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Location: Bosnia and Herzegovina; Serbia; Georgia; Romania; Hungary; Croatia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and HealthTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. About the Company Our client is a fast-growing technology company building multiple SaaS platforms across AI, healthcare, and data intelligence. Their core product is a multi-tenant AI-powered platform designed to enhance sales intelligence and call analysis, alongside a HIPAA-aware healthcare portal and a growing audience intelligence platform. They operate in a highly technical, product-driven environment focused on scalability, clean architecture, and efficient execution. Role Type: Full-time Engagement: Independent Contractor Job Summary We are hiring a Full-Stack Software Engineer to work across multiple SaaS applications, contributing to feature development, integrations, debugging, and backend systems. This is a high-impact remote engineering role where you’ll split your time across products based on sprint priorities, with a primary focus on an AI-driven platform. You’ll be responsible for executing scoped tasks with precision while also contributing to more complex systems and integrations. Key Responsibilities AI Sales Intelligence Platform (Primary Focus – ~70%) Build and implement features from architectural specifications Develop modern UI components, dashboards, and workflows using React and Next.js Build and maintain API routes with validation, pagination, and error handling Debug and maintain third-party integrations and APIs Implement webhook pipelines and asynchronous data workflows Manage background jobs and workflow orchestration Contribute to database design, migrations, and row-level security (RLS) policies Write unit and integration tests to ensure system reliability Healthcare B2B Platform (~30%) Develop onboarding flows and role-based interfaces Build and maintain authentication systems Integrate with third-party healthcare and pharmacy APIs Implement validation, audit logging, and compliance-aware features Troubleshoot bugs and improve system workflows Additional Product Work (As Needed) Support feature enhancements and maintenance for a stable audience intelligence platform General Responsibilities Execute development tasks with high reliability and attention to detail Collaborate through Git-based workflows, PR reviews, and structured documentation Troubleshoot API, integration, and system-level issues Use AI tools to improve development efficiency and output quality Requirements Core Technical Skills 2–4+ years of experience with TypeScript (strict mode, generics, strong typing) Strong experience with Next.js (App Router, API routes, middleware) Proficiency in React with modern component architecture Solid experience with PostgreSQL (queries, joins, schema design, RLS) Experience with Supabase or similar BaaS platforms (auth, database, storage, edge functions) Technical Experience REST API integrations and debugging Handling third-party API inconsistencies and failures Webhooks and asynchronous data processing Background jobs and workflow orchestration Git workflows (feature branches, pull requests, code reviews) Nice to Have Experience with multi-tenant SaaS platforms Exposure to AI or voice-based systems Experience working with HIPAA-compliant or regulated environments Strong understanding of system design and integration patterns How You’ll Work Async-first communication environment Documentation-driven development All code reviewed via pull requests before merging Strong focus on clean, reliable execution over unnecessary complexity Collaborative team culture with encouragement to ask questions early Growth Opportunity Increased ownership across systems and architecture Opportunity to lead projects and step into senior responsibilities Exposure to multiple SaaS products across AI, healthcare, and data platforms Ideal Candidate Detail-oriented and highly reliable Strong problem-solver, especially in debugging complex systems Comfortable working independently within structured systems Clear and proactive communicator Able to balance speed with high-quality output Benefits 💰 Competitive salary based on experience and region 🌎 Fully remote role with flexible working environment 🚀 Work on cutting-edge AI and multi-product SaaS platforms 📈 Long-term growth with opportunities for leadership and ownership 🧠 Exposure to complex systems, integrations, and scalable architectures 🎯 High-impact role contributing directly to product development

Location: Remote - US About the Job: As a Staff Engineer on LaunchDarkly's Experimentation team, you'll build the platform that helps engineering teams make data-driven decisions with confidence. Our Experimentation product enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences — integrated with a feature management platform that processes trillions of evaluations daily. This role sits at the intersection of data science and platform engineering. You'll design the statistical engine, warehouse-native analysis pipelines, and adaptive experimentation systems (including contextual bandits) that power our customers' most important decisions. We want someone who brings genuine depth in applied statistics and ML — as fluent in statistical validity as in system architecture. You'll also architect warehouse-agnostic features that run analysis directly inside customers' data warehouses (Snowflake, Databricks, Redshift, BigQuery) — modular computation layers that abstract across warehouse environments while maintaining statistical correctness. Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call. Responsibilities: Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction ( CUPED , Winsorization), power analysis. Ensure statistical correctness across all experiment types. Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support. Lead adaptive experimentation — contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. Drive the platform roadmap with product, design, and data science. Shape what we build, not just how. Collaborate cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams. Mentor engineers and raise the team's bar for statistical rigor and system design. Own operational excellence — monitoring, observability, incident response, on-call. Robust telemetry and alerting. Qualifications: 10+ years building large-scale experimentation platforms, statistical analysis systems, or data-intensive backend services. Applied-statistics knowledge: hypothesis testing, sequential analysis, variance reduction ( CUPED ), power analysis, experiment design. Comfortable with frequentist vs. Bayesian trade-offs. Experience with adaptive experimentation ML — contextual bandits, Thompson sampling, Bayesian optimization, or RL -based allocation. Track record designing warehouse-agnostic systems across Snowflake, Databricks, Redshift, BigQuery, or similar. Expertise in Go, Python, or similar for backend services and statistical computation. Experience with event-driven architectures, data pipelines, and large-scale data processing. Cloud environments (AWS, GCP) with infrastructure-as-code. Technical leadership: setting direction, breaking down complex problems, influencing across teams. Ability to translate statistical concepts for product and engineering audiences. Pay: Target pay ranges based on Geographic Zones* for Level 5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350* Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870** Zone 3: All other US locations - $182,600 - $251,0202** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: San Francisco; Palo Alto; New York City We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL - and we need another engineer to join us. WHAT YOU WILL WORK ON Examples of real work the team does: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernel interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. GOOD IF YOU TOUCHED ANY OF - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation).

