Location: United states
Role: Principal Architect
Reports to:
Global Head of Technology (SVP Engineering)
Function:
Platform & Product Architecture (Cloud-Native Data/SaaS)
About Reltio
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job overview
Reltio is scaling a cloud-native, multi-tenant data platform used by global enterprises. We need a Principal Architect to set the end-to-end architecture vision, de-risk the roadmap, and turn strategy into secure, reliable, cost-efficient systems—while upleveling the engineering organization.
Enterprise & Product Architecture:
Define the north-star architecture for a multi-tenant SaaS data platform (ingest → processing → storage → query → API/SDK/UX). Establish reference architectures, decision records, and standards.
Cloud-Native Platform:
Drive container orchestration, service mesh, control planes, observability, and resilience across AWS/Azure/GCP.
Data & Streaming:
Lead designs for high-volume streaming, low-latency query, and analytical/ML use cases (batch + real-time).
AI/ML & Agentic AI:
Partner with product and security to embed responsible LLM/agentic patterns (guardrails, retrieval, evals) into customer-facing and internal developer workflows.
Reliability, Security & Compliance:
Champion SRE/SOC2/ISO/GDPR-by-design, error budgets, threat modeling, and secure SDLC.
Developer Experience:
Improve CI/CD, test strategy, paved roads, and golden paths; reduce cognitive load and toil across teams.
Executive & Customer Influence:
Translate architecture trade-offs for executives and key customers; guide buy-build-integrate decisions.
Key Responsibilities
Set the vision: Author and socialize the product/platform architecture strategy; maintain ADRs and tech radars.
Design at scale:
Lead designs for multi-tenant isolation, data models, schemas, indexing/OLAP, and event-driven systems.
Evolve the platform:
Standardize service meshes, API gateways, policy-as-code, and multi-cloud deployment patterns.
Operational excellence:
Embed SRE practices (SLOs, error budgets, incident learning), capacity planning, and chaos testing.
Security & privacy:
Lead threat models, data classification, encryption, secrets, key management, and SBOM/SLSA controls.
AI architecture:
Define patterns for RAG/agents, prompt & model governance, telemetry, evaluations, and fallbacks.
Mentor & scale:
Coach Staff/Principal engineers and architects; chair architecture reviews; build a healthy review culture.
Executive partnering:
Communicate options/trade-offs to C-suite; align decisions with business value and customer impact.
Customer evangelism:
Join key enterprise conversations; convert requirements into pragmatic designs and phased delivery.
Qualifications
20+ years in product/platform architecture
for large-scale, cloud-native SaaS; recent
Principal/Distinguished Architect
scope leading end-to-end product decisions and migrations across multi-cloud.
Cloud & Kubernetes depth:
EKS/AKS/GKE; service mesh (Istio/Linkerd), observability (Prometheus/Grafana), platform control planes, operators/CRDs. Able to define golden paths/paved roads for teams.
Data platform & streaming expertise:
Kafka/Flink/Spark; columnar/OLAP (Druid, ClickHouse), NoSQL (Cassandra), search (Elasticsearch/Opensearch); real-time + batch patterns.
Microservices & integration at enterprise scale:
API gateways, event-driven design, SOA/EAI (Apache Camel/Mule/WSO2/JBoss Fuse).
AI/ML & Agentic AI in production:
ML pipelines (MLflow/Kubeflow/Airflow) and LLM/agent frameworks (OpenAI APIs, LLaMA, LangChain/LangGraph; tool-use, memory, evals).
Security, privacy, and compliance by design:
threat modeling, data classification, encryption/keys, and
EU GDPR
awareness through real product work.
Executive communication & customer leadership:
converts complex trade-offs into simple choices; partners with CXO/stakeholders globally; architecture evangelism with customers.
C-suite influence & decision facilitation:
runs architecture reviews/SteerCos with crisp options, risk/ROI framing, and written decision records; pre-wires global stakeholders to land decisions quickly.
Customer-back product thinking:
meets enterprises regularly, translates requirements into phased designs (MVP → scale), and defends non-negotiables (SLOs, security, privacy).
Cross-geo orchestration:
proven delivery across US/EU/India time zones; builds async rituals, documentation standards, and handoff mechanisms that raise velocity and quality.
Culture carrier & coaching:
uplevels Staff/Principal engineers, codifies paved roads (CI/CD, testing, observability), and scales architectural patterns via ADRs/radars.
Preferred Qualifications
Multi-cloud platform stewardship:
proven ownership of cross-cloud platforms (e.g., control planes, observability, incident management) and data lake stacks, shipped to enterprise customers.
Cost/performance engineering:
track record reducing infra cost per tenant and improving p95/p99 latency/MTTR via capacity planning, workload placement, and autoscaling patterns.
Programming fluency:
Java/Scala/Python/Go/Rust for credible code-review and reference implementations.
OSS & ecosystem contribution:
prior contributions to relevant frameworks (e.g., Hadoop tuning, NoSQL ORM, Camel/Keycloak) a plus.
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
United states; proven delivery across US/EU/India time zones; builds async rituals, documentation standards, and handoff mechanisms that raise velocity and quality
Location: United states
Role: Principal Architect
Reports to:
Global Head of Technology (SVP Engineering)
Function:
Platform & Product Architecture (Cloud-Native Data/SaaS)
About Reltio
At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk.
At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence.
Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk!
Job overview
Reltio is scaling a cloud-native, multi-tenant data platform used by global enterprises. We need a Principal Architect to set the end-to-end architecture vision, de-risk the roadmap, and turn strategy into secure, reliable, cost-efficient systems—while upleveling the engineering organization.
Enterprise & Product Architecture:
Define the north-star architecture for a multi-tenant SaaS data platform (ingest → processing → storage → query → API/SDK/UX). Establish reference architectures, decision records, and standards.
Cloud-Native Platform:
Drive container orchestration, service mesh, control planes, observability, and resilience across AWS/Azure/GCP.
Data & Streaming:
Lead designs for high-volume streaming, low-latency query, and analytical/ML use cases (batch + real-time).
