Вакансии

Location: Remote - US Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . This is a seasoned engineer role in which you lead technical efforts across multiple teams or subsystems, owning system architecture and development across the stack. A Senior Software Engineer drives technical innovation, acts as a mentor and process advocate, driving improvements that scale beyond a single team. You will exercise high discretion over technical decisions and influence department-level business outcomes. You will set the architectural direction for the systems you own, make and document the key design tradeoffs, and provide strong leadership within and across scrum teams to deliver on that vision. This role will partner with cross-functional teams to build and scale critical security products engineered specifically for offensive cyber capabilities (DoW) and healthcare programs (HHS). Essential Duties and Responsibilities Proactively research, prototype, and introduce technologies and  system designs for green-field products. Lead the design of new systems and major changes to existing ones: write design docs, evaluate alternatives, and document tradeoffs and decisions (e.g., ADRs) Primary IC for green-field product, ensuring long-term code maintainability, readability, and extensibility. Continuously evolve team processes, driving scalable improvements in delivery, quality, and collaboration. API & Integration Design, develop, and maintain scalable and secure APIs, UIs and integration services. Implement RESTful, RPC, and event-driven APIs/UIs for internal and external systems. Collaborate with product, data, and platform teams to ensure seamless system interoperability. Manage API lifecycle including versioning, authentication, monitoring, and performance optimization. Develop and maintain integration pipelines between SaaS systems, data sources, and third-party applications. Troubleshoot integration issues, conduct root cause analysis, and implement fixes. Support continuous improvement through automation, observability, and best practices. Education, Experience, Knowledge, Skills, and Abilities 5+ years of experience of software development experience Strong proficiency in TypeScript and modern JavaScript. Extensive experience with React and JavaScript web development frameworks (Next.js preferred) Experience with ORM frameworks and relational databases, including data modeling and provenance tracking patterns (Prisma, Drizzle, PostgreSQL) Experience building long-running, fault-tolerant workflows with durable execution engines (Inngest, Temporal, or similar) Hands-on experience integrating state-of-the-art LLMs into production systems, including agent design, tool use, and evaluation Strong understanding of integration patterns, and experiencing building external API integrations (pub/sub, webhook, ETL, etc.). Excellent debugging, analytical, and problem-solving skills. Preferred Experience Bachelor’s degree in Computer Science, Software Engineering, or related field. Working Conditions and Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation. Sitting and / or standing - Must be able to remain in a stationary position 50% of the time Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day. Environment - remote, work-from-home 100% of the time with travel to client sites Pay Range Disclosure At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business. The national estimate for the current base range for the position of Senior Full Stack Engineer is: $140,400 - $175,500. This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/

Location: Limassol, Cyprus Spotware Systems is looking for a Customer Success Manager to retain and grow corporate clients using the Spotware products by acting as their trusted advisor. The Customer Success Manager owns the client relationship end to end: onboarding and configuration guidance and follow ups, proactive account management, adoption and utilisation growth, and the translation of client business needs into clear, testable requirements for Product, Engineering and Support. The role strengthens satisfaction and loyalty, identifies and mitigates churn and relationship risks, and feeds structured insight back into product, service and commercial decisions. Requirements 3+ years in a client-facing role (Customer Success, Account Management, Business Analysis or Onboarding) in fintech or trading software, with a track record of retaining and growing corporate accounts. Good working knowledge of FX/CFD trading - how prices are formed, how orders are placed and filled, how leverage and margin work, and a general sense of how brokers manage risk - plus an interest in understanding execution quality (fair fills, slippage, unusual trading patterns). Ability to analyse usage, execution data and client feedback to identify risks, needs and improvement opportunities, and to turn them into structured recommendations. Experience organising and delivering client training, onboarding sessions, webinars or other enablement activities. Good MS Excel skills and comfort working with large trading datasets. Practical daily use of AI tools to accelerate analysis, documentation, client communication, reporting and enablement, with the judgement to validate outputs before use. Excellent verbal and written communication skills in English; clear, structured communicator. Nice to have: Experience with liquidity bridges and aggregators Responsibilities Client success and consultative support: provide consultative support to corporate clients on company products and services; resolve client questions, issues, and requests promptly and professionally; help clients understand product functionality and use the platform more effectively; maintain regular communication with clients to strengthen satisfaction, loyalty, and long-term cooperation. Platform usage and client value: analyze how clients use the products and identify opportunities to increase product value for them; guide clients toward more effective, beneficial, and