Вакансии

Задачи: — Разработка backend-компонентов на Java и Spring Boot — Создание и поддержка web-интерфейсов с использованием Angular и TypeScript — Проектирование и развитие REST API — Интеграция с внутренними и внешними информационными системами — Работа с базами данных Oracle и PostgreSQL, SQL и PL/SQL — Использование Kafka и других брокеров сообщений — Участие в code review и технических обсуждениях — Оптимизация и развитие существующего функционала — Подготовка и актуализация технической документации — Взаимодействие с командами разработки, аналитиками и смежными подразделениями Требования: — Опыт коммерческой разработки от 2 лет — Уверенное владение Java и Spring Boot — Опыт работы с Angular и TypeScript — Понимание клиент-серверной архитектуры и принципов распределённых систем — Навыки разработки и документирования REST API — Опыт работы с Oracle и PostgreSQL — Знание SQL, приветствуется опыт с PL/SQL — Опыт работы с Kafka или другими брокерами сообщений — Знание алгоритмов, структур данных и системы контроля версий Git — Опыт разработки интеграционных решений (REST, SOAP и др.) — Желание развиваться в направлении FullStack приветствуется Условия: — Гибридный формат работы в Алматы — Дополнительные выплаты к государственным праздникам и KPI — Надбавка к ежегодному оплачиваемому отпуску — Доступ к Coursera — Обучение казахскому языку — Кафетерий льгот на выбор: добровольное медицинское страхование, абонемент в спортзал (Invictus GO), курортно-санаторное лечение

- Развивать backend на NestJS: писать REST API, обрабатывать вебхуки от платежных систем, обеспечивать идемпотентность запросов.

Location: Remote USA Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. This role will be working with Lion Studio. Lion Studios is a mobile games publisher that works with mobile developers to get their games discovered by players around the world. Headquartered in San Francisco, Lion Studios’ creative and strategy teams utilize their expertise to help game developers break through the noise and grow their businesses. Since launching in 2018, Lion Studios has driven 90% of its games to the Top 10 in the App Store and Google Play and helped drive 16 games to #1 in the US App Store’s Top Free chart. About the Role Lion Studios is looking for an Infrastructure & Backend Engineering Lead to own and evolve the technical foundation behind our games, analytics systems, internal products, and web services. This role combines technical leadership with hands-on engineering across AWS, data infrastructure, backend and game services, and web infrastructure. You’ll help set technical direction, lead the team, and work alongside engineers to design, build, and improve the systems that support Lion and our games. We’re looking for someone who can keep critical systems reliable while also looking ahead, identifying opportunities, and driving technical improvements across the organization. What You’ll Own Cloud & Infrastructure Own our AWS infrastructure, architecture, reliability, monitoring, security, and cost optimization. Drive infrastructure automation, CI/CD, observability, and operational best practices. Design and implement improvements to our cloud infrastructure and shared services. Support infrastructure and hosting for internal products, websites, APIs, and other services. Data & Analytics Infrastructure Own the infrastructure behind our analytics stack, including Snowflake and high-volume game event pipelines. Improve the reliability, performance, scalability, and cost of our data infrastructure. Work closely with Analytics and BI to evolve the underlying data platform. Help design and implement changes as our data and analytics needs grow. Backend & Game Services Own shared backend services, APIs, game servers, and live game infrastructure. Design and build backend systems alongside the team. Help define architecture and hosting strategies for services used across our games. Support studios and internal teams integrating with Lion’s backend systems. Technical Leadership Build and own the technical roadmap for the team. Lead engineers and stay involved in architecture, implementation, code reviews, and solving complex technical problems. Proactively identify technical problems and opportunities and drive them forward. Turn ambiguous business and technical problems into clear options, recommendations, and execution plans. Build strong relationships across Engineering, Analytics, Product, QA, Solutions, and our partner studios. Own projects through rollout and beyond, including monitoring, feedback, adoption, and iteration. What We’re Looking For Strong software engineering background with experience building and operating production systems. Strong experience with cloud infrastructure, ideally AWS. Strong backend and distributed systems experience. Experience with modern data infrastructure and high-volume data pipelines. Snowflake experience is strongly preferred. Experience with infrastructure as code, CI/CD, monitoring, automation, and cloud cost management. Experience leading engineers and owning technical roadmaps. Comfortable working across code, infrastructure, architecture, and production systems. Strong technical judgment and the ability to make decisions across multiple areas of engineering. Strong ownership and follow-through from initial idea through launch, measurement, feedback, and iteration. Ability to identify opportunities and drive improvements without needing everything to be fully defined upfront. Strong communication skills and the ability to work across technical and non-technical teams. Nice to Have Experience in mobile gaming, consumer mobile products, AdTech, or another high-scale environment. Experience operating live game services or other highly available backend systems. Experience with Kubernetes, Terraform, Kafka or similar event infrastructure, and modern observability tools. Experience with Snowflake optimization and large-scale analytics workloads. Experience working with distributed teams and external development studios. What Success Looks Like You’ll help set the technical direction for the systems that power Lion Studios and work with the team to bring that direction to life. Our infrastructure is reliable, scalable, and cost-conscious. The team has clear technical direction, projects have strong ownership from idea through rollout, and we’re continuously improving the systems and services that support our games and teams. Working at Tripledot Studios: Time Off: Flexible Discretionary Time Off policy in addition to bank holidays to relax and refresh throughout the year. Financial: Generous 401k match, discretionary bonuses, and competitive salaries. Health & Wellness: Comprehensive Medical, Dental, and Vision coverage. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Family-Friendly Culture: A generous parental leave policy and a supportive, family-friendly culture. Regular company events: Yearly on-site events that celebrate our achievements and our team spirit. This role is currently open to remote candidates based in the following U.S. states: California, Colorado, Florida, Georgia, Illinois, Maryland, Massachusetts, Minnesota, Nevada, New Hampshire, New Jersey, Oregon, Rhode Island, Texas and Washington. Candidates based in Dallas will follow a hybrid work arrangement with our Dallas studio, with four days per week in the office (Monday–Thursday). The anticipated base salary range for this role is $150,000–$185,000. Compensation decisions are made based on the unique qualifications, experience and circumstances of each candidate. Actual compensation is determined based on a variety of factors, including, but not limited to an individual's skills, experience, education, training, licenses and certifications (where applicable), as well as business and organizational needs. The final compensation package will be based on the specific position offered in addition to a full range of medical and other benefits. Tripledot Studios is proud to be an equal-opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. As part of our interview process, we may use AI-enabled tools to assist with note-taking and summarizing conversations. These tools are used only to support our recruiters and interviewers. They are not used to screen applications or make hiring decisions. All candidate evaluations and hiring decisions are made by people. This opening is for an existing vacancy. All legitimate Tripledot roles are only posted on our official careers page and LinkedIn and we do not conduct job interviews via messaging apps like WhatsApp, Telegram or others. We never ask for personal or financial information during interviews. Sensitive information is only ever requested after a formal written offer through official channels.  Any attempt to do so may be the result of a scam or phishing attack, and you should not engage. Our in-house recruitment team will only contact individuals through their official Company email addresses (tripledotstudios.com)

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team of 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We're seeking Senior Developers to join our development team. This is a varied and challenging programming role. Tasks could include writing code to manage incoming data, working with AI Engineers to analyse huge data sets, or writing Restful APIs in Django to support the React front end. Our ideal candidate takes pride in their work – producing clean, tested, beautiful code. Rather than give you a detailed set of requirements, we encourage engineers to take responsibility for solving the problem. There are many opportunities to innovate as you collaborate with stakeholders to design and implement new features. You will be well supported to continue your professional development. This includes an annual conference allowance, a budget for books and a monthly session with your manager to identify and track your learning goals. As Xelix continues to grow opportunities for you to develop your career becoming a Team Lead, Project Lead or Staff Engineer could be available to the right candidate. What you'll be doing Implementing robust and scalable solutions in Python. Developing, using and designing REST APIs to efficiently deliver application components. Implementing performance improvement strategies. Ensuring the quality of code by writing comprehensive tests and participating in code reviews. What you’ll bring 4+ years of Python coding professional experience Ability to learn and apply new technology quickly Ability to effectively communicate complex technical concepts to team members and stakeholders. Familiarity with coding in Django and the Django Rest Framework, or Flask Web frameworks Degree in Computer Science (or similar), at 2:1 or above Amazon Web Services SQL / PostgreSQL Build pipeline and CI with GitHub, Jenkins, Docker, Terraform What we offer in return 💰 Competitive salary of £70,000 - £95,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days 🏡 Hybrid working with one day a week from our dog-friendly Hoxton office 💪 On-site gym and cycle to work scheme 🛍️ Employee discount at over 100 retailers 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. About the role We're seeking Mid and Senior Developers to join our development team. This is a varied and challenging programming role. Tasks could include writing code to manage incoming data, working with AI Engineers to analyse huge data sets, or writing Restful APIs in Django to support the React front end. Our ideal candidate takes pride in their work – producing clean, tested, beautiful code. Rather than give you a detailed set of requirements, we encourage engineers to take responsibility for solving the problem. There are many opportunities to innovate as you collaborate with stakeholders to design and implement new features. You will be well supported to continue your professional development. This includes an annual conference allowance, a budget for books and a monthly session with your manager to identify and track your learning goals. As Xelix continues to grow opportunities for you to develop your career becoming a Team Lead, Project Lead or Staff Engineer could be available to the right candidate. What you'll be doing Implementing robust and scalable solutions in Python. Developing, using and designing REST APIs to efficiently deliver application components. Implementing performance improvement strategies. Ensuring the quality of code by writing comprehensive tests and participating in code reviews. What you’ll bring 3+ years of Python coding professional experience Ability to learn and apply new technology quickly Ability to effectively communicate complex technical concepts to team members and stakeholders. Desirable: Familiarity with coding in Django and the Django Rest Framework Degree in Computer Science (or similar), at 2:1 or above Amazon Web Services SQL / PostgreSQL Build pipeline and CI with GitHub, Jenkins, Docker, Terraform What we offer in return 💰 Competitive salary of £60,000 - £80,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days 🏡 Hybrid working with one day a week from our dog-friendly Hoxton office 💪 On-site gym and cycle to work scheme 🛍️ Employee discount at over 100 retailers 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time. We welcome the responsible use of AI for research and interview preparation, but ask that it isn't used to generate answers during live interviews. We also believe in being transparent - we use Metaview's AI note-taker during interviews so our interviewers can stay fully present. If you'd prefer us not to use it, just let your interviewer know. While you may need to answer eligibility questions as part of your application, we do not use AI to review or make decisions on applications - every application is reviewed fairly by a member of our Talent team.

qiibee is looking for a Full Stack Engineer to build and operate partner APIs, ledgers and dashboards.

• развивать mobile app на React Native / TypeScript. • коммерческий опыт RN + TS.

• Коммерческий опыт RN + TS. • Уверенная разработка под iOS / Android.

Задачи: – Анализ и тестирование требований к продукту – Тестирование обменов (интеграций) – Тестирование микросервисов (REST и SOAP) – Проектирование, разработка и поддержка тестовой документации (тест-кейсы, чек-листы) – Локализация и заведение баг-репортов, проверка исправлений – Покрытие тест-кейсами legacy Требования: – Опыт ручного тестирования от 1 года (коммерческий опыт обязательно) – Опыт ведения тестовой документации (обязательно) – Знание теории тестирования (обязательно) – Знание SQL на уровне select, join (обязательно) – Опыт работы с инструментами для тестирования API (Postman, SoapUi) – Знание Bash (обязательно) – Опыт работы с брокерами сообщений (Kafka, ActiveMQ) – Опыт работы с системами баг-трекинга (Jira, ТестОпс) – Опыт работы с системами логирования (Kibana) – Понимание работы клиент-серверных приложений – Будет плюсом знание: 1С, Docker, K8s Условия: – Официальное трудоустройство в аккредитованную IT-компанию – ДМС – Удаленный формат работы (предоставляем технику, если нужно) – Возможности обучения и развития за счет компании – Можно работать из нашего офиса в СПБ с современным дизайном и лучшими видами на Финский залив, зонами отдыха с выходом на крыше

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 3+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.

- Анализ и тестирование требований к продукту. - Тестирование обменов(интеграций).

Location: Bengaluru Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is redefining what’s possible in legal work by combining cutting-edge AI with intuitive product experiences. As we scale rapidly and take on increasingly complex use cases, we’re expanding our product engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As a Senior Engineering Manager for Product Engineering, you’ll lead teams of backend engineers building the core product surfaces that lawyers and legal professionals use every day—from complex workflows and collaboration tools to elegant user interfaces powered by sophisticated backend systems. This role is equal parts product intuition and technical execution. You’ll be trusted to make fast, high-quality decisions, ship impactful features, and grow a team that embodies engineering excellence. We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you. WHAT YOU'LL DO - Lead engineers define, build, and drive the multi-quarter technical strategy for user-facing features across our product. - Collaborate closely with Design, Product, and AI teams to identify and execute on high-impact initiatives. - Help define and evolve the architecture for a fast-moving, AI-powered application. - Hire, grow, and retain exceptional engineers who thrive in a high-trust, high-impact environment. - Foster a culture of simplicity, quality, and continuous improvement. - Contribute to code and architecture reviews, unblock teams, and lead by example when needed. - Work closely with cross-functional partners to align product initiatives with company goals. WHAT YOU HAVE - 3+ years of experience in a software engineering management role leading product engineering teams, preferably in high-growth environments. - 6+ years of software engineering experience as a backend engineer. - A track record of leading high-performing, engaged engineering teams. - Strong product sense and an instinct for balancing speed, quality, and user impact. - Experience with backend systems (e.g., Python, Java, Go) and modern cloud-native infrastructure. - A plus: Exposure to AI-powered applications or complex internal tools. - Ability to anticipate scaling bottlenecks before they occur and take decisive, proactive measures. - Experience building RAG pipelines and managing the data lifecycle. ADDITIONAL INFORMATION - Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role. PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice. #LI-DM1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

In this Role, you'll get to: Be hands on - its one of the job’s fundamental task, and most of our development managers are writing and reviewing code, giving expert level coaching and guidance to their engineers. It's important to have a love of engineering and a passion for building things elegantly and at scale.

vazifala r: ai/ml yechimlarini amaliy jarayonlarga joriy etish, katta hajmdagi ma’lumotlarni qayta ishlashni avtomatlashtirish va ai modellarini backend tizimlariga integratsiya qilish. talabla r: python’ni yaxshi bilish, llm, vision/vlm yoki ml bilan amaliy ishlash tajribasi.

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is transforming how legal and professional services work gets done. As AI moves from answering questions to carrying out complex workflows, the engineering challenge expands: every interaction depends on systems that can handle sensitive data, stream results, coordinate work, and stay fast and reliable under growing demand. Backend Platform builds the shared foundations that make this possible. We’re looking for an Engineering Manager to lead the team shaping how backend software is built at Harvey. Your team owns the frameworks, libraries, and core abstractions that product engineers use every day—from database access and caching to request handling, observability, and safe context propagation. A better abstraction here can accelerate every product team. A stronger default can prevent an entire class of production failures. The impact of your decisions compounds across the engineering organization. The next chapter is especially compelling. As both engineers and coding agents contribute more software, we need a platform that makes the right patterns easy to use and the wrong ones difficult to introduce. You’ll help define that foundation: clear architectural boundaries, reusable building blocks, and automated safeguards that let teams ship with confidence. You’ll tackle deep systems problems while building an engineering experience people love. This is a technical leadership role with room to shape both the platform and the team. You’ll hire and develop exceptional engineers, set the technical direction, and stay close to architecture and code. If you enjoy turning hard, recurring problems into simple tools that make everyone around you more effective, this is an opportunity to do it at the center of Harvey’s growth. WHAT YOU'LL DO - Lead and grow the Backend Platform team. Hire, coach, and retain exceptional engineers, giving them clear ownership, meaningful technical challenges, and room to grow. - Define the platform’s technical vision and roadmap. Partner with product engineering teams to understand their hardest problems, identify the investments with the broadest impact, and deliver improvements they can feel in their daily work. - Build the next generation of Harvey’s backend foundations. Guide the design of shared frameworks for database access, session management, caching, request handling, and streaming—with clear interfaces and strong defaults. - Help Harvey scale through better architecture. Work with Infrastructure to evolve how applications use databases, replicas, and new storage systems, making those capabilities accessible without requiring every product team to solve the same problems. - Scale the data layer. Build a data access layer so an entity can move to a new store (KV, NoSQL) without product changes. Make read replicas usable and move high-volume data off the primary. - Make failure boring. Load test until “what happens at 3x?” has a real answer. Add circuit breakers, a standard outbound client with timeouts, retries and idempotency, and noisy-neighbor isolation, so one workspace or one slow vendor can’t take down the platform. - Make security and reliability properties of the platform. Partner with Security and product teams on safe handling of customer data, workspace isolation, and safeguards that prevent recurring failure patterns before code reaches production. - Shape a codebase that humans and AI can build in confidently. Establish modular boundaries, enforceable contracts, and automated checks that make changes easier to reason about, review, and ship. - Turn platform improvements into customer impact. Reduce latency, improve observability, and make production issues easier to diagnose. Measure success through adoption, developer productivity, and the performance and reliability of the products built on your work. - Stay close to the engineering. Lead architecture discussions, review critical code, prototype when useful, and help engineers navigate difficult tradeoffs. Partner closely with Infrastructure, Developer Platform, Model Infrastructure, Security, and product engineering leaders to carry changes through to adoption. WHAT YOU HAVE - 6+ years of software engineering experience and 3+ years of engineering management experience, with a track record of building strong teams and delivering complex backend or platform systems. - Deep technical judgment in backend architecture and distributed systems, including database access patterns, concurrency, caching, API design, and performance. - Experience building shared libraries, frameworks, or internal platforms adopted by multiple engineering teams. You know how to balance a useful abstraction with the flexibility its users need. - The technical depth to engage directly in design and code reviews, investigate difficult systems problems, and guide migrations across a large, evolving codebase. Experience with Python and frameworks such as Flask or FastAPI is valuable. - A track record of hiring, coaching, and developing engineers, setting clear expectations, and creating a culture of ownership and thoughtful execution. - Strong product instincts for developer tools. You listen closely to engineers, understand where they lose time, and turn that feedback into simpler, more effective ways to build. - Experience embedding reliability, observability, and security into shared systems, with measurable improvements in production. - Clear communication and the ability to lead across team boundaries, align people on technical tradeoffs, and drive changes from design through rollout. - Serious, hands-on use of AI coding agents, and opinions on what makes a codebase safe for them to work in. COMPENSATION $272,000 - $355,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AN2 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai