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Project Responsibilities: Design and ship specialist AI agents that use memory, tools, data and multi-step reasoning. Build multi-agent orchestration that routes work between specialist agents, manages dependencies and synthesises conflicting outputs.

You’ll take direct ownership of security across cloud infrastructure, CI/CD pipelines and development processes, helping build products that are both secure and scalable. 🔹 Securing cloud infrastructure.

Location: United States (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. As a member of the Teleport Customer Solutions Team, you will own the full post-sales lifecycle for a portfolio of strategic customers: implementation, technical support, ongoing business reviews, and identifying expansion opportunities. You will be responsible for implementing, supporting, evangelizing, and expanding Teleport at our top customers, and dedicated to proactively driving adoption so that they achieve the maximum value from all Teleport products and solutions. This is a deeply technical role. Many of our customers run Teleport on Kubernetes, and you will be expected to operate comfortably at the cluster level: designing and deploying Teleport in customer environments, troubleshooting failing workloads, and debugging access, networking, and certificate issues alongside customer engineers. You will work directly with customers to design solution architecture, deploy and configure Teleport hands-on, share implementation best practices, triage and debug technical issues, develop and maintain training programs, evangelize the solution to a wider customer organization, and plan and assist with enterprise-wide rollouts. You will act as a customer champion within Teleport and help prioritize product feedback by working with the Product team. As a Senior Customer Success Engineer, you will be the primary lead for identifying and providing initial triage of technical blockers via shared chat, ticket, and meetings. As our company grows and we launch new offerings, the requirements of this position may shift. You should be comfortable with change and have an interest in continually learning and advancing your skillset. What you’ll bring - Deep, hands-on Kubernetes experience. You have built clusters with kubeadm (not just managed services), configured RBAC and certificate-based user access, and debugged failing workloads, networking, and control-plane issues. CKA certification is strongly preferred; CKAD is a plus. - Experience with cert-manager and TLS certificate management, Helm, and GitOps tooling (ArgoCD or Flux) - Demonstrable experience with the following security principles and technologies: SSH, PKI, 2FA, SSO (SAML, OIDC), and RBAC - Linux administration skills - Hands-on experience with one of the major public cloud providers: AWS, GCP, or Azure (certifications are a plus) - 8+ years of experience in customer-facing software onboarding, software services, solution architecting, or system administration roles - Exceptional hands-on troubleshooting, testing, and debugging skills, with the tenacity to identify and resolve technical issues as they arise - Outstanding soft skills and excellent verbal and written communication - Project management experience and the ability to handle multiple clients simultaneously What you’ll be doing - Design solution architecture for Teleport in customer environments - Deploy and configure Teleport in customer environments, including Kubernetes-based deployments, and communicate implementation best practices to the customer - Act as the point person for technical issues, troubleshooting Kubernetes-based customer environments (cluster, networking, certificate, and access issues) and escalating high-complexity cases to Engineering - Work closely with Sales and Product to identify customer needs tied to tangible upsell and cross-sell opportunities - Plan and deliver Quarterly Business Reviews for customers, drive adoption within the customer organization, and plan and assist with enterprise-wide rollouts of Teleport - Develop, maintain, and deliver customized training, and evangelize the solution to a wider customer organization - Maintain strong working relationships with key client stakeholders and expand those relationships into other parts of the organization - Document each customer’s business goals and challenges to align Teleport with the most value possible - Serve as a subject matter expert on existing and upcoming Teleport solutions for customers and teammates, staying up to date on the latest releases - Collaborate with Sales and Product to provide valuable feedback for product improvement - Support our broader customer base seeking new solutions and best practice recommendations Our interview process Our interview process includes a hands-on technical assessment. You will build a kubeadm Kubernetes cluster, configure RBAC with certificate-based user access, deploy an application, present your design and its tradeoffs, and work through live Kubernetes troubleshooting scenarios. Candidates should be comfortable operating Kubernetes at this level without relying on managed-service abstractions. You are welcome to use AI tools for the take-home portion, with full disclosure of how they were used. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Canada, Vancouver, BC Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are looking for a Senior Prototype Engineer to drive the development, assembly, integration, and validation of advanced humanoid robotic systems, with a particular focus on robotic hands, arms, end-effectors, and complex electromechanical mechanisms. This role combines deep hands-on engineering expertise with proven technical leadership and team management experience. You will take ownership of complex prototype development activities, guide engineering execution, and work closely with Mechanical, Electrical, Embedded Software, and Controls teams to transform innovative designs into reliable, high-performance robotic systems. We are looking for someone who has successfully led and developed technical teams, established efficient prototyping processes, and delivered complex hardware projects in fast-moving engineering environments. As our Vancouver robotics operations continue to grow, this position offers the opportunity to progress into a broader technical leadership role, helping shape our prototyping capabilities, engineering standards, and team development. Your work will directly influence the technical quality, development speed, and scalability of Humanoid's next-generation robotic platforms. WHAT MAKES THIS ROLE EXCITING - Take ownership of complex humanoid robot prototyping, including dexterous hands, arms, actuators, and advanced electromechanical assemblies. - Combine hands-on engineering with technical leadership, guiding complex prototype development from concept through validation. - Apply your previous team management and mentoring experience to strengthen engineering execution and build effective prototyping practices. - Solve challenging problems in robotic manipulation, precision actuation, sensor integration, and hardware-software interaction. - Collaborate with a multidisciplinary robotics team spanning mechanical, electrical, embedded software, and controls. - Play a key role in scaling Humanoid's prototyping capabilities, with potential to grow into a broader team leadership position. WHAT YOU’LL DO - Lead the development, assembly, integration, and commissioning of complex robotic prototypes, including hands, arms, end-effectors, actuators, sensors, and electromechanical subsystems. - Take ownership of prototype development from initial build through calibration, testing, debugging, validation, and design iteration. - Provide technical leadership and direction to engineers and technicians, helping establish priorities, resolve engineering challenges, and maintain execution quality. - Apply previous team management experience to mentor technical team members, develop capabilities, and establish effective engineering workflows. - Coordinate prototype development activities, ensuring clear technical priorities, efficient resource allocation, and alignment with engineering milestones. - Drive advanced hardware troubleshooting, root-cause analysis, and failure investigation across mechanical, electrical, and embedded systems. - Oversee the integration, calibration, and performance optimization of actuators, encoders, force/torque sensors, tactile sensors, and robotic control interfaces. - Partner with Mechanical, Electrical, Embedded Software, and Controls teams to identify design limitations, integration risks, and opportunities for performance improvement. - Lead and contribute to technical design reviews, providing practical engineering feedback on assembly, reliability, serviceability, and manufacturability. - Establish and improve prototype assembly procedures, integration workflows, testing methodologies, and validation standards. - Drive rapid prototyping and engineering iteration, ensuring timely resolution of technical blockers and efficient development cycles. - Support system-level testing, performance characterization, reliability assessments, and prototype-to-production transitions. - Develop and maintain technical documentation, including assembly instructions, test procedures, troubleshooting guides, SOPs, and engineering reports. - Collaborate with engineering and program leadership to plan prototype builds, track technical progress, manage risks, and communicate development priorities. - Work closely with teams across Vancouver, London, and Boston, supporting cross-site integration and technical collaboration. - Promote a safe, organized, and efficient prototyping environment, maintaining appropriate tools, equipment, and engineering practices. WE’RE