Вакансии

- Принимать участие в разработке go sdk для облачной платформы и других сервисов; - Принимать участие в разработке terraform провайдера для облачной платформы и других сервисов;

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken’s Core Infrastructure Engineering team builds and operates the shared data systems behind critical production services. Our estate spans on-premises and cloud infrastructure, with MariaDB at its centre and Kafka, Redis and Elasticsearch across the wider platform. We’re hiring a Principal Database Engineer to bring long-term experience and technical judgment to this estate. You’ll assess it, set the goals and direction, and work hands-on with the team to deliver measurable improvements. This is an individual contributor role with influence across teams and several quarters of work.   THE OPPORTUNITY - Review the estate against business needs and production evidence. Judge reliability, scale, cost and operational complexity, identifying what should be preserved and where investment or simplification would make a difference. - Define the target architecture and measurable goals. Agree a prioritised roadmap with engineering leads and dependent teams, explaining the trade-offs and sequencing work around delivery risks. - Execute that roadmap with the team through design, implementation and adoption. Stay personally involved in difficult migrations and scaling decisions, with representative benchmarks, data-integrity checks and credible cutover and rollback plans. Adapt the plan as evidence changes and verify the results in production before calling the work complete. - Investigate difficult MariaDB failures and performance limits through the engine, storage and application behaviour. Improve fleet reliability through useful observability, safer changes and tested backup, restore and disaster recovery procedures. Set recovery objectives with service owners and prove them through exercises. - Build and maintain production software for database provisioning, upgrades and routine maintenance. Make self-service workflows safe and auditable, incorporating access controls and change evidence with Security and Compliance. - Work with application teams on schemas, transaction boundaries, queries and data-store choices. Make the operational consequences clear and resolve dependencies that span teams. - Mentor engineers across the team through design reviews, pairing and incident analysis. Help them deepen their database expertise and take ownership of technical decisions. - Participate in on-call and incident response, leaving clear operational ownership and following through on lessons from production.   WHAT YOU BRING - 8+ years operating and evolving production database estates at scale. You have assessed inherited systems, set technical direction and delivered improvements with engineering teams, and can explain how those decisions held up over time. - Strong understanding of high availability, replication and distributed database failure modes. You can explain consistency and availability trade-offs and reason about transaction boundaries and reliable event delivery, including transactional outbox patterns. - Deep, recent hands-on MariaDB expertise, including InnoDB, MVCC and transaction isolation, locking, query optimisation, binary logs and MariaDB GTID replication. You can explain the mechanisms and diagnostic evidence behind your decisions. - Personal ownership of MariaDB incident diagnosis, performance tuning and tested restore or point-in-time recovery. You can explain what you did, how you established data integrity and what remained uncertain. - Strong software engineering skills in Python, Go, Rust or a comparable language. You have personally built and maintained production software or automation for database workflows such as provisioning, failover, online schema changes and self-service operations, using version control, code review and delivery pipelines, with tested failure handling. - Strong low-level Linux, Kernel, storage and networking fundamentals, with the ability to investigate problems beyond the database process. - Clear written technical judgment and demonstrated delivery across teams without reporting-line authority. You help stakeholders make sound database design and lifecycle decisions, and develop experienced engineers through shared delivery.   NICE TO HAVES - Experience operating databases in containerised, hybrid on-premises/cloud or multi-region environments. Familiarity with Kubernetes, infrastructure as code or GitOps, including their operational trade-offs. - Experience with database proxies or load-balancing layers (MaxScale, HAProxy, ProxySQL, or similar). - Experience with PostgreSQL, Vitess, TiDB, ScyllaDB, ClickHouse or internal database platforms; operational knowledge of Kafka, Redis/Valkey or Elasticsearch/OpenSearch. - Experience in regulated environments or contributions to database engines, operators and other infrastructure software. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are seeking a Security Operations Engineer to own the daily operation and continuous improvement of Alpaca’s SIEM and SOAR capabilities. You will onboard security logs, develop and tune detections, keep alerts actionable, maintain operational dashboards, and automate repeatable response actions. You will be hands-on and operationally minded. You will keep log onboarding, detection quality, and alert handling consistent, and you will turn security signals into action as the business grows. This role reports to the Enterprise Security Architect and works closely with Security, IT, DevOps, and Engineering. The Security Team is 100% distributed and remote. Things You Get To Do: The core responsibilities of the Security Operations Engineer are focused on detection, response automation, operational excellence, and cross-functional coordination. SIEM Operations and Detection Engineering: Log Onboarding: Onboard new security log sources across cloud, identity, endpoint, SaaS, and application systems, including parsing, normalization, and data quality checks. Detection Development: Build, test, and tune detection rules based on threat intelligence, incident learnings, and emerging attack techniques, mapped to frameworks such as MITRE ATT&CK. Alert Quality: Tune, enrich, and manage the lifecycle of detections so alerts stay actionable. Detection Coverage: Maintain detections for critical systems and priority attack techniques. Operational Dashboards: Build and maintain dashboards for alert volume, ingest health, and response status. Incident Response & Metrics: Incident Support: Support security incidents with evidence collection, detection queries, and containment actions, working with IT, Engineering, and external partners. Runbooks: Develop and improve alert-handling and incident response runbooks and escalation paths. Operational Metrics: Track and report security operations metrics, including mean time to detect (MTTD) and mean time to respond (MTTR). On-Call: Participate in the Security Operations on-call rotation after onboarding and cross-training. SOAR and Response Automation: Playbooks: Design, build, and maintain SOAR playbooks that automate repeatable response actions, including enrichment, containment, ticketing, and notification. Triage and Investigation: Triage, investigate, and respond to security alerts across endpoints, identity, cloud, network, and application logs. Threat Hunting: Run hypothesis-driven hunts based on threat intelligence and incident learnings, and turn findings into new detections. Who You Are (Must-Haves): Excited about Alpaca’s mission and what we’re building 3+ years of experience in Security Operations or detection engineering roles Hands-on experience operating and tuning a SIEM Experience building SOAR playbooks or equivalent response automation Working with Linux Scripting or automation experience (Python, Bash) for security operations tasks Experience onboarding and parsing log sources from cloud, identity, and SaaS platforms Strong alert investigation skills across identity, endpoint, network, and cloud environments Understanding of common attacker techniques and detection methodologies Experience supporting security incidents, including evidence collection, detection queries, and containment Willing to participate in an on-call rotation Strong written and verbal communication skills, especially during incidents Comfortable working cross-functionally and handling escalations calmly and decisively Who You Might Be ( Nice-to-Haves): Experience securing financial, trading, or other highly regulated platforms Familiarity with compliance frameworks such as SOC 2 or ISO 27001 Experience with detection-as-code, GitOps, and CI/CD pipelines Knowledge of cloud security logging (AWS/GCP/Azure) and SaaS security telemetry Familiarity with Kubernetes-hosted security tooling Experience working with a managed SOC or MSSP Security certifications (GCIA, GCIH, GCED, or similar) Ability to balance security rigor with operational efficiency and business needs How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. 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Задачи: — Работа DevOps-инженером над высоконагруженными веб-приложениями в аккредитованной IT-компании. Требования: — Опыт работы с Linux, CI/CD, Nginx, HAProxy, Kubernetes, Docker, Docker Compose, Dockerfile. Условия: — Удалённая работа.

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: We are seeking an AI Security Engineer to own the technical security controls for how Alpaca uses AI. The scope includes identity for AI agents and automations, security requirements for AI tools and integrations, guardrails, and security logging. You will also assist in developing AI-powered security tooling. You will keep those controls consistent as AI adoption grows, and you will work with the teams building with AI so security is part of the design. This role reports to the Enterprise Security Architect and works closely with AI Enablement, Engineering, DevOps, GRC, and the wider Security team. The Security Team is 100% distributed and remote. Things You Get To Do: The core responsibilities of the AI Security Engineer are focused on AI access controls, secure AI platforms, guardrails, visibility into AI usage, and AI-powered security tooling. AI Identity and Access Controls: Agent Identity: Define how AI agents, bots, and automations authenticate, what they can access, and how their actions are attributed and audited. Tool Access: Own security requirements for AI tool integrations, including least-privilege access and credential handling. AI Assistant Controls: Define and enforce security settings for approved AI tools, including data handling and access policy. Least Privilege: Limit each agent and integration to the access it needs, and review that access when the integration changes. Secure AI Platform, Tooling, and Response: Security Requirements: Define security requirements for internal AI applications, including identity, data handling, secrets, and review of new integrations. Guardrails: Design and implement guardrails for AI applications and agents. Design Reviews: Review new AI applications and integrations for security risks, and give builders clear, practical requirements. Security Tooling: Assist Security Operations in developing AI-powered tooling that supports detection, investigation, and response work. Safe Use in Security: Apply the same identity, data handling, and logging requirements to security team AI tools as to the rest of the company. Telemetry Requirements: Define the security logging AI systems must produce, and work with Security Operations on detection. Approved Use: Maintain visibility into AI tool usage and confirm it follows approved configurations. Incident Support: Lead the AI-specific aspects of security incidents, such as agent misuse or data exposure through AI tools. On-Call: Participate in the Security Operations on-call rotation after onboarding and cross-training. Governance: Standards: Turn AI security standards into technical controls. GRC Partnership: Partner with GRC on AI governance and provide technical evidence for control design. Who You Are (Must-Haves): Excited about Alpaca’s mission and what we’re building 2+ years of experience in security engineering, application security, or cloud security roles Hands-on experience securing LLM applications, AI agents, or AI developer tools Understanding