AI/ML & Agentic AI:
Partner with product and security to embed responsible LLM/agentic patterns (guardrails, retrieval, evals) into customer-facing and internal developer workflows.
Reliability, Security & Compliance:
Champion SRE/SOC2/ISO/GDPR-by-design, error budgets, threat modeling, and secure SDLC.
Developer Experience:
Improve CI/CD, test strategy, paved roads, and golden paths; reduce cognitive load and toil across teams.
Executive & Customer Influence:
Translate architecture trade-offs for executives and key customers; guide buy-build-integrate decisions.
Key Responsibilities
Set the vision: Author and socialize the product/platform architecture strategy; maintain ADRs and tech radars.
Design at scale:
Lead designs for multi-tenant isolation, data models, schemas, indexing/OLAP, and event-driven systems.
Evolve the platform:
Standardize service meshes, API gateways, policy-as-code, and multi-cloud deployment patterns.
Operational excellence:
Embed SRE practices (SLOs, error budgets, incident learning), capacity planning, and chaos testing.
Security & privacy:
Lead threat models, data classification, encryption, secrets, key management, and SBOM/SLSA controls.
AI architecture:
Define patterns for RAG/agents, prompt & model governance, telemetry, evaluations, and fallbacks.
Mentor & scale:
Coach Staff/Principal engineers and architects; chair architecture reviews; build a healthy review culture.
Executive partnering:
Communicate options/trade-offs to C-suite; align decisions with business value and customer impact.
Customer evangelism:
Join key enterprise conversations; convert requirements into pragmatic designs and phased delivery.
Qualifications
20+ years in product/platform architecture
for large-scale, cloud-native SaaS; recent
Principal/Distinguished Architect
scope leading end-to-end product decisions and migrations across multi-cloud.
Cloud & Kubernetes depth:
EKS/AKS/GKE; service mesh (Istio/Linkerd), observability (Prometheus/Grafana), platform control planes, operators/CRDs. Able to define golden paths/paved roads for teams.
Data platform & streaming expertise:
Kafka/Flink/Spark; columnar/OLAP (Druid, ClickHouse), NoSQL (Cassandra), search (Elasticsearch/Opensearch); real-time + batch patterns.
Microservices & integration at enterprise scale:
API gateways, event-driven design, SOA/EAI (Apache Camel/Mule/WSO2/JBoss Fuse).
AI/ML & Agentic AI in production:
ML pipelines (MLflow/Kubeflow/Airflow) and LLM/agent frameworks (OpenAI APIs, LLaMA, LangChain/LangGraph; tool-use, memory, evals).
Security, privacy, and compliance by design:
threat modeling, data classification, encryption/keys, and
EU GDPR
awareness through real product work.
Executive communication & customer leadership:
converts complex trade-offs into simple choices; partners with CXO/stakeholders globally; architecture evangelism with customers.
C-suite influence & decision facilitation:
runs architecture reviews/SteerCos with crisp options, risk/ROI framing, and written decision records; pre-wires global stakeholders to land decisions quickly.
Customer-back product thinking:
meets enterprises regularly, translates requirements into phased designs (MVP → scale), and defends non-negotiables (SLOs, security, privacy).
Cross-geo orchestration:
proven delivery across US/EU/India time zones; builds async rituals, documentation standards, and handoff mechanisms that raise velocity and quality.
Culture carrier & coaching:
uplevels Staff/Principal engineers, codifies paved roads (CI/CD, testing, observability), and scales architectural patterns via ADRs/radars.
Preferred Qualifications
Multi-cloud platform stewardship:
proven ownership of cross-cloud platforms (e.g., control planes, observability, incident management) and data lake stacks, shipped to enterprise customers.
Cost/performance engineering:
track record reducing infra cost per tenant and improving p95/p99 latency/MTTR via capacity planning, workload placement, and autoscaling patterns.
Programming fluency:
Java/Scala/Python/Go/Rust for credible code-review and reference implementations.
OSS & ecosystem contribution:
prior contributions to relevant frameworks (e.g., Hadoop tuning, NoSQL ORM, Camel/Keycloak) a plus.
Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Задачи:
— Писать кастомные парсеры под соц сети, медиахостинги и маркетплейсы
— Реализовывать сервисы на Python
— Разрабатывать и поддерживать сервисы для сбора данных
Требования:
— Опыт разработки и поддержки высоконагруженных парсеров/scrapers от 3х лет
— Python от 3х лет
— Понимание типов различных прокси-серверов (ротация прокси, мониторинг качества), принципов работы CAPTCHA
— Работа с rate limiting
— Playwright
— AsyncIO, aiohttp/httpx
— Опыт reverse engineering внутренних API веб- и мобильных приложений
— Опыт работы с базами данных (PostgreSQL / ClickHouse / Redis)
— Отличное понимание HTTP/TCP, работы CDN, REST API, GraphQL, антибот-систем и методов их обхода
Будет плюсом:
— Опыт разработки парсеров для площадок: Instagram, YouTube, Tik Tok, Trip Advisor, Spotify, X, Flickr, LinkedIn, Reddit и аналогичные
— Опыт работы с Grafana/Prometheus
— Kubernetes
— Kafka/RabbitMQ
Условия:
— Проектная занятость с гибким форматом работы
— Прямая коммуникация с техническим руководством без бюрократии
— Возможность вырасти в полноценную техническую роль внутри компании
УдалённоГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Задачи:
— Сбор и анализ данных, проведение feature engineering.
— Обучение ML-моделей на табличных данных и их вывод в продакшн.
— Автоматизация пайплайнов сбора данных и моделирования.
— Улучшение ценообразования в ЖД-направлении, автобусах, электричках и аренде авто с помощью ML.
— Подготовка отчетности и презентация итогов работы бизнес-заказчикам.
Требования:
— Опыт работы в Data Science не менее 3 лет.
— Опыт решения задач в ценообразовании, предиктивной аналитике, uplift-моделировании или ранжировании.
— Владение стеком: Python, SQL, ClickHouse, S3, FastAPI.
— Опыт работы с Feature Store / Feast.
