Location: Remote (Worldwide)
Logos is a movement supporting the development of the decentralised web. Logos technologies lay the foundations for a freer internet upon which communities can evolve into network states. Each protocol in the Logos stack seeks to empower its users while upholding civil liberties and fundamental freedoms.
About Logos (λ)
Logos (λ)
is a movement of technologists, creatives, strategists, and activists working together to build a sovereign, people-owned technology stack that revitalises civil society and protects digital liberties at scale.
This position is within the IFT Technical Services (IFT-TS) Distributed Systems Testing (DST) Team, a team that primarily supports Logos, while also contributing to other IFT projects.
The role
We are seeking an experienced Distributed Systems Evaluation Engineer to join the Institute of Free Technology - Technical Services, on the Distributed Systems Testing (IFT-TS DST) team. This role focuses on rigorously assessing the performance and reliability of IFT projects at scale, where Logos (λ) is one of them.
Logos (λ) technology stack is composed of 3 main components:
Logos (λ) Blockchain
: Advanced privacy for a new era of decentralised applications and social institutions.
Logos (λ) Messaging
: Private peer‑to‑peer communication that resists surveillance and censorship.
Logos (λ) Storage
: Secure decentralised storage enabling fully decentralised apps and file sharing.
We are looking for a talented and enthusiastic DevOps Engineer to join our Distributed Systems Testing (DST) team.
You’ll be responsible for designing and executing comprehensive evaluation strategies, leveraging both large-scale lab deployments and protocol behavior modeling scripts. Your expertise will be crucial in analyzing these complex distributed systems, automating intricate test scenarios, and providing in-depth insights into system behaviors.
Working closely with cross-functional teams, you’ll troubleshoot complex issues and translate technical data into actionable recommendations. Proficiency in containerization, cloud technologies, and distributed systems principles is essential.
Key responsibilities
Design, configure, and optimize Kubernetes clusters to support large-scale experiments and benchmarks of P2P technologies.
Continuously improve cluster scalability and resource utilization, enabling increasingly complex deployments and experiments.
Set up, maintain, and optimize supporting infrastructure such as monitoring, logging, and observability stacks (Grafana, Prometheus, Loki, etc.).
Collaborate with DST researchers and engineers to streamline experimentation workflows and make analysis easier and more reproducible.
Automate infrastructure and deployment workflows to increase reliability and reduce overhead.
Troubleshoot, profile, and tune distributed workloads to ensure accurate and performant benchmarking.
Identify, reproduce, and debug complex issues in distributed systems, working closely with Logos development teams.
You ideally will have
Strong experience with Kubernetes and container orchestration in production or research environments.
Hands-on experience with libp2p/gossipsub
Solid understanding of cloud infrastructure, Linux systems, and networking (especially relevant to distributed/P2P systems).
Familiarity with monitoring and logging tools (Grafana, Prometheus, VictoriaLogs, etc.).
Experience with infrastructure as code (Terraform, Ansible, Helm, etc.).
Proficiency in at least one scripting/programming language (ideally Python).
Interest in or experience with distributed systems, P2P networks, or blockchain technologies.
Experience with networks and systems programming.
Excellent written and conversational communication skills.
Alignment with our core values and principles.
Bonus points
Hands-on experience with projects in the Logos collective.
Background in performance benchmarking, scalability testing, or systems research.
Contributions to open source projects.
Experience working for an open-source organization.
Interview Process
Interview with our POps team
Interview with team member from the IFT-TS DST team
Pair programming & discussion of results
Interview with IFT-TS team lead
Location: New York; Charlotte; Atlanta; Washington D.C.; Boston
Workplace: Remote
WHY PRODUCT ENGINEERING AT LANGFUSE
Your work will have an outsized impact.
Everything you build is open source (MIT-licensed) and immediately visible. Langfuse has 35,000+ GitHub stars and our SDKs are downloaded more than a hundred million times per month. When you ship a new feature the community notices in GitHub issues, on X, and in our community channels.
Product engineers at Langfuse are the people who deliver new features end-to-end to our users. You own the product thinking from understanding the user problem to deciding what to build to shipping the solution.
You will also have direct exposure to how cutting-edge LLM applications are built. The users you serve are some of the best and most ambitious software engineers leveraging Langfuse to improve their applications. Deeply understanding the problems they solve will help you design the best possible product and along the way makes you an expert on LLM engineering yourself.
