Location: Mont-Joli, Quebec, Canada
À propos de Bradken
Depuis 1902, Bradken relève les défis les plus ambitieux de l’industrie en les transformant en opportunités d’innovation. En tant qu’entreprise du groupe Hitachi Construction Machinery, nous sommes un leader mondial dans la conception et la fabrication de solutions d’usure pour le secteur minier.
À notre fonderie de Mont-Joli, nous contribuons à bâtir un avenir plus durable en poursuivant notre objectif de carboneutralité d’ici 2030. Chaque jour, nos équipes collaborent pour produire des solutions essentielles utilisées partout dans le monde.
Rejoindre Bradken, c’est intégrer une entreprise où la sécurité, le respect, la collaboration et l’amélioration continue sont au cœur de tout ce que nous faisons.
Votre rôle
Vous souhaitez apprendre un métier spécialisé et développer votre expertise dans un environnement manufacturier unique?
À titre d'Apprenti(e)-Modeleur(se), vous travaillerez aux côtés de professionnels expérimentés afin de participer à la fabrication, l'entretien et la réparation des modèles utilisés dans les opérations de fonderie. Grâce au compagnonnage et à l'apprentissage pratique, vous développerez progressivement les compétences nécessaires à la maîtrise du métier.
Vos responsabilités
Sous la supervision du contremaître et en collaboration avec l'équipe de modèlerie, vous serez appelé(e) à :
Participer à la réparation et à l'entretien des modèles et des boîtes à mouler.
Préparer les matériaux et composantes de bois selon les spécifications établies.
Effectuer le collage, l'assemblage et la finition des pièces.
Appliquer les scellants et revêtements requis sur les modèles.
Utiliser divers outils manuels, instruments de mesure et équipements de travail du bois.
Développer vos compétences en lecture de plans et en calcul technique.
Apprendre les méthodes et techniques du métier grâce à l'accompagnement de modeleurs expérimentés.
Maintenir un environnement de travail propre, sécuritaire et organisé.
Respecter les normes de qualité, de santé, de sécurité et d'environnement en vigueur.
Profil recherché
Qualifications requises
DEP en modelage, ébénisterie, menuiserie ou domaine connexe.
Intérêt marqué pour le travail manuel de précision.
Souci du détail et de la qualité du travail exécuté.
Désir d'apprendre un métier spécialisé à long terme.
Ce qui vous permettra de réussir
Vous aimez travailler de vos mains et créer des pièces de qualité.
Vous êtes curieux(se), motivé(e) et avez une forte volonté d'apprendre.
Vous appréciez le travail d'équipe et la collaboration.
Vous faites preuve de minutie, de rigueur et de professionnalisme.
Vous adhérez aux valeurs de Bradken :
Challenge, Customer et Communication
.
Exigences et conditions d'embauche
Capacité à travailler dans un environnement manufacturier.
Disponibilité pour travailler selon les besoins opérationnels du secteur.
Réussite d'un examen médical préemploi incluant un dépistage de drogues et d'alcool.
Vérification des antécédents judiciaires requise avant l'entrée en poste.
Postulez dès aujourd'hui!
Nous avons actuellement plusieurs opportunités à pourvoir pour soutenir la croissance de nos activités.
Venez apprendre un métier spécialisé, développer votre savoir-faire et contribuer au succès d'une entreprise manufacturière reconnue mondialement.
Joignez-vous à Bradken Mont-Joli et participez à la construction de notre avenir.
Location: Remote
Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world.
At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded.
About the Position
This project will provide a broad range of assessment, monitoring, and evaluation (AM&E) support to DSCA. Project tasks will include desk and field research, analysis, data collection and visualization, strategy development, policy writing and coordination, and AM&E capacity building.
*This role is remotely based in the continental United States and requires travel in accordance with the guidelines below.
Responsibilities
AM&E Analyst will support DSCA in in carrying out analyses that stay up to date with emerging AM&E techniques, tools, and approaches in specific subject matter.
Provide day-to-day research, analysis, and program support services.
Conduct field evaluations.
Provide technical and strategic guidance on AM&E.
Manage AM&E projects and tasks.
Travel up to 25-50% domestically and internationally as determined by client and portfolio requirements and demands on regional team, while adhering to approved budget, cost reasonableness requirements, and all applicable corporate and federal travel regulations.
