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Location: Tbilisi, Georgia Workplace: hybrid Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Designed search evaluation pipeline before (Datasets preparation, query/index tuning, search system scores) Worked with and customised Learned-To-Rank plugin on OpenSearch to improve ranking 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 The Grocery Team is responsible for building and evolving the customer experience for grocery delivery — from discovering stores and products to browsing the catalog, managing the cart, and completing checkout. We’re looking for a QA Engineer to join our team Key Responsibilities Test the full grocery customer journey, including store selection, catalog, search, product details, cart, checkout, payment, and order creation. Validate prices, discounts, inventory, product availability, and store-specific assortment across different locations and partners. Test grocery-specific scenarios such as weighted products, substitutions, unavailable items, quantity limits, and minimum order values. Test integrations between the storefront and catalog, pricing, inventory, order, payment, and delivery services, as well as external grocery partners. Validate fallback and degradation scenarios when a partner or internal service is unavailable. Ensure consistent behavior across mobile applications, WebView, and backend APIs. Develop and maintain automated tests and contribute to API, integration, and end-to-end test coverage. Participate in requirements reviews, test strategy, release validation, and investigation of production issues, taking ownership of quality throughout the product lifecycle. Skills, Knowledge and Expertise Experience with grocery/e-commerce products Experience testing dynamic pricing, inventory, discounts, product availability, quantity limits, and minimum order value. Good understanding of grocery-specific scenarios, such as weighted products, substitutions, unavailable items, and partial orders. Experience testing integrations with catalog, pricing, inventory, order, payment, and delivery services, including third-party partner APIs. Experience with REST and/or gRPC APIs and automated API testing; familiarity with tools such as Postman. Experience creating and maintaining automated tests using frameworks such as Playwright, Cypress, Appium, or similar. Ability to validate consistency across mobile applications, WebView, backend APIs, and distributed services, and troubleshoot partial failures and partner/service outages. Nice to have: contract testing, external partner integrations, performance/load/resilience testing, feature flags, A/B testing, and product metrics such as conversion, add-to-cart rate, checkout completion, error rate, and latency. 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: Almaty, Kazakhstan Workplace: hybrid Intercity covers intercity rides and parcel delivery in 35+ countries across LATAM, MENA, Central and South Asia, and Southeast Asia. Key Responsibilities Develop features for passenger and driver client apps. Work with geolocation, maps, and real-time order statuses. Run A/B experiments, manage feature flags, and implement analytics events. Do code reviews, write tests, and co-design solutions with backend and iOS engineers. Build with AI tools (Claude Code, Copilot) as part of an AI-First approach. Skills, Knowledge and Expertise 3+ years of commercial Android development with Kotlin. Good knowledge of Coroutines, Flow, MVVM/MVI and DI (Dagger/Hilt). Experience with Jetpack Compose. Experience working with multi-module projects and Gradle. Understanding of networking, caching and working with unstable connections. Experience with unit testing. English level: B1+. Nice to have: Experience with maps and geo services, such as Google Maps or 2GIS. Experience with Play Integrity, fake GPS protection or other anti-fraud solutions. Experience with Spec-First or AI-assisted development. 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 The QA Load team is responsible for the performance and scalability of services across their entire lifecycle — from Go/No-Go decisions before launch to working with real production traffic. We design and execute load tests, model real-world usage scenarios, identify and eliminate bottlenecks in backend systems, databases, messaging, and infrastructure, and work closely with SRE, DevOps, and product engineering teams. The role focuses on systematic performance improvement: building load-testing infrastructure, automation and CI/CD quality gates, performance analysis and experimentation, and translating technical metrics (latency, RPS, p95/p99) into clear business impact. Our goal is to make performance a core aspect of product quality and ensure the stable operation of high-load, geo-distributed systems. Key Responsibilities Performance Audits & Integration Support: Go/No-Go decisions with our stakeholder about launches services before integrating them into our ecosystem and integrations support (audit APIs, web, databases, caches, message brokers) Design&Execute Load Tests global strategy: Modeling of load testing scenarios (load, stress, soak, peak, find max tests), methodology and formation of non-functional requirements for system using k6, JMeter (DSL framework) Simulate real-world scenarios and traffic patterns to validate systems under production-like conditions (including high RPS, concurrency levels, data skew, and geo-distributed load) Load Modeling: Calculate and validate detailed load models – e.g. expected RPS, concurrent users, transaction volumes, and data distribution. Adjust these models to mirror peak and edge-case scenarios, ensuring our