YOU WILL GROW AT LANGFUSE BY
- Own features end-to-end: from talking to users, to writing the spec, to shipping the code and docs, to writing the changelog post https://langfuse.com/changelog with your name on it. To give you a sense: recent features a single engineer owned include the Langfuse for Agents https://langfuse.com/changelog/2025-11-05-langfuse-for-agents release (new trace views, agent graphs, semantic span labels), the TypeScript SDK v4 https://langfuse.com/changelog/2025-08-28-typescript-sdk-v4-ga rewrite on OpenTelemetry, and managing dashboards via API/CLI/MCP https://langfuse.com/changelog/2026-07-17-dashboard-and-widget-operations-in-api.
- Work across the full stack: and we mean full. Our surface area is wide: React frontend, Next.js backend, ClickHouse analytics, Python and TypeScript SDKs, public docs, Terraform modules, and more. You'll touch whatever the feature needs. One week you might be writing a new ClickHouse query for cost analytics, the next you're designing an SDK API, the next you're building a new rust worker for faster data processing.
- Talk to users constantly: jump on calls, respond in community channels, and route support requests. At Langfuse, support is how we build conviction about what to build next. Our handbook says it best: support by engineers is a core value proposition.
- Write public documentation about the features you own. At Langfuse, docs are product.
- Ship publicly during Launch Weeks: we've run four Launch Weeks https://langfuse.com/blog/2025-10-29-launch-week-4 so far, dropping a new feature every day for a week. Engineers present the features they built to the community.
WHAT WE’RE LOOKING FOR
- Someone who has built features or even entire products from scratch end-to-end
- Experience building and shipping user-facing products end-to-end, ideally in TypeScript/React and with exposure to data-intensive backends
- Someone who can manage projects themselves. You know how to develop strong conviction about what to build and how to ship it.
- Taste for great developer experience: you care about API design, UI details, and clear documentation
- Interest in open source software and genuine excitement about talking to developers about their problems
- Thrives in a small, accountable team where your output is visible and matters
- CS or quantitative degree preferred
Bonus points:
- Experience with ClickHouse, analytics databases, or building complex data visualizations
- Former founder or early startup experience
- Contributions to popular open source projects
- ML/AI background or familiarity with the LLM framework ecosystem
No candidate checks all boxes. If you feel you are a good fit for this role, please go ahead and apply.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: New York, NY, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About The Role
We are looking for a Sr Staff Platform Engineer to join our Platform team based in the United States. Our team is responsible for providing engineering teams with the platform and tooling responsible for deploying and running the core critical services that power the entire Fanatics business. You will own and lead complex initiatives across cloud infrastructure, Kubernetes platforms, CI/CD systems, observability, and internal developer tooling.
As a Senior Staff Platform Engineer, you will be the technical lead for our platform team, owning the technical direction and priorities across every area of our platform. You will lead large, high-impact programs that span quarters, working through ambiguity and dependencies with the engineering teams that build on our platform to align technical and business goals. You will stay hands-on in the hardest technical work, set the standards for how our platform is designed, built, and operated, and shape the capabilities that engineering teams rely on to ship and run their services. You will regularly present ideas to senior leaders and mentor engineers across the team.
What You’ll Do
Help drive technical design and delivery of core platform capabilities spanning cloud infrastructure, Kubernetes platforms, Observability, CI/CD systems, and developer tooling
Lead end-to-end execution of complex, multi-quarter features and systems, from architecture and design through deployment and continuous refinement.
Partner with other engineering teams to improve reliability, scalability, and performance of services running in cloud-native environments.
Contribute to incident response and resolution, helping to drive improvements in availability and system stability.
Advocate for best practices in software delivery, infrastructure management, and operational excellence.
Mentor engineers and contribute to a strong engineering culture within the team.
Stay current with emerging technologies and industry trends, bringing innovative solutions to the team.
What We’re Looking For
10+ years of experience in platform, infrastructure, DevOps, or software engineering
Proven experience successfully leading and delivering complex cross-team, multi-quarter initiatives.
Track record of breaking down complex work into clear, achievable milestones and delivering predictably using agile practices.
Strong software engineering background, with experience in backend development and distributed systems.
Deep understanding of the AWS cloud platform and cloud-native architectures.
Proficiency in Infrastructure as Code (Terraform, CloudFormation) and automation.
Hands-on experience with CI/CD pipelines, deployment automation, and developer productivity tooling.
Deep expertise with Kubernetes and container orchestration in production environments.
Strong knowledge of observability (logging, metrics, tracing) and experience improving system visibility and reliability.