of AI-specific risks, such as prompt injection, data leakage, excessive agency, and insecure tool use (for example, the OWASP Top 10 for LLM Applications) Experience with identity and access controls for services and non-human identities, including OAuth, service accounts, and secrets management Programming experience in Python or another general-purpose language Experience with CI/CD security checks and cloud-native deployments Experience with security operations or incident response Strong written and verbal communication skills, especially when explaining risk to non-security builders Comfortable working cross-functionally and making pragmatic security decisions Willing to participate in an on-call rotation Experience building AI-assisted workflows for security operations Experience building security telemetry for AI systems Who You Might Be ( Nice-to-Haves): Experience securing financial, trading, or other highly regulated platforms Experience securing enterprise AI coding tools and AI integrations Experience with policy-as-code and Kubernetes Familiarity with AI governance frameworks, such as the NIST AI Risk Management Framework or ISO 42001 Ability to balance security rigor with operational efficiency and business needs How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. 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Location: United States What the Role Is We’re hiring a Staff Software Engineer who’ll be the technical lead for a new Search team at Babylist. This new team will be focused on moving Babylist’s search capability in-house, making our search results more relevant and personalized, and partnering with other teams to transform search in the product from functional to delightful. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting search and personalization problems in consumer e-commerce. This is zero-to-one work, with big ambitions. You’d build a search capability from the ground up, with a clear mandate from leadership to do it. In your first year, we expect to have rebuilt search to be highly relevant and personalized, and delivered big bets like universal search: one experience across items we sell and items from other retailers, and across products, guides and registries. We also want to work with Addie, our AI registry assistant, to have LLMs play a role in the search experience. If you want to tune an established search system, this isn’t the right role. If you’ve worked inside a strong search team and want to build a new system from scratch at a company earlier in that journey, read on. What You'll Own A Staff Engineer at Babylist sets direction. You’ll be the technical lead for search: you decide where it goes over the next year or two, sequence the bets that get there, and make the technical and product calls along the way. You’re still in the code and will drive initiatives forward across multiple teams. You’ll have software engineering and machine learning engineering support on the team. A few examples of initiatives you’d drive on the Search team: Build search in-house. Choose the architecture for indexing, retrieval and serving, and plan a seamless migration. The system you design replaces what we use today and is the foundation for everything below. Define what a good result is. Decide how we measure result quality, then improve it through query understanding, ranking and the behavioral signals we collect. Unify search across everything we show. One experience across items we sell and items from other retailers, and across products, guides and registries, including how to rank items we don’t sell next to ones we do. Decide how search and recommendations fit together. Bring what we know about a user and their registry into results, and decide how much retrieval and ranking search shares with our recommendation models. Make search conversational. Work with the Addie team, our AI registry assistant, on queries like “best stroller for urban family,” where the shopper describes a need instead of naming a product. Like every Staff Engineer here, you will: Take a fuzzy business problem from the first sketch through to production, and stay on the hook for whether it actually helped customers. Build the platform or tooling other teams adopt by choice, and own it as it scales. Set the standard for how search builds with AI. Decide what good looks like, build the patterns and evals that get agents there and catch the output that's confidently wrong before it ships. Partner with product, design and data as a peer, shaping what's worth building from the start. Coach Senior engineers through the hard calls, the ambiguous ones as much as the technical ones Who You Are You meet the Staff bar at Babylist. You’ve shipped production systems for enough years to have earned strong opinions, and you hold them loosely. You can pick up an ambiguous problem and start moving before anyone hands you the full picture. You’ve already changed how a team builds with AI, and the new way stuck. On top of that, you’ve worked on search problems before, ideally in an e-commerce setting. This role needs depth in the systems behind search and a clear focus on the people using it. You bring: Hands-on search experience: building and running search in production, including indexing, retrieval, ranking and query understanding. You know how to keep a search service fast, relevant and reliable as traffic and catalog size grow. Experience evaluating search quality: offline and online, including relevance judgments and A/B tests. A focus on the user: you use query data, behavior and judgment about result quality to decide what to build, and you can connect a search change to what shoppers do, and to conversion or revenue. Comfort building from zero: you can define the problem, design the system and own it end to end. You measure yourself by impact: a customer outcome, or a system a dozen teams come to depend on. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things to Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

We are seeking a talented and experienced Blockchain Developer to join our growing technology team in the United States. Design, develop, and maintain blockchain-based applications and decentralized systems.