capacity planning is grounded in reality. Bottleneck Analysis & Fixes: Find, analyze, and fix performance bottlenecks. This includes: backend issues (CPU hotspots, memory leaks, GC pauses, thread pool exhaustion) DB inefficiencies (Aurora MySQL/RDS indexing, query locks, IOPS limits) messaging/queue back-pressure (Kafka partitioning, consumer lag, throughput limits) network constraints (latency, load balancer settings, timeouts) Work hands-on with SRE, DevOps, and Backend teams to implement optimizations and verify the improvements. Prepare for Production Traffic: Ensure services are production-ready. Drive capacity planning exercises and stress tests to determine scaling lag/limits and failure modes. Verify that services can gracefully handle traffic spikes or component failures without violating SLAs or SLOs. Help partners configure autoscaling policies for sustained performance Loadtesting Infrastructure Setup&Tuning: Set up, audit, and operate performance testing infrastructure for our services load testing automation and geo-distributed load generator to simulate production traffic Performance Analysis & Experimentation: Approach performance issues with an performance analyst/architect mindset – form hypotheses, design experiments, run tests, and draw conclusions to configuration infrastructure and fix backend code. For example, if latency is high, hypothesize the cause (e.g. database index missing), test the hypothesis, and then make a the fix. Repeat this iterative process to methodically improve system performance. Business Impact Translation: Translate technical performance insights into business risks and opportunities. For instance, demonstrate how reducing latency or improving p95 response time can increase conversion rates or GMV. Communicate these insights to both engineers and non-technical stakeholders to underline the business value of performance work. Observability & Monitoring: Utilize observability tools to monitor performance during tests. Set up dashboards and alerts in Grafana/Prometheus and other systems (e.g. New Relic, Dynatrace, Zabbix, ELK Stack, Coroot), analyze traces and logs. Use few methods to interpret results and guide troubleshooting. Performance Tooling: Build internal performance tooling in Golang: Design and maintain internal tools for automation performance testing and analysis Load as a Service for product teams: traffic generators, load managers, mocks, test stubs, data feeders, and helper services used across partner integrations. Building load test scenarios to Jmeter (DSL framework) and k6 in JavaScript. Innovate on tooling to make load tests easier to create, run, and analyze for the whole team. CI/CD Integration: Integrate performance tests into our CI/CD pipeline as QG. Automate load tests run to every new integration or code change is evaluated for performance regressions. Ensure that build pipelines can catch and flag performance drops (e.g. increased response times, higher resource usage) before changes reach production. Reporting&Communication: Prepare executive-ready performance reports for engineering teams and C-level stakeholders. Highlight key metrics (p95/p99 latency, throughput, error rates, saturation signals) and identify primary scalability bottlenecks across services, databases, caches, and messaging systems, and compare results against SLOs and capacity targets. Provide clear root-cause explanations and actionable recommendations, including performance vs cost trade-offs, to support production readiness and Go/No Go decisions. Performance Culture: Champion a culture where performance = product quality. Educate and influence teams to treat performance testing as an integral, continuous part of the development lifecycle rather than a one-time task. Share best practices and success stories, ensuring that performance considerations are baked into design, coding, and testing processes from the start. Conducting production load and traffic validation experiments with full ownership of risk assessment, blast radius control, observability, and rollback procedures. Work with geo-distributed, high-load systems (200k+ RPS) and latency-sensitive mobile flows Set up production-like performance environments in AWS Conducting and modeling load tests in production Performance analytics → hypotheses → experiments → fixes → measurable business impact (latency, conversion, GMV) Skills, Knowledge and Expertise 5+ years in Performance/SRE/Load Testing Strong programming skills in Golang/Kotlin/Java Strong k6 or JMeter DSL - Performance Testing Mastery: Hands-on expertise with modern load testing tools, especially k6 and/or JMeter (and their scripting DSL). Deep understanding of performance best practice – you know when to apply load testing vs stress testing vs soak testing, and how to interpret the results of each. Hands-on experience with AWS infrastructure on for high-load systems: EKS, EC2, Auto Scaling Groups, ALB/NLB, VPC, subnets, routing, security groups Designing and tuning autoscaling strategies for compute (KEDA/Karpenter/Cluster Autoscaler, EC2 scaling policies) Understanding network performance characteristics: latency, cross-AZ traffic, NAT/egress limits, load balancer behavior under high RPS Profiling Golang, Kafka, Redis, DB tuning experience Automation loadtesting and make QG (JVM languages and Go) SRE mindset (RED/USE, SLO, error budgets) 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: Annapolis Junction, MD, United States Job Title Senior‑Level User Experience Designer (JavaScript) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Senior‑Level User Experience (UX) Designer to support the Analysis and Mitigation mission through UX design and front‑end