Location: London We are looking for an AI Inference Engineer to join our growing team. We build and run the inference engine behind every Perplexity query and deploy dozens of model architectures at scale with tight latency and cost budgets. Our stack is Rust, Python, CUDA, and CuTe DSL. RESPONSIBILITIES: - New models support. Support transformer-based retrieval, text-generation, and multimodal models in our inference infrastructure, from weight loading, request scheduling and KV-cache management to support in API Gateway. - GPU kernels migration to CuTe DSL. Port our in-house CUDA kernels to NVIDIA's CuTe DSL so they run on GB200 today and are portable to Vera Rubin racks tomorrow. - Rust-native serving runtime. Develop our internal Rust-based inference server to solve all Python pains and keep up with rapidly growing traffic. - Performance optimisation. Profile and fix bottlenecks from network ingress through continuous batching and GPU kernels interleaving. - Reliability and observability. Build dashboards, alerts, and automated remediation so we catch regressions before users do. Respond to and learn from production incidents. WHO WE'RE LOOKING FOR: - Deep experience with GPU programming and performance work (CUDA, Triton, CUTLASS, or similar). Any other deep systems programming experience is a plus. - You understand modern LLM architectures and are able to bring them up reliably in a production environment. - You've built and operated production distributed systems under real load - ideally performance-critical ones. - Comfortable working across languages and layers: Rust for the serving runtime, Python for model code, CUDA/CuteDSL for kernels. - You own problems end-to-end. You can read a research paper on Monday, write a kernel on Wednesday, and debug a production incident on Friday. - Self-directed. You do well in fast-moving environments where the path forward isn't laid out for you. NICE-TO-HAVE: - ML compilers and framework internals: PyTorch internals, torch.compile, custom operators. - Distributed GPU communication: NCCL, NVLink, InfiniBand, RDMA libraries, model/tensor parallelism. - Low-precision inference: INT8/FP8/FP4 quantization, mixed-precision serving. - Profiling and debugging tools: Nsight Compute/Systems, CUDA-GDB, PTX/SASS analysis. - Container orchestration: Kubernetes, GPU scheduling, autoscaling inference workloads. QUALIFICATIONS: - 3+ years of professional software engineering experience with meaningful work on ML inference or high-performance systems. - Familiarity with at least one deep learning framework (PyTorch, JAX, TensorFlow). - Understanding of GPU architectures (memory hierarchy, warp scheduling, tensor cores). - Understanding of common LLM architectures and inference optimization techniques (e.g. quantization, speculative decoding, prefill-decode disaggregation). Final offer amounts are determined by multiple factors including experience and expertise. Equity: In addition to the base salary, equity may be part of the total compensation package.

Location: Dnipro, Ukraine; Kharkiv, Ukraine; Kyiv, Ukraine; Lviv, Ukraine; Odesa, Ukraine; Sambir, Ukraine; Islamabad, Pakistan; Punjab, Pakistan; Karachi, Pakistan; Pondicherry, India; Ahmedabad, India; Delhi, India; Hyderabad, India; Bangalore, India; Mumbai, India; Pilsen, Czechia; Praha, Czechia; Poland; Poznan, Poland; Warsaw, Poland; Lublin, Poland; Krosno, Poland; Krakow, Poland; Bratislava, Slovakia; Mirpur, Bangladesh; uttara, Bangladesh; Bucuresti, Romania; Sofia, Bulgaria; Zagreb, Croatia; Budapest, Hungary; Miskolc, Hungary Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Full-stack developer to join one of our clients ' team. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities: •Develop, optimize, and maintain Next.js-based front-end applications with pixel-perfect UI and high performance across all 6 portals • Build and maintain NestJS-based APIs, microservices, and scalable back-end architecture with Prisma ORM • Own Prisma migration workflows - schema changes, migration generation, seeding, and coordination with QA on data integrity • Deploy and manage infrastructure on AWS and Google Cloud Platform (dual-cloud architecture) • Implement and maintain multi-tenant architectures with tenant isolation at the code level - each portal has distinct user roles and data access patterns • Use Claude Code as your primary AI-assisted coding tool to accelerate development, generate code, debug, and refactor • Leverage Cursor as a secondary AI IDE for rapid iteration and code exploration • Orchestrate and configure sub-agents within Claude Code for complex multi-step development tasks (test generation, documentation, migration scripts, code reviews) • Build MCP (Model Context Protocol) integrations to connect AI tooling with platform data sources and workflows • Write code that passes SonarCloud quality gates on first push - understand code smell resolution, quality gate criteria, and static analysis compliance (4,484+ issues being burned down in waves) • Respond to and address feedback from 5 PR review bots (Devin, Bugbot, Codex, Copilot, Augment) in addition to human reviewers • Work on front-end aspects including data extraction tools, dynamic scheduling, dynamic pricing, and workflow automation interfaces • Optimize application performance for millions of concurrent users - efficient database queries, connection pooling, caching strategies (Redis/ElastiCache), lazy loading, and code splitting • Design and implement scalable data access patterns - pagination, cursor-based queries, read replicas, and query optimization for high-throughput workloads • Build systems that handle tens of millions of sessions without degradation - connection management, rate limiting, graceful degradation, and horizontal scaling patterns • Profile and resolve performance bottlenecks across the full stack: frontend rendering, API response times, database query plans, and cache hit ratios • Collaborate closely with designers, product managers, and QA to deliver features rapidly • Contribute to the Marcia Enabled ecosystem - building AI-powered features across the platform • AI-Assisted Development (Critical): Proven, daily experience using Claude Code (or equivalent agentic coding tool) as your primary development environment. You must demonstrate fluency in prompt engineering for code, sub-agent orchestration, multi-file refactoring via AI, and AI-driven test generation. • Claude Code & Sub-Agents: Hands-on experience configuring and using sub-agents for parallelized tasks - writing tests, generating docs, running migrations, and reviewing PRs via AI. • Cursor / AI IDE: Comfortable using Cursor as a secondary tool for code exploration, inline completions, and rapid prototyping. • Strong JavaScript/TypeScript and Next.js expertise (App Router, Server Components, Suspense) • Deep proficiency with NestJS for backend API development, microservices patterns, and Prisma ORM (schema design, migrations, seeding) • Scale & Performance (Critical): Proven experience building and optimizing applications serving millions of users with high concurrency. You must understand database query optimization, connection pooling, caching strategies, horizontal scaling patterns, and how to profile and resolve bottlenecks across the full stack. • Cost Optimization: Experience identifying and reducing unnecessary cloud spend, optimizing database costs, right-sizing infrastructure, and writing efficient code that minimizes compute and memory consumption at scale. • Proficiency with AWS services (ECS, Lambda, S3, CloudFront, RDS, SQS) and Google Cloud Platform (GKE, Cloud Run, BigQuery, Cloud Functions) • Experience in multi-tenant front-end and back-end architecture with tenant isolation • Redis/ElastiCache for caching and session management (this is core infrastructure, not optional) • pnpm monorepo experience - the codebase is a monorepo with pnpm workspaces. This is a daily workflow requirement • SonarCloud compliance - understanding quality gates, code smell categories, and writing clean code that passes static analysis • Proficiency with CI/CD pipelines (GitLab CI, GitHub Actions) and deployment automation • Comfortable with remote development environments - developers work on EC2 dev boxes accessed via Tailscale VPN, not local machines. SSH-based workflows required • Experience with real-time features: Socket.io, Redis, BullMQ • Security hygiene: IP allowlists, secret scanning, and push protection are enforced at the GitHub org level. Pushing secrets triggers alerts. Security consciousness is non-negotiable. Nice-to-Have Skills: • Experience building or integrating MCP servers and tools • Background in LLM integration (API calls, prompt management, token optimization) • Exposure to serverless architecture and microservices integration on AWS/GCP • Experience in healthcare/veterinary/scheduling-heavy applications