Location: New York ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Site Reliability Engineer (SRE) on the Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform. - Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence. - Drive continuous improvement in infrastructure automation, deployment, and orchestration. - Collaborate with software engineers to enable safe and reproducible model-training experiments. - Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in a DevOps or SRE role, ideally with expertise in bare metal infrastructure and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Workplace: Москва и Краснодар (гибрид/офис), другие города - удаленно Мы ищем ведущего ML-инженера, который возьмёт на себя развитие ML-направления в команде, работающей над продуктами для управления ценами, прогнозирования спроса и формирования коммерческих рекомендаций. Один из основных проектов — система рекомендаций регулярных цен на уровне SKU × магазин. Система анализирует исторические продажи, цены, промо, остатки, будущие поставки, характеристики товаров и магазинов, а также внешние данные, после чего: прогнозирует спрос при различных ценовых сценариях; оценивает ценовую эластичность рекомендует повышение, снижение или сохранение цены прогнозирует влияние решения на продажи, оборот, маржу и EBITDA рассчитывает уверенность модели и риск падения продаж позволяет сравнивать прогноз с фактическим эффектом после применения рекомендации Задачи Развивать модели прогнозирования спроса и ценовой эластичности Исследовать подходы к causal inference и оценки эффекта изменения цены Проектировать временную валидацию, backtesting и бизнес-метрики качества Работать с uncertainty, confidence, intermittent demand, cold start и long-tailSKU Разрабатывать логику выбора оптимальной цены с учётом бизнес-ограничений Организовать оценку plan/fact и мониторинг качества моделей Участвовать в проектировании feature engineering, batch training и batchinference на больших объёмах данных Проводить design review, code review Требования Сильную базу в классическом ML, статистике и работе с табличнымиданными Опыт с forecasting, временными рядами и gradient boosting: LightGBM,CatBoost или XGBoost Понимание causal inference и экспериментального дизайна Опыт доведения ML-моделей до production Уверенное владение Python и SQL Понимание временной валидации, data leakage, calibration и uncertaintyestimation. Опыт работы с Airflow или аналогичным оркестратором Понимание принципов распределённой обработки данных, партиционирования и оптимизации вычислений Умение связывать ML-метрики с измеримым бизнес-эффектом Будет плюсом Опыт в retail, e-commerce, pricing или demand forecasting Практический опыт с PySpark, Trino, Iceberg, S3, dbt или ClickHouse Опыт с price optimization, hierarchical forecasting или operations research Опыт построения ML-мониторинга и проведения A/B-тестов Текущий стек: Python, LightGBM, Airflow, dbt, Trino, Apache Iceberg, Parquet,S3, PostgreSQL, ClickHouse, Kubernetes и gRPC Условия Оформление в аккредитованную ИТ-компанию Конкурентоспособную заработную плату (обсуждается индивидуально) ДМС со стоматологией и льготными условиями для членов семьи Технику для работы График работы 5/2 с гибким началом Работу в максимально уютном офисе в Москве на ст. м. Савеловская, в Краснодаре или удаленно из других городов РФ, так же есть ИТ офисы в Санкт-Петербурге и Иннополисе Возможность проведения и участия в митапах, хакатонах, где есть возможность познакомиться с работой других подразделений Возможность реализовать свой опыт и потенциал в интересных и многоплановых проектах, получить новый интересный опыт в решении сложных задач Наличие корпоративных скидок и программ лояльности Наличие корпоративной библиотеки курсов Формат работы Москва и Краснодар (гибрид/офис), другие города - удаленно

Location: Ukraine; Poland Workplace: Remote About Patrianna Patrianna is a fast-scaling product development company headquartered in Gibraltar, with a dynamic, global team powering our growth. We operate at the intersection of technology and entertainment, building innovative solutions that shape the future of social gaming and deliver outstanding experiences to millions of players worldwide. We're driven by speed, ambition, and bold ideas. At our core, we're product creators and problem-solvers who thrive in a high-performance environment. We're looking for exceptional talent-smart, adaptable, and motivated individuals eager to make an impact, scale business functions at pace, and continuously improve.   AI-DRIVEN ENGINEERING CULTURE We are actively building an AI-driven engineering organization with a clear and deliberate stance: artificial intelligence is a core part of how we build and deliver software — not an experiment, not a trend, and not an optional add-on. AI is embedded into our engineering workflows, from system design and prototyping to refactoring, testing, and code review. We rely on AI to significantly influence how work is done and to accelerate delivery, while maintaining a high bar for code quality, system reliability, and architectural clarity. We expect engineers to be fully comfortable working in AI-driven environments and to treat AI as a primary productivity multiplier. Preference for AI-free workflows or resistance to AI-assisted development is NOT aligned with how we operate. Strong engineering judgment, architectural ownership, and accountability remain essential. AI amplifies our engineers — it does not replace responsibility for technical decisions.   