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Знайдіть роботу своєї мрії в екосистемі Laravel

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Full-time 7 дн. тому

Backend Engineer

AppsFlyer Kyiv За результатами співбесіди

AppsFlyer is known for its massive backend production. At any given moment thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests and communicating on a massive scale. To maintain the universe we call AppsFlyer, we practice modern production operations with a complete self-serve CI/CD platform, a highly integrated observability stack for our micro-services, backends, and infrastructure, a culture of ownership and eagerness for quality. The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission tailored analytical databases and carefully crafted APIs we are able to provide slice and dice analysis in our beautiful dashboards and through the use of external integrations. Our group mixes disciplines from back-end, data, AI and front-end engineers and we’re looking for great Data-Oriented Backend Engineer developers that are passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goal: to be the best analytics suite in our business market. What You'll Do - Develop end-to-end, both client-facing and data infrastructure features, from data processing to database choice and modeling implementation Collaborate with product managers and software engineers to deliver complex products. Analyze and improve performance, scalability and stability of our systems, environments and tools. If you're up to the challenge - Speak at meetups, write blog posts, speak at conferences, contribute to existing open source projects and release new open source software. What You Have - 3+ years of development experience with a passion for excellence Experience in data engineering with a focus on Apache and Scala-Spark / py-spark) Experience with high throughput, low latency, mission-critical distributed systems Great communication skills in English B.Sc. in Computer Sciences or an equivalent. Bonus Points - Experience with large-scale production databases Experience with Airflow Strong server-side skills. Experience production grade BigQuery ETL and DBs. Experience with production grade GO BE services. Experience with production grade Clojure BE services. An “AI mindset”: stays up to date with the AI landscape, explores tools like Cursor or GitHub Copilot, and looks for ways to boost productivity through AI Recommended by an AppsFlyer employee Benefits Package Includes - Health Insurance Paid Unlimited Vacation Days + all national holidays + additional recharge days Meals Reimbursement Sport Reimbursement Breakfast in the office Mental health program Team building, happy hours, and other team activities Paid sick days Snacks, fruits & ice cold beer All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners. “As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO

Full-time 21 дн. тому

AI-Native Fullstack Engineer - Tech Lead

Trinetix Kyiv За результатами співбесіди

About the team: You'll run a small group inside our R&D function whose mission is to validate new product bets quickly. We move from "is this worth building?" to a working prototype in weeks, not quarters. You set the research direction, decide what to build and how, and lead the team to get it in front of users and stakeholders fast. This is a builder-leader role: roughly hands-on coding alongside the team, with the rest spent on strategy, planning, and unblocking people. What you'll do: - Own the technical vision and execution for a portfolio of PoCs, from initial research through working prototype. Lead a small engineering team - set direction, review work, grow people, and keep the group focused and motivated. Run lightweight research: scope a problem, survey the landscape, form a hypothesis, and define what a successful prototype must prove. Translate fuzzy ideas into concrete plans with clear milestones, then execute against them. Build fullstack - backend services, frontends, data pipelines, and the glue between them. Work AI-first: use AI tooling to accelerate development, and build products that embed LLMs, agents, retrieval, and related techniques where they create real value. Make pragmatic build-vs-buy and "good enough for a PoC" calls, balancing speed against the parts that need to be solid. Partner with product, design, and leadership to decide which bets graduate from prototype to product. What we're looking for: - Proven technical leadership - has led a team or owned a major workstream, set technical direction, made the call on what to build, and shipped through others. You can run lightweight research, turn a fuzzy idea into a plan with clear milestones, and keep a small group focused and motivated. (Formal management title not required; the instinct and track record are.) Strong fullstack engineering with real AI-building depth - production experience across backend and frontend in at least two of C#, Python, and JavaScript/TypeScript (comfortable picking up the third), and a genuinely AI-native way of working: fluent with AI dev tools and hands-on experience building LLM-powered products (prompting, RAG, agents, evals). This is the builder half of a builder-leader - you'll write the first prototype yourself. Genuinely self-directed and motivated - thrives with ambiguity, defines the problem when no one hands it to them, and drives it to a result. Also required - pragmatic, not deep: - Cloud experience (AWS, Azure, or GCP) and enough DevOps to ship - CI/CD, containers, getting a prototype deployed, observable, and demo-able. PoC-grade is fine; you don't need to be an infra specialist. Valued, but not a dealbreaker: - Working understanding of ETL/ELT, data warehouses, and lakehouse concepts - enough to design a sensible pipeline and reason about how data flows through a prototype. Hands-on data engineering depth is a bonus, not a requirement. Nice to have: - Experience taking a 0→1 product or prototype to real users or market validation. A standout specialty (distributed systems, ML/AI, frontend architecture, or data engineering) on top of the breadth. Background in a startup, R&D lab, or innovation team where speed and ownership were the norm. Familiarity with experiment design, rapid user testing, or other cheap ways to validate an idea. Who you are: You're equally comfortable whiteboarding a research plan, writing the first prototype yourself, and coaching a teammate through theirs. You'd rather ship something rough and learn than polish something no one needs. You can hold the big picture and the implementation detail at the same time, and people want to follow you because you bring clarity and momentum. What we offer: - Continuous learning and career growth opportunities Professional training and English/Spanish language classes Comprehensive medical insurance Mental health support Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more Flexible working hours Inclusive and supportive culture About Us: Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world. Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture. Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics. To learn more about how we collect, process, and store your personal data, please review our Privacy Notice: https://www.trinetix.com/corporate-policies/privacy-notice