Location: San Francisco; New York
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform.
Specifically, you’ll be working on Modal’s machines layer: the fleet of bare-metal and cloud hosts that every Function, Sandbox, and training job runs on, and the control plane that provisions, images, monitors, and repairs them.
You’ll automate the integration of new capacity from a growing set of hardware providers, from auditing and benchmarking hosts and clusters to maintaining our machine images, configuring GPUs, RDMA, networking, and storage, and getting machines into production. You’ll build the automation that keeps the fleet healthy without human intervention: detecting bad GPUs, thermals, and disks. You’ll dig into whatever is between the hardware and the software that runs on top of it, whether that is a kernel panic, a broadcast storm during boot, or getting our container runtime to run on new architectures and platforms.
WHAT YOU'LL WORK ON:
- Automate remediation of unhealthy machines (power cycling, reimaging, GPU recovery) to maximize uptime and minimize operator toil
- Automate integration of new CPU, GPU, and storage servers into the fleet while managing hardware and network heterogeneity
- Monitor network health and reliability across many datacenters, and standardize bare-metal network configuration
- Automate hardware acceptance testing and benchmarking (CPU, disk, GPU, interconnect, network)
- Build our custom network bootloader, machine image pipeline, and kernel and firmware management across the fleet
YOU MAY BE A FIT IF:
- You have 5+ years of experience writing high-quality production code
- You’ve operated fleets of physical hardware (bare-metal provisioning, BMC/IPMI, PXE or network boot, firmware) or built the control planes that manage them (the more challenges you’ve worked through, the better)
- You have strong cloud skills
- You have strong knowledge of low-level operating system foundations (Linux kernel, drivers, networking, file systems, containers, etc.)
- You’re effective at debugging across layers, from BGP flapping, Linux RPS, and vBIOS bugs to a Python control-plane service
- You’re willing to step into the thick of it with our on-call rotation and respond to production incidents
NICE-TO-HAVES:
- Experience with GPUs and the NVIDIA software stack in production (drivers, health monitoring, XIDs, RDMA/NVLink)
- Prior experience with Go
Location: Stockholm; New York
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform.
Specifically, you’ll be working on the distributed object storage system that underpins every container image, volume, and checkpoint on Modal: hundreds of petabytes of data, replicated across multiple cloud object stores and a CDN, cached on local NVMe across a large fleet of workers in many datacenters, and shared peer-to-peer within each datacenter.
You’ll make cold starts feel local when the data is hundreds of milliseconds away, designing the caching, preloading, and peer-to-peer layers that hide object-store latency and keep public ingress off saturated uplinks. You’ll own durability and cost at petabyte scale, from streaming and batch replication between origins to garbage collection over billions of objects. You’ll work across the stack, from local disk and page cache to distributed blob storage and garbage collection, and you’ll help shape what storage becomes next as we push storage closer to workloads.
WHAT YOU’LL WORK ON:
- Build P2P sharing of data across workers within a single datacenter to dramatically reduce ingress
- Replicate data across multiple blob storage providers
- Automate garbage collection across hundreds of petabytes of data
- Deploy colocated storage clusters to datacenters to accelerate high-throughput customer workloads
YOU MAY BE A FIT IF:
- You have 5+ years of experience writing high-quality production code
- You’ve built high-performance distributed storage or caching systems at a large scale (the more challenges you’ve worked through, the better)
- You have strong cloud skills, including deep familiarity with object storage (S3 or similar), CDNs, and their consistency, throughput, and cost characteristics
- You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, page cache, containers, etc.)
- You’re willing to step into the thick of it with our on-call rotation and respond to production incidents
NICE-TO-HAVE:
- Experience with replication, content addressing, and consistency models in multi-region or multi-cloud systems
- Experience operating storage systems at scale (petabyte-scale datasets, high-throughput read/write paths, large-scale garbage collection or data migration)
- Experience with data engineering at petabyte scale
- Prior experience with Rust
Location: New York
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
Modal considers high-quality documentation to be essential for developer experience, and we see docs becoming even more important as agents increasingly deploy and operate Modal Apps. We are looking for a content-minded engineer who will partner with our product teams to curate Modal’s technical documentation and maintain a high quality bar across multiple dimensions.