development for Agentic Knowledge Management Systems. The designer will conduct user research, develop front‑end solutions, and maintain UX documentation to support integration with backend systems and mission workflows. Key Duties • Write and maintain front‑end code to implement UX designs • Design and conduct user interviews, surveys, and usability tests to identify trends, insights, and opportunities for improvement • Develop front‑end components using modern web technologies • Collaborate with backend developers to integrate front‑end code with existing backend services • Ensure front‑end implementations meet performance, accessibility, and cross‑browser compatibility requirements • Develop and maintain UX documentation including design guidelines, style guides, technical plans, milestones, and user guides Requirements • Bachelor’s degree with eight (8) years of relevant experience, or Master’s degree with six (6) years, or Doctoral degree with four (4) years • Alternatively, Associate’s degree with ten (10) years of relevant experience, or high school diploma/GED with twelve (12) years of relevant experience • Experience working in Agile development environments • Experience with HTML, CSS, JavaScript • Experience with modern front‑end frameworks including React and Vue.js • Active TS/SCI with Polygraph Compensation • Salary range: $145,000 – $165,000 • Benefits

🧩 Требования: глубокие знания SQL и умение работать с планами запросов, опыт эксплуатации ClickHouse, Kafka и Kubernetes, владение Java, практический опыт создания DWH и Data Lake, опыт построения и развития высоконагруженных систем;

Location: Montreal DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Team: As AI tools drive immense value across the firm, our organization faces a "Dual Mandate": providing low-friction access to the best frontier AI tools while strictly managing an exponentially growing cost curve. The unified AI Platform Team builds the centralized software, operations, and governance layers that safely route users to the most cost-effective models. The Role: We are looking for a Platform Engineer to help build and operationalize our AI tooling ecosystem. Working closely with the Team Lead and Senior/Staff SWE, you will be the hands-on integrator connecting external cloud AI providers, internal models, and end-user tools into our unified control plane. Key Responsibilities: Configure and manage multi-engine API gateways, implementing dynamic routing rules, rate limits, and fallback logic for LLM requests. Execute the technical migration and integration of firm-wide tools into our centralized management plane to ensure all AI traffic is securely logged and governed. Operate within our Shared Responsibility Model alongside the Cloud team to manage AI services deployed in enterprise landing zones (e.g., managing Azure OpenAI instances, model deployments, and API key generation). Write robust Go and Python code to support the continuous sync loop for our usage dashboard and implement automated "progressive friction" mechanisms, such as alerts. Partner with the Inference Infrastructure pod to ensure our self-hosted, on-premise models are successfully registered and routable within our AI gateways. Required Qualifications: Strong backend programming experience, specifically in Go and/or Python. Hands-on experience with API design, integration, and platform/cloud engineering concepts. Familiarity with API gateways, proxy configuration, or distributed system networking. A strong interest in the rapidly evolving LLM ecosystem and the technical mechanics of AI tooling. A collaborative mindset with a focus on writing clean, maintainable code to replace prototype systems. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-VD1

Location: Chisinau, Moldova We are seeking a Mid-Level Mobile QA Engineer to ensure the quality, reliability, and usability of iOS and Android mobile applications, including FinTech functionalities, through manual testing and an increasing focus on test automation. The role involves planning and executing functional, regression, integration, usability, compatibility, and exploratory testing across mobile devices, operating-system versions, backend services, and third-party integrations. The QA Engineer will also design, develop, and maintain automated tests that provide stable and meaningful coverage of critical user journeys. The Mobile QA Engineer will analyze business and technical requirements, identify risks and acceptance criteria, prepare test scenarios and test data, and communicate defects clearly to developers, business analysts, product owners, and other stakeholders. The role includes planning and tracking quality activities in Jira within an Agile delivery framework. Additionally, the QA Engineer is expected to contribute to release readiness, continuous quality improvement, and shift-left testing practices. The candidate demonstrates solid mobile testing experience, an automation-oriented mindset, attention to detail, and the ability to investigate issues across the mobile application, APIs, backend services, and device environment. Basic Requirements • Ability to understand mobile application architecture, user journeys, business rules, and integrations with backend services. • Capability to plan and execute manual testing independently and to develop or maintain automated tests with limited guidance. • Strong discipline in test design, defect reporting, test evidence, traceability, and quality documentation. • Ability to reproduce, isolate, and investigate defects using logs, API responses, device information, and test data. • Willingness to maintain reusable test cases, automation code, test data, and