Задачи:
— Развертывание и поддержка full nodes (Ethereum, Bitcoin, Tron)
— Настройка и сопровождение RPC, архивных и валидаторных нод
— Обеспечение высокой доступности (HA), отказоустойчивости и масштабируемости инфраструктуры
— Мониторинг состояния нод (Prometheus, Grafana)
— Оптимизация производительности (disk I/O, RAM, CPU, network latency)
— Управление обновлениями клиентов и форками сетей
— Настройка резервного копирования и восстановления данных
— Автоматизация процессов
— Работа с облачной инфраструктурой (Hetzner, OVH, AWS, GCP и аналоги)
— Обеспечение безопасности (firewalls, access control, DDoS protection)
— Поддержка внутренних команд (backend, data, product) через RPC/API endpoints
Требования:
— Опыт DevOps/SRE от 3-х лет
— Практический опыт работы с blockchain nodes
— Глубокое понимание Linux (Ubuntu/Debian), networking и системного администрирования
— Опыт работы с Docker, Kubernetes
— Уверенное владение инструментами мониторинга и логирования
— Опыт автоматизации (Bash, Python или Go)
— Понимание принципов консенсуса (PoW, PoS, validators)
— Опыт работы с high-load системами
Будет плюсом:
— Опыт запуска валидаторов и участия в staking
— Работа с MEV, indexers, archive nodes
— Знание специфики L2 решений (Arbitrum, Optimism, zkSync)
— Опыт работы с Web3 API (Infura, Alchemy аналоги)
— Понимание безопасности ключей и HSM решений
Технологический стек:
OS: Linux (Ubuntu)
Containers: Docker, Kubernetes
Infra: Terraform, Ansible
Monitoring: Prometheus, Grafana
Cloud: AWS / GCP / Hetzner
Blockchain clients: Geth, Erigon, Nethermind, Bitcoin Core, Solana Validator
Задачи:
— Получать задачи от внутренних заказчиков и погружаться в их бизнес-процессы.
— Выявлять, какие процессы можно и целесообразно автоматизировать с помощью AI.
— Формировать ТЗ, декомпозировать задачи и предлагать варианты реализации.
— Проектировать структуру AI-автоматизации и самостоятельно реализовывать решения.
— Работать с Claude, ChatGPT и другими LLM.
— Создавать AI-ассистентов, AI-агентов и базы знаний.
— Настраивать интеграции с CRM, 1С, сайтами, мессенджерами, телефонией и другими системами.
— Работать с API, RAG, embeddings и автоматизированными workflow.
— Тестировать, дорабатывать и повышать качество AI-решений.
— Описывать готовые решения, создавать инструкции и базу знаний.
— В перспективе выстраивать процессы разработки и управлять командой AI-разработчиков.
Требования:
— Опыт работы в AI / AI Automation / Backend / Integration от 3 лет.
— Практический опыт работы с Claude, ChatGPT и LLM.
— Опыт создания AI-решений и автоматизации бизнес-процессов.
— Понимание API, интеграций, RAG, embeddings, AI-агентов.
— Системное мышление и способность самостоятельно разобраться в новой задаче.
— Умение общаться с бизнес-заказчиками и переводить их запросы в техническое ТЗ.
— Навык самостоятельно вести задачу от постановки до готового результата.
— Ответственность за качество и результат внедрения.
Будет плюсом:
— Python, SQL/PostgreSQL, n8n, Make, Docker, MCP, опыт создания AI-агентов, CRM/1С и опыт управления разработчиками.
Условия:
— Офис в Москве, рядом с м. ЦСКА.
— График 5/2: 09:00–18:00 или 10:00–19:00.
— Заработная плата обсуждается по итогам собеседования.
— Реальные задачи по внедрению AI в бизнес, возможность видеть результат своей работы.
— Возможность влиять на технологии и формировать AI-направление внутри компании.
— Перспектива роста в Team Lead / руководителя направления.
— Профессиональная команда и возможности для развития.
— Современный офис класса А.
— Скидки на услуги компании.
Задачи:
— Построение UI
— Интеграция с backend
— Реализация сложных форм в экосистеме React
— Реализация конструктора форм
— Микрофронтенды
Требования:
— Опыт работы на финтех проектах
— Отличные навыки в HTML, CSS, JS, TS, React, Git
— Умение работать с AI агентами
— Знание и опыт работы с microfrontend, Vite, Webpack, Vue 2/3, Angular, Node.js, state management, form management с валидацией, Docker, Docker Compose
Условия:
— Срок проекта 6 месяцев с возможной пролонгацией
— Полное соблюдение ТК РФ с первого дня работы и своевременная выплата заработной платы
— Гибридный формат работы (м. Арбатская)
— Расширенный ДМС со стоматологией
— Бесплатное обучение английскому языку для сотрудника и детей
— Скидки в фитнес-клубы
— Предоставление всей необходимой техники для работы
ГибридmiddleМосква; Сейчас мы находимся в поиске
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Location: New York, New York, United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Forward-Deployed AI Engineer — Enterprise AI
Location:
New York City
Experience Level:
8+ years
Compensation:
$200,000–$250,000 base salary + equity
Work Model:
In-office, typically three to five days per week, depending on client requirements
Why Join Enterprise AI?
Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it.
You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders.
You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be
exactly the challenge you’re looking for.
As a Forward-Deployed Engineer, You Will
Find the Problem Worth Solving
Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive.
Build Beyond the Frontier
Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale.
Own the Outcome
You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost.
The Anti-Sell
High ownership and intensity:
This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges.
Client-first and in-office:
Our work is client-first, which means in-person collaboration may be required either at the client site or at our planned Manhattan office near Madison Square Park. Depending on your assignment and client needs, you should expect to work in person three to five days per week and be based in the New York City area or within a reasonable commuting distance.
You’ll help write the playbook:
Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one.
Our Forward-Deployed Engineers Typically Have
Deep production engineering experience:
Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure.
Hands-on agentic AI experience:
Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows.
End-to-end systems ownership:
A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost.
Exceptional customer and technical leadership:
The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives.
Client-ready communication:
The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure.
Don’t Meet Every Qualification Yet?
If you don’t meet every qualification for this role, we encourage you to apply to our
Forward-Deployed AI Engineer (In Training)
opportunity.
This role is designed for high-potential software engineers and full-stack developers who are building the production engineering, applied AI, and client-delivery skills required to become Forward-Deployed AI Engineers at Turing.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Hybrid - San Francisco, New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
The next generation of software won’t just be used by people — it’ll be built and shipped by agents. Builds are where that happens, and they’re the beating heart of Vercel. Whether an idea starts in v0, in an agent, or in an engineer’s editor, every customer builds — and millions of builds flow through our systems every day.
As an engineer on the Agentic Infrastructure team, you’ll take ownership of the systems that carry that work at scale. You won’t just contribute features — you’ll be responsible for the design, reliability, and evolution of the platform itself. You’ll make decisions that shape performance, define best practices, and ensure the workflows that Vercel, our customers, and their agents depend on are fast, resilient, and secure.
This role blends product thinking with deep systems ownership. You’ll partner with teams across Vercel to build and operate the agentic infrastructure that determines how software actually ships.
We’re looking for engineers who want to own high-scale systems end-to-end, thrive on improving the developer/agent experience, and are driven to have a lasting impact on how modern software gets built and delivered.
What you’ll do
Own and evolve the infrastructure that powers Vercel’s build and deployment lifecycle — from handling webhooks to designing resilient database schemas and building scalable APIs.
Design and operate high-performance microservices that process millions of builds daily, ensuring speed, reliability, and developer delight.
Lead projects end-to-end: from identifying opportunities to defining technical direction and delivering improvements in performance, reliability, and developer experience.
Collaborate across teams to align infrastructure with company-wide goals and ensure seamless developer workflows.
Shape the long-term vision of agentic infrastructure at Vercel by setting standards for scalability, reliability, and developer productivity.
Participate in the on-call rotation, taking responsibility for the reliability of critical systems.
Contribute to the open-source community, representing Vercel’s commitment to advancing developer tools globally.
Write clean, efficient, tested, and well-documented code that others can build upon confidently.
What you need
3+ years of experience designing, building, and operating backend applications and distributed systems at scale.
Strong proficiency in JavaScript/TypeScript, with the ability to navigate and improve complex systems.
Strong proficiency with cloud infrastructure (AWS) and infrastructure as code (Terraform)
A track record of end-to-end ownership — from design and implementation through to long-term operation in production.
Skilled at cross-team collaboration, able to influence priorities and drive alignment toward shared goals.
Able to reason about technical direction and architectural tradeoffs, balancing long-term vision with pragmatic delivery.
Invested in the people around you — through mentorship, code review, or simply raising the bar on how the team builds.
Curious, eager to learn, and motivated to push the boundaries of how modern software gets built and shipped.
Bonus if you
Are familiar with React or Next.js
Have experience with DynamoDB
Have worked to develop a CI/CD platform or internal developer platform used by other engineers or by agents.
Have experience contributing to or participating in open-source projects.
Have experience optimizing build systems for monorepos or polyrepo setups.
Have experience with build caching, artifact storage, or dependency management at scale.
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The base pay range for this role is $196,000.00 - $294,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
#LI-KR1
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Strava SF
Workplace: Hybrid
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
We are looking for a Senior Data Engineer to join the Data Products team at Strava. The Data Products team sits at the core of Strava's AI strategy, turning Strava's unique community and activity data into reliable, reusable, enriched datasets that power experiences across the app. The team operates at the intersection of data engineering, ML platform engineering, and server engineering, building the pipelines and platform layer that let our proprietary embeddings, algorithms, and models reach athletes at scale.