Location: India Workplace: Remote We are currently expanding our Support Services team at ClickHouse, which delivers exceptional service to our customers worldwide. We are seeking a Senior Consulting Engineer to join our global team, where you'll provide Consultative Support to our ClickHouse enterprise customers. The role uniquely blends hands-on engineering, development assistance, and high-tier support, performing functions across Consultative Support, Engineering, and Support. You will work directly with a set of strategic customers, providing guidance, case answers, and technical oversight. Consulting Engineers will also be assisting with support cases for customers in our Support L1 to L3 tiers, particularly when not assigned to larger projects. Responsibilities: - Project Engineering & Consulting (50%): Serve as a team member on customer projects, focusing on design, architecture, integration, implementation, and documentation. This includes research, benchmarking, performance and functional testing, reference architectures, sizing, migration, integration, development, and tooling. - Consultative Support (50%): Provide case-initiated consultative support to strategic users, customers, and prospects, assisting with implementation, onboarding, production launches, and Proof of Concepts (POCs). - Provide architectural, technical, and migration assistance, including hands-on tasks. - Work as a member of the Support Team, handling L1 to L3 cases and communications when not actively assigned to customer projects. - Partner closely with ClickHouse Product Management, Engineering, and Sales to contribute to the product roadmap and account plans. - Develop and assist with a wide range of content, including Public and Internal Documentation, Knowledge Base articles, ClickHouse Learning, Reference Architecture, blogs, and benchmark results. - Assist with hiring and mentoring new team members as we grow and scale. - Be available for scheduling and on-call needs to deliver high-quality 24x7 support in a global, distributed environment, including up to 35% estimated onsite regional travel. Requirements: - 5+ years of experience in Professional Services, Support, Technical Accounts Management, Engineering/SRE, and/or Project Management roles. - 5+ years of relevant industry experience in implementing, operating, and/or supporting scalable, fault-tolerant, distributed database management systems ("DBMS"). - Technical breadth and depth in relevant subjects such as DBMS, OLAP, Cloud/SaaS platforms, distributed systems software engineering, Linux/Unix, Kubernetes, System or Network Administration, and big data. - Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers. - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2) Bonus points: - Experience with ClickHouse - Experience with OSS and open-source technologies, as a user, community member, or contributor - Experience with Azure, GCP or AWS - Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others You'll love this role if: - You have excellent communication skills and thrive in a customer-facing role, collaborating closely with Support Services, Engineering, and Sales teams. - You are self-driven, curious, and eager to continuously learn and grow. - You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems. - You have a sense of adventure and urgency in building the most scalable, highest performing, largest, and fastest databases in the world. 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: Ho Chi Minh City WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. About WorldQuant BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. What You'll Do: Develop backend application services and APIs. Integrate systems with AWS and external cloud services. Optimize backend components for speed and scalability. Implement and manage caching, queuing and background processing. Participate in code reviews, technical design discussions and architecture decisions. Be an active member of an agile engineering team who is continuously looking to improve team performance. Work with leading cloud technologies (such as AWS, GCP). Work with leading open-source technologies (such as MySQL, PostgreSQL, ELK stack, Sentry, Redis, Git, etc.). Leverage modern AI tools and practices to increase developer productivity. Participate in periodic on-call duties. What You’ll Bring: 2+ years demonstrated experience developing scalable and robust software. Passion about software engineering, be strongly driven to build and run real-world applications at scale. Eagerness to learn and introduce new technologies. Be curious about what's happening in the tech world. Excellent coding skills, solid understanding of the broad Python ecosystem including Numpy, Pandas and Asyncio. Expertise in Python web frameworks such as Django, DRF, Flask or others. Experience with SQL databases (MySQL, PostgreSQL), including schema design, query optimisation and migrations. Experience with microservices, caching tools, data visualization, log collection and aggregation, search, queuing systems. Experience with Linux environment and shell scripting. Excellent debugging and problem solving skills. What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities every month: Local engagement events, Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! #LI-VP1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Pune, India SaaS Revenue & Financial Analyst — Flosum (Pune, India) About Flosum Flosum is a Salesforce-native platform company delivering enterprise-grade DevOps, data protection, and security solutions to some of the world's largest organizations. Our product portfolio spans Cloud DevOps, Data Migrator, Data Masking, Data Backup, Org Security, Cloud Trust Center, and Sandbox Synchronization — all built natively on the Salesforce platform. We serve enterprise customers across technology, energy, financial services, healthcare, and federal government. Flosum is a growth-stage company operating with the intensity and speed of a startup backed by the discipline of a mature operator. The Role We're hiring a SaaS Revenue & Financial Analyst who will own the measurement layer of our entire business. You will be the person who knows every number — ARR, net retention, expansion, churn, pipeline conversion, cost of acquisition, gross margin by product line, services margin, cash flow, and everything in between. You'll work across Salesforce (our CRM and billing system of record) and QuickBooks (our financial system) to build a unified, always-current picture of company performance. This is not a reporting role. This is an analytical role where you connect revenue operations data to financial outcomes and surface the insights that drive decisions at the CEO level. What You'll Own You will build and maintain our SaaS metrics infrastructure — ARR waterfall, cohort retention analysis, revenue recognition schedules, deferred revenue tracking, and unit economics by segment. You will reconcile Salesforce bookings data against QuickBooks revenue entries and ensure we have a single source of truth across both systems. You will produce monthly and quarterly financial and revenue packages for leadership, including variance analysis against plan. You