informed use of company products; identify usage gaps, adoption barriers, recurring questions, and improvement opportunities; support client success goals through structured recommendations and follow-ups. Training and enablement: organize and conduct client training programs, seminars, and webinars; prepare materials and guidance that help clients improve their proficiency in using company products; adapt training and enablement activities to client needs, product updates, and common usage challenges. Feedback, data, and improvement initiatives: collect and analyze client feedback to identify product, service, and process improvement opportunities; collect and analyze client data to support strategic initiatives for service and product improvement; manage client-related changes and communicate relevant needs or risks to internal teams; respond quickly to situations that may negatively affect client relationships. Cross-functional collaboration: coordinate with Sales, Marketing, Product, Support, Billing, Technical, and Development teams to achieve client success goals; communicate client needs, feedback, risks, and opportunities to relevant stakeholders; support alignment between commercial, product, and technical teams around client priorities. AI-assisted work: use AI tools to improve client analysis, communication drafting, meeting preparation, feedback analysis, training materials, reporting, and process efficiency; validate AI-generated outputs before using them in client communication, reporting, or internal documentation. Conditions Private medical insurance. Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup. Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare. A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays. Fair remuneration based on your experience, skills, and level of responsibility. Welcome Baby Bonus and Baby Box to celebrate the arrival of a child. Birthday voucher. Partial compensation for sports activities and wellness initiatives. Greek language classes.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking an experienced and detail-oriented Product Designer to join the OKX team, focused on VIP and Deposit & Withdraw experiences. You'll help guide the team's attention to UX craft and lead cross-functional design alignment and efficiency across our global apps. This pivotal role focuses on crafting dynamic and engaging experiences for our highest-value users and the deposit and withdrawal journeys that underpin every product on the platform, including how those journeys connect to Earn. As part of this role, you will be part of a world-class team shaping how VIP users experience tiering, benefits, and recognition, as well as how all users move funds in and out of OKX across fiat and crypto rails. Collaboration is key in this position, as you will work closely with our global design, product, creative, strategy, engineering, and research teams to elevate the cutting edge of our product offerings. Your contributions will steer the development and implementation of new concepts for VIP and Deposit & Withdraw, deliver designs aligned with business objectives. The right candidate for this role possesses a detail-oriented approach to user experience, with a passion for holistic product-design thinking. As a strategic partner to cross-functional teams, you should excel in adaptability and conversing with stakeholders, while continuing to maintain a focus on excellent user experience and product quality. What You’ll Be Doing Leverage data, insights, and user feedback to bring human voices into problem statements, product interfaces, and user journeys Generate ideas quickly, and connect regularly with customers to validate directions Participate in design critiques and present work in product leadership feedback meetings Own end-to-end design quality for VIP and Deposit & Withdraw, which includes advocating for UX craft and users Design VIP tiering, benefits, and recognition experiences, including how Earn perks and bonuses surface for VIP users Design deposit and withdrawal flows across fiat and crypto rails that are fast, trustworthy, and easy to follow Co-lead the product development process, influencing strategic decisions improve the overall product experience, and ensure consistency Partner with visual designers, product managers, user researchers, and engineers across markets to build and ship experiences that represent the company vision Work across teams to drive consensus and advocate for solutions that balance the needs of our users with our business goals Think systematically about UI patterns and reusable solutions, designing not just individual screens but scalable components that work across features and contexts Contribute to and evolve our design system by identifying opportunities to abstract one-off designs into well-documented, flexible components that accelerate the team What We Look For In You Must be native to crypto and have experience in investing in Cefi or DeFi Requires 5-8 years of Product Design experience, with a Bachelor’s degree in Product Design, Web Design, or equivalent project/portfolio experience Experience designing outstanding digital products in an agile development environment with cross-functional partners, backed by a portfolio that showcases modern design work and demonstrates your ability to design mobile-first digital Deep understanding of human-centered design principles, and proficient in dissecting complex problems and tasks, translating them into user-centric, data-driven experiences that are intuitive and inclusive Extensive background in developing digital products and experiences through comprehensive knowledge of user research, user experience, interaction design, and prototyping techniques, and demonstrated expertise in employing design methodologies and tools to facilitate cross-functional collaboration in understanding and meeting user needs Skilled in thriving within a fast-paced environment, adept at managing multiple