Location: Kazakhstan; Kyrgyzstan; Uzbekistan
Workplace: Hybrid
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region.
7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors.
Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries.
If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us.
Southeast Asia's fintech moment starts here.
About the role
You'll build and own the data pipelines and lakehouse architecture that turn raw data into reliable inputs powering products used by millions of people.
What you'll do
- Design and run batch and streaming pipelines on Databricks and Apache Spark over AWS, ingesting from databases, APIs, and event streams.
- Shape our lakehouse architecture on S3 and Delta Lake, including medallion (Bronze / Silver / Gold) layering and storage optimization.
- Work directly with analytics, engineering, and product teams to turn raw data into reliable, usable inputs for the business.
What you'll own
- Own projects end to end — from stakeholder alignment and design review through implementation, launch, and ongoing support.
- Build self-service data solutions that let other teams deliver their own data needs, designed to scale and extend easily as new sources and use cases are added.
- Build and maintain scalable ETL/ELT pipelines that are fault-tolerant and cost-optimized.
- Optimize Spark jobs end to end — cluster sizing, caching, joins, shuffles, partitioning, and storage formats (Parquet, Delta).
- Manage Databricks Workflows, jobs, cluster configurations, and the underlying infrastructure — security policies, resources, and access — responding to failures and performance issues.
- Implement data governance and access control with Unity Catalog across accounts and environments, including handling of PII.
What makes you a strong fit
- Hands-on experience with Databricks and strong proficiency in Apache Spark (PySpark and/or Scala).
- Strong Python for data engineering, plus SQL and Spark SQL for transformation and analytics.
- Experience with Delta Lake and lakehouse architectures, including performance optimization.
- Proven ownership — you've run projects where you knew the weak points, gathered feedback, and made your solutions easy to scale and maintain.
- Experience writing clean, testable, maintainable code with Git-based version control.
- Experience with infrastructure-as-code such as Terraform or Ansible is a plus — not required, and easy to pick up on the job.
What we offer
Build what's next in Southeast Asian fintech.
Ownership and flexibility
- Stock option plan — four-year vesting with a 25% cliff after the first year
- Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8)
- Company-provided tools and equipment
- Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene
Health and time off
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
- 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila
Relocation and family support
- Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics
- Reimbursement of eligible pet relocation expenses
- US$2,500 per year for flights home
- Baby and family stipends for employees relocating to Manila: US$1,000 per month for each child under two and US$500 per month for each child aged two to 18
Growth and team experience
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- Regular team offsites, sports activities, and team events
- High-performing teams can earn a dedicated beach house week in Southeast Asia
Considering a move to Manila? See what life with Salmon looks like https://www.youtube.com/watch?v=nYQLKhuZHIE&t=34s
ГибридKazakhstan; Kyrgyzstan; Uzbekistan; Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8); Relocation and family support; Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics; Reimbursement of eligible pet relocation expenses
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.
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.
Staff Software Engineer – Data
Do you want to join a team of talented engineers building the next generation of real-time data platforms that power analytics and data-driven experiences across PlayStation? As part of our Data Platform team, you will play a key technical leadership role in designing and evolving the Real-Time Analytics Platform (RTAP), enabling high-throughput, low-latency analytics and stream processing at PlayStation scale.
The Software Engineers within our Platform Engineering Group design, build, document, and operate large-scale distributed data platforms that support real-time and near real-time analytics across PlayStation. You will solve complex distributed systems challenges, evolve our streaming and analytics architecture, integrate AI-powered platform capabilities, and improve scalability, reliability, performance, and developer productivity.
We’re looking for someone who is passionate about distributed systems, real-time analytics, and building scalable data platforms. You will work closely with Engineering, Product, Infrastructure, Security, and Data Engineering teams to shape technical strategy, influence architecture across organizations, mentor engineers, and help drive the long-term evolution of PlayStation’s data platform.
Responsibilities
·
Design, build, and operate large-scale distributed data systems that power real-time and near real-time analytics,, and data-driven applications across PlayStation.
·
Lead the architecture and evolution of RTAP’s stream processing and analytics platforms, improving scalability, reliability, performance, and developer productivity.
·
Own critical platform capabilities end-to-end from architecture and implementation through production operations, performance optimization, reliability, and lifecycle management.
·
Build and optimize distributed data services using technologies such as Apache Flink, Spark Structured Streaming, ClickHouse, and Apache Druid to support high-throughput, low-latency workloads.
·
Partner with Data Engineering teams to integrate batch and streaming workloads using modern lakehouse architectures and build interoperable, scalable data platforms.
·
Build AI-powered capabilities to automate engineering workflows, improve data quality, simplify platform operations, accelerate troubleshooting, and enhance developer productivity.
·
Establish technical standards and engineering best practices for distributed systems, stream processing, data modeling, query optimization and platform reliability.
·
Mentor engineers across the organization by reviewing architecture, designs, and code while raising the technical bar through coaching and technical leadership.
·
Partner with Product, Infrastructure, Security, and Platform Engineering teams to define long-term technical strategy and deliver scalable platform capabilities aligned with business priorities.
·
Investigate and resolve complex production challenges involving high-throughput, low-latency distributed systems, ensuring high availability and operational excellence.
·
Participate in the team's production support and on-call rotation, leading incident response, conducting root-cause analysis, and implementing reliability improvements that strengthen the platform over time
·
Evaluate emerging technologies and distributed data platforms, recommending investments that improve scalability, reliability, developer productivity, and cost efficiency.
Requirements
·
Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
·
8+ years of experience designing and building large-scale distributed systems, with expertise in real-time data processing, analytics, or data platform engineering.
