Вакансии

Location: Amsterdam, Netherlands; 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. #LI-IV1 The role We are seeking a highly technical and experienced Network Planning Technical Project Manager to join our infrastructure team. In this pivotal role, you will be the bridge between internal data center development teams and external telecommunications partners. You will own the connectivity lifecycle—from initial site opportunity assessment through to the final Outside Plant infrastructure delivery—ensuring our facilities are seamlessly integrated into the global network. The ideal candidate possesses a deep understanding of fiber optics, ISP commercial structures, and geospatial data management, coupled with the project management discipline to drive complex, multi-stakeholder builds across the region. You’re welcome to work in our Amsterdam office or remotely from Europe. Your responsibilities will include: Cross-Functional Collaboration & Strategy Integrated Project Delivery: Work in lock-step with other Network TPMs, DWDM engineers, ITDC (Infrastructure Technical Data Center) teams, Network Procurement, and Construction departments to ensure cohesive project execution. Datacenters PoP Selection: Partner with the site selection team to evaluate connectivity feasibility. Lead the technical validation of long-haul wave proposals and dark fiber options to inform Datacenter and PoP selections. Infrastructure Design: Act as the technical lead for fiber pathway architecture from the "0 manhole" to the internal access panels. Oversee the design of manhole placements, conduit systems, and site entry points to ensure optimal route diversity. MMR/POE Integration: Collaborate with engineering teams on the layout of Point of Entry (POE) and Meet-Me Rooms (MMR), ensuring space, power, and structural readiness for high-capacity, multi-carrier fiber and MOFN (Managed Optical Fiber Network) arrivals. Carrier Relations & Commercial Management Strategic Partnerships: Build and maintain strategic relationships with regional/ Continental ISPs, private dark fiber owners, and utility providers. Procurement & Negotiation: Collaborate with Network Procurement on RFx process for last-mile, middle-mile, and long-haul capacity. Lead negotiations for IRU (Indefeasible Right of Use) agreements, long-term leases, and MOFN service structures. Colocation: Coordinate with fiber owners to secure necessary rack space, power, and environmental resources within ILA (Inline Amplification) sites. Network Data & Geospatial Management Documentation: Maintain internal databases of fiber/connectivity routes, including rigorous management of KMZ/KML files. AutoCAD: Utilize AutoCAD to review, modify, and create site infrastructure and conduit design plans, ensuring accurate documentation of physical plant deployments. We expect you to have: Education: Bachelor’s degree in Engineering, Telecommunications, or a related field (or equivalent professional experience). Industry Expertise: 5+ years of experience in network infrastructure, OSP planning, or data center connectivity project management. Technical Proficiency: AutoCAD: Proficiency in creating and reviewing site infrastructure/conduit designs. GIS: Advanced ability to work with geospatial tools and KMZ/KML files. Optical Networking: Strong grasp of DWDM technology, ILA requirements, and the technical lifecycle of MOFN deployments. Commercial Acumen: Demonstrated success in negotiating complex fiber leases, IRUs, and construction contracts. Relationship Management: Proven ability to influence stakeholders and external vendors to meet aggressive regional deployment timelines. Preferred technical stack: Deep knowledge of the regional fiber landscape, including utility right-of-way and regional infrastructure challenges. Experience with large-scale 100Tbps+ capacity planning and deployment. Ability to read and create code in Python or Go that is relevant to the position. Knowledge of service provider or datacenter IP Networking is preferred. 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: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St) Workplace: Hybrid The role / impact We are looking for a Principal Engineer to join the teams behind the Xero Accounting App (XAA), our flagship mobile experience that helps small business owners stay on top of their finances wherever they are. You will define the standard for engineering excellence at Xero, strengthening technical capabilities and evolving the architectural direction to support our global product roadmap. Core Tech Stack (Non-Negotiable): React Native, TypeScript, and cloud-native backend APIs form the foundation of this role. You will be architecting, building, and leading across all three domains as an integrated system. You will bridge the gap between product vision, strategy, and execution, shaping the React Native technical roadmap to ensure our architectural decisions align with strategic goals. We need a leader who can solve complex mobile engineering problems at scale, seeking clarity within complexity and demonstrating smart ways to simplify while breaking down silos and driving cross-functional collaboration between mobile and backend teams. The ideal candidate is someone who, - Drives architectural strategy across all mobile squads and domains. - Shapes the mobile technical roadmap in close partnership with product, design. - Leads the most complex and ambiguous technical initiatives across the organisation. - Sets the engineering standard for the entire mobile organisation across code quality, reliability, operational maturity. - Acts as a force multiplier at the organisational level by coaching Lead and Senior Engineers. - Anticipates industry shifts, evaluates emerging technologies, and future-proofs the mobile platform. Initially, you will focus on - React Native Excellence: Establishing reference patterns, best practices, and architectural standards for high-performance React Native applications. Optimize for bundle size, performance, native module integration, and TypeScript-first development—raising the bar across the codebase. - Cross-Boundary Technical Leadership: Leading collaboration across mobile and backend teams, ensuring API contracts are designed with mobile consumption patterns in mind, and removing friction at the feature boundary. You'll advocate for the mobile perspective in system design while owning the React Native side fully. - TypeScript-First: Championing strict TypeScript practices across the React Native codebase, establishing type safety standards, and mentoring engineers on patterns that catch errors at compile time rather than at runtime. - Systemic Operational Excellence: Leading strategic prevention of issues by defining frameworks for SLOs, quality standards, crash analytics, and reliability