LOOKING FOR - 10+ years of professional experience in robotics prototyping, mechatronics, electromechanical integration, or advanced robotic hardware development. - 5+ years of proven track record directing technician groups within a dynamic research and development setting. - Demonstrated experience mentoring, developing, and coordinating technical team members, with the ability to establish priorities and drive engineering execution. - Bachelor's or Master's degree in Robotics, Mechatronics, Mechanical Engineering, Electrical Engineering, or a related technical discipline, or equivalent practical engineering experience. - Strong hands-on experience building, integrating, testing, and troubleshooting complex robotic or electromechanical systems. - Proven track record of taking complex hardware prototypes from concept through integration, commissioning, validation, and delivery. - Deep understanding of precision mechanical assemblies, actuators, motors, sensors, wiring, and embedded hardware interfaces. - Experience with fine-pitch soldering, precision wiring, cable assemblies, connectors, and electrical integration. - Strong knowledge of actuator commissioning, sensor calibration, motor control interfaces, and robotic system testing. - Ability to interpret mechanical drawings, electrical schematics, wiring diagrams, and engineering documentation. - Experience using laboratory and diagnostic equipment, including oscilloscopes, multimeters, power supplies, and precision measurement instruments. - Demonstrated ability to lead complex troubleshooting, root-cause analysis, and engineering problem-solving activities. - Experience establishing or improving prototype assembly, integration, testing, and validation processes. - Strong project coordination skills, including technical planning, resource prioritization, risk management, and cross-functional execution. - Excellent communication skills, with the ability to collaborate effectively with engineering teams, technical leadership, and program stakeholders. - Ability to balance hands-on technical involvement with broader engineering leadership responsibilities in a fast-paced R&D environment. BONUS QUALIFICATIONS - Experience developing humanoid robots, dexterous robotic hands, robotic arms, or advanced manipulation systems. - Previous experience building, scaling, or managing a robotics prototyping, integration, or hardware development team. - Experience with multi-DoF robotic mechanisms, precision actuators, transmissions, and complex joint assemblies. - Experience with tactile sensors, force/torque sensors, encoders, IMUs, and robotic sensing technologies. - Knowledge of motor control systems, drive tuning, actuator performance analysis, EtherCAT, or CAN communication protocols. - Experience with rapid prototyping and fabrication, including FDM/SLA 3D printing, CNC machining, and laser cutting. - Familiarity with SolidWorks or similar CAD tools and the ability to perform mechanical design modifications. - Experience using Python, ROS/ROS2, or other tools for robotic hardware testing, calibration, or automation. - Experience developing automated test setups, hardware validation infrastructure, or data acquisition systems. - Experience supporting hardware NPI, prototype-to-production transitions, or low-volume robotic manufacturing. - Background in robotics, autonomous systems, aerospace, automotive, or advanced hardware startups. WHAT WE OFFER - Comprehensive extended health benefits starting on your first day, including fully paid medical and dental, virtual care, employee and family assistance, and worldwide emergency medical support. - Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays. - Paid end-of-year shutdown: annual company-wide holiday closure spanning Christmas through New Year’s Day. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives.

Location: Limassol, Cyprus Spotware Systems is seeking an experienced Senior Java Engineer to join our dynamic team in our office in Limassol. As a Senior Java Engineer, you will be responsible for designing, developing, and maintaining high-quality software solutions using Java and related technologies. You will be communicating with the Product Manager, Client-Side Developers, DevOps and the DBA team. Responsibilities: Designing, developing, and implementing Java-based applications, components, and services. Collaborating with architects and technical leads to define software architecture and design patterns. Working closely with QA engineers to ensure the quality and reliability of software deliverables. Clear specifications and requirements will be provided to you by the Product Manager and there will be strict plans and sometimes deadlines to follow. Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. ​​​​​​​3+ years of experience as a Java Developer. Solid experience with unit testing. Strong J2SE programming skills. Multi-threading (Executors, locks). Understanding of Collections framework and its pitfalls. Experience with Spring Web and Spring IoC. Experience in TCP/IP networking and sockets programming (Netty nice to have) Strong experience with SQL. Skills in a high performance and low latency environments Strong analytical skills required to solve complicated technical problems. Fluency in Russian and B1+ in English language. You use AI not just occasionally, but as a core part of how you think, work, and deliver results. Being AI-augmented is part of what makes you a top performer. A plus to have: Netty ​​​​​​​Quarkus Redis PostgreSQL Protobuf Conditions: Private medical insurance. ​​​​​​​Relocation support (if applicable), including an entry permit , relocation bonus , flight tickets , and airport pickup . Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Limassol, Cyprus About the Role Spotware Systems is looking for an experienced Customer Support Engineer to join our team in Limassol, Cyprus . You will support B2B clients and colleagues across the technical and functional aspects of our products, helping investigate and resolve issues in a fast-moving brokerage environment. This role will suit someone who enjoys getting to the root of complex problems, takes ownership from the first report through resolution, and communicates clearly with both technical and non-technical stakeholders. Responsibilities Provide high-quality B2B technical and functional support to clients. Own and investigate reported issues, resolving them where possible or escalating them with clear evidence and context. Use logs, SQL, system behaviour, and application-level analysis to isolate root causes and determine next steps. Diagnose issues involving MT4/MT5 environments, plugins, gateways, liquidity bridges, operating systems, and applications. Coordinate with clients, internal teams, and third parties, keeping stakeholders informed and driving issues through to resolution. Create and maintain clear documentation for both internal and external use. Continuously deepen your knowledge of forex and our platform while contributing to improvements in support quality and processes. Requirements 3+ years of experience in technical support within a brokerage or fintech environment. Good working knowledge of MT4/MT5 Manager and Administrator terminals, including plugins and gateways. Good working knowledge of liquidity bridges such as oneZero, PrimeXM, Centroid, or similar solutions. Practical SQL skills, including the ability to write, understand, and troubleshoot queries for data analysis and issue investigation. Experience providing operating-system and application-level support. Strong problem-solving and investigation skills, supported by a structured and analytical approach. Strong working proficiency in written and spoken English. Comfort using AI tools in day-to-day work to improve efficiency, problem-solving, and the quality of results. Excellent organisational skills, with the ability to prioritise and manage your workload effectively. Strong numerical and analytical skills. Willingness to join a planned rotating shift schedule after training; the team provides 24/6 coverage, including Saturdays. Nice to Have Experience working with or supporting API integrations. Knowledge of the FIX protocol. Programming or scripting skills in any language Benefits Competitive salary. Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including accommodation, banking, healthcare, and everyday guidance. Comfortable office environment with fresh fruit every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Limassol, Cyprus Spotware Systems is seeking an experienced Senior QA Engineer (Full stack) to join our dynamic and highly professional product team in our Limassol office (or remote). This role involves working closely with product managers and developers to ensure our products are robust, scalable, and meet high-quality standards. You will be involved in functional testing, customer scenario testing, stress testing, performance testing, sanity testing, enhancing the automation processes, and the overall QA improvement process. Key Responsibilities: Conduct thorough requirements analysis and collaborate with cross-functional teams to understand technical specifications. Perform manual/automate functional/non-functional testing. Identify, track, and report bugs, ensuring they are resolved promptly with clear root cause analysis. Monitor and maintain test environments to ensure stability and efficiency in test execution. Contribute to and execute test strategies for complex systems with high availability and reliability requirements. Collaborate in code reviews to maintain high quality across automated tests and production code. Requirements: 5+ years of experience in Quality Assurance, specifically in backend projects. 