Location: Remote - Europe
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.
About the role
You own the company's identity provider: who signs in, from where, with which factors, into which applications — and how that access is granted, reviewed, and revoked.
Microsoft Entra ID is the primary identity plane and the center of gravity for the role. Google Workspace, Cloud Identity, and Google Cloud IAM form a secondary domain. Microsoft 365 is in scope for tenant, licensing, and access administration.
You are the escalation point for identity incidents from operations, security, service desk, and application teams — expected to resolve them, not route them onward.
What you'll own
Microsoft Entra ID and Microsoft 365
– Users, dynamic and assigned groups, administrative units, directory roles, service principals, workload identities.
– Conditional Access design and rollout: named locations, client app and platform conditions, session controls, sign-in frequency, break-glass exclusions, report-only staging.
– Authentication methods policy and phishing-resistant factors.
– Application onboarding over SAML 2.0 (NameID, claims mapping, signing certificate rollover, encrypted assertions) and OIDC / OAuth 2.0 (authorization code with PKCE, client credentials, device code).
– App registrations: redirect URIs, permissions, admin consent workflow, secret and certificate lifecycle.
– SCIM 2.0 provisioning: attribute mappings, scoping filters, expression transformations, quarantined jobs, drift reconciliation.
– Tenant consent settings, OAuth grant review, remediation of over-permissioned and stale applications; defensible controls for SaaS without SSO or SCIM support.
– Joiner-mover-leaver as an automated pipeline: provisioning, group-based licensing, revocation with session and refresh token invalidation.
– Least privilege for admin access: scoped role assignments, RBAC, PIM, access reviews, entitlement management access packages.
– Service account and workload identity governance: ownership, credential rotation, permission scoping, decommissioning.
– Microsoft 365 tenant settings, licensing, admin roles; access and permission issues in Exchange Online, SharePoint Online, Power Platform.
– Diagnostics from sign-in, audit, and provisioning logs, with diagnostic settings routed to Log Analytics and KQL queries.
– Cross-tenant access settings and B2B external collaboration.
Automation
– PowerShell tooling on the Microsoft Graph PowerShell SDK and Graph REST API: lifecycle, licensing, access reporting, recertification.
– Google-side automation through the Admin SDK Directory API, Cloud Identity API, and gcloud.
– Scheduled and event-driven workflows in Azure Automation Runbooks, Azure Logic Apps, or Power Automate.
– Unattended execution on managed identities and narrowly scoped app registrations, with credential rotation, structured logging, error handling, and retries.
– Automation treated as production code: version control, peer review, documented rollback.
What you'll bring
We care about what you can do, not which products appear on your CV. Concretely, you can:
– Decode a SAML assertion or JWT and pinpoint the failure — audience mismatch, NameID format, expired signing certificate, missing claim — without escalating to the vendor.
– Diagnose a failing SCIM job and tell scoping from attribute mapping, transformation expressions, or target schema.
– Replace a manual lifecycle process with automation that logs, retries, and can be handed to someone else to run.
Experience we expect
– 3+ years administering Microsoft Entra ID in production as a primary responsibility.
– Microsoft 365 tenant: settings, licensing, admin roles, Service Health
– Exchange Online: mailbox permissions, groups, mail flow, SPF/DKIM/DMARC
– Microsoft Defender: threat policies, quarantine, message trace
– Power Platform: environments, DLP connector policies, maker access
– PowerShell: Exchange Online module, Microsoft Graph SDK
– Enterprise applications, app registrations, consent and permission models, automated provisioning.
– Azure Automation Runbooks, Azure Logic Apps, Power Automate, or comparable platforms.
– Least privilege, secure administration, change management, and the discipline to leave configurations documented.
– Written and spoken English at B2 or higher.
Nice to haves
– SC-300, MS-102, or SC-401 — or equivalent demonstrable expertise.
– Microsoft Entra ID Governance: entitlement management, lifecycle workflows, Privileged Identity Management.
– Microsoft Purview (DLP, retention, eDiscovery), Microsoft Defender for Cloud Apps, or Microsoft Sentinel.
– Google Cloud IAM: projects, roles and policies, service accounts, API access, OAuth credentials.
– Google Cloud workload identity federation, custom roles, organization policy constraints.
– Git, CI/CD practices, Pester, Bicep, or Terraform.
– Access evidence for SOC 2, ISO 27001, or comparable audit cycles.
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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: Remote - Europe
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.
Your responsibilities will include:
Develop and maintain Python-based API integrations between our HR information system (HRIS) and business systems, including finance, travel, expense management, and recruiting platforms.
Build and maintain cloud-native services, web applications, and containerized workloads on Microsoft Azure.
Implement automation for system workflows, onboarding/offboarding, access-related processes, and data synchronization.
Create and maintain deployment pipelines and Infrastructure-as-Code with Terraform.