Qualifications
Bachelor’s degree;
Three (3) years of AM&E experience, including analyzing and summarizing disparate information in a clear and concise manner, drafting data collection methodologies, creating organizational work plans based on higher-level goals, leading and coordinating multiple offices through multiple step processes without being a direct supervisor, and supporting staff with a variety of levels of knowledge and capabilities;
Strong oral and written communication skills to deal effectively with mid and high level partner contacts, the host government, and local communities;
Ability to apply government agency regulations and procedures related to controlled unclassified information and foreign disclosure to daily work requirements;
Excellent computer skills, including word processing, spreadsheet programs and data base management;
Five (5) years of AM&E or capability-based-assessment (CBA) or other types of experience in one or more of the following subject matters: counterterrorism operations; Counter-weapons of mass destruction operations; counter-illicit drug trafficking operations and counter-transnational organized crime operations; maritime and border security operations; military intelligence operations and Operations or activities that contribute to an international coalition operation that is determined by the Secretary to be in the national interest of the United States; air domain awareness operations; cyberspace security and defensive cyberspace operations; humanitarian assistance and demining; smallscale construction associated with any of the above mission areas; Security Sector Governance (both across each of the above program areas as well as through distinct programs focused solely on Security-related institutions that span these broad program areas);
DoD Secret clearance.
Preferred Qualifications
Five (5) years of experience and knowledge of public policy and operations,
Five (5) years of experience planning, designing and implementing assessment, monitoring and evaluation programs or projects in the security sector for a national organization, an NGO/IGO, the UN, or private industry;
Master’s degree (or higher) and formal training or education in the field of assessment, monitoring, and evaluation;
One to three (1-3) years of experience planning, executing, or overseeing policy or guidance for SC activities implemented under sections 332, 333, 1263, 342, 345, 401, or 2561 of Title 10, Chapter 16
Below is the pay range aligned with this position. When developing a range, Dexis evaluates compensation holistically, triangulating between external market research
, our budget for the position, and internal equity to arrive at a figure that is fair and competitive. Offers within this range will be based on an individual candidate's qualification, relevant education and experience, skills, performance, and organizational needs.
Dexis pay range for this role:
$80,000
—
$100,000 USD
Benefits
Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for
full-time, US-based
positions only. These benefits include:
Medical and prescription drug coverage:
A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents.
Dental insurance:
Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits.
Company-paid vision insurance:
Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis.
Employer-funded health reimbursement arrangement (HRA):
Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses.
Company-paid life and disability insurance:
Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage.
Optional supplemental insurance:
Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents.
Employee Assistance Program (EAP):
Company-paid access to confidential counseling and legal and financial support resources for employees and their families.
Health and wellness resources:
Virtual care, behavioral health resources, and wellness programs available through the medical plan.
Benefits assistance:
Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center.
Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements.
Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you?
If you are passionate about this opportunity, apply now!
Only those applicants who meet the above criteria will be contacted for interview.
Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.
Location: Almaty, Kazakhstan
Workplace: hybrid
We are seeking an
Arts & Culture Producer
to lead inVision’s art activations: public installations, exhibitions, live events and cultural partnerships that carry our initiatives’ messages to a mass audience. The role sits in the Media, Art and Narrative Domain, inVision’s in-house marketing, content and storytelling engine, which turns each initiative’s mission into campaign strategy, content, art and distribution that change how people think and act across the Global South. Together with each initiative, the role decides where art is the strongest tool, takes every activation from first idea to the moment the audience meets the work and designs it to travel beyond the room through press, social, out-of-home and the inDrive app, with impact goals set before launch. It also builds the network of artists, venues and cultural partners that lets inVision repeat and grow this work.
Key Responsibilities
Build the art activations approach across the initiatives: where art adds the most value, which formats to use, and how it fits each comms plan and budget.
Deliver activations end to end: artist selection, commissioning, production, logistics, installation and on-site delivery.
Hire and manage contractors (fabricators, AV and build teams) and hold them to a high standard of finish.
Manage budgets, timelines, suppliers and venues for every activation.
Plan earned media and content from the start, so each activation reaches press, social and out-of-home.
Agree impact goals before launch, then work with Project Managers and research partners to show how the work shifted the audience.
Build and steward a network of artists, galleries, cultural institutions, festivals, local partners and funders.
Protect brand, dignity and careful imagery on sensitive subjects, check every venue and partner before committing, and secure artists’ rights to film, photograph and use the work across inVision’s channels.
Skills, Knowledge and Expertise
Education:
A background in art, design, architecture, film, live events or media production is an advantage.
Experience:
7+ years producing complex projects from idea to delivery (art, live events, exhibitions, media production or similar), running the production yourself. International or cross-country project experience is an advantage.
People management:
Strong experience leading external contractors, suppliers and artists is required.
Knowledge and skills:
End-to-end production management: budgets, timelines, suppliers, venues, logistics and installation
Briefing, negotiating with and managing contractors and suppliers
Artist commissioning, contracts, rights and consents
Campaign planning: how channels, audiences and earned media work
Setting impact goals and working with research partners to measure results
Languages:
English (Advanced, C1)
Key Competencies
Ownership: sees what needs doing and drives it to the end without waiting to be asked
High standards of execution and attention to detail
Strategic thinking: connects each idea to the initiative’s goals and makes the case to stakeholders
Stakeholder management across initiatives and countries
Cultural sensitivity, and real care for mission and social impact
Location: Limassol, Cyprus
Workplace: hybrid
At inDrive, a passenger and a driver agree on a price in seconds. What happens next, from the moment the driver accepts the order until the passenger steps out of the car, decides whether that passenger will open inDrive again.