2+ years of experience in troubleshooting Java applications. Proficiency in Java programming for test automation development. Solid knowledge of testing methodologies and test design techniques (e.g., boundary value analysis, equivalence partitioning, state transition testing). Experience in designing and maintaining test cases in Allure TestOps, including traceability to requirements and test reporting. Hands-on experience with microservices architecture and event-driven architecture, including understanding of inter-service communication, message brokers, and asynchronous processing. Proven experience testing TCP socket-based integrations (e.g., WebSocket, gRPC). Strong analytical skills with the ability to perform impact analysis, create traceability matrices, and work with both functional and non-functional requirements. Experience in identifying root causes and understanding issue consequences within complex backend environments. Good working knowledge of SQL for validating backend data and queries. Linux systems knowledge (CLI) for troubleshooting and test environment maintenance. Excellent communication skills with a strong command of English (B1 or above) and Russian. You use AI not just occasionally, but as a core part of how you think, work, and deliver results. Being AI-augmented is part of what makes you a top performer. Preferred Qualifications: Familiarity with binary protocols (e.g., FIX). Hands-on experience with Databases like PG, Clickhouse Hands-on experience with messaging and caching systems like Kafka, Redis Experience in the Forex industry or trading platform knowledge. Conditions: Competitive salary. Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

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Location: Limassol, Cyprus Workplace: hybrid We are looking for an Application Security Engineer in the AppSec team. As a Senior Application Security Engineer at inDrive, you will own whole areas of our AppSec program, from security requirements and design reviews to controls that work in production. You will work with product, platform and infrastructure teams on new architecture, AI systems and the security of our apps and services. The role fits a hands-on engineer who reviews code and architecture, leads work across several teams and makes security decisions based on data. Key Responsibilities Own one or more areas of the AppSec program end to end, including the plan, the risks and the metrics. Run security design reviews and threat modeling of new features, services and AI systems, and defend security requirements at the architecture committee. Assess the security of web, mobile and API applications and find variants of confirmed vulnerabilities across other services. Coordinate external security assessments and bug bounty findings, from triage and prioritisation with teams to fix verification. Design secure authentication and authorization between users, services and internal tools together with platform teams. Choose, pilot and tune security tools, and keep only those that pay off in real findings. Turn incidents and assessment results into lasting controls, policies and secure defaults for developers. Consult development teams on complex security issues and take shifts in AppSec duty for Critical and High incidents. Skills, Knowledge and Expertise Higher education in IT, preferably in information security. Knowledge of mobile application security on Android and iOS, client-server trust, app integrity and protection against bots and account takeover. Deep knowledge of web and API security, including authentication and authorization flaws, SSRF, injections and business logic issues, and the ability to find variants of a vulnerability class across many services. Strong understanding of identity and access, OAuth 2.0, OIDC, JWT, signing key rotation, mTLS, service-to-service authentication and SSO. Understanding of security risks of AI systems and LLM agents, such as prompt injection, excessive tool permissions and agent access to sensitive data, and practical use of AI in your own security work. Practical understanding of cloud-native infrastructure, Kubernetes, containers, API gateways and AWS. Experience in threat modeling and security design review of new features and architecture. Understanding of vulnerability management and risk, including severity, SLA, compensating controls and risk acceptance. Ability to read and review code in at least one language, preferably Golang. Track record of leading projects with two or more teams from a requirement to a verified fix, and clear written English. Experience with secrets and key management, rotation and response to credential leaks. Nice to have Knowledge of software supply chain security, dependencies, CI/CD pipelines and source control platform hardening. Experience tuning SAST, DAST and SCA tools for precision and judging a tool by noise and cost per real finding. 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. Annual salary from 70 700 EUR gross. Final benefits may vary depending on the location.

