About the Team

The Enterprise Engineering team builds and maintains the internal tools and platforms that power Roku's business operations, from accounting and finance systems to partner management and content operations. We work at the intersection of technology and business, delivering full-stack web applications that enable Roku to operate at scale. Our team values pragmatic engineering, high-quality test coverage, and leveraging AI to ship faster without sacrificing reliability.

About the Role

We are looking for a Senior Software Engineer with deep backend expertise in TypeScript/Node.js to join our Enterprise Engineering Web Applications team. You will design, build, and maintain backend services and APIs that support Roku's first-party enterprise tools with a focus on the accounting and finance domain. You'll also contribute to frontend development using modern frameworks and own end-to-end quality through test automation.

This is an AI-first engineering role. You will be expected to integrate AI tools and agentic workflows into your daily development process, using them to accelerate delivery, improve code quality, and build smarter internal tools.

What You'll Be Doing

• Design and implement backend services and APIs in TypeScript/Node.js
• Build and maintain full-stack enterprise applications supporting accounting, finance, and business operations
• Architect solutions that are reliable, maintainable, and scalable for internal business-critical workflows
• Own end-to-end test automation by building and maintaining E2E test suites
• Collaborate with finance and accounting stakeholders to translate business requirements into technical solutions
• Use AI coding tools (Claude, Copilot, OpenCode, etc.) as core parts of your development workflow
• Build and improve internal developer tooling, automation, and agentic workflows
• Participate in technical design discussions, and mentoring of team members

We're Excited If You Have

• 7+ years of relevant software development experience
• Strong backend development expertise in TypeScript and Node.js, with Java and Python experience nice-to-have
• Experience building and shipping production web applications with modern frameworks (React, Next.js, or similar)
• Hands-on experience with end-to-end test automation frameworks (Playwright, Cypress, or similar)
• Experience with relational databases (PostgreSQL, MySQL) and data modeling
• Experience with cloud platforms (AWS, GCP, or Azure)
• Experience with Kubernetes
• Experience in a globally distributed team

#LI-JB6

About the Team 

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. 

We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache 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. 

In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and 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 audience management workflows. 

• Write clean, maintainable, and efficient code, 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 using Apache Spark for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

API and Platform Development

• Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, 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 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following ScyllaDB and Aerospike (preferred). 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and audience management. (preferred)

• Strong programming skills in Python, Java, and/or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred) 

• Expertise in data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred) 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

#LI-GL1

About the Team 

The DMP team plays a critical role in Roku’s Advertising organization, leading initiatives around audience management that power decision-making across the advertising ecosystem. We develop and manage products that enable advanced segmentation and audience management for advertisers while meeting the operational needs of internal teams. 

We work closely with Product Managers, Machine Learning, Ad Sales, Ads Operations, and multiple groups within Advertising Engineering to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven capabilities to further enhance the effectiveness of advertising campaigns and improve operational efficiency of our platforms. 

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache 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. 

In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products and APIs that power critical capabilities across the advertising platform. You will work with technologies such as Apache Spark, Apache Airflow, ScyllaDB/Cassandra, Aerospike, Kubernetes, and SpringBoot to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and 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 audience management workflows. 

• Write clean, maintainable, and efficient code, 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 using Apache Spark for large-scale datasets. 

• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency. 

API and Platform Development

• Design, Development, and maintain large scale, low latency API systems using SpringBoot and Kubernetes

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, 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 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following ScyllaDB and Aerospike (preferred). 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Exceptional problem-solving abilities and the capacity to work independently or collaboratively. 

• Excellent verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and audience management. (preferred)

• Strong programming skills in Python, Java, and/or Scala. (preferred) 

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Jenkins & Terraform). (preferred) 

• Expertise in data modeling, schema design, and data visualization tools. Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred) 

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

#LI-GL1

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 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following: Apache Druid, StarRocks, and Trino. 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Strong programming skills in Java, Python, or Scala.

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Expertise in data modeling, schema design, and data visualization tools.

• Experience building highly scalable, low-latency, APIs.

• Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed. 

• Exceptional verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred) 

• Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)  

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

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 

• 8+ years of experience in software and/or data engineering with expertise in big data technologies such as Apache Spark, Apache Airflow. 

• Expertise with at least one of the following: Apache Druid, StarRocks, and Trino. 

• Strong understanding of SOLID principles and distributed systems architecture. 

• Proven experience in distributed data processing, data warehousing, and real-time data pipelines. 

• Strong programming skills in Java, Python, or Scala.

• Advanced SQL skills, with expertise in query optimization for large datasets. 

• Expertise in data modeling, schema design, and data visualization tools.

• Experience building highly scalable, low-latency, APIs.

• Exceptional problem-solving abilities and the capacity to work both independently and collaboratively as needed. 

• Exceptional verbal and written communication skills. 

• Experience with cloud platforms such as AWS, GCP, or Azure, and containerization tools like Docker and Kubernetes. (preferred) 

• Experience in AdTech, in advertising data platforms and campaign measurement. (preferred)

• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform). (preferred) 

• Experience with building Agentic AI systems to automate decision-making and enhance analytics workflows. (preferred)  

• Bachelor's degree in computer science, Engineering, or a related field (or equivalent experience). 

About the team

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will build teams focused on the Ads Auction and Marketplace to optimize yield, gross profit, perform realtime multi-objective optimization across various short and long term objectives, build control and simulation systems, design and run experiments and extend the experimentation framework. 

You will partner closely with other Engineering, Inventory and Product teams to define the vision and strategy for your group and to build and deliver the roadmap.

What you’ll be doing

• Lead the design, implementation, and evolution of real-time ads auction systems powering Roku’s CTV advertising across The Roku Channel and the Roku platform.
• Own and enhance core auction capabilities including ad pod construction, bid evaluation, ranking, pricing, pacing, budget enforcement, and frequency capping.
• Build low-latency, highly reliable distributed services that operate at massive scale, serving billions of ad opportunities with strict latency and uptime requirements.
• Design auction logic that balances viewer experience (ad load, relevance, repetition) with advertiser performance, publisher yield, and platform revenue.
• Develop and optimize SSP-side auction mechanisms, integrating with multiple DSPs, programmatic demand sources, and direct-sold campaigns.
• Partner closely with product managers, data science, ads research teams to translate marketplace and monetization goals into scalable technical solutions.
• Drive yield optimization through auction design, demand shaping, floor strategies, and pricing experiments.
• Lead experimentation using A/B testing, auction simulations, and offline replay frameworks, and make data-driven decisions based on performance metrics and statistical rigor.
• Ensure auction correctness, fairness, explainability, and transparency, while maintaining compliance with privacy, regulatory, and brand-safety requirements.
• Influence the long-term technical roadmap for Roku Ads by proposing architecture improvements, scalability strategies, and performance optimizations.

We are excited if you have

• 5+ years of experience building large-scale distributed systems
• 5+ years working with cloud-based platforms and infrastructure
• Deep experience in building microservices using Java for container platforms such as Docker or Kubernetes
• Solid understanding of databases SQL and NoSQL
• Hands-on Experience working with AWS, GCP or similar cloud services
• Experience with a breadth of protocols and data formats such as REST, WebSockets, HTTPS, JSON, and Protobuf
• Demonstrated ability to drive timely consensus in design with other senior team members
• Bachelors or Master's degree in Computer Science, Engineering, or equivalent

#LI-MS3

About the team

This team spends most of its time working on customer focused features that improve the user experience, from content discovery and search to Roku pay and subscription to embedded software and firmware, and much more. Our product roadmap helps us accelerate our growth and scale, putting surprising new features into the hands of tens of millions of Roku users worldwide.
Our developers and engineers are owners. They are motivated from within, finding and taking on a feature or project simply because that problem needs to be solved and shipped. But that individual must work together with different engineering teams, UI design, product teams, and business leadership to make things happen, which means that engineers succeed here because they can maintain that independent spirit and motivation within a deeply collaborative environment. We are the pragmatic dreamers inventing and re-inventing the world of streaming media.

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television and streaming media worldwide, continued success stems from experienced software engineers like you developing core features for the Roku platform.
Our new Senior Software Engineer, Embedded will be contributing extensively to our embedded UI development, algorithm implementation for complex features to make it more user intuitive and underlying architecture. You will be working closely with product management to understand new features or extending current features for international market needs, development using modern C++ libraries/frameworks, scripting language and integration of third-party code. You will also be engaged in developing tools which can help larger development community within Roku. A proven track record of shipping high-quality software on embedded platforms is essential. This is a great role for a senior professional who enjoys a high level of visibility and thrives on great business impact.
The features and performance improvements you implement directly impact millions of users every day. This is a great role for an experienced professional who has innovative ideas for complex problems and can translate these ideas into ultra-reliable software.

What you’ll be doing

• Creating C++ and Embedded Linux and Native Applications
• Developing UI applications using popular frameworks such as JavaScript, BrightScript and similar languages
• Working closely with Cross Functional teams to contribute to our application development
• Developing core features for the Roku OS Application framework
• Investigating, diagnosing and resolving issues
• Writing functional and integration tests
• Designing and shipping high-quality software on the Roku embedded platform

We’re excited if you have

• Extensive experience with C or C++ and Embedded Linux or Native Application Development
• In-depth understanding of Linux, tools, libraries, and open source development
• Experience developing UI applications using popular frameworks such as ReactJS
• Experience with Python, JavaScript, BrightScript, or similar languages
• Proven track record of designing and shipping high-quality software on an embedded platform
• Experience with OpenGL, DirectX, or any other graphics APIs
• Experience writing functional and integration tests
• Good understanding of Core OS concepts like memory management and multi-threading
• A good understanding of API design, considerations and trade-offs
• Consumer electronics experience building Media/Content and/or Ad product
• Strong verbal and written communication skills (this role involves frequent communication with teams throughout Roku)
• Bachelors or Masters in Computer Science or related fields

#LI-NM1

About The Role

As a Senior Software Engineer, Android on the Roku Mobile App team, you will help shape the future of how millions of users interact with their Roku Streaming Devices. You’ll work on building intuitive, reliable, and highly performant Android experiences that allow customers to monitor and control Roku streaming devices from TVs to Players and beyond.

This role offers the opportunity to work across a modern, evolving tech stack including Kotlin, Compose, and Googles’s latest frameworks. You’ll collaborate closely with design, product, and cross-functional engineering teams to bring innovative features to life, improve performance, and make every day smart home interactions seamless.

You should be motivated by curiosity and initiative, eager to take ownership of features and run with them, while remaining grounded in a team-first, collaborative mindset.

About The Team

You will be joining a talented, high-performance team with a history of delivery. We are looking for someone who can help us keep up this pace and continue delivering high-quality app as we grow.

With so many people using our products globally, we’ve become well-known for products that “just work” right out of the box and integrate almost by magic. That doesn’t happen by accident, which is why we are committed to making sure our products aren’t just intuitive, they’re obvious

What You’ll Be Doing

• Design and build advanced applications and features for the Android platform
• Integrate with cloud APIs and local device communication protocols to control smart devices
• Write and maintain tests using frameworks such as JUnit and Espresso
• Collaborate with cross-functional teams to define, design, and ship new features for mobile devices, optimizing for touch experiences. Write well-designed, testable, and efficient code
• Debug, profile, and optimize app performance across a range of Android devices
• Participate in design and code reviews, helping elevate code quality across the team
• Stay up to date with Android platform capabilities, tools, and libraries, and propose how we can leverage them
• Contribute to roadmap planning, technical design, and release delivery

We’re Excited If You Have

• Professional Android development experience, ideally with Kotlin and/or Compose
• Strong experience shipping and maintaining production apps in the Play Store
• Proficiency in using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering
• Experience working with IoT or networked device interactions is a big plus
• Familiarity with BLE, webs sockets, or MQTT protocols is a bonus
• Experience collaborating with cross-functional teams in agile environments
• Proficient in the Android development toolset
• Strong understanding of Android architecture, UI/UX patterns, and app lifecycle
• Excellent communication and debugging skills
• Bachelor’s or Master’s/PHD in Computer Science or related technical field

#LI-AM3

About The Role

As a Senior Software Engineer, Android on the Roku Mobile App team, you will help shape the future of how millions of users interact with their Roku Streaming Devices. You’ll work on building intuitive, reliable, and highly performant Android experiences that allow customers to monitor and control Roku streaming devices from TVs to Players and beyond.

This role offers the opportunity to work across a modern, evolving tech stack including Kotlin, Compose, and Googles’s latest frameworks. You’ll collaborate closely with design, product, and cross-functional engineering teams to bring innovative features to life, improve performance, and make every day smart home interactions seamless.

You should be motivated by curiosity and initiative, eager to take ownership of features and run with them, while remaining grounded in a team-first, collaborative mindset.

About The Team

You will be joining a talented, high-performance team with a history of delivery. We are looking for someone who can help us keep up this pace and continue delivering high-quality app as we grow.