Experience with incident management and operational best practices for large-scale systems.
Proficiency in Go or Python.
Familiarity with AI-assisted development tools.
Strong foundation in platform security concepts.
Ability to collaborate effectively across teams, communicate complex topics clearly, and influence engineering best practices.
Outcome-driven mindset with a focus on solving real-world engineering challenges.
A positive, adaptable attitude suited for a fast-moving environment.
Nice To Have
Experience scaling services globally
FinOps or cloud cost management experience
Regulated or high-availability environment experience
Experience with Java or Kotlin
Familiarity with GitHub Actions
Experience with Kafka and Cassandra
Why Join Us?
Work on high-impact platform engineering challenges at scale.
Collaborate with experienced engineers who value technical excellence and innovation.
Play a key role in shaping the developer experience and operational foundations of Fanatics Core.
Join a culture that encourages learning, growth, and technical leadership.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-VG1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$220,000
—
$275,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: ES - Barcelona, Spain
Senior Data Platform Engineer
Scopely is looking for a
Senior Data Platform Engineer
to join our Playgami Data Platform team.
At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily.
Playgami builds technology for game teams across Scopely. Our Data Platform provides the shared foundation that enables teams to use data safely and reliably at scale, supporting
15+ games and 2,000+ active users
across Scopely and processing more than
60TB of data per day
.
What You’ll Do
As a Senior Data Platform Engineer, you will build and improve the shared infrastructure, tooling, and services that power data and analytics teams across Scopely.
You will investigate platform needs, evaluate technical tradeoffs, and turn agreed priorities into tested code and reusable infrastructure. Working closely with data and analytics teams, Security, and Governance, you will take platform improvements from technical design through deployment and operation.
Your main responsibility will be to improve the
security, reliability, scalability, and efficiency
of our Data Platform while making it easier for teams to build and operate their data workloads.
You will lead the technical design and delivery of platform improvements, making informed tradeoffs between reliability, security, scalability, and cost as part of a shared team roadmap.
Build and operate shared
GCP and BigQuery infrastructure
using Terraform, automated checks, and CI/CD.
Build scalable, self-service platform capabilities that enable data teams to develop, deploy, and operate workloads with less manual support.
Improve user and service account access, ensuring least-privilege principles and dependable approval, review, and revocation processes.
Translate Security and Governance requirements into practical controls for sensitive data and data sharing.
Improve
Airflow and Cloud Composer
reliability through troubleshooting, staged upgrades, and tested recovery processes.
Improve cloud data platform performance and cost efficiency using workload and capacity insights.
Build actionable monitoring and alerts, investigate incidents, and implement improvements to prevent recurring failures.
Partner with teams to understand their needs, investigate platform challenges, evaluate potential solutions, and help shape the technical roadmap.
Make platform workflows easier to adopt and operate through documentation, runbooks, and mentoring.
Provide infrastructure, access controls, and shared tooling that help teams use data safely and reliably at scale.
What We’re Looking For
Experience designing, deploying, and operating production cloud or data platforms, including safe releases and recovery.
Hands-on experience with
GCP, BigQuery, IAM, service accounts, and Cloud Storage
, or strong equivalent cloud experience.
Experience authoring
Terraform and CI/CD workflows
, testing infrastructure changes, and resolving drift.
Experience with
Python
for reusable automation and
SQL
for investigating data and workload behavior.
Experience implementing and validating least-privilege access, sensitive data controls, and audit logging.
Experience operating
Airflow, Cloud Composer, Dagster
, or a similar workflow orchestrator.
Demonstrated experience reducing manual work or improving platform reliability, workload performance, or cloud costs.
Strong English communication skills and experience collaborating with engineering, security, and data teams.
Bonus Points
Experience with BigQuery reservations, capacity management, query optimization, and cost attribution.
Experience with Cloud Composer migrations or upgrades, multi-environment orchestration, and recovery testing.
Experience with Workload Identity Federation, short-lived credentials, access approval integrations, or tools such as Britive and Lumos.
Experience with data classification, column-level controls, masking, controlled sharing, or automated discovery of sensitive data.
Experience automating and operating
Looker, dbt, Fivetran, or Cube
as shared platform services.
Experience supporting automated data workloads, including access controls, monitoring, and cost limits.
Experience using AI-assisted tools for platform automation, troubleshooting, or documentation, with appropriate testing and review.