will model scenarios for pricing changes, product bundling, geographic expansion, and headcount investment. You will monitor pipeline health and translate pipeline data into revenue forecasts with documented assumptions. You will own the data integrity between our CRM and accounting systems, flagging discrepancies before they compound. You will support board-level and investor-level reporting with clean, defensible metrics. What We're Looking For You have three-plus years of experience in SaaS financial analysis, revenue operations, or FP&A at a B2B software company. You are deeply proficient in Salesforce — not as a user, but as someone who understands opportunity objects, product schedules, contract structures, and reporting at a data level. You are equally proficient in QuickBooks Online, including chart of accounts design, revenue categorization, journal entries, and reconciliation workflows. You understand ASC 606 revenue recognition principles and can apply them to a multi-product SaaS business with annual and multi-year contracts. You can build financial models from scratch in Excel or Google Sheets — not from templates, from logic. You think in terms of cohorts, not just totals. You understand the difference between bookings, billings, and revenue, and you can explain why each matters. You are precise, skeptical of your own numbers, and obsessive about data integrity. Preferred Experience at a company with a mix of subscription revenue and professional services. Familiarity with Salesforce CPQ or native Salesforce quoting and contract objects. Exposure to investor or board reporting at a growth-stage company. Experience with Marketo or HubSpot data as it relates to CAC and attribution modeling. Location This role is based in Pune, India. You will work overlap hours with US Pacific Time for key syncs and will operate with significant autonomy outside those windows. Why Flosum You'll report directly into the CEO's operating rhythm. Your work will not sit in a queue — it will shape hiring plans, product investment, and go-to-market strategy in real time. Flosum is building the definitive platform for Salesforce lifecycle management, and we need someone who can measure every dimension of that growth with precision.

Location: Ireland About the Job: LaunchDarkly is looking for a Data Analyst to join our Data & Analytics team in Ireland. In this role, you will focus on building and scaling reliable data models, automating reporting, and supporting global analytics delivery. You will partner closely with the Senior Financial Analyst (Revenue & Metrics), Data Engineering, and business stakeholders to translate business logic into clean, scalable datasets. This role plays a key part in ensuring that defined metrics (e.g., ARR, NRR ) are consistently implemented, automated, and delivered across the organization. Responsibilities: Data Modeling & Transformation Build and maintain scalable data models using modern tools (e.g., Snowflake, dbt). Translate defined business logic (e.g., ARR calculations) into clean and reusable datasets. Metrics Implementation Implement and maintain standardized metrics (e.g., ARR, NRR , churn) in the data layer. Ensure consistency across dashboards and reports. Automation & Pipeline Support Work with Data Engineering to automate data pipelines and reduce manual reporting processes. Dashboarding & Reporting Develop and maintain dashboards that provide consistent and reliable visibility into business performance. Data Quality & Validation Validate data outputs, identify inconsistencies, and support reconciliation efforts across systems (e.g., Salesforce, billing systems). Global Collaboration Partner with teams across the US and EMEA to deliver timely and high-quality analytics outputs. Qualifications: Typically requires a minimum of 5 years of related experience in financial data analytics, business intelligence, or analytics engineering Strong SQL skills and experience working with structured and large datasets Experience with modern data tools (e.g., Snowflake, dbt, Looker or similar) Experience building and maintaining data models and dashboards Experience implementing business logic into data transformations Strong attention to detail and ability to ensure data accuracy Ability to work with global teams across time zones Clear communication skills About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: London Workplace: Hybrid At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a Solutions Engineer at Linear, you will be the technical guide across the customer lifecycle, from evaluation and close through onboarding and expansion. Partnering most closely with Sales, you will drive revenue by leading technical discovery, demos, proof-of-concepts, and solution design for prospects and existing customers. You will stay engaged through onboarding to ensure technical continuity, and provide clear handoffs to Customer Success that capture context, decisions, risks, and next steps. You will also codify repeatable patterns through demo environments, migration and integration playbooks, and enablement for new sales hires. Location & work mode This role is anchored to our London hub. We’re looking for someone who can work from our London office in Shoreditch 3 days per week (Mondays, Tuesdays, Thursdays), with flexibility around scheduling, as this role will be closely connected to in-person collaboration with our growing sales presence in the region. What You’ll Do - Act as the customer’s technical advisor across the lifecycle, partnering with Sales and Customer Success to ensure continuity from evaluation through onboarding and expansion, with a primary focus on pre-sales revenue impact. - Lead technical discovery and architecture for strategic prospects and existing customers; translate customer workflows into Linear configuration, data model, permissions, and integration patterns. - Run pre-sales technical evaluations end-to-end: deliver tailored deep-dive demos, proof-of-concepts, security and architecture reviews, and integration workshops that remove deal risk and accelerate time to close. - Design and execute migrations and implementation plans that set customers up for long-term success; provide clear handoffs to post-sale teams (context, decisions, risks, and next steps). - Build and maintain realistic, scalable demo environments and reference configurations that mirror enterprise workflows and enable Sales to tell a credible, repeatable story. - Codify lifecycle playbooks and enablement: create technical training for sales and post-sale teams, curate exemplars, and continuously improve the technical sales motion. What We’re Looking For - 5+ years in a Solutions Engineering, Pre-Sales, or similar role at a high-growth SaaS company, with experience supporting enterprise-scale deals. - Strong hands-on experience with OAuth2 and GraphQL, data migrations, and product integrations - Excellent communication skills—able to present complex technical concepts clearly to both engineers and executives - Experience with Github and git; Linear and/or Jira strongly preferred - Proven ability to build realistic, scalable demo environments and troubleshoot production issues - CS degree or engineering background strongly preferred - Collaborative mindset with experience partnering across Sales, Product, and Customer Success teams - Comfort with SQL and scripting (e.g., Python or JavaScript) What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites Learn how we think and work: - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - A story about our mission: Read Me https://linear.app/readme - A video series: Conversations on Quality https://linear.app/quality - Karri’s Every interview: Most SaaS Companies Got AI Wrong. Linear Waited. https://www.youtube.com/watch?v=8QcW9-dal0g - Read about our recent Series C Fundraise https://linear.app/now/building-our-way and Giving our team liquidity https://linear.app/now/giving-our-team-liquidity-through-linear-s-first-tender-offer - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.

