Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking a detail-oriented and experienced
Senior
Construction Project Manager
to lead the buildout and operational readiness of our cutting-edge data centers. In this role, you will oversee construction from design review through commissioning and handover, ensuring compliance with regulatory standards and performance expectations. You’ll collaborate closely with architects, contractors, and regulatory authorities while managing budgets, timelines, and vendor relationships. This position requires deep knowledge of data center infrastructure, exceptional project management skills, and a proactive mindset to drive operational excellence from the ground up.
This remote position will require travel between Data Centers.
Your responsibilities will include:
Construction & Project Management:
Oversee all phases of data center construction, from design review to commissioning and handover.
Collaborate with architects, MEP consultants, contractors, and vendors to ensure project specifications and timelines are met.
Review design drawings and technical submittals for compliance with company standards and operational requirements.
Manage change control, progress tracking, and budget adherence throughout the project lifecycle.
Participate in Factory Acceptance Tests (FAT) and Site Acceptance Tests (SAT) for key systems such as UPS, chillers, generators, and switchgear.
Coordination with Authorities & Compliance
Serve as the primary liaison with local authorities, utilities, and regulatory bodies.
Ensure all permits, licenses, and inspections (e.g., building, fire, electrical, environmental) are completed on schedule.
Maintain compliance with local codes, safety standards, and data center industry best practices (e.g., ISO, Uptime Institute, TIA-942).
Manage documentation and reporting for occupancy certification and operational approvals.
Operations Readiness & Handover
Lead commissioning activities, ensuring all systems (electrical, mechanical, BMS, security, etc.) are fully tested and validated.
Develop and implement standard operating procedures (SOPs) and emergency operating procedures (EOPs) for facility systems.
Train operations teams on site-specific systems, monitoring tools, and safety practices.
Ensure smooth transition from construction to operations with full documentation and warranty records.
Facility Management & Performance
After commissioning, oversee daily facility operations, preventive maintenance, and vendor management.
Monitor and optimize Power Usage Effectiveness (PUE) and energy efficiency.
Implement sustainability and reliability improvements, including capacity planning and infrastructure upgrades.
Ensure adherence to health, safety, and environmental (HSE) standards across all facility operations.
What we expect you to have:
Bachelor's degree in Construction Management, Engineering, or a related field, or equivalent experience
5+ years of experience in construction project management, with a focus on data center or colocation infrastructure either for a general contractor, colocation provider, or hyperscaler.
Proven track record of successfully managing large-scale construction projects.
Strong understanding of construction processes, quality control, and design coordination.
Excellent communication, leadership, and problem-solving skills.
Ability to work effectively with diverse teams and stakeholders.
Key employee benefits:
Health insurance:
100% company-paid medical, dental and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave
: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance:
Company-paid short-term, long-term and life insurance coverage.
Compensation
We offer competitive salaries ranging from $115K to $275K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$115,000
—
$275,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.
WHAT YOU’LL DO
- Full stack development, building models to consume, transform, and expose data to stakeholders and production systems
- Drive a culture of experimental design, testing agenda, and best practices
- Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
- Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
- Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action
WHAT YOU NEED
- Minimum of 4 years of industry experience as a Data Scientist
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
- Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
- Track record of shipping high quality products and features at scale
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
NICE-TO-HAVES
- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
- Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
- Experience within the payments and financial technology space
- Familiarity with B2B enterprise sales cycle metrics and processes
ABOUT OUR TEAMS
- Product Data | Ramp’s Product Data team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design.
- Risk & Capital Markets Data | Ramp’s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.
- Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Alabama; Huntsville
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
As a Full Stack Software Engineer working on the D&D team you will help design and build the clients and services that will power the next generation of D&D’s best-in-class digital Dungeon Master tools.
This will be a hybrid role located in Huntsville, AL or Renton, WA requiring three days a week in office.
What You'll Do:
Build services using the latest technologies including Node.js, C#, and AWS.
Build client solutions using the latest web technologies including React, TypeScript, CSS, and HTML5.
Write maintainable, high-quality features in a team-based development environment.
Engage in a shared code base through peer reviews and pull requests.
Write and maintain unit and integration tests.
Assist with improving code integration and deployment processes.
Participate in planning, daily stand-ups, and retrospectives.
Participate in on-call rotations and operational reviews
Adhere to and improve processes and coding standards.
Create and maintain project documentation.
What You'll Bring:
At least 2 years of experience as a software engineer building services using technologies like Node.js or .NET Core.
At least 2 years of industry experience using modern web development technologies like React, TypeScript, and CSS3.
Proven ability to deliver RESTful APIs using industry-standard practices with scalability and security in mind.
Experience working with both relational (e.g., SQL Server, MySQL, Postgres) and non-relational databases (e.g., DynamoDB, MongoDB).
Familiarity with building services in the cloud (e.g., AWS, Azure, etc.)
Excellent problem-solving skills and attention to detail. Ability to think outside of the box.
A curious attitude with an excitement to learn new things and contribute to all areas of the product.
Nice to Have:
Experience with Next.js, Node.js, C#.
Experience with AWS, Docker, Kubernetes.
Experience with React and TypeScript.
Knowledge of accessibility web standards (WAI-ARIA, WCAG).
Experience practicing test-driven development.
A passion for Dungeons & Dragons (D&D).
You enjoy healing party members in the midst of battle (but all new party members are welcome!)
#Wizards
The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
Pay Range
$127,300
—
$190,900 USD
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Computer Use team teaches Claude to see and operate computer interfaces, and builds the agent harness and end-user products that turn that capability into real tools. The team sits inside Anthropic's research organization and closes the loop between product and model.
As a Product Engineer on this team, you'll own end-to-end delivery of our computer-use and browser-control product surfaces. You'll build across the full stack, from the user interface to the agent runtime to the backend services behind it. You'll work directly alongside researchers, with no layers between you and the model or the user.
This is a dynamic role in which priorities evolve frequently. Success depends on a high tolerance for ambiguity, the adaptability to shift focus as needs change, and the agility and discernment to continuously prioritize the highest impact work.
Key responsibilities
Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate
Diagnose and resolve reliability and robustness issues in the computer-use agent harness that block real-world usage
Partner with computer-use researchers
Partner with the Claude Cowork team on shared surfaces, integrations, and knowledge-worker workflows
Instrument products and use usage data to drive prioritization and measure progress
Translate fuzzy user pain points into concrete, shippable features for knowledge workers
Minimum qualifications
Experience building and shipping a product from zero to one with end-to-end ownership, as a founding or early engineer at a startup or with equivalent ownership inside a larger company
Strong full-stack engineering skills, including production web frontend and backend development
Hands-on experience building with LLM APIs, prompting, or agent frameworks
A track record of shipping to external users and iterating based on their feedback
Preferred qualifications
Strong product design instincts and the ability to produce a clean, usable interface without a dedicated designer
Experience with browser automation, desktop automation, or robotic process automation systems
Experience building evals or quality harnesses for machine learning systems
Comfort with lightweight data analysis, such as SQL, notebooks, and defining and tracking product metrics
Experience designing agent loops, tool integrations, or guardrails for LLM-based systems
Representative projects
Own and resolve the top reliability and robustness issues on the computer-control and browser-control product surfaces, with measurable improvement in task success rate
Take a net-new computer-use powered workflow from concept to external users, including instrumentation and a readout on usage
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York, NY
Workplace: OnSite
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
*Open to candidates based near our NYC office or those willing to relocate.
Building general world models — systems that understand and simulate reality across tasks, modalities, and domains — requires closing the loop between learned representations and real-world action. We're looking for a Robotics Engineer to bring our video-native foundation models onto real hardware: deploying world-model-based policies on real robots and making them work in the real world.
You will work across the full stack of robot learning — from data collection and task design, to policy deployment, to physical evaluation. This is a hands-on, execution-oriented role at the intersection of foundation models, learned robot policies, and hardware. You'll bring deep robotics domain expertise and help us ship world-model-based robot policies end-to-end, with applications ranging from manipulation to mobile robotics.
WHAT YOU’LL DO
- Own the deployment loop for learned policies (VLAs, diffusion policies, World Action Models) on real robot arms: inference serving, action decoding, controller integration, latency budgets, and safety limits
- Diagnose real-world policy failures — determining whether the problem is data coverage, camera/proprioception mismatch, or execution — and partner with the research team to fix it at the right layer
- Design demonstration data collection protocols (task setup, camera placement, teleop conventions) that produce data our world models can actually learn from — working with our existing teleop and lab infrastructure
- Partner with research to run controlled experiments connecting world model representations, data composition, and fine-tuning recipes to physical success rates
- Define and run physical evaluation protocols so results are trustworthy and comparable across policy iterations
- Adapt our policy recipe to partner hardware and new embodiments
WHAT YOU’LL NEED
- You have personally deployed software on real robot hardware and iterated to make it work — whether learned policies, motion planning, classical control, or perception-driven manipulation. You can walk through a specific system you shipped, what broke on the physical robot that didn't break in sim or testing, and how you fixed it.
- Fluency in the software-to-robot interface: action/command spaces, control frequencies, observation pipelines, calibration, and how each affects real-world behavior
- Comfort working at the intersection of software and physical systems: you can reconfigure a robot workspace and trace a policy failure in the same afternoon
- Bonus: direct experience deploying learned policies (VLAs, diffusion policies) on real hardware; experience with video/multimodal generative models or world models
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: APJ
About the Role
ClickHouse is launching a strategic Postgres initiative to extend our developer-first cloud platform, so teams can easily integrate Postgres with ClickHouse and power end-to-end data workflows.
We’re looking for a Senior Software Engineer to join the team building this platform. You’ll work across a range of areas — from control plane services and automation to operational tooling and developer experience. This is a flexible, full-stack systems role for an engineer who thrives in environments where boundaries are fluid, problems are complex, and impact is tangible.
WHAT YOU’LL DO
- Design and build backend services that orchestrate and manage database clusters in ClickHouse Cloud.
- Extend our platform control plane — written in Ruby, Go, and TypeScript — to support new Postgres capabilities.
- Contribute to PostgreSQL extensions and data plane agents, written in C, C++ or Rust
- Contribute to automation and tooling that simplify cluster provisioning, scaling, and lifecycle management.
- Collaborate with infrastructure, SRE, and product teams to ensure operational excellence, performance, and reliability.
- Develop APIs and integrations that expose new Postgres functionality to customers and internal systems.
- Improve observability, deployment safety, and debugging workflows for database services.
- Participate in design discussions, code reviews, and on-call rotations, contributing to the overall reliability and velocity of the team.
- Operate with autonomy — identifying opportunities, driving execution, and delivering meaningful impact.
ABOUT YOU
- Experience: 6+ years in software engineering, ideally with experience building or operating database or cloud platform systems.
- Postgres Expertise: Deep understanding of Postgres — configuration, extensions, operations, and performance tuning.
- Technical Skills:
- Strong programming experience in one or several of Ruby, Go, Rust, C or Python (and willingness to work across languages).
- Familiarity with cloud infrastructure, APIs, and automation tools (Terraform, Kubernetes, CI/CD).
- Understanding of distributed systems, data replication, and service orchestration patterns.
- Mindset: Pragmatic, detail-oriented, and comfortable with both greenfield development and operational ownership.
- Flexibility: Happy to contribute where needed — from backend APIs and platform automation to Postgres internals and debugging.
- Collaboration: Strong communicator who works effectively across teams in a fast-paced, cross-functional environment.
- Ownership: You operate with a founder’s mindset — take initiative, move quickly, and care deeply about outcomes.
WHY JOIN US
- Be part of a strategic new offering that expands the scope and impact of ClickHouse Cloud.
- Work with cutting-edge database and infrastructure technologies at scale.
- Operate with high autonomy in a small, focused team that values deep expertise and collaboration.
- Shape foundational systems for reliability, automation, and developer experience in managed database.
#LI-remote
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 team member who joins our company receives stock options.
- 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: APJ
About the Role
ClickHouse is launching a strategic Postgres initiative to extend our developer-first cloud platform, so teams can easily integrate Postgres with ClickHouse and power end-to-end data workflows.
We’re looking for a Senior Software Engineer to join the team building this platform. You’ll work across a range of areas — from control plane services and automation to operational tooling and developer experience. This is a flexible, full-stack systems role for an engineer who thrives in environments where boundaries are fluid, problems are complex, and impact is tangible.
WHAT YOU’LL DO
- Design and build backend services that orchestrate and manage database clusters in ClickHouse Cloud.
- Extend our platform control plane — written in Ruby, Go, and TypeScript — to support new Postgres capabilities.
- Contribute to PostgreSQL extensions and data plane agents, written in C, C++ or Rust
- Contribute to automation and tooling that simplify cluster provisioning, scaling, and lifecycle management.
- Collaborate with infrastructure, SRE, and product teams to ensure operational excellence, performance, and reliability.
- Develop APIs and integrations that expose new Postgres functionality to customers and internal systems.
- Improve observability, deployment safety, and debugging workflows for database services.
- Participate in design discussions, code reviews, and on-call rotations, contributing to the overall reliability and velocity of the team.
- Operate with autonomy — identifying opportunities, driving execution, and delivering meaningful impact.
ABOUT YOU
- Experience: 6+ years in software engineering, ideally with experience building or operating database or cloud platform systems.
- Postgres Expertise: Deep understanding of Postgres — configuration, extensions, operations, and performance tuning.
- Technical Skills:
- Strong programming experience in one or several of Ruby, Go, Rust, C or Python (and willingness to work across languages).
- Familiarity with cloud infrastructure, APIs, and automation tools (Terraform, Kubernetes, CI/CD).
- Understanding of distributed systems, data replication, and service orchestration patterns.
- Mindset: Pragmatic, detail-oriented, and comfortable with both greenfield development and operational ownership.
- Flexibility: Happy to contribute where needed — from backend APIs and platform automation to Postgres internals and debugging.
- Collaboration: Strong communicator who works effectively across teams in a fast-paced, cross-functional environment.
- Ownership: You operate with a founder’s mindset — take initiative, move quickly, and care deeply about outcomes.
WHY JOIN US
- Be part of a strategic new offering that expands the scope and impact of ClickHouse Cloud.
- Work with cutting-edge database and infrastructure technologies at scale.
- Operate with high autonomy in a small, focused team that values deep expertise and collaboration.
- Shape foundational systems for reliability, automation, and developer experience in managed database.
#LI-remote
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 team member who joins our company receives stock options.
- 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: APJ
About the Role
ClickHouse is launching a strategic Postgres initiative to extend our developer-first cloud platform, so teams can easily integrate Postgres with ClickHouse and power end-to-end data workflows.
We’re looking for a Senior Software Engineer to join the team building this platform. You’ll work across a range of areas — from control plane services and automation to operational tooling and developer experience. This is a flexible, full-stack systems role for an engineer who thrives in environments where boundaries are fluid, problems are complex, and impact is tangible.
WHAT YOU’LL DO
- Design and build backend services that orchestrate and manage database clusters in ClickHouse Cloud.
- Extend our platform control plane — written in Ruby, Go, and TypeScript — to support new Postgres capabilities.
- Contribute to PostgreSQL extensions and data plane agents, written in C, C++ or Rust
- Contribute to automation and tooling that simplify cluster provisioning, scaling, and lifecycle management.
- Collaborate with infrastructure, SRE, and product teams to ensure operational excellence, performance, and reliability.
- Develop APIs and integrations that expose new Postgres functionality to customers and internal systems.
- Improve observability, deployment safety, and debugging workflows for database services.
- Participate in design discussions, code reviews, and on-call rotations, contributing to the overall reliability and velocity of the team.
- Operate with autonomy — identifying opportunities, driving execution, and delivering meaningful impact.
ABOUT YOU
- Experience: 6+ years in software engineering, ideally with experience building or operating database or cloud platform systems.
- Postgres Expertise: Deep understanding of Postgres — configuration, extensions, operations, and performance tuning.
- Technical Skills:
- Strong programming experience in one or several of Ruby, Go, Rust, C or Python (and willingness to work across languages).
- Familiarity with cloud infrastructure, APIs, and automation tools (Terraform, Kubernetes, CI/CD).
- Understanding of distributed systems, data replication, and service orchestration patterns.
- Mindset: Pragmatic, detail-oriented, and comfortable with both greenfield development and operational ownership.
- Flexibility: Happy to contribute where needed — from backend APIs and platform automation to Postgres internals and debugging.
- Collaboration: Strong communicator who works effectively across teams in a fast-paced, cross-functional environment.
- Ownership: You operate with a founder’s mindset — take initiative, move quickly, and care deeply about outcomes.
WHY JOIN US
- Be part of a strategic new offering that expands the scope and impact of ClickHouse Cloud.
- Work with cutting-edge database and infrastructure technologies at scale.
- Operate with high autonomy in a small, focused team that values deep expertise and collaboration.
- Shape foundational systems for reliability, automation, and developer experience in managed database.
#LI-remote
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 team member who joins our company receives stock options.
- 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: The Netherlands
Workplace: Remote
ABOUT THE TEAM
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- Backend development experience in TypeScript or Python, with a focus on API design and service architecture
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
#LI-Remote
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 team member who joins our company receives stock options.
- 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: Germany
Workplace: Remote
ABOUT THE TEAM
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse’s AI/ML capabilities.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- Backend development experience in TypeScript or Python, with a focus on API design and service architecture
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
#LI-remote
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 team member who joins our company receives stock options.
- 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: South Africa
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
About the company
Our client is a results-driven growth marketing agency specializing in scaling high-performance e-commerce and DTC brands. With over 30 years of combined experience and more than $500M in managed revenue, the team serves as a full-stack partner for over 150 brands globally. They specialize in high-impact strategies across paid ads, email marketing, SMS, and conversion rate optimization (CRO). By leveraging AI marketing infrastructure and robust data analytics, they move beyond cookie-cutter solutions to deliver custom, profitable growth tailored to each brand’s unique customer lifecycle.
The team operates with a "no-fluff" mindset, prioritizing radical transparency, proactive communication, and measurable revenue boosts. Known for acting as a seamless extension of their clients' internal teams, they foster a collaborative and fast-paced work environment rooted in real-world operational expertise. This is an opportunity to join a scaling firm that values proactive problem-solving and technical innovation while maintaining a deep focus on design-led, performance-driven marketing results.
Job Summary
We are seeking a high-level, "athlete-mentality" SDR to join an elite growth agency with over 7 years of experience and $500M+ in managed revenue for e-commerce partners. This isn’t a role for someone looking to just "take a course"—we are looking for a hungry, competitive sales professional who thrives on outbound hunting. You will be responsible for sourcing and booking quality calls with high-revenue e-commerce brands, working directly alongside an established closing team. If you are driven by performance and eager to move into a Closer/Account Executive role, this is your path.
Job Type:
Full-time (8:00 AM – 4:00 PM MST)
Key Responsibilities
Execute high-volume multi-channel outreach including cold calling, cold email, and DMs.
Qualified lead generation focusing on e-commerce brands doing $100K+/month in revenue.
Manage and nurture the sales pipeline within GoHighLevel to ensure no lead falls through the cracks.
Maintain a consistent output of 5–10 qualified booked calls per week.
Achieve a 70%+ show rate through diligent follow-up and lead framing.
Collaborate with the internal team to refine messaging and targeting based on market data.
Requirements
2+ years of professional sales experience
with a proven track record of hitting KPIs.
Direct background in an agency or e-commerce environment
(Must have both).
High-level fluency in English with a professional, confident verbal tonality.
Relentless "hunter" mentality; you are competitive, resilient, and motivated by high-commission environments.
Proficiency in the modern outbound stack: Cold email (Instantly/Smartlead), CRM (GHL), and Lead Sourcing (Clay/Apollo).
Ability to work 8 AM – 4 PM MST (South Africa timezone preferred).
Nice-to-Haves
Experience selling high-ticket marketing services (Email/SMS, Paid Ads, or CRO).
Advanced skills in objection handling and personalized messaging at scale.
Previous experience in a senior-level appointment setting role.
Benefits
💰 Competitive base salary
📈 Uncapped 5% commission on all closed deals (First month revenue)
🚀 Clear progression pathway to Closer/Account Executive
🌎 Fully remote work environment
🎯 Performance-based incentives with OTE
🧠 High-growth culture with a focus on ownership and autonomy
Location: Oklahoma, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As a
Data Center Technician
, you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will include supporting the data center’s IT infrastructure by troubleshooting and resolving hardware issues, performing hardware and network diagnostics, carrying out physical repairs, and ensuring the smooth operation of critical systems. This is a shift-based role and may also require occasional travel between data center locations.
You will work
onsite
in our
Oklahoma
data center location.
Your responsibilities will include:
Diagnosing and resolving issues related to IT hardware and ensuring the continuous support of the data center's IT infrastructure across all compute, storage, and networking platforms.
Collaborating effectively with internal teams and external contractors to address technical and operational challenges across the data center floor.
Installing, upgrading, and decommissioning hardware based on operational requests, change requests, and project requirements.
Managing and maintaining the connectivity of fiber optic cables, copper patch cords, and structured cabling in accordance with Nebius standards and documentation.
Planning, executing, and monitoring regular IT tasks — including preventive maintenance, break/fix activities, and routine deployments — to maintain and improve data center infrastructure operations.
Supporting the Return Merchandise Authorization (RMA) process by assisting with hardware identification, fault documentation, and coordination with the DC Diagnostic & RMA team, in accordance with established Nebius procedures.
Developing and maintaining clear, accurate documentation including hardware configurations, troubleshooting guides, maintenance logs, and operational runbooks.
Collaborating with cross-functional stakeholders including shift leads, infrastructure engineers, and DC management to ensure work is completed to standard and on schedule.
Participating in shift-level technical tasks and project execution as directed by the Senior DC Technician or Lead DC Technician.
Monitoring and reporting on the status of assigned work items, incidents, and hardware tasks through Nebius ticketing and operational systems.
We expect you to have:
Hands-on experience diagnosing and resolving server hardware issues in a production or enterprise data center environment.
A solid understanding of data center operations, server architecture, and network equipment principles.
Basic proficiency in the Linux operating system and familiarity with command-line tools for system identification, log review, and basic diagnostics.
Practical experience working with server IT hardware, enterprise-grade network switches, and fiber optic cabling.
Proficiency with standard documentation and productivity tools including spreadsheets, with the ability to maintain logs, records, and operational reports.
A proactive, responsible, and quality-focused approach to work with a strong commitment to safety and process adherence.
Core Physical Requirements:
Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations.
Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids.
Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center infrastructure.
Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways.
Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure.
Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations.
Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions.
Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces.
It will be
an added bonus
if you have:
Valid Driving License
Project planning skills
Compensation
We offer competitive hourly rates, ranging from $30.00 – $42.00 per hour based on your experience.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Salt Lake City, Utah, United States
About the Role
iCapital is looking to hire a Full Stack Engineer Assistant Vice President to join the Post-Investment Technology team. This role will work end-to-end on new features, enhancements, and defect resolution on one or more of iCapital's software platforms. This individual will partner closely with the Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found in manual test efforts.
Responsibilities
Develop web applications using TypeScript for the front end and Python for the back end.
Demonstrate a strong grasp of system design, architecture, and trade-offs while mentoring junior engineers.
Participate in architecture reviews and technical design discussions.
Contribute to daily stand-up meetings.
Engage in peer code reviews as part of the standard SDLC and change management processes.
Qualifications
7+ years of software engineering experience building enterprise SaaS cloud-based solutions
5+ years of Python development experience
5+ years of hands-on experience with Typescript
Technical leadership and management experience is a plus
Demonstrated understanding of relational database concepts and modeling practices
Familiar with cloud-based technologies (i.e. K8S and AWS)
Able to work in an Agile or Kanban methodology
Able to work independently or as part of a group effort, as required
Strong problem-solving ability
Excellent communication skills
Collaborative approach to software development
Benefits
The base salary range for this role is $100,000 to $130,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: Lappeenranta, Finland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We are seeking a skilled and motivated Data Center Electrical Lead to support the operation and maintenance of critical infrastructure within a mission-critical data center environment in Lappeenranta, Finland. The successful candidate will have a strong electrical background and experience working with power distribution systems, industrial maintenance, or critical facilities operations.
This role is responsible for ensuring maximum uptime, reliability, and safety of data center electrical and mechanical systems while supporting 24/7 operations.
Key Responsibilities
Critical Infrastructure Operations
Operate and maintain critical electrical systems including:
UPS systems
Medium- and low-voltage switchgear
Transformers
Backup generators
ATS/STS equipment
Battery systems
Power distribution units (PDUs)
Monitor facility systems using BMS/EPMS platforms.
Perform routine inspections and operational checks of critical infrastructure.
Maintenance & Troubleshooting
Perform preventive and corrective maintenance on electrical and mechanical systems.
Diagnose and troubleshoot equipment failures and alarms.
Support emergency response and incident recovery activities.
Coordinate with vendors and contractors during maintenance activities.
Safety & Compliance
Follow Finnish electrical safety regulations and company safety procedures.
Support lockout/tagout (LOTO) procedures and safe switching operations.
Maintain compliance with SFS 6002, occupational safety requirements, and site policies.
Ensure all maintenance activities are properly documented.
Operational Support
Participate in 24/7 shift operations, including nights and weekends.
Maintain accurate logs, reports, and maintenance records.
Assist with commissioning and testing of new equipment and infrastructure upgrades.
Support continuous improvement initiatives for operational efficiency and reliability.
Qualifications
Required
Vocational qualification, diploma, or degree in:
Electrical Engineering
Industrial Maintenance
Automation Technology
Power Systems
Experience working with electrical infrastructure or industrial systems.
Knowledge of:
Power distribution systems
Electrical troubleshooting
Preventive maintenance practices
Ability to read electrical schematics and single-line diagrams.
Good English communication skills.
Preferred
Data center or mission-critical facility experience.
SFS 6002 Electrical Safety certification.
Experience with medium-voltage systems.
Knowledge of HVAC/cooling infrastructure.
Experience using CMMS, BMS, or EPMS systems.
Finnish language skills are an advantage.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia
Workplace: remote
About Provectus
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDE and an FDX,
Forward Deployed Executives (FDX)
own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs.
Forward Deployed Engineers (FDE)
embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution.
Senior AI Engineer.
When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails. You'll have real ownership of components and of the technical decisions inside them.
Requirements:
Mindset
Proactive and self-directed;
you push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfort with ambiguity and ownership.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
5+ years in software or ML engineering, with production systems you were accountable for
.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes.
Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks.
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production.
Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack.
Dropped into an unfamiliar codebase, you're productive.
Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus.
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release.
Model and agent monitoring, drift detection.
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs.
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus.
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus.
Responsibilities:
Work in a pair with an FDE and an FDX.
Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions).
Build and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Integrate AI components into backend services and RESTful APIs
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection
Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints
Participate in technical discussions and architectural decisions
Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability
Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops.
Nice to Have:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications
A2A: you can explain agent-to-agent interoperability
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside FDE and FDX
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engine
Location: Lappeenranta, Finland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Role
We are seeking a skilled and motivated Data Center Operations Technician to support the operation and maintenance of critical infrastructure within a mission-critical data center environment in Lappeenranta, Finland. The successful candidate will have a strong electrical background and experience working with power distribution systems, industrial maintenance, or critical facilities operations.
This role is responsible for ensuring maximum uptime, reliability, and safety of data center electrical and mechanical systems while supporting 24/7 operations.
Key Responsibilities
Critical Infrastructure Operations
Operate and maintain critical electrical systems including:
UPS systems
Medium- and low-voltage switchgear
Transformers
Backup generators
ATS/STS equipment
Battery systems
Power distribution units (PDUs)
Monitor facility systems using BMS/EPMS platforms.
Perform routine inspections and operational checks of critical infrastructure.
Maintenance & Troubleshooting
Perform preventive and corrective maintenance on electrical and mechanical systems.
Diagnose and troubleshoot equipment failures and alarms.
Support emergency response and incident recovery activities.
Coordinate with vendors and contractors during maintenance activities.
Safety & Compliance
Follow Finnish electrical safety regulations and company safety procedures.
Support lockout/tagout (LOTO) procedures and safe switching operations.
Maintain compliance with SFS 6002, occupational safety requirements, and site policies.
Ensure all maintenance activities are properly documented.
Operational Support
Participate in 24/7 shift operations, including nights and weekends.
Maintain accurate logs, reports, and maintenance records.
Assist with commissioning and testing of new equipment and infrastructure upgrades.
Support continuous improvement initiatives for operational efficiency and reliability.
Qualifications
Required
Vocational qualification, diploma, or degree in:
Electrical Engineering
Industrial Maintenance
Automation Technology
Power Systems
Experience working with electrical infrastructure or industrial systems.
Knowledge of:
Power distribution systems
Electrical troubleshooting
Preventive maintenance practices
Ability to read electrical schematics and single-line diagrams.
Good English communication skills.
Preferred
Data center or mission-critical facility experience.
SFS 6002 Electrical Safety certification.
Experience with medium-voltage systems.
Knowledge of HVAC/cooling infrastructure.
Experience using CMMS, BMS, or EPMS systems.
Finnish language skills are an advantage.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
О компании:
Глобальная финтех-экосистема, 16 лет на рынке. Объединяет процессинг платежей, мультивалютные бизнес-счета, BaaS и крипто-шлюзы в единую интеллектуальную инфраструктуру. Сейчас трансформируем инфраструктуру из human-operated финтеха в AI-native financial platform.
О роли:
Ищем Solution Architect / Agentic Systems Engineer Lead в Design Team. Вы будете владельцем технической архитектуры web-продуктов acquiring business line — payment pages, merchant dashboards, marketing websites. Плюс design и реализация AI-powered automation pipelines: от design-to-code до automated QA и design system management.
Ключевые задачи:
— Owner технической архитектуры web-продуктов: Angular SPA, NestJS BFF
— Дизайн API и data flows между frontend и backend (PostgreSQL, MongoDB, Redis, Oracle)
— PCI DSS compliance в payment-facing интерфейсах
— Дизайн и реализация multi-agent pipelines: design-to-code, visual QA, component generation
— MCP-серверы и tool integrations для AI-агентов команды
— Менторство команды, architecture reviews, technical leadership
Что важно:
— 7+ лет в full-stack/backend, из них 2+ года в роли архитектора или tech lead
— Подтверждённый опыт проектирования системной архитектуры (API, data flows, service interactions)
— Production-опыт с PostgreSQL, MongoDB, Redis (schema design, оптимизация, кэширование)
— Hands-on с LLM API
— Понимание agent frameworks и паттернов (MCP, RAG, function calling, multi-agent orchestration)
— Английский B2
Почему это интересно:
— Реальный AI-native стек: multi-agent pipelines, MCP, agentic systems в production.
— Архитектурная свобода + влияние на продукт уровня глобального финтеха.
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1500 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house hardware R&D team.
The team
You will join a small, highly focused frontend engineering team responsible for building internal interfaces that power Nebius’s GPU cloud and data center operations. The team develops tools that automate infrastructure deployment, server operations, network management, and logistics workflows across global data center environments.
This role is part of the wider infrastructure and operations organization and works closely with engineering teams responsible for cloud infrastructure, deployment automation, and production operations.
The role
We are seeking a Senior Frontend Engineer – User Interface to design and build internal platforms that support automation and operational management across Nebius data centers and GPU cloud infrastructure.
This is a highly autonomous role focused on developing reliable, scalable user interfaces for infrastructure-heavy environments. You will work across systems related to server operations, network management, logistics, and deployment workflows while partnering closely with infrastructure and operations teams.
Your responsibilities will include:
Designing and developing internal web applications that automate data center and infrastructure operations.
Building user interfaces that support server management, network operations, deployment workflows, and logistics processes.
Collaborating with infrastructure, operations, and platform engineering teams to translate operational requirements into scalable frontend solutions.
Improving reliability, usability, and operational efficiency across internal tooling platforms.
Working closely with European-based frontend engineers to align on architecture, standards, and development practices.
Supporting deployment and operational workflows across GPU cloud infrastructure environments.
Contributing to frontend architecture decisions, component design, and long-term maintainability of internal systems.
Participating in code reviews, technical discussions, and continuous improvement initiatives across the engineering organization.
We expect you to have:
Strong experience with JavaScript and/or TypeScript.
Hands-on experience building modern frontend applications using React.
Experience working with Docker and containerized development environments.
Strong Linux knowledge and command-line proficiency.
Experience supporting, deploying, or troubleshooting applications in production infrastructure environments.
Strong problem-solving skills with the ability to operate independently in high-responsibility environments.
Ability to collaborate effectively across distributed teams and time zones.
A proactive, ownership-driven mindset with strong communication skills.
Nice to have:
Experience with frontend state management libraries and patterns.
Background working in infrastructure, cloud, or data center environments.
Familiarity with deployment automation or operational tooling.
Experience building internal developer or operations-focused platforms.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$122,880
—
$184,320 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
ГибридNew York, NY (HQ); San Francisco, CA; Remote (US); Relocation expense coverage to NYC or SF (if needed)
Alabama; Huntsville
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San Francisco, CA | New York City, NY | Seattle, WA
ОфисNew York, NY; Open to candidates based near our NYC office or those willing to relocate; Lastly, the provided range is the expected salary for candidates in the U.S
seniorГеография найма не уточнена
seniorГеография найма не уточнена
seniorГеография найма не уточнена
УдалённоseniorThe Netherlands
УдалённоseniorGermany
УдалённоseniorAbility to work 8 AM – 4 PM MST (South Africa timezone preferred)
Oklahoma, United States
Salt Lake City, Utah, United States
leadLappeenranta, Finland
УдалённоseniorArmenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia
Lappeenranta, Finland
УдалённоRemote - United States; Ability to collaborate effectively across distributed teams and time zones