We are looking for a Senior Product Manager to own the
passenger's ride experience
: from driver assignment to a successfully completed trip. You will shape how passengers wait for and meet their driver, how they feel during the ride, and how the trip ends.
This role goes beyond screens and flows. Your work will directly affect completed rides, cancellations, passenger trust and retention.
Key Responsibilities
Own the Ride Experience End-to-End:
You will define and evolve the passenger journey after a driver is assigned: waiting for pickup, meeting the driver, the ride itself and the end of the trip.
Turn More Matches into Completed Rides:
Find and remove the reasons why passengers and drivers cancel after they have agreed on a ride, so that more matched orders end in a successful trip.
Make Pickup Predictable:
Improve ETA accuracy, driver tracking, pickup point clarity and passenger-driver communication, so that passengers and drivers find each other quickly and without stress.
Build Trust and Safety into the Ride:
Together with the safety team, develop in-ride features such as trip sharing, route monitoring and emergency tools that help passengers feel safe and in control.
Close Every Trip Well:
Own the end of the ride: trip summary, payment confirmation, ratings and feedback, and resolving post-trip issues such as disputes or lost items.
Experiment and Optimize Continuously:
Run A/B tests and iterate on key levers such as waiting rules, notifications, communication tools and cancellation policies.
Collaborate Across Domains:
Work closely with driver product, safety, maps and geo, payments, customer support and data teams to keep the experience consistent for both sides of the ride.
Skills, Knowledge and Expertise
4+ Years in Consumer Marketplaces:
Proven track record leading high-scale consumer products, preferably in ride-hailing, delivery, or platforms with offline operational components.
Operational & System Understanding:
Hands-on grasp of real-world logistics—including ETAs, geolocation, cancellations, and support workflows—alongside two-sided marketplace incentives (passengers vs. drivers).
Data & Experimentation Rigor:
Skilled in A/B testing, funnel and cohort analysis, and data-driven decision-making under uncertainty to rapidly test bold hypotheses.
User-Centric & Safety Mindset:
Deep empathy for passenger anxieties during a ride, with the ability to design trust-building UX while treating safety as an absolute product requirement.
Cross-Functional Alignment:
Proven success collaborating across diverse product teams (Driver Experience, Maps, Safety, Payments, Support) to navigate conflicting priorities and reach consensus.
Clear & Strategic Communication:
Ability to articulate complex product trade-offs, operational trade-offs, and strategic decisions to both technical teams and executive leadership.
Communication:
Business-fluent English proficiency (B2/C1+ or equivalent).
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: 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 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
3+ 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 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
3+ 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 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
3+ 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: Quito, Ecuador
Workplace: remote
We are looking for a Supervisor to act as the single owner of courier and cargo onboarding flows, verification processes, and regulatory compliance for the Delivery Hub in Ecuador.
In this role, you will sit within the Supply department, which builds and protects our supply base across all geographies, and bridge the gap between regulatory rigor, product experience, and funnel conversion. Your job is simple to describe but difficult to execute: build a seamless, compliant onboarding machine that converts leads into active couriers while protecting the business against regulatory risks in Ecuador.
Key Responsibilities
Own the courier and freight registration and verification funnel end-to-end in Ecuador holding final accountability for the aha-moment conversion rate.
Develop the WatchDocs (registration platform) flow with the product team and agree on form configurations for the country.
Monitor funnel metrics, diagnose anomalies, and run drop-off research (surveys, courier calls, field tests with local teams).
Plan and execute WatchDocs data migrations from old to new platforms in Ecuador, tracking impact on registrations and conversion to avoid supply disruption.
Own KYC, identity verification, and document requirements for the Courier and Freight verticals in Ecuador.
Drive compliance platform features with engineering teams and maintain central compliance dashboards.
Represent Delivery Hub in cross-vertical compliance discussions, balancing legal and regulatory risk against funnel performance with data-backed arguments.
Prepare Ecuador for upcoming regulatory changes (e.g., labor and platform reforms) and support new launches in highly regulated environments.
Run supply funnel optimization projects, quantifying business impact (conversion, GMV, Net Revenue) together with analytics.
Own onboarding and compliance streams in quarterly and annual planning, maintaining single-source dashboards and concise decision-oriented materials for senior leadership.
Support the launch of fleet project in Ecuador.
Qualifications
Experience:
4+ years in project management or operations within ride-hailing, delivery, or marketplace platforms in Ecuador. Hands-on experience with registration/onboarding funnels, identity verification (KYC), or regulatory projects in these markets is a strong advantage.