Условия:
— Гибкий выбор формата работы: офис, гибрид или full remote.
— Работа в структурированной команде (DS, MLOps, Lead) с использованием OKR для синхронизации целей.
— Регулярные планирования и синки для прозрачности процессов.
— Ценности команды: вовлечённость, инициативность и ответственность.
Задачи:
— Разрабатывать и дорабатывать исходный код форков Greenplum и Clickhouse, включая бэкпортирование функций из новых версий.
— Оптимизировать работу Greenplum в составе аналитических систем.
— Исправлять ошибки и адаптировать новые функции из opensource-проекта.
— Помогать клиентам в разборе инцидентов (дебаггинг).
— Делится best practices по работе с Greenplum и Clickhouse с коллегами и клиентами.
— Помогать развивать продукт на крупнейшей в Европе инсталляции Greenplum.
— Работа с безопасностью, исправление уязвимостей.
Требования:
— Опыт написания системных приложений под Linux на C/C++ и их оптимизации под конкретную ОС.
— Понимание внутреннего устройства PostgreSQL/Greenplum.
— Понимание процесса сборки и дистрибуции проектов.
— Навык общения на английском языке в письменном формате.
Условия:
— Удалённый формат работы с графиком 5/2.
— Полная занятость в стабильной и развивающейся компании.
— Возможности для профессионального роста и развития.
— Работа в команде профессионалов и доступ к передовым технологиям.
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
.
This role is fully remote. Reddit has a flexible first workforce.
The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient.
We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences.
This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can lead cross-functional projects to deliver concrete business results across the organization.
What you’ll do:
Lead Reliability Engineering
Drive complex, cross-organizational programs to advance reliability, scalability, and performance for user-facing systems. Own execution from design through launch across API, content delivery, feed generation, search, and real-time experiences.
Shape the Future of Reliability
Define and drive long-term roadmaps for a domain of ownership within the team, turning ambitious reliability goals into strategic investments that build resilience, unlock scale, and enable product innovation.
Build Strategic Partnerships
Own and grow cross-functional partnerships across product and infrastructure engineering, aligning teams on shared reliability priorities and shaping the investments that keep Reddit resilient as it scales.
Eliminate Systemic Risks
Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Drive structural improvements that address root causes, eliminate recurring failures, and prevent entire classes of incidents.
Shape Automation Strategy
Define the team’s approach to automation, identifying new opportunities and reusable patterns that make it easier to automate deployment safety, incident response, remediation workflows, and reliability guardrails
Influence Engineering Standards
Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company.
Elevate the Team
Develop engineers at every level through technical leadership, mentorship, and shared learning. Strengthen the team’s engineering judgment, reliability expertise, and ability to deliver with confidence.
What We’re Looking For
8+
years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating best-in-class large scale distributed systems.
Expertise leading complex, cross-organizational engineering programs from design through launch.
Experience defining technical roadmaps to prioritize broad strategic reliability investment.
Proven ability building cross-functional partnerships to align business priorities and facilitate effective technical collaboration.
Expertise using and improving observability systems to expose failure modes, accelerate diagnosis, and answer complex questions about system behavior.
Expertise troubleshooting complex issues across system, infrastructure, and networking.
Strong software engineering fundamentals, sound operational judgment, and effective collaboration practices across teams.
Nice to Have
Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms.
Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies.
Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure.
Contributions to open source software or participation in technical communities.
Experience leading large scale incident response and operational transformation initiatives.
Benefits:
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
Group Personal Pension Scheme with Employer match
Private Medical and Dental Scheme
Income Replacement Programs
Bike to Work scheme
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:
$217,000
—
$303,900 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:
— Автоматизировать тестирование бэкенда на Python;
— Писать API-тесты, контрактные тесты;
— Проверять консистентность данных при загрузке;
— Тестировать A/B эксперименты;
— Работать с большими объёмами данных в ClickHouse, PostgreSQL, Kafka;
— Тестировать ML-составляющую продукта в общем флоу;
— Проверять бизнес-логику на уровне юнит-экономики.
Требования:
— Коммерческий опыт автоматизации на Python от 3 лет;
— Тестирование чистого бэкенда от 80% задач на последнем месте;
— Уверенная работа с PostgreSQL, ClickHouse, MongoDB;
— Опыт с Kafka;
— Понимание CI/CD, опыт с GitLab;
— Базовые знания Kubernetes;
— Опыт с Grafana, Kibana или аналогами;
— Самостоятельность в принятии решений при неполной информации;
— Готовность работать в условиях высокой ответственности.
Задачи:
— Писать код на Python (FastAPI / Django) для бэкенда.
— Закрывать фронтенд-задачи на React / Vue / Next.js (админки, простые интерфейсы, интеграция с Telegram Mini Apps).
— Проектировать архитектуру микросервисов под высокие нагрузки (десятки тысяч пользователей).
— Работать с PostgreSQL, Redis, ClickHouse (оптимизация запросов, кэширование, аналитика).
— Интегрировать AI-сервисы (OpenAI, ComfyUI, генерация видео, RAG, fine-tuning LoRA).
— Руководить 2–4 разработчиками (full-stack, AI-промтологи, бэкенд).
— Проводить код-ревью, менторить, помогать расти.
— Участвовать в найме и онбординге новых разработчиков.
— Отвечать за соблюдение дедлайнов и качества кода.
— Настраивать и поддерживать пайплайны в GitHub Actions.
— Управлять деплоем на сервера (Docker, Docker Swarm / K8s, Nginx / Traefik).
— Обеспечивать uptime 99.9% и быстрое восстановление после инцидентов.
Требования:
— Python (FastAPI / Django) — уверенно, 4+ лет.
— React или Vue / Next.js — базовый уровень (чтобы закрыть админку или поправить интерфейс).
— PostgreSQL (оптимизация, индексы, репликация).
— Redis (кэширование, сессии, очереди).
— Docker, CI/CD (GitHub Actions).
— Опыт с AI (OpenAI API, LangChain, RAG, работа с нейросетями).
— Опыт разработки от 5 лет, из них минимум 1 год — Team Lead / Tech Lead.
