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Location: Bangalore Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION The Renewals Specialist will be responsible for Enterprise and Key account renewals starting 150 days in advance of their contract end date and executing all renewal back-end work in a timely manner for all accounts in APAC. Success in this role requires a high level of organization and coordination with cross-functional teams such as Customer Success, Account Executives, Legal, Accounting and others. The Renewals Specialist will be measured based on the timeliness of renewal contracts, their ability to drive retention with existing customers, and on increasing the number of product expansions. This role will include customer-facing interactions as well as backend deal desk related support with quote creation and contract processing. WHAT YOU'LL DO AT UIPATH - Project manage the renewal experience in close partnership with assigned Customer Success Manager and Account Executive to provide a seamless customer experience - Retain and increase subscription revenue in existing customer accounts by positioning packages and price updates - Migrate existing customers from our legacy plans onto new packaging and licensing models - Proactively identify lengthier renewal scenarios and maintain high on-time renewal rate - Update renewal forecast on a weekly basis and report up to management - Create client proposals and contracts for all existing customer renewals - Continuously iterate and provide customer feedback on the renewal experience WHAT YOU'LL BRING TO THE TEAM - Bachelor’s degree in marketing, Sales, Finance or related field - Minimum of 6 years’ experience in renewals, sales or account management in Enterprise Segment - Strong communication skills with working proficiency in both English and Thai languages. - Comfortable with negotiation and having conversations with procurement departments - High confidence in managing customer quoting, contracts, and terms - Strong customer-facing acumen and communication skills - Ability to multi-task and to help manage a high volume of accounts - Able to build relationships quickly and work across many cross-functional teams - Must be self- motivated, goal-oriented, able to work independently with little oversight to deliver on deadlines and ensure timeliness of renewals - Ambition to look for opportunities to expand the scope of the role and take on new projects - Experience working with Salesforce and LinkedIn Sales Navigator is a huge plus - Automation first mindset Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Romania; Serbia; Poland Job Overview The Technical Project Manager will be responsible for end-to-end delivery of technology projects , working closely with Engineering, Product, DevOps, Infrastructure, QA, Security and business stakeholders. The ideal candidate should have strong technical understanding and be able to challenge estimates, identify dependencies, manage risks, drive engineering teams and communicate effectively with senior stakeholders. Key Responsibilities Project & Delivery Management Own end-to-end delivery across multiple technical projects and workstreams. Define project scope, milestones, deliverables, timelines and success criteria. Create and maintain detailed project plans, delivery roadmaps and release plans. Track progress against commitments and proactively manage delays. Drive projects from requirements through development, UAT, deployment and production stabilization. Ensure clear ownership and accountability across teams. Technical Project Management Work closely with Engineering, Architecture, DevOps, Infrastructure, QA and Security teams. Understand technical requirements, architecture, APIs, integrations, databases, cloud infrastructure and deployment processes. Review estimates and challenge assumptions where required. Identify technical dependencies, risks and resource constraints early. Coordinate resolution of technical blockers and cross-team dependencies. Ensure technical decisions and requirements are properly documented. Agile & Governance Drive Sprint Planning, backlog refinement, daily tracking, sprint reviews and retrospectives. Maintain project dashboards and delivery metrics. Ensure accurate capacity planning and resource allocation. Establish effective governance without creating unnecessary process overhead. Maintain RAID logs, action trackers and decision logs. Stakeholder Management Act as the primary delivery interface between engineering teams, product/business stakeholders and leadership. Provide clear and fact-based project status reporting. Escalate risks and issues early with recommended actions. Manage expectations around scope, timelines, resources and priorities. Conduct regular stakeholder reviews and project governance meetings. Resource Management Plan resources based on actual capacity and project requirements. Identify resource gaps and provide data-backed recommendations. Optimize utilization of existing engineering resources before requesting additional headcount. Coordinate cross-functional teams across India and international locations. Quality, UAT & Release Management Establish UAT plans, acceptance criteria and release readiness. Track defects and ensure timely resolution of critical issues. Coordinate release and deployment activities with DevOps/Infrastructure teams. Ensure production readiness and post-release stabilization. Technical Exposure Candidates should have working knowledge of several of the following: Web applications and SaaS platforms Frontend / Backend architecture APIs and third-party integrations Microservices Databases and data platforms Cloud platforms — AWS / Azure / GCP DevOps and CI/CD Docker / Kubernetes Identity & Access Management Security and authentication AI/ML platforms and infrastructure Monitoring, logging and observability Performance and scalability QA automation and testing frameworks Required Skills 8–12+ years of experience in technology/project/program delivery. Strong experience managing software engineering projects. Experience managing Frontend, Backend, QA, DevOps and Infrastructure teams . Strong understanding of Agile/Scrum methodologies. Proven experience managing multiple concurrent projects. Strong planning, estimation and dependency-management skills. Excellent stakeholder and communication skills. Experience working with distributed/global teams. Strong problem-solving and escalation-management capability. Experience with Jira, Tempo, Confluence or similar project management tools. Ability to manage delivery based on capacity, priorities and measurable outcomes . Preferred PMP / PRINCE2 / Scrum certification. Experience with SaaS / B2B technology platforms. Experience in Ecommerce, cloud, AI, data projects. Experience managing teams of 20+ engineers across multiple disciplines .

Location: Gurgaon, India Job Overview The Technical Project Manager will be responsible for end-to-end delivery of technology projects , working closely with Engineering, Product, DevOps, Infrastructure, QA, Security and business stakeholders. The ideal candidate should have strong technical understanding and be able to challenge estimates, identify dependencies, manage risks, drive engineering teams and communicate effectively with senior stakeholders. Key Responsibilities Project & Delivery Management Own end-to-end delivery across multiple technical projects and workstreams. Define project scope, milestones, deliverables, timelines and success criteria. Create and maintain detailed project plans, delivery roadmaps and release plans. Track progress against commitments and proactively manage delays. Drive projects from requirements through development, UAT, deployment and production stabilization. Ensure clear ownership and accountability across teams. Technical Project Management Work closely with Engineering, Architecture, DevOps, Infrastructure, QA and Security teams. Understand technical requirements, architecture, APIs, integrations, databases, cloud infrastructure and deployment processes. Review estimates and challenge assumptions where required. Identify technical dependencies, risks and resource constraints early. Coordinate resolution of technical blockers and cross-team dependencies. Ensure technical decisions and requirements are properly documented. Agile & Governance Drive Sprint Planning, backlog refinement, daily tracking, sprint reviews and retrospectives. Maintain project dashboards and delivery metrics. Ensure accurate capacity planning and resource allocation. Establish effective governance without creating unnecessary process overhead. Maintain RAID logs, action trackers and decision logs. Stakeholder Management Act as the primary delivery interface between engineering teams, product/business stakeholders and leadership. Provide clear and fact-based project status reporting. Escalate risks and issues early with recommended actions. Manage expectations around scope, timelines, resources and priorities. Conduct regular stakeholder reviews and project governance meetings. Resource Management Plan resources based on actual capacity and project requirements. Identify resource gaps and provide data-backed recommendations. Optimize utilization of existing engineering resources before requesting additional headcount. Coordinate cross-functional teams across India and international locations. Quality, UAT & Release Management Establish UAT plans, acceptance criteria and release readiness. Track defects and ensure timely resolution of critical issues. Coordinate release and deployment activities with DevOps/Infrastructure teams. Ensure production readiness and post-release stabilization. Technical Exposure Candidates should have working knowledge of several of the following: Web applications and SaaS platforms Frontend / Backend architecture APIs and third-party integrations Microservices Databases and data platforms Cloud platforms — AWS / Azure / GCP DevOps and CI/CD Docker / Kubernetes Identity & Access Management Security and authentication AI/ML platforms and infrastructure Monitoring, logging and observability Performance and scalability QA automation and testing frameworks Required Skills 8–12+ years of experience in technology/project/program delivery. Strong experience managing software engineering projects. Experience managing Frontend, Backend, QA, DevOps and Infrastructure teams . Strong understanding of Agile/Scrum methodologies. Proven experience managing multiple concurrent projects. Strong planning, estimation and dependency-management skills. Excellent stakeholder and communication skills. Experience working with distributed/global teams. Strong problem-solving and escalation-management capability. Experience with Jira, Tempo, Confluence or similar project management tools. Ability to manage delivery based on capacity, priorities and measurable outcomes . Preferred PMP / PRINCE2 / Scrum certification. Experience with SaaS / B2B technology platforms. Experience in Ecommerce, cloud, AI, data projects. Experience managing teams of 20+ engineers across multiple disciplines .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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 We are looking for a high-ownership Mobile Engineer to join our team in Singapore. In this role, you will build, optimize, and scale consumer-facing mobile experiences that drive core growth across global markets—from acquisition and activation to trading conversion. We operate as an AI-native engineering team : we expect engineers to leverage modern agentic workflows (like Claude Code, Codex, and automated developer tooling) to build scalable features rapidly and craft next-generation engineering systems. While deep native Android proficiency is required, you will think holistically about the entire mobile lifecycle, taking end-to-end product ownership and collaborating across platform boundaries. What You'll Be Doing Drive Growth & User Experience: Design, build, and optimize high-impact mobile features focused on improving user acquisition, activation, trading conversion, and overall mobile user experience across global markets. Take End-to-End Ownership: Partner directly with Product Managers, Designers, Data Analysts, and Backend Engineers to define product requirements, tie technical execution directly to business