You do not need experience with every tool listed. We value production ownership, sound engineering judgement, and the ability to learn. Relevant experience can come from data platform, cloud infrastructure, software engineering, DevOps, or site reliability roles.
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Задачи:
— Участвовать в архитектурных решениях, проектировании, развитии и эксплуатации PaaS-платформы на базе Kubernetes, включая компоненты ClickHouse и Redis/Valkey.
— Автоматизировать жизненный цикл Data Services: развертывание, масштабирование, миграции, обновления, резервное копирование, репликацию и восстановление.
— Создавать и развивать решения самообслуживания для команд разработки.
— Стандартизировать и развивать платформенные практики: Service Catalog, SLO/SLA, GitOps и IaC.
— Участвовать в устранении инцидентов, анализировать стабильность и производительность платформы.
— В первую очередь развивать платформенные компоненты для ClickHouse и Redis/Valkey, формировать стандартные сценарии их предоставления и эксплуатации в Kubernetes.
Требования:
— Понимание Kubernetes как платформы: архитектуры control plane и data plane, жизненного цикла объектов, примитивов нагрузки Deployments, StatefulSets и DaemonSets, механизмов контроля и reconciliation.
— Уверенное знание Kubernetes storage stack: StorageClass, PVC/PV, особенности stateful-нагрузок, репликация и отказоустойчивость.
— Практический опыт эксплуатации и тюнинга ClickHouse от 3х лет: репликация, шардирование, ClickHouse Keeper, оптимизация запросов и хранения, резервное копирование и восстановление.
— Практический опыт эксплуатации Redis или Valkey: репликация, Sentinel или Cluster, механизмы персистентности, переключение при отказах, оптимизация памяти и задержек.
— Опыт развертывания и эксплуатации stateful-операторов Kubernetes для ClickHouse и Redis/Valkey или участие в разработке и кастомизации собственных операторов.
— Опыт работы с Terraform и понимание принципов IaC.
— Опыт построения CI/CD pipelines для инфраструктурных компонентов.
— Практическое владение GitOps-подходом, например Argo CD или Flux, и умение проектировать процессы развертывания платформенных компонентов.
— Понимание процессов Software Development.
Дополнительно приветствуется:
— Опыт решения эксплуатационных задач, связанных с кластеризацией, высокой доступностью, backup/restore и производительностью других Data Services в Kubernetes.
— Опыт разработки Kubernetes-операторов и контроллеров на Go или Python.
— Опыт работы с multi-tenancy в Kubernetes.
— Знание принципов распределенных систем: CAP, Raft, quorum и consensus.
— Опыт участия в архитектурных обсуждениях и принятии решений при построении PaaS/DBaaS.
— Опыт работы с policy-as-code: OPA, Gatekeeper или Kyverno.
— Экспертиза в observability-стеке: Prometheus, Grafana, VictoriaMetrics и Jaeger, умение строить метрики и алерты для Kubernetes и Data Services.
— Умение находить корневые причины инцидентов, связанных с latency, IO bottlenecks, сетью и потреблением памяти.
— Опыт работы с Helm и проектирования production-чартов.
Условия:
— Полный рабочий день.
— Возможна удалённая работа из любого города России.
— Официальное трудоустройство, полностью белая зарплата.
— Медицинское страхование (ДМС) и возможность онлайн-консультаций с врачами.
— Возможность выступать на конференциях и писать статьи.
— Собственный учебный центр с курсами, тренингами и книгами для повышения квалификации.
— Офисы в Москве, Санкт-Петербурге и Новосибирске для гибридного формата работы.
Компания «Группа Астра» — один из лидеров российской IT-индустрии, ведущий производитель программного обеспечения, включая защищённые операционные системы и платформы виртуализации. Флагманский продукт — ОС семейства Astra Linux, разрабатываемая с 2008 года. В штате более 2300 сотрудников. Миссия компании — обеспечить технологический суверенитет России и её лидерство в мировой IT-индустрии.
Termidesk VDI — мультиплатформенный продукт для безопасной удалённой работы, позволяющий создавать виртуальные рабочие места на любых платформах виртуализации и управлять жизненным циклом виртуальных машин.
