Вакансии

StellarTech is building a Customer Tech Care unit - a specialised engineering squad embedded within Customer Care, whose sole purpose is to technically resolve every user issue that cannot be solved by a standard support agent. As the Lead, you will be the technical authority and organisational backbone: triaging escalated tickets, directing your team of automation engineers, coordinating with product and infrastructure engineering, and personally architecting or approving every solution shipped. This is not a traditional support lead role. You will spend the majority of your time in systems - querying databases, reproducing bugs in staging, reading logs, designing automation flows, and evaluating LLM agents. You are the bridge between what support teams observe and what engineering teams build. What You’ll Do: 1. Team Leadership & Unit Operations • Own day-to-day operation: capacity planning, sprint structure, task distribution, and quality standards. • Mentor and grow automation engineers; define code and architecture review processes. • Establish and track unit KPIs: ticket deflection rate, automation coverage ratio, recurrence prevention. • Report unit performance to management; propose headcount and tooling investments backed by data. 2. Escalation Triage & Technical Investigation • Serve as the primary technical intake point for all escalated issues: reproduce problems, isolate root causes, scope resolution paths. • Access production/staging systems, internal dashboards, and databases (SQL/NoSQL) to investigate issues directly. • Analyse logs, event streams, payment records, subscription states, and user journey data. • Own the diagnostic protocol and ensure team members follow structured investigation runbooks. 3. Automation Solution Architecture • Design and oversee automation solutions that resolve recurring issue categories without human intervention. • Architect multi-step pipelines spanning Zendesk triggers, internal API calls, and database state changes. • Define the solution taxonomy (macro vs. API vs. LLM agent vs. DB script) and enforce it across the team. • Approve all automation flows before production deployment; enforce rollback and monitoring standards. 4. LLM & AI Agent Delivery • Lead design and deployment of LLM-based agents capable of diagnosing and resolving issues autonomously. • Define agent architecture for context injection: user profile, subscription state, events, ticket history from DB. • Oversee training loop quality: curate high-quality resolved tickets to improve agent accuracy. • Evaluate agent performance quantitatively; own escalation decisions vs. further automation. 5. Engineering–Support Interface • Act as authoritative translator between support teams (who observe symptoms) and engineering teams (who own systems). • Maintain a shared escalation taxonomy and SLA matrix agreed with both Support Director and Engineering leads. • Own the feedback loop: unit diagnostic output becomes the engineering bug report that ships a fix. • Coordinate with Product, Backend Engineering, and Data teams to secure required system access and API endpoints. 6. Documentation & Knowledge Management • Maintain a live runbook library: automation flows, escalation paths, investigation procedures. • Ensure every automation has a documented failure mode and rollback path. • Create onboarding materials for new automation engineers. What We’re Looking For: • 5+ years in automation engineering, technical support engineering, or platform engineering - with 1–2 years in a team lead or tech lead capacity. • Demonstrated ability to investigate production issues via direct system access: logs, SQL/NoSQL databases, API responses, event streams. • Hands-on experience building LLM-based agents or AI-driven automation (OpenAI API, function calling, embeddings, or equivalent). • Strong Python skills; production-quality scripts for automation, data remediation, and API orchestration. • Experience designing Zendesk automation pipelines (triggers, automations, ZAF apps) or equivalent support platforms. • Event-driven architecture and API integration patterns (REST, webhooks, async queues). • Track record owning support metrics: deflection rate, FCR, CSAT, time-to-resolution. Nice to have: • Low-code/no-code orchestration tools (n8n, Zapier, Make, Rivet) in hybrid architectures. • B2C or subscription-based product background with high user volume and complex billing/access state. • CI/CD pipelines and production-level monitoring for automation systems. • Data engineering concepts: pipeline design, idempotency, retry logic, dead-letter queues. • RAG architectures, vector databases, or knowledge-base-augmented LLM agents. • Experience in a regulated environment (GDPR, PCI-DSS, SOC 2). Why You'll Love Working With Us: Innovative Environment: We're all about trying new things and pushing the envelope in EdTech. We are global remote Health: company-provided medical expense compensation. AI solutions: АІ subscription and other tools. Balance: Flexible paid time off, you get 21 days of annual leave + 10 bank holidays. Collaborative Culture: Work alongside passionate professionals who are as driven as you are. Interview Stages: HR Screen/Introduction Technical Interview Technical Assignment Final Interview

Location: Vancouver, BC We’re looking for a Senior Software Engineer to join our growing AI organization in Vancouver. Asana is pioneering a new category of technology as the human-agent operating system, doubling down on our AI Suite to move our customers toward expansive, end-to-end intelligent orchestration. We are expanding several of our key AI engineering teams: depending on where you land, you might lead architecture across our core agentic runtime, develop high-throughput evaluation and safety infrastructure, or build the sophisticated customer-facing builders and canvas surfaces that allow enterprises to coordinate humans and AI agents seamlessly. Because this is an organization-wide search across our AI teams, you will participate in a single, streamlined technical interview process, and we will work with you to match you to the ideal team at the end of your interview experience. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Drive the technical design, architecture, and end-to-end delivery of medium-to-large projects across our AI roadmap, guiding and collaborating with multiple engineers. Design robust, extensible, and performant systems that support agentic execution, prompt-driven automation, model orchestration, and strict enterprise-grade data boundaries. Solve complex technical problems by weighing technical debt, developer velocity, execution risk, and direct business goals. Anticipate customer and architectural risks early, breaking down complex, ambiguous product visions into clear engineering milestones and actionable tasks. Champion technical excellence, write high-leverage design docs, run meaningful retrospectives, establish testing norms, and mentor engineers across levels to raise the engineering bar. Partner closely with Product Managers, Engineering Managers, Product Designers, and Data Scientists to define requirements, clarify trade-offs, and align technical direction with Asana's broader product strategy. About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. 6+ years of professional software engineering experience designing, building, and maintaining production distributed systems, microservices, or complex full-stack architectures. Demonstrated track record of technical leadership across multiple services or codebases, with practical experience or deep interest in LLMs, agentic patterns, evaluation pipelines, retrieval-augmented generation (RAG), or real-time streaming infrastructure. Proven ability to author comprehensive technical design docs, evaluate trade-offs (e.g., latency, cost, determinism, maintainability), and make durable architectural decisions. Track record of acting as a Tech Lead or Area of Responsibility (AoR) owner—successfully driving multi-contributor projects from ambiguity to delivery while navigating cross-team dependencies. Passion for mentoring and coaching fellow engineers, providing actionable code and design feedback, and establishing long-term engineering best practices. Deep empathy for the end-user experience, understanding how backend architecture and model behaviours directly affect user trust, interface latency, and workflow reliability. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $176,000 -$200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to 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 law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Remote, AMER Workplace: Remote 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. We’re seeking a Customer Solution Architect Team Lead to captain a high-performing team of Customer Solutions Architects and help drive the adoption of Supabase across a diverse range of customers: from agile startups building towards their first launch to established brands with highly scaled workloads. This role will support the East Coast region across the Americas. As the CSA Team Lead, you will be responsible for both people management and customer outcomes - supporting team execution while developing repeatable best practices across pre-sales discovery, proof-of-value onboarding, and technical success. WHAT YOU’LL DO At Supabase, CSA Leads oversee a portfolio of high-value customers by empowering their team to deliver technical excellence and long-term customer success. You'll work directly with the team to: - Hire, coach, and grow a global team of CSAs who serve as trusted technical advisors to our customers. - Collaborate with Sales, Product, and Engineering to define and scale the CSA motion across the full customer journey—from discovery through adoption and renewal. - Create structured onboarding, training, and development plans for CSAs to level up in technical storytelling, Postgres optimization, and customer success strategy. - Ensure CSAs consistently deliver successful outcomes, unblock adoption, and drive value for paid Team and Enterprise accounts. - Work directly with strategic customers when needed—especially during complex escalations, architectural deep dives, or critical onboarding milestones. You'll be joining our team to support Supabase Team & Enterprise customers, where you will be expected to lead and innovate around the following areas of responsibility: PRE-SALES DISCOVERY: - Lead and review technical discovery led by CSAs to uncover business and technical objectives, set appropriate expectations of the Supabase platform, and define the criteria for success. - Guide CSAs in designing and presenting platform demonstrations tailored to high-value customers, helping them clearly articulate the value of the Supabase platform and team. - Collaborate with Growth team members to size deals, provide anticipated usage estimates, and identify potential workloads supported by the Platform. PROOF-OF-VALUE ONBOARDING - Support your team in defining and executing proof-of-value scopes that balance business outcomes with low-friction onboarding. - Ensure CSA-owned timelines, success criteria, and engagement tactics result in a high proof-to-conversion success rate. - Build reusable onboarding flows (email sequences, docs, templates, webinars) that accelerate time-to-value for new customers. CUSTOMER SUCCESS & EXPANSION - Help your team build detailed account plans focused on both short-term adoption and long-term expansion opportunities. - Provide ongoing technical coaching for CSAs conducting architecture reviews, schema design evaluations, and performance tuning for production workloads. - Partner cross-functionally to advocate for customer feedback, share emerging customer needs with Product & Eng, and communicate roadmap milestones back to customers. TRUST & PLATFORM ADVOCACY - Coach CSAs to act as internal and external champions of Supabase, building trust with customers through consistency, clarity, and deep product expertise. - Uphold a standard of excellence in customer engagement, ensuring Supabase becomes embedded in the way our customers build. PREFERRED EXPERIENCE - 6+ years of experience in Solutions Architecture, Technical Account Management, or Database Engineering. - 2+ years of people management or team leadership experience, ideally in a high-growth, technical startup environment. - Strong background with relational databases (PostgreSQL preferred), with a deep understanding of schema design, indexing, and query performance. - Hands-on experience building modern web applications using frameworks like React, Svelte, Vue, or Node.js. - Clear, confident technical communicator and storyteller. Must be able to distill complex technical topics into actionable outcomes for customers and team members alike. - Experience navigating stakeholder alignment, conflict resolution, and collaborative problem-solving across teams. - Familiarity with tools such as HubSpot, BigQuery, and internal BI dashboards. 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: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Building Infrastructure behind 5.5 Billion Daily Ad Requests The Cloud Engineering team is the core of our tech unit, the underlying infrastructure that every other team depends on to ship software and grow the business. Behind rewarded ad experience, the partner-facing dashboards, the ML pipelines, and the ad delivery systems serving millions of users daily, there is one team making sure it all stays online, performant, and cost-efficient. 