As a Senior Engineer, you'll build and operate the pipelines and access layer that turn raw data, algorithms, and models into production-ready data products used across the app. You'll work closely with ML engineers, data scientists, and product teams to ship data products with strong reliability, freshness, and clear contracts, and you'll contribute to the self-serve tools that make these products easier for other teams to build on.
We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco office — three days per week.
WHAT YOU’LL DO:
- Build for a Well Loved Consumer Product: Work at the intersection of Geo and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide
- Build and Operate Data Products: Develop and maintain the pipelines, APIs, and platform tooling that expose Strava's derived data products, including embeddings, ranking artifacts, clustering outputs, and enriched activity streams, as reliable, well-documented internal products.
- Contribute to Self-Serve Tooling: Build components of the self-serve interfaces and golden paths that let product and CUJ engineering teams use core data products without deep ML or data engineering expertise.
- Own End-to-End Data Product Delivery: Drive projects end-to-end, from pipeline design and artifact schema through production deployment and monitoring, ensuring correctness, freshness, and reliability of the data products you own.
- Collaborate Across ML, Data Engineering, and Product: Work closely with ML engineers on integrating model outputs into durable, versioned artifacts; partner with Data Platform on compute patterns and cost efficiency; inform product teams on how to consume and leverage these capabilities.
- Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features
YOU WILL BE SUCCESSFUL HERE BY:
- Treating Data Products as Products: Bringing engineering rigor, versioning, contracts, SLAs, monitoring, and deprecation paths to data artifacts and ML insights you own, so downstream teams can depend on them.
- Owning Your Work End-to-End: Taking accountability for the reliability and correctness of the systems you build in production and their adoption by downstream teams, while staying aware of adjacent workstreams so dependencies and timing don’t stall the team’s momentum.
- Collaborating Across Disciplines: Working fluidly with ML engineers, data engineers, data scientists, and product managers to align on artifact semantics, evaluation standards, and consumption patterns.
- Contributing to the Standard: Helping establish best practices for data product development and operational health, and mentoring junior and mid-level engineers on the team. You love to stay current on emerging practices in backend and data engineering and apply them pragmatically, favoring what actually moves the team forward over novelty for its own sake.
- Being passionate about the work you are doing and contributing positively to Strava's inclusive and collaborative team culture and values.
WHAT YOU’LL BRING TO THE TEAM:
- Experience building and operating complex, data-intensive backend systems in production at scale, with a track record of breaking large technical problems into well-scoped, executable work.
- Demonstrated experience building access layers, platform tooling, or internal developer products ideally for large scale data or ML systems with a strong instinct for contract design, versioning, and self-serve patterns.
- Experience building and maintaining production data pipelines and batch/stream workflows using technologies like Spark, Kafka, Flink, Iceberg, Snowflake, or similar.
- Proficiency in backend service development on cloud environments (AWS preferred), using Python, Scala, Go, or equivalent. Solid understanding of distributed systems and containerized infrastructure (Kubernetes, Docker).
- Comfort taking technical ownership within a project or team: making design trade-offs, coordinating with collaborators, and mentoring junior engineers and peers.
- Eagerness to engage with ML concepts such embeddings, classification outputs, model evaluation, GenAI integrations. Bonus points if you are already an ML practitioner.
- Strong communication and collaboration skills with the ability to work effectively with cross-functional partners.
For more information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub.
WHY JOIN US?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub
Location: Canada Wide - Excluding Quebec; British Columbia
Workplace: Hybrid
ABOUT THE ROLE
Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization.
This is a hands-on engineering role responsible for the full AI lifecycle, from data preparation and model development through evaluation, deployment, monitoring, and continuous improvement. You will work across generative AI, applied machine learning, retrieval, and agentic systems while establishing reusable architectures and engineering standards for complex production implementations.
ABOUT THE TEAM
AI Enablement helps Safe Software adopt AI effectively and responsibly. The team builds shared capabilities, platforms, and engineering standards while enabling departments to deliver AI solutions aligned with common security and governance practices.
WHAT YOU'LL BE DOING
- Design, build, evaluate, deploy, and operate end-to-end AI/ML systems in production, spanning data preparation, model development, training or fine-tuning, integration, application logic, monitoring, and continuous improvement.
- Architect and build agentic and multi-agent systems, including orchestration, task routing, shared state, tool use, agent handoffs, human oversight, and failure recovery.
- Design and build enterprise knowledge and retrieval systems across structured and unstructured data, using data pipelines, embeddings, hybrid search, reranking, metadata, and access-controlled retrieval.
- Integrate AI solutions with enterprise applications, APIs, databases, data platforms, and governed tools.
- Establish automated testing, evaluation, and observability practices covering task success, model and retrieval quality, hallucination risk, tool execution, safety, latency, cost, drift, and regression.
- Design secure and responsible AI systems with least-privilege access, auditability, sensitive-data protection, and safeguards against prompt injection, data leakage, and unauthorized actions.
- Create reusable architectures, libraries, and engineering standards, and provide cross-functional technical leadership through design reviews, mentoring, and stakeholder collaboration.
- Evaluate emerging Large Language Models, frameworks, and platforms and make evidence-based adoption recommendations.
QUALIFICATIONS, SKILLS, AND COMPETENCIES
WHAT WE'RE LOOKING FOR
- 8+ years across software engineering and AI/ML, including 3+ years building and operating AI/ML systems in production at scale.
- Strong software engineering skills, particularly in Python or comparable backend technologies.
- Experience developing, adapting, fine-tuning, evaluating, deploying, and monitoring AI or machine learning models.
- Applied AI experience in enterprise use cases such as chatbots, workflow automation, RAG, intelligent document processing, recommendation systems, or decision support.
- Strong understanding of generative AI, LLMs, retrieval systems, agent-based architectures, and applied machine learning.
- Experience with production data pipelines, APIs, model-serving infrastructure, testing, security, reliability, and observability.
- Ability to explain complex technical decisions and tradeoffs to engineering teams and business stakeholders.
NICE TO HAVE
- Experience with agent and workflow orchestration tools such LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent.
- Experience with vector databases, semantic or hybrid search, embeddings, and reranking.
- Experience with platforms such as Databricks, Snowflake, Amazon Bedrock, Microsoft Foundry/Azure AI, or equivalent.
- Familiarity with MCP, A2A, self-hosted or open-weight models, and hybrid AI architectures.
WHAT YOU CAN EXPECT
When you choose a career with Safe Software, you’re also choosing…
- Meaningful Work: Make a profound impact across our business, workplace and data integration product.
- A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support.
- Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives.
- Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe.
- Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to.
- Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year.
- Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period.
- Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption.
- Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program.
- An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team!
ABOUT SAFE SOFTWARE
Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity.
With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads.
Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team?
OUR COMMITMENT TO DIVERSITY AND INCLUSION
Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion.
We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status.
Should you require accommodations during the recruitment process, please contact hr_dept@safe.com.
NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING
At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role.
Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.
Location: Erevan, Armenia; Canberra, Australia; Vienna, Austria; Brussells, Belgium; Sarajevo, Bosnia and Herzegovina; Sofia, Bulgaria; Zagreb, Croatia; Prague, Czechia; Berlin, Germany; Athens, Greece; Rome, Italy; Dublin, Ireland; Kishinev, Moldova, Republic of; Budva, Montenegro; Bucharest, Romania; Tbilisi, Georgia; Warsaw, Poland; Bratislava, Slovakia; Astana, Kazakhstan; Beograd, Serbia
Workplace: remote
Senior Full-Stack Engineer
About the Role
We are looking for Senior Full-Stack Engineer with strong experience across React/TypeScript frontend development and Node.js/TypeScript backend systems. This is a long-term, fully remote opportunity within a fast-moving fintech environment, working EST hours.
The ideal candidate is proactive, asks thoughtful questions, and builds reliable, maintainable systems. The team actively uses AI coding tools such as Claude, so candidates must be comfortable using them and explaining their technical decisions.
Responsibilities
Build and maintain production-grade React,
Node.js
, and TypeScript applications.
Develop backend services, APIs, integrations, and server-side validation.
Manage PostgreSQL schemas, migrations, queries, indexes, and performance.
Write unit, integration, and end-to-end tests.
Design scalable systems using caching, queues, and background jobs.
Improve legacy code and contribute to ongoing technical remediation.
Collaborate with the team and clearly communicate technical decisions.
7+ years of professional software engineering experience.
Strong, recent React, Node.js, and TypeScript experience.
True full-stack expertise; primarily frontend candidates will not be considered.
Hands-on PostgreSQL experience, including migrations and indexing.
Production experience with AWS; ECS/Fargate, containers, S3, and CloudFront are preferred.
Experience with system design, third-party integrations, and end-to-end testing.
Comfortable using AI coding tools such as Claude.
Strong English and Russian communication skills.
Fintech or payments experience is preferred, including knowledge of ACH, reconciliation, compliance, and idempotency.
УдалённоseniorErevan, Armenia; Canberra, Australia; Vienna, Austria; Brussells, Belgium; Sarajevo, Bosnia and Herzegovina; Sofia, Bulgaria; Zagreb, Croatia; Prague, Czechia; Berlin, Germany; Athens, Greece; Rome, Italy; Dublin, Ireland; Kishinev, Moldova, Republic of; Budva, Montenegro; Bucharest, Romania; Tbilisi, Georgia; Warsaw, Poland; Bratislava, Slovakia; Astana, Kazakhstan; Beograd, Serbia
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The
Reddit Consumer Engineering
organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Backend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit.
This centralized role hires across several high-impact consumer teams, including:
Core Product & Feeds:
Home Experience, Recommendations & Content Discovery, Contribution
Community & Presence:
Reddit Pro, Youth Experience & Teen Safety, Creator Tools
Growth & Engagement:
Authentication, Notifications, Social Sharing, SEO, Onboarding.
Monetization & Conversion:
Paid User Acquisition, Conversion Funnel Optimization
Identity & Security:
Account Management, Trust & Safety
What You’ll Do
Product & Engineering Execution:
Partner closely with cross-functional partners in product, design, and platform engineering to execute on product strategy and build novel, user-centric media features.
Full-Lifecycle Development:
Drive the complete development lifecycle—from technical design and architectural proposals to implementation, unit/integration testing, experimentation, performance analysis, and deployment.
Quality & Velocity:
Move fast while maintaining high quality standards through thorough code reviews, detailed design doc evaluations, and constructive feedback on product specs and UI mocks.
Mentorship & Engineering Standards:
Help establish developer workflows, champion best practices, and mentor junior and mid-level engineers to elevate technical excellence across the team.
Who You Are
Product-Minded Engineer:
You bridge the gap between technical metrics and user experience, understanding how low-level optimizations impact real-world user engagement and product quality.
Pragmatic Builder:
You strike the right balance between rapid iteration and architectural rigor, delivering scalable solutions without getting bogged down by unnecessary processes.
Effective Collaborator:
You excel in communicating complex technical concepts clearly to both technical and non-technical stakeholders.
Continuous Learner:
You have a deep curiosity for emerging technologies and actively keep up with modern industry trends, standards, and performance optimizations.
Technical Qualifications
Frontend Expertise:
Strong proficiency in modern web stacks, including JavaScript, TypeScript, React, and Next.js, with a proven track record of translating complex designs into responsive, production-grade applications.
API & System Design:
Demonstrated experience designing, building, and maintaining robust APIs using protocols such as REST, GraphQL, gRPC, HTTP, or Thrift basics.
Education:
Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$164,200
—
$229,900 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Colombia
Workplace: remote
Remote, Colombia, Full Time, Individual Contributor, 1 year of experience
Who We Are
At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market. Founded by seasoned experts from the payments and tech industries, our technology provides access to leading payment capabilities, enabling companies to engage customers confidently and maintain global operations through seamless integrations. We empower high-performing teams at brands like InDrive, McDonald's, Rappi, and Viva Aerobus to integrate over 1,000 payment methods via a single API. By leveraging advanced AI and the latest technologies, we orchestrate smart routing and fraud prevention across 80+ countries.
About The Role
We are orchestrating the best high-performing team!
We're looking for a Technical Support Analyst to join our Global Customer Success organization — the frontline that keeps our global payment operations running without a hitch. This is a role for someone who genuinely loves solving technical puzzles and takes pride in being the first line of defense for our clients.
In this position, you will build and maintain real-time monitoring systems, respond to critical incidents, and work alongside backend teams to diagnose and resolve issues fast. Every action you take directly protects the reliability our clients depend on. We hold ourselves to a high standard — every payment matters, every client interaction is an opportunity to deliver something exceptional — and we expect the same from the people on this team.
This role demands curiosity and a constant drive to get better. The payments ecosystem moves fast, and you will be expected to adapt, grow, and bring fresh ideas to improve how we operate. If you're someone who sees an ambiguous situation as an opportunity rather than an obstacle, you'll thrive here.
If you're passionate about technology, eager to deepen your backend knowledge, and committed to building systems that scale — we want to hear from you.
Your contribution will be
Implement and maintain a robust real-time monitoring system that ensures full visibility into critical workflows before incidents escalate
Provide top support to clients, acting as the main line of defense to address issues, answer queries, and escalate critical incidents when necessary
Assist backend teams with scripting, bug reproduction, log analysis, and basic API testing
Create and standardize operational processes that enable scalability and consistent service quality
Analyze recurring issues and propose data-driven improvements to position the NOC as a strategic function
Ensure continuous operational coverage with well-structured shift handovers
Participate in some development activities to build hands-on backend knowledge
Identify gaps in current tools and workflows and bring solutions to the table
Skills You Need
Minimum Qualifications
Fluent English (written and verbal)
1 year of experience in technical support, NOC operations, or a similar role
Basic knowledge of monitoring tools and alerting systems
Coding experience — scripting, debugging, or log analysis
Familiarity with APIs and ability to assist users with integration or connectivity issues
Strong analytical and problem-solving mindset
Customer empathy and a service-oriented approach
Comfort working in fast-paced, high-stakes environments
What We Offer at Yuno
Competitive Compensation
Remote Work – You can work from everywhere!
Home Office Bonus – A one-time allowance to help you create your ideal home office.
Work Equipment
Stock Options
Health Plan wherever you are.
Flexible Days Off
Location: Ukraine
Workplace: remote
Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are looking for a
Mobile Developer
to join Creatio’s Mobile Domain team and help build product experiences for users who work on the go.
You will work on a cross-platform mobile solution built with Flutter and integrated with native Android and iOS applications. The role combines cross-platform development, native integrations, offline scenarios, and reusable configurable components within Creatio’s metadata-driven platform.
This is a hands-on engineering role with ownership at the feature and component level. You will design and deliver features end to end while working with modern engineering approaches, including AI-assisted and agentic development.
Responsibilities:
Design and implement mobile features end to end across Flutter and native Android/iOS layers.
Build reusable components and business features using native device capabilities, REST APIs, and offline scenarios.
Own the technical design and quality of delivered features, including data flow, edge cases, and testing.
Develop integrations between cross-platform and native functionality using platform channels.
Investigate and resolve production issues, including platform-specific, performance, and synchronization problems.
Review code and contribute to engineering guidelines, reusable components, and internal tooling.
Participate in technical research, prototyping, and validation of new capabilities.
Mentor middle and junior engineers through reviews, pairing, and knowledge sharing.
Collaborate with Tech Lead, Engineering Manager, QA, and Product teams to define workable technical solutions.
Occasionally contribute to backend (.NET/C#) or web (Angular/TypeScript) components.
Contribute to AI-assisted and agentic engineering practices within the team.
Requirements:
Must have
4+ years of professional software development experience, including 3+ years in mobile development.
Strong hands-on experience with Flutter and Dart.
Experience integrating cross-platform modules with native Android/iOS applications and working with platform-specific functionality.
Hands-on experience with JavaScript and TypeScript.
Good understanding of state management and unidirectional data flow, such as BLoC.
Solid knowledge of Clean Architecture, SOLID principles, dependency injection, and modular design.
Experience with REST APIs, JSON, local persistence, and offline/synchronization scenarios.
Familiarity with at least one native mobile technology: Java, Kotlin, Objective-C, or Swift.
Strong testing practices, including unit and widget testing.
Experience with Git, CI/CD, automated testing, and static analysis.
Practical exposure to AI-assisted development and agentic workflows, or strong interest in this area.
English level: Upper-Intermediate (B2) or higher.
Nice to have
Backend (C#/.NET) or web (Angular/TypeScript) experience for occasional full-stack contributions.
Experience with SDK development, packaging, linting, and unit testing.
Experience with metadata- or schema-driven UI.
Background in CRM, ERP, field service, or other data-heavy enterprise mobile applications.
Experience with native device capabilities and integrations (e.g. geolocation, camera, push notifications, OAuth/SSO), real-time communication, analytics, accessibility, and localization.
Experience with enterprise mobility, including MDM/MAM, enterprise distribution, and corporate security requirements.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Poland
Workplace: remote
Creatio is a global vendor of an agentic CRM & workflow platform with no-code and AI at its core. We help organizations automate customer and operational workflows achieving the fastest time-to-value and the highest ROI on the market. Millions of workflows run on Creatio daily, supporting thousands of clients in over 100 countries. Genuine care for our clients and partners is at the heart of our DNA.
We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.
In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.
Who We’re Looking For:
We are looking for a
Mobile Developer
to join Creatio’s Mobile Domain team and help build product experiences for users who work on the go.
You will work on a cross-platform mobile solution built with Flutter and integrated with native Android and iOS applications. The role combines cross-platform development, native integrations, offline scenarios, and reusable configurable components within Creatio’s metadata-driven platform.
This is a hands-on engineering role with ownership at the feature and component level. You will design and deliver features end to end while working with modern engineering approaches, including AI-assisted and agentic development.
Responsibilities:
Design and implement mobile features end to end across Flutter and native Android/iOS layers.
Build reusable components and business features using native device capabilities, REST APIs, and offline scenarios.
Own the technical design and quality of delivered features, including data flow, edge cases, and testing.
Develop integrations between cross-platform and native functionality using platform channels.
Investigate and resolve production issues, including platform-specific, performance, and synchronization problems.
Review code and contribute to engineering guidelines, reusable components, and internal tooling.
Participate in technical research, prototyping, and validation of new capabilities.
Mentor middle and junior engineers through reviews, pairing, and knowledge sharing.
Collaborate with Tech Lead, Engineering Manager, QA, and Product teams to define workable technical solutions.
Occasionally contribute to backend (.NET/C#) or web (Angular/TypeScript) components.
Contribute to AI-assisted and agentic engineering practices within the team.
Requirements:
Must have
4+ years of professional software development experience, including 3+ years in mobile development.
Strong hands-on experience with Flutter and Dart.
Experience integrating cross-platform modules with native Android/iOS applications and working with platform-specific functionality.
Hands-on experience with JavaScript and TypeScript.
Good understanding of state management and unidirectional data flow, such as BLoC.
Solid knowledge of Clean Architecture, SOLID principles, dependency injection, and modular design.
Experience with REST APIs, JSON, local persistence, and offline/synchronization scenarios.
Familiarity with at least one native mobile technology: Java, Kotlin, Objective-C, or Swift.
Strong testing practices, including unit and widget testing.
Experience with Git, CI/CD, automated testing, and static analysis.
Practical exposure to AI-assisted development and agentic workflows, or strong interest in this area.
English level: Upper-Intermediate (B2) or higher.
Nice to have
Backend (C#/.NET) or web (Angular/TypeScript) experience for occasional full-stack contributions.
Experience with SDK development, packaging, linting, and unit testing.
Experience with metadata- or schema-driven UI.
Background in CRM, ERP, field service, or other data-heavy enterprise mobile applications.
Experience with native device capabilities and integrations (e.g. geolocation, camera, push notifications, OAuth/SSO), real-time communication, analytics, accessibility, and localization.
Experience with enterprise mobility, including MDM/MAM, enterprise distribution, and corporate security requirements.
What to expect from us:
Growth & Development:
Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.
Flexibility & Well-Being:
We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.
Recognition & Impact:
A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.
Innovative Culture:
Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.
Benefits & Rewards Package:
We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Задачи:
• Разрабатывать и поддерживать автоматизированные тесты на C# для backend и frontend/UI;
• Проводить функциональное, интеграционное и регрессионное тестирование;
• Тестировать REST API, backend-сервисы и интеграции (включая микросервисы и Kafka);
• Поддерживать и перерабатывать существующие BDD- и автоматизированные тесты, повышая их стабильность;
• Анализировать результаты, локализовывать дефекты и взаимодействовать с разработчиками;
• Развивать процессы автоматизации (интеграция автотестов в CI/CD, работа с инфраструктурой Docker/Kubernetes).
Требования:
• Обязательное физическое нахождение на территории РФ (рассматриваются граждане РФ и РБ);
• Опыт работы в тестировании (QA / QA Automation) от 3 лет;
• Практический опыт разработки автоматизированных тестов на C#;
• Совмещение ручного и автоматизированного подходов к тестированию;
• Практический опыт тестирования REST API и backend-сервисов;
• Опыт интеграционного тестирования, понимание клиент-серверной архитектуры;
• Уверенное владение SQL для работы с БД;
• Опыт тестирования frontend/UI.
Будет плюсом:
• Опыт работы с микросервисной архитектурой;
• Знание SOAP, Kafka, CI/CD, Docker и Kubernetes;
• Опыт работы с BDD и существующими фреймворками автоматизации;
• Готовность к различному соотношению manual/automation в зависимости от задач.
Условия:
• Официальное оформление;
• Фиксированный оклад + квартальные бонусы (обсуждается индивидуально);
• Удаленная работа из РФ или офис с предоставлением оборудования;
• Гибкий график работы без микроменеджмента;
• ДМС со стоматологией.
УдалённоmiddleГеография найма не уточнена, офис: Москва
Задачи:
— Писать автотесты для фронтовой части - WEB, интеграционные API для backend микросервисов, нагрузочные тесты;
— Интегрировать результаты тестов в Allure, TestOps;
— Внедрять автотестирование в сборочные цепочки CI/CD;
— Работать с Docker для организации тестирования интеграции компонентов;
— Работать с ИИ моделями для автоматизации тестирования.
Требования к кандидату:
— Гражданство и локация РФ/РБ;
— Высшее техническое образование;
— Владение языком программирования Java 11 и выше;
— Уверенное знание RestAssured, Playwright framework, Docker/Kubernetes, Allure;
— Опыт работы с CI/CD (Argo CD);
— Уверенное знание Git;
— Опыт работы с системами логирования;
— Опыт работы с ИИ для автоматизации тестирования;
— Практический опыт работы в продуктовых командах на высоконагруженных проектах от 3-х лет;
— Преимуществом будет опыт работы в финтехе: в банке, инвестиционной компании, брокере, управляющей/страховой компании или на проектах системных интеграторов для таких финансовых компаний.
Условия:
— Удалённая работа.
Задачи:
— Проектировать и развивать архитектуру системы на всех уровнях
— Выстраивать интеграции с внешними и внутренними системами
— Разбираться в legacy-коде и чужих системах
— Проектировать и реализовывать функционал от базы данных до интерфейса
Требования:
— Опыт коммерческой разработки от 3 лет
— Сильные знания backend-разработки, желательно Node.js / TypeScript, Python или сопоставимый стек
— Уверенная работа с PostgreSQL / SQL, проектирование и оптимизация баз данных
— REST API, WebSocket, интеграции и обмен данными
— Понимание React / TypeScript и современной frontend-разработки
— Git, Docker, Linux, CI/CD
— Redis, очереди сообщений, фоновые задачи и кэширование
— Понимание микросервисной и event-driven архитектуры
— Понимание безопасности, авторизации, логирования и мониторинга
Условия:
— Официальное трудоустройство согласно ТК РК
— Возможность выстроить архитектуру медицинской информационной системы группы компаний практически с нуля и влиять на выбор технологического стека
— Работа в связке с главным менеджером по цифровизации и IT-отделом группы компаний
— Перспективы профессионального и карьерного роста внутри группы компаний
Задачи:
– Разрабатывать Android-функциональность нового AI-продукта Нового мобильного приложения.
– Реализовывать экраны и пользовательские сценарии на Kotlin и современном Android-стеке.
– Развивать переиспользуемые Android-компоненты, библиотеки и SDK для быстрого внедрения продуктовой функциональности.
– Работать с чатом и ИИ-помощником: асинхронные ответы, история сообщений, загрузка документов, ошибки и запасные сценарии.
– Разрабатывать UI риск-профиля и медицинских данных: анкеты, карточки, графики, объяснения, доверие и согласия.
– Интегрироваться с backend/API, авторизацией, аналитикой, фича-флагами и наблюдаемостью.
– Участвовать в развитии многомодульной архитектуры Android-приложения и границ между feature/platform/core слоями.
– Оптимизировать CI/CD, Gradle-конфигурации и скорость сборки там, где это влияет на поставку команды.
– Учитывать ограничения мобильных релизов: обратную совместимость, поэтапный раскат, регресс, работу на разных версиях Android.
– Писать тестируемый код, участвовать в код-ревью, декомпозиции и обсуждении API-контрактов.
– Работать в кросс-функциональной команде с Product, Backend, iOS, QA, SA, Design и ML.
Требования:
– Уверенный Kotlin.
– Kotlin Coroutines / Flow: SharedFlow, StateFlow, operators, scopes, lifecycle, cancellation, structured concurrency, error handling.
– Архитектура Android-приложений: Clean Architecture, UDF/MVI/TEA или близкие подходы, separation of concerns.
– Jetpack Compose для новых экранов; понимание interoperability с legacy View при необходимости.
– Навигация, управление состоянием, работа с UI-состояниями загрузки, пустого экрана, ошибки и контента.
– Сетевой слой: REST, авторизация/сессия, повторы запросов, маппинг ошибок, работа без сети или при плохой сети.
– Работа с локальным хранением и кэшированием: Room/DataStore/SharedPreferences или аналоги.
– Многомодульные Android-проекты: понимание влияния модулей на время сборки, границ API, api/impl-подхода и изоляции зависимостей.
– Gradle: dependency configurations, implementation vs api, version catalogs, основы convention plugins.
– Опыт работы с CI/CD для Android: сборки, проверки, тесты, артефакты, ускорение обратной связи.
– Качество мобильного продукта: жизненный цикл приложения, push-уведомления, диплинки, разрешения, аналитика, crash reporting.
– Тестирование: unit tests для ViewModel/use cases/services, UI tests как плюс.
– Готовность к релизу: фича-флаги, обратная совместимость, поэтапный раскат, регрессионные проверки.
– Умение работать с Backend, ML, Product, QA, SA, iOS и Design.
Location: Bengaluru, Karnataka, India, APAC
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a talented Senior Software Engineer with a passion for building enterprise grade software to join the team. You will be focusing on developing world-class enterprise capabilities and features in support of our largest and most sophisticated customers. The work we do is both highly visible and critically important to the long term growth and success of Fivetran. You will have an impact across the entire product as we develop our next generation of enterprise, data governance, and solutions engineering offerings.
This team is tasked with evolving a high performance extract-load-transform data integration system that enables our connector teams to ship the Fivetran ELT product using powerful abstractions. The role will challenge you to solve problems in the domains of performance engineering, data security, and cluster orchestration. You don’t necessarily need to be a subject matter expert before you join us (you will be one before you leave!).
We're looking for people who can understand the key values that make our product great and implement those values in the many small decisions you make every day.
This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team
Technologies You’ll Use
Java
SQL
Bazel, BuildKite, Docker, Kubernetes, Github
AWS, GCP, Azure
Postgres database
What You’ll Do
Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability.
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems.
Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices.
Experience working with distributed systems and cloud security concepts
Demonstrated ability to write well-structured and performant code
Ability to lead software and infrastructure design to satisfy project requirements
Can identify design flaws in existing systems and come up with improvements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s.
Experience interacting with continuous integration tools like Buidkite.
Knowledge of observability tools like New Relic/Grafana is a plus
Knowledge of Data Engineering is a plus
Optional (Bonus Skills)
Experience in data processing (ETL, ELT) and/or cloud-based platforms.
#LI-HYBRID
#LI-PE1
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
New York, New York, United States; For applicants from the European Union, please review
Hybrid - San Francisco, New York City
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