Задачи:
— Изучение продуктов ГК Астра
— Проведение установки ПО Termidesk на площадках интеграторов и заказчиков (удалённо либо с выездом на место)
— Анализ и моделирование нестандартных кейсов интеграции Termidesk с ИТ-инфраструктурой потенциальных заказчиков
Требования:
— Опыт работы с платформами виртуализации на базе qemu/kvm/libvirt (Openstack / ПК СВ Брест /oVirt/zVirt)
— Понимание принципов работы VDI
— Понимание работы протоколов SPICE / VNC / RDP
— Опыт работы с bash / shell / python / powershell
— Знание Linux (Astra Linux / Debian / CentOS) на уровне администратора
— Опыт администрирования продуктов Microsoft (AD, RDS)
— Опыт работы с PostgreSQL
— Понимание принципов работы сетевых служб (TCP/IP / DHCP / DNS)
Будет плюсом:
— Опыт администрирования Apache, Nginx, postgres, HAProxy, LDAP, Kerberos
— Опыт в настройках отказоустойчивости с применением Keepalived, Open vSwitch
— Опыт работы с ansible, Puppet, Foreman, Vagrant, Terraform, docker
— Опыт автоматизации типовых процессов администрирования Linux
— Опыт работы с платформами мониторинга (Zabbix, Graphana, Prometheus)
Условия:
— Уверенность в будущем
— Стабильный и прозрачный "белый" доход, полноценный соцпакет
— График в твоем ритме: начинать рабочий день можно в удобное время по согласованию с руководителем
— Забота о здоровье: оформление полиса ДМС со стоматологией
Operate and maintain BeyondTrust's on-premises and cloud network infrastructure, including routing/switching changes, datacenter resource changes, and routine firewall/security group changes end-to-end across on-prem and cloud environments; Demonstrated proficiency in Administrator/Engineer-level on-premises networking fundamentals.
Location: Limassol, Cyprus
We are looking for a hands-on DevOps Lead to own our infrastructure architecture, reliability and security, while building an agentic Site Reliability Engineering (SRE) practice.
You will lead two DevOps engineers and design secure, scalable cloud environments across markets and licences. A key part of your role will be defining how AI agents support production operations, from incident triage and investigation to controlled remediation, with clear permissions, approval workflows and human accountability.
Key Responsibilities:
Infrastructure Architecture & Reliability
Own the design and evolution of our AWS infrastructure, Kubernetes environments and Terraform infrastructure as code.
Design environments for individual markets and licences, ensuring appropriate isolation, resilience and regulatory alignment.
Define service-level objectives (SLOs), monitoring standards and reliability improvements.
Own incident management, escalation procedures, on-call practices and post-incident reviews.
Agentic SRE & Operational Automation
Build the agentic SRE operating model, defining what agents can triage, investigate and remediate autonomously, and when human approval is required.
Own the infrastructure Model Context Protocol (MCP) layer, including tool access, permissions, guardrails and audit trails.
Establish agents as first responders within defined boundaries, with people accountable for critical decisions.
Equip Production Operations with agent tooling that reduces manual monitoring and repetitive operational work.
Validate agent actions and improve automation through production feedback, measurable outcomes and safe rollback mechanisms.
Security, Compliance & Cost Management:
Embed security and least-privilege access into infrastructure and agent workflows.
Define controls that limit the impact of automated actions, including approval gates, execution boundaries and traceability.
Support compliance requirements, licence audits and infrastructure security reviews.
Own cloud cost visibility and optimisation, including LLM usage and token spend.
Team Leadership:
Lead, mentor and develop two DevOps engineers.
Set technical priorities, engineering standards and delivery expectations.
Partner with Engineering, Production Operations and Security to balance delivery speed, reliability and compliance.
Must-Have Experience:
6+ years of experience in DevOps or SRE, including 2+ years in a technical leadership role.
Strong hands-on experience operating AWS, Kubernetes and Terraform at scale.
Proven ownership of production reliability, incident management and on-call processes.
Demonstrated experience running agentic operations in production, such as MCP servers, AI-driven incident triage or automated remediation.
Ability to design guardrails for AI agents in regulated environments, including approval workflows, audit trails and controls that limit the scope and impact of agent actions.
Experience leading engineers while remaining actively involved in architecture and implementation.
Nice to Have:
Experience in iGaming or other regulated environments, including ISO 27001 and licence audits.
Experience building an internal AI operations platform or Slack-based ChatOps with agents.
Familiarity with evaluation frameworks and observability for LLM agents.
Experience with OpenTelemetry.
By joining us, you can expect:
A unique opportunity to build a career in a global, fast-growing company.
An attractive remuneration package, based on qualifications and experience.
Continuous learning and development opportunities.
Company-wide events and team activities, fostering a fun and supportive work environment.
Wolt monthly allowance.
Snack Heaven! Our fully equipped kitchen offers free snacks, fruits, and beverages.