metrics, and see features through from ideation to production impact. Pioneer AI-Native Workflows: Actively integrate modern AI engineering tools (e.g., Claude Code, Codex) into your daily routine. Help design and institutionalize automated, AI-powered development workflows, testing suites, and internal developer tooling beyond simple code generation. Shape Shared Mobile Architecture: Deliver robust native Android features while thinking beyond a single platform—contributing to shared mobile architectural standards, unified client-side design patterns, and cross-platform infrastructure. Iterate with Data & Rigor: Instrument robust event tracking, execute rigorous A/B experiments, analyze user behavior data, and iterate rapidly to drive sustained conversion improvements. Uphold Engineering Excellence: Write clean, modular, and resilient code. Maintain high standards for automated testing, performance tuning, crash-free session rates, and secure release governance. What We Look For In You Native Android Foundations: Solid software engineering fundamentals with production experience building, optimizing, and maintaining scalable native Android applications (Kotlin, modern Jetpack libraries, Clean Architecture). AI-Native Mindset: Active practitioner of modern AI coding assistants and agents (e.g., Claude Code, Codex, Cursor). A genuine drive to automate repetitive tasks and build AI-augmented developer workflows. Business & Product Ownership: Understanding user needs, business metrics, and taking end-to-end ownership of features and outcomes. Cross-Platform Vision: Ability to think beyond a single platform and contribute to shared mobile architecture. Experimentation & Execution: Hands-on experience or familiarity with mobile analytics, A/B testing methodologies, feature flagging, and rapid conversion optimization. Nice-To-Haves Experience in Fintech, Crypto, high-frequency trading platforms, or high-growth consumer apps. Experience maintaining or contributing to shared mobile frameworks, multiplatform architectures (e.g., Kotlin Multiplatform), or design systems. Experience building or maintaining modern mobile CI/CD pipelines (e.g., Fastlane, GitHub Actions, custom Gradle plugins). Proficiency in speaking, reading, and writing in both English and Mandarin to collaborate seamlessly with distributed product and engineering teams across global offices. Perks & Benefits Competitive total compensation package L&D 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 dependants More that we love to tell you along the process! #LI-ML1 #LI-ONSITE 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: Mumbai, Maharashtra, India About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Senior Full-Stack Engineer Location: Mumbai, India Employment Type: Full-time Experience Level: 5+ years of professional software engineering experience Work Model: Hybrid, with three days per week in the Mumbai office Why Join the Team? You will build and support applications used by asset management clients, including a private equity dashboard and related enterprise software. This is a hands-on role with ownership of complex features and application changes from requirements and design through deployment and production support. You will work across the Python backend, React frontend, APIs, integrations, and database layer while making sound engineering trade-offs and delivering maintainable software. You will also have the opportunity to use AI-enhanced development tools such as Claude and Codex across design, implementation, testing, debugging, and code review. As a Senior Full-Stack Engineer, You Will Build Full-Stack Features Design and deliver production features using Python and React, taking ownership of complex implementation decisions. Develop Backend Services Build and maintain Python backend applications, services, and APIs. Build User Interfaces Develop responsive and usable web applications with React. Own Delivery End to End Translate requirements into technical designs, identify dependencies, and drive delivery through testing, release, deployment, and production support. Build Enterprise Integrations Implement integrations across APIs, relational databases, and enterprise systems. Support Production Applications Investigate issues, contribute to root cause analysis, support deployments, and help maintain reliable production applications. Maintain Engineering Quality Write automated tests, participate in code reviews, maintain clear technical documentation, and take ownership of code quality, security, and correctness. The Anti-Sell Hands-on engineering: This is not a role for someone who primarily coordinates work or implements specifications without owning the underlying problem. You will be expected to design, build, test, deploy, and support production software. Full-stack ownership: You should be comfortable working across Python backend services, React applications, APIs, databases, authentication, testing, and deployment. Independent judgment: You will be expected to evaluate trade-offs, diagnose complex problems, ask the right questions, and move work forward with minimal direction. AI-assisted development with accountability: You may use Claude, Codex, and other AI development tools, but you remain responsible for evaluating their output and ensuring the resulting code is secure, correct, maintainable, and production-ready. Our Senior Full-Stack Engineers Typically Have Production full-stack experience: A track record of delivering production full-stack applications and taking technical ownership of complex features. Python backend expertise: Hands-on experience building backend applications, services, and APIs with Python. React experience: Hands-on experience building and maintaining production web interfaces with React. Enterprise application fundamentals: Experience with authentication, application design, testing, deployment, SQL, data modeling, and relational databases. Integration and cloud experience: Experience integrating applications with APIs and enterprise systems, deploying applications on a cloud platform, and supporting production systems. AI-enhanced software development: Practical experience using Claude, Codex, or similar tools across the software development lifecycle, with the judgment to evaluate AI-generated code and maintain ownership of quality, security, and correctness. Clear communication: The ability to collaborate effectively with engineers, business stakeholders, and cross-functional teams. Candidates whose experience is limited to prototypes, isolated frontend work, or work without production ownership will not be a fit for this role. Top-Tier Candidates Will Have Experience building and testing AI agents that combine large language models with tools or APIs to support multi-step workflows. Experience evaluating agent outputs and handling failures. Experience building software for financial technology, asset management, or other enterprise environments. Demonstrated interest in financial technology and solving complex engineering challenges. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Remote Workplace: remote 🌎 About Us TeamSnap is made up of innovators, technologists, builders, and problem-solvers shaping the future of youth sports. We’ve been setting the standard in youth sports technology since we were founded in 2009.  We hire for big ideas and tiny egos — which is part of how we landed on Outside Magazine's Best Places to Work, Built In's 100 Best Remote-First Places to Work and, for several years running, Sports Business Journal’s Best Places to Work in Sports.   TeamSnap is seeking a Senior Software Engineer (Backend) interested in working across the stack to join our fully distributed engineering team to help us continue our impressive growth from 2+ million daily active users to beyond! Our stack primarily includes Node.js, TypeScript, and SQL.  As an engineering team, we design and build scalable systems using a service-oriented and event-driven architecture that serve millions of daily users and some of the largest youth and amateur sports organizations in the world. Our team values collaboration in a remote culture, so we regularly participate in pair sessions and virtual team swarms to stay connected and improve the team and company. What You'll Do: Develop engaging experiences for our millions of users across our mobile and web applications. Design and implement scalable apps and services, integrating these into an evolving unified product and system architecture. Brainstorm and evaluate new product features in collaboration with the product and UX team. Collaborate and pair with other developers to develop solutions and teach technical skills. Contribute to our development standards within the team and across engineering to ensure code quality, adherence to standards, and identify opportunities for improvement Champion and implement automated testing practices to uphold the dependability and stability of backend systems, while also taking ownership of the overall reliability of the team's services. Actively engage in on-call responsibilities and contribute to incident management efforts. Evaluate and test new technologies to help TeamSnap move faster or serve our users more effectively. Help teammates overcome obstacles, resolve blockers, and complete work tasks. What Will Set You Up for Success: 5+ years of relevant experience, leading large projects on high-scale, distributed software systems as a software engineer Proficient in full stack development with Node, Python, Golang, Ruby,  Javascript utilizing React or similar. Experience with direct usage of SQL and relational databases such as MySQL / GCP Cloud SQL along with migrations, profiling, and optimization of such databases. Hands-on experience developing APIs, services for mobile applications and web clients at scale. Successfully delivered complex projects including debugging problems that may span a number of systems. Experience working with and architecting APIs, event streams, webhooks , etc. Experience working within and towards a distributed system. Extra points if you’ve built services for livestreaming, advertising, or subscriptions. Got cold feet? If you’re thinking you don’t meet 100% of the above qualifications, you should still seriously consider applying. We’re all humans with special talents that go beyond what’s listed here.   Compensation We’re committed to equitable compensation for all TeamSnappers. The minimum starting point for this role is $150,000, inclusive of base and bonus, with comp updated based on multiple factors. Our comp is highly competitive in our space and we adjust overall comp based on relevant experience, skills, certifications, and geographic location.  🖥 Location TeamSnap is a fully remote company, so you'll need to be comfortable working with people in other time zones. We're always expanding, but we can't currently hire in Alabama, Alaska, Delaware, District of Columbia, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Rhode Island, South Dakota, West Virginia, or Utah. We can only hire permanent US residents at this time. 🚀 Opportunities to Grow We work hard on a culture built on trust, accountability, and inclusion — one where you can take on more, make a lasting impact, and have some fun doing it. 🎩 Total Rewards Remote-first since 2009 Flexible PTO and parental leave 100% premium coverage of medical, dental, and vision for you and your family 401(k) to invest in your future $1,500 annual learning and development reimbursement Travel to all-company meetings and team events Generous home office allowance TeamSnap swag when you start, plus a $50 store credit on every work anniversary Monthly health and wellness reimbursement, and more TeamSnap Total Rewards 🏆  Award-winning Culture At TeamSnap, you're not a culture fit – you're a culture add. Read our Culture Playbook to see how we play, what we ask of each other, and what drives us. 🧡 Inclusion and Diversity Creativity and innovation don't come from cookie-cutter teams. We hold ourselves accountable for building a culture where everyone is valued. Need any accommodations during the interview process? Just ask. We are an Equal Employment Opportunity Employer. AI Notice We may use AI tools to support parts of the hiring process, such as reviewing applications and resumes or assessing responses. These tools assist our recruitment team; they don't replace human judgment, and final hiring decisions are made by people. Contact us if you'd like more information about how your data is processed.

Спроектировать и внедрить сквозную аналитику с нуля: от measurement plan до витрин данных и дашбордов. Описать и поддерживать таксономию событий (event naming, параметры, user properties), чтобы новые продукты/страницы подключались быстро и без “ручных костылей“.

Разрабатывать и поддерживать Ansible playbook’и, шаблоны конфигураций и docker-compose файлы. Внедрять практики IaC для управления инфраструктурой.

Location: Canada; United States 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. _______________________________________________________________________ THE ROLE Docker Hardened Images (DHI) is Docker's catalogue of security-hardened, enterprise-grade container images and Helm charts, built to be minimal, up-to-date, and safe to deploy in regulated and security-conscious environments. We're looking for a Principal Software Engineer to set the long-term technical direction for this catalogue and shape how the broader container security ecosystem evolves inside and beyond Docker. At this level, you'll work across organizations, not just within one team. You'll set direction for major domains, resolve the highest-ambiguity problems in container supply chain security, and grow your impact through architectural leadership, cross-functional alignment, and influence on industry standards. This is a pure individual contributor role; influence comes through technical vision, design, and the ability to move organizations. _______________________________________________________________________ RESPONSIBILITIES - Own the architecture for DHI as a platform, making high-leverage decisions that define how images and Helm charts are authored, secured, distributed, and evolved across the entire catalogue and across Docker's broader product surface. - Define and drive multi-quarter technical roadmaps for the container hardening domain, balancing upstream velocity, supply chain security posture, customer compliance requirements, and long-term catalogue scalability. - Identify systemic patterns from customer, operational, and upstream signals and translate them into architectural changes that span the catalogue, not just individual images or charts. - Build alignment across teams and executives on technical strategy, tradeoffs, and sequencing, including product, security, infrastructure, and customer-facing functions. - Represent Docker as a trusted technical voice in escalations, key enterprise customer engagements, and upstream OSS communities on issues that shape the future of secure container delivery. - Set conventions and standards at scale, defining the patterns others build within for image definition, Helm chart adaptation, hardening strategy, and supply chain tooling (Sigstore, SBOM, SLSA), and evolving those standards as the ecosystem changes. - Drive the hardest, most ambiguous packaging problems where the right answer requires reasoning across upstream dynamics, security tradeoffs, multi-arch constraints, and customer impact simultaneously. - Shape the integration test infrastructure and developer tooling strategy so that DHI's engineering platform scales with the catalogue and raises quality across the team. - Mentor and raise the technical ceiling for staff and senior engineers across the org, through review, design, and well-chosen architectural decisions that create durable leverage. - Take part in the paid on-call rotation; respond to incidents, debug production issues, and drive systemic improvements in reliability. _______________________________________________________________________ QUALIFICATIONS - 10+ years of backend engineering experience, including extensive work on production-grade, distributed systems at scale. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Ability to set multi-quarter technical roadmaps and align stakeholders (engineering, product, and executives) on strategy and tradeoffs. - Deep expertise in the container and Kubernetes ecosystem: you have strong, grounded opinions about cert-manager, kyverno, grafana, istio, and similar projects, and you can reason about tradeoffs at the ecosystem level, not just the image level. - Mastery of container supply chain security concepts (provenance, attestation, SBOM, signing, SLSA) and experience driving posture decisions across an organization rather than implementing them on a single project. - Strong software engineering fundamentals: code review, testing, source control, CI/CD, and Go sufficient to shape infrastructure and harness design. - Track record of technical influence without authority across multiple teams or organizations, raising quality through design docs, standards, review, and mentorship. - Experience navigating upstream OSS communities as a decision-maker, representing a downstream organization's requirements and shaping upstream direction on security-relevant issues. - Comfort working across remote, distributed teams and communicating complex technical strategy clearly to both technical and non-technical audiences. BONUS BUT NOT REQUIRED - Experience as a package maintainer at a Linux distribution, Homebrew, or comparable ecosystem. - Hands-on experience implementing or operationalizing supply chain tooling (Sigstore, SBOM, SLSA) at org scale. - Experience in regulated environments (FedRAMP, FIPS, PCI) with direct exposure to compliance requirements shaping engineering decisions. - Prior Principal or Distinguished IC experience on a platform, security, or developer-tools team. - Experience engaging directly with enterprise customers on container security architecture. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Align with leadership on the most critical org-wide technical risks and opportunities in container supply chain security. - Develop a point of view on DHI's current architectural constraints and where the highest-leverage interventions are. - Begin mapping the cross-functional landscape: product priorities, upstream pressures, customer compliance signals, and engineering gaps. FIRST 90 DAYS - Drive an architectural decision that unblocks multiple teams and reduces systemic risk across the catalogue. - Establish a feedback loop from customer, operational, and upstream signals into the multi-quarter roadmap. - Engage upstream OSS communities on at least one DHI-relevant issue with meaningful influence on direction. FIRST YEAR - Deliver a major platform or standards evolution with broad adoption across DHI and adjacent teams. - Create durable alignment across engineering, product, and security on catalogue architecture, supply chain posture, and hardening strategy. - Raise the technical ceiling for the engineers around you, measurably improving review quality, architectural consistency, and the team's ability to operate independently at a higher level. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$245,913 – CA$397,139 base United States: $180,500 – $291,500 base ______________________________________________________________________ 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: United States (Remote) Workplace: Remote ROLE SUMMARY We’re looking for a Software Engineer II to join the Cloud Applications team. This team builds and operates critical parts of the Temporal Cloud customer experience, including Namespaces https://docs.temporal.io/cloud/namespaces, Audit Logs https://docs.temporal.io/cloud/audit-logs, and Export https://docs.temporal.io/cloud/export. Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on. We're looking for an engineer who is excited to learn these systems and contribute to their scalability, reliability, and developer experience. This is a hands-on role where you'll collaborate with experienced engineers, product managers and partner teams to design, build, and operate backend services and data pipelines while growing your distributed-systems expertise. WHAT YOU'LL DO - Design, implement, test, and ship well-scoped features and improvements for Temporal Cloud with support from teammates. - Build and improve services that support namespace provisioning, configuration, scalability, and reliability. - Develop data pipelines that process high-volume usage and operational data across multiple tenants. - Make thoughtful engineering tradeoffs with guidance, balancing data freshness, query cost, tenant isolation, reliability, and operational complexity. - Improve service operability through tests, instrumentation, dashboards, alerts, runbooks, and documentation. - Participate in code reviews, design discussions, incident response, and production debugging. - Collaborate across engineering, product, and customer-facing teams to understand requirements and deliver scoped projects safely. - Improve developer and customer experience through automation, better tooling, and incremental product improvements. WHAT YOU'LL BRING - Experience building and operating production backend systems in a cloud environment. - Proficiency in Go or another applicable backend or systems language, with the ability to ramp up in an existing codebase. - Strong computer science fundamentals, including data structures, concurrency basics, testing, and debugging. - Working knowledge of distributed-systems concepts such as reliability, fault tolerance, consistency, scaling, and failure handling. - Experience with databases, data pipelines, messaging systems, or object storage. - The ability to take a scoped problem, break it into smaller tasks, implement a solution end to end, and