release-quality documentation. • Familiarity with Agile methodologies (Scrum/Kanban) and cross-functional teamwork. • Understanding of mobile usability, accessibility, performance, network conditions, and device/OS fragmentation. Key Responsibilities Mobile QA Testing Responsibilities • Review requirements, user stories, designs, and acceptance criteria to identify ambiguities, risks, dependencies, and test conditions early in the delivery lifecycle. • Design, maintain, and execute test plans, checklists, test cases, exploratory charters, and regression suites for iOS and Android applications. • Perform functional, integration, end-to-end, regression, smoke, sanity, usability, compatibility, and localization testing. • Validate mobile application behavior across supported devices, screen sizes, operating-system versions, orientations, permissions, and installation or upgrade paths. • Test application behavior under variable network conditions, interrupted sessions, background/foreground transitions, notifications, deep links, and offline or low-connectivity scenarios. • Validate REST APIs, backend integrations, authentication flows, and data consistency using tools such as Postman, Swagger/OpenAPI, or comparable solutions. • Design, develop, execute, and maintain reliable automated tests for critical mobile user journeys using Appium or comparable mobile automation frameworks. • Improve automation coverage, test stability, execution time, reporting, and maintainability while investigating flaky tests and failed runs. • Prepare and manage test data and test environments, including mocks or stubs where appropriate. • Log defects with clear reproduction steps, expected and actual results, severity, evidence, environment details, and relevant diagnostic information. • Perform defect verification, regression impact analysis, root-cause collaboration, and quality sign-off recommendations for releases. • Collaborate closely with mobile developers, backend engineers, business analysts, UX/UI designers, DevOps engineers, product owners, and business stakeholders. Quality, Security & Release Responsibilities • Apply risk-based testing and contribute to quality criteria, test strategy, release gates, and Definition of Done. • Validate secure authentication, authorization, session handling, permissions, sensitive-data exposure, and other relevant mobile security controls. • Integrate automated tests into CI/CD pipelines and review execution results to provide timely feedback on build quality. • Support release validation for development, test, staging, and production environments, including app-store candidate builds when required. • Monitor production quality indicators, logs, crash reports, analytics, and customer-reported issues to identify regression risks and improvement opportunities. • Track and communicate testing progress, coverage, defect trends, residual risks, and release-readiness recommendations. Required Skills & Qualifications • 3+ years of hands-on software testing experience, including practical testing of native or cross-platform iOS and Android applications. • Strong knowledge of software testing principles, test design techniques, defect lifecycle, and risk-based testing. • Demonstrated experience in manual functional, regression, integration, exploratory, and compatibility testing. • Practical experience developing or maintaining mobile UI automation using Appium or a comparable framework. • Working knowledge of at least one programming or scripting language used for test automation, such as Java, C#, JavaScript/TypeScript, Python, or Kotlin. • Experience testing REST APIs and analyzing JSON data, HTTP requests, responses, status codes, and authentication mechanisms. • Experience with Git-based version control and familiarity with CI/CD workflows. • Experience using Jira or a comparable work-management and defect-tracking system. • Strong analytical, troubleshooting, and problem-solving skills, with consistent attention to detail. • Good communication skills and the ability to collaborate across technical and non-technical teams. Preferred Qualifications • Experience with native automation frameworks such as XCTest/XCUITest or Espresso/UI Automator. • Familiarity with cross-platform technologies such as Flutter, React Native, or .NET MAUI. • Experience with device farms and cloud testing platforms such as BrowserStack, Sauce Labs, Firebase Test Lab, or comparable services. • Exposure to performance, accessibility, security, or resilience testing for mobile applications. • Familiarity with log analysis, crash-reporting, monitoring, and analytics tools such as Firebase Crashlytics or comparable solutions. • Experience validating push notifications, deep links, biometrics, payments, or other mobile-specific integrations. • Familiarity with ISTQB practices or relevant testing certifications is considered an advantage. Additional Information • Work environment: Agile, collaborative, cross-functional, with a strong focus on customer experience, product quality, reliability, and continuous improvement. • Location: Office-based or hybrid, depending on project and team needs. • Team structure: Cross-functional mobile product team with direct collaboration across engineering, product, design, business analysis, and operations. Summary This role contributes directly to delivering reliable, secure, and user-friendly mobile applications that support the company’s digital customer journeys. The Middle Mobile QA Engineer will combine disciplined manual testing with sustainable automation, provide clear visibility into product quality and release risk, and help embed quality throughout the mobile development lifecycle.