metrics specific to mobile performance and UX. - Capability Elevation: Acting as a force multiplier by coaching lead engineers in React Native architecture, recruiting top React Native + TypeScript talent, and engaging with the broader React Native community. - API & Backend Exposure: Practical experience working across the feature boundary with backend services and BFF/API layers. You can reason about API contracts, mobile consumption patterns, and troubleshoot integration issues—but you're not expected to be a deep backend engineer owning infrastructure, databases, or full service architecture. - AI-Led Engineering for Mobile: Define and execute a vision for AI-assisted development that transforms how React Native code is written, tested, and optimized—delivering step-function improvements in mobile development velocity. Additional Strengths: - You bring extensive experience building and leading mobile applications in high-growth, large-scale environments—understanding the unique challenges of scaling React Native codebases, build pipelines, and release automation. - Your approach ensures React Native architecture and product strategy are inextricably linked, translating technical possibility into beautiful, performant customer experiences. - You focus on strategic prevention rather than reacting to incidents, using delivery and production metrics (crash rates, API latency, bundle size trends) to identify systemic improvements. - A natural ability to thrive in ambiguity allows you to act as a stabilising force, translating shifting business directions into high-level React Native technical roadmaps. WHY THIS MATTERS React Native powers ~70% of the Xero Accounting App. Success in this role means establishing the technical standard for how we build mobile at Xero—defining architecture patterns, TypeScript practices, performance benchmarks, and the processes that support high-velocity mobile development. You'll influence hiring, technical culture, and the mobile engineering roadmap for years to come. This is not a backend role; it's about owning mobile excellence end-to-end. Where and how you can work Our teams are located in Australia and this hybrid role is based in Melbourne or Sydney, offering the flexibility to balance deep-focus work with high-bandwidth collaboration in our beautiful offices. Please apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to our culture.

Location: New York; San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. WHAT YOU’LL WORK ON: - Improve existing methods and develop new techniques for large-scale model training, optimization, and inference - Extend models to long-context and long-horizon tasks - Improve inference-time efficiency, reliability, and robustness in high-stakes real-world deployments YOU MAY BE A FIT IF: - You’re currently pursuing a PhD in computer science, machine learning, or a related field - You have a demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas - You have experience developing and evaluating large-scale models or machine learning systems - You’re familiar with distributed training, large-scale inference, or multi-GPU environments - You have publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR - You have strong programming and engineering skills and can translate research ideas into working implementations - You have a collaborative, mission-driven mindset and can work effectively across research and engineering teams

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THIS ROLE We’re hiring experienced performance engineers to make performance measurement at Supabase rigorous, repeatable, and actionable by product teams. This role owns the benchmarking and profiling systems we use to detect regressions, explain performance changes, and publish credible numbers for customers and the market. You’ll build the tooling and the methodology and make it easy for product teams to use it correctly. You’d join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There’s no legacy process to inherit — you’ll help define how we measure and communicate performance metrics at Supabase. WHAT YOU’LL DO - Build and evolve benchmarking, profiling, and load-testing tooling (cloud, database, and end-to-end). - Define benchmark suites and reference workloads that reflect real customer behavior (and evolve them as the products change). - Establish performance baselines and regression gates across products (variance tracking, environment control, and detection of changes). - Build mechanisms that turn benchmark results into action: triage workflows, owner routing, and clear, reproducible reports. - Partner closely with database teams (e.g. Multigres, OrioleDB) to identify bottlenecks and land concrete performance improvements. - Enable the company to publish credible, repeatable performance numbers for customers and the market. - Help teams self-serve performance testing and make performance a first-class engineering concern. PROBLEMS YOU MIGHT WORK ON - Build our continuous benchmarking infrastructure so product teams can spot performance regressions early. Ideally, teams can run benchmarks directly on PRs or locally while developing a feature. - Analyze and eliminate issues with load generators, workloads or benchmark environments to ensure that benchmarks are reliable indicators for actual product performance. - Build regression triage tooling that pinpoints what changed (diffing, profiles/traces, query-level attribution). - Help product teams so they can analyze the root cause of performance regressions in benchmark environments themselves. WHAT WE’RE LOOKING FOR - Deep experience in performance engineering, benchmarking, and profiling of complex distributed systems. Specifically, you have owned benchmarking systems where reproducibility and controlling variance mattered. - Strong systems intuition (databases, storage, networking, cloud infrastructure). - Comfortable working across product, infra, and database teams. - Pragmatic, tooling-oriented mindset with strong communication skills. - Depth on at least one end of that stack: Linux kernel internals (virtual memory, scheduling, networking, IO) or database internals (query planning, storage engines, buffer and WAL management) WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're hiring experienced performance engineers to find and land performance wins across the Supabase stack — from the query optimiser to block device level, and across the network paths and cloud infrastructure that connect our distributed platform. This is a performance delivery role: real, measured improvements to our database, platform, and APIs as we scale toward enterprise and platform-grade workloads. The methodologies you develop and tooling you build exist to multiply that delivery. You'd join a new performance team as one of its first members, working alongside a deeply seasoned performance engineer, with the team growing to roughly six this year. There's no legacy process to inherit — you'll help define how performance engineering works at Supabase. WHAT YOU'LL DO - Find bottlenecks in live production systems and characterize them precisely enough that the owning team can act on them without you in the room. - Partner closely with database teams (e.g. Multigres, OrioleDB) and infra teams to land concrete performance improvements. - Build, communicate, and evolve performance methodologies and tooling that turn live production data into actionable insight. - Partner with the observability team to capture the right signals and establish a unified view of platform performance (latency, throughput, tail behavior) across products. - Help teams self-serve performance analysis and make performance a first-class engineering concern. PROBLEMS YOU MIGHT WORK ON - Tune the kernel's paging behavior to production workloads - Reduce memory overhead in OrioleDB and Multigres - Identify and eliminate sources of latency spikes from application to kernel level - Identify scalability bottlenecks across the entire stack and work the appropriate teams in Supabase and the wider community to resolve them WHAT WE'RE LOOKING FOR - Deep experience in performance engineering, specifically performance analysis of complex distributed systems. - You can walk the whole stack: follow a tail-latency problem from the query optimizer through the syscall boundary to the IO scheduler — or across pooler hops, network paths, and availability zones — reading profiles and traces at every layer. - Depth on at least one end of that stack: Linux kernel internals (virtual memory, scheduling, networking, IO) or database internals (query planning, storage engines, buffer and WAL management) - Strong working knowledge of networking and cloud infrastructure performance: TCP behavior under load, network virtualization overhead, and the performance characteristics of AWS primitives (EBS throughput and IOPS, instance network limits, placement groups, cross-AZ latency). - Proven ability to turn performance insights into real product and architecture improvements — including getting teams you don't belong to to prioritize and ship the fix. - Strong written communication: your problem characterisations are precise, reproducible, and compelling on their own. - Pragmatic, tooling-oriented mindset; comfort working across product, infra, and database teams. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Mexico City Workplace: hybrid Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:We are looking for a Solution Consultant  to support the development of the LATAM region by providing technical expertise and experience to the team, customers, and partners. As a Solution Consultant, you will actively drive and manage the technology evaluation stage of the sales process, working in conjunction with the sales team as the key technical adviser and product advocate. Using technical creativity and business acumen, you will illustrate the value that Creatio’s platform can provide. You must be able to engage and articulate product positioning to both business and technical users in competitive scenarios. You will also rapidly identify all technical issues of assigned accounts to assure complete customer satisfaction through all stages of the sales process.The role is hybrid based in Mexico City.Team composition:Reporting to our VP of Solution Consulting Americas.Responsibilities:Customer Oriented Responsibilities:Lead discovery sessions with prospects to identify pain points, business goals, and key use cases.Align Creatio’s platform capabilities with prospect requirements, positioning no-code automation, AI-driven workflows, and CRM functionalities effectively.Develop value-driven demos, leveraging storytelling techniques to connect with different personas (C-suite, IT, end-users).Deliver engaging, industry-specific demos, adapting content for each audience and addressing technical objectionsDeliver product demos and technical briefs for key customer accountsAct as a trusted advisor, guiding customers on best practices for digital transformation with a low-code/no-code CRM.Partner Oriented Responsibilities:Help partners define best approaches in sales strategies based on product specifics and capabilities.Company and Team-Oriented Responsibilities:Work closely with Account Executives to strategize on deal progression and competitive positioning.Contribute to internal knowledge bases, demo libraries, and best practices for presales teams.Stay updated on Creatio’s latest features, market trends, and competitor offerings.Requirements:2-3 years of experience in solution consulting, presales, or technical sales within enterprise SaaS (CRM, BPM, or automation solutions preferred).Expertise in business process automation, CRM platforms, or customer experience solutions.Exceptional presentation skills, with the ability to tell compelling stories through customized demos.Ability to navigate complex sales cycles and influence senior decision-makers. In-depth knowledge of the LATAM market dynamics, including industrytrends, and competitor landscape.Storytelling mindset – ability to create engaging, value-driven narratives in demos. Curiosity & problem-solving – proactive approach to understanding customer needs. Collaboration & adaptability – ability to work cross-functionally in a fast-paced, global team.Willingness to travel as needed to meet with clients and attend industry events. Requirement to work in the Creatio Mexico City office once a month.Experience with no-code/low-code platforms, AI automation, or API integrations is a plus.Experience working with and designing database solutions is a plus.Fluency in English.Nice to have:Bachelor's degree in a related field.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type. Who We’re Looking For: We are looking for a Solution Consultant  to support the development of the LATAM region by providing technical expertise and experience to the team, customers, and partners. As a Solution Consultant, you will actively drive and manage the technology evaluation stage of the sales process, working in conjunction with the sales team as the key technical adviser and product advocate. Using technical creativity and business acumen, you will illustrate the value that Creatio’s platform can provide. You must be able to engage and articulate product positioning to both business and technical users in competitive scenarios. You will also rapidly identify all technical issues of assigned accounts to assure complete customer satisfaction through all stages of the sales process.The role is hybrid based in Mexico City.Team composition:Reporting to our VP of Solution Consulting Americas.