·
Strong proficiency in
Python
, with experience building production-grade distributed systems and data processing applications. Experience with
Scala
is beneficial for supporting and evolving existing platform components.
·
Hands-on expertise designing and operating large-scale stream processing applications using
Apache Flink
,
Apache Spark Structured Streaming
, or equivalent distributed streaming technologies.
·
Production experience designing, operating, and optimizing distributed analytics platforms using
ClickHouse
,
Apache Druid
, or equivalent high-performance OLAP/analytics databases, including query optimization, data modeling, and performance tuning at scale.
·
Experience building and consuming event-driven data pipelines using
AWS MSK
,
Apache Kafka
, or equivalent messaging platforms, with a focus on developing reliable, scalable data processing applications.
·
Experience applying
AI/ML techniques and modern AI tooling
to automate engineering workflows, improve data pipelines, simplify platform operations, and enhance developer productivity.
·
Strong systems design skills with the ability to evaluate architectural trade-offs across scalability, latency, throughput, consistency, reliability, and cost.
·
Demonstrated technical leadership through architecture ownership, mentoring engineers, and influencing technical decisions across multiple teams.
Nice to Have
·
Experience with
Databricks
,
Apache Iceberg
, or modern lakehouse architectures, with the ability to design and integrate batch and streaming workloads into scalable, production-grade data platforms.
·
Experience building or operating
multi-tenant, self-service data platforms
supporting multiple engineering organizations.
·
Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment.
Your First 90 Days
30 Days:
Develop a strong understanding of the platform’s architecture, capabilities, engineering practices, and roadmap.Begin contributing to architecture discussions, feature development, design reviews, and production support.Build relationships within the team as well as across the Data Platform organization.
60 Days:
Take technical ownership of a major platform capability or architectural area.
Identify opportunities to improve scalability, performance, reliability, or developer productivity.Collaborate with Data Engineering, Infrastructure, Product, and other partner teams on cross-platform initiatives.
90 Days:
Lead the design and delivery of key roadmap initiatives for the team..Influence technical direction across teams and mentor engineers on distributed systems and platform engineering best practices.Establish clear architectural recommendations for the next phase of the platform’s evolution.
In 90 days, you will have a detailed understanding of the
Real-Time Analytics Platform
and its role within PlayStation’s broader data ecosystem. You will be comfortable owning complex distributed systems initiatives, partnering closely with Product and Engineering teams, and driving large-scale solutions from architecture through production delivery.
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.
$198,200
—
$297,400 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: Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of Voodoo's gaming and consumer apps, keeping us at the forefront of the mobile industry. The team plays a key role in Voodoo's long-term strategy: it accelerates product diversification and provides a state-of-the-art growth engine to distribute and scale our games. We create solutions that drive growth with a pragmatic approach, ranging from simple search to complex machine learning systems.
Within Engineering & Data, the Central Data & Analytics team makes data a reliable guide for the whole company. Data engineers, analytics engineers, data analysts and a product data PM work side by side to build and grow the foundations behind every critical business and product decision at Voodoo.
This position is hybrid and requires 3 days/week in our Paris office.
ROLE
We’re looking for a Senior Data Engineer to join our Engineering & Data team. In this role, you’ll be responsible for a wide array of topics such as:
- Build and operate robust data pipelines that keep pace with ever-evolving business needs, ensuring the architecture supports them cleanly.
- Contribute to the codebase, ship and maintain your changes in production, and champion strong coding and data engineering practices.
- Use AI coding tools (Claude Code, Codex, and whatever comes next) as a core part of your daily workflow — to move faster on pipelines, migrations, tests and documentation — while staying fully accountable for what you merge.
- Look for opportunities to put AI inside our data platform, not just around it: LLM-assisted data quality checks, semantic layers, natural-language access to datasets, agent-driven internal tooling.
- Take ownership of projects from initial discussions to release: feature estimation and scoping, architecture design, benchmarking of new technologies, product feedback.
- Work in a very agile environment with a fast decision process.
- Collaborate directly with back-end engineers, data scientists, mobile game and consumer app teams, product and marketing.
PROFILE
- Extensive experience as a Data Engineer or in a similar role.
- A proven track record of building and optimizing data pipelines for massive volumes of data (at scale).
- Strong experience with scalability, reliability, and security topics.
- Hands-on experience coding with AI assistants and agentic tools — you know how to give them the right context, break work down for them, and review their output critically rather than trusting it blindly.
- Genuine curiosity about modern tooling and practices: you follow how the data and AI ecosystem is evolving, try new tools on real problems, and form your own opinion instead of following hype. You can explain why you adopted something — or why you dropped it.
- Strong analytical skills and comfort working with unstructured datasets.
- Experience with Amazon Web Services.
- Result-oriented and focused on the value your work creates.
- Curious about business needs and keen to build innovative, pragmatic solutions that grow the business through data.
- Excellent communication skills (you can speak and write English).
- Experience with LLM-based systems (RAG, evals, prompt and context engineering) is a strong plus.
- Experience in gaming, advertising, or another fast-growing company is a plus.
- Familiarity with Voodoo's ecosystem: gaming, apps, advertising, analytics.
OUR STACK
- Amazon Web Services; Python; Spark; Scala; Terraform; SQL (Athena, StarRocks); DBT;; Airflow; Kubernetes; AI-assisted development tooling (Claude Code, MCP-based internal tools)
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote Fridays
Задачи:
- Разработка новых фич end-to-end — от проработки требований с аналитиком до деплоя в прод, владение фичей целиком
- Проектирование и развитие архитектуры, участие в архитектурных решениях, проактивное улучшение систем
- Интеграции с банковскими системами — ДБО каналы, внутренние системы банка, блокчейн Amity Chain, самостоятельное принятие решений
- Код-ревью и менторинг, поддержание качества кода, помощь коллегам
- Поддержка и развитие существующего кода, устранение технического долга, повышение надёжности
- Работа в условиях неопределённости, быстрая адаптация и предложение решений
Требования:
- GitHub/GitLab с примерами кода или ссылки на проекты
- Опыт работы с Java 8+ не менее 2 лет
- Опыт с Spring Framework, Spring Boot, Spring Data
- Опыт работы с message brokers — Apache Kafka и т.п.
- Умение писать юнит и интеграционные тесты
- Понимание принципов SOLID, DRY, KISS, YAGNI
- Опыт проектирования RESTful API
- Знание паттернов микросервисной архитектуры
Будет плюсом:
- Опыт работы или желание работать со Scala
- Опыт работы или понимание блокчейн-технологий
- Опыт в финтехе или банковской сфере
Условия:
- Возможность профессионального и карьерного роста, участие в разных проектах
- Опыт работы в распределённой команде профессионалов
- Уровень заработной платы обсуждается индивидуально
- Корпоративные скидки на изучение иностранного языка, абонемент в фитнес, образовательные курсы
- Формат работы — гибридный в Москве
Обязанности:
• Участие в проектах в качестве стажера – разработчика DWH, ETL, BigData
• Разработка сценариев обработки данных ETL, ELT
• Проектирование логических и физических моделей данных в DWH
• Написание проектной технической документации
• Знакомство с новыми продуктами и технологическими стеками
Требования:
• Высшее техническое образование или студент старших курсов
• Базовые знания SQL и СУБД
• Базовые знания DWH, Data Lake, ETL и желание развиваться в сфере работы с данными
• Знания англ. языка на техническом уровне или выше
• Пройденный офлайн/онлайн курс по любой из тем: СУБД, DWH, BigData, ETL (будет плюсом)
• Опыт построения моделей данных для СУБД в т.ч. с применением CASE-инструментов (будет плюсом)
• Знания принципов и методологий построения решений класса DWH (будет плюсом)
• Знания в части работы ETL-процессов и инструментов (будет плюсом)
• Знания в области БД (Hive, ClickHouse, GreenPlum, PostgreSQL, Oracle DB, MS SQL или другие) (будет плюсом)
• Знания языков программирования Python, Java, Scala и т.д. (будет плюсом)
Условия:
• Зарплату, соответствующую опыту и навыкам
• Прозрачную систему мотивации
• Работу в компании с аккредитацией в Минцифре
• Курсы и тренинги от корпоративного университета, внешнее обучение за счет компании
• Расширенный пакет ДМС со стоматологией и психологом, телемедицина 24/7, HotLineCROC
• Сезонные спортивные программы, современный спортзал для занятий в офисе, беговой клуб, приложение Croc Sport, командные соревнования
• Совместные путешествия, праздники, тимбилдинги, клуб путешественников
• Возможность гибко строить свой карьерный трек
• Выступать на внешних и внутренних митапах и конференциях, писать в техноблоги, участвовать в образовательных программах
• Компенсация питания в CROC Cafe, экосистема сервисов, парковка, корпоративный транспорт от метро
Location: Vilnius
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
The Velocity team exists to eliminate friction. We treat our internal developers as our customers. You will:
Abstract Complexity:
Build intuitive tooling that enables self-service allowing devs to focus on product logic.
Standardize Excellence:
Bake best-practices, security, observability, and scalability into the core stack so they aren't afterthoughts.
What You Will Do
Developer Experience:
Build self-service tools that give product teams autonomy without sacrificing system stability.
Platform Engineering:
Architect and evolve our core stack (AWS, EKS, Terraform).
Systems Resilience:
Lead reliability initiatives, including business continuity planning and a sustainable on-call rotation.
High-Scale Privacy:
Support the infrastructure for industry-leading privacy features, such as our TIME-recognized "Anonymous Mode."
Observability:
Implement best-in-class monitoring (metrics, logs, tracing) to ensure issues are identified and mitigated before they impact the user.
What You Bring
Experience:
15+ years in AWS Infrastructure, DevEx, SRE, or DevOps roles supporting high-traffic, distributed environments.
Cloud Native Mastery:
Deep expertise in AWS and Kubernetes (K8s) is essential.
Automation Mindset:
Proficient in Infrastructure as Code (Terraform), a coding background with experience with Python, Scala or Go would be beneficial.
Technical Breadth:
You will feel comfortable at all levels of the stack, from developing front ends using React through to engineering Terraform modules to deliver infrastructure abstractions.
Communication:
A "doc-first" mentality and the ability to collaborate across distributed product teams.
AI First: You will have experience of the impact which AI automation is having on development teams and the software delivery lifecycle and have strong ideas on how to support them through it
Bonus Points
Background in hardening infrastructure for high-compliance or security-sensitive environments.
Experience scaling consumer tech platforms with millions of concurrent users.
Professional Accreditation such as AWS Professional Architect, CKAD or KCSA.
Why Join Flo?
High Impact:
Flo is re-writing women’s health.
Autonomy:
We hire experts and empower you to deliver.
Cutting-Edge Stack:
Work with modern tools like Sentry, EKS, and Terraform in a fast-paced, "fail-forward" environment at a huge scale.
Salary Range - gross per month (ranges may vary based on skills and experience)
€8.000
—
€12.000 EUR
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: 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
The Velocity team exists to eliminate friction. We treat our internal developers as our customers. You will:
Abstract Complexity:
Build intuitive tooling that enables self-service allowing devs to focus on product logic.
Standardize Excellence:
Bake best-practices, security, observability, and scalability into the core stack so they aren't afterthoughts.
What You Will Do
Developer Experience:
Build self-service tools that give product teams autonomy without sacrificing system stability.
Platform Engineering:
Architect and evolve our core stack (AWS, EKS, Terraform).
Systems Resilience:
Lead reliability initiatives, including business continuity planning and a sustainable on-call rotation.
High-Scale Privacy:
Support the infrastructure for industry-leading privacy features, such as our TIME-recognized "Anonymous Mode."
Observability:
Implement best-in-class monitoring (metrics, logs, tracing) to ensure issues are identified and mitigated before they impact the user.
What You Bring
Experience:
15+ years in AWS Infrastructure, DevEx, SRE, or DevOps roles supporting high-traffic, distributed environments.
Cloud Native Mastery:
Deep expertise in AWS and Kubernetes (K8s) is essential.
Automation Mindset:
Proficient in Infrastructure as Code (Terraform), a coding background with experience with Python, Scala or Go would be beneficial.
Technical Breadth:
You will feel comfortable at all levels of the stack, from developing front ends using React through to engineering Terraform modules to deliver infrastructure abstractions.
Communication:
A "doc-first" mentality and the ability to collaborate across distributed product teams.
AI First: You will have experience of the impact which AI automation is having on development teams and the software delivery lifecycle and have strong ideas on how to support them through it
Bonus Points
Background in hardening infrastructure for high-compliance or security-sensitive environments.
Experience scaling consumer tech platforms with millions of concurrent users.
Professional Accreditation such as AWS Professional Architect, CKAD or KCSA.
Why Join Flo?
High Impact:
Flo is re-writing women’s health.
Autonomy:
We hire experts and empower you to deliver.
Cutting-Edge Stack:
Work with modern tools like Sentry, EKS, and Terraform in a fast-paced, "fail-forward" environment at a huge scale.
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; New York
Workplace: Remote
Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases.
Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with:
- $10 billion+ generated by creators since Patreon's inception
- 100 million+ free memberships for fans who may not be ready to pay just yet, and
- 25 million+ paid memberships on Patreon today.
We're continuing to invest heavily in building the best creator platform with the best team in the creator economy and are looking for a Staff Software Engineer, Data Infrastructure to support our mission.
This role is remote, with optional in-person attendance in either the New York or San Francisco office.
About the Team
The Data Foundations team at Patreon builds the pipelines, models, and infrastructure that power both customer-facing and internal data products. The Data Infrastructure function within the team owns the foundational platform — streaming, batch, and data lake infrastructure — that every data pipeline, analytics workload, and ML system at Patreon runs on.
You'll join a small, high-craft team that partners across Product, Data Science, Infrastructure, and the rest of Engineering to make sure the platform underneath all of that work is reliable, scalable, and easy for other engineers to build on.
About the Role
- Architect, build, and operate large scale batch and streaming platforms that directly power Patreon product features, analytics, and experimentation.
- Stand up and scale event-driven and streaming systems (Kafka, Kinesis, PubSub, or similar) for real-time data ingestion, transformation, aggregation, and delivery to different data storage systems.
- Build self-serve data platforms that let engineers, data scientists, and analysts safely discover data, define contracts, and create and operate pipelines with minimal friction.
- Partner with the broader Infrastructure, Platform, and product engineering to drive architectural decisions across storage, compute, deployment, and orchestration to align the data ecosystem with Patreon’s roadmap.
- Build the tooling, monitoring, and observability that gives engineers confidence in the data platform's reliability and performance.
- Mentor other engineers on infrastructure and streaming best practices, and help shape the long-term data infrastructure roadmap.
What you'll need:
- 8+ years of software engineering experience, including 4+ years focused on data or platform infrastructure.
- Deep, hands-on experience architecting both batch (Airflow, Dagster, or similar) and stream processing systems at scale (Spark, Flink, Kafka Streams, or similar).
- Familiarity with data quality, lineage, observability, and governance tooling.
- Strong programming skills in Python (Java, Scala, or Go a plus) and SQL.
- Familiarity with cloud infrastructure and broad fluency across data stores: Object storage (S3), RDMS (MySQL, or Postgres, etc.), Key value (DynamoDB), OLAP (Clickhouse, Pinot, or Druid, etc.), search/indexing (Elasticsearch) plus data flow patterns for keeping them in sync with source systems.
- Excellent collaboration and communication skills; comfortable driving cross-functional infrastructure decisions.
- Bachelor's degree in Computer Science, Computer Engineering, or a related field, or the equivalent.
Bonus if you have:
- Experience with Delta Lake/Iceberg, AWS, or Databricks.
- Contributed to open-source streaming or infrastructure tooling.
- Experience supporting ML/AI workflows, training pipelines, or evaluation systems.
We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you.
About Patreon
Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts:
- Put Creators First | They’re the reason we’re here. When creators win, we win.
- Build with Craft | We sign our name to every deliverable, just like the creators we serve.
- Make it Happen | We don’t quit. We learn and deliver.
- Win Together | We grow as individuals. We win as a team.
Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon.
Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching.
Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements.
At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role.
The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions.
Patreon reserves the right to modify or update compensation and benefits at any time.
Location: Budapest
The Wow
This role sits at the heart of our real-time data platform, empowering teams to build, deploy, and scale data products that drive critical business decisions and customer experiences.
You will design, develop, and operate the core platform capabilities that power streaming data pipelines, event-driven applications, and self-service data products. Working at the intersection of software engineering and data engineering, you will create scalable frameworks, tooling, and developer experiences that enable our teams to deliver reliable solutions with speed and confidence.
A taster of what you will be involved with:
Design and build scalable, reusable frameworks and services
for data ingestion, transformation, and processing.
Develop and maintain the platform's core capabilities, such as orchestration, data quality validation, and schema management tools.
Evolve the platform's architecture to incorporate new technologies that improve scalability, reliability, and cost-effectiveness.
Collaborate with Data DevOps Engineers to ensure platform features are automated, observable, and deployed via CI/CD.
Act as a key contributor to the platform's roadmap, identifying and prioritizing features that unlock the most value for its users.
What we are looking for:
Must haves:
University Degree in Computer Science, Engineering or equivalent.
At least 3 years of hands-on experience building and operating real-time or event-driven data platforms and streaming applications.
Strong software engineering fundamentals, with experience in a language like Python, Scala or Java.
Experience building reusable frameworks, libraries, or internal tools.
Deep knowledge of SQL
and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset.
Experience with data streaming technologies such as Kafka is a must.
Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala).
Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge.
Experience in NoSQL databases such as HBase, Cassandra, and DynamoDB.
Excellent verbal and writing English communication skills.
Nice to have:
Familiarity with real time reporting tools like Grafana or Datadog
Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault
Knowledge AWS services like Glue, Lambda, Step Functions and S3
Experience with orchestrating data pipelines using tools like Airflow.
Experience building or managing APIs and microservices.
Familiarity with infrastructure scripting like Terraform
and CI/CD practices.
What we offer
Fitness-wellness allowance
🧗♂️
Company mobile phone for private use with 100 GB
📱
Annual HUF devaluation compensation
💡
Hybrid model: 3 days in the office 🏢
& 2 days from home
🏠
Private Health Insurance
🩺
Career development
📈
Technical and soft-skill training opportunities 🎓
Breakfast, fruits & lunch 🍎
Team building events
🥳
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: Malta
The Wow
This role sits at the heart of our real-time data platform, empowering teams to build, deploy, and scale data products that drive critical business decisions and customer experiences.
You will design, develop, and operate the core platform capabilities that power streaming data pipelines, event-driven applications, and self-service data products. Working at the intersection of software engineering and data engineering, you will create scalable frameworks, tooling, and developer experiences that enable our teams to deliver reliable solutions with speed and confidence.
A taster of what you will be involved with:
Design and build scalable, reusable frameworks and services
for data ingestion, transformation, and processing.
Develop and maintain the platform's core capabilities, such as orchestration, data quality validation, and schema management tools.
Evolve the platform's architecture to incorporate new technologies that improve scalability, reliability, and cost-effectiveness.
Collaborate with Data DevOps Engineers to ensure platform features are automated, observable, and deployed via CI/CD.
Act as a key contributor to the platform's roadmap, identifying and prioritizing features that unlock the most value for its users.
What we are looking for:
Must haves:
University Degree in Computer Science, Engineering or equivalent.
At least 3 years of hands-on experience building and operating real-time or event-driven data platforms and streaming applications.
Strong software engineering fundamentals, with experience in a language like Python, Scala or Java.
Experience building reusable frameworks, libraries, or internal tools.
Deep knowledge of SQL
and data integration patterns. Experience in modern cloud database technologies such as Snowflake or Redshift are considered an asset.
Experience with data streaming technologies such as Kafka is a must.
Strong experience building distributed data processing workloads using Apache Spark (PySpark and/or Scala).
Hands-on experience designing and operating event-driven architectures on AWS, including services such as MSK, Kinesis Data Streams, EKS, EMR, Lambda, and EventBridge.
Experience in NoSQL databases such as HBase, Cassandra, and DynamoDB.
Excellent verbal and writing English communication skills.
Nice to have:
Familiarity with real time reporting tools like Grafana or Datadog
Familiarity with Data Modelling Concepts like Inmon, Kimball and Data Vault
Knowledge AWS services like Glue, Lambda, Step Functions and S3
Experience with orchestrating data pipelines using tools like Airflow.
Experience building or managing APIs and microservices.
Familiarity with infrastructure scripting like Terraform
and CI/CD practices.
What we offer
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Обязанности:
• Участие в проектах в качестве стажера – разработчика DWH, ETL, BigData
• Разработка сценариев обработки данных ETL, ELT
• Проектирование логических и физических моделей данных в DWH
• Написание проектной технической документации
• Знакомство с новыми продуктами и технологическими стеками
Требования:
• Высшее техническое образование или студент старших курсов
• Базовые знания SQL и СУБД
• Базовые знания DWH, Data Lake, ETL и желание развиваться в сфере работы с данными
• Знания англ. языка на техническом уровне или выше
• Пройденный офлайн/онлайн курс по любой из тем: СУБД, DWH, BigData, ETL (будет плюсом)
• Опыт построения моделей данных для СУБД в т.ч. с применением CASE-инструментов (будет плюсом)
• Знания принципов и методологий построения решений класса DWH (будет плюсом)
• Знания в части работы ETL-процессов и инструментов (будет плюсом)
• Знания в области БД (Hive, ClickHouse, GreenPlum, PostgreSQL, Oracle DB, MS SQL или другие) (будет плюсом)
• Знания языков программирования Python, Java, Scala и т.д. (будет плюсом)
Условия:
• Зарплату, соответствующую опыту и навыкам
• Прозрачную систему мотивации
• Работу в компании с аккредитацией в Минцифре
• Курсы и тренинги от корпоративного университета, внешнее обучение за счет компании
• Расширенный пакет ДМС со стоматологией и психологом, телемедицина 24/7, HotLineCROC
• Сезонные спортивные программы, современный спортзал для занятий в офисе, беговой клуб, приложение Croc Sport, командные соревнования
• Совместные путешествия, праздники, тимбилдинги, клуб путешественников
• Возможность гибко строить свой карьерный трек
• Выступать на внешних и внутренних митапах и конференциях, писать в техноблоги, участвовать в образовательных программах
• Компенсация питания в CROC Cafe, экосистема сервисов, парковка, корпоративный транспорт от метро
Location: Los Angeles, USA
Riot’s Data Engineers harness petabytes of data and state-of-the-art processing technologies to build products that elevate the player experience at massive scale. Turning this data into meaningful insights is a complex challenge, and our engineers meet it by staying deeply player-focused and collaborating across diverse teams to improve the lives of millions of players worldwide.
As a
Principal Data Engineer
supporting Riot’s Central Product Insights, you will design, build, and maintain scalable data pipelines and models that power critical data products, including centralized player data models, and publishing activity data systems. These systems support understanding of player onboarding funnels, engagement patterns, support efficiency, and content effectiveness. You will collaborate with product managers, analysts, and engineers to ensure our data infrastructure is reliable, performant, and directly tied to delivering better player experiences.
Responsibilities:
Design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights use cases, growth metrics, and other publishing/marketing focused data sets.
Design and implement data models using industry best practices that capture a complete ecosystem view of in- and out-of-game experiences, while ensuring accuracy, scalability, and long-term usability.
Architect and implement robust, maintainable, and high-performance data solutions.
Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage.
Mentor data engineers across all levels, setting best practices and fostering technical growth.
Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
Evaluate and adopt new tools, frameworks, and methodologies to advance data engineering capabilities.
Support cost optimization by ensuring scalable and efficient data solutions.
Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA).
Contribute to Riot’s Data Engineering discipline shaping infrastructure, craft standards, tooling, and organizational best practices
Required Qualifications:
Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
8+ years experience in tech-focused Publishing or Marketing fields.
8+ years experience in data engineering or a related field.
Strong Expertise in big-data technologies, including Python, GoLang, Spark, Scala, SQL, and tools like Airflow and dbt.
Proficiency in cloud infrastructure (AWS or GCP) and Databricks.
Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders.
Demonstrated ability to work cross-functionally with engineering, analytics, and product teams.
Proven experience mentoring and guiding other engineers.
Desired Qualifications:
Experience in gaming, large consumer platforms, or systems leading data modernization or transformation initiatives in a complex environment
Track record improving data maturity ( e.g. SLI’s/SLO governance, reliability standards) Experience designing semantic layers or standardized business metric frameworks
Background supporting advanced analytics use cases in high velocity product environments
Demonstrated ability to influence standards across teams in a matrixed organization
For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Задачи:
— Производить архитектурные предложения и принимать решения по развитию платформы и новым функциям.
— Выполнять полный цикл разработки функций: дизайн, кодирование, тестирование и деплой.
— Сотрудничать с продуктовыми командами для анализа технической осуществимости и информирования продуктовых решений.
— Наставлять младших инженеров через код-ревью, парное программирование и обсуждения дизайна.
— Вносить вклад в операционные руководства и надежность системы через реагирование на инциденты и анализ после них.
— Обеспечивать соблюдение методологий разработки и выявлять улучшения в кодовой базе, инструментах и процессах.
Требования:
— 5-7 лет опыта в разработке ПО, из них около 2 лет на уровне senior.
— Сильное владение JVM-языками (предпочтительно Kotlin, Java или Scala).
— Экспертиза в архитектуре микросервисов, RESTful API и паттернах распределенных систем.
— Опыт работы с GCP или другими крупными облачными провайдерами (AWS, Azure) и контейнеризацией (Docker, Kubernetes).
— Практический опыт с реляционными базами данных (Postgres) и моделированием данных.
— Практический опыт использования AI-инструментов (ChatGPT, Claude, Cursor, Copilot) и prompt engineering для задач разработки.
Будет плюсом:
— Опыт работы с потоковыми данными и технологиями обмена сообщениями, такими как Kafka, Spark или Storm.
Условия:
— Совместная работа в поддерживающей команде профессионалов.
— Возможность построить и развить надежную облачную инфраструктуру с нуля.
— Акцент на техническое лидерство и наставничество.
Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
Your job is to build Alpaca's algo trading platform to satisfy our users who expect high quality and performance from their brokerage service. This opportunity is similar to joining AWS or Heroku in their early days, designing and architecting our platform by wearing many different hats in our small team. As an experienced engineer, you will write tons of code and make critical decisions about delivering the best experience to our customers. This certainly requires deep knowledge in both frontend and backend, databases and distributed systems, as well as broad experience from low to high level in CPU-level hardware for high throughput, robust concurrency system design, abstract distributed system architecture for high availability and object-oriented data modeling with long term growth in mind. Joining an early stage startup, the payoff to this highly demanding environment will be worth the effort.
You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading).
Who You Are (Must-Haves):
Strong, experienced software engineer with lead experience is preferred
Coding skills in both low and high level languages around C/C++, Go, Zig, Rust, Java, Scala, Python
Low latency and high throughput optimization
Experience with messaging queues and message brokers
Analytical data-oriented mindset and skills
Knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems and concurrency control
System design skills with object-oriented data modeling, service-oriented architectures, system abstraction
Experience with the development and implementation of Order Management systems (OMS) and Risk Management systems (RMS)
Who You Might Be (Nice-to-Haves):
Algo trading experience (either professional or personal)
FIX protocol knowledge
Experience with observability, tracing, continuous profiling and benchmarking
Financial market (exchange, broker-dealers, clearing, etc.) knowledge
Experience with financial ledgers
Statistical and quantitative analysis skills
Experience with major cloud platforms (we primarily use GCP)
Experience with Docker and Kubernetes
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Задачи:
— Разработка и поддержка серверных приложений и RESTful API на Kotlin (Ktor или Spring Boot).
— Проектирование микросервисной архитектуры с паттернами межсервисного взаимодействия.
— Проектирование и оптимизация схем баз данных PostgreSQL/MongoDB, реализация кэширования (Redis).
— Интеграция брокеров сообщений (Kafka, RabbitMQ) для асинхронной и событийно-ориентированной обработки.
— Реализация аутентификации и авторизации (JWT, OAuth2), написание чистого и документированного кода.
— Контейнеризация приложений с Docker, оркестрация с Kubernetes, настройка CI/CD.
— Написание unit и интеграционных тестов (JUnit, MockK), оптимизация производительности.
— Взаимодействие с мобильными и фронтенд-командами по API контрактам, участие в код-ревью.
Требования:
— Опыт коммерческой backend-разработки на Kotlin от 3 лет.
— Глубокие знания Kotlin и практический опыт с Ktor или Spring Boot.
— Понимание REST API и опыт работы с PostgreSQL/MySQL и ORM.
— Практический опыт с Coroutines, Flow, брокерами сообщений (Kafka, RabbitMQ, Redis).
— Знание микросервисов, стратегий кэширования, контейнеризации (Docker, Kubernetes).
— Опыт работы с Git, CI/CD инструментами, тестовыми фреймворками (JUnit, MockK, Kotest).
— Базовые знания облачных платформ (AWS, GCP, Azure) и лучших практик безопасности.
— Сильные навыки решения проблем и умение работать в распределенной команде.
— Английский язык на уровне B2 и выше (письменно и устно).
Будет плюсом:
— Опыт с GraphQL, gRPC, event sourcing/CQRS.
— Знания Elasticsearch, serverless, распределенного трейсинга.
— Опыт с другими JVM-языками (Java, Scala), потоковой обработкой данных (Kafka Streams, Flink).
— Знакомство с поисковыми системами, MLOps, блокчейн-бэкендом.
— Вклад в open-source проекты на Kotlin или backend.
Условия:
— Удаленная работа, полный рабочий день, аутсорс/аутстафф.
— Географические ограничения: кандидаты из Египта, Индии, Пакистана и Афганистана не рассматриваются.
УдалённоmiddleЕгипет, Индия, Пакистан; Location: Remote, worldwide Restrictions: Candidates from Egypt, India, Pakistan, and Afghanistan are not considered English: B2+ Format: Full-time, outsource, outstaff CONTACT https://t.me/yaroslav_rr
Location: Remote (Peru)
At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo.
We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. This is a senior-level position with the opportunity to work remotely in
Peru.
Who you are
You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes.
You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline.
You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales.
You have an interest in and a curiosity about data platforms and the latest advances in data technology.
What you will be doing
Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles.
Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs.
Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in.
Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products.
Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse.
Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions.
Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise.
Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals.
Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought.
Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences.
Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work.
Why you should apply
You want to work with passionate and talented people who are always looking for ways to make things better.
You desire a work environment where respect, mutual trust, and egoless collaboration are paramount.
You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time.
You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring.
You want to work on products and accounts that have outsized impact and reach.
You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile.
You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company.
What you bring to the table
5-8+ years of data engineering experience with at least 4 years in production Databricks environments, preferably in a consulting or client delivery context.
Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus.
Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes.
Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale.
Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles.
Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code.
Understanding of data modeling, schema design, and query optimization.
Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders.
Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions.
Above-average discipline and personal organization skills.
Obvious comfort with critique and peer review in the context of an iterative development process.
A demonstrated hunger for personal and professional growth.
A self-evident love and care for the craft of data engineering.
Bonus points if you…
Have worked with real-time streaming technologies (Kafka, Kinesis, etc.).
Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus.
Have experience in healthcare or fintech domains.
Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines.
Have experience with Java, Go, or Scala.
Have strong illustration skills for technical diagramming and data architecture documentation.
Speak, write, and/or educate publicly about data engineering topics.
Have contributed to open-source data projects.
Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals.
Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator.
What to expect
When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc).
Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete.
Additional information
We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.
Location: Mexico
Company Background
Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.
Project Description
The role is focused on developing and modernizing real-time DSP serving services that process bid requests, deliver ads, integrate with third-party platforms, and record measurement events used for reporting and billing. The team works on high-throughput, low-latency systems processing millions of requests per second, with a strong focus on availability, data correctness, performance tuning, and scaling the platform for future growth. Current initiatives include splitting a monolith into microservices, improving deployment automation, and moving measurement pipelines from batch processing to real-time streaming with Kafka.
Technologies
Java
Kafka / Kinesis
Redis
S3
Tomcat
Docker, K8S
Git, CI/CD
What You'll Do
Develop critical high-performance, large-scale services for DSP programmatic integrations and platform products;
Work closely with the Product team to understand business needs and translate product requirements into technical solutions;
Write clean, efficient, and production-ready code with a strong focus on high throughput and low latency;
Design, develop, test, and improve new and existing platform features;
Contribute to building large-scale distributed systems processing billions of transactions per day under strict SLAs;
Improve test coverage, monitoring coverage, automation, and overall system observability;
Follow Agile methodologies and work in a fast-paced engineering environment with quick delivery cycles;
Job Requirements
5+ years of commercial experience in Java backend development, with a focus on scalable backend systems;
Strong knowledge of the JVM ecosystem, including garbage collection, profiling, and performance tuning;
Experience with distributed REST APIs, fault tolerance, scalability, consistency, and resilience;
Hands-on experience with low-latency and high-throughput services;
Experience with real-time streaming pipelines using Kafka, Kinesis, or similar technologies;
Strong knowledge of data structures and algorithms;
Experience with web/application servers such as Tomcat;
Solid understanding of networking and load balancing concepts;
Production experience with Docker and Kubernetes;
Experience with Git and CI/CD pipelines, such as GitLab CI/CD or similar tools;
Interest in applying modern technologies and AI-assisted development tools;
Readiness to participate in PagerDuty rotation (1 week per quarter);
Strong verbal and written communication skills, including the ability to explain complex technical trade-offs to both technical and non-technical stakeholders;
English: B2 or higher;
Nice To Have
Prior experience in the AdTech industry;
Familiarity with Python or Scala;
What Do We Offer
The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
Location: Remote - APAC
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
As a Staff Engineer, we want you to be responsible for designing, implementing, and maintaining the systems and services that form Alpaca's foundation and empower millions of users who trade billions of dollars worth of assets. We will look to you to contribute to regional recruitment initiatives, help drive cross-functional team projects, mentor teammates with respect to our engineering principles and practices, and foster Alpaca culture in the Japan region. We expect you to participate in operational reliability engineering during regional business hours, helping to ensure proactive 24x7 stability of our platform.
For this role, we are seeking an experienced backend engineer who is dedicated to delivering seamless and high-quality software solutions. The ideal candidate has a proven track record of designing and building scalable applications, is comfortable challenging conventions and advocating for innovative solutions, and can bridge engineering work with Japan-specific regulatory, vendor, and partner requirements. In this position, we would like you to have the autonomy to architect and implement solutions that meet our strategic objectives while also actively contributing to the goal-setting process alongside a collaborative, cross-functional team.
Things You Get To Do:
Design highly scalable, mission-critical brokerage systems for the Japan market.
Develop and enhance the middle- and back-office systems, including gRPC microservices, REST and gRPC APIs, and third-party vendor integrations specific to the Japan market (e.g.
JPX
,
JSCC
,
JASDEC
, banks, identity verification vendors).
Work closely with Alpaca's core teams to enhance and transform the core framework, enabling support for multiple languages, currencies, and markets, with a particular focus on Japan-specific requirements such as
NISA
, MyNumber, withholding tax, and JP-GAAP accounting.
Collaborate with tech leads in other regions both synchronously and asynchronously, primarily through Slack and meetings, to align with global teams.
Coordinate with local regulators, vendors, partners, and business stakeholders, and translate those requirements into technical specifications for the global engineering team.
Troubleshoot incidents and reported bugs to maintain system integrity and performance.
Participate in on-call rotations and assist with timely engineering projects and production issues during Japan business hours.
Thrive in a global environment, effectively navigating regulatory requirements and building scalable solutions to support Alpaca's expansion in Japan.
Who You Are (Must-Haves):
Business-level English fluency, with the ability to collaborate effectively in English-only team meetings, design discussions, code reviews, and written documentation.
Proven experience in designing and developing complex financial systems, preferably including double-entry accounting.
Strong understanding of accounting principles, ledger structures, and transaction reconciliation.
Experience in building scalable, high-availability financial applications that handle multi-currency transactions.
Familiarity with regulatory compliance requirements in financial markets, with a preference for experience in Japan (
FIEA
,
FSA
,
JSDA
,
JIPF
, or related frameworks).
Proficiency in at least one statically typed language (e.g. Go, Rust, Java, Kotlin, C#, Scala, or C++), with expertise in designing robust and efficient system architectures.
Experience working with financial APIs, market data integrations, and trade settlement processes.
Strong communication skills to collaborate effectively with global teams, local regulators, vendors, and internal stakeholders, bridging Japanese and English contexts.
Strong computer science fundamentals and proven software engineering architecture experience.
Ability to work independently in a fully remote, globally distributed team, and under pressure in a fast-paced environment.
Strategic thinking and the ability to translate technical concepts into business strategies.
Experience with domain-driven design and event-driven design.
Strong problem-solving skills paired with a proactive mindset.
Ability to lead and troubleshoot incidents or bugs with authority during Japan business hours.
Who You Might Be (Nice-To-Haves):
Business level and above in Japanese, with the ability to read, write, and communicate professionally with local regulators, vendors, and partners
Experience in the Japanese financial services sector (securities firms, banks, brokerages, or fintech).
Hands-on experience integrating with Japan market infrastructure such as
JPX
(
TSE
/
OSE
),
JSCC
,
JASDEC
, or major Japanese banks.
Experience with Japan-specific products such as
NISA
, iDeCo, tokutei-koza, or MyNumber handling.
Experience working in a startup or fast-growing technology company.
Knowledge of emerging technologies.
Experience or passion for financial markets.
Experience managing vendors and organizational budgeting.
Experience working with global, English-speaking teams across multiple time zones.
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
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United States, San Diego, CA; Experience collaborating with globally distributed engineering teams across multiple organizations and time zones to deliver shared platform capabilities and drive technical alignment
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