400 million user events daily, traffic spikes of 150,000+ requests per second, and a data lake that feeds data scientists, BIs, and real-time ML inference across the entire ad stack. To handle this reliably and cost-efficiently, the team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions everything through Terraform. Rather than defaulting to managed AWS services, the team actively replaces them with open-source alternatives like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit as part of a deliberate move toward cloud-agnostic architecture. Cost efficiency is treated as an engineering constraint, not an afterthought, including AI-based anomaly detection on infrastructure costs. Your Mission & Who We Are Looking For: - 3+ years in DevOps, SRE, or Platform Engineering. You've designed and operated cloud infrastructure at scale, with hands-on experience deploying and managing containerized applications in Kubernetes. At adjoe, you'll be working across a stack that includes Kafka, Druid, Airflow, Spark, Terraform, and Gitlab running on Kubernetes clusters across data centers. - Deep in the AWS ecosystem. You have a strong understanding of AWS services (EKS, DynamoDB, SNS, SQS, IAM, Lambda) and manage infrastructure as code through Terraform. You know the tradeoffs between managed AWS services and open-source alternatives, and have opinions about when each makes sense. - Microservice event-driven architecture is your daily context. You understand how microservices communicate: topics, queues, object storage, and can support backend teams building high-performance Go services across distributed environments. - Reliable CI/CD is a product requirement. You build pipelines that are fast, predictable, and low-maintenance, ensuring smooth delivery without becoming a bottleneck. - Hands-on with emerging infrastructure. You're comfortable migrating existing workloads to self-hosted solutions as well as introducing new tools boost business results. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Hamburg Workplace: Hybrid adjoe https://adjoe.io/ is a leading mobile ad platform developing cutting-edge advertising and monetization solutions that take its’ app partners’ business to the next level. Part of the applike group https://applike-group.com/ ecosystem, adjoe is home to an advanced tech stack https://adjoe.io/company/adtech-stack/, powerful financial backing from Bertelsmann, and a highly motivated workforce to be reckoned with. Meet Your Team: Fraud Operations Our Fraud Operations team tackles one of adtech's biggest challenges: fraud. As a specialized operational force within Anti-Fraud, we actively investigate, reproduce, and mitigate abuse to prevent fraud from impacting our partners' business. At the core of our day-to-day work is rapid exploit analysis and telemetry forensics across Android and iOS platforms, dissecting device manipulation, hooking frameworks, and emulator-driven abuse. Partnering closely with core SDK and Backend teams, we query billions of daily events across our distributed data stores (Trino, ScyllaDB, DynamoDB) to isolate suspicious traffic anomalies in real time, translate complex attack vectors into actionable detection heuristics, and deploy pragmatic mitigations directly across our Go-based services. This means working hands-on with cutting-edge tech and adversarial forensics to continuously outsmart even the most creative tactics. Your Mission & Who We Are Looking For: - AdTech & Anti-Cheat Domain Expertise: You understand the mechanics of digital advertising (attribution, publisher monetization, traffic quality) or bring experience from adjacent anti-abuse environments like gaming anti-cheat. You will act as the escalation point for BI, Product, and Support, translating complex abuse patterns into concrete technical solutions. - Reverse Engineering & Exploit Analysis: You have an adversarial security mindset. While our core SDK team develops production client libraries, you understand iOS and Android internals well enough to decompile binaries, understand and use hooking of APIs and work with frameworks to root/jailbreak devices (e.g., Magisk, Xposed, KernelSU, Dopamine), and reproduce emulator- or bot-driven exploits in a sandbox environment to find the root cause. - Large-Scale Telemetry & Data Forensics: You can query and analyze billions of daily events across distributed databases (Trino SQL, DynamoDB, ScyllaDB). Using data analysis tools and LLM-assisted workflows, you quickly isolate anomalous clusters, model suspicious traffic patterns, and turn raw telemetry into actionable detection heuristics. - Distributed Systems Observability & Profiling: You are comfortable working with high-throughput event pipelines. Leveraging Grafana, Kibana, and distributed tracing, you monitor system health, diagnose bottlenecks across Kafka and SQS queues, and verify that detection APIs maintain low-latency response times under heavy load. - Technical Leadership & Team Enablement: You will serve as the technical lead for our new Fraud Operations unit within the Anti-Fraud Solutions team. Partnering with the Product Lead, you will drive technical strategy, conduct meaningful code and architecture reviews, and mentor engineers. We value clear communication and pragmatic decision-making over years of formal management hierarchy. - Pragmatic Engineering & Rapid Mitigation: You are a hands-on engineer who can read, debug, and review Go microservices without needing to be a Go purist. Working alongside Backend, Mobile, and Data Science teams, you will prototype detection logic, deploy verified mitigation rules, and automate responses to emerging attack vectors. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.   - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Berlin, Germany Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Founding Engineering Team Lead to join one of our clients ' team in Berlin. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Key Responsibilities: Lead and grow a small, high-performing engineering team while remaining hands-on Design, build, and review production backend and platform code alongside the team Own delivery of the engineering roadmap, balancing speed, quality, and security Act as a technical leader by setting architecture direction and enforcing engineering standards Contribute directly to critical features, integrations, and platform foundations Establish lightweight engineering processes that enable fast execution without bureaucracy Mentor engineers through code reviews, pairing, and technical guidance Contribute hands-on in design and build architecture, configure systems, code 70% of the time in GoLang. Remove blockers and unblock delivery across backend, frontend, data, and DevOps Collaborate closely with CEO, CPTO, and product leadership on technical and execution decisions Support hiring, onboarding, and technical evaluation of engineers Foster a culture of ownership, pragmatism, and low ego Build whole Security platform setup from scratch Partner closely with backend and AI engineers to design secure service boundaries and deployment models Troubleshoot and resolve complex production incidents across infrastructure, networking, and application layers Build PoCs and validate infrastructure and security design decisions in an early-stage environment Support compliance readiness by enabling controls, logging, and evidence collection for security frameworks Continuously improve platform cost efficiency, reliability, and operational maturity This role reports directly to CEO & CPTO Must have skills: 10+ years of professional software engineering experience 3+ years of experience leading engineering teams while remaining hands-on 3+ years of GoLang experience 3+ years experience with AWS in production environments Strong code quality bar and experience with architectural reviews Ability to context-switch between technical topics and people leadership Strong execution mindset and comfort operating under ambiguity Hands-on coding mentality; can build things from scratch including security architecture yourself Hands-on experience with Docker, Kubernetes (EKS) and containerized workloads Experience with CI/CD pipelines (GitHub Actions or similar) Experience with monitoring, logging, observability (Grafana, OpenTelemetry, Prometheus) Experience with Coding CoPilots (Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.) Knowledge of Experience supporting production SaaS platforms High ownership mentality, startup mindset, and ability to move quickly Experience in startup or scale-up environments Low ego, high commitment, and a true tech startup mentality Excellent English communication skills Nice-to-have requirements: Previous experience as a founding or early-stage Engineering Manager Experience in cybersecurity , identity, or enterprise SaaS platforms Exposure to DevOps, SRE, or data engineering Experience scaling teams and systems simultaneously Experience with security architecture, identity security, or security engineering Familiarity with compliance frameworks (NIS2, DORA, ISO 27001, SOC 2) Understanding of OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts Familiarity with cloud identity and security controls (e.g. IAM, CloudTrail, Azure Active Directory / Entra ID ) Hands-on with SIEM platforms such as Splunk, Microsoft Sentinel, or IBM QRadar Experience designing permission models, identity graphs, or access control frameworks Knowledge of tokenization, Zero Trust principles , least privilege, and continuous verification Experience with Security related to AI/LLM systems, agent logic, or willingness to learn fast Familiarity with AI agent behavior , LLM security, or agent sandboxing Previous experience in cybersecurity , identity startups You are a fan of rock or metal music Excellent German communication skills Benefits: Founding Team Member Equity — ESOPs in a well funded cybersecurity company. Competitive Compensation — salary aligned with market, flexible early-stage arrangements possible. Founding Team Member Status — shape the company from day one and own critical security technical decisions. Fresh Funding Secured — immediate runway to build, hire, and execute fast. Security Contribution — contribute to security tech architecture across identity, AI agents, and enforcement. High Autonomy — freedom to design and build without corporate overhead. Work with a Technical CEO and CPTO — fast iteration, strong alignment, clear direction. Cutting-Edge Domain — identity security, SaaS-to-SaaS access, AI agent governance. Massive Learning Curve — quickly gain depth in cybersecurity, identity, and AI systems. Fast Career Path — opportunity evolve into higher leadership as we scale the engineering team Berlin Location — top-tier tech environment with strong cybersecurity and AI ecosystems. Direct Impact — your architecture and code become the foundation of the entire platform. Best Equipment and Tools - High quality equipment and modern tools to help you do your best work from day one. Team Offsites - Regular team offsites designed to build strong connections, alignment, and shared momentum.

Задачи: — Разработка и поддержка real-time feature store на базе Apache Flink для ML-решений — Создание и масштабирование потоковых конвейеров обработки данных объемом в терабайты ежедневно — Обеспечение качества данных, валидации и мониторинга данных end-to-end — Поддержка низколатентных (<100ms p99) потоков данных для систем выбора рекламы и ценообразования — Тесное взаимодействие с командами Data Science, Backend и Infrastructure Требования: — Опыт построения и масштабирования инфраструктуры данных или потоковых систем в продакшене на значительном масштабе — Знание распределенных систем, событийно-ориентированных архитектур и высокопроизводительных потоковых конвейеров — Сильные навыки backend-разработки, особенно на Java — Практический опыт работы с Kafka, Flink или аналогичными технологиями потоковой обработки — Понимание взаимодействия продакшен-систем данных с ML-командами и влияния на производительность ML — Ориентация на создание инфраструктуры, обеспечивающей реальное время и интеллектуальные решения Условия: — Работа в Гамбурге в гибридном формате (3 дня в офисе) — Полная поддержка релокации и визовая поддержка для международных кандидатов — Зарплата в диапазоне 85-100 тыс. евро в год Технологический стек: Kafka, Apache Flink, Go, Java, AWS (S3, DynamoDB), Redis, Druid, Kubernetes, Terraform, Airflow, Prometheus, Grafana, ELK