Location: Remote, Global Workplace: Remote 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 Auth https://supabase.com/auth, written in Go https://github.com/supabase/auth (server) and with client libraries for TypeScript https://github.com/supabase/supabase-js, SSR https://github.com/supabase/ssr and for other frameworks and technologies, is one of the most popular products in the Supabase stack. We are seeking someone to help us build new and maintain existing Auth features. WHAT YOU’LL BE RESPONSIBLE FOR - Designing and implementing secure, scalable authentication features in Go and TypeScript. - Working across the stack: from server-side protocols to client-side libraries for frameworks like Next.js. - Owning the performance, reliability, and scalability of the Auth server across Supabase's infrastructure. - Contributing to the evolution of our Auth architecture, including support for OAuth, OIDC, SAML, and other protocols. - Planning and executing safe database migrations across a large fleet of Postgres instances. - Building and improving observability: metrics, tracing, alerting, and dashboards to keep the system healthy at scale. - Writing and reviewing RFCs as part of our product development process. - Collaborating with engineers across Supabase to ensure a seamless experience for developers using our tools. - Supporting the community and responding to developer feedback on GitHub, Discord, and other channels. YOU MIGHT BE A GOOD FIT IF YOU - (Required) Have 4+ years of professional experience writing and shipping Go in production. - (Required) Have 2+ years of professional experience working on an authentication system (implementing protocol support, maintenance at scale). - (Required) Have strong relational database experience (Postgres or MySQL); Postgres experience is a bonus. - Have strong knowledge of TypeScript in addition to Go (languages used daily). - Have strong knowledge of web technology fundamentals (cookies, sessions, JWT, HTTP, browser APIs). - Have good knowledge of and deep interest in authentication security (passwords, protocols such as OAuth, OIDC or SAML, cryptography fundamentals such as hash functions, signatures and ciphers). - Have experience working with multiple web frameworks like Next.js (or other SSR alternative in the JavaScript space) and traditional web frameworks like Ruby on Rails, Django, Laravel or equivalent (in any language). - Have good technical writing skills (RFC process is an important part of making changes to the Auth product). - Have hands-on experience building and operating services at significant scale. - Have deep understanding of systems-level concerns: memory management, concurrency patterns, and compute resource optimization in Go. - Have experience with Kubernetes and AWS (or comparable cloud platform) in a production setting. - Have solid grasp of observability practices — metrics, distributed tracing, structured logging, and alerting (e.g., Prometheus, Grafana, OpenTelemetry). - Have experience managing database schema migrations safely at scale. 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 Portugal, Portugal; Remote Poland, Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. Join Our Team as an AI-native Staff Backend Engineer!  Join one of our cross-functional teams in Motors, Real Estate, OLX Classifieds, or Platforms, working remotely from Portugal. Are you someone who is craving scalable problems and dealing with optimizations? You'll work with a creative, critical, and well-organized team from the comfort of your house, but as close as we have ever been! You will play a key role in enabling our organisation to scale efficiently. Who we are looking for: You can use agentic workflows (Claude Code, Cursor Agent, or equivalent) as your default, not as a novelty. You practice context engineering, not just prompt engineering;  you design the full information architecture an AI agent needs to succeed: repo structure, CLAUDE.md / AGENTS.md configs, relevant code context, memory, and tool access. You understand model routing trade-offs (e.g., when to use Haiku vs. Sonnet vs. Opus) and multi-agent orchestration. Strong ownership instinct: AI output is a first draft, not a deliverable; you validate, refactor, and take full accountability. You have strong Coding and Computer Science Fundamentals. Roughly ⅔ of your time will be hands-on technical work: designing solutions, steering and reviewing AI-generated code, developing new ideas, and reviewing others' contributions. The rest goes to cross-team influence, mentoring, and strategic alignment. Strong background experience in Golang, Java/Kotlin (preferred technologies), and able to work with PHP. Flexible and capable of adjusting to changing project requirements, roles, and backend technologies as needed. Scalable Systems Expertise. Experience with large-scale web applications, an economic-thinking mindset, and being able to design well-bounded future-proof domain systems, aligned with the business objectives. Deep expertise in scalable distributed systems, CI/CD, RESTful and GraphQL APIs, AWS, and relational + NoSQL databases. Big-picture thinker: aligns technical decisions with business strategy, influences without authority. Clear communicator in English across engineering, product, and leadership audiences. Self-starter who identifies what needs doing and takes initiative without waiting to be asked. Skilled Technical Leader and Mentor: Guide and support engineers by setting a strong example. As a Staff Engineer, you are a role model, leading by example and through your expertise. What you will be doing: Architect context pipelines for AI agents: curate what enters the context window (repo boundaries, domain knowledge, test outputs, CI feedback) so agents produce reliable, mergeable code, not just plausible code. Prepare task specifications that are agent-actionable (clear acceptance criteria, referenced modules, explicit constraints) Design and maintain agent-ready systems: well-bounded repos, comprehensive test suites as guardrails, CI/CD pipelines with structured output agents can parse and act on. Serve as an AI Champion: join and strengthen our growing AI Champion community, contribute to workshops, curate effective agentic workflows, and mentor engineers on AI-assisted practices. Contribute to org-level AI tooling evaluations and OLX AI practices repositories. Drive active migration from a legacy monolith to microservices, owning decisions on bounded domain decomposition. Working on making agentic workflows effective across a codebase whose boundaries are actively being redefined. Set the bar for GraphQL API design, RESTful contracts, database schema, and CI/CD quality across the tribe. Work with product and engineering leadership to identify high-value problems, propose initiatives, and drive impactful technical direction without direct authority Guide senior engineers in managing and reducing technical debt with AI as an accelerator, not a shortcut. Our Hiring Process: Recruiter Interview Managemnent Capabilities System Design Live Coding Our Benefits Permanent contract Salary + annual bonus up to 20% of your annual gross salary Work with and impact all OLX websites around the world Train and conference budget, and free access to Udemy courses Health insurance and life insurance MacBook Pro or a Windows Dell, along with the necessary accessories to make your work comfortable 100% remote work (and the possibility to work from our office in Lisboa) If you think this is the role for you, send your application in English and let’s talk! If you'd like to learn more about us take a look around our careers page and the OLX Group website. Follow us on Linkedin and check out our OLX Group Engineering Blog and Twitter Tech. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking an experienced Senior Basis Consultant to provide advanced SAP Basis support and ensure the seamless operation of our clients' SAP environments. The ideal candidate will bring extensive hands-on experience in SAP system administration, performance tuning, and system troubleshooting, playing a key role in maintaining system integrity and availability. Key Responsibilities: Perform advanced SAP Basis administration tasks including system installation, configuration, upgrades, and patch management. Monitor SAP systems to identify performance issues and proactively implement solutions to enhance system stability and efficiency. Manage database administration and tuning, ensuring optimal SAP HANA or other SAP-supported databases performance. Lead complex troubleshooting efforts across SAP landscapes and coordinate with cross-functional teams to resolve issues. Implement security policies and user administration to safeguard SAP environments. Provide mentorship and guidance to junior Basis consultants, promoting knowledge sharing and best practices within the team. Document procedures, system configurations, and changes for compliance and knowledge management. Collaborate with project teams on SAP system migrations, landscape transformations, and new implementations. Participate in on-call rotations to provide 24/7 support for critical SAP systems as required. Requirements Requirements: Bachelor’s degree in Computer Science, Information Technology, or a related discipline. Minimum 7 years of experience in SAP Basis consulting or administration roles. Expertise in SAP system installations, upgrades, and performance tuning, including SAP HANA. Strong knowledge of database management systems (e.g., Oracle, SAP HANA), and operating systems (Linux, Windows). Experience with SAP security, user administration, and transport management. Excellent problem-solving and analytical skills with attention to detail. Strong communication skills and ability to work both independently and collaboratively within teams. Experience mentoring junior team members and leading technical initiatives. Relevant SAP certifications such as SAP Certified Technology Specialist or above are highly desirable. Ability to handle multiple priorities in a fast-paced environment and participate in on-call support as needed. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Seattle, WA Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is shipping a wave of new products this year, and we’re investing heavily in the platform underneath all of it. That platform supports hundreds of engineers and carries high-scale production traffic every day — and it has grown faster than its foundations. This year is about closing that gap. Right now, too much of that work leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is turning that into paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure — a platform teams trust enough to stop thinking about, so they can focus on their products instead of ours. The concrete goal is on this year’s roadmap: spinning up a new region or application environment should take hours, not days. Getting there means building real multi-region, cross-account networking and a continuous-deployment flow teams can trust, then a self-service layer on top. We’re the container company building our own internal platform, so the bar for the easy path also being the safe path is high. You’d join a team of four, growing to seven this year — this is one of those hires. We’re looking for a senior engineer who can own significant parts of this platform end to end, drive projects to real production adoption, and raise how the whole team builds. RESPONSIBILITIES This is a senior, deeply hands-on role. You’ll own significant components, drive projects from design through production adoption, and shape the platform’s technical direction while helping teammates grow. Concretely, you will: - Turn ambiguous infrastructure problems into clear designs and working systems — contributing to RFCs and architecture reviews, and driving your projects to done. - Build self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations — with contracts and docs teams actually use. - Apply and help shape delivery standards with Terraform, GitOps on Argo CD, progressive rollout, and strong testing — including the continuous-deployment flow we’re missing today. - Strengthen the multi-tenant EKS foundations for reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and multi-region, cross-account connectivity. - Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics. We measure this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs. AI-ASSISTED OPERATIONS We’re investing in AI-assisted and agentic workflows to cut operational toil, and we care that they stay safe, auditable, and human-reviewed. You’ll help shape where they earn their place and where they don’t. Early targets: - Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page. - Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production. - Onboarding and readiness assistants that answer the questions our experts answer today. If you’ve built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work. ON-CALL Operational ownership is part of the job. You’ll join the rotation after onboarding and shadowing, and help improve on-call itself: better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention. QUALIFICATIONS - 6+ years of hands-on software engineering in backend, infrastructure, or platform engineering, though we weight real depth and impact more heavily than exact tenure. - Strong software engineering in Go or a similar language: design, testing, debugging, review, and long-term maintainability. - A track record of building, shipping, and operating cloud services or infrastructure in production. - Deep expertise in at least one of Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms — plus solid Linux and production-ops fundamentals. - Experience shaping technical direction and working effectively across teams. - Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups). - Bachelor’s in CS/Engineering or equivalent practical experience. Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); driving migrations or adoption programs across teams. You don’t need every item here. We value strong systems judgment, real depth in at least one area, and curiosity across the rest. WHAT TO EXPECT First 30 days - Build context, meet partner teams, ship your first change, and shadow on-call. First 90 days - Own a meaningful platform component or project with a clear plan and metrics, and take an improvement from design to production. One-year outlook - Own a significant part of the platform and become a go-to for it — contributing to a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establishing durable patterns your team relies on. Docker considers visa sponsorship on a case-by-case basis based on business needs. Compensation & Equity United States: $160,900 – $260,700 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