Technical & Data Skills:
Proficiency in SQL (BigQuery) for independent data extraction/validation, experience building BI dashboards (Tableau or similar), and project management tool mastery (Jira, Confluence).
Domain Expertise:
Deep understanding of KYC/identity verification flows and core marketplace metrics (GMV, active supply, done rate, activation, funnel conversion), including local document and verification requirements in Ecuador.
Regulatory-to-Product Translation:
Strong ability to translate complex legal and regulatory mandates in Ecuador. (e.g., labor and platform regulations) into clear product requirements while quantifying their business impact.
Stakeholder & Cross-Cultural Management:
Fluent in Spanish and English; Portuguese is an advantage. Strong communication skills for working with local teams across Ecuador. Confident pushing back on stakeholders with data when proposed requirements threaten conversion.
Mindset:
Extreme end-to-end ownership, pragmatic problem-solving in fast-changing regulatory environments, high execution discipline, and a long-term strategic vision.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, and social impact projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Final benefits may vary depending on the location.
Location: Limassol, Cyprus
Workplace: hybrid
inDrive is seeking a Head of Loyalty Product to own inDrive’s Loyalty product domain end-to-end, reporting to the Director of SuperApp and Growth Businesses Product. The core challenge is to build a loyalty proposition that customers genuinely value and that measurably changes behavior. That means increasing frequency, retention, cross-service engagement, and customer lifetime value while maintaining sustainable economics.
This is not a role focused on running a rewards feature or promotional calendar. You’ll own Loyalty as a product domain and lead execution across multiple teams and markets. This happens in a highly cross-functional environment where many of the capabilities required to deliver the Loyalty experience sit outside your direct team.
Key Responsibilities
Own Loyalty product strategy and roadmap.
Define and continuously evolve the product strategy and roadmap for Loyalty across inDrive. Identify where loyalty can create the greatest customer and business value, translate those opportunities into clear product priorities, and own the resulting product outcomes.
Build the customer proposition.
Design loyalty experiences and mechanics that customers understand, value, and actively engage with. Own the end-to-end customer journey - from discovery and enrollment through earning, benefits, redemption, progress, and ongoing engagement.
Drive measurable changes in customer behavior.
Build products that improve frequency, retention, engagement, and customer lifetime value. Establish clear hypotheses and success criteria and distinguish incremental behavior from activity that would have happened anyway.
Connect product decisions to economics.
Partner closely with Business and Analytics to understand the economics behind the product. Make informed trade-offs between customer value, engagement, cost, and long-term impact rather than optimizing individual product metrics in isolation.
Build for an ecosystem.
Develop loyalty experiences and capabilities that can work across multiple inDrive services, customer journeys, and markets. Balance reusable, scalable product capabilities with meaningful differences in local customer behavior and market economics.
Lead experimentation.
Build a rigorous experimentation approach around loyalty propositions, rewards, incentives, and customer experiences. Use behavioral data, segmentation, and personalization to continuously improve what value is offered, to whom, and when.
Drive cross-functional execution.
Work closely with Engineering, Design, Data, Marketing, CRM, and product teams across inDrive. Identify and manage critical dependencies, create alignment around priorities and requirements, and drive the cross-team execution needed to deliver the overall Loyalty product outcome.
Build and lead the product team.
Build, lead, and develop the Loyalty product team. Set a high bar for product discovery, prioritization, experimentation, execution, and accountability, and create an environment where strong product talent can grow.
Build a strong measurement system.
Establish the measurement framework for Loyalty together with Analytics, combining experimentation, customer insights, and business performance to determine what should scale, evolve, or stop.
Skills, Knowledge and Expertise
Loyalty, membership, subscription, or engagement product depth.
You’ve built and scaled meaningful consumer loyalty, membership, subscription, rewards, or adjacent engagement products - not simply managed promotional campaigns.
Strong consumer product background.
You’ve built products in a scaled consumer technology environment such as mobility, delivery, marketplaces, e-commerce, travel, fintech, or another high-frequency digital category.
End-to-end product ownership.
You’ve owned a meaningful product area from strategy and discovery through execution, experimentation, and measurable customer and business outcomes.
Behavior-change mindset.
You understand how product mechanics, incentives, benefits, status, rewards, and customer experience influence behavior - and know how to distinguish genuine incremental impact from correlation.
Strong commercial judgment.
You can move fluently between customer experience and economics, understand unit economics and LTV, and make thoughtful trade-offs between growth, customer value, and cost.
Experimentation depth.
You have strong experience with controlled experimentation, segmentation, and behavioral data and use evidence to make product investment and prioritization decisions.
Cross-product thinking.
You’ve worked on products that span multiple customer journeys, business lines, or product teams and can create alignment and drive execution without relying solely on direct organizational authority.
Multi-market experience.
You’ve built or scaled consumer products across multiple countries or regions and understand how customer behavior, willingness to pay, incentives, and economics can differ across markets.