WHAT YOU'LL WORK ON:
- Think holistically about content architecture and how the docs should evolve as Modal introduces new products and features
- Innovate on novel documentation formats and delivery channels to optimize agent productivity, in collaboration with our Agent DX research team
- Develop content standards, style guides, and automated enforcement mechanisms to ensure consistent style and high quality
- Build and maintain automated pipelines that enforce the correctness of code examples and prose descriptions
- Collaborate with engineers across the company to author documentation that is clear, consistent, and correct
YOU MAY BE A FIT IF:
- You have 3+ years of experience in an engineering, product, or developer relations role, ideally in the devtools or infrastructure space
- You’ve authored or edited high-quality technical content for developers
- You’re knowledgeable about agentic engineering workflows and best practices
- You’re comfortable with modern software development practices (version control, CI/CD, testing)
Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States
Location:
Indianapolis, IN Metro (Hybrid / 3-Day Onsite)
(Open to Regional/EST Candidates with Onsite Travel)
Contract Type:
Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7)
About Xenon7
Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth.
Job Summary
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering.
In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise.
Key Responsibilities
Production MLOps & Systems Architecture
Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring.
Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments.
Process Engineering & Manufacturing ML Integration
Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems.
Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases.
Scalable Inference & System Integration
Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications.
Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow).
Technical Leadership & Domain Alignment
Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions.
Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle.
Requirements
Experience & Mindset
Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling.
Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications).
Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area.
Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams.
Must-Have Technical Stack
Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn.
MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime.
Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure).
Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines.
Domain Competency (Scientific & Process Focus)
Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization).
Nice-to-Haves & Certifications
Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline.
Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors.
Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials.
What This Role Is NOT
Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code.
Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution.
Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.
Задачи:
— Обеспечение надежности, масштабируемости и производительности распределенной инфраструктуры ZK-сопроцессоров.
— Управление парком блокчейн-нод (RPC, Validators) и специализированных Prover-нод в мультичейн среде.
— Автоматизация процессов развертывания и управления инфраструктурой (IaC) с использованием Terraform / Pulumi.
— Глубокий мониторинг и алертинг (Prometheus, Grafana, VictoriaMetrics) с фокусом на специфические метрики блокчейна и прувинга.
— Оптимизация производительности систем (Performance Tuning) и работа над минимизацией сетевых задержек (low-latency).
— Управление инцидентами, проведение Post-mortem анализа и разработка мер по предотвращению повторных сбоев.
— Внедрение и развитие практик GitOps и CI/CD пайплайнов для инфраструктурных и прикладных сервисов.
Требования:
— Опыт работы в роли SRE или DevOps Engineer от 4-5 лет.
— Экспертное владение Kubernetes (управление кластерами, написание Helm чартов / Operator SDK).
— Глубокие знания Linux internals, сетевых протоколов и безопасности.
— Опыт работы с облачными провайдерами (AWS — основной, GCP/Azure).
— Уверенное владение Python или Go для написания инструментов автоматизации.
— Практический опыт работы с инструментами IaC (Terraform).
— Английский язык: Upper-Intermediate (свободная коммуникация в международной команде).
Будет плюсом:
— Опыт эксплуатации блокчейн-инфраструктуры (Ethereum, L2s, Solana).
— Понимание специфики работы ZK-Rollups или систем с интенсивными вычислениями (GPU/FPGA acceleration).
— Опыт работы с инструментами распределенной трассировки (Jaeger / Tempo).
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
About the team
Engineering the future of customer support — at global scale
🌍
We believe exceptional customer service is more than just a feature, it’s a fundamental part of who we are. That’s why we’ve built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction.
As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we’re developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them.
Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we’re ensuring that our users and partners receive world-class support at scale.
About the role
We’re now looking for a
Backend Engineer (Golang)
to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You’ll work on impactful products that directly influence how millions of people experience our platform every day.
What you'll be doing
Build and maintain high-throughput backend services using
Go
.
Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe.
Design systems that are
scalable
,
resilient
, and easy to maintain.
Contribute to architectural discussions and technical decision-making.
Write well-tested code and help the team maintain high code quality standards.
Requirements
3+ years
of professional software engineering experience, with a proven track record of building and scaling complex systems.
Production experience in
Golang
, with an interest in developing strong engineering practices.
Strong hands-on experience with both
SQL and NoSQL databases
— especially Cassandra.
Solid understanding of designing and operating
low-latency, high-throughput distributed systems
.