With so many people using our products globally, we’ve become well-known for products that “just work” right out of the box and integrate almost by magic. That doesn’t happen by accident, which is why we are committed to making sure our products aren’t just intuitive, they’re obvious

What You’ll Be Doing

• Design and build advanced applications and features for the Android platform
• Integrate with cloud APIs and local device communication protocols to control smart devices
• Write and maintain tests using frameworks such as JUnit and Espresso
• Collaborate with cross-functional teams to define, design, and ship new features for mobile devices, optimizing for touch experiences. Write well-designed, testable, and efficient code
• Debug, profile, and optimize app performance across a range of Android devices
• Participate in design and code reviews, helping elevate code quality across the team
• Stay up to date with Android platform capabilities, tools, and libraries, and propose how we can leverage them
• Contribute to roadmap planning, technical design, and release delivery

We’re Excited If You Have

• Professional Android development experience, ideally with Kotlin and/or Compose
• Strong experience shipping and maintaining production apps in the Play Store
• Proficiency in using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering
• Experience working with IoT or networked device interactions is a big plus
• Familiarity with BLE, webs sockets, or MQTT protocols is a bonus
• Experience collaborating with cross-functional teams in agile environments
• Proficient in the Android development toolset
• Strong understanding of Android architecture, UI/UX patterns, and app lifecycle
• Excellent communication and debugging skills
• Bachelor’s or Master’s/PHD in Computer Science or related technical field, or relevant professional experience. 

#LI-AM3

About the team

Roku's Web Engineering team is responsible for the development and support of Roku's web application framework, design system, a host of consumer-facing web properties, web applications and an ecosystem of web services tied to content management systems, automated publishing tools, internationalization/localization, deployments and build tools, and much more. Our goal is to empower our community of web developers to build and deploy user-friendly, secure, user accessible, SEO-friendly and highly performant applications with the proper Roku branding and UX consistency.

About the role

Roku is seeking an experienced and versatile Sr. Software Engineer supporting the development of privacy-enhancing technologies to support our users globally. As a natural born problem solver, you love taking on new challenges, learn quickly/eagerly, are concise and articulate in speech and writing, make tough decisions without excessive agonizing, challenge norms and deliver great results. You will scale the platform to manage our growing consumer base.

What you’ll be doing

• Full-stack web developer passionate about the customer journey and developing innovative solutions using modern web technologies.
• Hands-on coding to implement the design of highly scalable solutions
• Opportunity to embark on a large, technically challenging project that will have a large impact for our millions of users and will lay the groundwork for many years to come.
• Explore emerging technologies and quickly adapt for better results
• Work in an agile fast-paced development environment
• Collaborate with the larger engineering team on business and architecture proposals

We’re excited if you have

• 5+ years of software development experience in platform or full-stack engineering
• Expertise in modern frontend web application development using Javascript or Typescript, and frameworks/libraries such as NodeJS, AngularJS, Bootstrap, ReactJS, Express, Material UI
• Expertise in object-oriented programming  and solid understanding of concurrent programming and data structures
• Experience with data modeling and storage with NoSQL data solutions
• Experience with scaling / performance tuning of highly available web services and systems
• Ability to decompose complex problems into manageable units of work
• Micro-service based architecture and systems integration
• Demonstrated leadership, people management and communication skills
• BS or MS degree in Computer Science or equivalent

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. 

About the Role

This is a senior software engineering role where you will architect, design, implement and test the run-time and native renderer of Roku's software development kit. You will partner with engineers who build the higher level scripting parts of Roku’s SDK.

Roku prides itself in building software and features which run well on our oldest devices, while taking advantage of our latest ones. To this end, the software development kit will need to be designed and implemented from the get go to run well on devices with extremely limited system resources like RAM, Flash and CPU.

What you’ll be doing

• Architect, design, implement and test the run-time and native renderer of Roku's software development kit.

• Partner with engineers who build the higher level scripting parts of Roku’s software development kit.

• Ensure that we can stand behind all APIs exposed by Roku’s software development kit, and manage the evolution of these APIs.

• Ensure that the native development kit performs well on low-cost hardware. To this end you will design for and track RAM consumption, rendering frame rate, etc.

• Develop tooling which will allow Roku and 3rd party developers to build great optimized and performant applications to run on the Roku platform.

• Navigate through ambiguous problem spaces and meticulously distill out design choices, trade-offs, and priorities.

We’re Excited If You Have

• Bachelor’s in Computer Science or Computer Engineering, or equivalent experience

• 7+ years of experience in embedded C/C++ development and toolchain.

• Extensive experience with software development on embedded Linux

• Experience with multi-process architectures and IPC mechanisms.

• Experience with UI/app frameworks from iOS or Android is a plus.

• Excellent software design and architecture skills.

• Ability to see the big picture while focused on short-term objectives and deliverables.

• Ability to multi-task and drive parallel projects and distributed teams with tight deadlines.

#LI-MS3

About Roku

Roku pioneered streaming to the TV — and today we help shape how millions of people around the world discover and enjoy entertainment.

Our platform powers one of the largest TV streaming ecosystems globally, with nearly 90 million active accounts worldwide and over 100 billion hours streamed annually.
Our teams build the software experiences that sit at the heart of modern television — powering Roku streaming players, Roku TV™ devices, and partner platforms across the globe.

Since entering the UK market in 2012, Roku has seen tremendous growth, giving viewers access to thousands of streaming channels — from BBC iPlayer, ITVX, and All4 to Netflix, Prime Video, NOW, and many more. Through the Roku Powered licensing program, we also collaborate with major partners such as Sky to deliver streaming experiences at scale.

As streaming continues to replace traditional TV, Roku’s platform has become the “home screen” for millions of households — combining operating system innovation, embedded engineering, and large-scale media technology.

About the Role

We are seeking an experienced Software Engineer to join our New Product Introduction team and help build the next generation of Roku TV devices.

This is a hands-on embedded engineering role where you’ll work close to the hardware, operating system, and media stack — helping deliver features that ship directly to customers’ living rooms.

You’ll thrive here if you enjoy working closely with the team, solving complex system problems, and collaborating with multidisciplinary teams to bring new devices to life.

What You’ll Do

• Work independently and in small teams to deliver new product features and functionality on schedule
• Feature development in C/C++
• Maintain and design scalable embedded software solutions across our device portfolio
• Collaborate closely with QA and cross-functional engineering teams
• Integrate and optimise third-party APIs and media technologies
• Contribute across the full product lifecycle — from early hardware integration to customer-impacting issue resolution
• Work on System-on-Chip (SoC) integration, board bring-up, and device performance tuning
• Experiment with AI tools for automation and operational efficiency. Constantly look for creative and innovative ways to solve real life problems.

We’re Excited If You Have

• Hands-on professional software development experience
• Strong C/C++ systems programming background
• Solid understanding of embedded Linux, open-source tooling, and device-level development
• Experience working in user space and/or kernel space
• Familiarity with media playback engines, streaming protocols, or video/audio pipelines
• Hands-on experience with embedded systems or shipping software on hardware platforms
• Ability to estimate technical work and deliver reliably in a fast-moving environment
• Degree in Computer Science, Electronics, or equivalent engineering experience
• Experience with SoC integration, device drivers, or video streaming technologies is highly valued.
• AI growth mindset – has experimented with AI tools.

#LI-PA1

About The Team 

The Roku trust engineering team is a close knit group of professionals with a passion for information security.  Our mission is to protect our customers, partners, devices, services, infrastructure, and data. We work collaboratively, sharing insights and expertise to stay ahead of the curve. Join us, and you’ll be part of a dynamic team that thrives on challenges and celebrates victories together. 

About The Role  

As a Senior Security Engineer on the Trust Cloud team, your role involves evaluating, architecting, designing, and implementing end-to-end security controls to impact the global user base. A key focus is on developing automated, scalable security solutions to enhance efficiency and protect Roku. This position requires a broad breadth of security expertise across all disciplines of security, including networking, DevSecOps, security tooling implementation, policy and procedure, risk evaluation, etc. 

What You Will Be Doing 

• Conducting enterprise, network, and application level security reviews.
• Conducting threat modelling for infrastructure, platform, and application initiatives.
• Planning and overseeing execution of security initiatives and projects
• Partnering with infrastructure, platform, and application teams to embed security into application architectures and deployment workflows as part of a robust Secure Software Development Lifecycle (SSDLC).
• Improving IAM policies, network configurations, DNS security, and cloud resource management practices.
• Designing and implementing integrations with third-party security platforms to automate vulnerability management, secure secret handling, and cloud posture monitoring, ensuring findings are actionable and seamlessly integrated into engineering workflows.
• Responding to security incidents to triage, contain, remediate, and report.
• Leveraging AI to accelerate your learning and enhance your work products.
• Driving security initiatives end-to-end — from identifying risks to delivering solutions — with high autonomy in a fast-moving environment.
• Automating vulnerability detection, misconfiguration checks, and compliance validation across cloud and containerised environments.
• Creating reusable security automation modules, templates, and patterns for engineering teams to adopt. 

We're Excited If You Have

• Experience doing security consulting and have balanced experience doing hands on implementation
• Experience supporting/leading DevSecOps initiatives and assisting teams in utilising and onboarding onto DSO platforms
• Designing, building, operating, and maintaining DSO platforms through IaC
• Offensive cyber operations such as application, system, and network level penetration testing
• Software Engineering experience with at least one general purpose programming language (ex. Python, Golang, C, Rust, etc.)
• Developed and/or implemented data tagging, data catalogs, or other data protection related activities
• Experience designing and administering enterprise identity and access management solutions at scale (ex: AD, EntraID, Okta, etc)
• Experience securely running and operating web applications, web services, and service-oriented architecture in production environments.
• A proven track record of deploying and operating Kubernetes clusters in production.  
• Experience deploying and operating infrastructure in multiple cloud providers (AWS, GCP, Azure)
• Fleet administration of Linux workstations and servers
• Defensive cyber operations such as operating a SEIM, managing a SOC, or leading cyber investigations 

#LI-AM3

About the team

About the role

What you’ll be doing

• Develop core features of the Roku Channel app and Roku OS.
• Work closely with Product Development, UI/UX design, Platform Services, and Release Management teams to contribute to our application development. Investigate, diagnose and resolve issues.

We’re excited if you have

• Experience developing UI applications using popular frameworks 
• Must have strong embedded C++ experience
• Strong experience in Typescript
• Experience writing functional integration and unit tests.
• A good understanding of Core OS concepts like memory management and multi-threading
• A good understanding of API design, considerations and trade-offs
• Strong verbal and written communication skills (this role involves frequent communication with teams throughout Roku)
• Consumer electronics experience building Media/Content and/or Ad product would be beneficial.
• Bachelors or Masters in Computer Science or related fields-MS3
• Experience working in streaming is a plus

#LI-NM1

About the team

At Roku, the Device Monetization and Themed Experiences (DMTE) team, a part of the Advertising organization, is where the magic behind the scenes happens. We’re the engineers who build the high-performance graphics and UI foundations that power the FRAME engine — the core technology enabling Roku’s smooth, responsive, and visually rich experiences on millions of devices worldwide. Our work lives in the middleware and UI layers, and its impact is felt every time a user navigates a menu, enjoys an animated ad, or is wowed by the bespoke experience built to market the latest TV show or Movies. We thrive on solving the toughest technical challenges — from optimizing UI rendering to fine-tuning memory usage — using BrightScript (or JavaScript-like) to deliver rock-solid, high-performance solutions. We work in a collaborative, high-trust environment where great ideas can come from anywhere, partnering closely with firmware, UI, and product teams to ensure our platform is lightning fast, reliable, and ready for the next generation of streaming innovation. If you love building the invisible foundations that make great user experiences possible, this is the team for you.

About the role

As a Senior Software Engineer in the DMTE team, you’ll be at the heart of Roku’s platform innovation — designing, implementing, and optimizing BrightScript (or JavaScript-like) systems for graphics rendering and the FRAME engine. You’ll take on complex, performance-critical challenges that demand both creativity and precision, ensuring our devices deliver buttery-smooth visuals and instant responsiveness at scale. You’ll have the opportunity to shape core architecture, work across the stack with hardware, firmware, and application teams, and see your work directly impact tens of millions of users. This is a role for engineers who love deep technical problem-solving, care about performance down to the last millisecond, and want to work on technology that quietly powers an entire ecosystem. If you’re ready to push boundaries, mentor others, and help define the future of streaming, we’d love to hear from you.

What you'll be doing

• Build scalable UI features optimized for millions of users
• Lead technical investigations and architect solutions for complex middleware and UI challenges
• Integrate AI/ML capabilities and leverage generative AI tools to accelerate development
• Collaborate with cross-functional teams on global platform features
• Develop engineering tools and mentor junior developers
• Stay current with AI trends and emerging technologies

We're excited if you have

• 5+ years software engineering experience with UI development expertise
• Advanced BrightScript (or JavaScript-like) skills plus proficiency in Python
• Strong root cause analysis and technical communication abilities
• Knowledge of AI applications and experience with generative AI tools
• Proactive mindset with passion for continuous learning and fast iteration

#LI-NM1

About the Team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on our investment in digital services. Our team is a multi-disciplinary team responsible for the architecture and implementation of services that make up Roku's browse and discovery platform. This platform is the backbone behind The Roku Channel, offering a wide range of free and premium content and entertainment to millions of users in the US and around the world.

About the Role

We are seeking a Senior Software Engineer with experience in building services at scale.  With so many people relying on us for great movies, TV, and news - scaling, reliability, fallbacks, and automation of these scenarios are always at the top of our mind as we continuously add features to the platform. We work very closely with the product team and pride ourselves on quickly iterating on features from prototypes to A/B tests to eventual release to all users. It's still early days for this platform, with plenty of challenging and interesting problems to work on.

The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can drive programs with the product and commercial teams within Roku and across external strategic partner organizations. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs.

What you'll be doing

• Build extremely large-scale platform products and services, used both by Roku engineers from across the company, and directly by consumers across millions of devices
• Work with Product/Design teams to iterate and build software, taking a concept from ideation to its production deployment and support
• Lead efforts to evaluate new technologies and continue to push for best practices across the entire development life cycle, including code and design reviews
• Managing project priorities, deadlines, and deliverables
• Participate in Agile development process, including scoping, technical design, coding, testing, deployment, and maintenance

We're excited if you have

• Strong software development experience - Java preferably - (Python nice to have)
• Expertise in building large-scale cloud services, ideally in AWS
• Experience in the appropriate selection of data stores and analysis of trade-offs
• Experience with in-memory caching layers such as Redis, Redis Cluster, Memcached, or others
• Track record of monitoring the quality of deploys and troubleshooting of production systems
• Strong knowledge of the end-to-end architecture of the web, from end-user device to a service in a data center
• Master's degree in CS, CE or equivalent experience

#LI-MS3

About the Role

You will be a SME and technical leader in engineering Infrastructure, productivity and enterprise tooling, partnering with globally distributed Engineering, Product and Security teams and systems.

What You’ll Be Doing

Roku is seeking a world class engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working practices and automation (including AI/LLM-enabled capabilities) that scale across geographies and time zones.

Key Responsibilities

AI-First Automation & Intelligent Tooling

• Define and lead an AI-first automation roadmap for Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence).
• Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g. risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures).
• Establish policies and guardrails for AI usage in internal tools: data handling, prompt/response logging, model/provider selection, evaluation, fallback behaviors, and abuse prevention.

Dev Productivity & Enterprise Tooling (Global Scale)

• Set technical direction and standards for the globally used developer tools, including build systems. Source code management, branching/release strategy, and self-service support tools.
• Architect and evolve, CI/CD and build/test pipelines using Jenkins, Docker, and build systems (Bazel /BitBake/Yocto  preferred) to support multi-site engineering environments.
• Own and scale test and quality workflows leveraging test management systems (e.g., TestRail or equivalent), enabling consistent traceability, reporting, and release sign-off across distributed teams.
• Drive Jira workflow design and automation (templates, guardrails, integrations) to provide consistent cross-org visibility and execution.

Workflow Automation (Cross-Functional, Cross-Geo)

• Design and implement automation spanning Engineering, Product, Marketing, and Partners (e.g., launch readiness, certification/release checklists, partner onboarding, incident/change workflows).
• Replace manual coordination with durable automation and integrations that work reliably across regions/time zones.

Security, Cost, Performance, and Reliability (Distributed Systems)

• Embed secure-by-default controls into pipelines and tooling (access control, secrets handling, audit trails, policy enforcement), including for AI-enabled systems.
• Improve build/test performance and reliability (build times, test duration, flake reduction, pipeline stability) using measurable KPIs and operational rigor.
• Drive cost efficiencies across tooling/infrastructure (compute utilization, caching strategies, license rationalization including AI/runtime costs and ROI tracking.
• This is a highly visible role and you will report directly to a Vice President of Engineering. This requires a very strong technical leader with experience in the development of consumer electronics devices. The right person for this role will have ability to collaborate well with engineering and partner teams.
• Own cross-team architectures and standards; drive adoption through influence, clear technical judgment, and sustained multi-quarter execution.
• Lead design reviews, mentor senior engineers, and unblock the hardest technical problems across distributed teams and systems.
• Provide long-term stewardship via roadmaps, operational maturity (runbooks/SLOs), and incident/postmortem practices suitable for 24/7 global operations.
• Establish yourself as the person others bring their hardest problems to

We’re Excited If You Have

• Bachelor’s in Computer Science or Computer Engineering, or equivalent experience
• Prior experience at Staff, Principal, or Architect level
• Ownership in platform/infrastructure, developer productivity, CI/CD, build systems, or workflow automation, including work spanning globally distributed teams and systems.
• Strong, hands-on knowledge of:

• • Git (workflows, branching strategies, release management)
  • Jenkins (CI/CD pipeline design, scaling, reliability)
  • Docker containers (reproducible build/test execution)

Build systems ( itBake/Yocto preferred)

• Jira (workflow design/automation, cross-team visibility)
• Test management systems (e.g., TestRail or equivalent)
• Demonstrated experience delivering automation at scale, including building platforms/components used by multiple teams.
• Strong systems thinking across security, reliability, performance, and cost tradeoffs.
• Excellent written communication (architecture docs, decision records, operating procedures).
• Experience building AI-assisted developer tooling (e.g., CI insights, test intelligence, code review automation, release risk scoring, incident copilots).
• Experience implementing evaluation/monitoring for AI systems (quality metrics, drift, offline test sets, human feedback loops).
• Extensive experience with software development on embedded Linux,  multi-process architectures and IPC mechanisms
• Experience working in large cross functional teams and ability to influence teams that don't report to you
• Ability to see the big picture while focused on short-term objectives and deliverables
• Ability to multi-task and drive parallel projects and distributed teams with tight deadlines

#LI-NM1

About the team

Our team’s mission is to build cutting-edge technology that facilitates experimentation and enables data-driven decisions, such as those for Roku. Our team provides an end-to-end solution, from intuitive management interfaces and a robust, highly scalable backend to a sophisticated data insights framework.

We are a globally distributed team with presence in the US and Europe. We value technical expertise, creativity, a strong sense of ownership and collaboration.

About the role 

At Roku, we’re building and evolving a large-scale experimentation platform that powers data-driven decision-making across the organsation. Our system supports 5,000+ experiments per year, serves 100+ million devices, and processes over 100,000 operations per second—all while maintaining high reliability and low latency.

In this role, you’ll help shape the next generation of our distributed backend. You’ll design and implement new platform capabilities such as bias avoidance mechanisms, advanced segment management, and experiment orchestration features that ensure trustworthy results at scale. At the same time, you’ll work on strengthening the system’s resilience, performance, and scalability, tackling challenges that come with high throughput and global reach.
You’ll collaborate closely with engineers, data scientists, and product partners to translate experimentation needs into robust, production-ready systems. This is a hands-on role with real impact: the work you do will directly influence how teams across the company run experiments, learn faster, and make better decisions.

What you’ll be doing

• Build and evolve high-throughput, low-latency distributed backend services in Java that power Roku’s experimentation platform at massive scale.

• Design and implement core experimentation capabilities (e.g. bias avoidance, advanced segmentation, experiment orchestration) to ensure statistically sound results across millions of users.

• Strengthen system resilience, scalability, and performance, operating reliably at 100k+ ops/sec and across 100M+ devices globally.

• Partner closely with data scientists, product, and platform engineers to translate experimentation needs into production-ready backend systems with real business impact.

We’re excited if you have 

• Degree in Computer Science or equivalent
• Expertise in Java and Spring Boot for developing robust backend applications.
• Strong knowledge of object-oriented design principles and distributed software architectures.
• Proven experience in building and maintaining solutions using both NoSQL and relational databases.
• Solid understanding and practice of test-driven development (TDD) and test automation frameworks.
• Familiarity with statistical concepts and their application within software systems.
• Demonstrated ability to design, develop, and test high-performance distributed systems.
• Experience with AWS cloud services (e.g., EC2, S3, Lambda).
• Familiarity with Istio and Kubernetes for managing microservices and container orchestration.
• Understanding of A/B testing methodologies and experience with experimentation platforms is a plus

This is a hands-on, high-impact role for someone who thrives in an environment where innovation meets engineering excellence. You’ll collaborate with a world-class team of software and hardware engineers, contributing across the entire lifecycle of building, optimising, and delivering next-generation intelligent systems.

#LI-MS3

Are you passionate about building scalable, high-performance systems that process massive amounts of data? Do you thrive on designing and implementing innovative solutions to empower engineering teams with actionable insights? Are you excited to advance open-source observability at a massive scale? Join us to extend (open source) observability tools and build new capabilities that help teams manage data better and get actionable insights. 

About the Team 

The Observability team is part of Roku’s Cloud Technology Infrastructure organisation and plays a critical role in our platform. We are a high-performing, fast-moving international team that thrives on ownership, effective communication, and delivering impactful engineering solutions. 

Our mission is to advance Roku’s observability platform, which operates at an impressive scale by ingesting terabytes of data daily and managing hundreds of millions of active series. As part of this mission, we focus on building scalable, performant systems to meet Roku’s unique needs. By leveraging open-source tools, CNCF-supported projects, and custom solutions, we enable engineering teams across Roku to monitor, debug, and optimise their applications with ease. 

What sets us apart is our results-driven culture rooted in ownership, accountability, and fast iteration. We prioritise solving meaningful engineering problems, fostering collaboration, and continuously improving how we work as a team. 

About the Role 

You will work on core observability systems (metrics, logs, traces) while also developing robust data pipelines and storage solutions optimized for high throughput, performance, and cost. You’ll leverage technologies such as time-series databases (TSDB), columnar storage formats (e.g., Parquet), and distributed data processing frameworks to advance the platform’s capabilities. Collaboration with cross-functional teams will be critical, as you’ll integrate observability into Roku’s cloud-native stack and contribute improvements back to the open-source community. 

• Extend and integrate open-source observability systems, and when needed, structurally overhaul core components, such as storage layers and query paths, to improve performance, reliability, and usability of these tools at scale. 

• Build services to improve performance, usability, reliability, and cost efficiency. 

• Implement features like pre-aggregation, downsampling, and sampling to reduce load and accelerate queries. 

• Create developer-facing capabilities for metrics, logs, and traces usage, data quality, and cost management. 

• Automate onboarding, dashboards, alerting, and tracing. 

• Collaborate across platform and infrastructure teams to integrate observability into Roku’s cloud-native stack. 

What We’re Looking For 

• Extensive experience in software engineering building distributed, high-throughput systems or observability platforms. 

• Hands on Go experience; our observability ecosystem is Go-based, making it the most effective language for this role. 

• Experience with, or strong interest in, observability tools (Prometheus, Grafana, Loki, Tempo, ELK/OpenSearch, Clickhouse) and standards (OpenTelemetry, OpenTracing, OpenMetrics). 

• Deep understanding of distributed systems and data models 

• Hands-on experience with Kubernetes, and cloud platforms (AWS, GCP, Azure). 

#LI-PA1

Staff Site Reliability Engineer

As a Staff SRE at Obsidian, you will define and drive the company-wide reliability vision for a complex, multi-tenant SaaS platform serving enterprise and financial customers. You will operate as a strategic partner to DevOps and Platform Engineering leadership, shaping a unified reliability strategy that scales across the organization.

Your core mandate: ensure Obsidian detects, diagnoses, and communicates system issues before customers are impacted—consistently and predictably.

This is a hands-on technical role that involves architecting and leading the implementation of systems that handle real-world complexity, including upstream SaaS dependencies, sparse and noisy signals, and mission-critical enterprise workloads.

Key Responsibilities

• Reliability Strategy & Architecture - Define and lead long-term reliability strategy across services. Establish end-to-end system visibility frameworks and guide architecture for observability, detection, and resilience.
• Cross-Org Leadership - Partner across teams to embed reliability, standardize SLI/SLOs, and serve as a technical escalation expert.
• Detection & Observability - Build intelligent detection systems (anomaly detection, connector health models) and enable self-service observability.
• Incident Management - Define and evolve a tiered incident communication strategy, improve response practices, and lead postmortems to strengthen reliability and customer trust.
• Execution - Contribute hands-on to system design, monitoring, and debugging across distributed systems and data pipelines.

Required Qualifications

• 5+ years in SRE, Production Engineering, or related roles
• 3+ years operating at a senior or technical leadership level (Staff or equivalent scope)
• Deep expertise in:
• AWS and/or GCP
• Kubernetes and Helm
• Observability stacks (Prometheus, Grafana, or equivalent)
• CI/CD systems (GitLab CI/CD, ArgoCD, etc.)
• Proven experience designing and scaling reliability systems for multi-tenant SaaS platforms
• Strong debugging and systems thinking across distributed microservices and legacy systems
• Demonstrated ability to lead initiatives that improve incident detection, response, and system resilience
• Hands-on engineering approach with a track record of building—not just configuring—reliability systems

Preferred Qualifications

• Experience in B2B SaaS serving enterprise or financial customers
• Familiarity with third-party SaaS connector architectures and ingestion patterns
• Experience building anomaly detection or intelligent alerting systems
• Experience designing customer-facing status pages and incident communication frameworks

Why This Role

• Drive org-wide reliability strategy
• Own and build new detection & observability systems
• Tackle complex distributed systems challenges
• Safeguard critical infrastructure for financial customers

What Success Looks Like

• Issues caught and resolved before customer impact
• Reliability is measurable and continuously improving
• Teams self-serve observability with scalable tools
• Clear, proactive incident communication builds trust
• Reliability becomes a competitive advantage

Overview

As a Senior Solutions Architect (Collaboration), you will serve as the focused technical lead and sales engineer for ePlus targeted product and service solutions, supporting the ePlus regional sales team to drive revenue creation and capture within the customer account portfolio. You will have the opportunity to work with our master architects, engineers, and consultants, to understand our clients’ needs and craft sustainable IT roadmaps to get them there.  

Your Impact

The Senior Solutions Architect (Collaboration) provides senior-level Sales Engineering support through the creation of technical solutions that may consist of hardware and software products, professional consulting and engineering services, managed services and staffing. 

The essential functions of this position include:

• Meeting with customers to assess business needs and solution requirements
• Explanation of solution architectures via whiteboarding, presentations and client interaction
• Creation of complex product solution configurations and associated Bills of Materials (BOMs)
• Detailed scoping of professional services engagements and creation of Statements of Work (SOWs)
• Involvement with professional services projects and managed service onboarding processes
• Assisting with customer satisfaction issues, technical problems and case escalation as needed
• Maintaining relationships with manufacturer engineers to stay current on product capabilities and to collaborate on customer solutions as necessary
• Attend training and technical conferences to support ePlus partner relationships and to stay current on technology industry trends
• Maintaining key manufacturer certifications related to personal technical specializations as well as company partner requirements
• Serve as thought leader in areas of technical specialization, supporting and mentoring other engineers and account executives as needed

Qualifications

Job Knowledge/Skills:

• Professional demeanor with persistent customer service focus
• Excellent communication and presentation skills, both written and verbal
• Skill with consultative sales methods -- able to engage in active listening and meaningful lines of questioning to get client to identify areas of opportunity
• Ability to manage multiple priorities with numerous daily demands for your time 

Core technology knowledge: 

• IP networking, especially QoS
• Security fundamentals
• Modern application architectures
• Major operating system families – Windows, Linux or Unix
• Host virtualization – VMware vSphere, Microsoft Hyper-V or RedHat KVM
• Public cloud fundamentals – Amazon Web Services, Microsoft Azure or Google Cloud Platform 

Collaboration-specific knowledge – should be subject matter expert level in at least 3 of the following:

VOIP Calling, Collaboration/Meetings and Telepresence 

• VOIP Calling, Collaboration/Meetings and Telepresence
• Microsoft Teams Calling including Teams PBX, Calling Plan, Direct Routing via third-party UCaaS and CUCM integrations, Hosted Direct Routing and Operator Connect
• Cisco Webex Calling Multi-Tenant and Dedicated Instance
• Cisco Calling and Contact Center licensing EA’s and Subscriptions
• CUBE and or Session Border Controller (SBC)
• Cisco Premise-based Unified Collaboration Solutions
• Contact Center Solutions(Cloud and On-Prem)
• e911 solutions
• Audio Visual/Video Conferencing
• Zoom Phone, Zoom Meetings, Zoom Rooms including Zoom licensing

Education and Experience:

• Bachelor’s degree in related technology and 5+ years of experience providing pre-sales engineering support designing complex Collaboration solutions
• Multiple industry-recognized certifications, e.g., CCIE, VCP, CISSP, etc.

Position Specifics

The initial base salary range for this position is expected to be between $120,000 and $170,000 annually. The final base salary offered will be determined by multiple factors, including, but not limited to, job-related knowledge, depth of experience, skills, certifications, and geographic location. In addition to the base salary, our compensation structure may include other components such as commissions and discretionary bonuses.

ePlus offers a full range of medical, financial, and/or other benefits (including 401(k) eligibility, employee stock purchase program and various paid time off benefits, such as vacation, sick time, and personal leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an offer of employment is extended. 

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

We're looking for a Platform Engineer to join our Application Platform team. You'll help build and operate the deployment platform, tooling, and developer experience that every engineering team at dunnhumby relies on to ship software to production.

This role can be based from either our London or Manchester office.

You'll join at a moment when we're moving our retail analytics platform from monthly bundled releases to continuous per-service deployment on Kubernetes. You'll be hands-on with that migration in your first few months and then stay on long-term as a core member of the team that owns and evolves the platform. It's a clear path into senior platform engineering for someone who has shipped production Kubernetes work and wants to grow their craft on a platform used by hundreds of engineers.

Responsibilities

• Build and maintain the platform primitives that enable service teams to deploy independently, including ArgoCD application manifests, GitOps repository lifecycles, reusable Helm chart templates, and External Secrets Operator configuration.
• Pair with engineers across product and data teams as they onboard onto the new platform, addressing repeated questions at the template layer to prevent recurring issues.
• Contribute to platform design discussions and help shape the paved road that engineers across dunnhumby build on.
• Author and maintain reusable GitLab CI pipeline templates covering build, test, publish, deploy, and post‑deploy stages.
• Work with service teams to migrate pipelines onto the platform standard and retire bespoke per‑service deployment scripts.
• Continuously improve build times, pipeline reliability, and developer feedback loops.
• Respond to platform alerts during working hours, triaging ArgoCD sync failures, secret synchronisation errors, and flaky pipelines.
• Join the Application Platform on‑call rotation once ramped up (typically after the first few months).
• Instrument platform tooling with structured logging and dashboards to improve visibility without manual investigation.
• Write unit and integration tests to meet SonarQube coverage requirements and create smoke tests for deployment workflows — no green CI, no merge.
• Keep migration playbooks, ArgoCD setup guides, and per‑service pipeline documentation accurate and up to date.
• Share learnings with the squad through regular knowledge‑sharing sessions.

What we expect from you:

• Strong professional software or platform engineering experience, shipping code or infrastructure to production within a team environment
• Hands‑on Kubernetes experience on GKE, AKS, or EKS, with confidence using Deployments, Services, Ingress, ConfigMaps, Secrets, and RBAC
• Helm experience, including writing or substantially modifying charts, with a solid understanding of values files, templates, hooks, and chart dependencies
• Experience with GitLab CI or a comparable CI tool (e.g. GitHub Actions, Azure DevOps, Jenkins, CircleCI), having built or meaningfully modified pipelines rather than just used them
• Production experience with Python or Go, with the ability to discuss real code from professional work
• Confidence working with Linux, Bash, Docker, and standard Unix tooling
• Strong Git practices within a team environment, including branching strategies, PR/MR workflows, review feedback, and merge conflict resolution
• A proven track record of shipping to production in a professional team setting (not solely prototype or personal projects)
• Exposure to ArgoCD, Flux, or another GitOps tool is a strong plus
• Experience with External Secrets Operator, Vault, or similar secret‑sync patterns is beneficial
• Familiarity with Terraform, multi‑cloud environments (GCP and Azure), observability tooling (e.g. New Relic, Datadog, Prometheus, Grafana), or contract testing with Pact would be valuable

About Autotrader

You’ve probably heard of Autotrader, but do you know what we’re all about?  

We’re the UK’s leading automotive marketplace, a heritage brand, and a tech darling of the stock market. We bring together vehicle buyers and sellers to give them real choices. Cars may be what we're best known for but we’re also the place for pretty much everything else on wheels, from e-bikes to caravans. 

In the automotive world, change is a constant, that’s why we take our job of untangling the complex car-buying journey very seriously. 
 
At our core, we’re all about people. We go our own way while embracing diversity and celebrating our differences. We dedicate ourselves to the idea that we work better together. 

Autotrader is a beautiful, surprising and vibrant place to work. We might not be for everyone, but we could be perfect for you. 

About the role

What we’re looking for

• Testing experience in both manual and automation techniques
• Well versed with cross browser and cross platform testing techniques
• A good working knowledge of software development
• Proficiency in UI automation tools such as Cypress, Playwright and Jest
• Understanding of Continuous Delivery/Deployment processes and how test automation fits into this
• Experience collaborating with Developers to shape the test pyramid
• A genuine enthusiasm for working within cross-functional teams
• Agile experience and a clear understanding of how test engineering fits into the methodology
• Curiosity and critical thinking about the way we work, the features we’re building and the technologies we’re using
• Drive to influence and enhance testing and software engineering best practices
• Exposure to non-functional testing such as performance and accessibility
• Understanding of Git or similar version control systems

During our application process, you will be asked two questions to help us learn more about you and how you align with our values. These will be used as part of our selection criteria, to determine if we progress your application further.

Benefits and more

We’re offering a salary of £40,000 – £60,000, plus an additional 10% of your salary awarded to you in shares each year. These awarded shares will become yours in yearly instalments over the next three years, and you can choose to either sell them or keep them as shares. And you'll receive 28 days holiday, plus bank holidays and comprehensive private medical cover. 

That’s not all. We have employee pension contributions up to 7%, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and much more. 

We always want to give you the support you need and help prioritise your wellbeing, that’s why we provide access to 24/7 online GP and dentist, as well as specialist support for assisted fertility, gender dysphoria, menopause, period care plans and lots more.  

On top of all that, our hybrid model, Connected Working, combines the best of both worlds – office and home working. You’ll have two fixed weekly office days for team collaboration and one more of your choice to suit your work-life balance.  

Additionally, we have our remote-first periods at set times during summer and winter. During these periods, you can work remotely anywhere in the UK and from certain locations abroad.

#LI-CI1

#LI-Hybrid

#LI-DNI

About the Role

At Obsidian, we relentlessly pursue clarity in a landscape defined by complexity. We’re looking for Security Research Engineers who thrive at the intersection of security research and product engineering. You’ll dig deep into SaaS platforms, craft high-impact product features, and help shape the defensive strategies that protect our customers at scale.

This role is for someone who loves gaining a deep understanding of complex systems, who enjoys thinking like an attacker, and who wants to create category-leading security solutions for Obsidian's customers.

What You’ll Do

• Gain an in-depth understanding of major SaaS or AI platforms to identify critical security insights. 
• Explore and prototype solutions to integrate data across SaaS and AI platforms to identify toxic combinations of risks that can lead to high blast-radius compromises.
• Identify and respond to new attacker techniques against SaaS and AI platforms to build novel approaches to detect or mitigate future attacks.
• Leverage AI to turbo-charge research into SaaS and AI platform security.

What We’re Looking For

Minimum Qualifications

• 5-7 years of experience in the cybersecurity industry with either a research or data focus.
• Experience with data pipelines (dbt, dagster, clickhouse).
• Proficiency in Python/Go and SQL.
• Experience with log processing and anomaly detection.
• Fluency in using AI agents to assist in building prototype solutions.
• Ability to analyze logs and signals from IdPs, cloud, or SaaS apps.

Preferred Qualifications

• Experience with core SaaS platforms such as Google Workspace, Microsoft Office 365, Salesforce, or Workday in a security context.
• Strong understanding of identity systems (Okta, Azure AD/Entra, Google Workspace, etc.) and authentication flows.

Why Join Us

• Protect some of the world's largest organizations 
• Become an expert in SaaS security by learning from the industry’s leader.
• Have a direct impact immediately, and experience Silicon Valley pace from the UK.

About the Role - as a Senior Engineer at Obsidian, you’ll:

• Build or extend data pipelines that power Obsidian’s Agentic AI and supply chain risk products.
• Maintain, improve, and evolve existing systems to ensure performance, resilience, and scalability
• Design and implement APIs and backend services, including multithreaded applications
• Collaborate with product and engineering teams to support key product themes and ensure delivery of high-impact features
• Apply strong software engineering practices to requirements gathering, system design, and code reviews
• Contribute to a fast-moving, collaborative environment where adaptability and teamwork are essential.
• Identify and proliferate best practices in data pipeline design between both the UK and US teams.

What’s in It for You

• You will have direct impact on the core product used by enterprises worldwide
• Work alongside a talented, friendly team in a supportive and collaborative culture
• Grow your skills with opportunities to learn new technologies and engineering practices
• Be part of an innovative, fast-paced environment where your contributions are valued
• Enjoy a hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester

Required Skills & Experience

• 5-7 years of experience in a software engineering role
• Proficiency in one or more modern programming languages such as Python, Go, or SQL
• Experience building backend services, APIs, and multithreaded applications
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes
• Strong knowledge of relational databases (e.g., Postgres)
• Experience collaborating in team environments and adapting to changing requirements
• Understanding of software design principles and engineering best practices
• Experience with cloud platforms (AWS, GCP), object storage (S3), or event/streaming systems (Kafka, Redis)
• Familiarity with Git for version control and deployment tooling, such as GitLab CI/CD
• Experience in influencing design patterns based on best practices.
• Experience assessing alternative data architecture designs to produce accurate and unbiased recommendations.

Desirable Experience

• Experience with system monitoring and observability tools such as Grafana, Prometheus, or similar platforms
• Understanding of quality engineering (QE) practices across development and testing lifecycles
• Exposure to large-scale distributed systems and performance optimisation
• Experience in forming strong stakeholder relationships to help promote joint working between teams.
• Experience of working alongside both UK and US development teams.

AI Skills & AI-Native Engineering Expectations: As an AI-forward engineering organization, we expect senior engineers to effectively leverage AI tools and understand foundational AI concepts to enhance development efficiency and build AI-ready systems.

AI Engineering Capabilities:

• Leverage AI tools effectively to improve development efficiency and build AI-ready systems.
• Proficient with AI-powered developer tools; able to critically evaluate and refine AI-generated outputs.
• Strong understanding of core AI/ML concepts (LLMs, embeddings, vector databases, inference, evaluation).
• Experience integrating AI/ML APIs and building AI-ready data infrastructure (e.g., for RAG).
• Ensure data quality, governance, observability, reliability, security, and performance in AI-driven systems.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

We seek a AI Software Engineer to join our AI infrastructure team. This team owns and operates a core service that runs AI-powered agents and their associated infrastructure, ensuring reliability, scalability, and ease of use for internal and external stakeholders. You’ll work across backend systems, front-end integration, and AI/ML workflows, with opportunities to expand your expertise in prompt engineering, Retrieval-Augmented Generation (RAG), and large language model (LLM) interactions.

Your Impact

• Design, build, and maintain services and infrastructure that manage AI-powered agents.
• Develop backend services in Python, with comprehensively tested and self-documented APIs.
• Work with Agentic AI frameworks and implement prompt engineering best practices to build scalable foundational platform.
• Work with relational databases (MySQL) to store, query, and optimize structured data.
• Collaborate with product and research teams to refine and implement the product roadmap.
• Support front-end teams using React/JS components and wrappers for AI-driven experiences.
• Learn, apply, and optimize RAG systems, including vector databases, embeddings, and document chunking strategies.
• Build a practical understanding of how large language models (LLMs) work and deepen expertise in effective interactions with LLMs for agent orchestration.
• Monitor, debug, and optimize system performance, ensuring high reliability in production environments.

Your Qualifications 

• Strong proficiency and experience working with Python-based services
• Hands-on experience with relational databases (MySQL or similar).
• Familiarity with React and ability to support front-end AI integrations.
• Basic understanding of large language models and eagerness to expand knowledge.
• Demonstrated interest or experience in prompt engineering and working with LLMs.
• Strong problem-solving, debugging, and collaboration skills.

Nice-to-Have

• Prior experience with vector databases (Pinecone, Weaviate, FAISS, etc.).
• Knowledge of retrieval-augmented generation (RAG) pipelines.
• Experience with AI/ML infrastructure or agent frameworks.
• Familiarity with cloud environments (AWS, GCP, Azure) and containerized deployments (Docker, Kubernetes).

The Role

The Core Performance engineering team is looking for a junior to mid-level software engineer to build and maintain performance tests and performance test frameworks that underpin our performance work at Anaplan, as well as advocate for strong software engineering principles for performant software. Performance is at the heart of everything we do at Anaplan, so we need someone who loves performance as well as advocating for the performance of the platform.

Your Impact

• A Strong Engineer: You've worked on large codebases before, and know SOLID principles of software engineering
• Accountable and self-directed: You hold yourself to a high standard, work independently, and take responsibility for outcomes.
• Ownership mindset: You see problems through to resolution and treat platform performance as your responsibility.
• Scale-oriented thinking: You look beyond individual fixes, create solutions that work across teams, and enable adoption through influence rather than mandate.
• Bias toward automation: You actively seek to eliminate repetitive work through automation and build durable solutions rather than manual processes.
• Data first: You are data-first, opinion second: you care about the quality of data provided for any decision, and you hold yourself to the highest standards of data quality
• You care about quality: You're an advocate for quality in everything you do, and review code with quality in mind as well as advocate for performance of the platform
• You get stuck in quickly: Anaplan moves fast, and you move faster to keep up with what's going on and how you can get involved
• Strong Convictions, held loosely: You advocate and are passionate, but are completely open to other voices and opinions

Your Skills

• Solid software engineering experience, working on large and complex systems
• Experience designing and building performant systems through sound engineering and architectural decisions
• Experience of delivering code into production and maintaining that code, working across both cloud and on-premise environments
• Experience diagnosing and resolving performance issues in production systems

Performance Engineer;

• Solid software engineering experience working on large or complex systems
• Hands-on experience with performance testing and familiarity with relevant performance testing tools
• Good understanding of system-level performance, including application, infrastructure, and network behaviour
• A code-first, automation-focused approach to performance engineering
• Experience working in cloud and or on-premise environments

Tech we use

• Java: We write many of our performance tests in Java, that compiles into jMeter
• jMeter: We performance test in jMeter
• Jenkins: We write our pipelines for performance testing in Jenkins, with deep integration into our "Core Server" delivery
• Grafana: Observability both of our pipelines and internal performance tests, as well as in production for performance of our customer

Team Description

The Data Engineering team is responsible for developing and maintaining the company’s data ingestion and processing pipelines. This role collaborates with data scientists, software engineers, business analysts, and technical leads to build reliable data infrastructure that supports decision-making for apparel brands and retailers. The position reports to the Technical Lead within the Data Engineering function.

Your Impact

• Contribute to the development and enhancement of data ingestion and processing pipelines
• Partner with product managers, data scientists, and engineers to build and maintain accurate and robust data infrastructure managing first- and second-party data
• Collaborate with technical leads and senior engineers on data architecture decisions and implementation strategies
• Support the team in delivering scalable solutions while learning and growing your expertise
• Work as part of a collaborative team that values creativity and continuous improvement
• Help build and maintain data pipelines that support AI and decision-making tools

Your Qualifications

• Commercial & proven experience in data engineering or related technical roles
• Proficiency in SQL and Python for data processing and pipeline development
• Experience with data warehousing concepts and ETL/ELT processes
• Hands-on experience with modern data platforms such as Snowflake, Databricks, or Redshift
• Familiarity with data orchestration tools like Apache Airflow, Prefect, or DBT
• Experience working with columnar formats like Parquet and Avro
• Understanding of data modeling, database optimization, and performance tuning
• Experience integrating data from various sources including APIs, FTP, and cloud storage

Preferred Skills

• Knowledge of streaming data processing and data APIs
• Knowledge of cloud platforms, particularly AWS
• Familiarity with infrastructure as code and CI/CD practices
• Experience with time series data

At Anaplan, we are building the next generation of enterprise planning technology that enables organisations to make faster, smarter decisions.

We are looking for a Full-Stack Engineer to contribute to the design and development of end-to-end product experiences, spanning backend services, APIs, and modern web applications.

This role sits within the Platform Application Framework (PAF) team — a foundational platform that provides shared application patterns, reusable components, and developer frameworks used across Anaplan. PAF enables teams to build consistent, scalable, and high-quality applications by standardising how services are developed, integrated, and operated. It plays a critical role in improving developer productivity, ensuring reliability, and accelerating delivery across the platform.

You will work closely with engineers, product managers, and designers to build user-facing features and platform capabilities that power enterprise-scale applications.

Your Impact

• Design and develop end-to-end features across frontend and backend systems
• Build modern, responsive web applications using React and TypeScript
• Develop scalable backend services and APIs using Java or Kotlin (Spring Boot)
• Contribute to API design, data models, and frontend-backend interactions
• Ensure performance, usability, and accessibility of applications
• Write clean, maintainable, and well-tested code following engineering best practices
• Collaborate with product and design to deliver intuitive user experiences
• Participate in technical design discussions and code reviews
• Troubleshoot and resolve issues across the stack, including production support
• Contribute to improvements in CI/CD pipelines, observability, and developer workflows

Your Skills

• Experience with Java or Kotlin and backend development (Spring Boot preferred)
• Experience building modern frontend applications (React + TypeScript)
• Experience developing REST APIs and microservices
• Good understanding of software design principles and clean code practices
• Familiarity with distributed systems and cloud-native development
• Experience with testing, CI/CD pipelines, and Agile development practices
• Ability to work in a collaborative, cross-functional team environment

Nice to Have

• Experience with event-driven architectures (e.g., Kafka)
• Familiarity with design systems or reusable component libraries
• Experience integrating with enterprise or SaaS platforms
• Exposure to Kubernetes, Docker, or Infrastructure as Code (Terraform)
• Familiarity with data platforms or analytics systems

The Infrastructure Engineer builds out solutions to support Platform disaster response/crisis management activities in compliance with the Engineering and Customer requirements and helps provide and coordinate disaster preparedness with respect to the organisation’s Platform, helping ensure business continuity.

They also ensure we have enough resources to meet current and future Platform demand efficiently, involving forecasting needs,capacity planning,monitoring performance(KPIs),managing risks(shortages/overloads),and developing strategies for optimisation.

Your impact:

• Work with Engineering & Service Management to ensure that the disaster recovery and Capacity plans drive disaster recovery (DR) strategy and procedures both in Cloud and DC venues.
• Build out tooling that supports the DR plans and tracks progress and maturity against set KPI’s and Metrics.
• Work with Engineering & Service Management to ensure that disaster recovery solutions are adequate, in place, maintained, and tested as part of the regular operational life cycle.
• Provide ongoing feedback for risk management, mitigation, and prevention.
• Develop and implement capacity planning tooling, frameworks, policies, and strategies.
• Provide capacity requirements and impact assessments for new services or changes. 
• Collaborate with other Platform managers to deliver objectives on our platform evolution roadmap.

Your Skills

• Strong experience in IT operations/Production Engineering.
• Experience of Linux administration
• Experience with Kubernetes administration
• Being comfortable in a scripting language suitable for automation tasks
• Understanding of current recovery solutions and high availability architectures for cloud and on prem.
• Understanding of current Capacity Management & Planning scenarios and tooling.
• Experience with Agile principles and practices.
• Expertise in problem diagnosis across complex, distributed systems.

Desirable

• Experience supporting SaaS products.
• Experience with Incident Management, Post Mortems and related practices.
• Knowledge of observability and monitoring best practices.
• Experience operating within one or more public clouds (AWS, GCP, Azure).
• Experience with configuration management, and infrastructure as code

Role Overview
In this Principal role, you will lead the design, build and operational excellence of core platform capabilities covering backend services, modern frontend applications, and critical platform infrastructure or APIs. You will drive architectural strategy, mentor senior engineers, collaborate at cross functional and technical leadership levels, and ensure the system scales reliably across global, enterprise use cases.

Key Responsibilities

• Define and implement the architecture and delivery of backend services and microservices, supporting high throughput, globally distributed systems.
• Lead frontend development using modern frameworks (React/Angular/Vue.js + TypeScript) for responsive, performant, enterprise grade applications.
• Drive design and implementation of containerization/Docker and orchestration (Kubernetes) for production scale deployment and standardization across teams.
• Partner with cross functional leaders (product, UX, QA, architecture) to shape roadmap, align technical strategy with business priorities and ensure rapid but sustainable delivery.
• Establish engineering best practices: code reviews, technical mentorship, continuous improvement, testing frameworks, CI/CD pipelines, observability and platform health.
• Own cloud-native delivery (AWS, GCP, Azure), infrastructure-as-code, monitoring and operational resilience for mission critical capabilities.
• Lead risk identification and mitigation, optimize system performance, ensure scalability and reliability across multi‑tenant enterprise environments.
• Act as a mentor and thought leader, enabling engineers across teams, contributing to onboarding, knowledge sharing, industry innovation, and engineering culture.

Required Skills & Experience

• Extensive professional software engineering experience (or analogous senior technical leadership) with deep expertise in Java and object-oriented design.
• Proven full stack development background: frontend (JavaScript, HTML, CSS) and backend (APIs, databases, distributed systems).
• Demonstrated experience with modern JavaScript frameworks (React, Angular, or Vue.js) and proficiency with TypeScript.
• Strong understanding of RESTful API design, relational databases (SQL) and large‑scale backend operations.
• Hands on with containerization and orchestration technologies (Docker, Kubernetes) in production.
• Experience using version control (Git) and agile methodologies (Scrum, Kanban) in global, cross team environments.
• Excellent analytical, problem-solving, communication and influencing skills, with the ability to engage with senior stakeholders and technical leaders.

Desirable Skills

• Deep experience with cloud platforms (AWS, GCP, Azure) and infrastructure automation (Terraform, Ansible).
• Familiarity with data streaming/event driven architectures (Kafka, Flink, Pulsar) and high throughput systems.
• Mature experience with CI/CD tooling (Jenkins, GitHub Actions) and micro frontend patterns.
• Strong testing & observability mindset (JUnit, Jest, Cypress) and performance optimisation.
• Prior experience in global engineering teams, mentoring senior and principal engineers, and setting engineering direction.

Soft Skills

• Demonstrated technical leadership and mentorship—capable of guiding others to drive technical excellence and elevate team delivery.
• Strategic thinker with business-oriented mindset: engineering decisions aligned with product and company goals.
• Agile, adaptable, curious—thrives in fastmoving environments, embraces change, and champions continuous improvement.

Anaplan is looking for a Principal Infrastructure Engineer to lead the design and build of a new, multi-region HashiCorp Vault platform. This is a pivotal role where you will serve as our Subject Matter Expert (SME), shaping the future of secrets management and governance for a platform that supports hundreds of engineers and top-flight companies around the world.

This is a hybrid role requiring at least two days a week in our Manchester office.

Your Impact

• Lead the architecture, design, and implementation of a new, multi-region HashiCorp Vault platform on public cloud.
• Take ownership of the solution architecture, creating and maintaining high-quality design documents and Architecture Decision Records (ADRs).
• Ensure platform resilience by developing and testing robust strategies for performance, Disaster Recovery (DR), and High Availability (HA).
• Act as the primary SME for the organisation on all aspects of Vault and modern secrets management, actively championing and evangelising best practices.
• Collaborate with and influence stakeholders, platform teams, and software engineers to ensure the smooth and secure integration of their services with the Vault ecosystem.
• Partner with Security to define the control requirements for the Vault platform (policy standards, privileged access, audit/evidence, compliance needs) and ensure designs meet those requirements.
• Lead regular security design reviews for Vault architecture decisions (authn/authz, policy model, namespaces/tenancy, seal strategy with KMS/HSM, audit logging) and drive alignment/sign-off with Security.
• Establish joint operating processes with Security for incident response and investigations, including break-glass access, audit log access patterns, and post-incident remediation.
• Coach and mentor other engineers on security best practices and the adoption of the new secrets management platform.

Your Skills

• You have hands-on expertise in designing, implementing, and operating HashiCorp Vault in large-scale production environments.
• Proven experience with multi-region deployments on public cloud platforms, preferably AWS. Experience with GCP and Azure is also highly valuable.
• Proficient with Infrastructure as Code (IaC) and Terraform.
• Knowledge of modern authentication and authorisation mechanisms (e.g., OIDC, SAML, JWT).
• Experience managing Public Key Infrastructure (PKI) and certificate lifecycles.
• Experience with observability tooling such as Grafana, Prometheus, and Loki.
• Proficient with Kubernetes and managed Kubernetes platforms such as EKS, GKS, and AKS.
• Experience with Kubernetes tooling such as Helm and Argo CD.
• You have a quality-first mindset with demonstrable experience in creating and automating testing strategies for critical infrastructure.
• You are happy to write and maintain clear documentation for other teams.
• You have excellent communication skills, with a proven ability to influence technical direction and mentor both junior and senior engineers.

Bonus Points For:

• Scripting or development experience in Go, Python, or similar.
• Experience writing or maintaining Kubernetes Operators.

Anaplan is looking for a Principal Infrastructure Engineer to lead the design and build of a new, multi-region HashiCorp Vault platform. This is a pivotal role where you will serve as our Subject Matter Expert (SME), shaping the future of secrets management and governance for a platform that supports hundreds of engineers and top-flight companies around the world.

This is a hybrid role requiring at least two days a week in our London office.

Your Impact

• Lead the architecture, design, and implementation of a new, multi-region HashiCorp Vault platform on public cloud.
• Take ownership of the solution architecture, creating and maintaining high-quality design documents and Architecture Decision Records (ADRs).
• Ensure platform resilience by developing and testing robust strategies for performance, Disaster Recovery (DR), and High Availability (HA).
• Act as the primary SME for the organisation on all aspects of Vault and modern secrets management, actively championing and evangelising best practices.
• Collaborate with and influence stakeholders, platform teams, and software engineers to ensure the smooth and secure integration of their services with the Vault ecosystem.
• Partner with Security to define the control requirements for the Vault platform (policy standards, privileged access, audit/evidence, compliance needs) and ensure designs meet those requirements.
• Lead regular security design reviews for Vault architecture decisions (authn/authz, policy model, namespaces/tenancy, seal strategy with KMS/HSM, audit logging) and drive alignment/sign-off with Security.
• Establish joint operating processes with Security for incident response and investigations, including break-glass access, audit log access patterns, and post-incident remediation.
• Coach and mentor other engineers on security best practices and the adoption of the new secrets management platform.

Your Skills

• You have hands-on expertise in designing, implementing, and operating HashiCorp Vault in large-scale production environments.
• Proven experience with multi-region deployments on public cloud platforms, preferably AWS. Experience with GCP and Azure is also highly valuable.
• Proficient with Infrastructure as Code (IaC) and Terraform.
• Knowledge of modern authentication and authorisation mechanisms (e.g., OIDC, SAML, JWT).
• Experience managing Public Key Infrastructure (PKI) and certificate lifecycles.
• Experience with observability tooling such as Grafana, Prometheus, and Loki.
• Proficient with Kubernetes and managed Kubernetes platforms such as EKS, GKS, and AKS.
• Experience with Kubernetes tooling such as Helm and Argo CD.
• You have a quality-first mindset with demonstrable experience in creating and automating testing strategies for critical infrastructure.
• You are happy to write and maintain clear documentation for other teams.
• You have excellent communication skills, with a proven ability to influence technical direction and mentor both junior and senior engineers.

Bonus Points For:

• Scripting or development experience in Go, Python, or similar.
• Experience writing or maintaining Kubernetes Operators.

Anaplan is looking for a Principal Software Engineer to be the technical leader for this critical initiative within our Experience Engineering workstream. You will define the long-term technical vision and architectural roadmap for adapting our platform for a global audience. This is a unique opportunity to own the strategy for internationalization (i18n) and localization (l10n) at scale for our award-winning planning technology. As Anaplan continues its strong growth in a competitive global market, delivering a world-class, localized experience is a key strategic priority, and you will be at the helm of the technical solution.

We are looking for a visionary and deeply technical leader who can navigate ambiguity, influence across the organization, and set the standard for engineering excellence.

Your Impact
•      Define the long-term technical vision and architectural roadmap for Anaplan's internationalization platform and infrastructure.
•      Lead the design and implementation of highly scalable, resilient systems for continuous localization, serving as the lead engineer and technical mentor.
•      Partner with engineering leadership and product management to shape the strategy for global readiness across all new features and products.
•      Solve the most complex technical challenges related to localization, anticipating future needs and ensuring architectural longevity.
•      Act as a force multiplier, mentoring senior engineers and driving technical excellence and best practices across multiple teams.
•      Directly enhance the experience for our global customers, making our platform more intuitive, accessible, and powerful for users in their native language.

Your Skills
•      Demonstrated ability to lead large-scale technical initiatives, from conception to delivery, and to make critical architectural decisions.
•      Understanding of i18n libraries and frameworks (e.g., i18next, ICU, react-intl.
•      Deep expertise in JavaScript (ES2015+), HTML, CSS, and modern front-end frameworks like React, preferably with TypeScript.
•      A collaborative mindset with exceptional communication skills, capable of building consensus and guiding technical strategy with empathy and clarity.
•      Expertise in writing scalable backend microservices; experience with the JVM (Java, Kotlin, Spring Boot) is a major plus.
•      Experience with deployment tools and technologies such as Docker, Kubernetes, and Terraform.
•      A history of presenting to stakeholders and a passion for sharing knowledge.

Anaplan is looking for a Principal Engineer to lead the design and build of a new, multi-region HashiCorp Vault platform. This is a pivotal role where you will serve as our Subject Matter Expert (SME), shaping the future of secrets management and governance for a platform that supports hundreds of engineers and top-flight companies around the world.

This is a hybrid role requiring at least two days a week in our Manchester office.

Your Impact

• Lead the architecture, design, and implementation of a new, multi-region HashiCorp Vault platform on public cloud.
• Take ownership of the solution architecture, creating and maintaining high-quality design documents and Architecture Decision Records (ADRs).
• Ensure platform resilience by developing and testing robust strategies for performance, Disaster Recovery (DR), and High Availability (HA).
• Act as the primary SME for the organisation on all aspects of Vault and modern secrets management, actively championing and evangelising best practices.
• Collaborate with and influence stakeholders, platform teams, and software engineers to ensure the smooth and secure integration of their services with the Vault ecosystem.
• Partner with Security to define the control requirements for the Vault platform (policy standards, privileged access, audit/evidence, compliance needs) and ensure designs meet those requirements.
• Lead regular security design reviews for Vault architecture decisions (authn/authz, policy model, namespaces/tenancy, seal strategy with KMS/HSM, audit logging) and drive alignment/sign-off with Security.
• Establish joint operating processes with Security for incident response and investigations, including break-glass access, audit log access patterns, and post-incident remediation.
• Coach and mentor other engineers on security best practices and the adoption of the new secrets management platform.

Your Skills

• You have hands-on expertise in designing, implementing, and operating HashiCorp Vault in large-scale production environments.
• Proven experience with multi-region deployments on public cloud platforms, preferably AWS. Experience with GCP and Azure is also highly valuable.
• Proficient with Infrastructure as Code (IaC) and Terraform.
• Knowledge of modern authentication and authorisation mechanisms (e.g., OIDC, SAML, JWT).
• Experience managing Public Key Infrastructure (PKI) and certificate lifecycles.
• Experience with observability tooling such as Grafana, Prometheus, and Loki.
• Proficient with Kubernetes and managed Kubernetes platforms such as EKS, GKS, and AKS.
• Experience with Kubernetes tooling such as Helm and Argo CD.
• You have a quality-first mindset with demonstrable experience in creating and automating testing strategies for critical infrastructure.
• You are happy to write and maintain clear documentation for other teams.
• You have excellent communication skills, with a proven ability to influence technical direction and mentor both junior and senior engineers.

Bonus Points For:

• Scripting or development experience in Go, Python, or similar.
• Experience writing or maintaining Kubernetes Operators.

We're seeking a versatile Senior GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. 

Your Impact  

• Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments 
• Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation 
• Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language 
• Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics 
• Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations 
• Optimize model inference pipelines for performance, cost, and scalability in production environments 
• Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour 
• Collaborate with data scientists to productionize ML models and forecasting algorithms 
• Write comprehensive tests, including unit tests, integration tests, and prompt regression suites 
• Participate in code reviews, technical design discussions, and knowledge-sharing sessions 
• Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption 

 Your Qualifications 

• Software engineering experience with a focus on ML/AI systems 
• Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) 
• Experience building and deploying LLM-powered applications in production 
• Proficiency in front-end development with React, TypeScript, and modern web technologies 
• Understanding of RESTful API design, microservices architecture, and cloud infrastructure 
• Experience with prompt engineering, RAG systems 
• Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems 
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines 
• Excellent problem-solving skills and attention to detail 
• Bachelor's degree in computer science, Machine Learning, or related field 

Preferred Qualifications 

• Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) 
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models 
• Experience with model serving frameworks (vLLM, TensorRT, Ray) 
• Background in forecasting, planning, or analytics applications 
• Familiarity with Anaplan or similar enterprise planning platforms 
• Experience with A/B testing and experimentation frameworks for AI features 
• Contributions to open-source ML projects or research publications 
• Experience with model observability tools (LangSmith, W&B, MLflow) 

 What Makes This Role Exciting 

• Lead a greenfield team building transformative AI capabilities from the ground up 
• Work on cutting-edge conversational and agentic AI technologies 
• Build user-facing AI features that directly impact how businesses plan and make decisions 
• Experiment with the latest GenAI models and techniques 
• Collaborate with talented engineers, data scientists, and product designers 
• Solve unique challenges at the intersection of AI and enterprise software 
• Grow your skills in both ML engineering and full-stack development 

#LI-SP1

We're seeking a versatile Senior GenAI Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. 

This role is flexible in scope, and we welcome candidates at all experience levels. This role is a hybrid position and will require you to be in our Manchester office twice a week. 

Your Impact  

• Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments 
• Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering and RAG implementation 
• Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language 
• Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics 
• Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations 
• Optimize model inference pipelines for performance, cost, and scalability in production environments 
• Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour 
• Collaborate with data scientists to productionize ML models and forecasting algorithms 
• Write comprehensive tests, including unit tests, integration tests, and prompt regression suites 
• Participate in code reviews, technical design discussions, and knowledge-sharing sessions 
• Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption 

 Your Qualifications 

• Software engineering experience with a focus on ML/AI systems 
• Strong programming skills in Python, including experience with ML frameworks (PyTorch, TensorFlow, Transformers) 
• Experience building and deploying LLM-powered applications in production 
• Proficiency in front-end development with React, TypeScript, and modern web technologies 
• Understanding of RESTful API design, microservices architecture, and cloud infrastructure 
• Experience with prompt engineering, RAG systems 
• Strong foundation in ML fundamentals, including NLP, time-series analysis, or recommender systems 
• Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines 
• Excellent problem-solving skills and attention to detail 
• Bachelor's degree in computer science, Machine Learning, or related field 

Preferred Qualifications 

• Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar) 
• Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models 
• Experience with model serving frameworks (vLLM, TensorRT, Ray) 
• Background in forecasting, planning, or analytics applications 
• Familiarity with Anaplan or similar enterprise planning platforms 
• Experience with A/B testing and experimentation frameworks for AI features 
• Contributions to open-source ML projects or research publications 
• Experience with model observability tools (LangSmith, W&B, MLflow) 

 What Makes This Role Exciting 

• Lead a greenfield team building transformative AI capabilities from the ground up 
• Work on cutting-edge conversational and agentic AI technologies 
• Build user-facing AI features that directly impact how businesses plan and make decisions 
• Experiment with the latest GenAI models and techniques 
• Collaborate with talented engineers, data scientists, and product designers 
• Solve unique challenges at the intersection of AI and enterprise software 
• Grow your skills in both ML engineering and full-stack development 

#LI-SP1

You’ll join the Platform & AI Enablement team within our GPTO Engineering, Orchestration, and Data organization as a Software Engineer, based in our Manchester, UK (hybrid) office. The team is responsible for building core capabilities that power our data infrastructure—enabling scalable, resilient, and intelligent systems to support enterprise-scale Business Planning Software solutions.

Your Impact

• Design, build, and ship enterprise-grade applications that serve thousands of tenants and tens of thousands of customers
• Write high-quality, well-tested code in Java and React, delivering features from idea to production in fast release cycles
• Collaborate daily with engineers, designers, and product managers to iterate quickly while keeping long-term maintainability in mind
• Apply engineering best practices in code reviews, pair programming, and design discussions, helping to raise the bar for quality
• Contribute to our API-first platform, ensuring consistency, reliability, and developer-friendly design across services
• Take pride in building software that is robust, secure, and scalable, while championing automation and CI/CD in every step of delivery
• Be an active voice in shaping solutions, bringing ideas to the table, and collaborating openly without ego.

Your Qualifications

• Hands-on software engineering experience (Java + React as core strengths)
• A proven track record of delivering enterprise-scale applications in collaborative team environments
• Strong knowledge of APIs, event-driven systems, and data-centric architectures
• Familiarity with CI/CD pipelines, automated testing, and daily release workflows
• Experience working in environments where quality, security, and performance cannot be compromised
• Excellent collaboration skills, with the ability to work across multiple teams and communicate clearly in fast-moving projects
• A genuine passion for software engineering as a craft — you code because you love it, not just as a job

Preferred Skills

• Have experience in scaling systems that support large multi-tenant customer bases
• Bring a polyglot mindset, using the right tool for the job when needed
• Enjoy mentoring junior engineers through pair programming, design input, or sharing best practices
• Thrive in fast-paced, high-velocity environments without cutting corners on quality
• Have a curiosity for new technologies and approaches, always looking for ways to improve how we build software

#LI-SP1

About Autotrader

You’ve probably heard of Autotrader, but do you know what we’re all about?  

We’re the UK’s leading automotive marketplace, a heritage brand, and a tech darling of the stock market. We bring together vehicle buyers and sellers to give them real choices. Cars may be what we're best known for but we’re also the place for pretty much everything else on wheels, from e-bikes to caravans. 

In the automotive world, change is a constant, that’s why we take our job of untangling the complex car-buying journey very seriously. 
 
At our core, we’re all about people. We go our own way while embracing diversity and celebrating our differences. We dedicate ourselves to the idea that we work better together. 

Autotrader is a beautiful, surprising and vibrant place to work. We might not be for everyone, but we could be perfect for you. 

About the role

We're looking for Principal Software Engineers to help us build a technology platform for more than just the needs of Autotrader.co.uk.

Utilising our public-facing web services and additional external data sources means that we'll be able to power businesses across the automotive industry.

Spring Boot, Apache Solr, Cloud SQL and Apache Kafka power our platform and process millions of events per day. As a team, our software developers are responsible for ensuring service availability and responsiveness continue to improve. They work on systems that handle thousands of requests per second, with sub-100 millisecond response times, servicing requests from over 50 client applications.

Our tech community value collaboration and teamwork. Interactions such as pairing, code reviews and regular stand-ups mean our software developers stay connected. Our principal engineers play a visible and vital role, are comfortable talking about system design and architecture, and know how to get the best out of our teams and our technology platforms.

You might assume that our name, "Autotrader," means you need to be a car enthusiast to work here. But that's not the case. We're looking for people who are passionate about their work and thrive in a collaborative environment.

What we're looking for

• A thorough understanding of Java and the JVM 

• Knowledge of server-side frameworks such as Spring

• Web application design and RESTful API know-how

• A structured approach to programming and testing, such as TDD

• Proven experience mentoring, coaching and sharing technical expertise 

• Architectural and system design knowledge  

• Experience leading and delivering technical projects

• SQL/Relational databases

• Document/Map based storage (eg: MongoDB)

• Working with Kafka messaging/streaming

About us

You've probably heard of Autotrader, but do you know what we're all about?

We're the most trusted, most visited automotive marketplace in the UK. A heritage brand and a tech innovator. We bring together vehicle buyers and sellers to give them real choices. Cars may be what we're best known for but we’re also the place for pretty much everything else on wheels, from e-bikes to caravans. 

In the automotive world, change is a constant, that’s why we take our job of untangling the complex car-buying journey very seriously. 
 
At our core, we’re all about people. We go our own way while embracing diversity and celebrating our differences. We dedicate ourselves to the idea that we work better together. 

Autotrader is a beautiful, surprising and vibrant place to work. We might not be for everyone, but we could be perfect for you. 

About the job

We’re looking for Principal Full Stack Engineers to join us! Our technology teams combine a diverse set of technologies to meet the needs of our users, handling millions of requests a day across over 600 systems. We build these systems with industry standard frameworks and tools, such as React and Angular on the front end and Java, Spring Boot, Cloud SQL and Apache Kafka on the back end. All of this runs on our cutting edge cloud delivery platform, facilitating over 60k releases to production a year.

We’re a close-knit tech community where collaboration and knowledge sharing are at the core of what we do. Regular pair programming, code reviews, and stand-ups ensure that our engineers stay connected and aligned. As a Principal Engineer, you’ll play a visible, strategic role in driving system design and architecture decisions, mentoring team members, and helping our teams deliver high-quality solutions at scale.

You might think that "Autotrader" means we’re looking for car enthusiasts, but that’s not the case. We’re looking for people who are passionate about technology, thrive in a collaborative environment, and have a genuine curiosity about solving complex problems.

What we’re looking for:

• Strong experience working across the stack, from designing scalable back-end systems to developing responsive front-end applications
• You should be comfortable working with Java, Spring Boot and the Java ecosystem / JVM
• Ability to architect and design complex, distributed systems that are scalable, maintainable, and performant
• Experience with modern front-end technologies (e.g., React or Angular, TypeScript/Modern JavaScript), along with proficiency in building RESTful APIs and web services.
• Strong knowledge of relational databases (SQL), along with experience working with document-based storage solutions (e.g., MongoDB)
• Experience with Kafka or other event-driven architectures
• A structured approach to development and testing (including Test-Driven Development) with a focus on continuous delivery and automation
• Proven experience leading and mentoring teams, helping others grow technically while delivering high-impact projects

During our application process, you will be asked two questions to help us learn more about you and how you align with our values. These will be used as part of our selection criteria, to determine if we progress your application further

Benefits

We’re offering a salary of £60,000 – £80,000, plus an additional 10% of your salary awarded to you in shares each year. These awarded shares will become yours in yearly instalments over the next three years, and you can choose to either sell them or keep them as shares. And you'll receive 28 days holiday, plus bank holidays and comprehensive private medical cover. 

That’s not all. You'll be enrolled in our pension scheme, where our standard contributions are 7% and employee contributions are 5%. We also have comprehensive private medical cover, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and much more.  

We always want to give you the support you need and help prioritise your wellbeing, that’s why we provide access to 24/7 online GP and dentist, as well as specialist support for assisted fertility, gender dysphoria, menopause, period care plans and lots more.  

On top of all that, our hybrid model, Connected Working, combines the best of both worlds – office and home working. You'll spend a minimum of 3 days a week in the office with your team, focused on collaboration and connection.

Additionally, we have our remote-first periods at set times during summer and winter. During these periods, you can work remotely anywhere in the UK and from certain locations abroad.

Discover more about our hiring process and explore our Engineering Blog.

#LI-CI1

#LI-Hybrid

About Prophecy 

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. To learn more, visit us on LinkedIn.

About the Role

As a Forward Deployed Solution Engineer, you will be a critical part of the go-to-market team owning the technical journey from initial customer engagement through to production go-live.This is a unique opportunity to operate at the intersection of engineering, sales, and customer delivery at a high-growth startup.

You are not just designing solutions you are building and shipping them. You will partner closely with Account Executives to win strategic deals, then lead hands-on implementation to ensure customers realize value quickly. This role is ideal for someone who thrives in fast-paced environments, enjoys solving ambiguous problems, and takes pride in delivering real-world impact through production systems.

What You’ll Do

• Own the Technical Win: Partner with Account Executives to lead deep technical discovery, shape solution design, and directly influence deal outcomes
• Translate Requirements into Solutions: Turn complex, ambiguous business needs into clear technical architectures, scoped plans, and executable project roadmaps
• Build & Ship Production Systems: Develop integrations, write scripts, configure APIs, and manage data flows to deliver production-ready implementations
• Drive Time-to-Value: Lead end-to-end deployments, ensuring customers reach their initial value milestones within the first 60–90 days
• Bridge Pre-Sales to Delivery: Own the transition from sales to implementation, including scoping, SOW creation, and execution
• Act as a Strategic Technical Advisor: Guide customers on architecture decisions, best practices, and long-term scalability
• Identify Expansion Opportunities: Partner with customers to uncover additional use cases and drive continued adoption and growth
• Close the Product Feedback Loop: Surface recurring challenges and contribute to product improvements through technical insights and specifications
• Operate with Ownership: Manage multiple high-impact projects simultaneously, maintaining a high bar for quality and execution

What You’ll Need

• 5+ years of experience in technical pre-sales (Solutions Engineering, Sales Engineering)
• 5+ years in a customer-facing role (Forward Deployed Engineering, Implementation Engineering, or Software Engineering)
• Strong hands-on experience building and shipping production systems in customer environments
• Proficiency in SQL and at least one scripting language (Python, JavaScript, or similar)
• Experience working with APIs, webhooks, and system integrations
• Familiarity with modern data stacks (e.g., Snowflake, Databricks, BigQuery) and ETL workflows
• Experience in cloud environments (AWS, Azure, or GCP)
• Ability to translate complex technical concepts into clear business outcomes for both technical and non-technical stakeholders

Preferred Qualifications

• Experience in a high-growth startup or fast-paced environment
• Background in solution architecture or technical pre-sales
• Experience authoring Statements of Work (SOWs) and scoping customer implementations
• Familiarity with data modeling, data pipelines, and large-scale data systems
• Comfort working across the full customer lifecycle, from pre-sales through post-deployment

Your submission of this information is governed by our privacy policy and our use thereof. 

With your passion to learn about the cloud, you are excited to help advance the Cloud Native management interfaces of an already Cloud Native Database platform.  You will be part of the team that helps set the direction and define the interfaces and components necessary to advance what it means to be a cloud native database platform. Your curiosity of the Cloud Native ecosystem will help bring Couchbase to everywhere it can add value.  Your ability to represent Couchbase’s interests in Open Source Cloud Native projects, engaging those communities as a knowledgeable expert, will further not only your company’s value, but also the value of that ecosystem. You will also be an advocate for Cloud Native tech to other subject matter experts in Couchbase Engineering. In doing so, you and Couchbase will continue to gather users, deployments and customers in the constantly growing database market.

RESPONSIBILITIES:

Implement Management Features

• Working with a team of subject matter experts and the product managers, implement a set of features integrating Couchbase with Cloud Native tech. Some of these exist already, and some have prototypes.  These include Prometheus, Fluentd and Fluent-bit, the Kubernetes Pod Autoscaler, etc.
• Be a bridge to other parts of the Engineering organization where product features interleave and depend upon each other. Keep track of delivery dates for dependent projects; partner with Quality Engineering in organizing interdependent project plans.

Support Across Lifecycle

• Contribute to and write tutorials on integration with Cloud Native ecosystem components such as Fluentd, Prometheus, Open Telemetry.
• Be an advocate to, and support Sales Engineers and Professional Services field organizations in understanding and bringing this tech to end users.
• Facilitate efficient development by the entire team through running development processes, ensuring dependent items are in place, adjusting course as needed to further improve efficiency of producing.

Partner to Product and Engineering

• Work with Product Managers, Architects and Principal Engineers in the definition and development of new features.  In particular, become a subject matter expert for the Product Management team on where the opportunities and challenges are in the Cloud Native ecosystem.
• Work across engineering teams, in some cases as a contributor or reviewer on projects and components outside your team, to help adoption of Cloud Native techniques and interfaces. 

PREFERRED QUALIFICATIONS:

• Motivated, self-learning where needed, and highly productive individual, ready to learn new technologies and become quickly proficient.
• Experience with software development and build automation processes (Jenkins, Github Actions)
• Expertise with Golang, Python, Docker, Kubernetes and the related ecosystems.
• Knowledge of deployment processes in the cloud (Cloud Formation, Terraform, ARM Templates, GCP Cloud Deployment Scripts)
• Experience working with a team distributed across time zones. 

MINIMUM QUALIFICATIONS:

• Demonstrable experience working with Kubernetes
• Desire to automate the boring stuff
• Proficient in one or more programming languages
• Passion for learning new technologies
• Presence on GitHub (or similar)
• Strong Unix/Linux administration skills

The Role 

We are looking for a Senior Infrastructure Manager who is, first and foremost, a people leader.

In this role, your primary responsibility is the health, performance, and career growth of your engineering team. While you must possess a solid technical background to understand the challenges your team faces, your day-to-day focus will not be hands-on technical work. Instead, you will use your experience to remove blockers, guide decision-making, and ensure your engineers have the environment they need to succeed.

You will act as the bridge between technical execution and business strategy, team budget management, defining roadmaps, and ensuring operational excellence across a complex hybrid (predominantly on-prem and some cloud) estate.

The Team You Will Lead 

You will lead the Infrastructure Solutions team within the wider Technical Operations department. Your engineers are responsible for building the environment, delivering projects as requested by Engineering and Product, and ensuring we remain available, scalable, and secure. They are not responsible for the BAU function of the platforms that is managed by another team within Technical Operations. The Infrastructure Solutions team takes a concept or idea and makes that into a reality within the boundaries and constraints of our platforms. 

You will be managing a team of engineers who individually possess experience in:

• On-Premise Linux systems, Container solutions, Debian packaging, Ansible, data streaming and queuing technologies such as Kafka or RabbitMQ
• Advanced database management knowledge (MySQL, Postgres) in replicated environments.
• Physical Network management, with an on-prem estate that is Juniper focused. 
• Cloud environments: GCP and AWS
• Platform engineer focused on building, maintaining and supporting an Internal Developer Platform (CI/CD)

The Operational Reality

It is important to be transparent about the environment you are joining. We operate at high velocity with a broad and complex technology estate. However, we are a lean team, not a giant corporation with endless resources.

• Context Switching is the Norm
• You will rarely have the luxury of focusing on a single task for weeks at a time. You will be required to shift focus multiple times a week, and sometimes multiple times a day, as business priorities evolve.
• Agility over Silos
• Because we are a lean team, we wear many hats. You must be comfortable pivoting from a strategic discussion to an operational challenge without losing momentum.
• Focus Management
• Success in this role requires the ability to maintain high standards while navigating a workload that changes dynamically. This is not a role for those who prefer a slow, singular focus; it is for those who thrive on variety, pace, and solving complex problems in real-time.

As the Senior Infrastructure Manager, You Will:

People Leadership & Talent Development

• Team Management
• Lead, mentor, and motivate a team of infrastructure engineers. Conduct weekly 1-2-1s, manage performance reviews, and handle all aspects of people management.
• Formal Training & Growth
• Go beyond ad-hoc mentoring to schedule and lead formal training sessions regarding operational improvements. Actively create professional development plans for your direct reports.
• Recruitment & Retention
• Own the hiring process for your team, ensuring we attract top talent and maintain a supportive, inclusive culture.
• Culture of Learning
• Foster a "Self-Learner" mindset. Create a transparent environment where failures are treated as learning opportunities and documented as such for future reference.

Strategic & Operational Management

• Budget & Capacity Planning
• Ability to own your team's budget and lead capacity planning initiatives. You will forecast future infrastructure needs to ensure we remain scalable while managing spend for subscriptions and hardware.
• Risk & Contingency
• Proactively identify operational risks and form contingency plans immediately to ensure business continuity.
• Procedure & Frameworks
• Ability to define, maintain, and cascade operational procedures (SOPs) and ITIL standards.
• Prioritisation
• Shield your team from noise by effectively prioritising workloads (Changes, Problems, and Projects) and managing stakeholder expectations.

Technical Support & Oversight

• Performance Optimisation
• Measure and optimise system performance with a focus on improving reliability and time-to-market. You will drive innovation to get ahead of internal customer needs rather than just reacting to them.
• Visual Documentation
• Ensure the team produces detailed system design documentation, specifically enforcing the inclusion of visual representations to support understanding. Ability to technologically assess it as a technical editor.
• Hybrid Estate Management
• Ability to oversee the management of both On-Premise and Cloud (GCP/AWS), ensuring high availability across all environments.
• Unblocking Issues
• Act as the senior escalation point for complex technical issues. Your goal is not to fix the issue yourself, but to coordinate the right resources and provide air cover.

General Duties

On-Call DutiesWillingness to participate in the Management On-Call Rotation to support the department and the business (Current frequency: Once every three weeks).Ad-HocCarry out other strategic or technical duties required to support the Director/VP of Technical Operations.

Essential Knowledge, Skills, and Experience

Leadership & Management Competencies

• Proven Management Experience
• Significant experience leading a technical team, with a specific focus on the people management aspect (performance reviews, career growth etc).
• Project Management
• Strong project management experience with the ability to delegate effectively to meet tight deadlines. You must be able to multitask and maintain focus in a high-priority environment.
• Communication
• Exceptional verbal and written communication skills. You must be able to liaise effectively with management and other business areas. Engagement may also include interactions with senior technical engineers/leaders within other teams and C-Team members. 
• Goal Oriented
• You must be highly goal-oriented with strict attention to detail, capable of prioritising workload and demand to ensure targets are met.
• ITIL Application / Lean Six Sigma
• Deep knowledge of and experience with ITIL practices, with the ability to apply them to improve team workflows. Demonstrated ability to apply Lean Six Sigma concepts.

Technical Environment & Team Capabilities

Focusing on the technical skills that your engineers possess, it would be ideal if you had a decent working knowledge of each of the areas. Hands-on expertise in every area is not required, but the ability to hold and facilitate discussions, know when to push or hold back and when to ask poignant questions will help you effectively mentor the team and guide architectural decisions. 

For reference from above these areas are: on-prem and AWS/GCP solutions; system design from network to application level; resilient database availability strategies; automation and configuration management via Ansible, Docker and CI/CD; programming awareness in Python; Linux administration.

Your willingness to learn what you don’t know is required to succeed in this role and we will support you through that journey.

Desirable Knowledge, Skills, and Experience

The following skills or experiences are advantageous but not strictly required. They would be utilised for facilitating tasks rather than for direct, hands-on implementation.

• Innovation & Debt Management
• A keen interest in new technologies and innovation, specifically supporting development teams in the refactoring of technical debt.
• Advanced Containerization
• Deep knowledge of Kubernetes, Docker, and container ecosystems.
• Observability
• Experience with monitoring systems (e.g., Zabbix, Grafana) and logging stacks (Elasticsearch, Kibana).
• Data Streaming
• Experience with data streaming and queuing technologies, specifically Apache Kafka and Druid.
• Web & Storage
• Knowledge of Nginx (or other web server technologies) and storage technologies like Gluster.
• Tooling
• Proficiency with JIRA and Confluence for project tracking and documentation.
• Version Control
• strong understanding of Git and version control best practices.

Why This Role?

If you are an experienced technical leader who finds more satisfaction in growing people and building high-performing teams than in closing tickets yourself, this is the role for you. You will have the autonomy to shape the culture of the Infrastructure function and the strategic backing to make a real impact on the business

A Note to Candidates

At Partnerize, we recognise that the perfect candidate doesn't exist. If you are a strong people manager with a background in tech, but maybe haven't touched a command line in a few years - that’s okay! We are looking for leadership first. We encourage you to apply if you feel you have the management skills to help our team thrive.

UK Benefits & Perks

• 25 days holiday in addition to bank holidays 
• Enhanced Parental Leave: 6 months full pay for birth parent, 4 weeks non-birth parent at full pay after one year employment
• 5 extra 'Partnerize Parental Days' each year
• Private Medical Insurance through Vitality 
• Enhanced pension contributions
• Cycle to Work scheme 
• Eye Care Vouchers 
• Life Assurance
• Enhanced Wellness Program including access to EAP, Wellness Coaching & Wellness Fridays program
• Regular company events and activities

About the team

At Roku, the UI Systems team builds the high-performance engines and core graphics infrastructure that power millions of devices. We own the low-level C++ frameworks, rendering pipelines, and system architectures that enable smooth navigation and rich animations. Our work sits at the intersection of hardware and software, where we optimize graphics rendering, memory management, and layout engines to ensure a consistent, lightning-fast experience across our entire device portfolio. We operate in a collaborative, high-trust environment, partnering closely with firmware and silicon teams to push the boundaries of what’s possible on embedded hardware.

About the role

As a Senior Software Engineer, you will be a key architect of the core systems that underpin Roku’s user experience. You will design and implement performance-critical code within our UI engine, focusing on graphics primitives, memory efficiency, and hardware acceleration. You’ll tackle complex systems-level challenges—such as optimizing frame rates on resource-constrained hardware and building robust APIs for higher-level frameworks. This role is ideal for engineers who thrive on low-level systems programming, care about performance down to the microsecond, and want to build the high-performance foundations that power the future of television.

What you’ll be doing

• Architect and optimize core C++ UI frameworks and rendering engines to ensure buttery-smooth performance across a diverse range of hardware profiles.
• Lead technical investigations into system-level bottlenecks, memory leaks, and GPU/CPU synchronization issues.
• Develop and maintain low-level graphics APIs and layout systems that serve as the backbone for Roku’s application ecosystem.
• Integrate AI/ML capabilities at the systems level, leveraging generative AI tools to optimize code generation and automate performance profiling.
• Collaborate with firmware and driver teams to leverage hardware-specific optimizations and ensure seamless integration with the underlying OS.
• Mentor junior developers through deep-dive code reviews, architectural design sessions, and technical documentation of core systems.
• Drive engineering excellence by implementing advanced debugging tools, automated performance regression suites, and modern C++ best practices.

We’re excited if you have

• Minimum of 5+ years of software engineering experience with a heavy focus on C++ (C++14/17/20).
• Deep understanding of systems programming, including memory management, multi-threading, and hardware-software abstraction layers.
• Experience with graphics APIs (e.g., OpenGL, Vulkan, or proprietary embedded graphics stacks) and rendering pipelines.
• Proficiency in Python for tooling and automation, with a working knowledge of BrightScript or JavaScript being a significant plus.
• Strong root cause analysis skills, specifically using tools like GDB, Valgrind, or platform-specific profilers.
• Knowledge of AI applications and hands-on experience using generative AI tools to accelerate systems-level development.
• A proactive mindset with a passion for squeezing every drop of performance out of embedded systems and a commitment to data-driven optimization.

About the team

At Roku, the UI Systems team builds the high-performance engines and core graphics infrastructure that power millions of devices. We own the low-level C++ frameworks, rendering pipelines, and system architectures that enable smooth navigation and rich animations. Our work sits at the intersection of hardware and software, where we optimize graphics rendering, memory management, and layout engines to ensure a consistent, lightning-fast experience across our entire device portfolio. We operate in a collaborative, high-trust environment, partnering closely with firmware and silicon teams to push the boundaries of what’s possible on embedded hardware.

About the role

As a Senior Software Engineer , you will be a key architect of the core systems that underpin Roku’s user experience. You will design and implement performance-critical code within our UI engine, focusing on graphics primitives, memory efficiency, and hardware acceleration. You’ll tackle complex systems-level challenges—such as optimizing frame rates on resource-constrained hardware and building robust APIs for higher-level frameworks. This role is ideal for engineers who thrive on low-level systems programming, care about performance down to the microsecond, and want to build the high-performance foundations that power the future of television.

What you’ll be doing

• Architect and optimize core C++ UI frameworks and rendering engines to ensure buttery-smooth performance across a diverse range of hardware profiles.
• Lead technical investigations into system-level bottlenecks, memory leaks, and GPU/CPU synchronization issues.
• Develop and maintain low-level graphics APIs and layout systems that serve as the backbone for Roku’s application ecosystem.
• Integrate AI/ML capabilities at the systems level, leveraging generative AI tools to optimize code generation and automate performance profiling.
• Collaborate with firmware and driver teams to leverage hardware-specific optimizations and ensure seamless integration with the underlying OS.
• Mentor junior developers through deep-dive code reviews, architectural design sessions, and technical documentation of core systems.
• Drive engineering excellence by implementing advanced debugging tools, automated performance regression suites, and modern C++ best practices.

We’re excited if you have

• Minimum of 5+ years of software engineering experience with a heavy focus on C++ (C++14/17/20).
• Deep understanding of systems programming, including memory management, multi-threading, and hardware-software abstraction layers.
• Experience with graphics APIs (e.g., OpenGL, Vulkan, or proprietary embedded graphics stacks) and rendering pipelines.
• Proficiency in Python for tooling and automation, with a working knowledge of BrightScript or JavaScript being a significant plus.
• Strong root cause analysis skills, specifically using tools like GDB, Valgrind, or platform-specific profilers.
• Knowledge of AI applications and hands-on experience using generative AI tools to accelerate systems-level development.
• A proactive mindset with a passion for squeezing every drop of performance out of embedded systems and a commitment to data-driven optimization.