Location: Distributed About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Location: Preferred Locations: San Francisco, Austin, NYC OR Remote About the Role Cloudflare’s GTM organization is scaling rapidly, and its RevOps tech stack must scale with it. We are hiring a RevOps Technologist to shape future-state workflows and move our RevOps technology roadmap from strategy and prototype toward secure, scalable execution. This senior individual contributor will combine deep Sales and Revenue Operations expertise with the hands-on technical fluency to identify strategic solutions and simplified workflows. You'll report directly to the Director of RevTech Strategy & Operations, and be the senior counterpart to our business partners, IT, Procurement, Engineering, Security & Privacy, to ensure our systems are optimized, and governed. You will transform our rapidly scaling, today’s fragmented tech stack into a secure, orchestrated engine, across vendor platforms, internal tooling, and Cloudflare’s internal orchestration platform (Cloudflare OS). You will set the direction for Build/Buy/Blend opportunities, prototype AI- and automation-enabled capabilities, and partner with IT and Engineering to move validated solutions toward production. You will bring an end-to-end view across workflows, systems, data and integrations, to reduce complexity and elevate the seller experience while balancing technical feasibility with business value. We are looking for someone who doesn't just manage the existing RevOps stack, but actively reimagines a scalable, best-in-class stack with a stellar seller experience. If you thrive on challenging the status quo, hands-on building with cutting-edge technology, and turning bold GTM ideas into high-impact reality, we want to talk to you. What You’ll Do: Shape the Future of RevTech & GTM Systems Drive the AI-first RevOps technology roadmap across internal systems, Cloudflare OS, vendor platforms, and new build opportunities, to improve seller efficiency and effectiveness. Identify where the stack needs to scale, simplify, or modernize based on jobs-to-be-done, user needs, and workflow friction points. Connect technology decisions across the broader GTM ecosystem (workflows, systems, data, integrations, and dependencies) rather than optimizing individual tools in isolation. Apply AI, agents, automation, and emerging technologies to practical opportunities that reduce friction, and modernize GTM operations. Document current state-workflows, systems, dependencies and pain points to identify exactly where the stack needs to scale or simplify, and translate findings into clear future-state designs and recommendations. Design, Prototype & Automate Translate sales capabilities “jobs-to-be-done", workflow context, and user needs into clear technology requirements and solution approaches balancing user experience, scalability, and technical feasibility. Architect solutions across the RevTech landscape that work cohesively with existing CRM, sales engagement, forecasting, data, and other seller technologies. Leverage Cloudflare OS, AI, agents, and automation to prototype and build secure solutions, validating where tech adds value vs. human judgement is required. Partner with IT and Engineering to move validated solutions toward production, aligning on the APIs, MCPs, integrations, and security. Drive Technology & Investment Strategy Advise on build, buy, blend, or retire decisions based on time-to-value, scalability, security, cost, and flexibility. Identify opportunities to reduce unnecessary SaaS dependency, utilizing Cloudflare OS or internal capabilities where appropriate. Bring a technical and strategic lens to technology investments, partnering with Procurement, Software Asset Management, IT, and business stakeholders to evaluate vendors and inform a ROI-backed roadmap investments. Own Governance & Systems Standards Define governance, intake models, and decision guardrails for RevTech and AI use cases. Participate in cross-functional AI initiatives to evaluate, prioritize, and scale AI-enabled seller workflows. Establish auditable RevTech change controls with clear governance based on risk and impact. Ensure vendors and internal builds comply with security, privacy, data, and AI standards. Strategic Partnership & Communications Build trusted relationships across GTM, tech teams, business partners and vendors as a trusted advisor on priorities, trade-offs, and future-state direction. Translate complex tech concepts and ROI assessments into clear, decision-ready executive recommendations and business impact analyses. Leverage external benchmarks (e.g., Gartner) and industry trends to inform tool strategy. Support the RevTech budget planning and stewardship in partnership with business partners, Finance and procurement. Skills, Knowledge & Experience 8+ years in Revenue Operations, GTM Systems, Sales Ops, Business Systems, or related roles within B2B SaaS organizations. Deep understanding of B2B seller workflows, sales processes, and the broader GTM technology ecosystem. Deep, hands-on experience across GTM technology ecosystem, including CRM, sales engagement, forecasting, revenue orchestration, enablement, data, and automation (e.g; Salesforce, Clari, Gong, Outreach, ZoomInfo, Highspot, LinkedIn Navigator, Clay etc.) Hands-on experience with AI, agents, and automation, with ability to rapidly prototype solutions, test assumptions, and solve business problems. Solid conceptual and practical understanding of how modern tools connect via APIs, data flows, and “headless” architecture (separating the custom UI a seller uses from the backend). 