Previous
on-call experience
, with a pragmatic approach to reliability and incident management.
Nice to have
Background in
Node.js
or other backend languages.
Familiarity with
cloud infrastructure
(AWS, GCP) and event-driven architectures.
Why Deliveroo
Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it.
We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.
Workplace & Benefits
At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.
Diversity
At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.
We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Задачи:
— исследовать и разрабатывать торговые стратегии для DeFi и крипторынков: от гипотезы и анализа данных до бэктестинга, валидации и оценки результата стратегии
— Quant/ML research и разработка торговых стратегий для DeFi и крипторынков
— применять ML/DL-подходы для маркет-мейкинга, forecasting, управления позициями и смежных задач
— разрабатывать стратегии дельта-нейтрального хеджирования и управления рисками
— проводить бэктестинг и использовать симуляционные среды на крипто-данных: order book, trades
— анализировать рыночные данные и улучшать алгоритмы по результатам реального исполнения
Требования:
— senior-уровень в Quant/ML research, systematic trading, HFT/prop trading, market microstructure или смежных задачах
— участие в полном цикле ресерча: гипотеза > данные > модель/логика > бэктестинг > валидация и анализ результата
— понимание временных рядов, OOS-проверки, future leakage и торговой экономики
— знание Supervised Learning, статистического анализа, оптимизации моделей
— уверенный Python; PyTorch, Scikit-Learn, CatBoost, XGBoost, Optuna
— опыт доведения стратегий до реального исполнения или PnL-оценки
— опыт работы с order book и trades
— автономность в постановке гипотез и доведении их до результата
— владение русским языком для общения в команде
Будет плюсом:
— Reinforcement Learning
— опыт на Rust или low-latency engineering
— опыт в трейдинге, маркет-мейкинге, low-latency крипте
— опыт в квант-фондах, HFT, prop trading, банковских квант-командах
— опыт с DeFi, DEX/CEX, AMM/LP, perpetuals, funding, cross-venue arbitrage
— активное использование AI-инструментов
Условия:
— фиксированная зарплата в стейблкоинах (USDT/USDC, 1:1 к доллару)
— квартальный profit sharing от результатов стратегий
— оплачиваемый отпуск
— компания оплачивает AI-подписки
Location: Remote - United States
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
We're looking for a Staff level Engineer to lead the design and development of a next-generation Data Platform at Vercel. This is a unique opportunity to architect a foundational system that will power data across our products and business, supporting everything from real-time analytics to AI/ML initiatives.
Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for our data ecosystem, work across the organization to align engineering strategy with product goals, and build scalable, reliable systems using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake.
You'll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows. If you're excited by the challenge of building scalable data systems that drive product innovation, we'd love to hear from you.
What you'll do
Design and implement a next-generation data platform that supports diverse requirements, including batch and real-time integrations, advanced analytics, and multiple data types, leveraging Kafka, Kafka-based tooling, and additional streaming technologies to power real-time data movement and processing.
Work with engineering, product, and senior leadership teams across Vercel to architect solutions that address business needs, aligning technical strategies with product goals and ensuring seamless data availability and usability.
Define and maintain guidelines for data ingestion, creation, enrichment, and storage, while overseeing data modeling, ETL processes, and data warehousing (ClickHouse, Tinybird, Snowflake) to achieve low-latency analytics and scalable storage.
Develop end-to-end solutions across the tech stack, setting the example for engineering excellence, and provide mentorship and direction that fosters continuous improvement and innovation in the team.
Partner with Security, Compliance, and Legal teams to ensure adherence to data protection standards, and champion high availability and fault tolerance through comprehensive monitoring, alerting, and incident response practices.
Drive architectural decisions and roadmap planning that ensure efficiency, scalability, and high performance, and evaluate build-vs-buy trade-offs, integrating vendor solutions where appropriate.
Collaborate with data scientists and machine learning teams to evolve infrastructure that supports advanced analytics and AI initiatives, serving as a key contributor to strategy, tooling, and platform enhancements for ML-related workloads.
Act as a key decision-maker for discovering, vetting, and selecting data architectures and technologies critical to Vercel's success, and establish multi-phase strategic roadmaps that align with overall business objectives and drive data platform maturity.
What you need
8+ years of experience in data engineering, data architecture, or related roles, with at least 5 years at the Principal Engineer level.
Proven track record designing and operating large-scale data infrastructures at high scale in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks.
Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services.
Strong background in data governance and security, and adept at ensuring compliance with regulatory standards and protecting sensitive information.
Outstanding communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across varying organizational levels.
A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices across the organization.
A Master's degree in Computer Science, Engineering, or a related field is preferred.
Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus.
Compensation & Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $232,000 - $348,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: San Francisco; New York
Workplace: Remote
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
ABOUT THE ROLE:
We're hiring the first Account Managers at Modal. You'll report to the Regional Director of Account Management and be a founding member of the team.
This function does not exist yet. There is no playbook, no territory map, no established motion. You'll own a book of business from day one and build the motion at the same time — from fast-moving AI startups to large enterprise teams running critical infrastructure on Modal.
This is a commercial role with a revenue target. You'll be measured on retention and expansion across your accounts. While you won't be delivering the technical recommendations and implementation, the work is technical by nature. Our customers are engineers running GPU workloads, inference, and batch jobs in production, and you need to hold your own in those conversations.
The profile we're hiring is a technical account manager. You've worked at companies that are deeply technical and consumption in nature. You bring the commercial instincts to grow revenue from an existing base and enough technical depth to know which conversation actually matters. And you can credibly work with a CxO all the way down to a Developer.
WHAT THE ROLE IS:
- A founding seat. You're helping build the AM function with us, not joining one that already runs. The account plans, expansion motions, and customer cadence you and the rest of the founding team figure out are what we scale to every AM we hire after you.
- A technical customer-facing role. You'll work directly with Developers and ML teams on what they're building and how Modal fits. You translate and triage the deeper technical work to FDEs and Product when it's needed.
- A book of business. You’ll own a set of accounts and be responsible for the revenue that comes from them. Expect to be meeting with customers in your first few days because the best playbooks are built from real experiences.
WHAT THE ROLE IS NOT:
- A traditional post-sales role. You're measured on revenue, not health scores.
- An on-call support function. You're not fixing bugs or triaging tickets. You're driving growth.
- A technical delivery role. You're not implementing for the customer. You know where the technical work goes and you pull in the right people.
- An inherited motion. Nothing is handed to you. If you identify gaps in process, tooling, or a playbook — you help build it.
- A single-lane job. Our priorities go customer → company → team → me. We focus on delivering maximum impact vs. "this is my job".
WHAT YOU'LL ACHIEVE:
- Build Modal's account management function and iterate on it as we scale the business
- Own and deliver on a revenue target across your book of accounts
- Grow an account's first use case, expand into a second, and drive standardization across the Modal platform
- Get fluent enough in Modal to hold your own with engineering teams on their workloads, and know when to pull in FDEs, Support, or Product
- Work with Sales, Solutions Architects, FDEs, Support, and Product to grow accounts and feed customer signal back into the roadmap
- Travel to customers as needed to support key accounts and drive expansion opportunities
WHAT YOU'LL NEED TO BRING:
- Customer-facing experience. You've owned a revenue target or supported a revenue target in a highly technical, consumption business.
- Technical depth. You work autonomously with Developers through CxOs and understand the core parts of the developer tech stack.
- AI builder. You're hands on building with AI tools — not just consuming workflows that were built for you.
- Ownership. You run your book of business and projects like you're the CEO of it. You're highly organized bringing stability, predictability, and pace to your work. You take action vs. waiting for direction.
- Learning velocity. You operate with the mindset of what I can do today vs. let me pick this up tomorrow. You move fast, take the learnings, and iterate on it.
- Cross-functional partner. Low ego, easy to work with, and highly accountable. You ask for feedback, you act on it, and you'd rather be corrected early than right late. Internal teams love working with you.
NICE-TO-HAVE:
- Experience as a Technical Account Manager, Solutions Engineer, Solutions Consultant, or similar type role
- Certification as an engineer (ex. Computer Science Degree, Professional Bootcamps)
- Early GTM hire experience at a fast-growing startup
- You've sat close to GPU spend, model training, or inference workloads
Location: San Francisco
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
THE ROLE:
Modal's LLM inference platform delivers frontier performance https://modal.com/blog/kimi-k3-by-moonshot-now-available-on-modal for open-source models with best-in-class elasticity and developer experience, made in part possible by our custom runtime with GPU memory snapshots https://modal.com/blog/gpu-mem-snapshots and multi-cloud substrate https://modal.com/blog/resource-solver.