— Умеете и сами писать код, и управлять командой.
— Понимаете, как строить масштабируемую архитектуру под highload.
— Знаете, как оптимизировать БД и кэшировать данные (чтобы не ложилось при 10k RPS).
— Работали с AI / LLM (не просто вызывали API, а встраивали в продукт).
Будет плюсом:
— ComfyUI, LoRA, ControlNet, генерация видео.
— ClickHouse (аналитика, большие данные).
— Kubernetes / Docker Swarm.
— Опыт с Telegram Mini Apps.
— Go (высоконагруженные микросервисы).
Личные качества:
— Скорость и прагматизм — не «идеальный код на месяц», а «работающее решение на сегодня».
— Ответственность — за дедлайны, за стабильность, за команду.
— Коммуникабельность — умеете объяснить разработчикам задачу, а заказчику — сроки.
— Стартап-менталитет — готовность делать руками то, что нужно здесь и сейчас.
Условия:
— от 5000$ (фикс + бонусы за KPI).
— Удалённо, полная занятость.
— Возможность влиять на архитектуру и продукт с первых дней.
— Минимум бюрократии, максимум скорости.
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Engineering Manager
Location: Remote US
Compensation:
$215,000 to $240,000 base plus bonus and equity
What You’ll Do:
The Huntress team is looking for an innovative, highly motivated, and self-driven Principal Software Engineer to join our Huntress SIEM team. As a Principal Software Engineer at Huntress, you will be responsible for leading a feature delivery team in the design, development, and high-quality release of software features for the Huntress SIEM Platform that provides for automated detection and human-powered threat hunting. You will focus on creating the technical vision for new and exciting features from the product roadmap. You’ll be working with a smart and diverse team of problem solvers who exhibit high energy, deep technical skills, and a drive to get things done.
As a Principal Software Engineer, you will work closely with the platform and architecture teams to design and build the type of solutions Huntress has become known for, which are solutions that not only solve problems but drastically improve industry standards, workflows, and user experiences.
Responsibilities:
Own delivery, product quality, and up-time of complex mission-critical features/systems
Impact objectives and initiatives that span across departments
Lead technical decisions with company-wide impact
Evolve our collective understanding of our technical domain
Define long-term strategic technical goals and initiatives
Effectively communicate strategic technical vision and set an example for the organization
Work with the team engineering manager to make sure the team is meeting technical expectations and upholding strategy
Communicate critical trade-offs on technical approaches across the platform
Collaborate closely with the team engineering manager, product manager, security research, platform, and architect on strategic initiatives and technical designs
Develop and enforce best practices for the team and department
Design and optimize workflows that bridge the gap between traditional development practices and AI-assisted engineering.
Build and evolve AI tooling and usage in daily development workflows
Experience using AI coding agents to accelerate development
Engage with customers as necessary
Contribute to and improve the organization's test frameworks and approaches
Develop a deep cross-product understanding of features and architecture
Own and drive the performance impact of team/department solutions and the overall platform suite
Lead and develop high-quality, scalable software, software designs, and architecture, and set standards for team excellence
Own improving visibility into software systems at scale, including monitoring and alerting
Focus on the entire life cycle of the system, including evolution, configuration, and risk management
Ensure code quality and test code coverage through code reviews, test plan reviews, and security reviews
Lead the team in providing accurate estimates and taking ownership of the timely completion of work
Mentor and coach junior engineers, fostering an environment that values professional development and promotes collaboration and engagement
Actively engage with the team and lead by being a positive role model
What You Bring To The Team:
15+ years of experience developing complex software products
8+ years of programming in Ruby on Rails
8+ years of large scale database experience
A BS in Computer Science or Engineering or equivalent experience gained through work
Experience with modern data storage and query systems for high-volume analytics workloads
Experience in Agile or Scrum environment
Experience with JavaScript and CSS
Experience reviewing code, problem-solving, and technical troubleshooting
A deep understanding of ActiveRecord (Rails)
Excellent technical, diagnostic, and troubleshooting skills
Ability to grasp new tools and technologies quickly
Effective communication and interpersonal skills
Ability to prioritize and execute multiple tasks at a time in a fast-paced environment, often operating independently
Ability to distill complex technical topics so that they can be shared and understood by a non-technical audience meaningfully
Ability to work cross-functionally between multiple teams
Passion for technology, strong motivation, and responsibility for high-quality software features
Ability to build strong interpersonal relationships with product, development teams, leadership, senior management, and internal and external stakeholders
Helpful experience, but not required
Experience working with SIEM platforms or security log/event data
Experience with AWS, Azure, and/or GCP cloud environments
Experience with
Stimulus
,
Turbo
, and/or
Hotwire
(or similar frameworks)
Experience working in a Ruby on Rails monolith
A passion for building platform capabilities
Eagerness to work with
Tailwind CSS
,
Tailwind UI
and
Flowbite
Experience with data-led product design
Experience with Clickhouse
Experience with Vector
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Engineering Manager
Location: Remote US
Compensation Range: $200,000 to $220,000 base plus bonus and equity
What You’ll Do:
The Huntress team is looking for an innovative and highly motivated Staff Software Engineer with excellent problem-solving and communication skills to join our Identity Security Posture Management (ISPM) team. This is a new product which is generally available on July 1st and already has very strong engagement within our customer base. You will be instrumental in building and growing this product from its roots. You will be part of a growing product team that is strategically key to protecting the 99% from cyber attacks.
In this role, you will focus on creating the technical vision and implementing new and exciting features from the product roadmap. You will work closely with a product manager, senior engineers, security researchers, designers, and market experts to develop market-defining solutions for the identity protection space. At Huntress, Staff Engineers are expected to be technical leaders, driving new ideas, building great software and mentoring more junior engineers. We make full use of AI coding tools to enable you to accelerate your development. We do not cap token usage, however we expect our engineers to use AI, and all tools responsibly.