Medical and wellness app, supporting both mental and physical well-being!
Apply now and let’s achieve success together
Apply at https://aloplay.bamboohr.com/careers/119?source=aWQ9MTg%3D
to become a member of our amazing team!
We appreciate all applicants' interest in our open position. Due to the large number of applications, only those who are being considered for the role will be contacted. All applications will be handled with the utmost confidentiality.
Задачи:
— Поддерживать стабильную работу Kubernetes-кластера и обеспечивать высокую доступность сервисов
— Проектировать и внедрять решения по управлению инфраструктурой (IaaC: Ansible, Terraform)
— Разрабатывать и поддерживать CI/CD процессы
— Управлять жизненным циклом приложений в Kubernetes (установка, обновление, масштабирование)
— Обеспечивать безопасность инфраструктуры и сервисов
— Проводить диагностику и устранять инциденты
— Работать над улучшением производительности и оптимизацией ресурсов
— Настраивать системы мониторинга и логирования
— Интегрироваться с облачной инфраструктурой (создание, удаление, изменение ресурсов)
Требования:
— Понимание CI/CD, умение настраивать пайплайны в Jenkins, GitLab CI (или GitHub Actions)
— Уверенная работа с Git (Git Flow)
— Создание и управление контейнерами (Docker, Docker Compose)
— Знание Linux (bash-скрипты, администрирование)
— Понимание основ сетей: TCP/IP, DNS, HTTP/HTTPS, VPN, балансировка нагрузки
— Работа по принципу Infrastructure as a Code
— Администрирование Kubernetes: разворачивание кластеров (kubespray, kubeadm, вручную), знание компонентов (etcd, kube-apiserver, kubelet, CNI, ingress-контроллеры), устранение проблем
— Управление инфраструктурой через Terraform
— Автоматизация конфигурации серверов через Ansible
— Установка приложений в Kubernetes через Helm
— Опыт работы с облачными провайдерами (AWS, GCP, Azure, Cloud.ru)
— Настройка систем мониторинга и логирования (Prometheus, Grafana, Loki, ELK)
Будет плюсом:
— Опыт работы с VictoriaMetrics
— Глубокие знания CNI и ingress-контроллеров
Условия:
— Конкурентная зарплата с годовой премией (обсуждается на собеседовании)
— Официальное оформление в российскую ИТ-компанию с аккредитацией
— Бонусы: ДМС, бесплатная подписка «СберПрайм+», скидки на изучение английского, бесплатный фитнес в офисе или скидки на абонементы, скидки от партнёров Сбера, корпоративная пенсионная программа
— Льготная ипотека в Сбере
— Удобный формат работы: удалённо или в гибридном формате, «короткая» пятница
Location: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
RESPONSIBILITIES
- Kubernetes Ownership: Manage and scale Kubernetes clusters on AWS EKS, ensuring reliability, performance, and security.
- Infrastructure Automation: Implement and maintain Infrastructure-as-Code (Terraform/Pulumi) to automate infrastructure provisioning and management.
- Performance Optimization: Monitor and optimize system performance, scalability, and resource utilization.
- Blockchain Infrastructure: Configure and maintain crypto nodes across multiple blockchains to support our wallet’s operations.
- Database Scaling: Optimize and scale database infrastructure to handle terabytes of blockchain data efficiently.
- System Reliability: Continuously improve system uptime, monitoring, and observability using tools like Datadog and OpenTelemetry.
- Collaboration: Work closely with backend and product teams to support feature development and system scaling.
QUALIFICATIONS
- 5+ years in a SRE or Software Engineer role.
- Strong hands-on experience with Kubernetes (EKS) in production environments.
- Proficiency with AWS infrastructure and services (EC2, S3, RDS, IAM).
- Solid experience with Docker and Infrastructure-as-Code tools like Terraform or Pulumi.
- Monitoring and observability experience using tools like Datadog or OpenTelemetry.
The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Data Engineer II to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Build, optimize, and maintain data pipelines that power our business
Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
Protect our users’ privacy and security through best practices
The ideal candidate has:
2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
Expertise in SQL and Python
Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry.