Location: Berlin; Frankfurt am Main; Barcelona; Munich; Lisbon; Madrid; Hamburg; Porto Workplace: Remote HEY THERE We’re looking for a Senior Mobile Engineer to join the Food Tracking squad at Yazio, the team building the core experience of our product. This includes daily food tracking, AI-driven insights, and features used by millions every day. You are a key part in shaping the Food Tracking squad, leveraging our Kotlin Multiplatform (KMP) stack to deliver high-impact solutions for iOS and Android users. You join a cross-functional team partnering closely with Product Managers, Designers and Analysts. This role is 100% remote and open to candidates based in Germany, Spain, Portugal, or the U.K. YOUR MISSION The Food Tracking squad is entering a new phase. From AI-driven features to deep personalization to help users lead a healthier life. Your mission is to shape the future of our squad with your technical expertise. - Own Features End-to-End. You take ideas from a technical design to a polished, deployed feature. You are responsible for writing clean, maintainable code, ensuring high quality, and monitoring the impact of your work in production. - Lead Migration to KMP: You assess, document and plan the migration of our complex domain from iOS/Android platform code to KMP-first code—while continuing to ship features to our users. - Integrate AI Features: Together with the backend team, you bring scaleable AI-powered features to the app and evaluate best practices to ensure a great user experience. - Partner with Product and Design. You won't just be handed tickets. You are a key contributor to the why and what by assessing new technical areas, weighing trade-offs, and helping shape a roadmap that is both ambitious and achievable. - Elevate the Team. You act as a mentor for other engineers, leading by example with thoughtful code reviews and improving team processes without being asked. YOUR PROFILE We're looking for a seasoned engineer who is passionate about the craft but even more passionate about the impact their code has on users. - Expert in Modern Mobile Development. You have significant experience building native mobile apps on Android with Kotlin and Compose, ideally with KMP. Experience on iOS with Swift and SwiftUI is a huge plus as well as the willingness to expand ownership across both ecosystems. - End-to-End Ownership. You have a track record in organizing delivery of features end-to-end. - AI Adopter. You're comfortable using AI tools to automate your daily workflows and achieve results while maintaining a high bar of quality and safety. Experience in integrating and shaping AI-driven features in production environments is a huge plus. - Pragmatic. You know how to build the smallest piece fast to achieve results. You know what to build first and what to leave for later. You have high standards for code quality and leave it better than you found it even when things move quickly. - True Product Engineer. You are obsessed with the user experience and the "why" behind what you're building. You're comfortable with product metrics and are driven to see your work make a measurable impact. - Excellent Communicator. You can clearly articulate complex technical ideas to both technical and non-technical partners. You’re comfortable documenting technical topics in written form to your peers. OUR CORE TECH STACK We believe in Kotlin Multiplatform and use it heavily in our modularized monorepo. We share as much code as possible outside of the UI layer, while building the fully native UI using Compose on Android and SwiftUI on iOS. We use libraries like: - kotlinx.coroutines - kotlinx.serialization - Ktor - SQLDelight - Metro for dependency injection. WHY US? - An exciting product with millions of users in over 150 countries, driven by our mission to transform the world through healthy eating - A remote-first setup: work 100% from home, join a co-working space, or work abroad for several weeks per year - 30 vacation days to relax and recharge, plus 5 child sick days if your little one needs you - A focus-driven culture that values efficiency over long hours - no overtime expectations, and if it happens, you get that time back! - A high-impact environment where your work drives real change - short decision-making processes and no micromanagement - A team culture where ambition and balance go hand in hand, supported by strong connections - from our fully covered company retreat to team meetups and virtual coffee breaks - Tools and support to do your best work: MacBook, monitor, and €1,000 annual learning budget, plus regular feedback and career development - A truly international team with English as our company language and a shared commitment to growth and well-being - supported by Sunday Supplements and Nilo Health DIVERSITY AND INCLUSION At Yazio, we believe that diversity fuels innovation. We are committed to fostering an inclusive environment where everyone, regardless of gender identity, race, religion, age, sexual orientation, or ability, feels valued and empowered. We celebrate different perspectives and actively encourage individuals from all backgrounds to apply. READY TO JOIN US? Excited to take Yazio to the next level and help people worldwide lead healthier lives? We’d love to hear from you! Please send us: - Your CV in English - A few lines (or a short video if you prefer) about who you are and why you want to work at Yazio - Any additional materials that showcase your work (e.g., LinkedIn profile, portfolio)

Location: Armenia; Spain; Serbia; Poland; Kyiv City; Kyiv; Odesa; North Macedonia Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

О КОМПАНИИ Мы — финтех-компания, специализирующаяся на разработке платежной инфраструктуры и решений для работы с цифровыми активами. Наша команда развивает высоконагруженную платформу с криптовалютными и финансовыми сервисами, где особое внимание уделяется стабильности, безопасности и качеству пользовательского опыта. ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ • Проводить smoke-тестирование перед релизами по готовым чек-листам; • Проверять основные пользовательские сценарии: торговля, ввод/вывод средств, личный кабинет; • Выполнять регрессионное тестирование ключевых флоу платформы; • Заводить и сопровождать баги в Jira: описание, воспроизведение, приоритизация, логи и скриншоты; • Проверять backend API через Postman; • Работать с базой данных через готовые SQL-запросы; • Анализировать сообщения Kafka-консьюмеров (всему научим); • Взаимодействовать с командой разработки по вопросам релизов и найденных дефектов; • Помогать в разборе production-инцидентов и пользовательских кейсов. ЧТО МЫ ОЖИДАЕМ • Коммерческий опыт в QA от 6 месяцев или сильная стажировка/пет-проекты; • Понимание принципов тестирования web-приложений; • Опыт работы с Postman или понимание API тестирования; • Базовые знания SQL; • Внимательность к деталям и системное мышление; • Готовность разбираться в технических задачах и быстро учиться. ЧТО МЫ ПРЕДЛАГАЕМ • Возможность развиваться в fintech/web3 направлении; • Работа с backend/API и высоконагруженными сервисами; • Команда сильных инженеров и возможность быстро расти технически; • Погружение в современные инструменты: Kafka, SQL, API, production debugging; • Комфортный офис в Москве; • Гибридный формат после испытательного срока.