Location: Athens; Limassol; Nicosia; Thessaloniki Workplace: hybrid The Role:  We are looking for a Senior Data Scientist specializing in Graph AI to join our growing Data Science team. In this role, you will design and deploy production-grade graph machine learning solutions, working with Graph Neural Networks (GNNs), graph databases, and large-scale datasets to solve complex real-world problems.   You will play a key role in shaping the company's Graph AI capabilities, collaborating with cross-functional teams and mentoring other data scientists while delivering innovative, business-impacting solutions. The main responsibilities of the position include: Design, develop, and deploy Graph Neural Networks (GNNs) and graph-based machine learning solutions Transform large, complex datasets into graph representations and extract actionable insights using advanced analytics, graph algorithms, and statistical techniques. Drive the adoption of Graph AI across the organisation by identifying new use cases and contributing to the evolution of the company's data science strategy. Communicate complex technical concepts and model outcomes clearly to both technical and business audiences. Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality . Leverage technologies such as Python, Graph Neural Networks, graph databases, modern ML frameworks, and cloud-based data platforms to build innovative data solutions Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics Lead and supervise a team of data scientists working on graph-related tasks Partner closely with Data Engineers, Software Engineers, Product Managers, and business stakeholders to translate business challenges into scalable Graph AI solutions. Main requirements: University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field At least 6 years of experience in data science, machine learning and AI , including hands-on experience in designing, training and optimising Graph Neural Networks (GNNs) for production applications. Experience working with relational and non-relational databases Solid experience working with graph databases (e.g., Neo4j, Neptune) and proficiency in graph query languages (e.g., Cypher or Gremlin). Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly Strong programming skills in Python and experience with Pandas, NumPy , and similar data analysis libraries Strong analytical thinking, problem-solving ability, and attention to detail . Excellent communication skills and the ability to work collaboratively in a team environment Fluent in English Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: NAMER and LatAm Workplace: Remote The Learning Team at ClickHouse is growing fast as more and more users discover the power of ClickHouse and need to understand how to use it effectively. As a member of a small team, you will have the opportunity to work on many different projects involving the development and delivery of training content. We deliver training in many formats, including on-demand at ClickHouse Academy; live training delivered online via Zoom; in-person training for customers; and training at community events and conferences. We also have a credential and certification program to complement our training courses and recognize those individuals who are ClickHouse subject matter experts. Experience with machine learning and GenAI is highly valuable to help us build and deliver training for key ClickHouse use cases. RESPONSIBILITIES: - Developing ClickHouse training courses for both on-demand and instructor-led delivery, including slides, videos, and hands-on labs - Designing new training courses for various personas and users of ClickHouse, including working with the Engineering and Product team to determine the necessary course content  - Working with other Curriculum Developers to produce high quality on-demand training content for the ClickHouse Academy - Teaching ClickHouse courses both virtually and in person for public and private deliveries - Helping write and deploy quizzes and certification exams for ClickHouse credentials and certifications - Establishing a community presence using popular social media outlets as well as delivering training and talks at conferences - Traveling to Meetups, conferences, and customer sites to deliver training and promote ClickHouse to the community REQUIREMENTS: - A self-motivated attitude that provides you with the desire and determination to complete projects in a fast-paced startup environment - Ability to learn new technologies quickly and effectively - Proven experience developing curriculum for a highly technical audience like software engineers and database developers - Proven experience and ability to teach audiences of all different sizes and backgrounds - Ability to travel regionally throughout North America and globally in EMEA and APAC.  - Experience with SQL - Technical breadth and depth in relevant subjects such as DBMS, OLAP, Cloud/SaaS platforms, distributed systems software engineering, and big data - Excellent communication skills - You have a high level of responsibility, ownership, and accountability BONUS POINTS: - 5+ years of experience with curriculum development for databases and/or distributed systems - Strong knowledge of building machine learning applications and/or GenAI - Experience with ClickHouse database - Experience with one or more Cloud Service Providers such as AWS, GCP, Azure - Experience building software certification exams - Ability to work cross-functionally amongst engineering, support, product and development teams - Technical degree (e.g., Computer Science or related field) #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: New York, New York, United States About the Role iCapital’s Distributed Ledger Technology team is looking to hire a Senior Blockchain Backend Engineer to develop an industry-wide distributed ledger solution for the alternative investment ecosystem to facilitate access to private markets investments for advisors and their high-net-worth clients using innovative technology solutions. The ideal candidate is able to understand complex business problems, scope projects, identify business opportunities, optimize workflows, and communicate their findings across all levels of the organization. This role is highly visible and involves working closely with other teams in Engineering, Product, senior leadership, and industry partners. Responsibilities Design and implement a private and permissioned distributed ledger using DAML or Canton and other open source blockchain frameworks. Build and maintain a RESTful API using Python and FastAPI. Provide technical leadership to motivate and guide team members and mentor junior engineers. PArticipate in daily stand-up meetings and peer code reviews as part of the standard SDLC. Stay current with the latest developments in blockchain technology and incorporate them into the iCapital ecosystem. Qualifications 9+ years software engineering experience building enterprise SaaS cloud-based solutions 3+ year technical leadership and management experience Experience with DAML, Solidity, or other blockchain programing languages Experience with Python, Toke and FastAPI Demonstrated understanding of relational database concepts and modeling practices Experience building APIs for large scale applications using AWS Benefits The base salary range for this role is $150,000 to $200,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: USA - Austin (dbt) From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. Solutions Engineer, Commercial (Austin) About the role As a Solutions Engineer (SE) on our team, you will help prospects understand the value of the combined Fivetran and dbt platform across the full data lifecycle: moving, transforming, and trusting their data. You’ll lead technical discussions with prospective customers, uncover their data challenges, identify their technical requirements, and demonstrate how our products work together through live demos, technical workshops, and structured proofs of value. You’ll be a trusted advisor to a wide range of customers, from fast-growing startups to established enterprise data teams, helping them solve real business problems with our platform and playing a key role in winning deals and driving the business forward. Internally, you’ll partner closely with Account Executives, contribute to building and refining our processes and playbooks as the two teams integrate, and act as the voice of the customer to ensure we continue developing products that solve real problems and delight our users. Location: Austin, TX (hybrid). This is a full-time position, and candidates must be located in Austin and able to work in the office two days a week (Tuesday and Thursday). What you'll do Spend the majority of your time on pre-sales opportunities, working with customers to understand their business, use cases, and requirements for data movement, transformation, and governance Consult with prospects to uncover their data challenges and show how Fivetran and dbt together can alleviate pain points and support their goals, from ingestion through modeling to analytics and AI Lead structured, curiosity-driven discovery that qualifies opportunities early and maps technical requirements to business outcomes, success criteria, and the customer’s decision process Own the demonstration of technical and business impact by delivering tailored demos and technical presentations of the platform to both technical and business audiences Articulate business value, not just features: work with your Account Executive to build the business case (e.g. time-to-value, cost savings, ROI) and tell a clear, data-backed story to technical and executive stakeholders Ensure the technical win by running an organized proof-of-value process, from defining success criteria through final readout Design and architect scalable, reliable data solutions, and guide customers through architectural questions, including source systems, cloud and on-premises networking, self-hosted and SaaS deployment options, and security requirements Collaborate closely with Account Executives by building strong, trust-based relationships and offering strategic input throughout the deal process, including account planning, opportunity prioritization/qualification, and pipeline generation strategy Proactively generate demand in your territory through technical initiatives such as workshops, webinars, industry events, and account-based marketing activities Maintain ongoing relationships with technical stakeholders within your accounts, build champions, and identify opportunities where customers can benefit from both products Partner with Product, Engineering, and other internal teams to represent the voice of the customer, relay field feedback, and drive improvements across the combined company Contribute to our knowledge-sharing loop by helping improve team processes, refining assets and playbooks, and enabling and mentoring teammates through collaboration Create and deliver external-facing content through live events, blog posts, recorded tutorials, or other educational resources Use AI tools to work smarter across research, discovery preparation, demo building, and follow-up, and help customers shape practical AI use cases on trusted, well-modeled data Stay up to date on the latest technologies and trends in the data industry through ongoing training and certification, and help teammates work through advanced technical or business roadblocks What you bring 2+ years of related industry experience (ideally 5–8) in data replication, sales engineering, analytics engineering, data consulting, or a related technical field, including at least 2 years in a customer-facing role Strong technical foundation in modern data architectures, including cloud data warehouses, the modern data stack, and proficiency in SQL Hands-on experience with other data replication or traditional ETL tools Experience with transformation tooling, data catalogs, and BI tools Working knowledge of cloud infrastructure and networking, both in the cloud and on-premises Demonstrated ability to work with customers to review complex existing architectures and provide guidance on how to improve them by leveraging technology Ability to work with a cross-functional sales team to formulate and execute an end-to-end deal cycle Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to both technical and business leadership Business acumen and value storytelling: you connect technical capabilities to business outcomes and can talk about how a customer’s processes improve, not only how the product works Genuine curiosity and empathy in customer conversations: active listening, asking the next question, and understanding what success looks like for the buyer Strong problem-solving and analytical skills, and the ability to operate effectively in ambiguous, fast-paced environments, adapt quickly, and think on your feet during customer conversations Experience working asynchronously as part of a partially remote, distributed team A strong team-player mindset, both within the SE team as we evolve our ways of working and in daily collaboration with Account Executives as part of a deal team Openness to travel (up to 25%); we value in-person relationship building, both internally and externally, and expect willingness to travel to events as needed A Bachelor’s degree or equivalent work experience What Will Make You Stand Out Hands-on experience with dbt; dbt certification is a bonus Basic Python competency and advanced SQL knowledge Proven experience in a pre-sales technical role Hands-on experience with database replication and data movement, including sources such as Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands-on experience on Snowflake, Databricks, Google BigQuery and/or other cloud data platforms) Experience with self-hosted and SaaS software applications and their supporting infrastructure Specialized expertise in security posture Experience developing partner relationships Understanding of popular sales methodologies/frameworks such as MEDDPICC or Command of the Message Experience in data engineering or AI/ML projects A cloud provider certification (AWS, Azure, GCP) or a data platform certification (e.g. Snowflake, Databricks) Practical, everyday use of AI tools in your pre-sales workflow Hiring Process Interview with Talent Acquisition Partner Interview with Hiring Manager Technical Interview Team Interview Final Panel Interview OTE (On Target Earning) $160,000 — $190,000 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Munich 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 Harvey’s Legal Engineers are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Legal Engineers build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective. Similar to how Solutions Architects secure the “technical win” in the sales process, Legal Engineers secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area. Legal Engineers utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations. WHAT YOU’LL DO - Engage with English- and German-speaking lawyers at existing and prospective customers to understand their workflow challenges, strategic objectives, and broader firm context — then demonstrate how Harvey’s AI solutions can address them. - Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence). - Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases. - Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types. - Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens. - Tailor the introduction of new solutions to specific customer needs. - Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs. - Conduct research and analysis on customers and competitors. WHAT YOU HAVE - JD or equivalent legal qualification. - Fluent in German and English. - At least 3 years of experience practicing law at a top-tier law firm (Vault 50 or equivalent), preferably with a transactional, in-house or transformation experience. - Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels. - Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Strong understanding of legal processes and challenges faced by legal professionals. - Curiosity about AI’s potential to transform the legal industry. - Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships. ADDITIONAL INFORMATION FOR POSTINGS - Location: Germany - Work eligibility: Must have valid German work rights; Harvey does not currently offer visa sponsorship for this role WHAT WE OFFER - Be part of building something special as a founding member of our Germany team - Opportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growth DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-RC1 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: Remote, Global ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We're looking for a Release Engineer (SRE) to join our Release Engineering team (part of EngOps) — a production-operations expert who brings an SRE mindset to how Supabase ships and runs, making deploys safe, observable, and recoverable at scale. Release Engineering's scope has grown well beyond build-and-ship: we increasingly own the operational reliability of the systems that deploy and run Supabase. In this role you'll treat our deployment pipelines, pre-production signal, and the control plane itself as production systems — with SLOs, error budgets, and on-call ownership — and you'll be the person teams lean on when reliability is on the line. This is not a "gatekeeper" role. You'll make the reliable path the easy path: standardising how we deploy, instrumenting what we ship, and ensuring that when something breaks, we detect it quickly and recover quickly. WHAT YOU'LL BE RESPONSIBLE FOR In this role, you'll: - Own the reliability of Supabase's deployment and release systems, and the control plane they run on, against clear SLOs and error budgets - Turn pre-production into a trustworthy signal — standardizing and instrumenting today's fragmented, ad-hoc deployment workflows - Drive disaster-recovery readiness, including making environments reproducibly deployable from scratch (untangling undocumented secrets, unclear configuration ownership, and circular service dependencies) - Build and operate health and SLO monitoring for critical user flows, using synthetic testing to catch regressions before customers do - Reduce mean-time-to-detect and mean-time-to-recover for deploy-related incidents — which account for a large share of our incident load - Participate in on-call, lead blameless postmortems, and turn findings into runbooks, alerting, and automation that remove toil - Improve deployment observability and auditability — a clear record of what shipped where, when, and by whom - Document operational procedures — break-glass paths, access models, and runbooks — so reliability knowledge isn't tribal RELIABILITY & OPERATIONS - Define and track SLAs, SLOs, error budgets, and DORA delivery metrics — with meaningful alerting over noise - Ensure deployments fail fast and safely when health checks degrade - Harden access and break-glass workflows (e.g. scoped self-service) so the right people can act in an incident without unsafe workarounds - Partner with product engineering and platform teams to align release practices with reliability and availability targets YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years in SRE, production operations, platform engineering, or release engineering - Have operated production systems at scale and carried on-call for them - Are fluent in SLAs, SLOs, error budgets, DORA metrics, and operational KPIs — and the observability tooling behind them (Prometheus, Grafana, Alertmanager, or similar) - Have led incident response with tooling like incident.io http://incident.io (or PagerDuty / Opsgenie), run blameless postmortems, and driven down MTTD/MTTR - Operate confidently on AWS (multiple accounts, IAM, VPC) in production - Are comfortable with infrastructure-as-code (Pulumi, Terraform) and Kubernetes - Script and automate to eliminate toil rather than absorb it - Communicate clearly with both infrastructure specialists and product engineers - Thrive in async, globally distributed teams - Are comfortable navigating ambiguity and iterating toward better systems over time WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking an iOS Software Engineer to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade iOS applications where AI interactions are central to the user experience, ensuring performance, reliability, and user trust across all mobile interactions. Working closely with backend and machine learning teams, this position will focus on delivering scalable iOS applications that integrate advanced AI capabilities while maintaining a seamless and intuitive user experience. Key Responsibilities Build and maintain production iOS applications using Swift and SwiftUI . Integrate AI-powered features through backend APIs. Design user experiences for AI interactions, including loading states, streaming responses, retries, and fallback mechanisms. Optimize application performance, memory usage, and battery efficiency. Implement user feedback and analytics mechanisms to support AI evaluation and continuous product improvement. Collaborate closely with backend and machine learning engineers on API design and system behavior. Maintain high standards of application quality, stability, and reliability for App Store releases. Requirements Minimum 3 years of iOS development experience using Swift. Hands-on experience integrating AI-powered features into mobile applications. Strong understanding of async/await , concurrency, and background task management. Solid experience optimizing iOS application performance, memory usage, and responsiveness. Experience developing, releasing, and maintaining production iOS applications. Familiarity with designing applications that operate reliably under latency, partial failures, and non-deterministic AI behavior. Exposure to CoreML or lightweight on-device machine learning is an advantage. Familiarity with feature flags or remote configuration systems is preferred. Strong understanding of user experience design for AI-powered applications, with an emphasis on usability and user trust. Preferred Technical Skills Experience with the following technologies is preferred: Swift SwiftUI Swift Package Manager (SPM) SQL and NoSQL databases TensorFlow Lite (on-device inference)

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is looking for a Full Stack Engineer – AI Systems to build AI-native product experiences that transform advanced AI capabilities into intuitive, production-ready workflows. This role combines frontend, backend, and AI engineering to develop intelligent features that are reliable, scalable, and user-centric. Working closely with product, backend, and machine learning teams, this position will focus on designing end-to-end AI workflows, integrating large language models (LLMs), and delivering seamless user experiences across web applications. Key Responsibilities Build end-to-end product features across frontend, backend, and AI integrations. Design and develop AI agent workflows that support planning, tool usage, failure handling, and recovery across multiple steps. Integrate LLMs, memory systems, and external tools into scalable, production-grade applications. Design responsive AI interactions with streaming capabilities, partial results, and low-latency performance. Improve system reliability, observability, and fallback mechanisms for AI-powered features. Collaborate closely with product, backend, and machine learning teams to deliver features from concept to production. Continuously iterate and improve product functionality based on user feedback, production insights, and real-world usage. Requirements Strong experience in full stack software engineering across frontend and backend development. Solid understanding of system design, scalable architecture, and API development. Experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or similar technologies. Ability to work effectively in fast-paced environments with evolving requirements. Strong ownership mindset with experience delivering features from ideation through production deployment. Excellent problem-solving skills and the ability to make pragmatic engineering decisions in ambiguous situations. Preferred Technical Skills Experience with some or all of the following technologies is preferred: Next.js Python Node.js PyTorch OpenAI, Anthropic, or open-source Large Language Models (LLMs) SQL and NoSQL databases Kubernetes Docker

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking an Android Software Engineer to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade Android applications where AI is at the core of the user experience, ensuring performance, reliability, and usability across all mobile interactions. Working closely with backend and machine learning teams, this position will focus on delivering scalable Android applications that integrate advanced AI capabilities while maintaining a seamless user experience. Key Responsibilities Build and maintain production Android applications using Kotlin . Integrate AI-powered features such as chat, vision, voice, and recommendation systems through backend APIs. Design intuitive user experiences for AI interactions, including streaming responses, retries, and partial results. Optimize application performance, memory usage, and responsiveness for AI-intensive workflows. Implement analytics, logging, and user feedback mechanisms to support continuous AI evaluation and product improvement. Collaborate closely with backend and machine learning engineers to define API integrations and system behavior. Ensure application stability, security, and scalability within production environments. Requirements Minimum 3 years of Android application development experience using Kotlin. Hands-on experience integrating AI-powered features, such as Large Language Models (LLMs), computer vision, or speech APIs. Strong understanding of asynchronous programming using Coroutines and Flow . Experience working with RESTful or gRPC APIs and structured data formats. Strong debugging, troubleshooting, and performance profiling skills. Experience developing applications that operate reliably under conditions involving latency, partial failures, and non-deterministic behavior. Familiarity with ML Kit or lightweight on-device inference is an advantage. Experience publishing and maintaining production applications on the Google Play Store . Preferred Technical Skills Experience with the following technologies is preferred: Kotlin / Java SQL and NoSQL databases TensorFlow Lite (on-device inference)

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is seeking a AI Backend Engineer to build and operate the backend infrastructure that powers AI-driven experiences across its products. The role focuses on owning the inference and orchestration layer that sits between AI models and end users, ensuring every interaction is fast, reliable, scalable, and cost-efficient. Working closely with engineering and AI teams, this position will play a key role in designing production-grade backend services, optimizing system performance, and delivering robust AI-powered features across mobile and desktop platforms. Key Responsibilities Build, maintain, and operate backend systems that power AI-enabled features in production. Design and implement AI inference pipelines, orchestration layers, and service architectures around AI models. Develop scalable, high-performance APIs that integrate seamlessly with frontend applications and machine learning systems. Optimize system performance by improving inference latency, throughput, caching, batching, and streaming capabilities. Own production operations, including monitoring, logging, alerting, and incident response. Troubleshoot and resolve issues within distributed systems to ensure service reliability and stability. Continuously improve backend architecture and production systems based on operational insights and real-world usage. Collaborate with cross-functional teams to deliver reliable, scalable, and high-quality AI-powered solutions. Requirements Strong backend engineering experience in production environments. Proven experience building and operating high-throughput, low-latency backend services. Experience designing scalable APIs and distributed systems. Familiarity with AI inference patterns, including Large Language Models (LLMs), embeddings, and multimodal AI systems. Strong debugging and troubleshooting skills within distributed production environments. Demonstrated ability to deliver production-ready solutions while iterating based on real-world system performance. Excellent analytical, problem-solving, and collaboration skills. Technical Skills Experience with the following technologies is preferred: Python Node.js PyTorch OpenAI, Anthropic, or open-source Large Language Models (LLMs) SQL and NoSQL databases Kubernetes Docker

Location: Dhahran, Saudi Arabia ERAM Talent is seeking a motivated Application Developer to join our client in Dhahran, Saudi Arabia . This is an excellent opportunity for fresh graduates and early-career professionals (0–3 years of experience) who are passionate about software development, secure coding practices, and modern application technologies. The ideal candidate will have a strong foundation in software development, application security, and database concepts, with the ability to develop, test, and maintain secure, high-quality applications. You will work closely with cross-functional teams to design, develop, integrate, and optimize software solutions while ensuring compliance with Oil & Gas industry best practices. Key Responsibilities: Design, develop, test, and maintain secure software applications. Apply secure coding practices and ensure application and database security in line with Saudi Aramco standards. Participate in system design, software architecture, application integration, and cloud-based development. Develop and optimize SQL queries and work with relational databases. Perform software testing, debugging, and performance optimization. Collaborate effectively with clients and internal teams to deliver high-quality solutions. Troubleshoot technical issues and provide innovative software solutions. Requirements Bachelor's degree in Computer Science or a related field. GPA of 3.0/4.0 or 4.0/5.0 . 0–3 years of relevant experience (Fresh graduates are encouraged to apply). Strong understanding of application security, database security, and secure coding principles. Knowledge of software architecture, system design, cloud computing, and application integration. Strong analytical, problem-solving, and communication skills.

Требования: — Наличие степени бакалавра (требуется фото диплома при подаче заявки); — Проживание вне территории России и Беларуси; — Опыт управления командой, проведения PR-ревью и наставничества; — Опыт работы с Java и Spring Framework не менее 8 лет; — Опыт работы с AWS компонентами (Relational Database Service, Dynamo DB, Lambda, S3 storage, Kinesis, SNS, SQS) не менее 2 лет; — Знание Agile-фреймворка, предпочтительно Scrum; — Опыт работы с AWS Docker; — Знание принципов REST; — Опыт работы с VSTS/Azure DevOps; — Владение английским языком на уровне B2+ (устный и письменный). Условия: — Удалённая работа; — Контракт B2C; — Полная занятость; — Минимальный срок контракта 9 месяцев; — Рабочий день 8 часов с 5-часовым пересечением с командой в Чикаго (8:00 - 13:00 CDT).