Own integrations through implementation, testing, deployment, and production support; respond to alerts and troubleshoot issues across APIs, Azure services, and data sources within agreed SLAs.
Implement safeguards for sensitive employee data, including validation, audit trails, and controls around mass changes.
Work with business stakeholders to clarify requirements and maintain technical documentation as part of each change.
We expect you to have:
3+ years of integration or backend development experience, including hands-on experience deploying and supporting production workloads in Microsoft Azure.
Practical experience with Azure compute and integration services. Our stack includes Azure Functions, App Service, Container Apps, Container Instances, Service Bus, and API Management.
Practical Python development skills, including maintaining and debugging existing services and automations.
Experience integrating REST APIs, webhooks, and Microsoft Graph API, with an understanding of pagination, rate limits, retries, and idempotency.
Experience working with CI/CD pipelines and Terraform for Azure deployments.
Good understanding of OAuth 2.0, Microsoft Entra ID, and managed identities for secure authentication and service-to-service access.
Experience designing and working with relational databases (PostgreSQL, MSSQL, etc.).
Experience with automated testing and diagnosing production issues through logs, monitoring, and alerts.
It will be an added bonus if you have:
Experience integrating HRIS or other business systems, such as ERP, expense management, or recruiting platforms.
Azure certifications (AZ-204, AZ-900, AZ-104).
Hands-on experience with Application Insights and Log Analytics.
Experience using AI-assisted development tools, with the ability to critically evaluate their output.
#LI-RK1
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.
Задачи:
- Работа с Java Core и Spring Framework (Spring Boot, Spring Data, Spring Cloud)
- Работа с базами данных (PostgreSQL, Oracle DB)
- Применение принципов микросервисной архитектуры
- Работа с Kafka, Docker, Kubernetes
- Работа со сборщиками Maven и Gradle
Требования:
- Опыт от 5 лет
- Будет плюсом: Java EE (JPA, EJB, JNDI, JMS, JTA)
- Опыт работы с Oracle/PostgreSQL
- Знание DevSecOps
- Будет плюсом: опыт в Big Data, ML, AI
- Будет плюсом: знание Groovy/Scala
- Будет плюсом: опыт с облачными платформами (AWS, Azure, GCP)
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Model Infrastructure team, you'll lead the design and development of the systems that power every AI request at Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient.
WHAT YOU’LL DO
- Lead the design and implementation of Harvey's Model Infrastructure platform.
- Build systems to ensure high availability, low latency, and operational excellence for AI inference.
- Design and improve Harvey's Unified Model Controller (UMC) and Model Selector platform to automatically detect model degradations and intelligently route traffic based on reliability, latency, quality, compliance, and cost.
- Develop systems for model provisioning, capacity management, failover, and traffic engineering across multiple AI providers.
- Integrate new model providers and maintain provider APIs and SDKs, enabling Harvey to rapidly adopt emerging frontier models.
- Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end telemetry.
- Partner with Product Engineering to support model launches, experimentation, and proactive monitoring of production AI workloads.
- Drive infrastructure efficiency through capacity planning, utilization optimization, and cost visibility.
- Collaborate with AI Research to build the infrastructure foundation for future model evaluation, training, and deployment.
- Lead cross-functional technical initiatives and mentor engineers across the organization.
WHAT YOU’LL BUILD
- Model Reliability & Operations
- Model health monitoring
- Automated failover and recovery
- Capacity provisioning
- Operational tooling and incident automation
- Unified Model Controller (UMC)
- Policy-based model routing
- Intelligent Model Selector
- Model health monitoring
- Traffic management
- Reliability and latency optimization
- Provider Platform
- Multi-provider architecture
- API and SDK integrations
- OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, and future providers
- Rapid adoption of new frontier models
- Observability & Cost Platform
- Token usage analytics
- Cost attribution
- Latency and reliability dashboards
- Capacity forecasting
- Utilization optimization
- AI Platform Foundation
- Infrastructure supporting model evaluation
- Model deployment and operations
- Future model training platform
- Agent infrastructure and CcaaS
WHAT YOU HAVE
- 10+ years of software engineering experience building large-scale distributed systems.
- Experience designing and operating highly available production services.
- Strong programming skills in Go, Java, Python, Rust, or C++.
- Deep understanding of distributed systems, cloud infrastructure, networking, and observability.
- Experience leading technical projects across multiple engineering teams.
- Ability to balance long-term architecture with pragmatic execution.
- Strong communication and collaboration skills.
- Passion for building foundational platforms that enable other engineering teams.
NICE TO HAVE
- Experience with AI infrastructure, LLM serving, or machine learning platforms.
- Experience with model routing, inference gateways, or policy-based serving systems.
- Experience working with OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source LLMs.