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Staff AI Engineer to join the GenAI + Discovery Platform team at Strava, a team at the core of Strava's AI strategy, responsible for building the shared tooling that enables product teams to ship high value GenAI-powered features at scale. This role sits at the intersection of AI engineering, platform engineering, and server engineering. You will own the systems that make it easy and reliable for all of our product teams to build user facing features on top LLMs at Strava, from shared context, tool management, agent loops, orchestration, data access, search and retrieval to evaluation and ROI frameworks. This is a high-leverage technical role: you're not just building infrastructure, you're building the core understanding of athletes that enable consistent athlete experiences, insight across product surfaces. You'll work closely with product engineers, product managers and data teams to translate cutting-edge AI capabilities into production-ready platforms that facilitate development of AI features that provide value to our athletes. We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco office — three days per week. WHAT YOU'LL DO: - Build for a Well Loved Consumer Product: Work at the intersection of AI and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide. - Build the GenAI + Discovery Platform: Set the vision, Design and the shared genAI platform: LLM, and workflow orchestration, prompt management systems, RAG pipelines, search and retrieval services (vector, hybrid and structured search), and evaluation tooling - Enable Teams to Ship AI Features Faster: Build self-serve interfaces and golden paths so that product and CUJ engineering teams can build GenAI-powered features without deep AI expertise. - Own End-to-End AI Capability Delivery: Drive projects from architecture and interface design through production deployment and monitoring, ensuring correctness, latency, reliability, and cost-efficiency of the AI capabilities your platform serves. - Collaborate Across Engineering, and Product: Work closely with engineers and PMs across different verticals to enable the new features and build the genAI roadmap. inform product teams on how to consume and leverage AI capabilities effectively. - Build from a Rich Dataset: Explore and use Strava's extensive unique fitness and geo datasets from millions of users to inform how AI capabilities can extract actionable insights, improve product decisions, and power novel athlete experiences. YOU WILL BE SUCCESSFUL HERE BY: - Treating AI Platform as a Product: Bringing engineering rigor — versioning, contracts, SLAs, monitoring, and deprecation paths — to AI capabilities and LLM integrations that product teams depend on. You don't ship a prototype; you ship a platform. - Leading as an Owner: Taking end-to-end accountability for the reliability and impact of the systems you build, including their correctness in production, their adoption by downstream teams, and the business outcomes they enable. - Building for Leverage: Designing platforms and tooling that multiply the output of the broader team, reducing the AI infrastructure expertise required for CUJ teams to ship GenAI-powered features. - Collaborating Across Disciplines: Working fluidly with ML engineers, data engineers, data scientists, and product managers to align on model selection, evaluation standards, prompt strategies, and consumption patterns. - Raising the Standard: Helping establish best practices for GenAI system development, responsible AI patterns, and operational health, and mentoring teammates at all levels to do the same. - Being passionate about the work you are doing and contributing positively to Strava's inclusive and collaborative team culture and values. WHAT YOU'LL BRING TO THE TEAM: - 5+ years of experience building and operating complex, production AI or backend systems at scale, with a track record of decomposing large technical problems into well-scoped execution across teams. - Demonstrated experience building AI platform tooling or developer-facing infrastructure ideally for LLM or ML systems with a strong instinct for API design, versioning, and self-serve patterns. - Hands-on experience building with large language models in production: agentic workflows, prompt and context engineering, RAG architectures, embedding pipelines, fine-tuning workflows, or LLM evaluation frameworks and tools like Langchain . - Proficiency in search systems (Elasticsearch/OpenSearch, Vector Search, etc) - Proficiency in backend service development on cloud environments (AWS preferred), using Python, Go. Solid understanding of distributed systems and containerized infrastructure (Kubernetes, Docker). - Strong technical leadership: ability to lead multi-team projects, define technical direction, and grow engineers at multiple levels. - Deep curiosity about the evolving GenAI landscape: model capabilities, agent frameworks, multimodal systems: and strong judgment on where and how to apply them to real product problems. - Strong communication and collaboration skills, with the ability to align cross-functional partners around technical direction and build organizational trust in the platforms your team ships. For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: Salt Lake City, Utah, United States About the Role The Full Stack Engineer at iCapital will work end-to-end on new features, enhancements, and defect resolution on one or more of iCapital's software platforms. You will work closely with our Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found in manual test efforts. Responsibilities Web application development in React as front end and Ruby on Rails as a backend. Strong grasp of system design, architecture, and trade-offs. Able to mentor junior engineers effectively. Participate in architecture reviews and technical design. Active participation in daily stand-up meetings Active participation in Peer Code Reviews as part of our standard SDLC and Change Qualifications 5+ years software engineering experience building enterprise SaaS cloud-based solutions 4+ years of Ruby on Rails development experience or 5+ years of Python development experience 4+ years of hands-on experience with modern JS frameworks such as React 4+ years of front end and back-end test automation development using RSpec, Cucumber or similar Technical leadership/management experience is a plus Demonstrated understanding of relational database concepts and modeling practices. Familiarity with cloud-based technologies – K8S, AWS etc. Ability to work in an Agile / Kanban methodology Ability to work independently or as part of a group effort, as required Solid problem-solving ability Excellent communication skills Collaborative approach to software development Benefits The base salary range for this role is $100,000 to $130,000 depending on level.  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: San Francisco Workplace: Hybrid Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is an early-stage, San Francisco-based AI startup building the operating system for family law. Their platform automates the most time-intensive parts of legal practice — client intake, financial disclosures, document preparation, case management, and client collaboration — helping family law firms modernize and scale without adding headcount. Founded in 2025, the company is already working with real customers and actively closing a seed round, with $XM signed to date.   THE MISSION To reduce the emotional and financial burden of divorce for millions of families — and empower the legal professionals who serve them — by transforming a fragmented, manual process into a guided, intelligent, AI-driven experience.   THE OPPORTUNITY This is a co-founder seat, not a hire. You're joining at the inflection point: real product, real customers, seed round closing. As the first technical leader, you'll own the full stack — architecture, AI infrastructure, engineering culture, and execution velocity. You'll work shoulder-to-shoulder with the founding team to define how AI reshapes one of the largest, most underserved verticals in legal services. If you've been waiting for a founding opportunity where the market is real, the mission matters, and the equity is worth the bet — this is it.   WHAT YOU'LL DO - Own and define end-to-end technical architecture of the platform - Write and ship production code daily alongside the founding team - Architect and scale AI agent infrastructure for legal workflows — billing, financial layers, document automation, collections, and client collaboration - Build and scale the engineering team from scratch — hiring, mentoring, and establishing culture - Partner with founders on product roadmap, fundraising narrative, and company strategy - Ensure security, compliance, and scalability of a document-heavy, regulated-industry platform - Drive rapid iteration cycles and maintain startup velocity through seed close and beyond   WHAT YOU BRING Must-Haves: - 8+ years of software engineering experience, with 3–5+ years in technical leadership - Deeply hands-on — you still write and ship production code regularly - Proven experience building AI-native, workflow-heavy, or document-centric SaaS products - Proficiency with modern AI/ML stacks: LLMs, RAG, and agentic frameworks (LangChain/LangGraph, OpenAI/Claude APIs) - Strong backend and cloud infrastructure expertise (GCP/AWS, Python, Node.js, Kubernetes) - Experience building engineering teams in a 0→1 environment - Based in the SF Bay Area or willing to relocate - Financially comfortable with a founder salary model during the build phase — equity is the upside Nice-to-Haves: - Exposure to legal tech, compliance-heavy, or regulated-industry products - Experience with document automation platforms - Prior founding experience or early employee (1–50 person company) - Background at Big Tech or high-growth SaaS - Genuine interest in access to justice and modernizing legal services   KEY SUCCESS DRIVERS - Builder-first — you ship fast, don't wait for perfect conditions, and take pride in what you launch - Full ownership — you treat the product and team like they're yours, because they will be - Systems thinker — you design for agentic workflows and automation, not just feature lists - Ambiguity-tolerant — you thrive in 0→1 environments without a defined playbook - Mission-aligned — you're genuinely excited about AI's role in transforming legal services - Speed over perfection — you iterate fast, learn faster, and course-correct in real time   WHY JOIN? Compensation & Equity: - 7-10% founder-level equity — significantly above market, reflecting a true founding relationship - Base salary: ~$4,000/month during the pre-seed phase, with a clear normalization trigger post-seed close - Upside is entirely equity-driven, structured for long-term wealth creation What Makes This Rare: - Co-founder title and seat — not a VP/Director scope with imposed constraints - Real product traction and paying customers before you join - Seed round in progress: $XM already signed - Recognized by TechCrunch Disrupt Startup Battlefield and Stanford CodeX FutureLaw - Greenfield opportunity to define the technical foundation of a category-creating company INTERVIEWING PROCESS - Intro Call - Level 1 — Technical Deep-Dive - Level 2 — Take-Home or Live Build Exercise - Level 3 — In-Person Co-Founder Day (half day, SF) - Reference Checks + Offer We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: San Francisco, CA, USA About the Role Chime is looking for a hands-on engineering leader to guide the Disputes Automation Tooling team within Trust & Safety. As a Tech Lead Manager, you’ll lead a squad of 3–5 engineers, set the hiring bar, coach and develop talent, and own execution and delivery. You’ll also remain deeply involved in the technical work, writing and shipping production code alongside your team. The Disputes Automation team owns the end-to-end automation that processes a dispute claim, from ingestion through investigation to resolution. You'll partner closely with Product, Operations, Legal, and Compliance to make sure every claim is handled accurately, consistently, and within regulatory requirements. As our member base grows, the team's focus is scaling these automation capabilities to bend the cost to serve, while keeping the platform stable and compliant. In this role, you can expect to Drive technical design and architectural decisions, while mentoring engineers and fostering cross-functional collaboration Lead and contribute to multiple projects simultaneously, balancing ownership of key initiatives with support across broader team efforts Build and maintain robust, low-latency APIs and backend services that power our Trust and Safety platforms Become the domain expert in our platform architecture, providing technical decisions and solutions to refine our maturing platforms Partner with data engineers, analysts, and product managers to ship impactful features that enhance member protection and experience Improve platform reliability and performance through thoughtful system architecture, observability practices, and automation Evolve our experimentation, policy lifecycle, and ML integration capabilities to support smarter and faster decision-making at scale Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary. To thrive in this role, you have 5+ years of experience developing software in a production environment at scale Prior experience serving as a technical lead for a team and on complex projects—driving architectural decisions, coordinating execution, and aligning cross-functional teams Proven experience with Ruby on Rails or comparable frameworks Experience with transactional databases and caching systems Deep understanding of architectural patterns for large-scale web applications Commitment to mentoring engineers and fostering team development An appreciation of maintainable and well-tested code Curiosity and passion for diving deeply into system architectures and technical challenges Experience in fast-paced or early-stage environments is a strong plus #LI-Onsite #LI-MB1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $199,000 — $275,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Hamburg adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn't just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time.  Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren't just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange.  Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. As a Data Engineer on this team – you'll be building and maintaining the infrastructure that makes them possible: the Feature Store, the data pipelines, the data quality systems, and the data architecture that data scientists depend on to move fast. Your Mission & Who We Are Looking For: - Data engineering at ML scale. You have 5+ years in data engineering on a modern stack, with proven experience handling systems that process several TB of data per day and thousands of events per second.  - Flink is your default for real-time. You have hands-on experience with Apache Flink for stateful stream processing and real-time feature computation. You'll translate Data Science requirements into high-performance streams, enable Data Scientists to contribute new features and implement features yourself when needed.. - Pipeline bottlenecks don't survive long around you. You know how to identify and eliminate inefficiencies in complex ETL jobs, whether handling high-volume batch processing or real-time streaming systems like Kafka. At adjoe, data velocity is critical: slow pipelines directly impact model freshness and prediction quality at sub-100ms inference. - You think in layers, not tables. You move beyond raw data to design robust, multi-layered data architectures using dbt, and can reason confidently about storage formats, Data Lakehouse models, and what belongs where in a 1PB+ data lake. Familiarity with Medallion Architecture is a strong plus. - The bridge between Data Science and Backend. You've worked closely with Data Scientists on online ML systems with low latency requirements, and understand what it takes to make experimental research production-ready. Strong Java required; Go or Python a plus. - Owns quality, not just delivery. You implement data validation, monitoring, and governance processes in production, because in a system where model inputs directly drive advertiser ROI, data integrity isn't optional. Experience with Airflow, Kubeflow, AWS, Terraform, and Kubernetes is a strong plus.  🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.  What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.   - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Задачи: — Разработка и поддержка автотестов на Java. — Backend/API тестирование. — Работа с БД, логами и Kafka. — Интеграция автотестов в CI/CD. — Участие в развитии автоматизации на проекте. Требования: — Опыт в тестировании от 3–5 лет. — Backend testing от 2 лет. — Автоматизация на Java от 1 года. — Хороший SQL. — Опыт с REST API и Kafka. — Понимание SDLC и BDD. Плюсом будет: — Банковский опыт / ДБО. — Cucumber / Gherkin. — Опыт построения автоматизации с нуля. — UI automation. Условия: — Работа с современным стеком и высоконагруженными решениями. — Сложные enterprise-задачи. — Highload и интеграции. — Сильная инженерная команда. — Возможность влиять на процессы автоматизации.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description: The Ads Marketplace team is a strategic growth engine for Reddit Ads. Our mission is to democratize high-performance advertising by enabling brands to achieve world-class results with minimal friction. To achieve this, we need an incredibly robust, scalable, and state-of-the-art Machine Learning infrastructure. The Ads ML Platform team is at the core of this mission, tasked with building the foundation that powers all of our content understanding, ad targeting, and ad ranking models. We are empowering our ML engineers and data scientists to move faster and build smarter. The Role: As the Staff Product Manager for the Ads ML Platform, you will hold significant ownership over the infrastructure and tools that make our ads marketplace intelligent. You will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports the most modern ML architectures. You will be the bridge between complex ML systems and business outcomes. Whether it's integrating generative AI to increase developer productivity, establishing unified model-serving infrastructure, or optimizing GPU utilization, your work will directly accelerate how quickly and effectively we can ship highly-performant ad products. If you are passionate about the intersection of platform engineering and state-of-the-art ML research, this is the role for you. Responsibilities Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curve. Accelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than ever. Cross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure. Drive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity. Stay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically applied to Reddit’s Ads ML platform. Distill pain points, translate to requirements : Conduct regular user research with MLEs in Ranking, Creative Effectiveness and Content Understanding to convert pain points (e.g., slow backfills, limited training speed, no way to quickly share features across models) into precise product requirements. Validate the needs and ensure they are tied into a broader vision for the org. Minimum Qualifications: At least 7+ years of product management experience, with prior focus internal technical products, developer tools, data/ML platforms, and/or ads and content ranking. Deeply analytical and highly technical background; you are comfortable working in complex data systems and understanding the entire machine learning lifecycle (training, inference, deployment, monitoring). Genuine passion for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers, stay informed on the latest industry trends, architectures, and capabilities. Exceptional problem-solving skills and the ability to translate highly technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps. Strong communication skills; you can seamlessly translate technical requirements to business stakeholders and articulate business goals to engineering teams. Preferred Qualifications: Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product Management. Understanding of the Ad Tech ecosystem (bidding, ranking, targeting). Experience implementing or managing systems that support Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG). Perks and Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Competitive salary and equity options Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc) Generous 401k matching Flexible vacation policy Paid parental leave (4+ months) Family planning support Paid volunteer time off #LI-AS1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Limassol, Cyprus Workplace: none David Kennedy Recruitment is working with an innovative global Customer Experience company currently looking to hire a Senior Software Engineer (Architecture) to join their growing international team. Position: Senior Software Engineer (Architecture) Location: Limassol, Cyprus Employment type: Full-time DUTIES AND RESPONSIBILITIES: Design, develop, and maintain scalable applications and systems using Laravel (PHP) and Vue.js Contribute to architectural decisions and help drive scalable, maintainable, and high-performance technical solutions Work with distributed systems, queue-based architectures, Kafka, and event-driven patterns Optimise platform performance, reliability, scalability, and overall system stability Collaborate closely with Head of Development, DevOps Engineers, and Senior Developers on technical initiatives and infrastructure improvements Support engineering best practices, clean code principles, and continuous technical improvement Conduct code reviews, design reviews, and provide technical mentorship to developers Work with containerised and cloud-native environments using Docker and Kubernetes Participate actively in day-to-day hands-on development while supporting long-term technical direction Contribute to improving development processes, scalability, and engineering standards across the platform. REQUIREMENTS: Strong written and spoken English communication skills 5–8+ years of software engineering experience Strong system design and software architecture experience Solid backend development experience with PHP/Laravel or similar frameworks Experience with modern JavaScript frameworks, ideally Vue.js Experience working with distributed systems and queue/event-driven architectures Hands-on experience with Kafka and queue systems Strong knowledge of MySQL and NoSQL databases Experience with Docker and Kubernetes is highly preferred Strong ownership mindset and problem-solving abilities Passion for technology with proactive self-learning mentality Ability to work collaboratively within fast-paced technical environments. OFFER: Competitive salary package Birthday vouchers and additional special occasion perks Medical insurance plan options Pension plan options Fully equipped kitchen and in-house entertainment space Monthly lunches, corporate events, football team activities, and competitions Long-term career growth opportunities within a leading international iGaming organisation And much more!