Familiarity with healthcare or insurance
Familiarity with data security and HIPPA compliance
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $
138,000 - $160,000
. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Brussels; Rome; Barcelona; Zug; Porto; Cape Town; Istanbul; Eindhoven; Geneva; Milan; Amsterdam; Manama; Madrid; London; Dubai; Berlin; Antwerp; Copenhagen; Vienna; Prague; Athens; Budapest; Paris; Frankfurt; Dublin; Warsaw; Sofia; Luxembourg; Remote; Zurich; Abu Dhabi; Lisbon; Tallinn; London OR Brussels; Seychelles; Rotterdam; Krakow; Johannesburg; Zagreb
SENIOR DATA ENGINEER
ABOUT KEYROCK
Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation.
Today, we partner with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from self-taught DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, and Singapore, and host regular online and offline hangouts to keep the crew tight.
We are trading on more than 80 trading venues, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks.
But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives.
At Keyrock, we're not just envisioning the future of digital assets. We're actively building it.
ABOUT THE TEAM AND WHY THE ROLE EXISTS
The Central Data Team (CDT) is only a few months old, but data has been Keyrock's lifeblood since day one. We're now building the Keyrock Data Platform to give Keyrockers, and the AI agents working alongside them, the data and context they need to act fast and autonomously within agreed boundaries and aligned with our shared goals. Doing that means taking data from across the company and making sense of it in real time for all the functions that depend on it: trading desks, wealth and asset management, product, risk, finance, compliance, and research to name a few.
You'd be one of the early hires in CDT and we expect you to contribute to most of the bigger decisions and build work. The standards we settle on and the way the team ends up working are still open.
WHAT YOU’LL DO
- Build streaming and batch pipelines that ingest, normalise, and distribute market, trading, and portfolio data, resilient to feed and exchange failures.
- Build the self-serve tooling (SDKs, patterns, templates, AI agents) so other teams publish, consume, and build on data products without waiting on us.
- Own data contracts and schema evolution. Keep schema changes from turning into multi-team coordination events.
- Design the lakehouse and time-series layer around consumer query patterns.
- Build and evolve the Data Governance and Data Quality Framework: stale-feed detection, schema validation, range checks, idempotent writes, lineage, ownership, self-healing.
- Build the derived analytics the business runs on: cross-exchange spreads, VWAP at depth, order book microstructure for the desks; portfolio views, exposure, performance for wealth and asset management.
- Make observability, cost, and performance first-class from day one.
- Treat infrastructure as code (Docker, Terraform, CI/CD) alongside our Central Infrastructure Team.
- Work in the open: write things down, partner closely with Architecture, Infrastructure, Platform, and the rest of the teams.
WHAT WE’RE LOOKING FOR
Tools matter less to us than how you think about problems. That said, here's the shape of the person we have in mind.
Engineering Craft
- 8+ years of building production data systems that other people rely on.
- Strong proficiency in Python and SQL: not just being able to write a query, but being able to reason about what the engine is doing with it.
- Code that's easy for someone else to read, test, and delete later.
- Strong understanding of data modelling for both streaming and analytical workloads.
- Efficiency, quality, idempotency, and observability are taken seriously by default.
Systems Design
- You've designed and operated streaming systems on Kafka, Redpanda, MSK, or Kinesis, and you have opinions about partitioning, consumer groups, offsets, and schema registries.
- You've used a time-series store in production (ClickHouse ideally; TimescaleDB, QuestDB, or similar are fine too) and can talk about table design as a function of query patterns.
- You've worked with a lakehouse architecture and reason about table layout, partitioning, and compaction as design choices that shape query performance and storage cost.
- You build for self-healing and idempotency. Reprocessing is safe, retries don't double-write, and the system recovers without a human in the loop.
Operational Readiness
- Docker, Terraform, and CI/CD are how you work, not a separate "DevOps" thing.
- You think about cost and performance early.
- You instrument as you build: logs, metrics, and traces are part of the system from day one.
- You design for data quality and governance up front covering contracts, validation, lineage, and ownership
How You Think and Work
- You reason from first principles when a problem is new, stay pragmatic when it isn't, and update your view when you learn more.
- You treat the trading desks, wealth and asset management, product, risk, finance, compliance, and research as customers of what you build, and communicate with them that way.
- You optimise for outcomes over output. A smaller, simpler thing that ships and works beats a bigger thing that doesn't.
- You take ownership end-to-end: design, ship, operate, improve.
- You say what you think including when it's an unpopular take. You change your mind when the argument is better.
- You make the people around you better. Reviews are real, juniors grow from working with you, and peers want to work with you again.
- You're curious about how markets work. Data engineering on its own won't keep you interested here.
- You're honest about what you know and what you don't, and quick to close the gap.