0-to-1 builder who can also scale.
You’re comfortable starting with ambiguity, shaping a proposition, validating it with customers and data, and then turning what works into scalable product capabilities.
Product leadership.
You’ve led and developed product managers, can set a strong product bar, and are comfortable working with senior stakeholders across Product, Engineering, Business, Finance, Marketing, and other functions.
Will be an advantage
Experience building loyalty or membership products for a multi-service consumer ecosystem or super app.
Experience with paid membership or subscription products.
Experience with rewards, cashback, wallet, payments, or incentive systems.
Experience with personalization, recommendations, CRM, or lifecycle decisioning.
Marketplace or two-sided platform experience.
Experience in high-growth emerging markets across LATAM, Central Asia, South Asia, Southeast Asia, or Africa.
Experience taking a loyalty or membership proposition from initial launch to multi-market scale.
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 116 500 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: Limassol, Cyprus
Workplace: hybrid
You will lead analytics for the
Services
cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas:
Watchdocs
(driver document verification and work with the compliance base),
Trust & Safety
(everything related to trust and safety in rides — incidents and safety features),
Customer Support
(both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance),
Customer Experience
(Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and
Antifraud
(protecting rides, transactions, ratings, and more from abuse across inDrive).
You will build and manage a team that partners closely with
product, operations, support, and compliance
to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction.
In this role, you will act as a
strategic partner
to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform.
Key Responsibilities
Own the
analytics strategy and roadmap
for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership
Build, grow, and develop a
team of 11+
(analysts) — hiring, mentoring, and setting quality standards across the cluster
Lead
Antifraud analytics
: detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives
Drive
Trust & Safety analytics
: measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers
Oversee
Customer Support analytics
: assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance
Lead
CX analytics
: connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions
Guide
Watchdocs analytics
: the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience
Define and
standardize metrics, definitions, and monitoring
across the cluster; ensure data quality in partnership with DWH, DS, and Engineering
Establish best practices in
experimentation (A/B testing), causal inference, forecasting, and effect measurement
across the team
Partner cross-functionally at the
company level
(Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders
Skills, Knowledge and Expertise
6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses
2+ years of people management, leading teams of 10+ people, including other managers or team leads
Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference)
Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience
Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level
Proficiency in BI tools (Tableau, Looker, Redash, or similar)
Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences
English proficiency at B2 or higher for international collaboration
Nice to Have
Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance
Experience with fraud / risk modeling, anomaly detection, or safety analytics
Familiarity with text / sentiment analysis for customer-feedback data
Experience scaling analytics across multiple countries and verticals
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 EUR 90 700 gross
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: hybrid
You will lead analytics for the
Services
cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas:
Watchdocs
(driver document verification and work with the compliance base),
Trust & Safety
(everything related to trust and safety in rides — incidents and safety features),
Customer Support
(both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance),
Customer Experience
(Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and
Antifraud
(protecting rides, transactions, ratings, and more from abuse across inDrive).
You will build and manage a team that partners closely with
product, operations, support, and compliance
to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction.
In this role, you will act as a
strategic partner
to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform.
Key Responsibilities
Own the
analytics strategy and roadmap
for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership
Build, grow, and develop a
team of 11+
(analysts) — hiring, mentoring, and setting quality standards across the cluster
Lead
Antifraud analytics
: detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives
Drive
Trust & Safety analytics
: measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers
Oversee
Customer Support analytics
: assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance
Lead
CX analytics
: connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions
Guide
Watchdocs analytics
: the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience
Define and
standardize metrics, definitions, and monitoring
across the cluster; ensure data quality in partnership with DWH, DS, and Engineering
Establish best practices in
experimentation (A/B testing), causal inference, forecasting, and effect measurement
across the team
Partner cross-functionally at the
company level
(Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders
Skills, Knowledge and Expertise
6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses
2+ years of people management, leading teams of 10+ people, including other managers or team leads
Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference)
Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience
Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level
Proficiency in BI tools (Tableau, Looker, Redash, or similar)
Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences
English proficiency at B2 or higher for international collaboration
Nice to Have
Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance
Experience with fraud / risk modeling, anomaly detection, or safety analytics
Familiarity with text / sentiment analysis for customer-feedback data
Experience scaling analytics across multiple countries and verticals
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
As
Senior Product Manager – Identity & Growth
, you will lead the end-to-end vision, strategy, and execution for our registration and authorization funnels—balancing seamless conversion against fraud prevention, security, and strict global compliance (GDPR, data privacy, and localization).
Partnering cross-functionally with Design, Engineering, Security, and executive stakeholders, you will align complex product roadmaps and own the domain’s unit economics, optimizing critical operational costs like SMS/OTP without compromising verification rates.