dependencies, prioritizing tasks independently, and demonstrating flexibility while proactively addressing challenges Strong presentation, interpersonal and communication skills, with experience articulating complex and abstract concepts persuasively, providing rationale behind decisions, remaining open to feedback, and confidently representing viewpoints Systems-level design thinking: you naturally spot patterns across flows and proactively create reusable, scalable components rather than solving each screen in isolation, with experience building, documenting, or contributing to a component library or design system Nice to Haves Knowledge of OKX VIP, Deposit & Withdraw, and Earn products Experience working with teams across offices and US time zones Experience using AI tools (Figma plugins, generative design, prompt-based prototyping) to accelerate design workflows and explore concepts faster Experience using AI to build systematic design approaches, moving beyond screen-by-screen design to construct interactive, high-fidelity flows that can be explored and validated end to end Highlights of Perks and Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-EW1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

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

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

Location: Almaty, Kazakhstan Workplace: hybrid We’re looking for an Internal Investigations Manager to join our team and take the lead on fraud investigations across our business. You’ll run investigations end to end — from gathering evidence and interviewing witnesses to analysing what happened and presenting your findings. You’ll also look beyond individual cases to spot patterns, uncover control gaps, and help make our processes stronger. If you’re naturally curious, highly objective, comfortable handling sensitive information, and not afraid to ask the uncomfortable questions — we’d love to hear from you. Key Responsibilities Manage end-to-end fraud investigations across countries, ensuring timely closure Gather, preserve, and document digital and operational evidence in line with chain-of-custody best practices Conduct structured interviews (in-person or video) with whistleblowers, witnesses, and internal stakeholders. Prepare clear, well-structured investigation reports and case summaries for internal stakeholders Identify control gaps or process weaknesses through investigations and recommend remediation actions Identify systemic fraud patterns and conduct root cause analysis on recurring case types, translating findings into actionable recommendation Monitor implementation of controls across business units Participate in cross-team collaboration and knowledge-sharing sessions Contribute to the development and continuous improvement of investigation procedures, templates, and methodologies — including responsible use of AI for efficiency Skills, Knowledge & Expertise Bachelor’s degree. 7+ years of investigation experience , including independently managing investigations end to end, from intake through evidence collection, interviews, analysis, and formal reporting. Professional proficiency in English Strong skills in evidence handling and chain of custody, structured interviewing and statement-taking, OSINT, link analysis and relationship mapping . Experience with NUIX, Relativity, digital evidence handling, and data analytics . Big 4 experience is preferred. Certified Fraud Examiner (CFE) certification — nice to have. Strong analytical and structured thinking skills, with the ability to make sense of complex, incomplete, or contradictory information. High standards of integrity, objectivity, discretion, and confidentiality . Strong emotional intelligence and communication skills , with the ability to handle sensitive interviews and communicate difficult findings to senior stakeholders. Professional courage and attention to detail , with the ability to stand behind conclusions under pressure. A drive to go beyond individual investigations by identifying systemic fraud patterns, control gaps, and root causes , and turning findings into actionable improvements. 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 Delivery Hub is one of inDrive’s business units responsible for building and scaling the delivery product, which is rapidly expanding into new markets and adopting an AI-first approach to engineering processes. We are looking for a Tech Lead who will combine hands-on engineering with leadership responsibilities: owning team delivery and execution, defining technical direction and ensuring solution quality, as well as supporting engineers’ growth through feedback, mentoring, and regular 1:1s under the guidance of an Engineering Manager. Key Responsibilities Translate business needs into a technical strategy with measurable outcomes. Ensure alignment with the global company strategy. Identify and propose architectural and technical improvements across the product and platform, using data and trade-off analysis. Advocate, present, and defend technical solutions at the organizational level in collaboration with various stakeholders (Product, Data, Security, SRE, etc.). Participate in reviewing product & technical strategies as a subject-matter expert. Lead the process of technical research and implementation to create or improve services and systems. Write clean, effective, and maintainable code based on company standards. Participate in improving company-wide code and review standards. Take ownership of and improve the Android development lifecycle. Help engineers grow and increase their productivity. Create effective processes for knowledge sharing and collaborative work. Increase the re-use of best practices across teams. Lead task decomposition; mentor engineers and contribute to engineering guidelines. Skills, Knowledge and Expertise 6+ years of commercial Android development; expert in Kotlin and modern Android APIs. Hands-on experience with Retrofit/OkHttp, Coroutines/Flow (plus RxJava for legacy), Jetpack (Compose, WorkManager), Google Maps, FCM, and Gradle. Proven experience with CI/CD (GitHub Actions/GitLab CI), feature flags, and large-scale A/B experimentation. Strong grasp of offline storage, concurrency, performance tuning, and network debugging. Practical expertise in Clean Architecture and mainstream patterns (MVI/MVVM/MVP) applied in production. Deep understanding of client-server interaction and how to make it efficient. Knowledge of specific features and limitations for various use cases. Proven record of mentoring and technical leadership, shaping processes, and raising engineering quality across teams. Strong grasp of backend-service principles, API design, networking, concurrency, and performance optimization. Experience setting up telemetry, dashboards, and automated alerts for production systems; risk assessment and mitigation. Exceptional communication, strategic thinking, and influence; able to drive alignment across multiple teams. AI-first mindset and readiness to adopt AI tools in engineering processes. Real backend development experience is a strong plus. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

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

Location: Mexico City, Mexico Workplace: onsite The Quality Assurance Group Lead combines advanced quality assurance expertise with people management, mentoring, and quality control — ensuring the consistency, accuracy, and effectiveness of quality evaluations within an assigned region, workflow, or operational scope. This role sits between QA Specialist and QA Manager, leading a team of 5–7 QA Specialists within inDrive's CS Operational Excellence department, and reports directly to the QA Manager. Key Responsibilities Lead a team of 5–7 QA Specialists within the assigned scope Distribute and prioritize workload across the team Coach, mentor, and develop QA Specialist competencies Monitor individual and team performance against quality KPIs Conduct regular 1:1s, team meetings, and performance reviews Conduct quality audits and second-level reviews of QA Specialist evaluations Ensure consistent application of quality governance frameworks and evaluation standards Act as the escalation point for complex quality-related questions and methodology disputes Lead calibration sessions to align monitoring results across the team Resolve disagreements related to monitoring results or evaluation methodology Identify trends, recurring mistakes, and systemic quality issues within the assigned scope Prepare quality insights, summaries, and action plans for stakeholders Support the implementation of new QA methodologies, monitoring scenarios, and process updates Participate in QA automation and process-improvement initiatives Provide data-driven recommendations to QA management based on monitoring results Skills, Knowledge & Expertise 3+ years of experience in Customer Support, Quality Assurance, or Operational Excellence Proven experience in quality monitoring, evaluations, and calibration processes Experience coaching, mentoring, or formally coordinating the work of others Experience working in multi-team or multi-vendor (BPO) environments — preferred Strong knowledge of quality frameworks, monitoring methodologies, and calibration standards Excellent analytical skills with the ability to identify trends and systemic patterns Strong written and verbal communication skills; ability to present findings clearly Demonstrated ability to collaborate across functions and levels of the organization Proficiency with QA platforms, dashboards, reporting tools, and performance analytics systems Ability to manage competing priorities and work effectively in a fast-paced environment Bilingual proficiency in Spanish and English (spoken and written) Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We’re looking for an Internal Investigations Manager to join our team and take the lead on fraud investigations across our business. You’ll run investigations end to end — from gathering evidence and interviewing witnesses to analysing what happened and presenting your findings. You’ll also look beyond individual cases to spot patterns, uncover control gaps, and help make our processes stronger. If you’re naturally curious, highly objective, comfortable handling sensitive information, and not afraid to ask the uncomfortable questions — we’d love to hear from you. Key Responsibilities Manage end-to-end fraud investigations across countries, ensuring timely closure Gather, preserve, and document digital and operational evidence in line with chain-of-custody best practices Conduct structured interviews (in-person or video) with whistleblowers, witnesses, and internal stakeholders. Prepare clear, well-structured investigation reports and case summaries for internal stakeholders Identify control gaps or process weaknesses through investigations and recommend remediation actions Identify systemic fraud patterns and conduct root cause analysis on recurring case types, translating findings into actionable recommendation Monitor implementation of controls across business units Participate in cross-team collaboration and knowledge-sharing sessions Contribute to the development and continuous improvement of investigation procedures, templates, and methodologies — including responsible use of AI for efficiency Skills, Knowledge & Expertise Bachelor’s degree. 7+ years of investigation experience , including independently managing investigations end to end, from intake through evidence collection, interviews, analysis, and formal reporting. Professional proficiency in Russian and English — mandatory. Strong skills in evidence handling and chain of custody, structured interviewing and statement-taking, OSINT, link analysis and relationship mapping . Experience with NUIX, Relativity, digital evidence handling, and data analytics . Big 4 experience is preferred. Certified Fraud Examiner (CFE) certification — nice to have. Strong analytical and structured thinking skills, with the ability to make sense of complex, incomplete, or contradictory information. High standards of integrity, objectivity, discretion, and confidentiality . Strong emotional intelligence and communication skills , with the ability to handle sensitive interviews and communicate difficult findings to senior stakeholders. Professional courage and attention to detail , with the ability to stand behind conclusions under pressure. A drive to go beyond individual investigations by identifying systemic fraud patterns, control gaps, and root causes , and turning findings into actionable improvements. 