Location: The Netherlands
Workplace: Remote
ABOUT THE TEAM
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
- Strong frontend skills with TypeScript/JavaScript and React
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
- Experience building data-oriented interfaces and visualizations
#LI-remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new 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: Lisbon
Workplace: hybrid
Spin.AI is a global SaaS cybersecurity company that protects mission-critical data across Google Workspace, Microsoft 365, Salesforce, Slack & more. Our product — SpinOne — is a platform that combines SSPM, ransomware protection, DLP, backup & recovery for enterprise customers worldwide.
We're looking for a Backend Developer with strong Java and Spring Boot experience to join our engineering team.
You'll work on a large-scale cybersecurity SaaS platform, building new product capabilities, developing cloud integrations, improving platform reliability, and solving complex engineering challenges that directly impact enterprise customers worldwide.
This role is based in our Lisbon office in a hybrid format. If you are not currently in Portugal, we are open to remote work during the trial period, with relocation to Lisbon afterward.
🛠 Architecture
You'll be working on a distributed backend platform built around a
service-based architecture
with
30+ independently deployable services
.
Our backend ecosystem includes:
Java 19 & Spring Boot
Service-based architecture (30+ services)
Eureka Service Registry
REST APIs with OpenFeign
RabbitMQ for asynchronous communication
PostgreSQL
Shared databases for selected services
🚀 What You'll Build
You'll work on backend services powering SpinOne, including:
Backup & Recovery functionality
Google Workspace, Microsoft 365, Salesforce and Slack integrations
Enterprise access control and permissions
Audit logs and administration features
Data synchronization and processing pipelines
High-volume asynchronous workflows
Cloud storage integrations
Some of the upcoming engineering challenges include:
Building a new
Google Directory Backup
integration
Designing scalable data storage for Google APIs
Developing backup and restore processes
Supporting migrations to new third-party APIs (e.g. Microsoft Graph)
Making integrations resilient to API limitations, retries and partial failures
🤝 Responsibilities & Engineering Culture
After the onboarding period, you'll own features throughout their entire lifecycle.
This includes:
analyzing business requirements and identifying missing scenarios
discussing requirements with Product Owners
participating in technical planning and estimation
designing technical solutions together with the team
implementing features
writing and maintaining tests
participating in code reviews
fixing QA findings
supporting releases
monitoring production after release
investigating production issues and customer-reported defects
Our engineers are expected to take ownership, proactively suggest improvements, and actively participate in technical discussions.
📌 Must-have Requirements
4+ years of commercial backend development experience.
Strong experience with Java and Spring Boot.
Experience with Java 19.
Experience with MyBatis.
Strong knowledge of PostgreSQL.
Confident SQL skills.
Experience analyzing and optimizing query execution plans.
Understanding of indexes and database performance basics.
Experience with RabbitMQ or similar message brokers.
Experience with REST API development and integration.
Ability to work with complex product logic and enterprise-level workflows.
Good communication skills and ownership mindset.
English: Intermediate+.
🌍 Why Spin.AI
Work in a fast-moving, high-impact cybersecurity company recognized by
Gartner, Forrester, and G2
.
Work on a real product with real users and visible business impact
Work on an interesting and large-scale product
Solve complex, non-trivial security and engineering challenges
Opportunity to influence technical and product decisions
Trust from management and autonomy in day-to-day work
Strong, professional team with deep expertise
🎁 What we offer
Annual performance-based salary review
Annual performance-based bonus
Referral bonuses
Educational budget
Sport & hobby compensation
Medical insurance compensation
Company presents (birthdays, anniversaries, weddings, etc.)
Corporate travel parties twice a year
Location: United Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of the AI model team, you will drive innovation in post-training methodologies, with a special focus on agentic behaviors and tool use. Your work will refine pre-trained models so that they not only deliver enhanced intelligence and domain specific capabilities, but also learn to reason, plan, and autonomously invoke external tools to solve real world, multi step tasks and applications on edge devices (i.e., smartphones).
You will work on a wide spectrum of systems, ranging from streamlined, resource efficient agents that run on limited hardware to complex multi modal architectures integrating text, images, and audio, all optimized for tool augmented decision making.
We expect you to have deep expertise in large language model architectures and substantial experience in post-training for agentic workflows, including tool use fine tuning, function calling, and reinforcement learning from feedback on multi turn interactions. You will adopt a hands-on, research driven approach to developing, testing, and implementing new post-training algorithms that unlock goal directed behavior, self correction, and reliable tool invocation.
Your responsibilities include curating agentic training data (e.g., trajectories of tool use, reasoning chains, environment interactions), strengthening baseline performance, and identifying as well as resolving bottlenecks in post-training for tool augmented agents to achieve SOTA model quality. The goal is to build models that do not just know but also act, use tools, and adapt, pushing the limits of what agentic AI can achieve.
Responsibilities
Conduct end-to-end research and engineering initiatives to advance post-training of agentic and tool-use models to achieve SOTA results.