Combining deep analytical expertise in session stitching and high-frequency A/B testing with a risk-based onboarding approach, you will champion high-converting, compliant, and cost-effective identity experiences that fuel sustainable growth.
Key Responsibilities
Boost sign-up and login conversion rates by designing smart onboarding flows that keep user friction low while keeping fraud and security risks under control.
Partner with design and research teams to create simple, accessible, and intuitive user experiences that prevent drop-offs.
Bring business, engineering, and security teams together to build, align, and execute complex product roadmaps.
Take ownership of domain costs—building financial models and finding ways to cut expensive communication costs (like SMS/OTP) while keeping completion rates high.
Stay ahead of technical debt, project risks, and data privacy laws (like GDPR and local localization rules) by designing compliant flows that don't hurt conversion.
Use advanced analytics including session stitching and high-frequency A/B testing—to deeply understand user behavior across platforms and continually optimize performance.
Skills, Knowledge and Expertise
3+ years in Product Management within high-volume Marketplaces, Ride-hailing, FinTech or E-commerce.
Ability to critically evaluate design layouts from a conversion perspective.
Knowledge of how authentication works, including various delivery/communication channels (SMS, WhatsApp, Push, Passkeys) and their cost/conversion trade-offs.
Base-level understanding of microservices architecture and how backend services interact with each other.
Proven experience managing a continuous pipeline of concurrent experiments and conducting independent, rigorous post-analysis. You must be able to evaluate tests beyond primary conversion steps, measuring downstream impact (conversion to first ride, GMV), long-term retention, and critical guardrail metrics (fraud rates, cost per verification).
Proven ability to manage complex dependencies, align 5+ departments, handle risk evaluation.
Professional working proficiency in English (B2/C1+).
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: Cairo, Egypt
Workplace: hybrid
We are looking for a Senior Data Engineer to join one of the Data Platform teams that works with the Marketing, Growth, partner, and financial data domains.
You will be working with cutting edge cloud technologies (GCP, AWS, BigQuery, Databricks, K8s) and building a large scale data infrastructure for analytics, machine learning, and streaming/CDC data delivery.
Key Responsibilities
Build and operate batch and streaming ingestion into a layered BigQuery DWH (raw → ODS → data marts) using Airflow, Debezium CDC over Kafka with protobuf, Pub/Sub, and Dataflow
Integrate external data sources end-to-end — marketing platforms (GA4, AppsFlyer, TikTok/Meta/Google Ads), payment providers, S3 buckets, and third-party APIs — including schema contracts, backfills, and reconciliation
Engineer the data platform itself in Python: custom Airflow operators and connectors in a shared ETL framework, Kafka Connect on Strimzi (K8s), Cloud Functions, and API integrations with external providers
Build CI/CD and change-management tooling for BigQuery: GitHub-based test-and-approval flows, SQL migration engines (Liquibase/Flyway/Bytebase), sandbox validation, backup and rollback
Own reliability and correctness of pipelines: idempotency, deduplication, late-data handling, backfill and replay, freshness monitoring and alerting; write integration and unit tests
Drive data governance and compliance: ITGC-compliant change management for BigQuery, IAM and least-privilege access, PII policy tags and DLP, Unity Catalog on Databricks, column-level lineage (OpenMetadata/Dataplex), and disaster-recovery planning
Build internal data tools and platform services for agentic workflows with data — Streamlit apps, Slack bots, LLM-based agents and MCP servers that help teams find and use data
Support analysts and business teams with data requests, fostering data-driven decision-making across the company
Contribute to system design and architecture with the development team
Skills, Knowledge and Expertise
Strong practical Python: clean, well-structured, and tested code for services, tooling, and data pipelines
Solid software design skills (OOP, modularity, design patterns) — we build platform tools for agentic workflows with data and plan to develop data-related backend services, so well-designed code is highly valued
Experience building and operating services in a cloud environment (GCP, AWS or similar): CI/CD, containerization, monitoring and alerting
Familiarity with Kubernetes and Terraform — our infrastructure runs on GCP/K8s
Hands-on experience with DWH-related tasks (BigQuery or another cloud warehouse) and confident working SQL
Clear communication with non-engineering stakeholders — a meaningful share of the work is data requests from analysts and business teams
Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team
Nice to have
Advanced SQL: complex queries, window functions, partitioning, clustering, and cost optimization
Experience building reliable pipelines around CDC (e.g., Debezium): idempotency, schema evolution, backfills, and reconciliation
Analytical data modeling skills: table grain, facts vs dimensions, slowly changing dimensions, and metric definitions
Experience with stream processing frameworks such as Flink or Apache Beam/Dataflow
Exposure to data governance and audit compliance (ITGC/SOX), Databricks Unity Catalog, or lineage/catalog tooling (OpenMetadata, Dataplex)
Interest in building LLM-based agents and AI tooling for data
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: Abu Dhabi, United Arab Emirates
Workplace: onsite
We are looking for Solution Architect to drive the evolution of our ride-hailing and super-app platform. In this role, you will work closely with engineering teams and the domains directors to define architecture strategy, ensure scalable and resilient solutions, and guide key technical decisions while supporting rapid product growth.
Key Responsibilities
Participate in system design and architectural decisionmaking in collaboration with development teams, ensuring a balance between speed, quality, and resilience
Collaborate with the architecture team to develop a long-term roadmap for the evolution of the platform architecture and technological solutions, enabling scalability and sustainable business growth
Conduct audits of key services, identify technical debt, and propose a modernization strategy to support high load and rapid product launches
Drive the development of architecture and related processes
Define the architectural vision and technical strategy in collaboration with the CTO and other architects
Skills, Knowledge and Expertise
Experience designing and implementing architectures for highload distributed systems (we handle 230K RPS across 7 regions).
Strong understanding of both serverside and clientside architecture and their constraints.
Excellent knowledge of modern technologies, particularly AWS: AWS Certified Solutions Architect Associate certification is required.
AWS Certified Solutions Architect Professional certification is preferred.
Strong leadership skills: able to shape technical vision and effectively communicate complex architectural decisions to both engineers and nontechnical stakeholders.
Ability to coordinate architectural collaboration across multiple teams and ensure consistent approaches at the platform level.
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 are looking for a hands-on
Risks Ops
to own and evolve our core
Decision-Making System (DMS)
and credit processing engine. In this role, you will bridge the gap between risk management, and core engineering, leading a focused team of developers to design, build, and optimize high-throughput, low-latency decisioning engines.
You will play a pivotal role in streamlining time-to-market for credit strategy changes, integrating advanced ML scoring models, and replacing legacy software with modern, scalable, in-house microservices architecture.
Key Responsibilities
Technical Leadership & Ownership:
Take full ownership of the end-to-end Decision-Making System (DMS) lifecycle, including system architecture, deployment pipelines, production monitoring, continuous code cleanup, and performance optimization.
Cross-Functional Collaboration:
Partner closely with Risk Analysts and Data Scientists to translate complex business logic, risk rules, and ML scoring models (application, behavioral, fraud) into production-ready software.
Team Leadership & Delivery:
Implement core logic of DMS system to suit the needs of InDrive's lending vertical. Code reviews, release management, and performance evaluations while fostering an efficient, agile environment.
Process Optimization:
Reduce time-to-market for credit strategy updates by modernizing delivery workflows, introducing automated regression/retrospective testing, and eliminating dependencies on legacy release cycles.
Architecture & System Integration:
Drive the evolution of our high-volume microservices ecosystem (Golang, AWS). Integrate internal and external services (credit bureaus, collection platforms, fraud detection services) via REST APIs and event-driven pipelines.
Skills, Knowledge and Expertise
Fintech & Credit Decisioning Expertise:
7+ years of total backend engineering experience, with deep domain expertise in financial technology, credit conveyors, loan processing, debt collection systems, or automated decisioning engines.
Risk-Ops experience:
be familiar with any popular decision-engine (gorules, n8n, camunda, SAS RTDM, FICO Blaze Advisor etc…)
Stack:
Strong expertise in Golang / Python, and build tools (Gitlab CI), AWS-related experience will be a huge plus.
Data Management:
Proficiency with relational and non-relational databases (MySQL, AuroraDB, DynamoDB, GBQ).
DevOps, CI/CD & Observability:
Hands-on experience with modern CI/CD tools (GitLab CI, GitHub Actions), containerization (Docker), and system monitoring tools (Prometheus, Grafana).
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 75 600 EUR gross.
Final benefits may vary depending on the location.
Location: Brazil, Colombia
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
The world's largest human resources consulting firm, headquartered in New York City, with main branches in 40+ countries. Over 25,000 employees operate internationally in more than 130 countries. Its services are used by 97% of Fortune 500 companies
What You’ll Do
Collaborate directly with business stakeholders and domain experts to understand their objectives, processes, constraints, and expected outcomes.
Analyze business requirements, documentation, examples, templates, and other reference materials provided by stakeholders.
Identify workflows and use cases that can be implemented or improved through Claude Code Skills.
Design, implement, test, and maintain reusable Claude Code Skills.
Create clear skill instructions, supporting scripts, reference materials, validation logic, and reusable workflow components.
Translate complex or ambiguous business processes into structured, executable instructions for AI agents.
Evaluate skill behavior using realistic scenarios, test cases, and acceptance criteria
Improve the reliability, accuracy, usability, and maintainability of developed skills through iterative testing and stakeholder feedback.
Technical leadership over the other engineers: review, direction, unblocking.
What You Bring
Strong hands-on experience using Claude Code in real software-development or business-workflow scenarios.
Practical experience creating Claude Code Skills or comparable reusable capabilities for -AI coding agents.