5+ years driving cross-functional technology initiatives, from discovery, vendor evaluation and solution design to secure implementation and adoption across the enterprise. Proven track record of evaluating technology options, identifying build/buy/blend opportunities, developing ROI-backed recommendations, and influencing senior stakeholders to drive enterprise alignment. Bachelor’s degree in business, IT, marketing, or a technical field is required (Master’s or advanced degree, or AI/data training, is a plus). Nice to Have Hands-on building with emerging AI agent frameworks, custom GPTs, or AI-driven workflow tools to enhance seller productivity. Background in consulting or solution architecture, with exposure to advisory frameworks (e.g; Gartner, Forrester). Certifications: Salesforce (Advanced Administrator, Sales Cloud, AI Associate) or any relevant AI, or business systems certifications. Familiarity with Cloudflare products, commercial negotiations, and tech marketplace dynamics. Experience standing up internal automation platforms or replacing SaaS tools with internal builds. Compensation Estimated compensation may be adjusted depending on work location and level of experience! San Francisco Bay Area (San Francisco, San Jose): Estimated Annual Salary of $145,000 - $230,000 Major Metro Hubs & Select Remote (Boston, Kirkland, NYC Metro, DC Metro, plus Remote CA, CT, MA, NJ, WA): Estimated Annual Salary of $132,000 - $182,000 Other Remote States (CO, IL, MD, MN, NV, NY, RI, VT): Estimated Annual Salary of $120,000 - $165,000 CO ONLY Application Deadline: January 24, 2027 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

• Опыт автоматизации backend от 2 лет. • Знание Java и опыт написания автотестов на Java.

Location: Remote, APAC Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We are seeking Support Engineers to provide world-class developer support for anyone experiencing issues or seeking guidance when using Supabase. The support team is globally distributed with a strong focus on minimizing time to fix, and works closely with the product engineering and growth teams. You will: - Provide initial and timely responses to all support cases for a variety of topics, from billing or pre-sales requests to optimization or implementation questions. - Triage support cases including directing users to previous answers, code examples, documentation, or escalating to specific technical or business team members. - Monitor multiple feedback channels, e.g. Github Issues & Discussions (check them here: https://github.com/supabase/supabase/issues). - Identify where internal tooling might be developed or obtained to improve support efficiency. - Reproduce issues, create test cases and improve test coverage, if you have experience with testing. You are: - Experienced in customer support, with 3+ years of experience providing developer support to technical customers. - Proficient in SQL (ideally PostgreSQL). You feel comfortable with complex SQL queries. If you have a database administration experience, it’s a plus. - Excellent communication skills and fluency in English. - Skilled in using Linux/Unix operating systems and the command line. - Experienced working with GitHub Issues and Discussions. - Bonus points if you're familiar with popular JavaScript frameworks like React, Vue, and Svelte and have some experience with Node.js. - Having a degree in Computer Science is a plus too. TIMEZONES & LOGISTICS - It’s a full-time position permanently, with four 10-hour shifts covering weekends during APAC Hours: 00:00-10:00 UTC - We are primarily looking for someone in Southeast Asia or India time zones for this shift. - This position covers Friday → Monday based on the above UTC times, so this may vary slightly for your specific timezone. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Chișinău, Chișinău Municipality, Moldova About Alvys Alvys is on a mission to revolutionize transportation logistics. Combining hands-on industry experience with a world-class technical team from Wonder, Jet, and ServiceTitan, we’re building the preferred supply chain operating system, starting with the $800B US freight industry. Alvys’ all-in-one solution is designed to help Carriers, Brokers, and Hybrid Operators book and move more freight with more automation and lower costs. About the Role As an EDI Growth Specialist at Alvys, you will own EDI integrations from kickoff through go-live. You'll work directly with our customers and their trading partners (shippers, 3PLs, VANs, and payment processors) to gather requirements, build mappings, establish connectivity, and run testing until each integration is certified and live in production. This role is critical to scaling our EDI capabilities, and it suits someone who is as comfortable chasing down a trading partner for a spec guide as they are working through an X12 file segment by segment. What you’ll do Partner and customer communication - Own communication with trading partners and Alvys customers for every integration you manage, from kickoff to go-live - Gather requirements, including spec guides, sample files, ISA/GS identifiers, connection details, and the transaction sets in scope - Follow up consistently on open items, keep projects moving, and escalate when a partner or customer stalls - Coordinate go-live timing, cutover, and sign-off with all parties Mapping - Build and maintain decoder and encoder mappings between X12 transactions (204, 990, 214, 210, 997) and the Alvys platform data model - Interpret partner spec guides and sample files, and identify where a partner's actual data differs from their documentation - Work with APIs and JSON payloads to make sure mappings are technically correct and fit our backend systems - Apply and contribute to our mapping templates and standards Connectivity - Set up and troubleshoot AS2, SFTP, and VAN connections, including identifiers, MDNs, directories, and test vs. production environments - Configure customer integration profiles in the platform Testing and go-live - Run end-to-end testing across the full transaction cycle: inbound tender, 990 response, 214 status updates, and 210 invoicing - Exchange test files with trading partners, interpret 997 rejections and partner feedback, and iterate until the integration is certified - Validate integrations against the customer's real day-to-day workflow, not just the test cases - Confirm production readiness, verify the first production transactions at go-live, and hand off to Support with complete documentation Project management and documentation - Manage several concurrent integrations, keeping ticket status, due dates, and notes accurate and current - Document mapping logic, partner-specific quirks, assumptions, and edge cases so another team member could pick up any integration you own - Contribute to continuous improvement of our onboarding process, testing standards, and internal best practices What you need - 2–4 years of hands-on EDI experience, including X12 transaction sets (204, 214, 990, 210, 997 strongly preferred) - Background in transportation and logistics, ideally with a carrier, broker, 3PL, or TMS provider - Hands-on experience with EDI connectivity (AS2 and/or SFTP); VAN familiarity is a plus - Hands-on experience with data mapping between different systems and formats - Proficiency reading and manipulating JSON, and experience working with APIs (reading documentation, understanding requests and responses) - Strong troubleshooting skills, including diagnosing problems from raw files, logs, and data - Excellent written communication with external enterprise partners, with the persistence to follow up without damaging the relationship - Proven ability to manage multiple projects at once and prioritize independently - Basic SQL is a plus

Сбор, анализ и формализация бизнес-требований. Подготовка технических заданий для frontend- и backend-разработки.

Location: Anywhere in France, Belgium, Spain HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐ THE ENGINEERING TEAM ⭐ In our engineering team, we build the infrastructure, interfaces, and applications to provide first-class service to our members, health professionals, and even ourselves! Being an engineer at Alan means joining a team of talented, committed and passionate engineers, with a lot of product interaction. We move fast, with a lot of ownership, and are proud to tackle big problems! Our process is very simple: those who make product decisions are the same ones who build them. Want to know more? Read this article https://blog.alan.com/tech-et-produit/engineering-organisation-at-alan if you want to discover how life as an Engineer at Alan and this article https://medium.com/alan/engineering-career-path-at-alan-e5de5c2e740c on our Engineering career pat 🛠️ THE STACK Python services on FastAPI, async SQLAlchemy and PydanticAI, Temporal for durable execution, PostgreSQL, MCP, Daytona sandboxes, various LLM model providers, Terraform on AWS, React with Vite. Our main backend is a Flask monolith. We deploy daily and believe in distributed ownership: you build it, you own it. 🤖 THE AGENTIC PLATFORM AREA In 2027, we expect to run more AI agents than we have employees. Agents already do real work at Alan. They answer members' health questions, resolve support requests, read medical documents, detect fraud, automate operational tasks, and write a large share of our code. But every team building an agent ends up solving the same hard problems again: how to call models safely with health data, how to give an agent tools and the right permissions, how to know whether a prompt change made it better or worse, how to debug what it did. The result: several agent frameworks and evaluation stacks, each with its own security and compliance story. The Agentic Platform area was created to fix that. Our mission: make it cheap, fast and safe for every Alaner or crew to build, run and improve agentic products and workflows. We own the environment agents run in (infrastructure, runtime, evaluation, observability, skills lifecycle), with security, privacy and compliance by design, and the generalist products on top: Hopper and the Agent Studio. Product teams and all Alaners own their agents, skills, and their outcomes. We give them the paved road. Two crews, one team: - Hopper is every Alaner's AI companion. Five months after it started, 80% of Alaners use it, 3k sessions are created each day, and about 30% of our pull requests are opened from it (watch how we built it https://www.youtube.com/watch?v=hAu7Ngfd0ys). - AI Product Platform builds the shared blocks every AI product at Alan runs on. For instance, our ops teams now build agents autonomously on our Ops AI Platform (read how https://medium.com/alan/how-we-bootstrapped-an-ai-agents-platform-for-operations-at-alan-fefd87ed6314, watch the talk https://www.youtube.com/watch?v=_pg1ij8k5Rw). 