- You understand financial market data: order books, trades, reference data, portfolios, exposures. Crypto, TradFi, or both are a strong plus.
NICE TO HAVE
- Lakehouse experience with Apache Iceberg or Delta Lake.
- Familiarity with DataHub or similar metadata/lineage platforms.
- Rust. Some of our performance-critical services are written in it. Interest is welcome; fluency isn't required.
WHAT YOU’LL GET
- A from-scratch mandate. You'll be among the first hires in CDT, and the platform, the standards, and the team culture are yours to shape with us.
- Strong partners. Close working relationships with Architecture, Infrastructure, Platform, and the desks themselves. You won't be building data in a vacuum.
- Autonomy on how you work. Flexible hours, remote-first, business-hours on-call shared across the team.
- A competitive salary package, with various benefits.
- A team that likes each other. Regular online get-togethers and a yearly onsite where everyone's in the same room.
OUR RECRUITMENT PROCESS
We’re after those with the right skills and a conscious choice to join our field. The perfect fit? Someone who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock
Location: New Jersey; New York; Connecticut
Workplace: remote
About the role:
At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems.
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive.
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented.
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket.
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack.
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name.
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name.
Requirements:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way.
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly.
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why.
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits.
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room.
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job.
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses).
Nice to have
Containers and orchestration (Kubernetes/ECS) and CI/CD in production.
IaC depth: AWS CDK, CloudFormation, Terraform.
Open-source contributions or public writing on applied AI.
What you’ll do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it.
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously.
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it.
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice.
What We Offer:
Full-time.
On-site visits to client’s facilities and our office in NYC 1/week
Unlimited Vacation policy.
Generous health, vision, and dental insurance.
401(K) matching plan.
Base salary $200k–$250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
No Visa sponsorship
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team.
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates.
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO.
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
Location: United States
Workplace: Remote
You lead rollouts, monitor health and usage, and keep stakeholders informed. You bring the technical fluency to guide deployment and adoption decisions, connect technical priorities to business outcomes, and engage specialists when deeper expertise is needed. You partner with Sales on expansions and renewals, and with Solutions, Support, Product, and Engineering on implementation, issues, and feedback.
What you’ll do here
- Own onboarding and rollout plans for new customers; coordinate with Sales and Solutions for a smooth, successful implementation of Coder’s platform.
- Remove barriers to adoption so customers achieve their desired outcomes expediently.
- Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations.
- Own the account’s technical success plan: translate customer goals and deployment context into adoption milestones, technical priorities, and a roadmap for broader use of Coder. Align owners and timelines, and track progress against agreed outcomes.
- Guide customer admins and platform teams on deployment readiness, configuration best practices, and ongoing adoption. Lead technical discovery, facilitate admin enablement, and troubleshoot common adoption blockers; coordinate Solutions, Support, or Engineering for architecture design, complex implementations, and deeper troubleshooting.
- Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross-sell motions.
- Oversee renewals and forecasting, ensuring timely, successful commitments.
- Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve them.
- Monitor and report on customer health and usage, including technical risks and progress toward adoption milestones.
- Develop deep expertise in Coder’s products to provide global customer coverage.
What we’re looking for
- 5+ years in customer success or a technical customer-facing role, with experience independently managing enterprise accounts and driving adoption, retention, and expansion.
- Practical knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC; ability to discuss how these fit into a customer’s environment and inform their adoption strategy.
- Experience guiding customer onboarding and deployments in SaaS or self-hosted environments. Able to understand a deployment architecture, ask informed questions about infrastructure and security, investigate common issues using logs and documentation, and turn findings into clear next steps.
- Hands-on experience with Salesforce and other industry-standard CS platforms.
- History of building strong relationships across executive, business, and technical stakeholders.
- Consistent internal advocacy for customers and ability to provide actionable feedback for Product and cross-functional teams.
- Habit of staying current on industry trends, CS best practices, and the competitive landscape.
- Startup experience.
- High EQ with strong verbal communication and technical writing skills.
- Self-motivated with a creative and analytical approach to problem-solving.
Bonus tacos if you have
- Customer success or sales experience focused on developer tools.
- Renewal management experience.
- Experience with Totango or a similar Customer Success platform (e.g. Gainsight, Pylon).
- Tinker with AI and the developer tools ecosystem (e.g. ChatGPT, Claude, Cursor).
- Hands-on familiarity with Kubernetes, cloud environments (AWS, GCP, Azure), or infrastructure as code tools such as Terraform.
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
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