focused when prioritising actions during live incidents. Uses evidence and logical reasoning to assess problems and choose next steps. Spots emerging issues early and follows through without waiting for direction. Looks for the cause of an issue rather than stopping at a temporary fix. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture: no bureaucracy, direct access to the Head of Support and the engineering team, and modern tools High-impact role in a scaling fintech company: help build the support function from the ground up, with a path to Team Lead or a move into integrations or development Recognition of personal milestones and achievements Fully remote work arrangement from anywhere in the world

Location: Belarus Workplace: fully About the Client Our client provides payment infrastructure for businesses and merchants. Its platform brings together card payments, payouts and other payment methods for international customers. Role Overview Take ownership of complex payment issues, from the first report to the root cause and lasting fix. You will work with skilled developers during incidents and turn investigation findings into better support practices. This is a hands-on role with scope to help develop the support function as the business grows. Key Responsibilities Own technical support requests from B2B merchants and payment providers in Russian and English through to resolution. Investigate the root causes of complex payment issues and drive corrective actions beyond standard troubleshooting. Analyse transaction failures using transaction IDs, logs, API responses and JSON fields, including `status_code`, `transactionStatusReason` and 3D-Secure timeouts. Coordinate incident response with the development team, from initial alert through resolution. Manage daily refund requests and related dispute cases through to closure. Build and maintain internal Knowledge Base articles based on complex investigations. Requirements 1–2+ years of experience in B2B technical support, integration support or technical account management. Hands-on experience in payments at a payment gateway, bank or payment orchestration platform. Experience reading JSON, working with APIs in Postman and investigating issues in Kibana, Datadog or similar logging tools. Practical understanding of Auth, Capture, Sale, Refund and Chargeback, and how 3D-Secure 2.0 works. Experience investigating payment transaction failures using logs, API responses and transaction identifiers. Languages: English B2, Russian Fluent. Experience in fintech Key Soft Skills Stays calm and focused when prioritising actions during live incidents. Uses evidence and logical reasoning to assess problems and choose next steps. Spots emerging issues early and follows through without waiting for direction. Looks for the cause of an issue rather than stopping at a temporary fix. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture: no bureaucracy, direct access to the Head of Support and the engineering team, and modern tools High-impact role in a scaling fintech company: help build the support function from the ground up, with a path to Team Lead or a move into integrations or development Recognition of personal milestones and achievements Fully remote work arrangement from anywhere in the world

Задачи: — Взаимодействие с data scientists, инженерами, аналитиками и бизнес-стейкхолдерами. — Английский язык для работы с зарубежной документацией, командами и стейкхолдерами. — Процесс. Требования: — Коммерческий опыт в ML/ML Engineering от 3 лет, уровень Middle+ / Senior. — Уверенное владение Python:pandas, NumPy, scikit-learn, PyTorch.

Location: Tbilisi; Chișinău; Minsk; Warsaw Workplace: hybrid About the Role:     Our National Retail Solutions brand is a highly successful Point-of-Sale (POS) SaaS business, rapidly expanding into new sectors with over 40,000 software and hardware terminals in independent retailers like: convenience stores, bodegas, liquor stores, small grocers, and tobacco shops.  We’re looking for a highly technical, hands-in-code Engineering Manager, with experience building highly scalable and robust systems who wants to focus on: 1. Team Building: Hiring, Coaching, Firing. 2. Engineering Process: Agentic Development. 3. Technical Leadership. You’ll work cross-functionally with engineering, design, operations, go-to-market teams, and executive leadership to create intuitive, scalable products that solve real operational challenges for our customers. This is an opportunity to build meaningful products from the ground up in a fast-moving environment where customer empathy, speed, and product quality matter. Requirements: Proven Leadership Experience: 5+ years in technical leadership and people management at a SaaS business. Product background: Experience building Point-of-Sale (POS) systems is a strong plus. Technical Depth: Proven background as a software engineer with a track record of driving large-scale distributed systems or complex platform architectures. Talent Development: Proven experience in scaling engineering orgs (e.g., growing teams from 10 to 15 engineers) and building career frameworks. Communication & Influence: Exceptional stakeholder management skills with experience presenting to executive leadership and non-technical stakeholders. Language Proficiency: Good command of English, at B2 level or higher. Will be a plus: Professional fluency in Russian. Experience with AngularJS, PHP, and PostgreSQL. Experience with document databases and caching frameworks. Experience building Point-of-Sale (POS) and/or e-commerce systems, as well as working with payment systems. We offer you: Hybrid/office in Belarus or remote b2b in Poland/Georgia. Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk office employees. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.  We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. Our National Retail Solutions brandprovides a sales management system and POS equipment to small and medium-sized businesses. With the help of NRS, business owners can solve a management problem: the product includes integrated advertising, data analysis, and payment processing.

Location: Москва Мы — технологическая команда, создающая инновационные решения для спорта. Наш продукт направлен на трансформацию и объективизацию судейства. Мы ищем опытного специалиста в области MLE для участия в разработке и развитии наших решений. **Предстоит** работать с ключевым функциональным и архитектурным ядром нашей системы видеоаналитики, а именно: Обязанности * работать со скелетом как с многомерным временным рядом: сегментация выступления на элементы и фазы, детекция границ (отрыв, приземление, точки экстремума), выделение повторяющихся циклов, temporal action detection на видеопотоке, сглаживание и агрегация предсказаний по времени * участвовать в проектировании API, внутренних контрактов и структуры данных * оптимизировать модели для достижения целевых показателей задержки * развивать высокопроизводительный Python-фреймворк для CV/ML-пайплайна на более чем 15 моделей, работающих единовременно * реализовывать механизмы обработки с multiprocessing и multithreading. Обеспечивать эффективную оркестрацию между CPU и GPU-ресурсами * минимизировать накладные расходы на межпроцессное взаимодействие, копирование данных и работу с памятью. Проводить профилирование и устранять узкие места в video I/O, decode, inference и postprocessing * проводить профилирование и устранять узкие места на всех этапах: Video I/O, декодирование, препроцессинг, инференс, постобработка. Требования * опыт работы ML Engineer / CV Engineer от 3 лет * высокое качество кода на Python (OOP, Pydantic, SQLAlchemy, для DS - NumPy, OpenCV, PyTorch) * опыт реализации сложной вычислительной или бизнес-логики * практический опыт разработки production-ready ML/CV pipeline * опыт работы с видеоаналитикой, обработкой видео или потоковых данных * понимание особенностей Python runtime для высокопроизводительных пайплайнов: GIL, IPC, serialization, shared memory * опыт использования инструментов ускорения инференса: ONNX, TensorRT, TorchScript или аналогов * опыт работы с Linux, Docker, работы в команде в Git, CI/CD Будет плюсом: * опыт разработки расчетных систем * PostgreSQL, ClickHouse, SQLAlchemy * владение компилируемыми языками, такими как Go или C++, для реализации или оптимизации критичных по производительности частей системы * опыт работы со спортивной аналитикой или системами судейства. Условия * комфортный современный офис рядом с м. Кутузовская  * гибридный формат работы * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития  * программа адаптации и помощь руководителя на старте  * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа  * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких  * вознаграждение за рекомендацию друзей в команду Сбера.