Strong understanding of modern AI engineering patterns, including agentic workflows, tool use, prompt engineering, context engineering, and structured instruction design.
Proven hands-on software engineering experience and the ability to build, review, test, and maintain production-quality solutions.
Ability to transform business requirements and domain knowledge into clear technical designs and executable workflows.
Experience evaluating and improving non-deterministic AI solutions.
Ability to own the technical shape of the whole capability, not individual skills: standards, shared components, evaluation and release strategy, backwards compatibility.
Ability to define and enforce what a well-formed skill looks like, what belongs in shared infrastructure, and what gets rejected in review.
Ability to make and justify platform‑level decisions - including choices around agent harnesses, integration architecture, and build‑versus‑adopt strategies, while providing clear technical rationale for foundational decisions that impact the entire platform
Nice to have
Hands-on experience with Claude Code, and specifically with authoring Claude Code Skills, plugins, or MCP servers.
Evaluation tooling for LLM systems (promptfoo, LangSmith, custom harnesses).
Consulting or professional services background.
Domain exposure to HR technology, compensation & benefits, payroll, or workforce analytics.
Experience building internal developer tooling or standing up a platform capability.
Public artefacts: open-source agent tooling, published skills or plugins, conference talks, technical writing on agentic engineering.
English level
Upper-Intermediate
Legal & Hiring Information
Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Compensation details are shared with candidates at the early stage of the recruitment process.
The offer is not binding until a signed contract is in place.
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
International projects
In-office, hybrid, or remote flexibility
Medical healthcare
Recognition program
Ongoing learning & reimbursement
Well-being program
Team events & local benefits
Sports compensation
Referral bonuses
Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
Location: London, England
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the Team
Our Infrastructure teams build the foundation that engineers at Wolt, Deliveroo, and DoorDash build on: the compute, cloud, and networking capabilities that enable Engineering teams to develop, deploy, and run services at global scale. The EU Compute team has a specific focus on provisioning, scaling, and the efficient operation of GPU infrastructure for AI and ML workloads. This is an emerging space with plenty of greenfield opportunities.
We're looking for a Staff Engineer to be a hands-on technical leader for this infrastructure work that crosses team and brand boundaries. You'll set direction for the platform, turn complex problems into deliverable plans, write and review production code, and help other engineers make sound decisions. It's an exciting time to join: we're building a global platform and the choices made now will shape how engineers across the company ship for years.
What you’ll be doing
You'll own some of the hardest infrastructure problems in the company and make the platform easier to operate and safer to build on. We’re determined to build great platform products and user experiences, and you’ll be pivotal in making this reality.
Day-to-day in this role you’ll:
Set technical direction for shared AWS and Kubernetes infrastructure, balancing reliability, security, developer experience, and cost.
Lead substantial initiatives from design through rollout and operation, coordinating dependencies and decisions across Wolt, Deliveroo and DoorDash, focusing on workloads targeting GPUs.
Evolve Kubernetes clusters, cloud networking, identity, and infrastructure provisioning to support growing and varied workloads.
Build reusable Terraform patterns and self-service tooling that help teams provision infrastructure safely and consistently.
Improve deployment and operational practices, including GitOps, observability, capacity planning, incident response and recovery.
Use production signals and developer feedback to find platform friction, choose where to invest and measure whether changes actually help.
Assist with supporting the platform, with deep focus on GPU infrastructure, as well as broad focus on compute in general.
Gracefully sunset legacy infrastructure and tooling, and create strategies to reduce toil.
Mentor engineers through design reviews, implementation and incidents, raising the quality of infrastructure work across teams.
Our humble expectations
Deep experience building and operating Kubernetes and AWS infrastructure in production. Familiarity with GPU workloads and orchestration is a plus.
Strong software engineering skills: you use Go, Python or a similar language to build maintainable tools and automation.
Experience with infrastructure as code (we use Terraform) and with designing systems that other engineering teams depend on.
A track record of leading complex technical work across teams, including architectural decisions, delivery, and operational follow-through. You have the breadth to collaborate and design across team and domain boundaries, and the depth to have hands-on impact.
Strong judgment on trade-offs in distributed systems, networking, security, reliability, and cloud cost.
Clear communication, and the ability to bring people together around a practical technical direction.
What we offer
Scope and influence.
Shape infrastructure used globally, while staying close to the engineering. Your work will help product teams ship services with greater ease and confidence.
Real problems at global scale.
Multi-cluster Kubernetes, AI / ML workloads, cloud networking, GitOps, and progressive delivery across a global company.
Autonomy and ownership.
Set direction and see it through from design to operation, with the backing of a global engineering organisation spanning Europe and the US.
Growth.
Room to expand your scope, whether through deeper technical leadership or broader cross-domain influence.
Great people.
Work with talented engineers and leaders in a diverse, international environment, mentoring and learning from others.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
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ГибридAlmaty, Kazakhstan
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