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 58 000 EUR gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid Join the Storefront Team and help build the core customer-facing experience of our marketplace - from discovering partners and browsing product catalogs to product details, cart, and checkout. You’ll work on scalable backend solutions that provide a seamless experience across different partners while improving performance, personalization, conversion, and enabling the rapid integration of new partners. Location: Georgia (country) 🇬🇪 Key Responsibilities Developing backend services for a grocery storefront, including catalog, categories, search, PDP, cart, and checkout. Working with large catalogs and assortments that depend on a specific store, warehouse, or user location. Handling frequently changing prices, inventory, discounts, and product availability. Validating the cart before checkout, including prices, availability, quantity limits, minimum order value, and store restrictions. Supporting grocery-specific scenarios such as weighted products, unavailable items, and substitutions. Integrating with catalog, pricing, inventory, order, payment, and delivery services. Onboarding grocery partners with different APIs and data models. Ensuring low latency, high availability, and resilience of customer-facing flows. Skills, Knowledge and Expertise Mandatory: proven experience in the grocery 5+ years of commercial backend engineering. With experience solving complex problems in high-load environments Strong knowledge of Go programming language. Knows and has applied advanced features of the Go language in practice Strong SQL knowledges, including designing schemas, scaling strategies (replication, partitioning, sharding) and query optimisation for high-load environment In-depth knowledge of Redis, familiar with various data structures, and its efficient use in high-load systems Experience working with Docker, understanding CI/CD pipelines. Knows how work k8s (or analogs) and cloud infrastructure (like AWS) Experience with synchronous and asynchronous inter-service communication patterns, with a focus on reliability in high load environment Knows main microservice architecture patterns. Deep understanding of how to build efficient interactions between client and server applications, knows limitations Proven ability to design and implement a full observability strategy, including metrics, logging, dashboards, and tracing An interest in new technologies, a collaborative spirit, and a drive to continuously develop your skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid 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: Cairo, Egypt Workplace: hybrid Several Backend Engineer positions are available within product teams. Each role is embedded in a single team and focuses on the development and scaling of backend solutions across the company’s product areas. Key Responsibilities Design and implement complex business logic in Golang autonomously, while ensuring high performance and system reliability. Design optimal database structures (SQL), manage indexes, and optimize query performance. Build asynchronous service interactions using Kafka. Take ownership of backend services lifecycle, including delivery, monitoring and maintaining backend services in the production environment Write clean, structured code, conduct code reviews, ensure compliance with architectural guidelines (ADR), and implement engineering best practices. Set up monitoring and alerting for your services, participate in Post-Mortem processes, identify root causes of incidents, and automate routine tasks. Share expertise with the team, participate in onboarding new members, and contribute to the development of internal libraries and tools. Proactively seek improvements in technical implementations and product solutions, striving to deliver the best possible user experience. Skills, Knowledge and Expertise 6+ years of commercial backend engineering. With experience solving complex problems in high-load environments 3+years of commercial experience with Golang. Knows and has applied advanced features of the Go language in practice Strong SQL knowledges, including designing schemas, scaling strategies (replication, partitioning, sharding) and query optimisation for high-load environment In-depth knowledge of Redis, familiar with various data structures, and its efficient use in high-load systems Experience working with Docker, understanding CI/CD pipelines. Knows how work k8s (or analogs) and cloud infrastructure (like AWS) Experience with synchronous and asynchronous inter-service communication patterns, with a focus on reliability in high load environment Knows main microservice architecture patterns. Deep understanding of how to build efficient interactions between client and server applications, knows limitations Proven ability to design and implement a full observability strategy, including metrics, logging, dashboards, and tracing An interest in new technologies, a collaborative spirit, and a drive to continuously develop your skills Conditions & Benefits Stable salary, official employment. Health insurance. Hybrid work mode and flexible schedule. Access to professional counseling services including psychological, financial, and legal support. Discount club membership. Diverse internal training programs. Partially or fully paid additional training courses. All necessary work equipment.