Drive broad, cross-cutting model improvements, including factuality, instruction adherence, tool/function use, multi-agent coordination, and reasoning calibration.
Design and enhance large-scale post-training systems, including data pipelines, training workflows, evaluation frameworks, and benchmark infrastructure.
Develop rigorous evaluation suites and diagnostic tools to assess model readiness for deployment.
Strengthen feedback loops from real-world product usage, incorporating both explicit and implicit user signals into post-training.
Collaborate with tooling, product, and training teams to improve the usefulness, reliability, and agentic capabilities of frontier models.
Closely liaise with research, engineering and cross-functional teams to determine which integrations are production-ready for inclusion in major model releases.
Degree in Computer Science, Machine Learning, or a related field; advanced degree (MS/PhD) preferred with a strong publication record in top-tier AI conferences.
Experience with multimodal post-training workflows and data pipelines, particularly for agentic systems and tool use.
Hands-on experience applying post-training at scale using distributed training frameworks (e.g., multi-node GPU environments).
Demonstrated experience improving model capabilities in areas such as reasoning, tool use, and multi-agent coordination that achieve SOTA results.
Proven track record of open-source contributions related to agentic systems or tool use (code, datasets, or models) on platforms such as GitHub or Hugging Face.
Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ECCV).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: United States
The Opportunity
Flosum is looking for a visionary Senior Salesforce Administrator who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce.
This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem.
We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first.
About Flosum
Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards.
Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match.
We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build.
What You Will Own
Product Vision & Strategy
Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva.
Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors.
Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for.
Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift.
AI & Innovation
Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management.
Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary.
Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents.
Customer & Market Insight
Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management.
Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions.
Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations.
Execution & Delivery
Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it.
Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination.
Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates.
Requirements
Who You Are
We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career.
7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms.
Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem.
Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products.
Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred.
You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable.
Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape.
Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance.
Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day.
Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it.
What Will Make You Exceptional in This Role
You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company.
You have worked at the intersection of DevOps and security/compliance in regulated industries.
You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics.
You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce.
You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend.
What We Expect in the First 12 Months
First 90 Days: Learn and Diagnose
Achieve deep fluency in Flosum's five product lines and their technical architecture.
Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points.
Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win.
Deliver your first product roadmap refresh with clear prioritization rationale.
Months 3-6: Ship and Win
Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability.
Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn.
Define the next generation of Flosum's AI capabilities and present a detailed execution plan.
Months 6-12: Scale and Lead
Drive measurable improvement in competitive win rates against Copado and Gearset.
Launch at least one net-new product capability that opens a new revenue stream or market segment.
Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement.
Benefits
Why Flosum
Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational.
Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem.
Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate.
AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next.
Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it.
Compensation & Benefits
Competitive base salary + performance bonus
Equity participation
Comprehensive benefits (health, dental, vision, 401k)
Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates
Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagements
If you live in San Ramon, CA this can be a Hybrid position, but we're open to fully remote in other locations.
Location: Europe
We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.
Currently, we are looking for a Lead Data Scientist for SpinLab.
Location: Remote
Job Type: Full-Time
ABOUT OUR CLIENT:
Spinlab helps slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. The company collects and processes data using advanced methods and technologies to provide clients with clear, actionable recommendations based on real metrics. SpinLab’s goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results.
Role Overview:
As a Lead Data Scientist, you will combine hands-on expertise, technical leadership, and product thinking to drive the development of scalable ML solutions.
You will play a key role in:
- Ensuring what we build drives business value
- Defining how we build (processes, standards, scalability, performance)
This role requires close collaboration with product and business stakeholders to translate complex problems into practical, high-impact solutions.
Responsibilities:
- Work closely with product and business teams to:
- Translate business problems into data science solutions or data analytics researches
- Define clear success metrics and KPIs
- Turn insights into actionable recommendations that impact revenue and player behavior
- Ensure all models and analyses are aligned with real business outcomes, not just technical performance
- Design, build, and deploy ML models (e.g., churn prediction, LTV forecasting, revenue uplift, player segmentation) from experimentation to production.
- Define and implement standardized, scalable DS/DA processes across the team:
- Model development lifecycle (design → validation → production)
- Code quality, documentation, and reproducibility
- Experimentation and evaluation frameworks
- Continuously improve delivery efficiency, reducing time from idea → production
- Identify opportunities to automate manual analytical workflows using AI/ML
Requirements:
- Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science,Economics, or a related quantitative field.
- 5+ years of experience as a Senior Data Scientist role/Lead role, leading both analytical and data science domain work.
- Strong SQL and Python skills; experience with large datasets, notebooks, reproducible analysis, and Git-based workflows.
- Solid knowledge of ML, statistics, experimental design, A/B testing, holdout evaluation, and business KPI analysis.
- Commercial experience with predictive modeling, classification, segmentation,forecasting, model evaluation, and business impact measurement.
- Experience with churn, uplift, LTV, retention, campaign analytics, or user behaviormodeling is a strong advantage.
- Strong analytical and problem-solving mindset; ability to find the story in the data:uncovering trends and explaining them in clear business terms.
- Commercial Experience working with large datasets and distributed computing tools(BigQuery, Spark, Hive, or similar).
- Solid understanding of experimental design and statistical testing (A/B testing,hypothesis testing, confidence intervals).
- Familiarity with causal inference techniques (e.g., Propensity Score Matching, Instrumental Variables, Difference-in-Differences, uplift modeling), and predictivemodeling techniques.
- English B2+
Will be a plus:
- Experience in gaming, gambling, fintech, e-commerce, subscription, or other user-behavior-driven products.
- Experience with BI tools such as Tableau, Looker, or Power BI.
- Product mindset: the ability to go beyond numbers and propose actionable solutionsthat make an impact.
Benefits:
- Work on meaningful data products and shape them with your vision.
- 25 vacation days + 15 sick days + 1 birthday leave.
- Budget for English classes.
- Budget for health insurance.
- Annual education & development budget.
- Remote-friendly culture with a small, dedicated team.
WHAT’S NEXT?
If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.
We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.
Location: New York City; San Francisco
Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals.
As an
Expansion Associate,
you will launch new Via markets around the world and ensure the success of the day-to-day management of our partner deployments, while gaining exposure to operations, entrepreneurship, product and business development.
This role requires a willingness to travel up to 40% of the time.
What You’ll Do:
Launch new Via deployments, take full ownership in ensuring every aspect of new deployments is executed on time at the highest possible quality
Contribute to the strategic decision-making, rigorous project planning, and entrepreneurial approach required to set up Via operations in a new market
Serve as the main point of contact for our partners, helping them develop and grow a fully operational on-demand transit system
Manage product expectations and development, ensuring that our engineering team is getting the feedback they need to build the best product possible
Tap Via’s in-house operational and marketing knowledge base to help partners get the most out our technology
Adeptly interpret and utilize mass quantities of proprietary data to generate insights and make business recommendations that will ensure success for our partner services
Who You Are:
Effective at managing multiple tasks simultaneously and comfortable taking on responsibility and working in an independent manner
Meticulous and vigilant, with a high level of attention to detail
Problem solver; you don’t accept the status quo and are always looking for creative solutions
Excellent communicator with a knack for always finding the right tone
Have a Bachelor's Degree and a record of exceptional academic achievement
Minimum of 0-2 years of work experience
Demonstrated record of entrepreneurial achievement and/or leadership a plus
Compensation and Benefits:
Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
Salary Range: $65,000-$85,000
We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching.
Ready to join the ride?
Via is an equal opportunity employer.
Location: Porto, Portugal
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
Join our company as Security Engineer (all genders) and become part of an agile team designing, building, and improving security features across the TeamViewer product line and its supporting infrastructure.
These will be some of your responsibilities:
Design and implement security controls and mechanisms directly in our products, with a strong focus on secure-by-design principles.
Identify, analyze, and mitigate vulnerabilities through threat modeling, security reviews, and hands-on testing (including aspects of offensive security).
Collaborate closely with development teams to integrate security into the SDLC, from design to deployment, and improve existing security architectures.
Drive the implementation of technical solutions to detect and prevent abuse scenarios in TeamViewer products.
Contribute to security-related automation, tooling, and processes to scale security across engineering teams.
Act as a security consultant for product and engineering teams, helping them make risk-informed design and implementation decisions aligned with the overall security strategy.
Participate in applied AI security initiatives, focusing on securing AI-driven features and leveraging AI to improve security capabilities.
Prepare and deliver secure coding trainings, workshops, and guidance to development teams.
Requirements
Degree in computer science or security or equivalent working experience
Ideally 3+ years professional experience in a similar position, specifically focused on security issues
Strong interest and understanding of security aspects of AI usage in Software Development process
Knowledge of C++ and at least a basic understanding of other programming languages such as Java, C# or Go
Good foundation in web architectures as well as scalable distributed systems
Experience in implementing encryption, cryptography, software security and authentication, both in the field of software development and the design of network protocols.
Passion about finding secure, innovative and user-friendly solutions for highly complex problems
Experience in mentoring, consulting and guiding other developers and teams of developers in building secure solutions
Experience and interest in working in distributed teams
Fluency in English is mandatory, further languages such as German are a plus
What we offer
Onsite Onboarding
in our HQ office for an optimal start
Great compensation and benefits packages
including company achievement bonus or sales bonus and regular salary reviews
Public transport friendly
offices
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid
and
Flexible
work time with up to 50% home office
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: Manila, Philippines
Role Overview
We are looking for a creative, hands-on Python / AI Solutions Full-Stack Developer to help design, build, and deploy AI-powered solutions for customers. This person will work across the full delivery lifecycle: understanding customer needs, designing technical approaches, building Python services and full-stack applications, integrating with third-party systems, and delivering reliable solutions that create measurable business value.