incorporate feedback. - An operational mindset, including familiarity with logging, metrics, tracing, deployment, and production troubleshooting. - Comfort collaborating across teams and communicating progress, risks, and technical tradeoffs clearly. - A commitment to correctness, maintainability, and leaving systems better than you found them. NICE TO HAVE - 3+ years of work experience - Experience with Go. - Experience with PostgreSQL, Redshift, Kinesis, Firehose - Experience with S3, Google Cloud Storage, Azure Blob Storage, or other object-storage systems. - Familiarity with Kubernetes and cloud infrastructure. - Experience supporting on-call rotations, investigating incidents, or improving production observability. - Familiarity with Temporal concepts—or a strong interest in learning the platform. TECHNOLOGY STACK - Primary language: Go - Data storage: PostgreSQL, Redshift, S3,Google Cloud Storage, Azure Blob Storage, ClickHouse - Data processing: Kinesis, Firehose - Infrastructure: Kubernetes - Core framework: Temporal You do not need experience with every technology in our stack. We value strong engineering fundamentals and the ability to learn unfamiliar systems. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: San Francisco; New York Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Director of Platform Engineering to support our mission. This role is based in New York or San Francisco and open to those who are able to be in-office 2 days per week on a hybrid work model. About the Team We’re looking for a Director of Platform Engineering to lead the teams responsible for the core infrastructure and platform services that power Patreon’s product and ecosystem. This role is ideal for a senior engineering leader who has: - Scaled a consumer, UGC, or marketplace platform to millions of users - Led infrastructure and/or platform teams supporting product engineering at scale - Operated in environments with high availability, bursty traffic, and complex distributed systems You’ll partner closely with Product, Security, Data, and Product Engineering leaders to ensure Patreon’s platform is reliable, scalable, and developer-friendly. About the Role - Lead and grow multiple Platform & Infrastructure Engineering teams, including backend services, APIs, developer platforms, reliability foundations and AI enablement - Own the technical strategy and roadmap for scaling Patreon’s platform as usage, content, and integrations grow - Drive platform initiatives across: - Core backend services & APIs - Service reliability, availability, and performance - Platform scalability and capacity planning - Internal developer tooling and productivity - Partner with product engineering teams to enable faster feature delivery while maintaining platform stability - Establish strong operational excellence (on-call, incident response, SLAs, SLOs) - Hire, develop, and mentor senior engineering managers and technical leaders - Communicate clearly with executives and cross-functional partners about risks, tradeoffs, and platform investments About You Required: - 10+ years of engineering experience with 5+ years in engineering management - Experience leading platform, infrastructure, or foundational backend teams - Proven track record scaling a consumer product, UGC platform, or marketplace to millions of users - Strong background in distributed systems, APIs, and service-oriented architectures - Experience operating production systems with high availability and performance requirements Preferred: - Background in developer platforms, internal tooling, or platform abstractions - Familiarity with cloud infrastructure (AWS/GCP), data pipelines, and event-driven systems - Experience leading through major architectural transitions or scale inflection points About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Enterprise AI - Platform Engineer Location: New York City, Madison Square Park area Reports to: Head of Engineering Experience Level: 6+ years Work Model: Hybrid, with regular in-office presence Why Join Enterprise AI? Enterprise AI is building the platform that enables reliable deployment of AI systems across enterprise environments. As a Platform Engineer, you will build and operate the core of Turing’s Enterprise AI platform, including platform services, the model gateway, multi-tenant infrastructure, CI/CD, infrastructure as code, and observability. The central challenge is creating repeatable deployments across environments Turing may not control, including client cloud accounts, dedicated instances, and sovereign installations. As a Platform Engineer, You Will Build Core Platform Services Design, build, and operate the services that support the Enterprise AI platform, including platform infrastructure and the model gateway. Enable Enterprise Deployment Create reliable deployment systems for client cloud accounts, dedicated instances, and sovereign environments. Own Infrastructure and Delivery Systems Build and maintain CI/CD, infrastructure as code, and deployment tooling across environments using Kubernetes, Helm, Terraform or Pulumi, and GitOps practices. Build for Reliability Design systems that support secure multi-tenant operation, reliable service ownership, and clear operational accountability. Establish Observability Build observability across the platform using service-level objectives, structured logging, metrics, tracing, and alerting. Build FinOps Visibility Develop telemetry that tracks model and compute costs by tenant. The Anti-Sell Hands-on software engineering: This is not a cloud-operations or ticket-queue DevOps role. You must be able to write production software and contribute deeply to platform services. Operational ownership: You will participate in on-call operations and incident response and help build the processes required to operate a production platform. Deployment complexity: The platform must operate across client cloud accounts, dedicated instances, and sovereign environments. Team accountability: The platform must be observable, operable, and maintainable by the team rather than dependent on one individual. Our Enterprise AI Platform Engineers Typically Have Production platform engineering experience: Six or more years of platform or infrastructure engineering experience supporting production SaaS. Customer-controlled deployment experience: Experience shipping a product that customers run in their own environment, including in a VPC, a self-hosted environment, or an air-gapped environment. Strong software engineering depth: Deep expertise in at least one backend language, such as Go, Ruby, Python, or TypeScript, with the ability to read and work across the others. Cloud and infrastructure expertise: Deep experience in at least one cloud and comfort working in a second, including private networking, KMS, IAM, Kubernetes, Helm, Terraform or Pulumi, and GitOps. Reliability and observability ownership: Experience carrying a pager, running incidents, and working with tools such as OpenTelemetry, Prometheus, or Datadog. Data and platform systems experience: Familiarity with Postgres, object storage, queues, and vector stores. Candidates whose experience is limited to cloud operations or ticket-queue DevOps without software engineering, or who have never operated multi-tenant systems, will not be a fit for this role. Top-Tier Candidates Will Have Experience with model serving and model gateways, including vLLM, LiteLLM, or Triton. Experience implementing SOC 2 controls in CI. Experience deploying and operating AI systems in regulated or highly controlled environments. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

-погружаться в процессы, данные и бизнес-логику клиентского подразделения. -общаться с заказчиками и пользователями, уточнять потребности и формулировать техническое решение.

Location: Islamabad, Pakistan Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Conditions & Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Conditions & Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid Delivery Hub is one of inDrive’s business units responsible for building and scaling the delivery product, which is rapidly expanding into new markets and adopting an AI-first approach to engineering processes. We are looking for a Tech Lead who will combine hands-on engineering with leadership responsibilities: owning team delivery and execution, defining technical direction and ensuring solution quality, as well as supporting engineers’ growth through feedback, mentoring, and regular 1:1s under the guidance of an Engineering Manager. Key Responsibilities Translate business needs into a technical strategy with measurable outcomes. Ensure alignment with the global company strategy. Identify and propose architectural and technical improvements across the product and platform, using data and trade-off analysis. Advocate, present, and defend technical solutions at the organizational level in collaboration with various stakeholders (Product, Data, Security, SRE, etc.). Participate in reviewing product & technical strategies as a subject-matter expert. Lead the process of technical research and implementation to create or improve services and systems. Write clean, effective, and maintainable code based on company standards. Participate in improving company-wide code and review standards. Take ownership of and improve the Android development lifecycle. Help engineers grow and increase their productivity. Create effective processes for knowledge sharing and collaborative work. Increase the re-use of best practices across teams. Lead task decomposition; mentor engineers and contribute to engineering guidelines. Skills, Knowledge and Expertise 6+ years of commercial Android development; expert in Kotlin and modern Android APIs. Hands-on experience with Retrofit/OkHttp, Coroutines/Flow (plus RxJava for legacy), Jetpack (Compose, WorkManager), Google Maps, FCM, and Gradle. Proven experience with CI/CD (GitHub Actions/GitLab CI), feature flags, and large-scale A/B experimentation. Strong grasp of offline storage, concurrency, performance tuning, and network debugging. Practical expertise in Clean Architecture and mainstream patterns (MVI/MVVM/MVP) applied in production. Deep understanding of client-server interaction and how to make it efficient. Knowledge of specific features and limitations for various use cases. Proven record of mentoring and technical leadership, shaping processes, and raising engineering quality across teams. Strong grasp of backend-service principles, API design, networking, concurrency, and performance optimization. Experience setting up telemetry, dashboards, and automated alerts for production systems; risk assessment and mitigation. Exceptional communication, strategic thinking, and influence; able to drive alignment across multiple teams. AI-first mindset and readiness to adopt AI tools in engineering processes. Real backend development experience is a strong plus. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.