- Experience with Kubernetes, cloud infrastructure, and service mesh technologies.
- Experience with large-scale observability and SRE best practices.
- Experience with data infrastructure technologies such as Kafka, Spark, Flink, Airflow, or Iceberg.
- Familiarity with GPU infrastructure or model training platforms.
COMPENSATION
$236,000 - $340,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Amman, Jordan
We are looking to recruit Support & Implementation Engineers who will provide high-level onsite and remote IT technical liaison. The Support & Implementation Engineer will be responsible for enterprise solutions implementations and support services for incidents or issues. The position will require close collaboration with other technical support and engineering teams at different levels.
Responsibilities
Implement and install solutions at customer's infrastructure platforms.
Work onsite and offsite to troubleshoot and diagnose customer-reported issues on the different implementation layers.
Act positively and respond promptly to the customer’s requests/tickets.
Prepare, review and ensure the accuracy of technical documentation.
Conduct Preventive / Corrective Maintenance visits.
Perform any other job-related duties related to work.
Requirements
Bachelor's Degree in Information Technology, Engineering/Science, Computer application, or any related field.
At least 2 years experience in a similar field.
Willing to travel and work extra hours when needed.
Experience in database engines (Oracle, MS-SQL, and PostgreSQL).
Experience in operating systems (Linux and MS Windows).
Developed knowledge in cloud Infrastructure Orchestration Tools (Ex. Kubernetes, HashiCorp Nomad)
Working experience in application servers (Ex. Apache Tomcat, Oracle WebLogic, IBM WebSphere).
Knowledge and acquired skills of DevOps techniques including (CI/CD, Helm, Ansible)
Knowledge in Directory Services (AD & LDAP).
Excellent personal skills
Professional effective communication, verbal and written
Customer oriented mentality
Details oriented and a team player
Initiative and self-managed
Time management and result oriented
Experience in one or more of the below is a plus:
Experience in large enterprise environments with emphasis on payments, remittance solutions.
Experience in Cloud Computing, Virtualization Technologies, Storage, Network Infrastructure.
Implementation experience of High Availability & Disaster Recovery, Backup & Recovery Strategies.
Knowledge of PKI Infrastructure and Certificate Authorities.
Knowledge of database engines (MySQL and NoSQL Databases).
Knowledge of server and client operating systems (Linux Distros, MS Windows).
Knowledge in Object Storage management.
Knowledge of Security Authentication and Authorization Solutions (HashiCorp Vault and Keycloak).
Knowledge in Cloud-based Solution Infrastructure (AWS, Azure, Google Cloud, OCI, IBM).
Location: India; France; United Kingdom; Germany; The Netherlands
Workplace: Remote
ABOUT THE MANAGED POSTGRES TEAM
The Managed Postgres team is building a high-performance, reliable PostgreSQL service within ClickHouse Cloud. We give developers a familiar PostgreSQL experience, remove operational burden, and connect transactional Postgres workloads with real-time analytics in ClickHouse. The team owns provisioning, high availability, backup and recovery, upgrades, observability, performance, security, and developer experience.
ABOUT THE ROLE
We are looking for an Engineering Manager to lead the team building and operating ClickHouse Managed Postgres. You will combine people leadership, technical direction, product thinking, and operational ownership while maintaining the reliability customers expect.
You will report directly to Kaushik Iska, who leads the Managed Postgres organization. You will partner closely with Product, Design, Infrastructure, Security, Support, and engineering teams across ClickHouse.
WHAT YOU WILL DO
- Lead, coach, and grow a high-performing team through clear expectations, feedback, development, and direct performance management.
- Own outcomes across provisioning, fleet management, failover, point-in-time recovery, upgrades, observability, performance, and security.
- Turn customer and business needs into a multi-quarter roadmap with incremental milestones.
- Guide architecture and help senior engineers make explicit, sound tradeoffs.
- Raise operational quality across SLOs, on-call, incidents, maintenance, and automation.
- Work directly with customers and turn recurring pain into product improvements.
- Align dependencies, surface risks early, and keep execution predictable across a distributed organization.
- Hire the right mix of PostgreSQL, systems, infrastructure, reliability, and product engineering talent while fostering ownership and clear technical debate.
WHAT YOU BRING
- 8+ years in software engineering, including 3+ years managing engineers in infrastructure, databases, or developer platforms.
- Experience building and operating a customer-facing stateful service with demanding availability, durability, security, and performance requirements.
- Working knowledge of PostgreSQL or managed relational databases, including replication, WAL, high availability, recovery, upgrades, observability, or performance diagnosis.
- Technical credibility to engage deeply in architecture and incidents without owning daily implementation.
- A record of hiring, coaching, developing, and retaining engineers, including senior ICs.
- Strong execution judgment across ambiguity, parallel workstreams, risk, and long-term system health.
- A customer mindset, strong Product partnership, clear communication, and distributed-team leadership.
NICE TO HAVE
- Managed PostgreSQL, relational database, or cloud control-plane leadership
- PostgreSQL internals, extensions, replication, storage, performance, or database reliability depth
- AWS, GCP, Azure, Kubernetes, infrastructure as code, or multi-region experience
- Experience taking infrastructure from early adoption through general availability
- Open-source, technical writing, speaking, startup, or founder experience
WHY THIS ROLE
- Shape a strategic product at the intersection of PostgreSQL and ClickHouse.
- Lead a technical team where correctness, performance, reliability, and developer experience all matter.
- Influence the product, roadmap, operating model, and customer outcomes.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: United States
Workplace: Remote
We are looking for a Senior Solutions Engineer, Federal/Public Sector to join our Solutions Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with civilian, defense, and intelligence community agencies, guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them, often inside classified or air-gapped networks.
This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept inside a disconnected or classified environment and stepping back to translate a technical win into a business case a federal decision-maker will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the agency back into how Coder builds and sells.
WHAT YOU’LL DO
- Own the technical relationship with agency prospects through pre-sales, and efficiently manage towards a technical win
- Lead or support post-sales relationships and renewals when needed
- Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives, including in classified and air-gapped settings
- Install Coder on cloud (including GovCloud) and on-prem Kubernetes or VM infrastructure, up to and including air-gapped and disconnected networks
- Run proofs-of-concept that prove Coder’s value, including for agentic and LLM-powered development workflows, and accelerate deals
- Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their impact on mission delivery
- Serve as the agency’s voice, routing insights to Engineering and Product
- Log feature requests and issues in our public/private Git repositories
- Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation, including within classified networks
- Contribute pull requests to Coder’s documentation
WHAT WE’RE LOOKING FOR
- Active TS/SCI clearance with Polygraph required at time of hire; U.S. citizenship required
- Physically based in the DC / Maryland / Virginia (DMV) area, with ability to travel to customer sites as required
- Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling, ideally into federal, defense, or intelligence community customers
- Experience with AI tooling at both the user level and infrastructure level, including coding agents and assistants (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM), and the ability to speak credibly to how agencies evaluate and adopt them, including in classified environments
- Strong customer-facing skills that win trust with technical stakeholders and program offices
- Ability to translate technical hurdles into mission value in real time
- Understand agentic AI software development use cases and advocate passionately where appropriate
- Comfortable leading architecture demos and deep-dive troubleshooting sessions in secure, restricted-access environments
- Deep Linux fundamentals and comfort at the command line
- 3+ years hands-on with Docker and Kubernetes
- Experience with AWS GovCloud, Azure Government, or on-prem/air-gapped Kubernetes deployments
- 3+ years with Terraform or comparable infrastructure-as-code tooling
- Solid grasp of networking: ingress controllers, proxies, load balancers, and operating within DoD/IC network boundaries
- Startup-speed execution, ownership mindset, and a player-coach attitude
WHAT SUCCESS LOOKS LIKE
- You can walk into an ambiguous agency conversation, diagnose the real technical, security, and mission blockers, and design a proof-of-concept that proves value fast, even inside a classified network.
- You translate deep technical fluency, including on agentic and LLM-based development workflows, into a business case that resonates with program managers, security officers, and mission owners alike.
- Agencies leave your demos and PoCs with a clear, credible picture of how Coder fits their environment, their developers, and their AI agents, without compromising their security posture.
- You are as invested in winning the account the right way as you are in closing the current deal; you spot risks early, whether technical, security, or procedural, and loop in the right people.
- Your field experience feeds back into product and marketing, sharpening how Coder demos and sells into the public sector.
BONUS TACOS
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Success at both high-growth startups and larger software vendors
- Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Codex, or similar autonomous/semi-autonomous dev tools)
- Prior military, intelligence community, or federal civilian service background
- Experience with FedRAMP, DoD IL4/IL5, or ATO processes
- Background in CI/CD, DevOps, or developer-platform products
- Experience in platform engineering or developer platform teams
- Kubernetes, AWS, or related certifications
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: North America
Workplace: Remote
turbopuffer is looking for someone to build our partner program from scratch — the strategy, the integrations, and the first real revenue through it.
what you'll do:
- decide which partnerships are worth it — which CSPs, peers, SIs, and labs to pursue, and which to ignore
- own the relationship with cloud providers (GCP, AWS, Azure) and drive our marketplace listings from setup to real pipeline
- turn partnerships into a repeatable sales motion: co-selling, marketplace transactions, joint accounts
- get turbopuffer into the implementations that systems integrators are already running
- structure the deals and co-sell motions, and negotiate them with partner alliance teams
- work closely with engineering to fold partner needs back into the product
must have:
- technical — you're comfortable discussing APIs and cloud infra
- outcome-driven — you know a partnership only matters if it drives revenue, and you build toward that from day one
- owner — you can set partner strategy and structure deals, not just execute someone else's plan
- marketplace-minded — you understand CSP marketplaces as a sales channel, not just a listing
- independent — meetings aren't the goal. you navigate a large partner org, find the right people, and drive things to signed integrations and real revenue — no spec, no warm intro required
- typist — you can write well and explain complex ideas simply
- human — you build trust across companies and know when you're in over your head
nice to have:
- experience standing up technical partnerships, cloud alliances, or marketplace GTM at an infrastructure or developer-tool company
- hands-on experience with GCP, AWS, or Azure marketplaces (private offers, metering, co-sell programs)
- vector search, full-text search, or data infrastructure background
- comfort building demos, integrations, or lightweight tooling yourself
- you've closed co-sell deals without becoming the person who blames the partner when they slip
tpuf is hardcore & whimsical. we value:
- overstep > understep
- show > tell
- complexity is earned
- showing up as part of our customer's team
- making stuff easy to react to
Location: United Kingdom
Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it.
So, tell me about the company
Brainlabs is culture-first. You’ve probably heard other companies describe themselves as people, clients, or profit first – but we see people, clients and profit as the building blocks of our ecosystem. Culture powers all three and we know that when the ecosystem is balanced, we all win! That's why the culture we cultivate is a culture of winning together.
To learn more about what it’s like to be a Brainlabber, check out our
culture code.
What you do
Own day-to-day security operations: vulnerability management, connector and MCP approvals, threat model reviews and incident support
Run and extend our SecOps AI agents, which handle Mend triage, MCP assessment, documentation review and incident scribing
Make the security decisions the agents escalate, setting clear conditions rather than blanket blocks
Drive vulnerability remediation with our dev and platform teams, escalating when fixes stall
Keep security posture visible across GCP projects plus AWS and Azure, and partner with SEP2, our external MDR provider
Who you are
You have solid security operations experience, whether from security engineering, appsec or platform security
You know GCP properly: IAM, service accounts, logging and org policy. AWS and Azure familiarity helps
You can read code well enough to judge whether a SAST finding is real
You’re genuinely fluent with AI tooling and you build with it rather than around it
You write clearly, because most of what you produce is a decision someone else has to act on
You’re comfortable saying no with a reason and yes with conditions, and happy owning a function rather than working a queue
How you succeed
You have solid security operations experience, whether from security engineering, appsec or platform security
You know GCP properly: IAM, service accounts, logging and org policy. AWS and Azure familiarity helps
You can read code well enough to judge whether a SAST finding is real
You’re genuinely fluent with AI tooling and you build with it rather than around it
You write clearly, because most of what you produce is a decision someone else has to act on
You’re comfortable saying no with a reason and yes with conditions, and happy owning a function rather than working a queue
What happens next
We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.
Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities.
Thank you for your interest in Brainlabs! We look forward to getting to know you!
What happens next?
We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.
A note on our offices:
We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week.
Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!
For details regarding our data processing activities, please refer to our
Candidate Privacy Notice
Protect Yourself from Job Scams:
We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to
security@brainlabsdigital.com
. We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.
Location: Remote (USA)
At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo.
We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on.
Who you are
You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes.
You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline.
You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales.
You have an interest in and a curiosity about data platforms and the latest advances in data technology.
What you will be doing
Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles.
Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs.
Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in.
Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products.
Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse.
Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions.
Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise.
Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals.
Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought.
Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences.
Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work.
Why you should apply
You want to work with passionate and talented people who are always looking for ways to make things better.
You desire a work environment where respect, mutual trust, and egoless collaboration are paramount.
You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time.
You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring.
You want to work on products and accounts that have outsized impact and reach.
You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile.
You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company.
What you bring to the table
7-10 years of data engineering experience with at least 5 years in production Databricks environments, preferably in a consulting or client delivery context.
Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus.
Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes.
Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale.
Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles.
Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code.
Understanding of data modeling, schema design, and query optimization.
Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders.
Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions.
Above-average discipline and personal organization skills.
Obvious comfort with critique and peer review in the context of an iterative development process.
A demonstrated hunger for personal and professional growth.
A self-evident love and care for the craft of data engineering.
Bonus points if you…
Have worked with real-time streaming technologies (Kafka, Kinesis, etc.).
Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus.
Have experience in healthcare or fintech domains.
Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines.
Have experience with Java, Go, or Scala.
Have strong illustration skills for technical diagramming and data architecture documentation.
Speak, write, and/or educate publicly about data engineering topics.
Have contributed to open-source data projects.
Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals.
Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator.
What to expect
When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc).
Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete.
Compensation is $150,000 - $180,000
Additional information
We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.
Location: New York, NY (HQ); San Francisco, CA; Remote (US); Miami, FL
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
As an Enterprise Solutions Consultant at Ramp, you will be crucial in establishing and nurturing partnerships with potential customers in our Enterprise & Public Sector segments. You will be the primary technical liaison for conversations with strategic logo targets, including Fortune 500 and Government vertical prospects. This involves building trust and confidence through expert demonstrations of Ramp's products and a deep understanding of our customers' needs. Collaborating closely with Account Executives, Customer Success, and Engineering teams, you will prioritize and develop financial solutions for Ramp's key customers, ensuring that the product aligns with their evolving requirements. As a senior technical and financial expert, you will design integrated solutions, provide strategic advice to customers, and facilitate communication between internal technical teams and customers. Solutions Consultants drive customer success from deal evaluation to product activation, influencing product development to continually enhance Ramp's value proposition. This role requires strong accounting and finance acumen to educate on accounting features as well as deep API understanding to architect and build of custom solutions.
WHAT YOU’LL DO
- Deliver compelling, customized demos to Enterprise prospects by building tailored environments and telling stories that resonate with their unique needs and challenges
- Design and architect bespoke enterprise solutions for Fortune 500 companies and government agencies, aligning technical capabilities with strategic objectives
- Partner with Sales, Product and Partners to advocate for integration development in-line with customer needs
- Collaborate with Ramp Account Executives to showcase technical accounting features and benefits through customized product demos and workflow illustrations, promoting Ramp’s value proposition
- Develop tailored product solutions based on a deep understanding of integration and configuration options, ensuring effective alignment with customer needs
- Support Sales and Post-Sales teams in executing advanced technical and accounting implementations for Ramp
- Evaluate customer requirements for new opportunities—completing RFPs, leading technical discovery, and conducting use-case and ROI analyses to determine Ramp’s suitability
- Work alongside Product, Product Marketing, and Product Operations to create and maintain technical assets and an internal knowledge base of customer use cases and best practices
WHAT YOU’LL NEED
- 8+ years of experience in Solutions Consulting, Sales Engineering, or Solutions Architecture roles, with a focus on Financial consultancy, Value Engineering, SaaS implementation, API-driven solutions, and customer engagement, preferably in the financial technology space.
- Deep knowledge of enterprise accounting systems and financial operations, with a strong grasp of controllership priorities and finance workflows
- Extensive hands-on experience with API integrations, SFTP configurations, and the development of tailored technical solutions to meet complex customer needs
- Proven ability to influence and present to executive stakeholders—both virtually and in person, translating technical concepts into strategic value
- Skilled in navigating complex, multi-stakeholder sales cycles, partnering across departments to drive consensus and deliver successful outcomes
- Bachelor's degree in computer science, engineering, business, finance, accounting or related field
- Familiarity with core enterprise platforms, including IdPs, HRIS, and ERP systems, and their role in end-to-end financial and operational processes
- Expertise in accounting systems, controllership needs, and finance/accounting workflows
- Exceptional organizational and project management skills, with the ability to prioritize effectively in high-growth, fast-paced environments
- Proactive mindset, adaptability, and comfort in a fast-paced, high-growth startup environment
ADDITIONAL QUALIFICATIONS
- Familiarity with and or/experience in selling to the government vertical
- Familiarity with at least one programming language (Python, Java, SQL)
- Experience with data integration platforms and ETL processes
- Knowledge of cloud infrastructure (AWS, Azure, GCP)
- Understanding of enterprise authentication systems and security protocols
For candidates located in NYC or SF, the pay range for this role is $197,000 - $270,000. For candidates located in all other locations, the pay range for this role is $177,000-$243,000.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Singapore
Workplace: Remote
- The Role
As an Enterprise Solutions Architect at ClickHouse, you'll own the technical side of the sales cycle for enterprise accounts across Greater China. You'll engage with data platform engineers, architects, SRE, and the VP who owns the standard — and your job is to design something that satisfies all of them and then prove it at production scale.
This is a role for engineers who want the hard version of the problem: real scale, real constraints, and an incumbent to displace. Prior pre-sales experience helps but isn't required — technical depth is non-negotiable.
What You Will Be Doing
- Own the technical evaluation for enterprise accounts across Greater China — from discovery through POC or competitive bake-off, architecture sign-off, security review, and first production workload.
- Engage across a wider set of stakeholders than a single team: data platform engineers, architects, SRE, security, and the executive who owns the standard. Design solutions that hold up with all of them in the room.
- Design for production scale — sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and what happens when something fails at 3am.
- Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems, using benchmarks the customer's own team can reproduce.
- Own the migration plan — sequencing, dual-run, validation, and cutover — so the customer's team can see exactly how they get to production.
- Clear the security and procurement path: questionnaires, compliance artifacts, network and identity architecture, data residency requirements, and BYOC or private deployment requirements.
- Partner closely with Enterprise AEs to progress and close opportunities — you own the technical win, they own the commercial close. Build the TCO case against the incumbent/competition together.
- Advocate for customer needs internally with Product and Engineering — you're the voice of the technical buyer inside ClickHouse.
- Contribute reference architectures, benchmark harnesses, migration guides, and objection handling material that help the team scale what's working.
What You Bring
- Professional fluency in Mandarin and English, written and verbal. You can run a deep technical workshop in Mandarin and represent the same architecture to a global internal audience in English.
- Deep technical foundation in data infrastructure — built through experience as a data engineer, platform engineer, software engineer, DBA, or solutions architect.
- Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and with operating them, not just querying them.
- Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution, and a felt sense for where things break under load.
- Fluency across the modern data stack — Kafka and CDC pipelines, orchestration, object storage, BI tools, and at least one major cloud (AWS, GCP, Azure, Alibaba Cloud, Tencent Cloud) at architecture level.
- Experience running a technical evaluation against a named competitor and winning it, including designing the migration off the incumbent and the parts of it that are genuinely hard.
- Customer-facing experience with real stakes — pre-sales, consulting, technical account management, or a staff-level engineering role that put you in front of customers.
- Strong written and verbal communication. You can whiteboard with a staff engineer in the morning and present to a VP of Engineering in the afternoon.
- Comfort with longer cycles and more stakeholders. Enterprise evaluations don't close in three weeks, and you know how to keep one moving without letting it stall.
- Willingness to say ClickHouse isn't the right tool for a given workload when that's true.
Bonus Points for:
- Experience selling or supporting technical sales into the Greater China market
- Familiarity with the local cloud and data ecosystem (Alibaba Cloud, Tencent Cloud, Huawei Cloud) and how enterprises there build around it.
- Open source community experience, including engaging developer and engineering audiences in the region.
- Experience effectively working remotely in a global, distributed organization..
#LI-VR1
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new eligible team member who joins our company receives equity.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Ottawa; Toronto; Montreal
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why This Role?
We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on Canadian public sector and defence accounts. This is a highly specialized role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organizations.
You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Canadian federal departments, provincial agencies, Crown corporations, and defence organizations. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions.
In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government engagements.
Location: Ottawa required
Security Clearance: Active Top Secret clearance strongly preferred; candidates eligible and willing to obtain clearance will also be considered.
What You'll Do
Customer Program Leadership:
- Own end-to-end technical program delivery for Canadian public sector and defence customers, from initial deployment through production scaling
- Serve as the primary technical program point of contact for government customers, building trusted relationships with departmental CIOs, IT directors, and technical teams
- Translate complex government requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans
- Navigate government procurement processes, RFP responses, and contractual technical obligations.
Strategic Communication:
- Provide clear, timely, and objective communication across Cohere's engineering organization, customer stakeholders, and government leadership
- Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds
- Present technical roadmaps and status updates to senior government officials and departmental executives
- Represent Cohere's technical capabilities in sensitive government and defence contexts.
Complex Program Management:
- Create and manage project schedules that account for government timelines, security review processes, and ministerial approval cycles
- Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams
- Navigate risks unique to government deployments: privacy compliance, Algorithmic Impact Assessments, Treasury Board submissions, security authorizations
- Drive alignment between product development priorities and specific government requirements.
Technical Delivery & Execution:
- Ensure on-time delivery of AI solutions that meet government-grade security, privacy, accessibility, and performance standards
- Coordinate technical work across multiple teams: model customization, security hardening, integration with government systems, bilingual support
- Establish governance checkpoints appropriate for high-stakes government deployments
- Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments.
You May Be a Good Fit If:
Required Experience:
- 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery.
- Excellent executive communication and stakeholder management.
- Experience working with government, defence, or heavily regulated customers (public sector, defence contractors).
- Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements.
- Bachelor’s degree in a relevant field; advanced degree or technical certs a plus.
Technical Background:
- Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped)
- Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator
- Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders.
Government & Defence Acumen:
- Deep understanding of how government organizations procure, evaluate, and deploy technology
- Familiarity with Canadian government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications
- Understanding of defence and national security considerations in AI deployment
- Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset
- Eligible to obtain Canadian government security clearance (Top Secret preferred)
Nice to Have:
- Active Canadian government security clearance (Secret or Top Secret) - strong preference for active Top Secret clearance
- Bilingual (English/French) proficiency
- Background in or strong familiarity with Canadian defence, intelligence, or critical infrastructure sectors
- Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments
- Project management certification (PMP, PgMP) or government-specific methodologies.
Security Clearance Requirements
This role requires eligibility for Canadian government security clearance.
Strong preference will be given to candidates who currently hold an active Top Secret (TS) clearance, as this will enable immediate engagement with our most sensitive defence and national security customers.
However, we will also consider exceptional candidates who:
- Currently hold Secret clearance and are eligible for TS upgrade
- Do not currently hold clearance, but are eligible and willing to undergo the Top Secret clearance process
- Have a previous government security clearance that has lapsed
Please note that obtaining Top Secret clearance can take 12-18 months. Candidates without active clearance will work on non-classified public sector accounts while the clearance process is underway.
What Makes This Role Unique
This isn't typical program management—it's a highly specialized role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organizations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability.
If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
- Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
- Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin, TX
About the role
Cloudflare powers a large portion of the internet through its intelligent global network and rapidly growing developer platform. In this role within the Emerging Technologies & Incubation (ETI) department and Product Growth team, you will join a top-notch engineering team focused on building large-scale, high-performance applications and delightful user experiences. As an experienced, product-minded front-end or full-stack engineer, you will bridge product engineering and growth to translate product vision into polished code that directly impacts key business metrics and evolves our self-service properties.
Responsibilities
Experimentation & Growth:
Deliver customer-facing UI experiences and A/B experiments aimed at accelerating user acquisition, engagement, and retention through data-informed hypotheses.
Full-Stack Execution:
Architect scalable front-end solutions and build features end-to-end across the product lifecycle (front-end, back-end, IaC, system design, debugging, and testing).
Cross-Functional Collaboration:
Partner with product, design, and data/analytics teams to define outcome measurements, establish experimental frameworks, track behavior attribution, and shape product roadmaps.
Performance & Productivity:
Enhance application performance, code quality, security, and developer productivity across core properties.
Trust & Safety Compliance:
Work with cross-functional teams to ensure all product experiences comply with trust and safety principles.
Desirable Skills, Knowledge & Experience
Core Languages & Frameworks:
Proficiency in TypeScript/JavaScript for building reusable SDKs and UI components, alongside strong knowledge of HTML, CSS, and modern JavaScript ecosystems.
Serverless Architecture:
Experience building with high-scale serverless systems (e.g., Cloudflare Workers, AWS Lambda, Azure Functions).
Growth & Analytics:
Experience designing interfaces for business KPIs (onboarding, adoption), running A/B experiments, using feature flags/gating, and leveraging telemetry.
System Design & APIs:
Strong foundation in system design—balancing engineering excellence with visual aesthetics—and experience working with or designing RESTful APIs.
Development Workflows:
Background in building tools/frameworks to boost developer productivity, experience using modern AI/LLM augmented workflows, and a desire to thrive in a fast-paced environment.
Bonus Points
Familiarity with additional programming languages such as Go, Rust, or Python.
Prior experience as a Cloudflare user or hands-on experience dog-fooding Cloudflare products (e.g., Cloudflare Workers, Access, Zaraz, or cache configuration).
Experience with commercial analytics platforms like Google Analytics or Adobe Analytics.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: United States
Workplace: Remote
We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them.
This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells.
What you will be doing:
- Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win
- Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives
- Install Coder on cloud and on-prem Kubernetes or VM infrastructure
- Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals
- Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact
- Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product
- Track and report product issues and feature requests using Linear
- Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation
- Contribute pull requests to Coder’s documentation
What you bring:
- Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling
- Strong customer-facing skills that win trust with technical stakeholders
- Ability to translate technical hurdles into business value in real time
- Understand agentic AI software development use cases and advocate passionately where appropriate
- Comfortable leading architecture demos and deep-dive troubleshooting sessions
- Deep Linux fundamentals and comfort at the command line
- 3+ years hands-on with Docker and Kubernetes
- Experience with AWS, Google Cloud, or Microsoft Azure
- 3+ years with Terraform or comparable infrastructure-as-code tooling
- Solid grasp of networking: ingress controllers, proxies, load balancers
- Experience with AI tooling at both the user level and infrastructure level (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM) and the ability to speak credibly to how enterprises evaluate and adopt them
- Startup-speed execution, ownership mindset, and a player-coach attitude
Bonus tacos if you have
- (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!)
- Success at both high-growth startups and larger software vendors
- Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Devin, or similar autonomous/semi-autonomous dev tools)
- Background in CI/CD, DevOps, or developer-platform products
- Experience in platform engineering or developer platform teams
- Kubernetes, AWS, or related certifications
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
УдалённоRemote - Europe
География найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоseniorIndia; France; United Kingdom; Germany; The Netherlands
УдалённоseniorUnited States
География найма не уточнена
United Kingdom
УдалённоseniorRemote (USA); We encourage candidates from all backgrounds to apply and consider all qualified applicants
ГибридNew York, NY (HQ); San Francisco, CA; Remote (US); Miami, FL; Relocation expense coverage to NYC or SF (if needed)
УдалённоSingapore
ГибридOttawa; Toronto; Montreal; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
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