What you will be doing • Design and deliver clean, scalable, and testable Java-based backend systems with minimal supervision • Collaborate with cross-functional teams including backend, web, mobile, QA, and product teams • Take ownership of specific services or functional areas within our large-scale architecture • Leverage AI tools and assistants as integral parts of your development workflow—from system design to code review • Contribute to maintaining high test coverage, predictable production behavior, and seamless scalability • Drive engineering excellence through modern practices and continuous improvement What we are looking for • Extensive production experience with Java and its ecosystem • Solid understanding of relational database principles (preferably PostgreSQL) and messaging concepts (preferably Kafka) • Strong system design, troubleshooting and debugging capabilities • Comfortable and proactive in using AI coding assistants (GitHub Copilot, Claude Code, etc.) as productivity multipliers • Practical experience validating, refining, and taking ownership of AI-generated output • Upper-intermediate or higher level of English   Why you will love it You'll be at the forefront of AI-driven engineering in a fast-scaling environment where your code directly impacts millions of users. Work with cutting-edge technology (latest Java, Spring Boot, GCP, Kubernetes) while enjoying full remote flexibility, generous leave, and real opportunities for growth. Join a team that treats AI as a core engineering tool—not an experiment—and where engineering excellence, speed, and meaningful impact are part of everyday work.

We are looking for an experienced Senior / Lead DevOps Engineer to own, scale, and evolve our cloud infrastructure at Qtech!

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Infrastructure organization has the mission of building and delivering the compute orchestration environment, storage and data systems, and essential platform services behind all of Reddit. The Infrastructure organization is looking to hire a backend software engineer to work collaboratively on a team dedicated to building out Reddit’s multi-cloud compute infrastructure. This is a high impact role where you will contribute to design, implementation, and operations for one of the largest sites in the world. The Infrastructure team’s mission is to provide a platform for teams to independently and effectively run their compute workloads in a performant, reliable, and secure way. The position is a mix of software engineering and devops; a lot of the time, we are writing software to improve our compute infrastructure. But there is a substantial amount of troubleshooting and analysis to understand the real problems we face as we scale, and our customer’s workloads change. What you’ll do: Work collaboratively with a team of software engineers and systems engineers to create and maintain the foundational platform for running Reddit’s infrastructure. Design, write, and deliver software to improve the availability, scalability, latency, and efficiency of Reddit’s products in Go and sometimes Python. Guide and contribute feedback to the technical and strategic direction of the compute platform Automate critical aspects of the development process such as service creation and management, as well as critical infrastructure operations. Mentor backend developers across the company. Be the go-to person for developers on complex problems Who you might be: 10+ years of experience developing internet-scale software, preferably in infrastructure roles. 8+ years experience with cloud infrastructure systems is a plus (Kubernetes, AWS / GCE ecosystems). Experience in influencing larger (500+ engineers) organizations on technical direction/best practices. Experience working with cross-functional teams such as design, product, data teams to deliver great user experiences. Strong focus on user experience, usability, scalability, and quality. You are an undying advocate for the user, and you have a deep intuition for how people think and how they interact with software at scale. Software development experience in one or more general purpose programming languages; Python, Go, Rust, Java, C++. Excellent communication skills to collaborate with a service-oriented team and company. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $286,700 — $401,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Задачи: — Администрирование Linux-систем (RHEL, CentOS, Debian, Ubuntu). — Подготовка и развитие инфраструктуры приложений, включая балансировщики, бэкенды и очереди. — Автоматизация сопровождения и развёртывания с использованием Python. — Поддержка мониторинга с использованием VictoriaMetrics, Grafana и алертинга. — Сборка и оптимизация CI/CD-конвейеров на базе GitLab с многостадийными пайплайнами. — Автоматизация инфраструктуры через Ansible. — Настройка и сопровождение балансировщиков HAProxy и Nginx. — Внедрение кластерных и отказоустойчивых решений. — Анализ производительности и устранение узких мест. — Развитие контейнерной инфраструктуры с Docker и Kubernetes. — Управление секретами и безопасностью. — Настройка резервного копирования. — Работа с сайтом на 1С-Битрикс, включая отказоустойчивую HA-схему. — Ведение технической документации. — Участие в построении DevOps-практик и SRE-подхода. Требования: — Знание архитектуры высоконагруженных, масштабируемых и отказоустойчивых систем. — Понимание принципов HA/DR и сетевого стека TCP/IP с базовыми протоколами (DNS, DHCP, SMTP, HTTP, LDAP, SSH, NTP). — Практический опыт администрирования Linux (RHEL, CentOS, Debian, Ubuntu). — Опыт проектирования и поддержки отказоустойчивых решений на базе VMware (vSphere/vCenter). — Опыт настройки сервисов Postfix/Amavisd, Apache, Nginx, PHP, MySQL, PostgreSQL, Zabbix, Prometheus, Grafana, RabbitMQ, HAProxy, ELK. — Опыт CI/CD в GitLab с многостадийными пайплайнами (матричные сборки, динамические окружения, кэширование, артефакты, триггеры). — Уверенное владение Ansible и принципами Infrastructure as Code. — Работа с Git (GitFlow/trunk-based). — Понимание балансировщиков L4/L7, методов балансировки и health-check'ов. Плюсом будет: — Опыт с Docker, Kubernetes и оркестрацией. — Знание облачных платформ и cloud-native архитектуры. — Опыт работы с микросервисами. — Уверенный Python для автоматизации и внутренних инструментов. — Опыт работы с системами управления секретами (HashiCorp Vault, Ansible Vault, GitLab Secrets). — Администрирование и оптимизация высоконагруженных сайтов на 1С-Битрикс (разделение веб-серверов и БД, memcached/redis, балансировка, CDN, веб-кластер). Условия: — Удалённая работа.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Ranking Platform team builds and runs the services that coordinate contextualized and personalized ranking on Reddit. We build infrastructure, including a scatter-gather ranking coordination service, feature indexes, and scalable data pipelines that power personalized feeds, search, and other Reddit products. We partner closely with machine learning engineers who develop and productionize models, and with ML Platform teams that build inference and training services and feature stores. Our team mantra is “Intention over Attention.” We help users fulfill their intention for visiting Reddit by connecting them with relevant content and communities. We are a team of builders who value impact, personal growth, openness, and kindness. How You’ll Have Impact As Engineering Manager for Ranking Platform, you will lead the team building a robust, scalable, reliable, and performant ranking and indexing platform. You will partner with senior engineers, backend architects, product managers, and ML leaders to translate product needs into a clear platform strategy and deliver it from ideation through production. You will be accountable for the team’s health, growth, execution, and operational excellence. Working with technical leaders, you will guide architecture and investment decisions, improve the experience of teams building on the platform, and balance new capabilities with reliability, latency, and infrastructure cost. What You’ll Do Lead: Set the team’s direction and roadmap with senior engineers and partner teams. Select, scope, and deliver high-impact initiatives that evolve the ranking coordination services, ML indexes, and data pipelines supporting Reddit’s feeds and discovery experiences. Build: Hire, onboard, and develop a high-performing engineering team. Set clear expectations, provide actionable feedback, manage performance, and create growth opportunities for engineers at different career stages. Maintain direct feedback loops with engineers using the platform, and use their feedback and adoption patterns to guide investment. Amplify: Coach engineers and technical leaders, delegate meaningful ownership, and build a culture of technical excellence, inclusion, and knowledge sharing. Protect engineers’ focus time by removing blockers, reducing unnecessary interruptions and keeping processes lightweight. Deliver: Turn multi-quarter platform investments into achievable milestones. Manage dependencies and risks, communicate tradeoffs and progress, and adapt priorities as partner and business needs evolve. Operate: Drive operational excellence through incident response, blameless postmortems, observability, safe rollouts, and proactive system hardening. Establish clear reliability and performance goals and use them to guide investment. Plan realistically for on-call work and unexpected requests, make reprioritization explicit and address unsustainable operational load. Collaborate: Build strong partnerships with Feed, Search, Ads, ML Platform, and infrastructure teams. Align roadmaps, resolve competing requirements, and make platform capabilities easier to adopt and operate. Evolve: Guide architectural improvements and engineering best practices that make ranking systems more efficient, maintainable, and scalable. Create space for experimentation and continuous learning while holding a high bar for production readiness, spotting unnecessary complexity and recognizing where simplification or consolidation would improve maintainability and help teams work more effectively. What We’re Looking For 5+ years of people management experience leading high-performing engineering teams, including hiring, coaching, career development, and performance management. 