ISPM is a new frontier of security, with the vast majority of breaches in 2026 beginning with identity compromise. ISPM moves compromise prevention “further left”, ideally preventing more identities from being breached by encouraging better hygiene in everyday actions. In this role, you will build scalable solutions to emerging threats in a rapidly evolving landscape. In many cases, you will work on problems nobody has solved before, with no existing template, so the ability to learn quickly and think outside the box is critical. You will work across the stack, building new UI one day, scalable data models and event ingestions the next, then wrapping up the week with automated detectors to alert customers and our Security Operations Center to suspicious activity.
Responsibilities
:
Design, develop, and maintain end-to-end solutions using primarily Ruby on Rails.
Implement efficient data pipelines to extract relevant information from massive amounts of noise
Collaborate with security researchers to understand hacking strategies and methods to combat them
Be a technical thought leader for your team, providing architectural and design direction
Continuously improve solution quality through code reviews, manual and automated testing
Set standards for excellence and develop processes that make the team continuously more efficient
Lead more junior engineers to deliver larger projects, including breaking down ambiguous problems into well-defined tasks, validating designs, and serving as POC for stakeholders
Design the systems and architecture to support processing petabytes of data efficiently
What You Bring To The Team:
10+ years of experience developing complex software products
5+ years of programming in Ruby on Rails
Experience with AI coding tools, such as Claude Code
Experience with relational databases, such as Postgres
Preferred Qualifications:
Experience working in the CyberSecurity industry
Experience working with external APIs (particularly REST, OData, authZ and authN flows)
Familiarity with identity and resource security providers like m365, Okta, Google Workspaces, or similar
Experience with other data storage technologies (Clickhouse, Redis, ElasticSearch, Mongo, etc.)
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Мы развиваем ИТ-продукт, который включает в себя масштабную WEB-платформу и интерактивного Telegram-бота / Mini App. Наш стек: Python, Airflow 2+, dbt Core, ClickHouse, PostgreSQL, Docker, GitLab. Продукт быстро растет, и сейчас мы ищем Data Engineer, который поможет нам масштабировать аналитическую инфраструктуру и сделать работу с данными быстрой и надежной.
Задачи:
— Разрабатывать и поддерживать ETL/ELT-процессы на базе Airflow и dbt Core
— Интегрировать новые источники данных: PostgreSQL, внешние API и сервисы
— Развивать существующее хранилище данных на ClickHouse и поддерживать аналитические витрины
— Оптимизировать SQL-запросы и производительность пайплайнов
— Поддерживать и развивать инфраструктуру аналитической платформы (Docker, Airflow, dbt)
— Взаимодействовать с аналитиками для реализации новых витрин, метрик и источников данных
— Участвовать в расследовании инцидентов, связанных с качеством данных и работой пайплайнов
— Поддерживать техническую документацию и участвовать в передаче знаний внутри команды
Требования:
— Опыт на позиции инженера данных от трёх лет
— Уверенное знание SQL и опыт работы с аналитическими СУБД
— Практический опыт работы с ClickHouse: проектирование таблиц, выбор движков, партиционирование, оптимизация запросов
— Опыт разработки и поддержки ETL/ELT-процессов: способность самостоятельно выбирать способ интеграции источника данных, проектировать структуру загрузки, хранение и обновление данных с учетом требований бизнеса и технических ограничений
— Опыт работы с Apache Airflow 2+: разработка, поддержка и отладка DAG'ов, понимание механизмов планирования, зависимостей и мониторинга пайплайнов
— Опыт работы с dbt Core
— Хорошее знание Python: умение разбираться в существующем коде, дорабатывать и разрабатывать новые компоненты интеграций и пайплайнов
— Опыт работы с PostgreSQL и понимание особенностей инкрементальных выгрузок данных
— Опыт интеграции внешних REST API
— Понимание принципов контейнеризации и опыт работы с Docker / Docker Compose
— Умение самостоятельно декомпозировать задачи и доводить их до результата
Будет плюсом:
— Опыт работы с Airflow 3+
— Опыт работы с BigQuery
— Опыт работы с Google Analytics / GA4
— Опыт работы с облачными платформами (GCP, Yandex Cloud, AWS)
— Понимание базовых принципов работы блокчейн-сетей и транзакционных данных
— Опыт использования AI-инструментов для разработки и сопровождения кода
Формат работы: удаленно
Часовой пояс: MSK
УдалённоЧем предстоит заниматься: - Разрабатывать и поддерживать ETL/ELT-процессы на базе Airflow и dbt Core - Интегрировать новые источники данных: PostgreSQL, внешние API и сервисы - Развивать существующее хранилище данных на ClickHouse и поддерживать аналитические витрины - Оптимизировать SQL-запросы и производительность пайплайнов - Поддерживать и развивать инфраструктуру аналитической платформы (Docker, Airflow, dbt) - Взаимодействовать с аналитиками для реализации новых витрин, метрик и источников данных - Участвовать в расследовании инцидентов, связанных с качеством данных и работой пайплайнов - Поддерживать техническую документацию и участвовать в передаче знаний внутри команды Наши требования: - Опыт на позиции инженера данных от трёх лет - Уверенное знание SQL и опыт работы с аналитическими СУБД - Практический опыт работы с ClickHouse: проектирование таблиц, выбор движков, партиционирование, оптимизация запросов - Опыт разработки и поддержки ETL/ELT-процессов: способность самостоятельно выбирать способ интеграции источника данных, проектировать структуру загрузки, хранение и обновление данных с учетом требований бизнеса и технических ограничений - Опыт работы с Apache Airflow 2+: разработка, поддержка и отладка DAG'ов, понимание механизмов планирования, зависимостей и мониторинга пайплайнов - Опыт работы с dbt Core - Хорошее знание Python: умение разбираться в существующем коде, дорабатывать и разрабатывать новые компоненты интеграций и пайплайнов - Опыт работы с PostgreSQL и понимание особенностей инкрементальных выгрузок данных - Опыт интеграции внешних REST API - Понимание принципов контейнеризации и опыт работы с Docker / Docker Compose - Умение самостоятельно декомпозировать задачи и доводить их до результата Будет плюсом: - Опыт работы с Airflow 3+ - Опыт работы с BigQuery - Опыт работы с Google Analytics / GA4 - Опыт работы с облачными платформами (GCP, Yandex Cloud, AWS) - Понимание базовых принципов работы блокчейн-сетей и транзакционных данных - Опыт использования AI-инструментов для разработки и сопровождения кода Формат работы: удаленно Часовой пояс: MSK Присылайте резюме https://t.me/katyacheresh
