Вакансии

Location: London 500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job Millions of people trust Flo with their most personal health data. As our Security Architect, you’ll make sure we deserve that trust. This is a hands-on individual contributor role. You’ll work side by side with engineering, product and platform teams to shape secure architectures and build the guardrails that let both humans and AI coding agents ship quickly and safely. The role combines security architecture, product and application security engineering and security risk expertise: you will set secure patterns and standards, lead threat modelling and design reviews, embed security into the SDLC and CI/CD, and translate security risk into clear, pragmatic decisions. What you’ll do Shape secure architecture from day one. Partner with teams early in design, lead security design reviews for new services and major changes, and record key decisions and risk trade-offs. Build security harnesses for human and AI-agent development. Design guardrails, sandboxing, least-privilege access for agents and tools, secrets handling, policy-as-code and automated checks that run inside developer and agent workflows. Lead on AI and agentic security. Define secure patterns for LLM integrations, MCP servers and tool use, and tackle risks like prompt injection, data leakage, excessive agency and supply-chain compromise. Create paved roads. Publish reusable patterns, reference architectures and standards that teams adopt because they’re the easiest option. Scale threat modelling. Build tools and skills that let engineers run threat models themselves, and carry out internal security assessments. Remove whole classes of vulnerabilities. Automate vulnerability triage and investigation, find systemic root causes, and feed the fixes back into patterns and guardrails. Turn risk into clear decisions. Explain security risk in pragmatic terms so the business can prioritise based on risk and value. Advise and enable. Be a trusted partner to engineering, product and leadership, coach engineers, and help evaluate third-party and AI tools so they can be adopted securely. Support ISO 27001/27701 so that controls are built into how we engineer, not bolted on afterwards. What you’ll bring 7+ years in security engineering, application/product security or security architecture, including hands-on work securing cloud-native systems Deep knowledge of Secure SDLC: threat modelling, security testing, app security review and CI/CD security Hands-on experience with AWS and Cloudflare (or equivalents) and Terraform or similar IaC A strong grasp of the OWASP Top 10 and the ability to assess exploitability and impact Solid coding skills (e.g. Python, Go, Scala) and experience building security tooling or automation Practical understanding of the risks in AI-assisted and agentic development and LLM applications (e.g. OWASP Top 10 for LLMs) Experience with security risk analysis and risk management methods The ability to explain trade-offs clearly to engineers and senior stakeholders, and to win people over Nice to have Experience building guardrails, sandboxes or policy-as-code (e.g. OPA) for developer platforms or AI coding agents iOS or Android security experience Experience with ISO 27001, ISO 27701 or SOC 2 audits A background in health tech, femtech or another regulated, privacy-sensitive industry Certifications or degrees such as CISSP, CCSP, OSCP or an MSc in Information Security Why Flo You’ll protect data that matters deeply to millions of people. You’ll also help set the standard for how a company adopts agentic engineering safely, and you’ll have real ownership: you design and build the first version, then hand it off to the teams who will run it. Annual Salary Range (ranges may vary based on skills and experience) £100,000 — £130,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here’s what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo’s performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents Accelerated professional growth through world-changing work and learning support In-person collaboration and work in a hybrid model, with 3 days per week spent in the office 5-week fully paid sabbatical at 5-year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants .

Location: Remote - India Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Staff engineer (L4) on Twilio’s Segment, Data Pipelines team. About the job As a Staff Engineer on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll be designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP). Responsibilities In this role, you’ll: Design and deliver robust, high-scale routing experiences for the Data platform/ pipelines team for Twilio Segment. Ship features that opt for high availability and throughput with eventual consistency Collaborate with engineering and product leads, as well as teams across Twilio Segment Support the reliability and security of the platform Build and optimize globally available and highly scalable distributed systems Be able to act as a team Tech Lead as needed Mentor other engineers on the team in technical architecture and design Partner with application teams to deliver end to end customer success. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Hands-on experience with high-scale messaging/streaming systems (several thousand events/sec) and processing engines ( 1M+ events/sec). 8+ years of experience writing production-grade code in a modern programming language Strong theoretical fundamentals and hands-on experience designing and implementing highly available and performant fault-tolerant distributed systems. Experience programming in one or more of the following: Go, Java, Scala, or similar languages Well-versed in concurrent programming, along with a solid grasp of Linux systems and networking concepts. Experience operating large-scale, distributed systems on top of cloud infrastructure such as Amazon Web Services (AWS) or Google Cloud Platform (GCP) Experience in message passing systems (e.g., Kafka, AWS Kinesis) and/or modern stream processing systems (e.g., Spark, Flink). Have hands-on experience with container orchestration frameworks (e.g. Kubernetes, EKS, ECS) Leverage best-in-class development productivity practices including AI tooling. Experience shipping services (products) following CI/CD development paradigm. Deep understanding of architectural patterns of high-scale web applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms) Desired: Ideally domain expertise in the Modern Data stack with experience in developing cloud-based data solution components and architecture covering data ingestion, data processing and data storage Have a track record of successfully leading teams, large projects, or owned and built an important, complex system end to end, delivered iteratively. Excellent written and verbal technical communication skills to convey complex technical concepts effectively.Comfortable asking questions and taking initiative to solve problems where it is often necessary to “ draw the owl ” Location This role will be based in any of the permitted 5 India states (Delhi, Karnataka, Maharashtra, Telangana & TamilNadu) Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: South Africa; Philippines; Morocco; Egypt; Germany; United Kingdom About Huzzle At Huzzle, we connect exceptional talent with exciting opportunities at leading companies across the UK, US, Canada, Europe, and Australia. We work with a diverse range of clients, including startups, digital agencies, and technology-driven businesses across industries such as SaaS, MarTech, FinTech, and AI. Unlike traditional outsourcing agencies, we place you directly with our clients, where you become an integral, in-house member of their team. Job Type: Full-time Location: Remote Job Summary As a Data Engineer, you will play a key role in designing, developing, and maintaining scalable data pipelines and infrastructure. You will collaborate with data analysts, data scientists, software engineers, and business stakeholders to ensure data is reliable, accessible, and of high quality across the organisation. This is a great opportunity for professionals who enjoy tackling complex data challenges and building robust systems that power business intelligence, analytics, and machine learning initiatives. Key Responsibilities Design, build, and maintain scalable ETL and ELT data pipelines. Develop and optimize data architectures, databases, and data warehouses. Integrate data from various sources, APIs, and third-party platforms. Maintain data quality, accuracy, consistency, reliability, and security. Monitor, troubleshoot, and improve data pipelines and workflows. Work closely with analytics, engineering, and business teams to identify and meet data requirements. Establish data governance standards and best practices for data management. Improve data storage, processing speeds, and query performance. Support business intelligence, reporting, and analytics projects. Maintain documentation of data models, workflows, and technical processes. Requirements 2+ years of experience in data engineering, data warehousing, or a similar field. Strong SQL skills and a solid understanding of database management. Proficiency in Python, Java, Scala, or other relevant programming languages. Practical experience with ETL/ELT tools and building data pipelines. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform. Hands-on experience with modern data warehouse solutions such as Snowflake, Redshift, BigQuery, or Databricks. Knowledge of workflow orchestration tools such as Airflow or Prefect. Understanding of data modelling, governance, and data quality best practices. Experience handling large datasets and working with distributed systems is an advantage. Strong analytical thinking, problem-solving, and communication abilities. Comfortable working independently while collaborating with a remote team. Benefits 💰 Competitive compensation: Tailored to your experience, technical skills, and location. 🌎 Fully remote work: Enjoy the flexibility to work from anywhere. 🚀 Career development: Join innovative companies and contribute to meaningful, high-impact projects. 📈 Long-term potential: Grow your career alongside ambitious, expanding global organisations. 🧠 Ongoing learning: Gain exposure to emerging data technologies, cloud platforms, and large-scale data environments. 🤝 Collaborative environment: Work with skilled engineers, analysts, and business stakeholders. ⚙️ Modern tech stack: Work with cutting-edge data tools, technologies, and cloud-based solutions.

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Engineer II, JVM San Mateo, CA The Data Engineering Team fuels real-time, intelligent data insights for PlayStation’s Cloud Streaming offering. In this role, you’ll collaborate closely with teams across PlayStation to deliver a scalable and reliable data platform that drives a data-first culture and outlook. As a Data Engineer II, you will develop and maintain server-side applications for shaping, managing, and transforming data on a large geographically distributed infrastructure for PlayStation. Your work will include developing JVM based applications using Kotlin, Scala, or Java, Flink jobs, and APIs to provide real time data and insights across the Cloud Streaming ecosystem to ensure seamless data flow throughout our data pipeline. You will also work closely with our Business Intelligence team to translate product requirements to usable insights that fuel our business decisions. You bring passion and expertise to continuously improve the value that our data platform provides to data producers and consumers across the organization, providing tooling, standard methodologies, and state-of-the art technology to empower data-driven decisions to the company. You are self-motivated and thrive in a distributed team environment - comfortable taking initiative, handling your own work, and collaborating effectively across time zones and communication channels, embodying our one team mantra! Responsibilities Design and implement middleware and backend systems capable of handling high throughput and load Develop and maintain stream processing jobs using Flink (stateful / stateless), and implement scalable ETL jobs that enable our partners and customers to glean intelligent insight Optimize performance, reliability, and monitoring of the data pipeline stack Support migration efforts of our on-premises Kafka to new cloud technologies Perform in-depth analysis of functional or business requirements Contribute to architectural decisions for PlayStation’s cloud streaming data pipeline Liaise with Business Intelligence and product domain teams to help turn data into information, and information into business value Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field or equivalent practical experience 3+ years of experience in software development and backend engineering developing and maintaining high throughput and concurrent systems with high availability and fault tolerance Proficient in JVM Languages (Kotlin, Scala, Java) and Python Experience with Apache Kafka, Flink, Spark, and SQL Knowledge of software paradigms like functional programming, object oriented programming, TDD Knowledge of web technologies including REST, JSON, gRPC, and WebSockets Expertise on data structures (JSON, Avro, Protobuf) as well as unstructured and semi-structured data Experience with ETL, stream processing, real-time pipelines, and batch processing Familiarity with software development tools and processes like Git and CI/CD Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance and scalability Self-motivated, strong interpersonal and communication skills; ability to work with geographically remote teams Experience with Amazon Web Services at enterprise scale including, but not limited to, OpenSearch, MSK, and EKS is a plus Experience with Kubernetes, Docker, and cloud deployment technologies is a plus At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $163,700 — $245,500 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Data Engineer II, JVM San Diego, CA The Data Engineering Team fuels real-time, intelligent data insights for PlayStation’s Cloud Streaming offering. In this role, you’ll collaborate closely with teams across PlayStation to deliver a scalable and reliable data platform that drives a data-first culture and outlook. As a Data Engineer II, you will develop and maintain server-side applications for shaping, managing, and transforming data on a large geographically distributed infrastructure for PlayStation. Your work will include developing JVM based applications using Kotlin, Scala, or Java, Flink jobs, and APIs to provide real time data and insights across the Cloud Streaming ecosystem to ensure seamless data flow throughout our data pipeline. You will also work closely with our Business Intelligence team to translate product requirements to usable insights that fuel our business decisions. You bring passion and expertise to continuously improve the value that our data platform provides to data producers and consumers across the organization, providing tooling, standard methodologies, and state-of-the art technology to empower data-driven decisions to the company. You are self-motivated and thrive in a distributed team environment - comfortable taking initiative, handling your own work, and collaborating effectively across time zones and communication channels, embodying our one team mantra! Responsibilities Design and implement middleware and backend systems capable of handling high throughput and load Develop and maintain stream processing jobs using Flink (stateful / stateless), and implement scalable ETL jobs that enable our partners and customers to glean intelligent insight Optimize performance, reliability, and monitoring of the data pipeline stack Support migration efforts of our on-premises Kafka to new cloud technologies Perform in-depth analysis of functional or business requirements Contribute to architectural decisions for PlayStation’s cloud streaming data pipeline Liaise with Business Intelligence and product domain teams to help turn data into information, and information into business value Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field or equivalent practical experience 3+ years of experience in software development and backend engineering developing and maintaining high throughput and concurrent systems with high availability and fault tolerance Proficient in JVM Languages (Kotlin, Scala, Java) and Python Experience with Apache Kafka, Flink, Spark, and SQL Knowledge of software paradigms like functional programming, object oriented programming, TDD Knowledge of web technologies including REST, JSON, gRPC, and WebSockets Expertise on data structures (JSON, Avro, Protobuf) as well as unstructured and semi-structured data Experience with ETL, stream processing, real-time pipelines, and batch processing Familiarity with software development tools and processes like Git and CI/CD Track record monitoring and analyzing system performance, isolating issues or bottlenecks that could impact reliability, performance and scalability Self-motivated, strong interpersonal and communication skills; ability to work with geographically remote teams Experience with Amazon Web Services at enterprise scale including, but not limited to, OpenSearch, MSK, and EKS is a plus Experience with Kubernetes, Docker, and cloud deployment technologies is a plus At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $150,100 — $225,100 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco; New York City Workplace: Remote About Pinecone: Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. For more information, visit pinecone.io http://pinecone.io. What We Are Looking For: We are looking for individuals who are accustomed to solving the enterprise market’s most complex problems. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support Proof of Concepts, and ultimately close business. About the Role: As a Pinecone Solutions Engineer, you must share our passion about reinventing the Data Cloud space, thrive in a dynamic environment and have the flexibility and willingness to jump in and get things done. You are equally comfortable in both a business and technical context, interacting with officials and talking shop with technical audiences. In this role, you will: - Present Pinecone technology and vision to officials and technical contributors at prospects and customers - Work hands-on with prospects and customers to demonstrate and communicate the value of Pinecone technology throughout the sales cycle, from demo to proof of concept to design and implementation - Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Pinecone in relation to them. - Collaborate with Product Management, Engineering and Marketing to continuously improve Pinecone’s products and marketing Preferred Background: - 5-7 years of enterprise experience in a customer and prospect facing pre-sales role - Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos. - Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies - Hands-on expertise with SQL and SQL analytics - Ability to connect a customer’s specific business problems and Pinecone’s solutions - Broad knowledge of cloud platforms; AWS, Azure & GCP is preferred - University degree in computer science, engineering, mathematics or related fields or equivalent experience preferred - Skills in Data Science and Data Applications Development, including knowledge of; Scala, Python and JavaScript is a bonus Perks & Benefits: - Comprehensive health coverage including Medical, Dental, Vision - Free mental health therapy sessions; free One Medical, Tela-doc, and Health Advocate subscriptions - Equity award - 401(k) - Flexible time off - Paid parental leave - Annual Department Retreat - WFH Equipment Stipend Diversity, Equity, Inclusion and Belonging (DEIB) are the cornerstone of everything we do at Pinecone. Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the qualifications in a job description. Our top priority is finding the best candidate for the job and if you are interested in the position, we would encourage you to apply, even if you don’t believe you meet every one of the qualifications listed in this posting. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

Сегодня мы расширяем команду и ищем Инженера данных для работы над внешними проектами в таких сферах, как ритейл, EdTech, банкинг и других. Чем предстоит заниматься Проектировать и разрабатывать потоки данных на ETL/ELT-инструментах;

Location: Warsaw, Poland WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It's the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU? Metadata is a key component of the Box Intelligent Cloud, enabling customers to add additional context to their files and transforming them into actionable content. In the current iteration, it's used to organize, discover, annotate, secure, and retain content. Metadata Platform adoption continues to grow exponentially as more Box products, like Shield, Relay, Forms, Sign, Governance, etc, rely on it internally and as our customers continue to build custom applications leveraging it. But, we've only scratched the surface of what's possible. That's where you come in! As we embark on the mission to deliver a next-generation Metadata Platform, we're looking for a Software Engineer III to join us and play a pivotal role. You'll have the opportunity to work with a team of talented, collaborative, and fun engineers, solving some of the toughest challenges, as we build out the future of intelligent content management in the cloud. The work you do will have an immediate and lasting impact on the productivity of millions of users, at some of the most important enterprises of our time. WHAT YOU'LL DO Design and implement scalable services with a focus on reliability, observability, operability and efficiency. Collaborate with partner teams and domain architects on system design and services integration. Be heavily involved in defining the vision and assembling feature roadmaps. Work with cutting-edge technologies like Kubernetes, Docker, BigTable, and Istio. Strengthen engineering processes, principles, and culture within the team and across Box, by championing a culture of learning, continuous improvement, and blameless retrospection. Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. WHO YOU ARE You have 4+ years of professional software development experience. Proficient in Java; familiarity with other scripting languages like Python, Scala or PHP is a plus. Proven ability to design, build, and deploy high-quality software. Strong knowledge of algorithms, data structures, software design principles, and object-oriented programming. Skilled in designing and developing APIs. Familiarity with NoSQL databases such as MongoDB preferred. Passionate about new technologies with the capability to implement them in existing products. Proficiency in spoken and written English. Nice to Haves: Experience working with message queues and/or streaming data systems like Kafka/PubSub. Experience with Google Cloud Platform (GCP), Amazon Web Service (AWS) or Azure. Experience deploying and operating microservices on Kubernetes. Percentage of Time Spent: 50% coding 20% documentation 20% bug fixes 10% meetings Methodology Agile management - Scrum Issue tracking tool - Jira Knowledge repository - Confluence Code reviews - GitHub Enterprise Version control system - GIT BENEFITS Check out the overview of Life at Box which include general perks and benefits. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-EMEA #LI -GW1 #LI-hybrid

Проектирование и развитие масштабируемой data-инфраструктуры (batch и streaming пайплайны); ClickHouse (MergeTree), S3 Data Lake, Kafka, Airflow (ETL/ELT);

Location: Москва Ищем специалиста, который сочетает инженерный подход к разработке ETL-процессов с глубоким пониманием аналитики данных. Обязанности Чем предстоит заниматься: • проектирование на основе спецификаций (Spec-driven) • разработка ETL/ELT процессов • оркестрация и мониторинг • аналитическая поддержка • работа с документацией • взаимодействие со стейкхолдерам Требования Мы ждём что ты: • Опыт работы от 4 лет в ролях Data Engineer, DWH-разработчика или системного аналитика данных • Продвинутый уровень SQL: оконные функции (ROW\_NUMBER, LAG/LEAD), CTE, понимание плана выполнения запроса (EXPLAIN) и оптимизации • Уверенное владение Apache Spark: опыт промышленной разработки на языке Scala, опыт работы с экосистемой Big Data: HDFS, Hive Metastore, YARN, Parquet/ORC форматы • Практический опыт работы с оркестраторами (Airflow, Luigi или аналоги) • Владение Git: ветвление (GitFlow), код-ревью, разрешение конфликтов Будет плюсом: • Опыт проектирования витрин с нуля под требования конкретных продуктовых метрик • Python (Pandas, PySpark) для вспомогательных скриптов, тестирования или легкого анализа • Начальные знания и интерес к развитию в области Machine Learning и Data Analysis Условия Что мы предлагаем: • офисный формат работы • ежегодный пересмотр зарплаты, годовая премия • более 400 образовательных программ СберУниверситета для профессионального и карьерного развития • расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа • гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ • подписку Прайм с возможностью совместного использования на троих членов семьи • вознаграждение за рекомендацию друзей в команду Сбера.

💎 Revolut ищет Mid/Senior Backend Engineer для построения мобильных API, разработки микросервисов, совершенствования критически важных систем (управление рисками, выявление мошенничества, обработка платежей), а также для greenfield‑разработки и улучшения существующих решений;

Location: Warsaw, Poland WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! WHY BOX NEEDS YOU? Metadata is a key component of the Box Intelligent Cloud, enabling customers to add additional context to their files and transforming them into actionable content. In the current iteration, it's used to organize, discover, annotate, secure, and retain content. Metadata Platform adoption continues to grow exponentially as more Box products, like Shield, Relay, Forms, Sign, Governance, etc, rely on it internally and as our customers continue to build custom applications leveraging it. But, we've only scratched the surface of what's possible. That's where you come in! As we embark on the mission to deliver a next-generation Metadata Platform, we're looking for a Senior Software Engineer to join us and play a pivotal role. You'll have the opportunity to work with a team of talented, collaborative, and fun engineers, solving some of the toughest challenges, as we build out the future of intelligent content management in the cloud. The work you do will have an immediate and lasting impact on the productivity of millions of users, at some of the most important enterprises of our time. WHAT YOU'LL DO Lead design and implementation efforts for new components of our platform, from the ground up. Design and implement scalable services with a focus on reliability, observability, operability and efficiency. Collaborate with partner teams and domain architects on system design and services integration. Work with cutting-edge technologies like Kubernetes, Docker, BigTable, and Istio. Be heavily involved in setting the platform vision and defining feature roadmaps. Mentor other engineers and contribute to team growth and development. Strengthen engineering processes, principles, and culture within the team and across Box, by championing a culture of learning, continuous improvement, and blameless retrospection. We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. WHO YOU ARE You have 5+ years of professional software development experience. You have extensive experience deploying and operating microservices in a cloud environment. Good understanding of scalability and observability practices. Proficient in Java, familiarity with other scripting languages like Python, Scala or PHP is a plus. Skilled in designing and developing APIs. Proficient with NoSQL databases such as MongoDB. You have experience working with message queues and/or streaming data systems like Kafka/PubSub. Experience deploying and operating microservices on Kubernetes. You are the technical expert and provide guidance to your team on best practices, coding standards, and complex technical issues. You have experience in mentoring and coaching engineers and provide technical feedback. Proficiency in spoken and written English. BONUS POINTS FOR Experience with Google Cloud Platform (GCP), Amazon Web Service (AWS) or Azure. METHODOLOGY Agile management - Scrum Issue tracking tool - Jira Knowledge repository - Confluence Code reviews - GitHub Enterprise Version control system - GIT Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays . Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-EMEA #LI -GW1 #LI-hybrid

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for an experienced engineer to lead the architecture and hands-on development of the ML and data infrastructure behind our risk and fraud prevention systems. You will help teams move models from experimentation into reliable production services, improve model execution performance, and build scalable data foundations for training, evaluation, and real-time decisions. What You’ll Be Doing Improve model inference latency, throughput, resource utilization, and cost. Profile the full prediction path —from feature retrieval and preprocessing to model execution — and deliver measurable improvements without unacceptable model-quality regressions. Build reusable infrastructure for model packaging, versioning, deployment, serving, monitoring, and rollback across cloud platforms and regions. Design and optimize offline data pipelines on Databricks, Apache Spark, and warehouse/lakehouse technologies, addressing data modeling, partitioning, joins, shuffles, skew, incremental processing, and cost. Connect offline and online feature pipelines, ensuring point-in-time correctness, consistent feature definitions, freshness, lineage, and reproducible backfills. Evolve reliable feature services and data integrations supporting risk models and decision systems. Set technical direction, mentor engineers, and lead delivery across ML, data engineering, cloud infrastructure, security, and product teams. What We Look For In You A record of building and operating large-scale distributed systems, ML infrastructure, or data platforms, with technical ownership across teams. Hands-on experience optimizing production model performance, supported by measurable improvements in latency, throughput, utilization, or cost. Deep understanding of Databricks and Spark, or comparable offline data platforms, including execution plans, distributed query optimization, storage layouts, data correctness, and workload cost management. Experience with the model lifecycle, including training/serving integration, validation, deployment, observability, and rollback. Strong Python, SQL, and at least one backend or systems language such as Java, Scala, Go, or C++. Ability to turn ambiguous requirements into clear architecture and deliver maintainable systems through hands-on engineering and technical leadership. Nice to Haves SageMaker, Alibaba Cloud PAI/EAS, or comparable ML platforms. Inference optimization using tools such as ONNX Runtime, TensorRT, or Triton. Delta Lake, MLflow, feature stores, Kafka, Flink, and low-latency data stores. Fraud detection or financial risk systems. Fluency in Mandarin Perks & Benefits Competitive total compensation package L&D programs for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $214,666 to 321,999 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. #LI-SK1 #LI-HYBRID Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Москва Мы - команда, создающая **комплексную систему противодействия мошенничеству** и обеспечивающая online/offline безопасность миллионов клиентов банка 24/7/365, предоставляя инструменты **собственной разработки** для: * Построения графа связей (позволяет проанализировать не только объекты и их свойства, но также их связи с другими объектами различных уровней и характеристик и применяется для получения дополнительных знаний об объекте за счет извлечения знаний о его окружении, выявления наиболее значимой информации, центров влияния, групп связанных объектов, цепочек) * Геопространственой аналитики: анализа локаций, построения маршрутов и тепловых карт * Выявления и анализа попыток мошенничества и иных отклонений * Портфеля технологичных сервисов накопления и обработки больших объемов данных со сложной структурой Мы находимся на передовой технологических инноваций, соединяя возможности ИИ, современные технологии и потребности общества. Наше направление AI-трансформации — это стратегическая инициатива по интеграции LLM-агентов и мультиагентных систем в собственную аналитическую платформу: * AI-решения для глубокого анализа данных * Набор AI Tools, дающих агентам доступ к инструментам и сервисам платформы * Собственная no-code/low-code платформа для оркестрации AI-агентов и автоматизации рабочих процессов * Интеграция с внутренними LLM-шлюзами и средами исполнения агентов * RAG-системы для работы с корпоративными базами знаний и методологиями Наш передовой технологический стек: * Storage - Hadoop, Cassandra, ClickHouse, Elasticsearch, FastGraph, PostgreSQL * Big Data Engineering- Scala, Spark, Flink * Backend - GO (GIN), Scala (ZIO), Kubernetes (OpenShift, DropApp) * Fronted - React, Redux (Redux ToolKit, RTK Query), Typescript, jest. Библиотеки: react-force-graph, leaflet * AI - Python (LangChain, LangGraph, Harness), GO (mcp-go), Typescript (no code platform), ai-coding (gigacode cli, claude, codex), RAG\\GraphRag (PostgreSQL, Elasticsearch, Qdrant) * QA - Java, TestNG, Selenium, Maven, Allure * DevOps - Docker, Helm, Jenkins Обязанности * Проектирование и анализ архитектуры технического решения совместно с командой разработки * Разработка и согласование концепции, проектной документации и технической документации, описание API, ведение документации в Confluence * Развитие направления мультиагентных решений обеспечивая полный цикл реализации * Проведение исследовательских работ и тестирование новых подходов и техник AI * Анализ источников данных, разработка моделей данных, логики алгоритмов и интеграций * Документирование и обеспечение соблюдения правил сбора, хранения и использования данных * Участие в полном цикле разработки и внедрения Требования * Умение быстро погружаться в исследуемую область и оперативно переключаться на новое направление * Навыки интеграции решений на основе ML/AI в реальные производственные системы * Опыт проектирования логической и физической моделей данных. Языки SQL: понимание работы ETL-инструментов, умение писать SQL-запросы различной сложности * Знание форматов JSON/XML и навыки проектирование REST API * Способность обрабатывать и структурировать большой объем сложной информации, доступно и наглядно ее презентовать * Сбор, анализ и документирование бизнес-требований, описание use case, генерация идей, проработка технических решений, интеграционных взаимодействий * Коммуникативные навыки, достаточные для выстраивания конструктивного взаимодействия со смежными подразделениями и внутри команды Будет плюсом * Понимание ключевых алгоритмов и подходов в AI/GenAI (LLM, vector search, NLP, context engineering и др.) * Понимание архитектуры AI/GenAI решений, LLM, RAG, BI и DataOps * Наличие опыта разработки собственных библиотек и инструментов для AI * Опыт успешного внедрения AI-решений, знание инструментов AI на рынке * Опыт программирования на любом языке и способность анализировать код * Владение инструментами Big Data (Hadoop, AirFlow, Spark, Kafka) * Понимание принципов работы NoSQL баз данных (Cassandra, ClickHouse, ElasticSearch, Qdrant, Neo4j) Условия * Комфортный современный офис (ст.м.Кутузовская) * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Москва Мы передовое ИТ подразделение, создающее дата платформу на сотни петобайт данных для крупшейнего юнита банка. Нами реализована загрузка, обработка и контроль качетсва разрозненных данных из сотен систем-истоников банка в единое хранилище в Data Lakehouse архитектуре на платформе Hadoop. Ищем сильных и энергичных дата инженеров для развития нашей платформы в сторону обработки данных в режимах батчевой и потоковой загрузки. Вы будете работать в сильной команде дата инженеров с сложными инженерными задачами, передовым стеком технологий и самыми большими объемами данных в Европе. Задачи разработки и поддержки витрин данных в Hadoop (HDFS, Icberg, Hive), ETL - Spark, CTL - Oozie, CI/CD - Jenkins + BitBucket. И NRT пайплайны, Kafka, dynamic tables. языки - Python, Java, Scala. Обязанности * разработка DWH/DataLake/LakeHouse * построение поставки данных в Batch/NRT/RealTime * оптимизация ETL * повышение актуальности данных * снижение latency доступа к данным * разработка и валидация архитектуры данных Требования * отличное знание SQL (join, CTE, оконные функции, фреймы и др.) * опыт работы с Hadoop, Spark, Iceberg/Paimon * опыт работы с Kafka и др. Брокерами * опыт работы с оркестраторами (например, Airflow) и CI/CD * опыт построения архитектуры данных (например, Data Vault, Инман, Кимбалл и др.) * опыт кратной оптимизации ETL * практическое знание python на уровне разработки ETL будет преимуществом * практическое знание java/scala будет преимуществом * практический опыт создания и защиты архитектуры данных будет преимуществом * практический опыт разработки solution-архитектуры data-продуктов будет преимуществом Условия * **офисный формат работы** (м Кутузовская ул. Поклонная 3) * годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * регулярные митапы и развитое DS-community * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбер.

Location: GE; PL Workplace: remote Overview: We invite you to join our Data Platform team — building the data infrastructure that powers analytics and insights for SOFTSWISS. We process enterprise-scale data and serve multiple internal teams across the company. In this role, you’ll have the opportunity to: Work with modern data stack and AI tools to build complex solutions Design solutions to technical challenges and influence platform architecture Research, develop and integrate new data processing tools and technologies Key responsibilities: Build business-critical, robust and self-service data products using Apache Spark, Kafka, Delta Lake and other big data technologies Ensure pipeline performance and data quality through scalable architecture and optimization Refine data solutions as business requirements and technical constraints evolve Collaborate with teams to understand data needs and support adoption of data products across the company Required Experience: 5+ years of software engineering experience with expertise in development, deployment, and integration Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent) Experience in data environments, such as Data Lakes, Data Warehouses, Data Marts, Data transformation concepts and working with large data volumes Experience in building ETL pipelines to perform feature engineering on large-scale datasets using Apache Spark and Delta Lake Experience with sourcing and modelling data from application APIs Experience with building stream-processing applications using Spark-Streaming, Kafka Streams or others Experience designing and implementing monitoring, alerting, and observability solutions for data pipelines using Prometheus, Grafana, Alertmanager or others Strong analytical and problem-solving skills Upper-intermediate proficiency in English and strong command of Russian Nice to have: Experience with workflow orchestration tools such as Apache Airflow Experience with Kubernetes and containerization Familiarity with cloud platforms (AWS, GCP, Azure, OCI) Familiarity with CDC and Debezium Familiarity with Clickhouse Familiarity with data quality validation frameworks for data pipelines Familiarity with Data Lineage Familiarity with low-latency NoSQL datastores (such as HBase, Cassandra, MongoDB), Relational databases (such as MySQL, Postgres) and Search systems (such as ElasticSearch, Solr) Masters, PhD, or equivalent experience in Software Engineering, Mathematics or Computer Science Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

Location: Amsterdam Workplace: OnSite ABOUT US Tebi is creating the first Connected Restaurant Management System that makes hospitality flow. In one seamless platform, Tebi embeds sales, reservations, kitchen prep, payments, and all the data that powers it, creating smooth service and intuitive insights. Founded by Arnout Schuijff, co-founder of Adyen, and backed by €50 million in funding from Index Ventures & CapitalG, Tebi is built in service of hospitality first. Thousands of restaurants, cafés, bars, and coffee shops across the Netherlands, UK, Italy, Spain, Germany, Denmark and Finland already love running on Tebi. ABOUT THE ROLE: We’re looking for a Senior Backend Engineer to help us build powerful, delightful features that empower restaurant teams. You’ll work across the stack to bring new ideas to life, whether it’s building intuitive interfaces, scalable backend services, or the glue in between that makes everything feel seamless. You’ll collaborate closely with design, product, and other engineers to rapidly ship impactful features. As an early team member, you’ll also help shape our engineering culture, tooling, and technical direction. This role is perfect for someone who thrives in fast-paced environments, loves solving real user problems, and wants to help modernize an underserved industry with thoughtful, elegant software. RESPONSIBILITIES: - Build, test, and ship end-to-end features across the stack—from APIs and data models. - Collaborate with designers and PMs to translate user needs into working, intuitive product experiences - Own projects from concept to launch and beyond, balancing speed, quality, and scalability - Improve system performance and reliability across frontend and backend systems - Help evolve our codebase and technical architecture as we scale - Contribute to shared tooling, component libraries, and best practices that level up the whole team WHAT YOU’LL NEED: - 8+ years of professional experience as a fullstack or backend engineer in a product-focused environment - Deep expertise in either Kotlin, Java, or Scala. - Significant experience with distributed systems. You know how to build and maintain scalable, resilient services that work together. - Experience with event-driven architectures (e.g., Kafka). - Good experience of relational databases, such as Postgres. - Comfortable working with APIs, relational databases, and docker - A product mindset, you care about the why behind what you’re building and optimizing for user impact - Ability to work collaboratively across functions and communicate clearly with both technical and non-technical stakeholders - Strong attention to detail and a sense of pride in crafting great user experiences What is Restaurant Software? Restaurants and other merchants use various software systems such as Point of Sale (POS), Reservations, Kitchen Display Systems (KDS), Payments, Inventory, Staffing, and the list goes on. These systems all need to speak to each other which they frequently don’t. It’s a mess, and we are fixing it. From buying a croissant at a cafe to having dinner with friends, it’s a €4 Trillion+ global market and a critical part of everyday life in today's economy. How we use AI at Tebi We use AI the way our merchants use Tebi, to cut out the friction and get to what matters faster. We believe in a world where AI increases quality, efficiency and speed. At Tebi, AI isn't a policy or a checkbox, it's just part of how we work. It helps us write, analyse, build, and improve but doesn’t make the last call. If there's a smarter way to do something, we want to find it.

В задачи входит разработка и поддержка распределённых процессов обработки данных на базе Apache Spark (Java/Scala) с интеграцией в экосистему Hadoop (HDFS, Hive, HBase), а также взаимодействие с системами Oracle/Postgres и потоковыми данными через Kafka. разработка и поддержка Big Data на крупном проекте;