The ideal candidate is comfortable moving quickly in a small team, thinking creatively through ambiguous problems, and connecting AI capabilities with real-world systems through APIs, MCP, data workflows, and modern application development.
Key Responsibilities
Design, develop, and deploy Python-based AI applications, automation workflows, and customer-specific software solutions.
Build full-stack applications, including backend services, frontend interfaces, databases, authentication flows, and deployment pipelines.
Create, consume, and maintain APIs, including REST, GraphQL, webhooks, SDK-based integrations, and enterprise authentication patterns such as OAuth.
Develop and integrate Model Context Protocol (MCP) servers, tools, resources, and client workflows that connect AI systems with external applications and data sources.
Translate customer requirements into practical technical designs, prototypes, proofs of concept, and production-ready implementations.
Integrate AI solutions with customer systems such as CRMs, ERPs, ticketing platforms, data warehouses, collaboration tools, and custom internal applications.
Work with LLMs, agentic workflows, retrieval-augmented generation, structured outputs, prompt orchestration, and evaluation approaches where appropriate.
Collaborate closely with product, engineering, customer success, and leadership in a small-team environment where ownership and flexibility matter.
Write clean, maintainable, well-tested code and contribute to reusable components, integration patterns, and internal technical standards.
Participate in customer demos, technical discovery conversations, solution reviews, and post-deployment support as needed.
Required Qualifications
Strong professional experience with Python and modern backend frameworks such as FastAPI, Flask, or Django.
Full-stack development experience, including JavaScript or TypeScript and a modern frontend framework such as React, Next.js, Vue, or similar.
Proficiency designing and integrating APIs, including authentication, authorization, pagination, rate limits, error handling, and observability.
Hands-on experience with MCP or comparable tool/plugin protocols used to connect AI assistants, agents, and applications to external systems.
Experience building AI-enabled applications using LLM APIs, orchestration frameworks, vector databases, RAG patterns, or agent-based workflows.
Solid understanding of databases, including SQL and at least one NoSQL or search/vector-oriented data store.
Experience with Git, Docker, automated testing, CI/CD concepts, and deploying applications to cloud or cloud-adjacent environments.
Ability to break down ambiguous customer problems and propose creative, practical technical solutions.
Strong communication skills and comfort explaining technical tradeoffs to both technical and non-technical stakeholders.
Preferred Qualifications
Experience with cloud platforms such as AWS, Azure, Digital Ocean, or Google Cloud, especially serverless, containerized, or managed AI services.
Experience with AI platforms and tooling such as OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, semantic search, embeddings, or evaluation frameworks.
Background integrating with common business platforms such as Salesforce, HubSpot, ServiceNow, Jira, Confluence, Slack, Microsoft 365, Google Workspace, or custom enterprise systems.
Experience with data engineering, ETL/ELT, workflow automation, event-driven systems, or queue-based architectures.
Familiarity with security, privacy, and governance considerations for customer-facing AI solutions.
Consulting, agency, startup, or customer-facing software delivery experience.
What Makes Someone Successful in This Role
Creative problem-solver who can move from idea to prototype to production without needing a large team around them.
Systems thinker who understands how APIs, data, user experience, and AI capabilities fit together.
Comfortable with ambiguity, changing requirements, and fast iteration based on customer feedback.
Pragmatic builder who balances innovation with reliability, maintainability, security, and cost.
Collaborative teammate who communicates openly, shares context, and helps raise the technical bar for the team.
Representative Technology Stack
Python, FastAPI/Flask/Django, JavaScript/TypeScript, React/Next.js, REST/GraphQL APIs, MCP, Docker, Git, SQL, NoSQL, vector databases, LLM APIs, cloud services, CI/CD, and modern integration tooling.
Working Style
This is a hands-on role in a small team. The right person will be expected to contribute across architecture, coding, integration, troubleshooting, customer communication, and delivery. They should enjoy building useful AI solutions in the real world, where creativity, technical judgment, and follow-through matter as much as raw coding ability.
Your partner for AI, consulting, software development, and nearshore staffing.
Location: Germany
Workplace: Remote
ABOUT THE TEAM
The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.
WHAT YOU WILL DO
- Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
- API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
- Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
- Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
- Oncall: Participate in the daytime oncall rotation along with the rest of the team.
- UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds.
WHAT YOU WILL BRING ALONG
- 5+ years of software engineering experience in production environments
- Exposure to working directly with AI/ML technologies
- A high level of ownership and can drive features from concept to production with minimal supervision
- Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
- Strong frontend skills with TypeScript/JavaScript and React
Nice to have
- Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
- Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
- Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus
- Experience building data-oriented interfaces and visualizations
#LI-remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new 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: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Senior Software Engineer
- Location: Espoo
- Department: Engineering
- Reports to: Engineering Lead, Orbit Control
- Employment type: Permanent
- Workplace model: Office / Hybrid
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
As a Senior Software Engineer, you’ll help keep ICEYE’s world-leading SAR satellite constellation operating safely and reliably. Working in the AOCS domain, you will take technical ownership of Orbit Control software that helps ensure our satellites are exactly where they need to be to fulfil their mission. Your work will directly affect the performance, reliability, and quality of the SAR data ICEYE delivers to customers.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Take technical ownership of the Orbit Control codebase, primarily written in Python, ensuring it is robust, maintainable, and operationally reliable
- Design, implement, test, deploy, and maintain ground segment software to control the orbits of our satellites
- Build and maintain verification and validation procedures for Orbit Control software in close collaboration with operations teams
- Debug system anomalies systematically and identify root causes to prevent recurrence
- Improve telemetry data analysis, processing, visualization, logging, monitoring, and alerting capabilities
- Collaborate with orbital mechanics experts, mission teams, Staff Engineers, and Engineering Leads to translate operational needs into high-quality software solutions
- Define and promote strong software engineering practices, including automated testing, CI/CD, and operational monitoring
- Mentor junior engineers and contribute to the technical direction of the team
WHAT WE’RE LOOKING FOR
MUST HAVES:
- Proven experience across the full software lifecycle, including designing, building, testing, deploying, and maintaining production software
- Strong experience with operationally critical or high-reliability software systems
- Expertise in systematic root-cause analysis, diagnostics, monitoring, and debugging of distributed systems
- Ability to evaluate technical options rigorously and guide teams toward well-considered engineering decisions
- Strong understanding of software engineering practices such as automated testing, CI/CD, observability, and operational monitoring
- Ability to lead complex technical initiatives, mentor engineers, and influence technical direction
- Strong collaboration and communication skills in cross-functional technical environments
NICE TO HAVES:
- Experience with Kubernetes or similar orchestration systems
- Experience working with spacecraft operations, orbital mechanics, AOCS, or mission-critical aerospace systems
- Experience building tools for telemetry analysis, visualization, logging, alerting, or operational insight
APPLICATION PROCESS
- Talent Acquisition screening (remote)
- Hiring Manager interview (remote)
- Take-home task and technical interview (remote)
- On-site Systems Design Workshop
- On-site Behavioural Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Warsaw, Poland
JetBrains
creates professional tools that make developers more productive and help them focus on what matters. Our websites and web services are a core part of the JetBrains ecosystem. They connect us with users worldwide, power product distribution, support learning, and enable feedback loops at scale.
We are currently looking for a
Software Developer
to join our
Web Development team
. The ideal candidate will be someone who can take ownership of services end-to-end, from architecture and implementation to deployment and long-term support.
In this role, you will:
Design and develop internal company-wide web applications and services.
Participate in the creation of solution architecture, from selecting approaches to decomposing services and defining their interactions.
Build and maintain services running in AWS and Kubernetes-based environments.
Develop tools and platforms for localization workflows and integrate them with third-party systems.
Improve the reliability, scalability, and observability of our systems.
Collaborate with other teams to evolve shared infrastructure and internal platforms.
We’ll be happy to have you on our team if you have:
Strong 3- 5 years experience in backend web development using Kotlin or Java.
Experience with Node.js.
A solid understanding of modern backend frameworks (e.g. Ktor and Spring).
Experience designing and building production-grade systems.
An understanding of distributed-system fundamentals (e.g. networking, fault tolerance, and scalability).
Experience working with cloud environments (AWS or similar).
Familiarity with containerization and orchestration.
The ability to write clean, maintainable, and well-structured code.
A willingness to take ownership of systems in production (including by offering support and assisting with continuous improvement).
Good communication skills and a collaborative mindset.
We would be especially thrilled if you have:
Experience with infrastructure as code (e.g. Terraform).
Experience with CI/CD pipelines and deployment automation.
Experience with observability tools (e.g. metrics, logging, and tracing).
Practical experience using AI tools or agents in development workflows.
Why join JetBrains?
Strong base salary. We offer competitive pay that reflects your skills and experience.
Flexible work location. Enjoy the freedom to work from home or from the office.
Remote work. Spend up to 30 days per year working remotely from abroad.
Extra time off. More days to relax, recharge, and do the things you love.
Medical insurance allowance. Enjoy peace of mind for you and your family
Learning and development opportunities. Access to conferences, courses, and language classes.
Relocation support. We help make your move as smooth and stress-free as possible.
Language classes. Pick up the local language or sharpen your English skills.
Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
Mental health support. To help you feel your best, we provide easy access to professional mental health services.
Sports benefit. Enjoy an on-site gym or sports club stipend.
Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
#LI-MP1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Location: Tunis, Tunisia; Cairo, Egypt; Casablanca, Morocco; Beirut, Lebanon
About Müller's Solutions:
Müller's Solutions is a leading SAP consulting company dedicated to delivering innovative and effective SAP solutions to clients worldwide. Our focus is on empowering businesses through advanced analytics and cloud technologies.
Job Overview:
We are seeking an experienced SAP Analytics Cloud (SAC) Consultant to work remotely. In this role, you will be responsible for designing, developing, and deploying SAP Analytics Cloud solutions to enable data-driven decision-making for our clients. You will collaborate with cross-functional teams to gather business requirements, create dashboards, perform data modeling, and deliver actionable insights.
Requirements
Requirements:
Bachelor's degree in Computer Science, Data Analytics, Information Systems, or a related field.
Minimum 3 years of experience working with SAP Analytics Cloud.
Proficiency in data modeling, visualization, and dashboard creation using SAP Analytics Cloud.
Experience integrating SAP Analytics Cloud with various SAP and non-SAP data sources.
Strong analytical and problem-solving skills.
Excellent communication skills and the ability to collaborate effectively in a remote work environment.
Familiarity with data preparation, ETL, and data governance best practices.
SAP Analytics Cloud certification is a plus.
Location: State of São Paulo
Own end-to-end data pipelines and migrations on Azure; ship reliable, production-ready data solutions, collaborate across teams, and ensure data accuracy.
We are seeking a Data Engineer to join our product development team. In this role, you will design, build, and support data migrations, pipelines, and APIs that power web and mobile software applications.
You will work closely with engineers and stakeholders in a collaborative, fast-paced environment. This is a hands-on technical role focused on delivering reliable, production-ready data solutions.
This role focuses on building data solutions that support core business operations and application workflows, not analytics or data science use cases.
What You’ll Do
Collaborate with engineers to design and execute data migrations between systems
Perform data mapping, transformation, validation, and reconciliation
Ensure data accuracy and completeness across environments
Build and maintain production data pipelines and APIs
Develop scripts and services for data movement and validation
Model data and analyze source and target schemas
Write complex SQL queries and work with relational and NoSQL databases
Identify and resolve data quality issues during migration
Support the full lifecycle of delivery: design, development, deployment, testing, monitoring, and ongoing support
Contribute to discussions around data quality, test strategy, and automation
Integrate and manage data flows across multiple systems and applications
Design and implement data models that reflect business logic and support application use cases
Design and execute complex data migrations between systems, ensuring data integrity and consistency
How You’ll Succeed
Deliver stable, well-tested data pipelines and migration solutions
Write clean, maintainable production code
Maintain strong attention to detail when handling data transformations
Communicate clearly with technical teammates and stakeholders
Thrive in a collaborative, service-oriented environment
Who You Are
3+ years of experience in a Data Engineering role.
Experience working with transactional or financial data is a plus
At least 5 years of experience delivering production software solutions
Proficient in Python with experience shipping production pipelines
Strong hands-on experience with SQL and NoSQL databases (SQL Server and MongoDB preferred)
Experience building scripts or services for data movement and validation
Familiar with Azure data tools (such as Azure Data Factory, Azure Data Lake, Microsoft Fabric) or comparable platforms
Experience using Git or other distributed version control systems
Familiar with automated deployments and continuous delivery practices
Solid understanding of REST APIs, JSON, testing, security, and performance best practices
Bachelor’s degree in Computer Science or related field, or equivalent experience
Strong verbal and written communication skills
Position Details
Remote:
Fully-remote
Location:
State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, Belize City, San Salvador, Toronto, Mexico City, Managua, Panama City, Milton
Your partner for AI, consulting, software development, and nearshore staffing.
Location: Lappeenranta, Finland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The role
We’re looking for a
Datacenter L2 IT technician
to troubleshoot and solve data center IT hardware issues. This is a position for a technical expert working at the intersection of multiple technical and operational domains.
Position is full time day shift.
Your responsibilities will include:
Solve the challenging hardware related issues with servers, involving in-depth advanced level troubleshooting
Involved in hardware problem management, workarounds and solutions
Solve proactively L1/L2 tasks through ticket system
Update new processes and documentation for IT hardware team
Collaborate with L3 Technician to improve SLA with complex diagnostics
Improve support processes, documentation and training materials
Basic level of network tasks, troubleshooting and support
We expect you to have:
Knowledge of datacenters, and server equipment
Advanced knowledge of IT hardware and practical experience of troubleshooting
Advanced skills working with the Unix/Linux operating system and command line
Experience with equipment monitoring, data analysis and presentation
Proactiveness and sense of responsibility
High proficiency in spoken and written English
It will be
an added bonus
if you have:
Knowledge of network equipment and troubleshooting in advanced level
Driving license type B
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: Lappeenranta, Finland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
New data center development:
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
The role
As an
IT Datacenter Technician
, you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the advanced H200 GPU cloud cluster. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems. Your responsibilities will include troubleshooting and resolving hardware issues, performing hardware and network diagnostics, ensuring the smooth operation of critical systems, and carrying out physical repairs. The role may also involve travel between data centers and participation in on-call rotations.
Please note that this is a
shift work (day & night shift).
Your responsibilities will include:
Monitor and support the IT infrastructure to ensure optimal performance and uptime.
Diagnose and resolve issues related to server and network hardware within the data center.
Perform installation, upgrades, and decommissioning of IT hardware in accordance with operational requirements.
Manage and maintain fiber optic and patch cable connectivity.
Handle Return Merchandise Authorizations (RMAs) in compliance with company procedures and documentation.
Collaborate with internal teams to resolve technical and operational issues.
Maintain and update documentation, manuals, and procedures related to hardware configuration, troubleshooting, and maintenance.
We expect you to have:
Solid understanding of server and networking equipment.
Practical, hands-on experience with server hardware, network switches, and fiber optic cabling.
Proven ability to diagnose and resolve hardware-related issues.
A proactive, responsible, and results-driven work attitude.
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: Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
Voodoo Ad-Network is an autonomous product of around 30 people that carries the ambitious mission of providing ad network services. One goal is to leverage Voodoo’s first-party data to improve Voodoo’s monetisation. Moreover, the product is growing through new ventures like opening up to external inventory, reaching the external-advertisers market and social-network monetisation through BeReal’s recent acquisition. Thanks to promising results, our ambition is now to scale up the team to support growth.
The Ad Experience team owns the end-to-end quality of the ads delivered by our network, from ad rendering to data collection. It has a strong focus on viewability, tracker integrity and the diagnostic signals that feed our Machine Learning models. It’s composed of mostly senior Software Engineers, Mobile Developers, QA Engineers and Full Stack Engineers who iterate together to detect issues quickly, improve the user-side ad experience and protect the quality of the data flowing back into the product.
ROLE
We’re looking for an Experienced Data Analyst to join our Engineering & Data team. In this role, you will:
- Work on end-to-end data projects with the Ad Experience squad to improve ad delivery quality, reduce ad-load and rendering failures, and maintain a high data quality.
- Monitor SDK diagnostic events and build alerting, anomaly detection and root-cause analyses on top of the Ad Experience datasets.
- Build data collection and transformation pipelines, and actionable dashboards.
- Analyze large, complex data sets with billions of events representing the behaviour of mobile game players and of our ad network to investigate ad-quality regressions, attribution discrepancies and SDK rollouts.
- Design solutions from scratch, iterate quickly, create POCs, and deploy to production rapidly.
- Occasionally leverage Python skills and Statistics skills to support A/B tests on ad-experience changes
PROFILE
- You possess substantial experience in analytical roles, ideally within a web or mobile company or the tech or ad tech industry.
- You are highly skilled in SQL and have a proven track record of building production-ready pipelines that handle large and complex data sets.
- You have solid experience in ETL development.
- You have solid experience with DBT.
- You have practical experience with Tableau or another standard dashboard platform, and can create dashboards that are shared company-wide, facilitating data-driven decision-making across departments.
- Advanced knowledge of statistical tools and models will be considered a significant advantage.
- Development skills, particularly in Python, will be considered a significant advantage
- You enjoy working in a fast-paced environment and are able to balance the tradeoff between time-consuming development and rapid results.
- You have a solid problem solving mindset as well as a great track record demonstrating ownership and ability to come up with innovative ideas.
- A BA/B.Sc degree in Statistics, Math, Engineering, Economy, or other quantitative fields is mandatory for this role.
OUR STACK
- DBT; Tableau; SQL; Athena; Spark; Python
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote Fridays
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Robotics Test Engineer to support software release validation, policy evaluations, and end-to-end metrics collection on our humanoid robots. You will work alongside our Test Team, owning day-to-day execution and growing into deeper HIL and automation responsibilities.
This is not a standard web-QA role. You will be running tests on real robots, comparing simulation against reality, and helping us build the data pipeline that tells us whether each new software version is ready to ship.
WHAT YOU'LL DO
SOFTWARE RELEASE TESTING
- Release Validation: Execute the end-to-end test pipeline for each new software release, ensuring quality gates are met before the build is deployed to the fleet.
- Regression Coverage: Run automated and manual regression suites against new builds; triage failures and route them to the right owner.
- CI/CD Participation: Contribute new tests to our CI/CD pipeline (GitLab CI, GitHub Actions) so that regressions are caught immediately after code merges.
2. POLICY EVALUATIONS
- Eval Support: Help design and run policy evaluations for our learned behaviors — defining success criteria, executing trials, and collecting results in a reproducible way.
- Simulation: Run policy evaluations in simulation environments (Gazebo, NVIDIA Isaac Sim) in parallel with physical robot tests.
- Sim-to-Real: Track differences between simulation and physical robot results and feed findings back to the policy team.
3. E2E METRICS COLLECTION
- Metrics Pipeline: Support the collection of end-to-end performance and reliability metrics across releases, building consistent reporting the org can trust.
- Dashboards: Help maintain dashboards that highlight pass/fail rates, latency, and performance trends release-over-release.
- Data Hygiene: Keep test data clean and well-labeled so that long-term trends remain meaningful as the platform evolves.
WHAT WE'RE LOOKING FOR
- Experience: 3+ years in software test engineering or test automation, ideally with some exposure to robotics, embedded systems, or another physical-systems domain.
- Coding: Strong proficiency in Python for scripting and test automation. Comfortable reading C++.
- Robotics Middleware: Working knowledge of ROS2 — you understand topics, services, and how to interact with a running robot.
- OS: Comfortable in Linux (Ubuntu) — terminal, shell scripting, basic system administration.
- Mindset: Methodical and curious. You enjoy finding the one weird edge case that breaks the build.
Nice-to-Have:
- Experience with robotics simulators (Gazebo, NVIDIA Isaac Sim, Unity).
- Exposure to Hardware-in-the-Loop (HIL) test benches.
- Basic electrical debugging skills (multimeter, oscilloscope).
- Awareness of safety-critical standards (IEC 61508, ISO 26262).
TECH STACK
- Languages: Python (primary), C++ (reading), Bash
- Robotics: ROS / ROS2
- CI/CD: GitLab / GitHub Actions
- Simulation: NVIDIA Isaac Sim
- Hardware Interfaces: CAN, EtherCAT, Ethernet
WHAT WE OFFER
- Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays.
- Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support.
- Equity included–we believe builders should share in what they build.
- Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
Location: Sydney
Software Engineer – Core - Data & Lifecycle
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating across all liquid asset classes worldwide. We are a technology and data-driven organisation applying a scientific approach to investing. By combining data, research, technology, and trading expertise, we tackle complex problems in a highly collaborative environment. Our culture of innovation underpins our ambition to deliver high-quality returns for our investors.
Your role at QRT
We are looking for a Software Engineer to join our Core Data & Lifecycle Engineering team in Sydney.
This team builds and owns critical systems that sit at the heart of QRT’s trading operations—powering trade and position lifecycle management, reference data, and reporting workflows across all asset classes. These systems are highly visible and directly influence trading decisions, risk management, and operational efficiency.
This is primarily a hands-on engineering role (≈80% development), with a smaller component (≈20% support and system ownership) focused on maintaining robustness, reliability, and data quality in production.
You’ll work closely with trading, research, risk, and operations teams, gaining strong exposure to the business while building scalable, high-performance systems.
What you’ll work on
Designing and building scalable, high-performance systems for trade and position lifecycle management
Developing solutions to automate lifecycle events such as corporate actions, expiries, and cash flows across asset classes
Building and maintaining high-quality reference data platforms used across trading and research
Delivering real-time and end-of-day reporting pipelines for internal and external stakeholders
Ensuring data accuracy, integrity, and consistency across systems and workflows
Contributing to system validation, controls, and operational robustness, including alignment with brokers and fund administrators
Collaborating closely with stakeholders to translate business needs into reliable technical solutions
Writing well-tested, maintainable code and contributing to CI/CD and deployment pipelines
Supporting production systems and continuously improving reliability, monitoring, and performance
What we’re looking for
5–10 years of software engineering experience, ideally in a high-performance or data-intensive environment
Strong programming skills in Python (experience with C# is a plus)
Solid understanding of software design, architecture, and scalable systems
Experience working with SQL and relational databases
Familiarity with testing frameworks and CI/CD practices
Domain experience (one or more is valuable, not required)
We’re interested in engineers with exposure to financial markets, particularly:
Trade and position lifecycle systems
Equities, ETFs, futures, or options
Corporate actions and reference data
Market structure and exchange-specific behaviour
Deep expertise in a single asset class is not required—but an interest in learning and working in a trading environment is important.
What will set you apart
Experience building systems in a quantitative trading or financial environment
Strong problem-solving skills with a focus on performance, scalability, and data quality
Ability to operate in a high-impact, fast-paced environment with evolving requirements
Clear communication skills and a collaborative mindset
Why join QRT?
Work on business-critical systems with direct impact on trading outcomes
Join a core engineering team with significant ownership and autonomy
Collaborate with traders, researchers, and engineers in a highly technical environment
Tackle complex data and systems challenges at scale
ГибридIf you are not currently in Portugal, we are open to remote work during the trial period, with relocation to Lisbon afterward
УдалённоUnited Kindom, United Kingdom; Buenos Aires, Argentina; Bogotá, Colombia; Sao Paulo, Brazil; Montevideo, Uruguay; Bangalore, India; Chittagong, Bangladesh; Karachi, Pakistan; Tokyo, Japan; Hanoi, Vietnam; Taipei, Taiwan; Bangkok, Thailand; London, United Kingdom; Lugano, Switzerland; Barcelona, Spain; Dubai, United Arab Emirates; Sofia, Bulgaria; Prague, Czechia; Belgrade, Serbia; Copenhagen, Denmark; Tallinn, Estonia; Athens, Greece; Tbilisi, Georgia; Budapest, Hungary; Dublin, Ireland; Sliema, Malta; Oslo, Norway; Amsterdam, Netherlands; Warsaw, Poland; Lisbon, Portugal; Bucharest, Romania; Stockholm, Sweden; Brussels, Belgium; Tel Aviv, Israel; Istambul, Türkiye; Nicosia, Cyprus
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