We're looking for a leader to own the direction and execution of this platform to continue to establish us as the clear market leader, working closely with customers like Cognition, Doordash, Ramp, and many more. You'll be leading a group of highly talented engineers working on our market-leading LLM inference offering, spanning the serving stack, routing infrastructure, internal agentic optimization platform, and the user-facing product surface area.
This is a hands-on leadership role — expect to split your time between technical contribution, product shaping and people management depending on what the team needs. You'll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, frontier inference serving, and performance optimization.
WHAT YOU'LL WORK ON:
Team
- Recruit, hire, and grow a high-performing team of engineers; run regular 1:1s focused on coaching, feedback, and career growth
- Set clear performance expectations, hold a high bar, and build an environment where engineers do their best work
- Foster a culture of ownership, accountability, customer obsession, and continuous improvement
Technical and Product Direction
- Drive technical and product decisions through design reviews, code reviews, and architectural discussions
- Lead our efforts working with customers with novel or frontier workloads so they can be successful running on Modal
- Translate learnings from frontier customers into a roadmap for our internal optimization platform and user-facing product, so that gains from optimization and research efforts are accessible to all of our users
- Establish standards for reliability and product excellence; ensure the team owns projects end-to-end, from spec through production
Cross-Functional Leadership
- Partner with business operations and compute strategy on continuing to develop our strategy for compute purchases across a variety of accelerators
- Collaborate with GTM on product launches, positioning, and improving win rates for inference opportunities
- Help guide the roadmap for teams building the infrastructure platform underlying inference, as well as adjacent product teams
YOU MAY BE A FIT IF:
- You have 10+ years of industry experience, including 3+ years in a leadership role
- You have a track record of building high-performance systems at scale
- You have a strong background in cloud infrastructure
- You have deep knowledge of low-level OS foundations (Linux kernel, file systems, containers, etc.)
NICE-TO-HAVE:
- Experience working with LLM inference in production
- Familiarity with underlying concepts like engines, kernels, routing, KV cache management, and speculative decoding
Location: Amsterdam; Berlin
Workplace: Hybrid
ABOUT MOTHERDUCK
Don’t let the quirky name fool you: At MotherDuck, we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans.
WHAT YOU WILL DO
The Database team is the bridge between DuckDB and the cloud. We own the core server and client extension logic that lets DuckDB run seamlessly, whether it's local or in the cloud, and we work in C++ right alongside the DuckDB codebase itself. Our mission is to push the boundaries of embedded database performance, distributed execution, and user experience, all while staying closely connected to DuckDB Labs (the team behind DuckDB) to align on APIs and shape what's next.
Day to day, we drive major projects in dual execution, resource assignment, and system reliability, while also handling incoming issues and lending our DuckDB expertise to other teams. We collaborate closely across MotherDuck and with the wider DuckDB community, making sure people get the best of both local and cloud worlds. It's a small, high-agency team with big ambitions... the kind of place where engineers own impactful projects, share what they learn, and help shape how modern analytics gets built.
This role is ideally based in Amsterdam or Berlin, but we are also open to great candidates remotely in Europe.
Key Responsibilities:
- Own major projects in our dual execution stack, so DuckDB can process queries seamlessly whether they're running locally or in the cloud.
- Help build a cloud platform that dynamically assigns resources, so DuckDB stays efficient whether someone's running a tiny workload or pushing our biggest, highest-memory instances.
- Lead cross-functional work with our frontend, platform, and infrastructure teams to keep the user experience coherent end to end.
- Push the state of the art in embedded database performance, distributed execution, and DuckDB internals.
- Deepen your DuckDB expertise and share it with the rest of the company through mentorship and documentation.
- Work directly with our support team to debug issues, learn from real usage patterns, and prioritize the improvements that matter most.
- Improve systems holistically... spotting architectural challenges early and clearing bottlenecks before they become problems.
- Mentor teammates and help raise the bar for engineering practices across the team.
- Work closely with DuckDB Labs (which grew out of the Database Architectures group at CWI, where vectorized execution and DuckDB were born) to help align on APIs and shape where DuckDB goes next.
WHAT YOU BRING
- You've built and shipped complex backend systems, and you know what great looks like.
- You're fluent in a backend language like C++, Rust, Java, or similar systems languages, and you're comfortable working close to the metal. (C++ and Rust are the biggest plus here, and we love a great Java engineer too.)
- A good foundation in query engines, execution plans, indexing, and performance optimization techniques.
- Hands-on experience with DuckDB is a huge plus, no matter what level you're coming in at.
- You've worked with cloud infrastructure, networking, and building low-latency distributed systems.
- You can scope and lead projects that span multiple collaborators and cross-functional dependencies.
- You take pride in clear thinking, careful design, and thoughtful tradeoffs.
- You're comfortable mentoring peers and helping build a collaborative, high-agency environment.
- You enjoy engaging with the wider community, whether that's open-source conversations or working directly with DuckDB Labs.
WHAT WE PROVIDE
- The opportunity to participate and contribute to DuckDB, one of most popular modern open source analytical databases.
- Competitive salary and stock options so you have a stake in our flock’s success.
- Flexible time off – take the time you need to recharge, explore, or just have a lazy day by the pond.
- A good pension plan
- Legendary company events – we bring the whole flock together once a year for unforgettable summits in fun locations, plus 1-2 team gatherings a year to keep our bonds strong.
- Hybrid work environment – Spend three days a week in the office collaborating with the flock, and work from wherever you’re most productive the rest of the time—whether that’s your home office, a coffee shop, or a peaceful lakeside retreat. We have to warn you though, most of us like the office so much we come anyway. It’s on the river Ij, with a great lunch every day.
PLEASE APPLY
Does this role sound appealing to you, but you’re missing some of the requirements or don’t quite think you’re qualified? Please apply anyway. Research has shown that underrepresented groups in technology often shy away from roles which aren’t a 100% match. We aim to build a diverse team and will strongly consider applicants who bring many of the requirements plus have other experiences which round out their qualifications.
MotherDuck is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. MotherDuck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.
Westernpips — разработчик программных решений для профессионального трейдинга, алгоритмической торговли и low-latency технологий. Компания работает с 2007 года.
Мы ищем Social Media & Community Manager, который возьмет на себя развитие присутствия Westernpips в социальных сетях и профессиональных сообществах.
Основные задачи:
• Ведение социальных сетей и каналов Westernpips: Telegram, YouTube, LinkedIn, X (Twitter), Facebook, Instagram и других площадок.
• Подготовка и публикация постов на английском языке: новости компании, обновления программного обеспечения, новые продукты, технические материалы и другой контент.
• Создание и ведение контент-плана.
• Поиск новых способов привлечения целевой аудитории и органического роста количества подписчиков.
• Поиск тематических сообществ, каналов, групп и площадок, связанных с algorithmic trading, Forex, HFT, FinTech и crypto.
• Работа с аудиторией: комментарии, вопросы, обсуждения и развитие сообщества вокруг продуктов Westernpips.
• Поиск возможностей для партнерских публикаций, упоминаний и коллабораций.
• Анализ активности конкурентов и трендов в социальных сетях.
• Анализ результатов публикаций: охваты, вовлеченность, рост аудитории и переходы на сайт.
Чего мы ожидаем:
• Опыт ведения социальных сетей коммерческих проектов.
• Умение самостоятельно писать качественные посты.
• Хороший письменный английский язык.
• Понимание принципов продвижения и органического роста социальных сетей.
• Умение находить целевую аудиторию, а не просто публиковать подготовленный контент.
• Опыт работы с FinTech, Forex, Trading, Crypto, SaaS или другими технологическими продуктами будет большим преимуществом.
• Умение работать самостоятельно и предлагать новые идеи по продвижению.
Мы предлагаем:
• Удаленную работу.
• Работу с международной аудиторией.
• Технологический продукт в сфере algorithmic trading и low-latency trading.
• Возможность самостоятельно влиять на стратегию развития социальных сетей компании.
• Долгосрочное сотрудничество.
При отклике, пожалуйста, приложите примеры социальных сетей или проектов, которые вы ранее вели. Особенно интересны примеры, где вы можете показать рост аудитории, охватов или вовлеченности
Location: New York
Workplace: OnSite
ABOUT US:
AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation.
Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
ABOUT MODAL TALENT:
Modal is growing fast, and the programs that bring people in and set them up to succeed are still being built. You’ll join the Talent team as one of its first hires focused on early-career hiring, working closely with recruiting and leadership to build the internship and campus presence that shape how the best people discover and experience Modal for the first time.
THE ROLE:
As Emerging Talent Recruiter, you will own Modal’s intern program and run full-cycle recruiting for our early-career and internship roles. This is a build-from-the-ground-up role for someone who wants full ownership rather than an existing playbook to execute. You’ll find talent before everyone else does, partner directly with hiring managers to close it, and make sure candidates’ and interns’ first experience of Modal is a great one. Where it makes sense, you’ll also own our career fair presence and talent events, and make sure every program ladders up to real hiring outcomes.
WHAT YOU’LL WORK ON:
- Own full-cycle recruiting for Modal’s emerging talent roles, from sourcing through offer and close
- Partner with hiring managers across Engineering and other teams to define hiring needs, align on candidate profiles, and calibrate on early-career talent
- Identify and engage high-potential candidates through universities, student communities, technical networks, referrals, events, and other emerging-talent channels
- Design and run the intern program end to end: recruiting timeline, project scoping with hiring managers, mentorship matching, and conversion to full-time
- Lead offer and closing conversations, building strong candidate relationships and helping exceptional people understand the opportunity to build their careers at Modal
- Represent Modal at career fairs and campus events, and recruit and prep employee brand ambassadors to join you
- Build and maintain relationships with university programs, bootcamps, and community organizations that feed our pipeline
- Plan and run talent events (meetups, recruiting mixers, tech talks), managing budgets and vendors along the way
- Track and report on pipeline health and program metrics: event pipeline conversion, intern conversion rate, and cost per hire from programs
- Create a candidate experience that is thoughtful, transparent, and high-touch at every stage
- Experiment with new ways to find, engage, and hire great talent early, and turn what works into repeatable practices
YOU MAY BE A FIT IF:
- You have 2+ years of full-cycle recruiting experience, with a track record of identifying and engaging exceptional talent and strong instincts for candidate quality
- You’ve run recruiting or talent programs, events, or university relations, ideally owning a program end to end, including budget and vendors
- You learn new talent markets quickly, calibrate to a high hiring bar, and can recruit across different roles and functions
- You’re a strong project manager: you juggle multiple pipelines, events, and timelines without dropping details or sacrificing candidate quality
- You’re high influence, low ego: you build relationships easily across recruiting, hiring managers, and marketing, and share credit freely
- You communicate well, in writing and in person, and you’re comfortable representing Modal externally
- You take ownership seriously: you drive programs to completion and build structures that let them scale
- You have an experimental mindset and like trying new approaches
- You’re based in or willing to relocate to NYC, in-office
Location: Romania; Brazil; Peru; Sweden; Colombia; Argentina; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
Our Platform and Core Engineering teams build the systems that make Kraken secure, resilient, and scalable. Their impact isn’t measured by customer-facing features, but by the strength, correctness, and leverage of the foundations they create. These teams power Kraken systems behind the scenes — enabling product teams to move fast while meeting the highest standards for reliability, compliance, and security.
Engineers design shared services, internal platforms, and critical infrastructure that support company-wide initiatives. They optimize for safety, scalability, observability, auditability, and operational excellence — often operating in regulated, security-sensitive, and risk-heavy environments where precision matters.
We’re looking for engineers with deep systems ownership and an architecture-first mindset — builders who take pride in long-lived services, thrive in complex environments, and are motivated by strengthening the backbone of the crypto ecosystem.
THE OPPORTUNITY
- Design and implement robust Rust services and foundational libraries that power Kraken’s core infrastructure, prioritizing correctness, security, and long-term maintainability.
- Write reusable, testable, and highly efficient code built for scale, observability, and operational resilience in production environments.
- Collaborate on large-scale distributed systems architecture, shaping low-latency, fault-tolerant services that support global trading and internal platforms.
- Work alongside hundreds of experienced Rust engineers, contributing to a high-bar engineering culture grounded in ownership, rigor, and craftsmanship.
WHAT YOU BRING
- 7+ years of software engineering experience
- Experience building and scaling shared systems, internal platforms, and supporting multiple product roadmaps
- Proficient in writing network services or asynchronous code in Rust
- Have a security-first mindset during system design to ensure robustness
- Demonstrate the ability to autonomously debug issues across the stack (OS, network, application)
- Apply a solid understanding of distributed systems and technologies, including RPC protocols, Kafka, and Event-Driven Systems, to design scalable solutions
- Collaborate effectively with product teams to gather requirements and constraints for designing appropriate systems
- Take complete end-to-end ownership of systems and libraries
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Czechia; Ukraine; Hungary
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
ClickUp is on the lookout for talented backend engineers to join the Fields squad at ClickUp! Fields is the heart and soul behind our custom task data - think dynamic schemas, high-volume updates, and the flexibility that lets users tailor ClickUp to their individual workflows. We’re building scalable, high-throughput, low-latency services that handle millions of requests daily. If wrangling distributed systems, fine-tuning performance, and designing robust APIs sounds like your idea of fun, let’s chat.
Role:
- Build features and systems with attention to detail and performance.
- Own end-to-end development, from conception to production.
- Work closely with cross-functional stakeholders to deliver a world-class product.
- Identify and implement improvements to our existing systems.
- Help establish a fun, fulfilling, world-class engineering culture.
Qualifications:
- Bachelor’s degree in Computer Science or equivalent major.
- 5+ years of experience engineering performant and high-throughput systems (ideally on Node.js).
- You write high quality code (ideally in TypeScript) and are uniquely productive.
- You have a track record of building performant, high-throughput systems.
- You have experience writing and debugging sql queries at scale.
- You have experience developing event based systems.
- You have experience with major cloud services (ideally AWS).
- You are an empathetic communicator.
- You are comfortable with ambiguity and have consistently delivered projects with little direction.
- You are product-minded and have a good intuition on what a great user experience looks like.
#LI-REMOTE
#LI-MAV
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Задачи:
— Ability to build libraries and frameworks of reusable efficient code.
— Competence in designing and implementing low-latency, stable and performing applications.
— Capacity to effectively collaborate with other team members and stakeholders remotely.
— Ability to implement data protection systems.
— Competence in data storage solutions.
Требования:
— 5+ years of experience building products with Python and Django.
— High proficiency in SQL with experience using databases like PostgreSQL.
— Experience scaling cloud infrastructures with Docker or Kubernetes is a plus.
— Experience managing cloud infrastructures, specifically AWS or GCP.
— You follow the best practices and conventions.
— Relevant experience in CI/CD and related tools.
— Ability to work with minimal supervision.
— Intermediate-advanced English level.
— You can communicate well with both technical and non-technical clients.
— Time zone: CET (+/- 3 hours). We are unable to consider applications from candidates in other time zones.
Условия:
— Get paid, not played: on-time monthly payments with flexible withdrawal options.
— Predictable project hours: consistent 8-hour working days with clients.
— Flex days: up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.
— Career-accelerating positions at cutting-edge companies.
— Hand-picked opportunities just for you.
— One seamless process, multiple opportunities.
— Compensation: same pay every month with positions landed through Proxify.
We are looking for a Senior Fullstack Developer skilled in React.js and Node.js for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.
What we are looking for:
— 5+ years experience as a Fullstack Developer.
— Backend experience with Node.js and Microservices architecture.
— Database experience with SQL and MongoDB.
— Intermediate-advanced English.
Nice-to-have:
— Located in CET timezone (+/- 3 hours).
— Database Architecture knowledge.
Responsibilities:
— Ability to build libraries and frameworks of reusable efficient code.
— Competence in designing and implementing low-latency, stable and performing applications.
— Capacity to effectively collaborate with other team members and stakeholders remotely.
— Ability to implement data protection systems.
— Competence in data storage solutions.
What we offer:
— On-time monthly payments with flexible withdrawal options.
— Consistent 8-hour working days with clients.
— Up to 24 flex days off per year without losing pay for full-time positions.
— Exclusive long-term remote positions at cutting-edge companies.
— Personally matched positions avoiding typical recruitment roadblocks.
— One-time contracting process for multiple opportunities.
— Consistent monthly compensation for positions landed through Proxify.
seniorIndianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
УдалённоRemote - United States
УдалённоSan Francisco; New York
ОфисleadSan Francisco
ГибридAmsterdam; Berlin
ОфисNew York
УдалённоseniorRomania; Brazil; Peru; Sweden; Colombia; Argentina; Cyprus; South Africa; Czech Republic; Hungary; Mexico; Chile; Poland; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоseniorCzechia; Ukraine; Hungary; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
География найма не уточнена
Все вакансии в одном месте - страница 5 · Job Hunters