🧩 PROBLEMS YOU'LL ONLY FIND HERE Run agents at scale - 🧠 One runtime for every AI product. A shared agent framework, from a single model call to multi-agent workflows with live streaming, and one gateway to every model: routing, failover across providers, quotas and cost per use case built in. - ⏳ Agent sessions that last for hours. Durable sessions, started from the web, Slack, Linear or GitHub, that survive pod restarts and deploys, and pick up exactly where they left off. - 📦 Sandboxes at scale. An isolated environment for every agent session and every evaluation, on an infrastructure compliant with sensitive data, with negligible boot overhead. Make agents trustworthy and proactive - 🔌 One tool gateway to the whole company. An MCP gateway that connects agents to internal tools and data, external services, computer use, managing identity and credentials. - 🔐 Agents safely acting on critical data. We give each agent no more than the access it needs. Every tool call goes through identity, permissions, confirmations and audit. No sensitive data leaks. - 🧪 Evals you can replay in time. Re-run an agent or skill against production as it was at a past point in time, on real data, safely isolated. Anyone can ship knowing their change is an improvement rather than a regression. - 🔁 Agents and skills that proactively fix themselves. Every run is traced, and every human correction, failed tool call or escalation becomes a prioritized fix that Hopper can apply. Put agents in everyone's hands - 📚 Skills as a product. A registry where Alaners and teams publish, share and version their skills, so that nothing needs to be repeated twice. - ✨ AI that non-engineers can own. Alaners who ship code through Hopper, Operators or Sales who build their own agents or skills in our Studio and operate them from their day-to-day tools. - ⏰ Automations and artifacts. Agents that run on a schedule or on an event, and build the dashboards and hosted sites that become the go-to places for collaboration. ⭐ IS IT YOU WE’RE LOOKING FOR? What you'll do - Own some of the problems above end to end, from design to production, with significant influence on architecture and code quality - Work closely with the people who use what you build: Alaners, product teams, ops - Own reliability, cost and security in production - Mentor engineers, contribute to our product and engineering culture, and help build the team Experience we value - 3+ years in software engineering, with solid backend fundamentals - Platform-leaning or product-leaning: both are welcome. Depth in at least one of: distributed systems and runtimes, evaluation and data quality, security and authorization, product UX - A good sense of user and developer experience, whatever you build - You built products, platforms or infrastructure used by other people - Experience with LLM APIs, agent frameworks, evals or MCP is a strong plus; ML or MLOps experience is a plus Mindset we value - You measure success by adoption, not by what is available - You make concrete tradeoffs between speed, reliability, cost, security and user experience - You simplify complexity with clear abstractions and maintainable code - You care about whether people can understand and verify what an AI system did - You keep up with the latest AI technology and know the open-source AI ecosystem - Self-directed, pragmatic, humble, collaborative, enthusiastic about learning and teaching - Excited about AI changing who can build, investigate and automate work Above all, we look for high potential and curiosity: make sure to show us this when you apply. Everything else is a bonus. You should be fluent in English (no French required). 🌍 HOW WE WORK - Location: you must be legally eligible to work in France, Belgium, or Spain. - Remote work: we offer remote work flexibility, but we value in-person collaboration. 🙌 PERKS & BENEFITS https://alan.com/en/careers/a/salary-equity At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents.   IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/alaninsurance/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?source=copy_link.

• Опыт ручного тестирования от 2 лет: backend, API, интеграции.

Location: Croatia; Cyprus; Estonia; Greece; Ireland; Malta; Romania Why Cast AI? Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production. The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation. Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS. Global team, diverse perspectives We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead. Unicorn momentum In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started. Join us as we build the future of autonomous infrastructure. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine. What you'll be solving Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship. This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved. Requirements Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences. Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar. Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage. Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources. Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster. Experience with AI coding agents and agentic development workflows. You've personally driven a complex project end-to-end. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Participate in on-call rotation for teams that require it. Nice to haves Multi-tenant identity system design - authentication, authorization, SSO. Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync. Billing, audit-trail, notification, or feature-flag systems in production. Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability. High-cardinality time-series ingestion and querying at scale. Understanding of Kubernetes internals. CI/CD and DevOps practices experience. Observability tooling (Prometheus, Grafana, OpenTelemetry) in production. Responsibilities Design, build, and operate backend services in Go that other teams and customers depend on being correct. Own features end-to-end: from design through implementation, testing, and production rollout. Debug complex production issues involving security-, money-, or trust-critical flows. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Tools we use daily Programming Language: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab CI with ArgoCD What’s in it for you? Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote