Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Principal Machine Learning Engineer
to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure.
Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints.
Key Responsibilities
Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment.
Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation.
Design and operate scalable inference systems while balancing latency, cost, and reliability.
Develop and maintain data pipelines for both synthetic and real-world training datasets.
Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams.
Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies.
Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications.
Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety.
Requirements
Strong background in deep learning and transformer-based architectures.
Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production.
Proficiency with modern machine learning frameworks such as
PyTorch
or
JAX
.
Experience with distributed training and inference frameworks, including technologies such as
DeepSpeed, FSDP, Megatron, ZeRO, or Ray
.
Strong software engineering skills with experience building robust, maintainable, production-grade systems.
Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision.
Ability to independently own end-to-end machine learning systems in fast-moving environments.
Strong problem-solving skills with a focus on rapid iteration and continuous improvement.
Preferred Qualifications
Experience with one or more of the following is preferred:
LLM inference frameworks such as
vLLM, TensorRT-LLM, or FasterTransformer
Open-source contributions to machine learning or systems libraries
Scientific computing, compiler technologies, or GPU kernel development
Reinforcement Learning from Human Feedback (RLHF) pipelines, including
PPO, DPO, or ORPO
Training or deploying multimodal or diffusion models
Large-scale data processing frameworks such as
Apache Arrow, Spark, or Ray
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a AI Backend Engineer to build and operate the backend infrastructure that powers AI-driven experiences across its products. The role focuses on owning the inference and orchestration layer that sits between AI models and end users, ensuring every interaction is fast, reliable, scalable, and cost-efficient.
Working closely with engineering and AI teams, this position will play a key role in designing production-grade backend services, optimizing system performance, and delivering robust AI-powered features across mobile and desktop platforms.
Key Responsibilities
Build, maintain, and operate backend systems that power AI-enabled features in production.
Design and implement AI inference pipelines, orchestration layers, and service architectures around AI models.
Develop scalable, high-performance APIs that integrate seamlessly with frontend applications and machine learning systems.
Optimize system performance by improving inference latency, throughput, caching, batching, and streaming capabilities.
Own production operations, including monitoring, logging, alerting, and incident response.
Troubleshoot and resolve issues within distributed systems to ensure service reliability and stability.
Continuously improve backend architecture and production systems based on operational insights and real-world usage.
Collaborate with cross-functional teams to deliver reliable, scalable, and high-quality AI-powered solutions.
Requirements
Strong backend engineering experience in production environments.
Proven experience building and operating high-throughput, low-latency backend services.
Experience designing scalable APIs and distributed systems.
Familiarity with AI inference patterns, including Large Language Models (LLMs), embeddings, and multimodal AI systems.
Strong debugging and troubleshooting skills within distributed production environments.
Demonstrated ability to deliver production-ready solutions while iterating based on real-world system performance.
Excellent analytical, problem-solving, and collaboration skills.
Technical Skills
Experience with the following technologies is preferred:
Python
Node.js
PyTorch
OpenAI, Anthropic, or open-source Large Language Models (LLMs)
SQL and NoSQL databases
Kubernetes
Docker
Location: Lagos, Nigeria
Who We Are
We're a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The Role
The Senior Risk Analyst (Portfolio Risk) is responsible for driving portfolio risk analytics, credit performance monitoring, Expected Credit Loss (ECL) modeling, impairment analysis, and value-added risk initiatives that optimize portfolio performance and profitability.
The role partners closely with Risk, Finance, Product, Collections, and Technology teams to deliver actionable portfolio insights, automate reporting, improve decision-making, and support strategic initiatives such as Risk-Based Pricing (RBP), digitalization, and portfolio optimization.
This role is ideal for someone with strong analytical capabilities, deep knowledge of retail lending portfolios, IFRS 9/ECL methodologies, and the ability to translate complex data into business recommendations within a fast-paced financial services environment.
What You Will Do
Monitor and analyze portfolio performance across all lending products, identifying emerging risks, trends, and business opportunities.
Develop, automate, and maintain portfolio risk dashboards, management reports, and executive reporting.
Lead value-added portfolio initiatives including Risk-Based Pricing (RBP), digitalization, and portfolio optimization projects.
Deliver timely, accurate, and insightful reporting to support strategic and operational decision-making.
Own the portfolio Expected Credit Loss (ECL) and impairment analysis in accordance with IFRS 9 requirements.
Provide profitability analysis by evaluating impairment costs, portfolio performance, and P&L contribution across each lending product.
Support forecasting of credit losses, provisions, and portfolio performance under different economic scenarios.
Design and enhance portfolio monitoring frameworks, early warning indicators, and risk performance metrics.
Collaborate with Data, Finance, Product, Collections, and Technology teams to improve data quality and reporting automation.
Build automated reporting solutions and improve data infrastructure to reduce manual processes.
Conduct deep-dive analyses into portfolio trends, customer behavior, segmentation, and credit performance.
Perform portfolio stress testing, sensitivity analysis, and scenario modeling.
Support regulatory reporting, internal audits, and governance requirements relating to portfolio risk.
Recommend risk policy enhancements based on portfolio performance and analytical findings.
Maintain documentation for portfolio methodologies, reporting processes, and analytical models.
Drive continuous improvement initiatives across portfolio analytics and reporting capabilities.
Requirements
What You Bring
Educational Qualification
Bachelor's degree in Statistics, Mathematics, Economics, Finance, Accounting, Computer Science, Engineering, or a related quantitative discipline.
Master's degree is an added advantage.
Professional Certifications
FRM (Financial Risk Manager) – preferred.
CFA (Chartered Financial Analyst) – an advantage.
ACCA, ACA, or equivalent accounting qualification is beneficial.
IFRS 9 or Credit Risk certifications are an added advantage.
Microsoft Power BI, SQL, Python, SAS, or Data Analytics certifications are desirable.
Experience
Minimum of 5–7 years of experience in Portfolio Risk, Credit Risk Analytics, Risk Modelling, or Financial Risk.
Experience within banking, fintech, consumer lending, digital lending, or financial services.
Demonstrated experience with IFRS 9, Expected Credit Loss (ECL), impairment analysis, and portfolio monitoring.
Experience building automated reporting and portfolio dashboards.
Experience supporting senior management with portfolio performance insights and strategic recommendations.
Professional Competencies
Strong knowledge of portfolio risk management principles and retail lending products.
Deep understanding of IFRS 9, ECL methodologies, impairment calculations, and provisioning.
Strong analytical skills with experience interpreting large datasets and translating insights into business actions.
Advanced proficiency in SQL, Excel, Power BI, Tableau, Python, SAS, R, or similar analytical tools.
Strong understanding of P&L drivers, portfolio profitability, and financial performance analysis.
Experience designing portfolio monitoring frameworks and early warning indicators.
Ability to automate reporting processes and improve reporting efficiency.
Strong knowledge of credit risk metrics including PAR, Roll Rates, Vintage Analysis, Loss Rates, Recoveries, and Collections performance.
Excellent presentation, communication, and stakeholder management skills.
Strong attention to detail with the ability to influence strategic decision-making through data.
Ability to manage multiple priorities within a fast-paced environment.
This Role Is Ideal For You If:
You enjoy transforming complex portfolio data into strategic business insights.
You are passionate about credit risk analytics, portfolio optimization, and automation.
You enjoy improving reporting efficiency through digitalization and data-driven solutions.
You thrive in solving complex business problems using analytics.
You enjoy collaborating across Risk, Finance, Technology, and Product teams.
You want to influence credit strategy and portfolio performance at scale.
You May Not Enjoy This Role If:
You prefer operational roles over analytical and strategic work.
You are uncomfortable working with large datasets and complex financial models.
You dislike automation, reporting, or continuous process improvement.
You prefer highly repetitive work with limited opportunities for innovation.
You are not interested in financial performance, impairment, or portfolio optimization.
Benefits
What's In It For You
Opportunity to shape portfolio strategy within a leading fintech organization.
Direct ownership of portfolio analytics, IFRS 9 reporting, and risk insights that influence executive decision-making.
Exposure to large-scale digital transformation, Risk-Based Pricing (RBP), and advanced analytics initiatives.
Opportunity to collaborate with Risk, Finance, Product, Data, Engineering, and Executive Leadership teams.
Continuous learning, professional certification sponsorship, and career development opportunities.
Competitive compensation and the opportunity to solve complex, high-impact credit risk challenges.
Location: San Francisco
Workplace: OnSite
🧠 ABOUT LEGION HEALTH
At Legion Health https://legionhealth.com, we believe everyone deserves fast, affordable, and world-class health care, and we’re developing the AI infrastructure to deliver it ourselves at world scale.
Legion is building autonomous medical care (the AI doctor), starting with psychiatry. Our AI-native care-delivery platform currently automates 95% of the administrative work required for us to deliver direct patient care. We also recently became the first company ever to receive regulatory authorization to let AI prescribe psychiatric medications https://nypost.com/2026/03/27/business/artificial-intelligence-can-now-prescribe-mental-health-drugs/, allowing us to not only collapse health care’s admin costs but also its clinical labor costs—shifting this industry’s economics from humans to tokens.
Our technical moat is hard to copy—we combine rich data, production AI, doctors in the loop, and end-to-end care operations to deliver measurably better care to a clinically complex patient population. This has helped us produce tens of thousands of total visits in just 2 years, all while holding ops costs flat and achieving industry-leading patient NPS and retention. While the last generation of healthcare startups made the existing system incrementally more efficient, Legion is rebuilding full-stack care delivery from first principles. Our vision? A 10X better patient experience that’s higher quality, less expensive, and more scalable than ever before. And a 10X better clinician experience that frees our providers to focus on what matters most: caring for patients.
Legion Health is backed by Y Combinator, leading venture capital firms, and founders from Function Health, Modern Health, Everly Health, Trusted Health, Clipboard Health, PatientPing, Sesame Care, Faire, EasyPost, and fuboTV.
Join us as we build the future of health care: faster, higher-quality, and more affordable, powered by doctors and AI working together.
📍 ROLE LOGISTICS
- Job Type: Full-Time
- Role Type: GTM Engineering / Revenue Systems / Provider Partnerships / AI Automation / Data & Attribution
- Ideal Experience Level: 5+ years, including 3+ years owning GTM systems, revenue automation, growth engineering, or technical RevOps
- Location: In-Person in San Francisco, CA
- US Visa Sponsorship: Yes
🚀 THE OPPORTUNITY
Legion is hiring a GTM Engineer to build the AI-native commercial and referral infrastructure behind our provider-partnership motion. Your systems will help us identify the right provider organizations, reach the right stakeholders, turn interest into referrals, and move referred patients into care quickly.
This is not a traditional RevOps or CRM administration job. You will own the technical architecture from market mapping and outbound through referral intake, attribution, eligibility, onboarding, and partner reporting. You will configure best-in-class tools when they are sufficient and write code or build integrations, agents, and internal products when they are not.
You will build both sides of our sales motion. From the bottom up, Legion needs a complete view of every clinic, location, physician, referral coordinator, and office leader in a market. From the top down, we need to map enterprise medical groups, centralized referral teams, executives, clinical leaders, and every stakeholder who can shape a partnership. The system should tell each representative who matters, why they matter, what happened last, and what to do next.
You will also engineer the path from referral to care. Referrals may arrive through fax, forms, APIs, tracked links, QR codes, phone calls, or patients who begin online after a provider recommendation. Regardless of channel, Legion must identify the source, resolve the provider and organization, preserve attribution, process the referral, initiate eligibility and onboarding, and synchronize the right data across our CRM, product, analytics, and patient-engagement systems.
The right person is a hands-on systems builder with strong product judgment. You should be comfortable choosing a CRM, modeling complex account hierarchies, writing SQL and lightweight production code, integrating APIs, deploying AI workflows, debugging failures, and partnering with sales, product, engineering, data, operations, clinical, compliance, and security teams. Over time, you will help turn provider partnerships into a secure product that makes Legion the easiest specialty care partner in the country: simple to refer patients to, easy to collaborate with, and consistently responsive.
✅ RESPONSIBILITIES AND DELIVERABLES
- Select and architect Legion’s provider-partnership CRM—whether HubSpot, Salesforce, Attio, or another AI-native platform—as the source of truth for organizations, locations, stakeholders, opportunities, referrals, ownership, and next actions.
- Design a durable account hierarchy that connects individual clinicians, clinic locations, care teams, medical groups, parent organizations, enterprise partnerships, and internal owners without losing history or context.
- Build a provider prospecting data layer using NPI and claims data, Definitive Healthcare or similar datasets, public sources, enrichment providers, and Legion’s internal data.
- Create account-scoring and territory systems that prioritize targets using geography, specialty, patient volume, payer mix, referral potential, network relationships, and engagement signals.
- Build coordinated outbound workflows across email, phone, LinkedIn, direct mail, events, lunch-and-learns, and field sales using tools such as Clay, Apollo, LinkedIn Sales Navigator, sequencing platforms, AI agents, and custom integrations.
- Map clinic-level champions and referral coordinators alongside enterprise executives, clinical leaders, operations leaders, and centralized referral teams so Legion can sell from the bottom up and the top down.
- Equip sales representatives with accurate contact data, office addresses, account briefs, relationship history, meeting preparation, follow-up automation, and clear next-best actions.
- Deploy AI-assisted workflows for account research, stakeholder discovery, enrichment, outreach drafting, call intelligence, CRM updates, and follow-up with appropriate evaluations and human review.
- Build an omnichannel referral-ingestion layer that turns fax, forms, APIs, tracked links, QR codes, phone calls, provider handoffs, and patients who begin online after a provider recommendation into structured, traceable records.
- Automate referral processing, including document extraction, provider and organization matching, deduplication, completeness checks, routing, exception handling, and audit trails.
- Connect referral intake to insurance eligibility and AI-native front-desk workflows for patient outreach, onboarding, and scheduling so referred patients reach the right next step without avoidable delays.
- Own end-to-end attribution across the referring clinician, clinic, parent organization, partnership, sales representative, campaign, channel, UTM, QR code, landing page, fax source, and downstream patient journey.
- Integrate the provider CRM, Legion’s database, the patient-facing CRM, PostHog, Braze or another lifecycle platform, analytics systems, and custom applications into one coherent data flow.
- Partner with product and engineering to build secure provider-facing dashboards and workflows for referral volume, referral status, time-to-contact, scheduling progress, coverage and copay information, and other authorized care-coordination information.
- Build compliant workflows that return medical records, care summaries, and status updates to referring care teams through approved fax, secure email, portal, interoperability, or other authorized channels at the right cadence.
- Create dashboards and operating reviews for market coverage, stakeholder penetration, outreach performance, pipeline, referral volume, conversion, speed to care, repeat referrals, partner expansion, and revenue impact.
- Own production reliability across monitoring, logging, retries, rate-limit handling, identity resolution, testing, versioning, access control, documentation, and recovery when systems fail.
- Treat HIPAA, PHI handling, minimum-necessary access, role-based permissions, audit trails, consent, and provider trust as product requirements in every automated workflow.
- Make disciplined build-versus-buy decisions, ship useful first versions quickly, and drive adoption through clear playbooks, training, and change management.
🏆 YOU’LL BE SUCCESSFUL IF YOU…
- Give Legion a provider CRM and data model that the team trusts as the source of truth.
- Create a complete, prioritized map of each market so representatives spend time with the right organizations and people.
- Build a repeatable outbound engine that produces qualified provider conversations and pipeline through coordinated digital, field, bottom-up, and top-down plays.
- Ensure every referral is captured, processed, routed, and attributed correctly regardless of how it arrives.
- Reduce the time from referral to eligibility, patient contact, onboarding, scheduling, and completed care.
- Give referring care teams a secure, useful experience that increases trust and repeat referrals.
- Remove repetitive research, data entry, document processing, routing, follow-up, and reporting work without sacrificing accuracy or judgment.
- Build reliable systems that sales and operations adopt, improve continuously, and measurably increase referral volume, conversion, speed to care, partner retention, and revenue.
🧰 IDEAL BACKGROUND AND SKILLS
- 5+ years in GTM engineering, revenue operations, sales operations, growth engineering, business systems, data engineering, internal tools, or another systems-building role close to revenue.
- 3+ years directly owning CRM architecture, GTM automation, data pipelines, outbound infrastructure, attribution, or technically complex revenue programs.
- Strong technical foundation: advanced SQL plus the ability to write and review production-quality Python, JavaScript, or TypeScript for integrations, automations, and internal tools.
- Deep CRM fluency in HubSpot, Salesforce, Attio, or similar, including objects, associations, account hierarchies, lifecycle stages, permissions, routing, reporting, deduplication, and data governance.
- Hands-on experience with APIs, webhooks, ETL or reverse ETL, event instrumentation, identity resolution, error handling, observability, and modern data warehouses.
- Practical fluency with modern GTM tools such as Clay, Apollo, Definitive Healthcare, LinkedIn Sales Navigator, Outreach, Salesloft, n8n, Make, Zapier, Workato, or equivalent platforms.
- Production experience with LLM-powered research, extraction, classification, routing, or agentic automation, including structured outputs, evaluations, monitoring, confidence thresholds, and human-in-the-loop review.
- Strong analytical judgment across funnels, attribution, pipeline, conversion, velocity, cohort analysis, experimentation, and revenue impact.
- Strong product sense and build-versus-buy judgment. You can turn a messy frontline problem into a coherent system that people trust and use.
- Strong preference for experience in healthcare, provider partnerships, referrals, physician networks, field sales, multi-location organizations, or another complex relationship-driven business.
- Healthcare and security judgment: disciplined access controls, auditability, minimum-necessary access and data use, consent, and close partnership with compliance and clinical leaders.
- Bonus: experience with eFax, referral management, EHR integrations, HL7, FHIR, eligibility, claims, provider directories, or NPI data.
- Excellent cross-functional communication. You can translate the needs of a sales representative, referral coordinator, operator, clinician, engineer, analyst, and executive into a system that works.
- Low ego, high ownership, and startup intensity. You can diagnose the bottleneck, design the solution, ship a useful version, measure the result, and improve it quickly.
💰 COMPENSATION & BENEFITS
- Salary: $140,000 – $260,000, based on experience
- Early-Stage Equity: Meaningful ownership in a category-defining company.
- Health Insurance: Medical, dental, and vision benefits
- Additional Perks: In-person retreats, meal stipends, GTM and revenue-systems tooling budget, learning stipend, AI tooling budget
- Time Off: Flexible, unlimited vacation policy
- Work Hours: Flexible, with responsiveness around high-impact launches or system issues
- Work Setup: In-Person in San Francisco, CA
- Impact: Build the technical system that turns partnerships into faster access to high-quality medical care for all.
- Autonomy and Learning: Own CRM architecture, provider data, outbound infrastructure, referral workflows, attribution, AI automation, reporting, and partner-facing systems end-to-end.
- Growth Opportunities: As Legion scales, this role can grow into Head of GTM Engineering, Head of Revenue Operations, or a broader product and growth leadership role.
📝 HOW TO APPLY AND HIRING PROCESS
- Apply here: https://jobs.ashbyhq.com/legionhealth/3a007cb1-faad-4854-a847-e4b77eaf3a42
- Overview of our hiring process:
1. Resume + Application Screen
2. Founder Interview
3. GTM + AI Systems Deep Dive
4. Professional Reference Checks
- Estimated time-to-hire: 2 weeks
- Start date: ASAP
- Hiring manager: Arthur MacWaters
🤝 EQUAL EMPLOYMENT OPPORTUNITY
Legion Health is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, contractors, and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other protected characteristic under applicable law. We encourage applicants from all backgrounds to apply.
Location: India; Singapore
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
Nebius is building next-generation data center infrastructure across the APAC to support high-density, GPU-driven workloads. As an Electrical Design Engineer, you will support the design, review, and technical development of electrical systems for data centers across the APAC portfolio.
This role is ideal for a
Data Center Electrical Design Engineer
with hands-on
data center design
experience who can work across conceptual design, design reviews, partner coordination, and technical decision-making. You should be comfortable evaluating
both low-voltage and medium/high-voltage electrical systems
and helping ensure designs meet Nebius standards, local regulations, and operational requirements.
Responsibilities
Review electrical design packages for data center projects, including internal concepts and third-party partner designs.
Support development of electrical design concepts for high-density data center environments.
Evaluate UPS, LV, MV, and HV electrical infrastructure, including systems up to 400V and MV/HV systems around 11kV and above.
Review cable distribution, electrical pathways, and design coordination with data hall layouts.
Partner with mechanical, construction, commissioning, and operations stakeholders to ensure designs are buildable, maintainable, and aligned with business needs.
Assess designs for concurrently maintainable data center operations and high power-density environments.
Help identify alternative design solutions, product options, and technical tradeoffs.
Requirements
Data center electrical design experience.
Strong understanding of electrical systems used in mission-critical or data center environments.
Experience with LV and/or MV/HV electrical infrastructure.
Ability to review design documents, technical proposals, and partner deliverables.
Ability to read and interpret contracts, design requirements, and technical standards.
Strong communication skills with internal stakeholders, external design partners, and construction teams.
Practical engineering mindset with ability to think beyond narrow specialization.
Nice to Have
Experience with hyperscale, neocloud, GPU, or AI infrastructure data centers.
Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms.
Familiarity with high-density rack environments, including 50kW to 200kW per rack.
Experience supporting design reviews through commissioning or operational turnover.
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: Singapore
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
Nebius is building next-generation data center infrastructure across the APAC to support high-density, GPU-driven workloads. As a Mechanical Design Engineer, you will support the design, review, and technical development of mechanical systems for data centers across the APAC portfolio.
This role is ideal for a
Mechanical Engineer
who can take broad ownership across data center mechanical design, evaluate technical options, and work closely with electrical, construction, commissioning, and operations teams. The right candidate can operate independently, review third-party designs, and help Nebius build scalable, maintainable, high-density data center environments.
Responsibilities
Review mechanical design packages for data center projects, including internal concepts and third-party partner designs.
Support mechanical design development for high-density data center environments.
Evaluate mechanical design options for air-cooled and liquid-cooled data center architectures.
Coordinate closely with electrical design, construction, commissioning, and operations stakeholders.
Review designs for maintainability, operational resilience, capacity, and alignment with Nebius standards.
Help assess technical tradeoffs, alternative solutions, product options, and design risks.
Support design reviews tied to power density, airflow, cooling capacity, and operational readiness.
Requirements
Data center mechanical design experience.
Strong understanding of mechanical systems in mission-critical or data center environments.
Experience with air-cooled data center design.
Ability to evaluate mechanical capacity, flows, and design assumptions.
Ability to review design documents, technical proposals, and partner deliverables.
Ability to read and interpret contracts, design requirements, and technical standards.
Strong communication skills with internal stakeholders, external design partners, and construction teams.
Broad engineering ownership mindset; able to manage the full mechanical design scope rather than only a narrow specialty.
Nice to Have
Experience with liquid-cooled data center technologies.
Experience with hyper-scale, neocloud, GPU, or AI infrastructure data centers.
Experience at companies such as Lambda, CoreWeave, hyperscalers, colocation providers, or mission-critical engineering firms.
Familiarity with high-density rack environments, including 50kW to 200kW per rack.
Experience supporting design reviews through commissioning or operational turnover.
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: 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
Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards.
You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage.
The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work.
Key responsibilities
Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults
Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off
Work directly in research codebases, improving reliability and structure without slowing down the research they support
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs
Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling
Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code
A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing
Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds
Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows
Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines
Experience building or operating large-scale distributed systems
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing or dataset lifecycle management
Experience designing plugin systems or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams, including successfully handing off systems for others to own
Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams
Prior experience as a technical lead, or setting engineering standards for a team
Prior experience maintaining an open source project
Representative projects
These are examples of the challenges the team tackles; no one person will work on all of them:
Design a base RL environment abstraction general enough to be subclassed across a wide range of environments
Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics
Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks
Design probes that catch sandbox regressions early
Design the lifecycle and maintenance scheme for a production dataset
Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them
Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs
Build the access layer that lets researchers discover and reuse data artifacts across teams
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:
$405,000
—
$625,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Canada; United States
The
Platform Systems Verification and Validation (V&V) Engineer
focuses on the satellite bus, ensuring the core infrastructure subsystems are fully verified and ready to support the payload.
Role Overview
This role focuses on the functional verification of the utility subsystems that keep the satellite alive and oriented. It ensures the core platform—including power, thermal control, propulsion, and pointing—operates flawlessly and responds correctly to the onboard flight software.
Key Responsibilities & Tasks
Bus Subsystem Verification: Test and validate critical platform subsystems, including Attitude Determination and Control (ADCS), Electrical Power Subsystems (EPS), Thermal Control (TCS), and Propulsion.
Hardware-in-the-Loop (HIL): Utilize HIL testbeds to simulate orbital dynamics and sensor inputs (star trackers, GPS, sun sensors) to verify ADCS pointing accuracy.
Power & Harness Validation: Perform power budget verification, battery charge/discharge cycle testing, and solar array simulator (SAS) integration.
Flight Software (FSW) Interfacing: Test command routing, telemetry packet generation, and fault detection, isolation, and recovery (FDIR) loops.
Subsystem Interface Control: Verify that all physical, data (CAN, SpaceWire, RS-422), and electrical interfaces between platform subsystems are compliant.
Candidate Prerequisites ("Must Haves")
Experience: 5+ years verifying aerospace subsystems, embedded robotics, or satellite platform architectures.
Technical Breadth: Strong knowledge of power electronics, orbital mechanics, thermal management, or control systems.
Simulators & Automation: Experience with automated test scripting (Python/MATLAB) to control power supplies, loads, and simulated sensor inputs.
Protocol Expertise: Familiarity with space-industry data protocols and avionics testing architectures.
Canada; United States; [Fastwater Staffing] Platform Systems Verification & Validation Engineer | Montreal, Canada (Full Relocation Package)
Location: Montreal, Canada
The
Platform Systems Verification and Validation (V&V) Engineer
focuses on the
satellite bus
, ensuring the core infrastructure subsystems are fully verified and ready to support the payload.
Role Overview
This role focuses on the functional verification of the utility subsystems that keep the satellite alive and oriented. It ensures the core platform—including power, thermal control, propulsion, and pointing—operates flawlessly and responds correctly to the onboard flight software.
Key Responsibilities & Tasks
Bus Subsystem Verification
: Test and validate critical platform subsystems, including Attitude Determination and Control (ADCS), Electrical Power Subsystems (EPS), Thermal Control (TCS), and Propulsion.
Hardware-in-the-Loop (HIL)
: Utilize HIL testbeds to simulate orbital dynamics and sensor inputs (star trackers, GPS, sun sensors) to verify ADCS pointing accuracy.
Power & Harness Validation
: Perform power budget verification, battery charge/discharge cycle testing, and solar array simulator (SAS) integration.
Flight Software (FSW) Interfacing
: Test command routing, telemetry packet generation, and fault detection, isolation, and recovery (FDIR) loops.
Subsystem Interface Control
: Verify that all physical, data (CAN, SpaceWire, RS-422), and electrical interfaces between platform subsystems are compliant.
Candidate Prerequisites ("Must Haves")
Experience
: 5+ years verifying aerospace subsystems, embedded robotics, or satellite platform architectures.
Technical Breadth
: Strong knowledge of power electronics, orbital mechanics, thermal management, or control systems.
Simulators & Automation
: Experience with automated test scripting (Python/MATLAB) to control power supplies, loads, and simulated sensor inputs.
Protocol Expertise
: Familiarity with space-industry data protocols and avionics testing architectures.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
If the idea of contributing to the critical and core services that drive the fundamental functioning and building blocks of data processing involved in our data pipelines, this opportunity fits you well. As an engineer on the core team, you will design, implement, and maintain the central parts of our data pipelines needed to operate the best-in-class reliable, secure, and scalable data movement. You will prioritize the quality, efficiency, and reliability of the responsibility areas of the team while collaborating effectively with other peers and the rest of the engineering organization. The ideal candidate exhibits exceptional technical skills, meticulous attention to detail, creativity, motivation, and a results-oriented mindset.
This is a full-time hybrid position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Java17, JUnit5
Docker and Kubernetes
AWS, GCP, Azure
SQL, BigQuery
Bazel, BuildKite
What You’ll Do
Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability.
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems.
Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices.
Experience working with distributed systems
Demonstrated ability to write well-structured and performant code
Ability to lead software design to satisfy project requirements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s
Experience interacting with continuous integration tools like Buidkite
Bonus Skills
Knowledge of observability tools like New Relic/Grafana is a plus
Knowledge of AI tools and usage is a plus
#LI-HYBRID #LI-EM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Dubai, UAE
Workplace: Remote
ABOUT COLUMN
For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they rely on. We have spent our careers founding and scaling companies like Plaid, Square, Meta, Blend, and Affirm, and have seen this problem firsthand — builders and developers needing to partner with traditional banks, and creating API and abstraction layers over the patchwork that is the bank, its core, and many other vendors. All of this results in a complex (and often expensive) banking supply chain involving a user, fintech, BaaS middleware provider, bank, core and the Federal Reserve.
At Column, we set out to simplify and fix this. We are a bank and a software company built from the ground up, offering builders and developers technology-forward banking solutions that cut out the hundreds of vendors, middleware providers, and abstraction layers. This means a safer, more transparent, and less costly banking supply chain. Come build with us!
THE OPPORTUNITY
As Column’s Emerging Markets Lead, you will spearhead one of our most strategic international expansion initiatives. In this role, you will be responsible for driving 0-to-1 growth for a new banking product by building and nurturing relationships with prospective partners and customers in select markets, with a specific focus on CIS and Eastern Europe. This role combines global expansion strategy, business development with hands-on relationship management, requiring a general business athlete who thrives on networking and executing complex partnerships. This is a unique opportunity to be on the founding team for a new business line, with significant autonomy and direct impact on Column’s global expansion strategy.
This position will be based in Dubai, with regular travel throughout the region and occasional travel to Column’s headquarters in San Francisco.
WHAT YOU’LL DO
- Lead regional market development: Own the end-to-end process of identifying, evaluating, and executing on high-value partnerships with banks across a number of international markets.
- Build and maintain key relationships: Serve as the primary relationship owner for prospective and existing customers, conducting regular in-person meetings, attending local industry events, and managing ongoing partnership development.
- Own partnership execution: Lead complex deal processes from initial outreach through contract signature, working collaboratively with Column’s Legal, Compliance, and Product teams.
- Develop market intelligence: Gather and synthesize insights on local market conditions, regulatory developments, competitive landscape, and customer needs to inform Column’s regional strategy.
- Market expertise and network: Become an expert on the correspondent banking space in our key emerging markets and build an extensive network within their banking and fintech ecosystems.
- Drive operational excellence: Build scalable processes for onboarding, relationship management, and ongoing support that can be replicated as we expand.
WHAT YOU’LL NEED TO BE SUCCESSFUL
- 6+ years of experience in partnerships, business development, growth, operations or strategy in a high-caliber environment
- 4+ years of business experience specifically in CIS and Eastern European markets
- Native fluency in Russian and experience managing business relationships with Russian-speaking clients and stakeholders
- Track record of successfully managing complex partnerships and high-value deals with executive stakeholders
- Natural networker who thrives on building trust and long-term relationships with senior executives, market experts and decision-makers
- Strong strategic thinking - ability to assess market opportunities, evaluate potential partners, and provide strategic recommendations to senior leadership
- Hyper-organized approach to project management, including coordinating efforts across multiple teams; comfort juggling multiple projects and priorities is critical
- Scrappy, roll-up-your-sleeves attitude - we thrive because we work harder, are more creative, and have zero ego when it comes to getting our hands dirty to build a business
WE LOOK FORWARD TO HEARING FROM YOU
Column is committed to working with the best and brightest people from the broadest talent pool possible. We value bringing together a team with different perspectives, educational backgrounds, and life experiences, and believe a diversity of ideas is what allows us to develop the best solutions. All qualified individuals are encouraged to apply.
If you need assistance or a reasonable accommodation during the application and recruiting process, please reach out to accommodations@column.com.
We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here https://e-verify.gov.
Location: Tashkent, UZ
Workplace: Remote
ABOUT COLUMN
For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they rely on. We have spent our careers founding and scaling companies like Plaid, Square, Meta, Blend, and Affirm, and have seen this problem firsthand — builders and developers needing to partner with traditional banks, and creating API and abstraction layers over the patchwork that is the bank, its core, and many other vendors. All of this results in a complex (and often expensive) banking supply chain involving a user, fintech, BaaS middleware provider, bank, core and the Federal Reserve.
At Column, we set out to simplify and fix this. We are a bank and a software company built from the ground up, offering builders and developers technology-forward banking solutions that cut out the hundreds of vendors, middleware providers, and abstraction layers. This means a safer, more transparent, and less costly banking supply chain. Come build with us!
THE OPPORTUNITY
As Column’s Emerging Markets Lead, you will spearhead one of our most strategic international expansion initiatives. In this role, you will be responsible for driving 0-to-1 growth for a new banking product by building and nurturing relationships with prospective partners and customers in select markets, with a specific focus on Uzbekistan. This role combines global expansion strategy, business development with hands-on relationship management, requiring a general business athlete who thrives on networking and executing complex partnerships. This is a unique opportunity to be on the founding team for a new business line, with significant autonomy and direct impact on Column’s global expansion strategy.
This position will be based in Tashkent, with regular travel throughout the region and occasional travel to Column’s headquarters in San Francisco.
WHAT YOU’LL DO
- Lead regional market development: Own the end-to-end process of identifying, evaluating, and executing on high-value partnerships with banks across a number of international markets.
- Build and maintain key relationships: Serve as the primary relationship owner for prospective and existing customers, conducting regular in-person meetings, attending local industry events, and managing ongoing partnership development.
- Own partnership execution: Lead complex deal processes from initial outreach through contract signature, working collaboratively with Column’s Legal, Compliance, and Product teams.
- Develop market intelligence: Gather and synthesize insights on local market conditions, regulatory developments, competitive landscape, and customer needs to inform Column’s regional strategy.
- Market expertise and network: Become an expert on the correspondent banking space in our key emerging markets and build an extensive network within their banking and fintech ecosystems.
- Drive operational excellence: Build scalable processes for onboarding, relationship management, and ongoing support that can be replicated as we expand.
WHAT YOU’LL NEED TO BE SUCCESSFUL
- 6+ years of experience in partnerships, business development, growth, operations or strategy in a high-caliber environment
- 4+ years of business experience specifically in Uzbekistan markets
- Native fluency in Russian and Uzbek
- Track record of successfully managing complex partnerships and high-value deals with executive stakeholders
- Natural networker who thrives on building trust and long-term relationships with senior executives, market experts and decision-makers
- Strong strategic thinking - ability to assess market opportunities, evaluate potential partners, and provide strategic recommendations to senior leadership
- Hyper-organized approach to project management, including coordinating efforts across multiple teams; comfort juggling multiple projects and priorities is critical
- Scrappy, roll-up-your-sleeves attitude - we thrive because we work harder, are more creative, and have zero ego when it comes to getting our hands dirty to build a business
WE LOOK FORWARD TO HEARING FROM YOU
Column is committed to working with the best and brightest people from the broadest talent pool possible. We value bringing together a team with different perspectives, educational backgrounds, and life experiences, and believe a diversity of ideas is what allows us to develop the best solutions. All qualified individuals are encouraged to apply.
If you need assistance or a reasonable accommodation during the application and recruiting process, please reach out to accommodations@column.com.
We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here https://e-verify.gov.
Location: Madison, WI
As a full-service engineering, design, and construction services firm, Mi-Tech delivers comprehensive support for utility and infrastructure projects from planning and design through execution. Our multidisciplinary team provides practical, innovative solutions that emphasize cost efficiency, constructability, and long-term value. Founded in 1985, Mi-Tech has built a reputation for excellence in engineering, design, environmental, laboratory, technical, and field services across multiple industries. The 2026 merger with J.D. Hair & Associates further strengthened our capabilities and resources, adding decades of specialized expertise in trenchless, geotechnical, and structural engineering to our core offerings. As a proud member of the Michels Family of Companies, Mi-Tech collaborates with an internationally respected team to deliver integrated, end-to-end engineering, design, and construction solutions that meet the highest standards of quality and performance.
The Utility Construction Inspector is responsible for inspecting and monitoring utility construction projects involving natural gas, electric, telecommunications, and municipal infrastructure. This position ensures all construction activities comply with safety regulations, approved plans, specifications, and applicable federal, state, local, and company standards. The inspector serves as a third-party representative of the utility or facility owner and plays a critical role in protecting public safety, infrastructure integrity, and project quality.
Why Mi-Tech, Services Inc.?
We are committed to hiring the best people and giving them the best equipment
We are dedicated to the improving energy distribution & telecommunication services
Our steady, strategic growth revolves around a commitment to quality
We are family owned and operated
We invest an average of $5,000 per employee on training each year
We believe everyone is responsible for promoting safety, regardless of job title
We are a part of the Michels Family of Companies – one of North America’s largest, most diversified energy and infrastructure construction companies
Why you?
You like to surround yourself with dedicated, value-driven people
You are up to new challenges and opportunities
You cringe when you hear: “Because that’s the way we’ve always done it.”
You like to know your efforts are noticed and appreciated
You believe that individual commitment to a group effort is key to success
You want your work to make a difference in people’s lives
What it takes
Experience or knowledge in natural gas, electric, telecommunications, or municipal utility construction is preferred, but not required.
Strong understanding of utility safety practices, excavation standards, and damage prevention requirements.
Ability to read and interpret construction plans, specifications, and utility maps.
Comfortable working independently in the field and navigating multiple locations daily.
Proficient with mobile technology and electronic reporting systems such as ArcGIS -Survey123 and/or Field Maps is preferred, but not required.
Experience with GPS instruments such as Trimble and/or Topcon preferred, but not required.
Willing to travel Statewide.
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: United States (Remote); United Kingdom (Remote)
Workplace: Remote
About Teleport
Don't wait for the future of infrastructure. Be part of it.
Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence.
Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world.
About the Role
We are looking for product focused full stack engineers to work on Teleport itself. You will build the user interfaces and backend APIs to implement them for all parts of Teleport. You will work on the full product lifecycle from working with customers to understand their problems, writing RFDs for your proposed design, implementation, testing, and documentation.
Teleport is an open source project and most of the code you will write will be open source and written in Go (or Rust), TypeScript, React.
What You'll Do
- Making Teleport more efficient by adding server-side pagination and filtering capabilities https://github.com/gravitational/teleport/blob/master/rfd/0055-webui-ss-paginate-filter.md
- Making Teleport easier to use by designing experiences that guide the user through the setup and onboarding process.
- Building user interfaces that support our passwordless https://github.com/gravitational/teleport/blob/master/rfd/0052-passwordless.md vision.
What We're Looking For
- Go experience
- TypeScript and React experience
- Strong understanding of web security https://developer.mozilla.org/en-US/docs/Web/Security
How We Hire
- You will join 30 minute intro call and we will walk you through the compensation, interview process and requirements.
- You will join a 30 minute call with the hiring manager, and we will walk you through the take home exercise and help answer questions
- You join a Slack channel and submit a coding challenge in Go and TypeScript https://github.com/gravitational/careers/blob/main/challenges/fullstack/challenge.md using GitHub.
Why Teleport
You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for.
Remote-first and globally distributed, we're genuinely passionate about what we're building.
The Benefits
At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career.
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Investment in your future with retirement savings plans
- Professional development opportunities
Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law.
Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/
Location: Los Angeles, USA; Mercer Island, USA
Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As an Engineering Manager, you’ll guide an engineering team through all the phases of the software development and operations lifecycle. You’ll also serve as a people manager, mentor, and coach for the engineers, overseeing performance management, growth opportunities, and accountability.
The Core Game Loop owns services that power the player experience while they are in game and deliver data to downstream services after a game is completed. This includes game provisioning, game data delivery, and services that power leaderboards and match history. By concentrating expertise in game platforms, we are able to offer robust, scalable features to all current and future Riot games. As a
Manager, Software Engineering
on the Core Game Loop team, you will partner with the teams that create every Riot game, central technology teams, and teams in Tencent to ensure we are making excellent decisions, upholding a high quality bar, and operating efficiently in service of those players. You'll identify opportunities to centralize functionality and architect solutions that enable scalability and reliability worldwide. You will report to the Senior Engineering Manager of the Game Foundations org within the Publishing Platform.
Responsibilities
Manage a team of 5+ software engineers; coaching them, providing performance management, identifying growth opportunities, and ensuring positive results
Partner and collaborate with Product Leads, Delivery Leads, and Technical Leads within the team and within Game Foundations org to align on the plan the team executes against
Support the technical vision and roadmap by allocating engineers and skill sets to meet goals and deliver results
Own the interviewing and onboarding process for new engineering team members
Be accountable for the technical health of the products owned by the team
Stay hands-on with the team's tech, overseeing the technical design, and deliverables of the team and working with the team's technical leadership
Regularly engage with the codebase by participating in code reviews and non-critical tasks
Build healthy relationships with other engineering teams across Riot globally, in order to foster cross-team collaboration
Own and operate live services, meeting reliability expectations, handling emergent issues, and supporting engineers during on-call troubleshooting
Required Qualifications
Bachelor's or Master’s degree in Computer Science or a related field, or equivalent professional experience
5+ years experience as a Software Engineer, preferably on technical product teams that build tooling for services and APIs
2+ years experience directly leading an engineering team either as an Engineering Manager or Technical Lead
Experience managing engineers and actively participating in their growth and development
Experience recruiting candidates and growing an engineering team
Experience with distributed systems, microservices, and software at a high scale
Experience operating and maintaining live services, including handling emergent issues and on-call troubleshooting
Desired Qualifications
Experience building services using Java, Kotlin, or Go
Experience developing using cloud infrastructure (such as AWS, GCP), using containers and orchestration (such as Docker, Kubernetes), managed using infrastructure as code (such as Terraform, Ansible)
Experience with CI/CD pipelines (such as GitHub Actions, Jenkins)
Experience with relational databases (such as MySQL) and key value stores (such as Redis).
Experience with queuing or stream-processing platform (such as Kafka)
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Milwaukee, WI
If you like variety and challenge and take satisfaction from knowing your work supports modern construction, consider joining the Michels Construction, Inc., Our business spans across North America and, we approach each project with a desire to deliver the safe, high-quality, cost-effective work with minimal inconveniences to users. The heavy civil industry is broad, and so are our services. Our projects include Wharfs and ports, Dams, water resiliency, wastewater treatment plants, pump stations, bridges, railways, and more. Our work improves lives. Find out how a career at Michels Construction, Inc. can change yours.
As a Concrete Estimator your key responsibilities will be to evaluate bid specifications and drawings, attending pre-bid meetings, soliciting material and subcontractor quotes, and ensuring that everything required to successfully bid and win the project is accomplished. This position will also work with Project Management teams to follow-up on bids and budgets to close the business. It is essential to be forward thinking, performance driven and quality focused. Critical for success are the abilities to work independently and produce highly accurate work in a timely manner.
Why Michels Construction, Inc.?
We support dynamic and growing industries
We are family owned and operated
We invest an average of $5,000 per employee on training each year
We reward hard work and dedication with limitless opportunities
We are a part of the Michels family of companies – one of North America’s largest, most diversified energy and infrastructure contractors
We offer a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan. Depending on your positions and location you may participate in a different benefit plan.
Why you?
You thrive in fast-paced environments under tight deadlines
You relish new challenges and evolving technology
You enjoy collaborating and communicating with your teammates
You like to know your efforts are noticed and appreciated
You are a result driven individual who is self-motivated
What it takes:
Bachelor’s degree in construction management, or equivalent degree from a 4-year college or university, 3+ years of related heavy civil construction estimating experience, or equivalent combination
Proficient in Microsoft Office Suite
Working knowledge of estimating and scheduling software (HCSS, B2W)
Negotiation experience
Must posses a valid driver license for the type(s) of vehicles which may be driven and an acceptable driving record
Position requires around 25% travel for jobsite visits, pre-bid meetings, and pre-construction meeting
AA/EOE/M/W/Vet/Disability
https://www.michels.us/website-user-privacy-policy/
Location: Oakland, California, United States, AMER; USA - New York
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the role
Fivetran + dbt Labs is hiring a Senior Manager to lead the Product Design team responsible for dbt Labs. This role reports to the Director of Product Design.
This is an exciting time to join! As Fivetran and dbt Labs come together, you will help shape a coherent product experience, guide the design team through change, and influence the future of AI-powered data products. You will join a strong and talented design organization whose members care deeply about their craft, the practitioners they serve, and one another.
This is a people management and product leadership role for a design leader who wants to shape technical data products at scale. You will manage and develop a team of product designers, shape the UX strategy for dbt products, and partner with Product and Engineering leaders to define how data teams build, transform, govern, and trust their data. You will lead through strategy, coaching, direction, and cross-functional partnership.
What you'll do
Lead the dbt product design team
You will manage and coach a team of product designers who work across dbt platform and CLI-based products. Designers own the full design process from problem definition and research to UX/UI and partnering with eng/PM through delivery. You will build a culture where designers feel supported, challenged, and empowered to do thoughtful, high-quality work for deeply technical users. You will set clear expectations, give actionable feedback, support career growth, and create the conditions for strong design craft.
Own UX strategy for dbt
You will define and drive UX strategy across dbt’s product experience. You will identify the highest-impact experience opportunities, connect design priorities to product outcomes, and partner with Product and Engineering leadership as a strategic peer in roadmap and product direction conversations.
Provide design direction for technical data products
You will set direction for design work across complex workflows used by technical practitioners. You do not need to be an engineer, but you do need enough technical fluency to understand the domain, evaluate tradeoffs, and partner credibly with engineering leaders. You should be comfortable discussing data workflows, ELT, analytics engineering, developer tools, and infrastructure-oriented product experiences.
Shape AI and agentic product experiences
You will lead design strategy for AI-powered and agentic experiences within dbt. This requires more than adding AI features to existing workflows. You will help the team design systems that make AI assistance understandable, useful, and safe for high-stakes technical work. As dbt builds experiences where both humans and AI agents interact with the same data infrastructure, you will also think about how product surfaces need to work for both personas.
Help integrate Fivetran and dbt Labs design
You will play an important role in co-creating a unified product experience and design culture. This is a change-leadership role. You will partner with the Director of Product Design to merge systems, processes, and culture. You will help designers navigate a new organizational context, build strong cross-functional relationships, and create clarity during a period of product and company evolution.
Build an AI-native design operating model
You will operationalize AI across the design lifecycle (from research synthesis and ideation to prototyping, documentation, and design QA). You will establish shared workflows, quality standards, and review practices that help the team move faster without compromising product quality or consistency. In partnership with the Director of Product Design and Product and Engineering leadership, you will also define cross-functional standards for when AI-generated work requires design review, ensuring clear expectations for human oversight, quality, and continuous improvement.
What we're looking for
Required experience
You have 8+ years of product design experience and at least 5 years managing product designers.
Strong people management skills, including coaching, performance development, direct feedback, and team culture building.
Strong cross-functional leadership with Product, Engineering, Research, Data, Marketing, and executive stakeholders.
Deep care for craft, with a leadership style focused on direction, critique, strategy, and coaching rather than acting as the primary IC designer.
Designing for, or leading teams that design for, technically complex products such as ELT, data infrastructure, analytics engineering, developer tools, cloud platforms, data governance, observability, or adjacent enterprise infrastructure products.
Designing AI-powered or agentic product experiences. You understand the difference between a lightweight AI feature, a copilot, and an agentic workflow.
Experience operationalizing AI workflows for product design teams that goes way beyond AI prototyping. You have defined how designers use AI across the design lifecycle and have established the workflows, standards, review practices, and quality thresholds needed to make AI-assisted work effective at team scale.
Owning UX strategy for a meaningful product area. You can show how your design strategy influenced product direction, not just how your team delivered screens.
Strong technical fluency. You can reason about complex systems, understand engineering constraints, and discuss tradeoffs with Product and Engineering partners.
Experience designing for expert technical users such as data engineers, analytics engineers, software engineers, platform teams, or security teams.
#LI-DJ1 #LI-Hybrid
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$201,765
—
$252,206 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Amsterdam, Netherlands; London, United Kingdom
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're looking for a Senior Software Engineer to help us build Nebius Serverless AI — our GPU-native platform for deploying inference endpoints, batch jobs, and AI workloads without managing infrastructure. Customers run production AI on it today; the mission now is to make it the fastest, cheapest, most reliable place to ship GPU workloads on the planet.
This is a senior, high-ownership position on a fast-evolving service. You'll set the technical bar: own the architecture of the parts you ship, drive the hard design decisions, and raise the standard of everything around you through code reviews, design reviews, and the way you operate. The work is end-to-end — from cold-start latency in the runtime to the API contract customers integrate against.
You'll work from our office in Amsterdam or London, hybrid.
In this position, your responsibility will be to:
Design and build core components of the Serverless platform — the control plane, scheduler, runtime, autoscaler, and the APIs customers integrate against.
Own the hardest engineering problems on the service: cold-start latency, GPU scheduling under contention, multi-tenant isolation, fair-share quotas, request routing at the edge.
Set the technical direction for the areas you own — drive architecture decisions, write the design docs, and align the team behind the chosen approach.
Raise the engineering bar across the team through code reviews, design reviews, and example — the kind of senior presence that compounds.
Run the service like an SRE: define SLOs, build observability, lead incident response, and make sure every postmortem changes the platform, not just the runbook.
Work directly with customers on architecture reviews, performance escalations, and the production problems that don't fit a ticket template.
Partner closely with Product, GTM, and infrastructure teams to translate customer needs into a coherent technical roadmap.
We expect you to have:
7+ years of professional software engineering experience, with a track record of shipping production distributed systems at scale.
Excellent knowledge of Golang, or you are ready to quickly switch to it.
Deep experience with Kubernetes and container orchestration — you've operated it in anger, not just deployed it.
Strong distributed-systems instincts: consistency vs. availability trade-offs, queueing, backpressure, retries, idempotency, multi-tenancy.
Experience designing and operating high-throughput, low-latency services — you know where the milliseconds go and how to get them back.
A history of being the engineer others look to on hard problems — driving design discussions, unblocking teammates, and shipping the thing nobody else wanted to touch.
Ability to write reliable code and dig into complex problems.
Teamwork-oriented approach.
It would be an added bonus if you had:
Experience building serverless or function-as-a-service platforms (Knative, AWS Lambda, GCP Cloud Run, Cloudflare Workers, Modal, Replicate, Together, Fireworks, Anyscale, or similar).
GPU scheduling experience — Kubernetes device plugins, MIG, MPS, time-slicing, NVIDIA GPU Operator.
ML inference experience — vLLM, TensorRT-LLM, Triton Inference Server, SGLang, model loading and warm-pool strategies.
Cold-start optimization at the runtime, image, or snapshot level (FireCracker, gVisor, checkpoint/restore, image streaming).
Experience writing Kubernetes operators (Go + controller-runtime / kubebuilder).
Contributions to relevant open-source projects in the serverless, scheduling, or inference ecosystems.
We conduct coding interviews as part of the process.
#LI-ET3
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
УдалённоSingapore
seniorLagos, Nigeria
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