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: Limassol, Cyprus Workplace: hybrid We’re looking for an Engineering Manager to lead our Grocery Marketplace Experience team. The team builds the native Grocery and Food storefront in the inDrive super app: the iOS and Android experience and the mobile backend-for-frontend. In this role, you’ll hire and lead a cross-functional team of 8–9 engineers, and build high-performance, scalable systems together with them. Key Responsibilities Hire, lead and grow a cross-functional engineering team (iOS, Android, backend, QA), supporting new developers’ adaptation and career development Manage project planning, execution, and resource allocation to ensure high-quality and on-time software delivery Align engineering efforts with business goals through close collaboration with stakeholders and the other teams Develop and optimize engineering processes, tools, and technologies in collaboration with the teams Build and nurture a developer community within the company and participate in external conferences Oversee the use of core technologies, including Golang, Kubernetes and native iOS and Android development, to ensure efficient development practices Skills, Knowledge and Expertise Demonstrated experience in engineering management with a strong background in software development Solid understanding of system design, high-volume projects, server and client architecture, and development limitations Excellent leadership and communication abilities, with a talent for explaining complex technical concepts by sharing your technical expertise Ability to manage multiple projects simultaneously, ensuring timely and quality delivery Enthusiasm for new technologies and a commitment to ongoing skill development and teamwork BS/MS in Engineering, Computer Science, or a related field Experience working on Grocery, Marketplace, or other e-commerce products, with a strong understanding of their business and technical challenges Experience in managing mobile (iOS/Android) teams is a 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 Annual salary from 90 700 EUR gross 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: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 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: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 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: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 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 inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 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. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid Autonomous vehicles are coming to the markets in which inDrive serves, but the AV industry has a blind spot: it has almost no data from the cities where we operate. inDrive runs one of the world's largest ride-hailing fleets, concentrated in exactly the emerging markets global AV players have yet to reach. We are building the team that turns that fleet into an AV grade data platform: large scale multi sensor collection from real vehicles on real trips, evaluation of driving models against human drivers, automated and human in the loop causal annotation, and camera first 3D scene reconstruction for simulation. We are hiring the founding leader of this workstream. This is a rare true zero to one: you will hire the team, stand up the vehicles and the data platform, set the technical bar, and own delivery end to end. Key Responsibilities Own the AV data workstream end to end. Roadmap, execution, quality, and outcomes, from vehicle data capture through processing, annotation, and delivery of AV-grade datasets Build the team from zero. Hire and lead a multi disciplinary team covering large scale data engineering, search and serving, ML engineering across divergence detection, edge inference, and VLM based auto labeling, 3D reconstruction research, and data annotation operations. Own the hiring bar and the team's growth Management : Manage ML engineers' charter across the cluster Set technical direction across disciplines. Provide design authority for the full pipeline, including onboard capture, cloud ingestion and processing at fleet scale, semantic and causal labeling, and neural scene reconstruction, and make the key technical decisions on evidence Partner with leaders across the organization. Work closely with the leaders of data platform, ML ops, geo and mapping, and inDrive's wider autonomous vehicle initiatives to align roadmaps, share infrastructure, and unblock delivery Own external partnerships. Drive the technical relationships this work depends on, including the NVIDIA AV ecosystem and prospective AV partners consuming our data Balance research and delivery. Several of the core questions here are open research. You frame milestones as decision gates, redirect work based on evidence, and keep the team shipping measurable results on a schedule Skills, Knowledge and Expertise 10+ years of engineering experience in applied ML, autonomous systems, or large-scale data and ML platforms, including 3+ years in the autonomous vehicle industry or closely adjacent autonomy domains (AV data, simulation, or evaluation platforms, ADAS, robotics perception, HD mapping), and 4+ years managing engineering teams, with a track record of building teams from scratch and delivering from zero to one Strong command of the modern AV and foundation model landscape: vision-language models, multi-modal perception, 3D reconstruction and neural rendering, and the NVIDIA AV ecosystem. Deep enough to set direction, review designs, and make evidence-based technical calls Genuine engineering leadership range: you have successfully led data engineering, platform, or infrastructure delivery, not only ML research, and can evaluate and unblock work across those disciplines Proven ability to take large-scale ML systems from conception to production: data pipelines, training and evaluation infrastructure, and models running under real-world constraints Strong external presence: experience owning technical partnerships, vendor and licensing relationships, or customer-facing technical engagements at a senior level Deep fluency in the modern ML stack (PyTorch or equivalent, large-scale training and inference, Python and Linux) and in cloud data platforms at multi-terabyte scale Bachelor's degree in Computer Science, Engineering, or a related field Nice to have: AV industry experience specifically in offline evaluation, data mining, annotation platforms, or simulation, as distinct from on-vehicle stack development Advanced degree (MS or PhD) in ML, robotics, or computer vision Experience operating in emerging markets, and comfort building where the playbook does not exist yet 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 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.