Hadoop Jobs in United Kingdom.
All active Hadoop roles based in United Kingdom.
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Senior Software Engineer, Data - Advertising Engineering
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Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams.
We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.
Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics.
About the role
We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.
You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.
The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results.
What you’ll be doing
Software Development
- Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.
- Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews.
Big Data Engineering
- Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.
- Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.
- Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.
- Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.
Collaboration & Mentorship
- Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.
- Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering.
We’re excited if you have
- 10+ years professional software development experience.
- Experience building highly scalable, low-latency REST services and API frameworks.
- Able to efficiently write SQL queries and analyze results to explore business problems and inquiries.
- Ability to translate queries and reporting requirements into production-level data processing pipelines.
- Proficient in day-to-day use of Python / Java / Scala.
- Strong understanding of and experience with distributed computing frameworks like Hive/Hadoop and Apache Spark.
- Expertise in data modeling, schema design, and data visualization tools.
- Experience working in GCP and/or AWS is a plus.
- Experience with JavaScript, Node.js and React is nice to have.
- Experience deploying services on Kubernetes is a plus.
- Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform) is a plus.
- Background in computer science or similar quantitative field.
#LI-GL1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Partner Solutions Architect
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SLSQ427R253
As a Partner Solutions Architect for Europe, you will work with the technical and sales team members who work directly with our customers. You will develop 'technical champions’ within our top Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers achieve tangible, data-driven outcomes through our Databricks Data Intelligence Platform, enabling data teams to complete projects and integrate them into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open source projects such as Apache Spark™, MLflow, and Delta Lake, and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners.
The impact you will have:
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Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks, including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem.
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Engage with the partner technical community by leading workshops, seminars, and meet-ups.
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You will be a big data analytics expert in architecture and design, and will share this knowledge with our partner network.
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Show expertise by producing creative technical solutions and blog posts.
What we look for:
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8 years of customer-facing experience working with external clients or partners across a variety of industry markets
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Core strength in either data engineering or data science
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Experience demonstrating technical concepts, including presenting and whiteboarding
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Experience developing architectures within a public cloud (AWS, Azure, or GCP)
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Hands-on experience in SQL, Python, Scala, or Java
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Expertise in at least one of the following:
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Data Engineering technologies (Ex, Apache Spark™, Hadoop, Kafka)
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Data Warehousing (Ex, SQL, OLTP/OLAP/DSS)
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Data Science and Machine Learning technologies (Ex, pandas, scikit-learn, HPO)
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Senior Software Engineer (Data Platform, C++)
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products.
Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform.
Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense.
At scale today, this includes~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute.
What’s inside the platform
You’ll work on a system that includes (and ties together):
- Distributed Storage (Cypress): transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations.
- Compute & ETL: a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering.
- Interactive analytics (CHYT): ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place.
- Dynamic Tables: low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores.
- Orchestracto: workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native).
What you’ll do
We’re looking for engineers who combine strong systems skills with product sense: understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization.
In this role, you will:
- Design and implement new functionality in YTsaurus core (C++) with production reliability in mind.
- Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases.
- Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation.
- Own production quality: incident response / on-call rotation, root cause analysis, and turning learnings into durable fixes.
Example projects
- Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth.
- Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection.
- Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows.
- Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability.
- Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths.
Tech stack
- Core: modern C++ (C++20, async + multithreaded primitives)
- Services & tooling: Go and Python (microservices, utilities, integration tests)
What we expect
- 5+ years of software engineering experience.
- Strong C++ skills (you’ll write core code).
- Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them).
- Experience developing and/or operating high-load, distributed services.
- Production mindset: ability to use SSH, read logs/metrics/traces, and debug distributed systems behavior.
- Solid CS fundamentals: algorithms, data structures, concurrency basics.
Nice to have
- Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems).
- Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering.
- Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs).
We conduct coding interviews as part of the process.
Benefits & Perks:
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
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Junior Data Infrastructure Engineer
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As part of the Data Infrastructure team you will be supporting mission critical big data platforms, to ensure they are fully performant, reliable, available and secure. We call it data infrastructure engineering, also known as DataOps or Database Administration or SRE.
The role is a mixture of development of tooling and operational support for our platforms, two aspects that go hand-in-hand. It requires attention to detail and curiousity about how the systems work under the hood, and gives you a wide base of skills from low level system tuning to general coding.
We manage four main storage platforms, namely:
- Apache Solr (~2.2 PB)
- Apache HBase (~450 TB)
- PostgreSQL (~15 TB)
- Kafka (~60 TB)
These platforms are all open source, written in Java, Scala or C, and we maintain in-house builds and patching of them. We use a variety of open-source and in-house developed tooling to manage these services, mostly written in Rust and Python, which run primarily on hundreds of servers in multiple data centres and in the cloud.
We maintain a balance between project work and operational/ad-hoc work for all members in the team, whether they are senior or recent graduates, and your day-to-day work will be a mix of these.
The exact project work will depend on your experience, but we will scope it out collectively to ensure it is both achievable and delivers benefit. Some example projects given to recent graduates are:
- Coding mapreduce jobs to validate data between two multi-TB+ hbase clusters (to run in hours rather than months)
- Building out a python code stack to transparently migrate production clients between clusters (without losing any data or requiring any downtime)
- Building and testing new HBase builds and deploying them live (without putting everyone in Brandwatch out of a job)
- Creating a platform for rolling out our data management systems using Apache Airflow (to stop people re-writing custom job management systems)
- Rolling out a DR solution for hadoop on AWS (while keeping the system performant and not bankrupting the company)
If you're joining the team as a graduate engineer we'll be focusing on developing your knowledge of the storage platforms, how to program against them and how to troubleshoot issues. The aim is that you'd be able to help with the staging support by 3-6 months, and join the rest of the team supporting the production systems in 12 months. You'll also be expected to take a full part in the life of the team and, as your experience grows, start designing the infrastructure we run.
This role is based in Brighton, UK, but working remotely will be possible once the initial 6-12 months of training is complete.
Who we are looking for
In house training for the storage systems and our tooling is a necessary part of this role, but we are looking for someone with a keen interest in large scale storage infrastructure.A successful candidate will be expected to have the following:
- An interest in how computer infrastructure actually works, and a passion for learning
- Interest, and ideally production experience, running storage systems, eg. as part of a selfhosted service, a home lab or as part of academic studies
- Experience with Linux systems administration, including experience of trouble shooting
- Fluency with one or more scripting languages, ideally Bash or Python
- Experience helping your peers
- Pride in the quality of your work
- Experience with any of the following will be beneficial:
- Development experience, in Python, Java, Rust, C/C++ or Golang.
- Upstream open-source contributions
- Academic research in scalability, distributed systems or storage infrastructure
- Kubernetes experience, ideally running or writing Operators Experience with Docker and with CI/CD pipelines
Ready to apply?
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Technical Support Engineer
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
What to know about the Dataiku Support Team
At Dataiku, the Support organization is a fully remote team focused on enabling our customers and helping them work through any technical issues or questions related to our Everyday AI Platform (DSS). We are a rapidly scaling and globally distributed team, with members spanning 10+ countries and across 3 major continents. Our focus is to take our growth to the next stage by building out an enterprise-grade global support function.
How you’ll make an impact
We are looking for an experienced technical support engineer who is comfortable working in a complex and dynamic environment and who can help contribute to the growth of our global support function as we continue to scale up our operations. As a Technical Support Engineer, you will help our EMEA and global customers solve their wide range of technical issues with Dataiku, such as installation, security, and integration with other big data technologies. You will also collaborate with various internal teams to solve and escalate customer issues as needed.
Some expected outcomes for this role
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Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels
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Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement
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Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution
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Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise
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Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment
What you’ll need to be successful
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At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product
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Experience with cloud platforms such as AWS, Azure, and GCP
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Experience with Docker and Kubernetes
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Collaborative and helpful mindset with a focus on always working as a team
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A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors
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Proficiency working with Unix-based operating systems
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Experience with relational databases (or data warehouses like Snowflake) and SQL
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Ability to read and write Python or R code
What will make you stand out
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Experience with big data technologies, such as Hadoop or Spark
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Experience with authentication and authorization systems such as LDAP, SAML, and Kerberos
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Experience with ML models and LLMs
What does the hiring process look like? #LI-Remote #LI-AN1
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Initial call with a member of our Technical Recruiting team
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Video call with the Technical Support Manager
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Technical Assessment to show your skills (Home Test)
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A technical interview with the TSE team to build on the assessment you completed
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Final Interview with the VP Technical Support
Ready to apply?
Apply to Dataiku
Data Architect
A few words about us:
First things first… What will you become a part of? Valtech is the experience innovation company, combining the uncommon to unlock a better way for people to experience the world. We work at the intersection of diverse disciplines, cultures and perspectives to create solutions that achieve the exceptional – helping brands make the leap beyond the competition and become leaders in a digital world
We deliver innovation with a purpose. With expertise across experience design, technology and marketing, our passion is in addressing transformational business challenges for our clients. Challenges where we re-imagine the customer journey and build new connected experiences. Challenges where we make data work in this new era and help our clients transform the way they operate and optimise business-critical digital platforms for multichannel commerce and marketing.
From discovery to optimisation, clients trust Valtech to remove complexity and deliver innovative, frictionless solutions that close the experience gap between customer expectation and reality. We are a network of more than 6,500 makers, thinkers, marketers, creatives, and developers spanning 5 continents with 60+ offices in 20+ countries.
The Role:
You’ll take overall responsibility on behalf of Valtech for the design and quality of data-centric solutions delivered to our customers. Our architects are involved in the detail, and you can expect to work closely with the engineering team. You’re also likely to become a ‘go-to’ authority within the company when it comes to data solutions, keeping up to date with industry developments and using your experience to assess the risk profiles of new projects.
What you will be doing:
You will have a broad responsibility for coordinating, leading and delivering solutions, this will include:
- Architectural design for new systems, primarily focused on data flow pipelines, storage and analytics
- Analysis of business problems to understand system requirements, including quality attributes such as performance, availability and security
- Undertaking information assurance where required
- Engagement of technical and non-technical customer stakeholders at various levels in the organisation, advising and managing expectations where required
- Technology evaluation / assessment; identifying & recommending platforms and services.
- Technical leadership of engineering teams, including mentoring where needed
- Representing the company in public forums
- Be instrumental in helping to build an Architecture function and work alongside a strong team of Data Scientists, Analysts and Data Engineers.
Our preferred candidate:
You’ll have several years of experience, having gone through the full project lifecycle on numerous occasions; you’ve seen how design decisions play out in production. You may have worked in traditional data warehousing environments, but you are up to speed with more contemporary data architectures based on open source technologies.
Essential Expertise:
- Strong written, diagrammatic and spoken communication; ability to present to senior stakeholders
- Experience with varied types of data: tabular, connected, time-series, geospatial, image, etc.
- Different types of database – relational; document; graph; columnar; key-value
- Large scale data processing platforms, typically based on Hadoop / Spark
- Business intelligence / analytics products or frameworks
- Data visualisation frameworks
- Data analysis and data modelling requirements
- Experience working with cloud platforms and working with relevant PaaS / SaaS offerings.
- Knowledge of data integration technologies
- Knowledge of distributed computing & information security
- Programming experience in languages such as Java or Python is a bonus.
- While you may not have an exclusively agile background, you strive to work to these principles.
Valtech Benefits:
Here at Valtech we’re big believers that our staff are our most important asset, and as such we want to make sure we look after you.
As well as all the usual corporate benefits (hybrid & flexible working, pension, life insurance, 25 days holiday, phone, laptop, private healthcare & dental etc), we pride ourselves on our commitment to continuous learning and development, which means you’ll have a clear growth and development path, alongside access to professional coaching and online learning courses.
You’ll be joining an inclusive and diverse workforce, working on truly exciting projects with collaborative teams at a local and global level, with a big focus on health and social well-being (Cycle to Work Scheme, Employee Assistance Programme, eye tests, Flu Jab, regular Company Days etc).
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
Your application process
Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud!
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
Ready to apply?
Apply to Valtech
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About The Team
The Roku Enterprise Engineering team is at the forefront of building a robust, integrated, and scalable platform that powers critical business processes across the organization. As a cornerstone of Roku's corporate strategy, this team is instrumental in automating workflows across all Business Systems, including Supply Chain, Finance, Sales Operations, and Human Resources. By challenging traditional approaches to workflow automation, the team leverages cutting-edge Engineering practices and API-driven design to streamline internal processes, boost efficiency, and deliver innovative solutions.
The team's expertise spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives to solve complex challenges. At the heart of their success is a shared commitment to technical excellence, creativity, a strong sense of ownership, and a collaborative spirit that drives impactful results for Roku's business operations.
About The Role
As a senior technical lead, you consider yourself a platform services developer and developing innovative solutions using modern software frameworks and paradigms. You are self-driven and problem solver, with a strong background in building large-scale software platform and applications. You are execution focused and would develop a reputation for repeatedly delivering projects on-time.
What you'll be doing
- Design, develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to use case and data model design
- Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline
- Partner with security and compliance teams to ensure the application meets compliance, security and audit requirements
- Participate in the continual improvement of engineering tools, cloud-based technologies/services, and process
- Define and participate in Agile development process, including scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support
- Collaborate with cross-function teams and demonstrate great communication skills
We're excited if you have
- 5+ years of experience in delivery multi-tier, highly scalable, distributed web application
- Deep understanding in software architecture, object-oriented design principles, and data structures
- Extensive experience in developing microservices using Java, Python
- Good experience in Test driven development and automating test cases using Java/ Python
- Experience in SQL / NoSQL (Oracle, Cassandra) database design
- Demonstrated ability to be proactive, self-driven, and make practical trade-offs based on business needs, entrepreneurial spirit
- Excellent verbal and written communication skills
- BS or MS degree in Computer Science or equivalent
- Experience in distributed computing frameworks like - Hive/Hadoop, Apache Spark
- Experience in developing Finance or HR related applications
- Experience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache, Lambda
- Working experience with Terraform
- Experience in creating workflows for Apache Airflow
#LI-GL1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
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Apply to Roku
Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About The Team
The Roku Enterprise Engineering team is at the forefront of building a robust, integrated, and scalable platform that powers critical business processes across the organization. As a cornerstone of Roku's corporate strategy, this team is instrumental in automating workflows across all Business Systems, including Supply Chain, Finance, Sales Operations, and Human Resources. By challenging traditional approaches to workflow automation, the team leverages cutting-edge Engineering practices and API-driven design to streamline internal processes, boost efficiency, and deliver innovative solutions.
The team's expertise spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives to solve complex challenges. At the heart of their success is a shared commitment to technical excellence, creativity, a strong sense of ownership, and a collaborative spirit that drives impactful results for Roku's business operations.
About The Role
As a senior technical lead, you consider yourself a platform services developer and developing innovative solutions using modern software frameworks and paradigms. You are self-driven and problem solver, with a strong background in building large-scale software platform and applications. You are execution focused and would develop a reputation for repeatedly delivering projects on-time.
What you'll be doing
- Design, develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to use case and data model design
- Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline
- Partner with security and compliance teams to ensure the application meets compliance, security and audit requirements
- Participate in the continual improvement of engineering tools, cloud-based technologies/services, and process
- Define and participate in Agile development process, including scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support
- Collaborate with cross-function teams and demonstrate great communication skills
We're excited if you have
- 5+ years of experience in delivery multi-tier, highly scalable, distributed web application
- Deep understanding in software architecture, object-oriented design principles, and data structures
- Extensive experience in developing microservices using Java, Python
- Good experience in Test driven development and automating test cases using Java/ Python
- Experience in SQL / NoSQL (Oracle, Cassandra) database design
- Demonstrated ability to be proactive, self-driven, and make practical trade-offs based on business needs, entrepreneurial spirit
- Excellent verbal and written communication skills
- BS or MS degree in Computer Science or equivalent
- Experience in distributed computing frameworks like - Hive/Hadoop, Apache Spark
- Experience in developing Finance or HR related applications
- Experience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache, Lambda
- Working experience with Terraform
- Experience in creating workflows for Apache Airflow
#LI-GL1
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.
Ready to apply?
Apply to Roku