Location: Almaty, Kazakhstan Workplace: hybrid Several Senior Backend Engineer positions are available within product teams. Each role is embedded in a single team and focuses on the development and scaling of backend solutions across the company’s product areas. Key Responsibilities Design and implement complex business logic in Golang autonomously, while ensuring high performance and system reliability. Design optimal database structures (SQL), manage indexes, and optimize query performance. Build asynchronous service interactions using Kafka. Take ownership of backend services lifecycle, including delivery, monitoring and maintaining backend services in the production environment Write clean, structured code, conduct code reviews, ensure compliance with architectural guidelines (ADR), and implement engineering best practices. Set up monitoring and alerting for your services, participate in Post-Mortem processes, identify root causes of incidents, and automate routine tasks. Share expertise with the team, participate in onboarding new members, and contribute to the development of internal libraries and tools. Proactively seek improvements in technical implementations and product solutions, striving to deliver the best possible user experience. Skills, Knowledge and Expertise 6+ years of commercial backend engineering. With experience solving complex problems in high-load environments 4+years of commercial experience with Golang. Knows and has applied advanced features of the Go language in practice Strong SQL knowledges, including designing schemas, scaling strategies (replication, partitioning, sharding) and query optimisation for high-load environment In-depth knowledge of Redis, familiar with various data structures, and its efficient use in high-load systems Experience working with Docker, understanding CI/CD pipelines. Knows how work k8s (or analogs) and cloud infrastructure (like AWS) Experience with synchronous and asynchronous inter-service communication patterns, with a focus on reliability in high load environment Knows main microservice architecture patterns. Deep understanding of how to build efficient interactions between client and server applications, knows limitations Proven ability to design and implement a full observability strategy, including metrics, logging, dashboards, and tracing An interest in new technologies, a collaborative spirit, and a drive to continuously develop your skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive is seeking an Anti-fraud Officer to own detection and investigation of fraud across our ride-hailing, delivery and city-to-city products: Ban evasion through multi-accounting, GPS spoofing, ride manipulation, promo and referral abuse, payment fraud, driver–passenger collusion etc. Key Responsibilities Analyze transactional and behavioral data using SQL and Python to identify suspicious patterns and emerging fraud schemes Develop, tune, and improve fraud detection rules and anti-fraud dashboards Evaluate the quality and effectiveness of detection rules by tracking precision and other key performance metrics Manage fraud cases end-to-end , from identifying suspicious activity to investigation, documentation, and escalation of confirmed incidents Conduct risk assessments of new and existing product features in collaboration with Product teams Analyze and monitor fraud losses , identify key sources of losses, and develop plans to reduce them Propose and implement fraud risk mitigation measures together with Product and other cross-functional teams Skills, Knowledge and Expertise 4 + years of experience in anti-fraud, risk analytics, or a related analytical field Strong proficiency in SQL and Python for analyzing large datasets Solid understanding of statistics and the ability to apply statistical methods to behavioral analysis and anomaly detection Experience working with data and the ability to independently identify suspicious patterns and formulate hypotheses Strong analytical thinking, attention to detail, and a structured approach to investigations Ability to work in ambiguous environments and independently drive investigations from initial detection to actionable conclusions and recommendations English — B2 or higher 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: 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: 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 .