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 The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile gaming industry. You will specifically join VGP Team. VGP automates repetitive and high-volume growth tasks, starting with the distribution of over 25,000 creatives across multiple ad networks and campaigns per year, and continuously improves decision-making, performance monitoring, and playable ads production. The platform is evolving to integrate AI-driven campaign launches, bidding automation, and expanded network coverage. ROLE We’re looking for an Engineering Lead (TypeScript/Node.js) to join our Engineering & Data team. As an Engineering Lead, you'll combine strong individual technical contributions with team leadership. You'll be responsible for the technical direction of your squad, the growth of your engineers, and the delivery of high-impact projects. This is a hybrid IC/manager role — you'll still write code, but your leverage is through the team. - Lead the technical direction and architecture for your squad's domain - Drive design reviews, set coding standards, and ensure engineering excellence - Own the full delivery of complex, cross-team technical initiatives - Build, scale and operate Node.js/TypeScript backend services on AWS/EKS - Define the infrastructure and reliability strategy for your team's systems - Partner with Product and Data to translate business goals into technical roadmaps - Grow engineers through 1:1s, code reviews, mentorship and technical coaching - Identify systemic risks and drive improvements before they become incidents - Be an ambassador for engineering culture: psychological safety, pragmatism, and craft PROFILE (MUST HAVE) - 7+ years of professional software engineering experience - 2+ years of experience leading an engineering team (formal or informal) - Expert-level proficiency in TypeScript /Node.js - Good knowledge of industry best practices (SOLID, KISS, YAGNI, DDD, TDD...) - Proven ability to own and deliver large technical projects with cross-team dependencies - Excellent communication and stakeholder management skills - Track record of growing engineers and building high-performing teams - Ability to balance speed-of-delivery with long-term technical health PROFILE (NICE TO HAVE) - Advanced PostgreSQL — schema design at scale, performance tuning, migrations - Experience with VueJS or frontend architecture decisions - Experience with AWS infrastructure (EKS, Lambda, RDS/Aurora, SQS/SNS, CloudFront, ALB) - Infrastructure-as-code (Terraform, CDK, Helm) at scale - Observability and SRE practices: SLOs, error budgets, on-call management - Experience operating in a hyper-growth or gaming/consumer product company - Platform engineering or developer experience background OUR STACK - TypeScript ; Node.js ; AWS ; Terraform ; CDK ; Helm 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: Limassol Cyprus Workplace: OnSite About us Scorewarrior is a game developer and publisher based in Limassol, Cyprus. We are working on Total Battle — a cross-platform MMO 4X strategy game with a deep social system and extensive player interaction. We have 2 million monthly active players and continue to grow with the goal of becoming the #1 game in the genre. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. We are looking for a Relocation Specialist to join our Relocation Team. In this role, you will support employees throughout all stages of relocation, immigration, and business travel, ensuring a high level of service, accuracy, and genuine care for people. This position is a great fit for someone who values structure, documentation, and well-defined processes, is comfortable working with multiple tasks in parallel, and enjoys helping people relocate and adapt to a new country. Key Responsibilities - End-to-end coordination of employee relocations to Cyprus, including: a) visa and immigration support; b) relocation with family members and dependents; c) coordination of pet relocation; d) preparation, review, and management of immigration documentation for employees and their families. - Planning and coordination of employee business trips worldwide. - Monitoring and managing timelines for residence permits, visas, and work permits for employees and their family members, including renewals and status changes. - Providing support to employees and candidates on matters related to immigration, travel, and long-term planning, including citizenship-related questions. - Close collaboration with HR, Recruiting, Hiring Managers, and external partners. - Active participation in the development and continuous improvement of relocation and travel support processes. Candidate Requirements - Higher education degree. - At least 2 years of experience in Global Mobility/Relocation or similar roles in HR. - Currently based in Cyprus. - Solid knowledge of Cyprus immigration requirements and practical experience working with the Migration Department. - Hands-on experience with: a) Google Spreadsheets; b) task management tools (Master Task, AirTable, Asana, or similar); c) knowledge bases (Notion, Confluence). - Strong attention to detail, accuracy, and a structured approach to work. - Ability to work effectively in a fast-paced, multitasking environment and manage priorities. - Knowledge of Greek is a strong advantage. We Are Looking for Someone Who - Can plan and manage multiple processes simultaneously. - Works confidently and calmly with deadlines. - Is able to explain complex topics in a clear and approachable way. - Has a strong service mindset and genuinely cares about people. - Is comfortable working independently while valuing teamwork. - Is not afraid of non-standard cases and is ready to look for solutions while staying positive and rational. What We Offer - The best team in the world! - An excellent remuneration package, including a 13th salary. - A modern and sunny office space close to the sea. - Private health insurance for you and your family members. - A monthly school allowance for your children at pre-school and school-age. - Lunch compensation. - Personal development opportunities paid for by the company: professional and language courses, books, etc. - Bonuses for outstanding results, years worked, getting married, and the birth of a child. - Monthly office parties and epic, annual offsite company birthday and Christmas parties.