Задачи:
- Разрабатывать и внедрять передовые решения в сфере Digital Risk Protection (DRP), создавая и совершенствуя комплексные системы защиты от цифровых угроз
- Работать с интеграциями и обработкой данных от различных API-источников, оптимизируя извлечение и обработку информации
- Создавать высокопроизводительные парсеры данных для обработки больших объемов данных из различных источников
- Автоматизировать процессы обнаружения и реагирования на цифровые угрозы, создавая автоматизированные системы для своевременного обнаружения и нейтрализации угроз
- Разрабатывать инструменты для мониторинга контента в мессенджерах и на веб-платформах по ключевым словам, ссылкам, медиафайлам с последующим анализом и реагированием
Требования:
- Уверенное владение Python, опыт разработки сложных, масштабируемых и высокопроизводительных приложений, знание Django, FastAPI
- Знание сетевых основ и клиент-серверного взаимодействия
- Опыт работы с API (REST, GraphQL), включая обработку JSON и XML, оптимизация запросов и обработки больших объемов данных
- Опыт асинхронного программирования (asyncio, aiohttp), понимание конкурентности и параллелизма (asyncio, threads, multiprocessing)
- Глубокое понимание веб-скрапинга и парсинга данных, опыт работы с библиотеками для парсинга (Beautiful Soup, Selenium или аналогичные)
- Опыт работы с базами данных, уверенное владение SQL и одной реляционной базой данных (PostgreSQL, ClickHouse), опыт с ORM (Django ORM, SQLAlchemy) и созданием миграций
- Опыт создания веб-интерфейсов на основе макетов
- Опыт работы с Docker
- Опыт работы с системами контроля версий Git
Задачи:
— Поддерживать, развивать и мониторить существующие Kubernetes-кластера;
— Поддерживать, мониторить, выявлять узкие места СУБД/Key-value хранилищ (PostgreSQL, Redis, Clickhouse);
— Поддерживать бесперебойную работу систем очередей на базе (Kafka, RabbitMQ);
— Поддерживать и развивать систему мониторинга/алертинга на базе Prometheus, Thanos, Alertmanager, Grafana;
— Внедрять AI в системы мониторинга;
— Участвовать в устранении и расследовании инцидентов инфраструктуры;
— Улучшать и развивать существующий CI/CD процесс на базе GitOps (ArgoCD, Gitlab, Jira);
— Автоматизировать развертывание приложений (используется Helm + ArgoCD);
— Самостоятельно искать новые возможности для улучшения инфраструктуры и внедрения новых DevOps практик;
— Консультировать и поддерживать команды разработки и тестирования.
Требования:
— Понимание целей внедрения DevOps;
— Понимание особенностей эксплуатации Python приложений;
— Опыт разработки CI/CD пайплайнов с использованием GitLab;
— Опыт работы с Docker/Kubernetes и понимание устройства Kubernetes;
— Понимание основ сетевых технологий (семейство TCP/IP);
— Опыт администрирования linux-инфраструктуры;
— Умение работать самостоятельно, брать на себя ответственность, инициативность.
Будет плюсом:
— Опыт работы с методологией GitOps;
— Знание английского языка;
— Большой плюс — знание языков программирования Python, Golang.
Условия:
— Обязательная релокация в Куала-Лумпур (Малайзия) после успешного прохождения испытательного срока (3 месяца).
Location: Amsterdam, Netherlands
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are looking for a Senior Backend Software Engineer to join our Observability Platform team in Amsterdam or remotely. Building a reliable and profitable cloud platform is impossible without world-class observability. It spans every layer of the stack — from developer tooling and CI/CD pipelines to Kubernetes, managed services, databases, networking, and customer workloads. Our mission is to provide a unified ecosystem for logs, metrics, traces, alerting, and troubleshooting that enables engineers to understand and operate systems at scale. You will build and scale the core services behind this platform, working on high-volume telemetry ingestion, distributed storage, query engines, alerting pipelines, and new ways to help engineers make sense of operational data, including AI-assisted troubleshooting.
We expect you to have:
5+ years of professional software engineering experience
Strong knowledge of Golang or willingness to quickly switch to it
Experience building distributed backend systems
Solid understanding of software reliability, scalability, and performance
Ability to troubleshoot complex production issues
Teamwork-oriented approach and strong communication skills
It would be an added bonus if you had:
Experience building or contributing to observability platforms, telemetry systems, or related open-source projects such as Prometheus, Grafana, Loki, Jaeger, OpenTelemetry, VictoriaMetrics, Mimir, Tempo, or similar technologies
Experience using ClickHouse in production
#LI-ET3
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Liquidity Platform
The Liquidity Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues — across both CeFi and DeFi — strategy services for automated pricing and trading bots, high-frequency data capture and analysis, and state-of-the-art micro frontends for trading management. On top of this infrastructure, we build highly customized strategies to facilitate crypto liquidity.
Our engineering teams own the full trading lifecycle, from venue connectivity and execution to strategy, data, risk, and analytics. Our risk solutions are independent of trading logic, decoupled by design, and connected to 20+ trading venues across spot, derivatives, and event-contract markets. If you are a strong technologist excited about the potential of crypto trading and fully-automated systematic trading, we should talk.
About the Role
We are hiring software engineers across the Liquidity Platform’s engineering teams. You will design, build, and operate the systems that price, execute, monitor, and safeguard our liquidity-providing business 24/7. You will work closely with liquidity managers, product managers, and desk developers — developing strategies, services, and infrastructure using in-house toolkits — while growing capabilities in inventory and risk management, strategic problem solving, cross-functional collaboration, and effective communication.
These roles are open to Senior and Staff-level candidates; scope and title are calibrated based on experience and impact. Specializations span Delta One Systematic Trading, Cash OTC, Option Market Making, Trading Infra Service, Data Engineering and Risk & Analytics.
What You’ll Be Doing
Design, build, and operate scalable, fault-tolerant, low-latency trading infrastructure and microservices that handle 24/7 crypto market operations.
Build and maintain connectivity to centralized exchanges, DeFi venues, and counterparties using FIX 5.0+, WebSocket, HTTP/2, and REST — handling the real-world complexities of external integrations and on-chain data.
Develop and maintain core services across the trading lifecycle: strategy and execution engines, automated pricing and trading bots, order execution and position tracking, trade & position data platforms, and risk & analytics systems.
Architect and optimize high-throughput order execution with sub-millisecond latency targets, and build real-time market-data pipelines aggregating order books and price feeds across multiple venues.
Implement pre-trade risk controls, circuit breakers, rate limiters, position/PnL and risk calculations, automated alerting, and high-availability architecture.
Implement robust monitoring, alerting, and auto-recovery so strategies remain stable, scalable, and self-healing in a 24x7 trading environment.
Build trusted data models, reconciliation workflows, and data-quality controls with clear lineage, reproducibility, and documentation — delivering outputs for the trading desk, Finance, and Operations.
Profile and eliminate latency hotspots using garbage-free coding and lock-free concurrency; continuously improve system performance and user experience.
Collaborate with liquidity managers, product managers, desk developers, risk, finance, and operations to design, implement, and roll solutions into production.
Conduct code reviews, mentor junior engineers, and uphold scalability, resiliency, maintainability, and security best practices across all development activities.
What We Look For In You
STEM foundation:
Bachelor’s degree or above in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline; a combined finance background is advantageous.
Experience:
Typically 3–8 years in software or data engineering (level-dependent), ideally with exposure to trading, OMS, middle/post-trade, or latency-sensitive systems.
Languages:
Strong proficiency in one or more of Java (17+), Rust, C++, or Python, with a focus on code quality and operational reliability.
Systems:
Strong understanding of high-performance, low-latency distributed systems, multi-threaded/concurrent programming, and — where relevant — JVM internals and GC behavior.
Connectivity & protocols:
Hands-on experience with FIX 5.0+, WebSocket, HTTP/2, and REST APIs, plus network protocol and TCP/UDP optimization.
Data & messaging:
Strong SQL (MySQL, PostgreSQL — schema design and performance tuning); experience with Redis and Kafka.
Infrastructure:
Comfortable in Linux/Unix environments; familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, AliCloud, GCP) and on-premise infrastructure.
Markets:
Understanding of market microstructure, order lifecycle, and core trading concepts such as PnL, margin, leverage, and market risk.
Mindset:
Strong analytical thinking, ownership, and attention to detail; able to work effectively under pressure in a fast-paced environment; a controls mindset around data quality and reproducibility.
Communication:
Excellent communication and collaboration skills across business and technical teams; fluency in English required, with Chinese/Mandarin a strong plus for global, cross-functional work.
Passion:
Genuine interest in crypto markets, blockchain, and the broader financial industry, and a drive to keep learning new technologies.
Nice to Haves
Prior experience in proprietary trading, market making, quantitative research, or front-office technology at exchanges, banks, or investment institutions.
Experience with execution algorithms (TWAP, VWAP, iceberg, sniper, smart order routing) and backtesting / strategy-simulation frameworks.
Low-latency tooling and IPC: Aeron, Chronicle Queue, Disruptor, shared-memory messaging, Agrona Collections, Protocol Buffers, SBE.
Frameworks and libraries such as Spring, Netty, and Vert.x.
Modern data platforms (Spark/PySpark, Iceberg, ClickHouse, InfluxDB), workflow orchestration (Airflow, Celery), and ML tooling (MLflow, TensorFlow).
Strong understanding of DeFi, blockchain, smart contracts, and crypto exchange APIs; exposure to event-contract / prediction markets.
Agentic programming fluency — hands-on use of AI coding tools (e.g., Claude Code, Codex) on real production work.
Risk and compliance experience; professional certifications such as CFA or FRM.
Technical Environment
Languages:
Java 17+, Rust, Python, C++
Protocols:
FIX 5.0+, WebSocket, HTTP/2, REST
Stack:
Spring, Netty, Aeron, Chronicle Queue, Disruptor, Kafka, Redis, etcd, MySQL, PostgreSQL, InfluxDB, ClickHouse, Iceberg, Spark
Infrastructure:
Linux/Unix, Docker, Kubernetes, CI/CD, AWS / AliCloud / GCP
Team Specializations
The Liquidity Platform comprises several engineering teams. Depending on your strengths and interests, you may join one of the following:
Delta One – Systematic Trading:
Build cross-venue liquidity and market-making strategies with deep market-microstructure and execution-optimization focus.
Option Market Making:
Build and operate automated option market-making strategies and pricing systems — managing volatility, greeks, and inventory risk while quoting continuously across crypto options venues.
Cash OTC:
Develop and own OTC trading strategies and their production environment, partnering closely with liquidity and product managers.
Trading Infra Service:
Build and maintain the core strategy engine and trading-infrastructure microservices on a distributed, enterprise-grade architecture. Deliver high-throughput, sub-millisecond order execution, market-data pipelines, and exchange connectivity.
Data Engineering:
Own the trade & position platform end-to-end — venue connectors, the Python + SQL data model, reconciliation, and data-quality controls.
Risk & Analytics:
Build a greenfield, next-generation risk platform — real-time risk monitoring, PnL/risk calculation, alerting, and circuit-breaking strategies.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on a business of operating a virtual asset trading platform in Hong Kong.
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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OKX
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If in doubt, please apply directly through our official careers website.
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Задачи:
— Проектировать схемы данных и писать высоконагруженные SQL-запросы для аналитических и OLTP-задач.
— Разрабатывать и поддерживать ETL/ELT-пайплайны, обеспечивая качество и консистентность данных.