7+ years of experience building large-scale backend distributed systems, including substantial experience developing and shipping production software. Experience leading teams or major initiatives in ML infrastructure, recommendation or ranking systems, indexing, or streaming and batch data pipelines. Strong technical judgment in high-throughput platform services and APIs, with the ability to guide tradeoffs among reliability, latency, scalability, data freshness, and cost alongside senior engineers. A track record of defining technical direction and delivering platform initiatives across multiple quarters and teams, with clear prioritization and measurable outcomes. Experience improving production operations through deployment automation, monitoring, system diagnosis, incident management, and reliability engineering. High empathy, excellent organizational and communication skills, and the ability to build consensus across engineering and product teams. You can explain complex technical decisions to technical and non-technical audiences and lead effectively in a distributed environment. Experience with Go or Python; Kubernetes, Docker, AWS, or GCP; data systems such as Redis, Postgres, Memcached, Solr, or Milvus; and streaming frameworks such as Apache Beam or Flink is a plus. BS degree in Computer Science, a similar technical field, or equivalent practical experience. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: United States Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. About the product Kimchi is Cast AI’s governed AI coding platform – an autonomous coding agent, inference layer, and spend control in one. By intelligently routing tasks across more than 50 open-weight and frontier models, Kimchi helps engineering organizations scale AI-assisted development without losing control of cost, security, or data. As agentic AI coding becomes core infrastructure, token costs multiply, spend limits are merely opt-in, and source code flows to external models with little governance. Kimchi solves this with smart model orchestration, real-time cost attribution and enforced budget caps, agent guardrails, and full data sovereignty – including self-hosted deployment for the most regulated environments. About the role Every engineering org is rolling out AI coding agents, and almost none of them can see what it costs or where their code is going. The buyers are already asking the question Kimchi answers. This is a founding seat. There is no Kimchi team on the ground in AMER yet. You will be one of the first account executives in the region, opening the first enterprise logos, choosing the partners and the events that matter, and shaping the playbook the next hires run. You will not be starting cold. Kimchi sits inside Cast AI, so you inherit a well-funded company, a proven enterprise sales motion, and a large installed base of Cast AI customers who already trust us with their infrastructure. The market is moving fast. Your job is to get there first. What'll You Own? New logo acquisition across AMER enterprise accounts - the core of the role. You build and run your own outbound pipeline, every week, not as an afterthought The full enterprise sales cycle: Opportunity Assessment, Value Discovery, technical validation (POCs and benchmark-driven evaluations), executive negotiation, and close Multi-stakeholder deals with CTOs, CIOs, CISOs, CFOs, Heads of Engineering, and Platform Engineering leads, tying Kimchi to each account's AI coding cost, governance, and infrastructure challenges Upsell opportunities into Cast AI's existing customer base, working alongside the team that owns expansions Kimchi's partner ecosystem in AMER: identifying and pitching the right partners (including cloud providers like AWS and AI-native players), with the channel team supporting onboarding and joint programs Market-building activity that feeds pipeline: picking the events worth showing up at, partnering with marketing on sponsorships and co-hosted events, and working with DevRel on developer community Value Delivery after signature, working with implementation teams and measuring results against the business case What'll You Need? Proven experience running a full enterprise sales cycle as an Account Executive, from Opportunity Assessment through Value Delivery A demonstrated track record selling cloud SaaS in AI coding or developer platforms, AI/ML infrastructure, LLM cost optimization, cloud infrastructure, or FinOps, or a closely adjacent space Hands-on experience running deals with the MEDDIC methodology A history of successful negotiation and closing new-logo deals, with a genuine focus on long-term customer outcomes A strong outbound orientation: you build your own pipeline consistently rather than relying on inbound Comfort operating in a build-from-scratch environment, where you own the outcome and pull in partners, marketing, and DevRel to get there What Makes You Stand Out? You have sold complex AI, developer-platform, or cloud software to enterprise technical buyers and can independently create pipeline, run discovery, and close new logos You are comfortable selling to financial and security stakeholders (CFOs, CISOs) as well as engineers - Kimchi deals are multi-stakeholder by nature You have converted technical engagement or PLG usage into committed enterprise agreements You have built partner or ecosystem relationships (cloud marketplaces, SIs, AI-native vendors) that turned into sourced pipeline You have been an early or founding seller in a new region or product line What’s in it for you (US)? Join a fast-growing company at the forefront of cloud-native automation and Kubernetes technology. Enjoy a flexible, remote-first global environment. 401(k) retirement plan 100% company match on employee contributions up to 6% of pay (available after 3 months of employment). Access UnitedHealthcare plans including medical, dental, and vision coverage. Equity options. Learning budget for your professional and personal growth. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Hiring process Screening call with Recruiter Hiring Manager interview 1-2 additional interviews based on the role Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for an experienced Trading Systems Software Engineer to help build the applications, platforms and engineering capabilities that support QRT’s global trading environment. This is a broad software engineering role spanning application development, distributed systems, cloud technology, deployment automation and production engineering. You will design and build software used by traders, quantitative researchers, operations teams and other engineers across the firm. Your Future Role within QRT Design, develop and maintain production-grade applications, services and APIs supporting QRT’s trading platform. Build shared platforms and reusable capabilities that can be adopted across multiple trading desks and engineering teams. Develop modern web applications and operational tools that improve visibility, control and efficiency across trading workflows. Design scalable distributed and event-driven systems that integrate with trading platforms, market data services and internal infrastructure. Build deployment tooling, release automation and self-service capabilities that make software easier and safer to deploy and operate. Develop automated workflows for data processing, operational tasks and engineering processes using technologies such as Apache Airflow. Partner with traders, quantitative researchers and operations teams to understand their needs and solve practical business problems. Design software for latency-sensitive environments, balancing performance with reliability, scalability and operational simplicity. Build observable and resilient systems with appropriate monitoring, alerting, recovery and failure-handling capabilities. Work alongside infrastructure, cloud and DevOps engineers to deploy and support software across global production environments. Contribute to technical design and architectural decisions, evaluating new technologies where they can deliver meaningful value. Take ownership of software throughout its lifecycle, from initial design and implementation through to production support and continuous improvement. Your present skillset At least five years of experience developing and supporting production-grade software. Strong programming and software engineering skills in one or more languages such as Python, Java, Go, Node.js or C++. Experience designing maintainable, testable and scalable applications and services. A strong understanding of software design principles, data structures, algorithms and engineering fundamentals. Experience building RESTful APIs, distributed systems or event-driven architectures. Exposure to containerisation, orchestration and delivery technologies such as Docker, Kubernetes and CI/CD pipelines. Experience with public cloud technologies, preferably AWS. An understanding of messaging technologies such as Kafka or RabbitMQ. Experience considering reliability, observability, performance and failure recovery when designing production systems. Strong analytical and problem-solving skills, with the ability to make sound engineering decisions and explain the associated trade-offs. The ability to work effectively with both technical and non-technical stakeholders. Base salary range for this position is $180,000 to $300,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

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Для предполагаемого расширения технического направления ищем DevOps-инженера, который займётся облачной инфраструктурой клиентских проектов, автоматизацией развёртывания и обеспечением стабильной работы веб-сервисов. • Проектирование и поддержка инфраструктуры в AWS.