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity You will join our Data & Analytics team, which owns two core data domains end to end: • Public market data — trades, quotes, funding, and full order-book data continuously captured from global crypto exchanges at petabyte scale. • Proprietary trading data — orders, fills, positions, balances, and settlement activity streamed from internal desks and systems. We are one team rather than separate engineering and analytics functions. The same people build pipelines, model data, validate its correctness, and answer the business questions it supports. You will see data problems through end to end: from the exchange connection or internal source through to the analysis produced from it. This is an exciting time to join. We are rebuilding the platform on ClickHouse, Apache Iceberg, and Kafka while continuing to support live trading. The work combines substantial platform design with hands-on ownership of business-critical data. What You’ll Be Doing • Build and operate pipelines that bring market and trading data into our platform, including ingestion, parsing, normalization, validation, and storage. • Build and extend Python- and SQL-based datasets and data models used by trading desks, quants, research, and analytics teams. • Own data correctness through source reconciliation, data-quality and completeness checks, gap and duplicate detection, backfills, and replays. • Investigate discrepancies end to end. Trace unexpected numbers through the pipeline to the source and fix root causes rather than symptoms. • Onboard new exchanges, venues, products, and internal data sources, addressing real-world external-feed behaviour including authentication, rate limits, disconnects, missing history, and schema changes. • Support data users through query support, data access, APIs, and client libraries. • Operate what you build, including monitoring, alerting, and incident response for owned pipelines and datasets. • Contribute to the migration toward ClickHouse, Iceberg, Kafka, and Kubernetes by running new and legacy paths in parallel, reconciling results, and cutting over safely. • Use AI coding assistants and LLM tooling to improve development, debugging, and data investigation, while applying sound judgement and independently validating outputs. • Depending on team needs and your strengths, develop deeper expertise in either real-time platform and pipeline engineering or proprietary trading-data datasets and analysis. Both are core to the team. What We Look For In You • Bachelor’s degree or above in Computer Science, Engineering, or a related quantitative field. • 3–5 years of hands-on experience in data engineering, software engineering, or analytics engineering. • Strong production-quality programming skills in Java, Python, or both. • Sound data-modelling judgement. You can design schemas that scale with evolving data and use cases, including keys, granularity, partitioning, and schema evolution. • Ability to reason about query behaviour and performance over large datasets. • Demonstrated production ownership. You have designed, delivered, and operated a pipeline, service, or dataset that other teams depend on, including its reliability, monitoring, and failure modes. • Rigour in data correctness. You validate outputs before they reach users, cross-check against independent sources where possible, and treat silent data errors as serious defects. • Structured problem-solving under uncertainty. You can decompose ambiguous data discrepancies, form and test hypotheses, and reach defensible conclusions while clearly stating assumptions and outstanding verification needs. • Strong initiative and persistence. You identify gaps, act without waiting for direction, work through difficult problems, and get up to speed quickly on unfamiliar systems and domains. • Strong communication skills in both Chinese and English. Nice to Have • Experience in crypto, market data, trading systems, or trading operations. • Strong Java systems-engineering capability, including JVM and concurrency fundamentals, profiling, performance tuning, and reliable high-throughput services. • Strong Python data-engineering capability, including pandas, Polars, PyArrow, or Spark; experience with vectorisation, memory behaviour, and processing datasets larger than memory. • Experience delivering tested, packaged Python tooling that other teams depend on. • Depth in trading-data analysis, such as reconstructing positions from fills, balances from transfers, or PnL across settlement or expiry boundaries. • Experience reconciling derived trading data against authoritative sources and resolving discrepancies between systems. • Experience with real-time streaming pipelines, ideally Kafka, including ordering, gap detection, checkpoints, restart recovery, and replay. • Hands-on experience with time-series or analytical databases, including partitioning, retention, and query-performance tuning at scale. • Exposure to Apache Iceberg, Parquet, Spark, gRPC, Kubernetes, or cloud data infrastructure. • Experience building connectors to external REST or WebSocket APIs. Working Model • Hong Kong, onsite (in-office). Perks & Benefits • Competitive total compensation package. • Learning and development programs and education subsidy for employees’ growth and development. • Various team-building programs and company events. • Wellness and meal allowances. • Comprehensive healthcare schemes for employees and dependents. • More that we would love to tell you about during the process. Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The MetaTech team is the engine behind the evolution of WorldQuant's proprietary research platform — empowering Researchers and Portfolio Managers to create, deploy, and lead template trading strategies at scale. MetaTech owns both foundational infrastructure and the researcher-facing features that expand what is possible within the platform. The team responds rapidly to emerging user needs while driving long-term platform modernization, spanning simulation engine upgrades, orchestration services, caching infrastructure, and the enablement of entirely new classes of strategies. As a Software Engineering Lead in MetaTech, you will be responsible for the technical direction of a platform that sits at the intersection of quantitative research and large-scale distributed systems. You will need deep fluency in both worlds: the ability to engage credibly with Researchers and PMs about their workflows and goals, and the technical depth to architect, deliver, and modernize the systems that power them. You will lead the team's roadmap across multiple workstreams — from expanding the range of supported strategy types to infrastructure modernization — and lead a team of engineers to implement it. The Role Drive the MetaTech technical roadmap, balancing researcher-facing feature delivery with foundational infrastructure investment Lead architectural design and hands-on development across the platform, including simulation orchestration, caching, monitoring, and strategy lifecycle management Engage directly with Researchers and Portfolio Managers to understand their needs and translate them into well-scoped technical solutions Drive infrastructure modernization efforts, including simulation engine migrations, distributed caching, and platform observability Partner with cross-functional stakeholders across Research, Platform, and Operations to ensure reliable, scalable delivery Identify opportunities to integrate agentic workflows into existing platform systems, enabling automation of complex, multi-step research and operational processes Manage and mentor a team of engineers, fostering technical excellence and accountability What You'll Bring Bachelor's degree in Computer Science, a related field, or equivalent job experience 6+ years of hands-on industry experience building scalable, high-reliability backend systems Deep familiarity with the Python ecosystem, particularly for data-intensive and systems-level work Strong systems engineering instincts: distributed computing, service orchestration, and large-scale data pipelines Working knowledge of quantitative investment and research concepts, with an ability to engage fluently with quant researchers and PMs Experience with simulation systems, financial data infrastructure, or research platform engineering is a strong plus Working knowledge of a Unix/Linux environment Excellent interpersonal and communication skills — able to bridge technical and non-technical audiences Excellent debugging and problem-solving skills, with a bias toward root-cause analysis over workarounds Solid understanding of data structures, algorithms, and system design trade-offs Relational and non-relational database experience C++ 11 (or greater) experience is a plus, particularly for simulation or performance-critical contexts Previous people management experience is a plus By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.