— Оптимизировать производительность запросов: профилирование, анализ планов выполнения, выбор стратегий партиционирования и шардирования в ClickHouse.
— Участвовать в проектировании архитектуры хранения данных, выбирая подходящий движок (MergeTree, ReplacingMergeTree и др.) под конкретную задачу.
— Взаимодействовать с бэкенд-командой для интеграции слоя данных с сервисами приложения.
— Документировать решения, схемы и подходы для команды.
Требования:
— Уверенное владение SQL - сложные аналитические запросы, оконные функции, CTE, подзапросы.
— Опыт работы с ClickHouse от 3 лет: понимание архитектуры колоночного хранения, движков таблиц, материализованных представлений, настройки репликации и шардирования.
— Понимание принципов проектирования схем данных для OLAP-систем.
— Опыт работы с большими объёмами данных (десятки и сотни миллиардов строк).
— Навыки профилирования и оптимизации запросов.
— Знакомство с Linux на уровне уверенного пользователя.
Будет плюсом:
— Опыт работы с YDB — понимание модели данных, работа с YQL, знание подходов к проектированию распределённых транзакционных схем.
— Опыт с другими СУБД: MySQL, MariaDB.
— Знакомство с инструментами миграции данных (debezium).
— Понимание принципов распределённых систем и CAP-теоремы.
Условия:
— Полная занятость.
— Удаленка, офис\ гибрид (Москва).
— Возможность гибкого графика.
Location: London, UK
Workplace: Hybrid
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
Who You Are
You are a DevOps engineer with software development background who likes working on everything that helps to improve the quality of life for your team and providing your expertise in creating a performant CI/CD stack to boost the code development/build process.
What You’ll Do
- Collaborate closely with our engineering team to help them be more productive by improving development tools.
- Maintain a strong connection to the product and remain comfortable engaging in direct feature development
- You will take ownership of CI/CD stack, keeping it robust, observable, stable, and performant.
- Research, implement, and develop tools to help developers write new code.
- Ensure the CI/CD infrastructure and process is reliable and consistent.
What we’re looking for
- Solid background in Linux.
- Experience in CI/CD stack development and maintenance.
- Working proficiency with Ruby, Javascript or Python.
- Knowledge of AWS technologies (EC2, load balancing, auto-scaling, IAM, S3, Route53, etc.).
- Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana).
- Experience with containerization (Docker, Kubernetes, etc).
What we’d be particularly excited about
- Experience with CI build time optimization especially with Jenkins, Rspec and Cypress/Playwright.
- Familiarity with databases like MongoDB and/or ClickHouse.
- Experience with build systems like Webpack, Gradle, etc.
- Proficiency with the CI tools like Jenkins, TeamCity, etc.
What you’ll learn:
- You’ll learn about the Ruby language and the Rails framework since it’s used in many aspects of our projects and tools.
- You’ll gain deep insights into infrastructure automation using technologies such as Ansible and Terraform since they are central to our deployment strategies.
Blog Posts
Read more about some of our Technical challenges here (written by members of our engineering team):
https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers
About Sensor Tower
Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide.
Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem.
Why Sensor Tower?
Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love!
GLOBAL TEAMS
Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver.
We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
The role
This is a foundational role on Sierra's Operations team, sitting at the intersection of marketing and GTM. As Marketing Operations and Analytics Lead, you'll own two things: the measurement infrastructure that connects marketing programs to pipeline and revenue; and the operational processes that make the marketing engine run efficiently and at scale.
What you'll do
- Full-funnel attribution: Design and own Sierra's marketing attribution framework, connecting campaigns, events, content, and demand gen programs to pipeline generation and ultimately LTC conversions.
- Pipeline analytics: Partner with Marketing and Sales to analyze pipegen by vertical, region, and segment. Track conversion rates at each stage and surface where marketing programs are—and aren't—generating high-quality opportunities.
- Performance reporting: Build and maintain the marketing team's core performance dashboards—campaign ROI, event pipeline influence, channel mix, lead quality, and funnel velocity.
- ICP & account intelligence: Develop data-driven ICP scoring and account prioritization models to focus marketing investment on segments with the highest win rates and ASPs. Integrate signals from first-party and third-party intent sources to keep targeting sharp.
- Experiment design & optimization: Design rigorous A/B and multivariate tests across marketing channels. Establish the statistical standards the team uses to evaluate new programs; translate results into clear, actionable recommendations—not just p-values.
- Lead management & routing: Define and maintain lead scoring models, MQL thresholds, and routing logic from first touch to Sales handoff. Partner with Sales to ensure lead quality, minimize friction, and continuously improve conversion from MQL to pipeline.
- Campaign operations: Own the operational infrastructure behind campaign execution—email programs, landing page workflows, event lead capture, and list management. Build processes that let the demand gen and events teams move quickly without creating data debt.
- Cross-functional partnership: Serve as the analytical and operational bridge between Marketing, GTM Ops, Finance, and Sales leadership—ensuring marketing metrics are aligned with company PG, POC, and ARR targets; contribute to quarterly business reviews (QBRs) and annual planning with marketing-specific performance analysis and forecasts
What you'll bring
- 12+ years spanning marketing analytics and marketing operations
- Deep expertise in attribution modeling, multi-touch funnel analysis, and pipeline/revenue measurement in long, multi-stage enterprise sales cycles
- Hands-on martech stack experience—marketing automation (Marketo, HubSpot, or similar), Salesforce, lead routing, and third-party enrichment tools
- Strong SQL skills; fluency working with large datasets in modern data stacks (ClickHouse, Snowflake, BigQuery, or similar)
- Proven ability to translate complex analyses into clear narratives for non-technical stakeholders, including C-suite executives
- High attention to detail and a strong point of view on what "good" looks like—you've built this infrastructure before and know where the landmines are
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
United states; proven delivery across US/EU/India time zones; builds async rituals, documentation standards, and handoff mechanisms that raise velocity and quality
УдалённоRemote - United States
United States of America
United States of America
seniorAmsterdam, Netherlands
seniorHong Kong, Hong Kong SAR; Singapore, Singapore
ГибридLondon, UK; Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM