About The Role 

With millions of users worldwide, our products have earned a reputation for "just working" seamlessly right out of the box, almost like magic. This seamless experience is no accident; it's a testament to our commitment to creating products that are not just intuitive but downright obvious. At the heart of this commitment is the Roku OS QA Team, dedicated to rigorously testing every product and feature to ensure we deliver the most reliable streaming media platform in the industry.

Our mission is simple: help people effortlessly find and stream the content they love. We achieve this through cutting-edge technology and engineering, always putting the customer at the center of everything we do.

About the Team

As part of our team, you'll leverage your diverse skills to support both Software Engineers and QA Engineers, tackling the daily challenges of their roles. Your specialist knowledge, combined with the use of AI technologies, will be invaluable in suggesting improvements to enhance quality and streamline workflows, ensuring we continue to exceed our customers' expectations.

What you'll be doing

• Contribute to tools and technology
• Design, develop, and maintain AI-driven automation systems
• Collaborate with data scientists, software engineers, and product teams to understand and deliver AI-based solutions.
• Build new tools and technology
• Debug failing tests to improve the quality of automated test tools and frameworks
• Conduct code reviews for improve code quality and optimization
• Promote coding conventions and standards for code re-usability and cleanliness
• Assist in monitoring and maintenance of critical systems

We're excited if you have

• 3+ years of hands-on experience with automation systems
• 3+ years of Python programming experience
• 2+ years of experience developing test plans and test cases
• Ability to write simple Python scripts to preprocess data or interact with ML APIs.
• Bachelor’s degree in Computer Science or related
• Excellent verbal and written communication skills
• Experience working with remote teams
• Some knowledge of continuous integration tools (Jenkins/Hudson, TeamCity, Maven, Gradle)
• Hands on experience and proficiency in Linux/Unix systems
• Ability to learn new technologies quickly
• A self-directed professional able to work independently
• Previous experience with Non-Functional Testing (Performance Testing, Stress Testing)

#LI-AB3

About the team

With so many people using Roku’s 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.  To support that commitment, the Roku’s Automation support and Tools team focuses on providing innovative and impactful tools that improve efficiency, enhance productivity of all engineering to test Roku products, from industry’s most reliable streaming media platform to smart home products that seamlessly integrate with Roku entertainment OS for a great connected home user experience. We accomplish this using state of the art technology and engineering to make it happen, with consideration for the customer as the centre of all that we do.

Roku’s embedded software automation and tools team has an excellent opportunity for a Senior Software Engineer with strong experience in building automation framework and tools for embedded devices. The role involves developing and maintaining software and tools that help various internal teams to test and manage Roku’s products. Working closely with internal stakeholders to enhance existing automation toolset with new capabilities and advanced features that empower all engineering and accelerate validation efforts for SW releases. 

About the role

You will work cross-functionally with various engineering teams, using your automation tooling expertise to help both firmware developers and QA to create and deliver the highest quality products that provide valuable end-user feedback to improve customer experience. This position requires Python expertise with strong experience using web frameworks, excellent debugging, written, and organizational skills. You will be joining a talented, high-performance team of developers with a history of delivery. We are looking for someone who can help us maintain this pace and continue delivering high quality as we grow. 

We are looking for a keen problem solver and a self-motivated individual with excellent communication and collaborative skills who is eager to learn and grow in the consumer electronics space. As an engineer on the team, you will require the skills and confidence to undertake the challenges of working in a fast-paced environment, frequently be taken out of your comfort zone, and relish getting your hands dirty working with user-facing products. 

What you will be doing:

• Develop and release new E2E automation support and tools 
• Debug issues to improve the quality of automated test tools and frameworks 
• Conduct code reviews to improve code quality and optimization 
• Promote coding conventions and standards for code re-usability and cleanliness 
• Document feature guides, identify and formulate user requirements, and define product behavior 
• Support and maintain existing automation tools and technology 
• Mentor less experienced engineers and drive automation development 
• Assist in monitoring and maintenance of critical systems 
• Champion the adoption of AI tools and technologies to enhance automation capabilities and team productivity. 
• Review and provide technical feedback on design documents and high-level architecture diagrams across multiple tools and teams, with a focus on evaluating design trade-offs, scalability, maintainability, and alignment with overall system architecture. 

We're excited if you have:

• 10+ years of hands-on experience with automation systems 
• 10+ years of programming experience, preferably with Python 
• Bachelor’s degree in computer science or related field 
• Proficient in Linux, Python-based test automation frameworks, and tools using REST APIs 
• Hands-on experience in development/integration of E2E test automation frameworks and tools for embedded software devices 
• Proficient use of AI tools and technologies with a proven track record as a promoter and advocate for AI adoption in software development and testing automation. 
• Agentic workflow familiarity: Working knowledge of multi-step AI orchestration frameworks and the practical use of AI agents to support and streamline day-to-day development workflows. 
• Experienced in developing and maintaining web-based tools using JavaScript and React/Next.js 
• Experience with DevOps and continuous integration tools (Jenkins, GitLab CI, Docker, and Kubernetes) 
• Experience with CI/CD pipeline development and deployment via AWS or GCP cloud technologies 
• Experience with unit testing frameworks – pytest/pyunit and Cypress for UI testing 
• Experience developing web applications using Flask, FastAPI, Django, and Nginx 
• Knowledge in using AI for increasing test automation coverage and productivity 
• Experience with retail Consumer Electronic (CE) devices, ideally in the Over The Top (OTT) streaming domain 
• Expert problem-solving and technical troubleshooting skills 
• Ability to learn new technologies quickly 
• A self-directed professional able to work independently 
• Ability to work through ambiguous requirements and be flexible/adaptable to change 
• Comfortable and experienced working with cross-functional peers and internal stakeholders across European and US time zones 
• Excellent communication and collaborative skills 

Additional nice to have skills: 

• Previous experience with Non-Functional Testing (Performance Testing, Stress Testing) 
• Knowledge of network technologies and libraries such as TCP/IP and HTTP 
• Experience with database technologies (MySQL, PostgreSQL, MongoDB, Redis) for test data management 
• Familiarity with monitoring and observability tools (Grafana, Prometheus, ELK stack, Datadog) 
• Knowledge of streaming protocols and technologies (HLS, DASH, RTMP, WebRTC) 
• Experience with API testing tools (Postman, REST Assured, GraphQL) 
• Understanding of security testing principles and tools (OWASP, penetration testing) 
• Experience with mobile testing frameworks and cross-platform testing 
• Familiarity with test reporting and analytics platforms (Allure, TestRail, ReportPortal) 
• Experience with infrastructure as code (Terraform, Ansible, CloudFormation) 
• Knowledge of machine learning concepts for test optimization and predictive analysis 
• Familiarity with Agile/Scrum methodologies and project management tools (Jira, Confluence) 
• Basic understanding of hardware debugging tools and techniques for embedded systems 

#LI-AB3

About the team

With so many people using Roku’s 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.  To support that commitment, the Roku’s Automation support and Tools team focuses on providing innovative and impactful tools that improve efficiency, enhance productivity of all engineering to test Roku products, from industry’s most reliable streaming media platform to smart home products that seamlessly integrate with Roku entertainment OS for a great connected home user experience. We accomplish this using state of the art technology and engineering to make it happen, with consideration for the customer as the centre of all that we do.

About the role

The Roku’s software automation and tools team has an excellent opportunity for a Senior Software Engineer with strong experience in building automation framework and tools for SW embedded devices. The role involves developing and maintaining software and tools that help various internal teams to test and manage Roku’s products. Working closely with internal stakeholders to enhance existing automation toolset with new capabilities and advanced features that empower all engineering and accelerate validation efforts for SW releases.

You will work cross-functionally with various engineering teams, using your finest automation expertise to help both FW developers and QA to create and deliver highest quality product that help in provide valuable end-user feedback to improve customer’s experience.  This position requires python expertise with strong experience of using web frameworks, excellent debugging, written and organizational skills. You will be joining a talented, high-performance team of developers with a history of delivery.  We are looking for someone who can help us keep up this pace and continue delivering high quality as we grow.

We are looking for a keen problem solver and a self-motivated individual with excellent communication and collaborative skills who is eager to learn and grow in consumer electronics space. As an engineer on the team you will require skills and confidence to undertake the challenges of working in a fast-paced environment, frequently be taken out of your comfort zone and relish getting your hands dirty working with user facing products

What you'll be doing

• Support and maintain existing automation tools and technology
• Develop and release new E2E automation support and tools
• Debug issues to improve the quality of automated test tools and frameworks
• Conduct code reviews to improve code quality and optimization
• Promote coding conventions and standards for code re-usability and cleanliness
• Document Feature guides, identify and formulate user requirements, product behavior
• Mentor less experienced engineers and driving automation development
• Assist in monitoring and maintenance of critical systems

We're excited if you have

• 5+ years of hands-on experience with automation systems
• 5+ years of programming experience, preferably with Python
• Bachelor’s degree in Computer Science or related
• Proficient in linux, Python based test automation frameworks and tools using REST APIs
• Hands on experience in development/integration of E2E test automation framework and tools for embedded software devices
• Experienced in developing and maintaining web based tools using Javascript, React
• Proficiency with DevOps, continuous integration tools (Jenkins, Gitlab CI, Teamcity, Docker and Kubernetes)
• Experience with CI/CD pipeline development and deployment via AWS or GCP cloud technologies
• Experience with Unit Testing frameworks – pytest/pyunit and cypress, playwright for UI testing
• Experience of developing web applications using Flask, FastAPI, Django, Nginx
• Experience and knowledge of using generative AI
• Expert problem-solving and technical troubleshooting skills
• Ability to learn new technologies quickly
• A self-directed professional able to work independently
• Ability to work through ambiguous requirements and being flexible/adaptable to change
• Comfortable and experienced working with cross-functional peers and internal stakeholders across European and US timezones
• Excellent communication and collaborative skills
• Experience with retail Consumer Electronic (CE) devices, ideally in the Over The Top (OTT) streaming domain
• Previous experience with Non-Functional Testing (Performance Testing, Stress Testing)
• Knowledge of network technologies and libraries such as TCP/IP and HTTP
• Previous experience and knowledge of image processing and inferencing, creating computer vision capabilities for visual testing

#LI-AB3

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 Role 

With millions of users worldwide, our products have earned a reputation for "just working" seamlessly right out of the box, almost like magic. This seamless experience is no accident; it's a testament to our commitment to creating products that are not just intuitive but downright obvious. At the heart of this commitment is the Roku OS QA Team, dedicated to rigorously testing every product and feature to ensure we deliver the most reliable streaming media platform in the industry.

Our mission is simple: help people effortlessly find and stream the content they love. We achieve this through cutting-edge technology and engineering, always putting the customer at the center of everything we do.

About the Team

As part of our team, you'll leverage your diverse skills to support both Software Engineers and QA Engineers, tackling the daily challenges of their roles. Your specialist knowledge will be invaluable in suggesting improvements to enhance quality and streamline workflows, ensuring we continue to exceed our customers' expectations.

As a Senior Software Engineer (SDET), you'll be the transformational force that revolutionizes our testing approach. You'll leverage AI and advanced analytics to identify quality gaps, architect intelligent testing solutions, and establish new standards for test effectiveness that go beyond simple coverage metrics.

What you'll be doing

• Design and implement intelligent test analysis systems that identify quality gaps, predict failure patterns, and optimize test effectiveness
• Design systems that collect, analyse and act on the testing data to continuously improve on the quality processes
• Experience with systematic regression tracking and implementing process to prevent regression reoccurrence
• Establish new methodologies for measuring and improving test quality beyond simple pass/fail metrics, focusing on regression prevention and production reliability 
• Leverage AI-powered tools for automated failure analysis, root cause identification, and test flakiness scoring
• Define and implement architectural patterns that make testing more effective, maintainable, and aligned with business impact

We're excited if you have

• 5+ years of hands-on experience with test architecture and automation systems design
• 8+ years of programming experience across multiple languages with Python
• Proven track record in driving test transformation: Experience leading initiatives that significantly improved test effectiveness and reduced production issues
• AI expertise for testing: Ability to design, implement, and optimize solutions leveraging LLMs, and predictive analytics for quality assurance
• Knowledge of continuous integration tools (Jenkins/GitLab, TeamCity, AWS) and their optimization for quality gates
• Advanced test analysis skills: Experience with test flakiness analysis, failure pattern recognition, and automated root cause identification
• Excellent verbal and written communication skills with ability to influence senior leadership and cross functional teams on quality initiatives
• Some working knowledge of C++
• Leadership experience mentoring engineers and driving organizational change in testing practices
• Certifications or training in AI/ML or AI testing (e.g., Coursera AI for Everyone, Google AI Engineer, ISTQB AI Testing Foundation)

#LI-AB3

About the role

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. To support that commitment, the Roku Ads Test Automation Team focuses on testing Ad products and features for the industry’s most reliable streaming media platform. Our goal is to help people find what they want and make it easier for people to stream. We accomplish this using state-of-the-art technology and engineering to make it happen, with consideration for the customer as the centre of all that we do.

We are seeking an experienced and versatile Software Development Engineer in Test to own quality of ad features on Roku Platform. You will be responsible for end-to-end execution of ad product which includes cross-team collaboration for feature testing, developing test plans, coordinate testing with manual QA, create an automation strategy, deployment of library/feature and more. You should be able to represent automation and QA concerns in meetings with cross-functional, project team members and provide valuable end-user feedback to improve the customer experience. This position requires a solid understanding of software development life-cycle experience with a variety of testing techniques, strong debugging, written and organizational skills, and automation experience.

About The Team

Our team works on qualifying all Ads products and features on Roku Platform. You will be joining a talented, high-performance team of SDETs with a history of delivery. We are looking for someone who can help us keep up this pace and continue delivering high quality as we grow.

What you'll be doing

• Own and execute the feature testing, create test plan documentation, collaborate with developers, product lead and other manual QA
• Develop Automated tests that run on Roku players and TVs
• Convert manual test cases into reliable, repeatable automated tests
• Contribute to the Continuous Integration pipeline by running component builds, creating and running Deployment jobs on individual stages on Jenkins, and running automated functional tests.
• Debug failing tests to improve product and automated test quality
• Promote coding conventions and standards for code re-usability and cleanliness
• Conduct code reviews for improved code quality and optimization

We are excited if you have

• 5+ years of Software Engineering
• 3+ years of hands-on experience with automation systems and unit testing (Python)
• Strong problem-solving, analytical and technical troubleshooting skills
• Solid knowledge and experience developing test plans and test cases
• Strong debugging skills
• Excellent verbal and written communication skills
• Research and documentation skills
• Ability to learn new technologies quickly
• Ability to work independently and be self-directed
• Bachelor's degree in Computer Science or related
• Experience with big data analytics: Splunk, ELK, Hive, Redshift, etc. (nice to have)
• In-depth knowledge of streaming back-ends and formats (nice to have)
• Experience working with Smart/Digital TV (HDMI), Setup Boxes, Wi-Fi
• (2.4Ghz & 5GHz), TV remote controllers (nice to have)
• International product experience (nice to have)

#LI-AB3

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 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

We are looking for a creative, diligent Senior Software Engineering Manager who will be responsible for driving the engineering teams researching and developing the next generation of PlayStation's testing technology. This technology - including automation tools, framework and CI infrastructure - is used to analyze the quality of front end workflows on the PS5.

As a Senior Manager, Software Engineering (Quality Engineering), you will lead and develop a team responsible for ensuring high-quality software delivery across multiple products and platforms. This role shapes quality strategy, drives engineering excellence, and enables efficient, reliable release processes. You will work cross-functionally and lead a distributed team across locations, embedding quality practices throughout the development lifecycle. The position entails collaboration with quality management leadership, different internal departments, as well as open source software communities. Together we will build an environment oriented to trust, open communication, creative thinking and cohesive team effort. You will also work closely with your peers and leadership to establish project prioritisation, team goals and overall quality.

What you'll be doing:

• Lead, mentor, and develop a distributed team of quality engineers across multiple products and platforms.
• Manage and support remote team members, fostering effective collaboration across geographically dispersed teams.
• Define team member development and career path opportunities with team members and mentor them to achieve goals.
• Monitor and review everyone’s performance, deliver regular performance appraisals.
• Manage team capacity planning, hiring, onboarding and ensure effective succession planning for your teams.
• Lead day-to-day activities of engineering team using Agile/Scrum methodology.
• Define and implement quality engineering strategy, vision, and best practices to support reliable and efficient software delivery.
• Partner with product and development teams to define test strategies, acceptance criteria, and release plans.
• Identify, assess, and communicate risks to delivery timelines and product quality.
• Lead all aspects of delivery for general technical architecture and infrastructure to support the continued development of projects, including tools and pipelines.
• Research and craft new tools for overcoming inefficient processes by automating work.
• Advocate for reducing technical debt, improving test coverage, and maintaining engineering standards.
• Lead retrospective analysis of activities and champion continuous process improvement.

What We’re Looking For:

• At least five years in a people management role. Proven success in people management including mentorship. Past experience supervising people managers is strongly preferred.
• Effective leading of multiple Agile teams in quality and testing engineering domains. (Software engineering managers with deep experience and understanding of testing groups and processes should also apply.)
• Outstanding verbal and written communication skills, which encompass presenting to senior leadership, product managers, software engineers, project managers, and customers.
• Significant experience with software engineering practices, software automation and testing systems (for example, Jenkins).
• Proficient in Python programming. Enough C++ experience to provide guidance in larger architectural discussion and occasional code review.
• A solid understanding of the software development lifecycle, and applying proven software methodologies to testing and driving reductions in technical debt.            

Nice-to-haves

• Machine learning background.
• Prior experience with console or PC game development.
• Past experience with cloud computing and containerization.
• Development and debugging tools experience on Windows.

This senior role focuses on strengthening the quality engineering foundation for our SDK by developing robust automation, scalable CI/CD systems, and effective test strategies. You will work closely with cross-functional partners to enhance test coverage, improve workflows, and ensure reliable delivery across multiple platforms. The role requires strong technical depth, collaborative working, and the ability to drive meaningful impact quickly.

What you’ll be doing

• Designing, implementing, and maintaining CI/CD pipelines to support build, test, and release workflows.
• Developing automation and tooling in Python to streamline test orchestration and system validation.
• Creating and running automated tests across unit, integration, and system layers.
• Debugging and diagnosing issues across build, test, and deployment environments.
• Supporting Linux and Windows development environments and contributing to cross-platform scripting.
• Applying modern test frameworks and quality metrics to improve test strategy and reporting.
• Collaborating closely with multiple SDK teams to align on shared initiatives.
• Participating in rotational assignments to deepen domain expertise and broaden cross-project knowledge.
• Coordinating with teams across London, Bristol, and Dublin, including occasional travel as needed.
• Mentoring peers, sharing best practices, and influencing quality engineering approaches.

What we are looking for

• Experience building and maintaining CI/CD pipelines (Jenkins/Groovy or equivalent).
• Strong Python 3 skills for automation, tooling, and test orchestration.
• Experience developing and executing automated tests at multiple levels.
• Fluency with Linux and Windows development environments.
• Proficiency with scripting languages such as python, bash, or PowerShell.
• Ability to diagnose and resolve issues across complex build and test systems.
• Familiarity with test frameworks such as pytest, GTest, or similar.
• Understanding of software quality metrics, reporting, and test strategy.
• Experience or awareness in one or more additional areas: C/C++, CMake, C#, Rust, .NET, Docker, Kubernetes, VM orchestration, graphics APIs, AIML/MLOps, or desktop app testing.
• Strong communication and collaboration skills, with the ability to work effectively across distributed teams and represent quality engineering perspectives.

Why Verifone

For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness.

Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What's Exciting About the Role

Verifone is seeking an experienced MySQL Lead DBA who will be responsible for ensuring database performance, high availability, and security of clusters and single instances of MySQL instances. You will also be responsible for orchestrating upgrades, backups, HA/DR, and provisioning database instances. You will work closely with other teams, including application architects/ Sr. Developers and application support engineers for architecture design and SQL optimization, establishing and documenting best practices.

We look for dedicated and versatile engineers who are passionate about working in a company whose culture is dedicated to delivering innovative software products that solve our customers’ most challenging business needs. As a Lead DBA, you’ll have the opportunity to make significant and direct impact on our database performance, applications, and solve some of the most complex challenges in cloud and on prem environments, while lead the team from a technical and development perspective.

This hybrid role is open to hiring candidates located in:

• Bucharest, Romania
• London, United Kingdom
• Riga, Lativa
• Warsaw, Poland

Key Responsibilities

You will be responsible for ensuring that database management policies, processes and procedures are established and followed, adhering to ITIL good practice principles and are subjected to continuous improvement as per PCI standards. They will be responsible for reviewing system design changes to ensure they adhere to expected service standards and recommend changes to ensure maximum stability, availability and efficiency of the supported applications.

The candidate should understand the application functionality, business logics and work with application stake holders to understand the requirement and discuss with the new application features and propose the right solutions. He must liaise closely and work in collaboration with the release management teams, support teams and the infrastructure DBAs. 

• Design, Install, Deploy and Manage MySQL on Physical, Virtual, AWS EC2 / RDS / Aurora.
• Build MySQL clusters with a high availability, active-active cluster setup in a large scale and multi datacenter environments having minimum RPO/RTO on a DR scenario
• Design and implement uniform backup strategy and business continuity plans across the MySQL environments using Percona XtraDB or custom automation scripts with reliable monitoring and alerting mechanisms
• Define thorough and validated database monitoring and alerting, along with documentation for future references
• Setup high availability with Master-Master/ Master-slave replication
• Maintain stable performance via server optimizations
• Guide engineering teams to best practices on server configurations and SQL tuning.
• Maintain security and compliance via OS and database version upgrades
• Work with application stake holders to create effective database solutions
• Create and maintain adhoc reports
• Adhere to the incident and change process, prepare thorough documentation, and peer review planned production tasks
• Support application release process, and automations
• Mentor and develop other engineers on MySQL skills

Required Qualifications/Skills

• Minimum 8 years of experience managing MySQL
• Experience with MySQL Active/Active cluster setup, Database Upgrade and Migrations, Scripting
• Experience administrating MySQL on Linux platform
• Experience with MySQL version upgrades in production environments with a zero or very minimum application down time
• Experience with design & architecting MySQL environments using any framework such as Galera Cluster or Percona XtraDB
• Experience deploying database monitoring using at least one of PMM, New Relic, Datadog, Nagios, Grafana, ELK, AppD, etc.
• Infrastructure as Code (IaC) such as Terraform, Ansible, Puppet, Chef
• Proficiency with cloud infrastructure, AWS RDS or equivalent.
• Automation/scripting skills in a modern language like Python, Shell scripting, Go, Java, Rust.
• Proficiency in CI/CD pipelines such as Jenkins, Github Actions, Gitlab.
• Advanced experience with database performance tuning including SQL tuning, hardware configuration and capacity planning.
• Strong technical leadership, mentoring and time management skills.

Preferred Skills (Not Mandatory)

• Experience working with PCI (Payment Card Industry Data Security) standards
• ITIL environment experience
• Deep experience with SQL, stored procedures, functions, triggers, batch jobs, reporting, analytics.
• Experience managing PostgreSQL, SQL Server, and/or Oracle.
• Experience and knowledge with NoSQL and data engineering technologies such as Kafka, Redis, Snowflake, Databricks, Spark, Redshift, ETL, etc.
• Experience with data analytics and Business intelligence

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Senior Enterprise Account Executive 

Black Duck helps organizations build secure, high‑quality software by minimizing risk and maximizing development speed. As a pioneer in application security, Black Duck delivers industry‑leading SAST, SCA, and DAST solutions that help teams identify and remediate vulnerabilities across proprietary code, open‑source components, and application behavior. With powerful tools, services, and deep expertise, Black Duck enables organizations to secure the modern software supply chain and strengthen DevSecOps practices. 

Role Summary 

The Senior Enterprise Account Executive (Hunter) is responsible for acquiring new enterprise customers, penetrating greenfield accounts, and driving net‑new revenue for Black Duck’s Application Security platform, with a primary focus on Software Composition Analysis (SCA) and open‑source risk management. 

This role is built for a high‑energy, high‑impact seller who excels at prospecting, competitive displacement, and closing complex enterprise deals. You will engage senior engineering, security, and DevOps leaders to position Black Duck as the strategic solution for modern software supply chain security. 

Core Responsibilities 

New Logo Acquisition & Revenue Growth:

• Own the full new‑business sales cycle—from prospecting and qualification to technical evaluation, negotiation, and close. 
• Build and execute territory plans targeting high‑value enterprise prospects across industries. 
• Identify and develop greenfield opportunities through outbound prospecting, partner collaboration, and market intelligence. 
• Drive competitive takeouts and position Black Duck as the preferred SCA and AppSec platform. 
• Consistently achieve new‑logo ARR targets and pipeline creation goals. 

Executive Engagement & Value Selling:

• Build multi‑threaded relationships with CISOs, CTOs, AppSec leaders, DevOps executives, and procurement stakeholders. 
• Lead executive‑level conversations around open‑source governance, SBOM strategy, and secure SDLC modernization. 
• Deliver compelling business cases that quantify risk reduction, compliance alignment, and developer productivity gains. 

Sales Execution & Deal Leadership:

• Run disciplined, high‑velocity sales cycles with strong qualification, forecasting accuracy, and CRM hygiene. 
• Partner with Sales Engineering to guide prospects through technical validation, PoCs, and integration discussions. 
• Navigate complex procurement processes, legal reviews, and multi‑stakeholder decision cycles. 
• Collaborate with Marketing and SDR teams to accelerate pipeline generation and campaign execution. 

Market Expansion & Thought Leadership:

• Represent Black Duck at industry events, conferences, and customer briefings. 
• Provide market feedback to Product and Marketing to influence roadmap and positioning. 
• Stay current on AppSec trends, regulatory pressures, and emerging software supply chain risks. 

Qualifications 

Required

• 7–10+ years of enterprise new‑business sales experience in cybersecurity, DevSecOps, developer tooling, or related technical domains. 
• Proven track record of hunting and closing large, complex enterprise deals with multi‑million‑dollar ARR impact. 
• Strong understanding of Application Security, SCA, SBOM, and modern software supply chain challenges. 
• Ability to engage both technical and executive audiences with credibility and confidence. 
• Exceptional prospecting, negotiation, and strategic selling skills. 

Preferred 

• Experience selling SCA or AppSec platforms (e.g., Black Duck‑style solutions, Snyk, Veracode, Checkmarx, GitHub Advanced Security). 
• Familiarity with CI/CD ecosystems (GitHub, GitLab, Jenkins, Azure DevOps, Bitbucket). 
• Background selling into Fortune 500 or global enterprise organizations. 

Success Indicators 

• Consistent attainment of new‑logo ARR and pipeline generation targets. 
• Strong competitive win rates and successful displacement of incumbent solutions. 
• Rapid expansion of Black Duck’s footprint within target industries and territories. 
• High‑quality forecasting and disciplined sales execution. 

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes
• Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value.
• Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements
• Participate and prepare for Monthly and Quarterly Business Reviews with customers
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products
• Continuously evolve best practice to technical product adoption and customer success

Who You Are:

• Someone with a solid technical grounding and hands-on experience of IT Operations
• Confident in your hands on experience AWS, Azure or GCP
• Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc.
• Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc.
• Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc.
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time
• Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space
• Experienced using Datadog and/or other cloud monitoring tools

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Dataiku is looking for a Data Engineer to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA team, you will play a central role in delivering data to fuel analytics and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the data platform that fuels centralized analytics, embedded analytics teams, Generative AI engineering, and self-service users across the organization.

This role is about 50% Data Operations, Support & Troubleshooting, and 50% new development. The data engineering day-to-day will primarily be within the data platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts & Data Consumers! Your responsibilities within the team include but are not limited to:

• Develop engineering expertise within the Dataiku Platform to help maintain and develop system integrations, platform automations, and platform configurations.

• Develop engineering expertise  within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL data replication & data pipelines on large & often complex data sets 

• Build & maintain data quality metrics & observability to help drive data quality standards

• Learn about existing systems and  processes across Data Platforms, Data Engineering and Data Governance

• Troubleshoot data pipelines, platform automations, data access system.

• Help field and troubleshoot various community questions and challenges

• Own, maintain and enhance data operation processes, monitoring & data quality systems

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with bringing ideas for platform and process improvements 

• Help contribute to the ongoing documentation of internal systems and processes

Requirements: 

• 2+ years of relevant experience in Data Engineering / Data Platform Engineering

• Strong technical skills in SQL & Python are a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake a plus

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Experience in building data models

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas, and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high-trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior-level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform. Ability to create clear and concise documentations with a high degree of precision

Dataiku is looking for a Data Engineer II to join our Enterprise Data and Analytics (EDA) team. As a member of the EDA Team, you will play a central role in delivering data to fuel analytics, AI, and data-driven insights to various stakeholders and teams within the company. You will also be a key technical member contributing to the Data Platform that fuels centralized analytics, Generative AI engineering, embedded analytics teams, and self-service users across the organization.

You will become a technical expert on the various platforms we work in and help drive engineering excellence both within the EDA team and across the wider Analytics Community. The Data Engineering day to day will primarily be within the Data Platform built using Snowflake, Dataiku, and GitHub. Primary development will focus on Python & SQL, DataOps processes built within GitHub Actions & Dataiku, and data platform processes built within Snowflake & Dataiku.

Non-technical skills and learning are also critical, as you will collaborate with engineers from various teams and help deliver solutions across a wide variety of technical domains. Strong software development lifecycle knowledge and DataOps skills are a must. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work, and thrives when collaborating towards a shared goal.

This is an internal and non-client-facing role.

What you’ll do: 

Dataiku is unique in that every Dataiker is encouraged to use our own product within our Enterprise Data Platform.  That means this is a unique opportunity to deliver a scalable platform with governed data to fuel an entire company of current or potential Data Analysts! Your responsibilities within the team include but are not limited to:

• Be an expert level engineer within the Dataiku Platform including Platform Automation, GenAI Capabilities, Plugin Development, maintenance & troubleshooting

• Be an expert  level engineer within Snowflake for data engineering and security/governance features

• Build & maintain python & SQL based platform automation process

• Build & maintain data quality metrics & observability to help drive data quality standards

• Design data models for both short term and long term use cases to support data warehouse scalability

• Build & maintain administration systems and applications for monitoring, alerting, data observability, access management, platform metrics, and end user transparency

• Build & maintain GenAI Platform platform solutions focused on security and governance for engineering delivery

• Build & maintain DataOps process for SDLC delivery

• Identify opportunities for improvements & optimization for greater scalability & delivery velocity

• Collaborate closely with Analytics Engineers to provide data & data models for analytical deliverables

• Perform root cause analysis on often complex errors to help ensure data pipeline availability

• Help drive technical & architectural decisions on the data platform including decisions on data architecture, data engineering processes, data quality frameworks, data access security & governance frameworks, DataOps processes & data consumption models.

• Help test new features in Dataiku and partner tools to both provide feedback internally as well as determine value towards internal analytics & data platform integration

• Work closely with key stakeholders across the organization including Infra, embedded analytics teams, Product and Engineering to help foster both technical implementations & requirements gathering

• Proactively drive innovation internally with dedicated innovation time & projects that aim to be transformational for either the platform, team or company as a whole.

• Actively contribute to the expertise level and competencies of the EDA Team and participate in the creation and support of data development standards and best practices. 

Requirements : 

• 3+ years of relevant experience in Data Engineering / Data Platform Engineering

• Expertise in SQL & Python is a must. Experience in Dataiku DSS is a big plus. 

• Prior experience with Snowflake strongly desired

• Prior experience with DevOps technologies such as Github Actions, Azure DevOps or Jenkins

• Strong understanding of data architecture & data modeling concepts

• Prior experience building and maintaining replication & data pipelines in a cloud data warehouse or data lake environment

• Excellent analytical and creative problem-solving skills - exhibit confidence to ask questions to bring clarity, share ideas and challenge the norm.

• Passion for continuous learning and teaching to help learn & teach new technologies & implementation strategies

• Experience working with complex stakeholders; dissecting vague asks and helping to define tangible requirements

• Ability to manage multiple projects and time constraints simultaneously in a high trust remote environment

• Ability to wear multiple hats depending on the project with the focus on accomplishing end goals while inspiring colleagues to do the same

• Excellent written and verbal communication skills (especially with senior level stakeholders) with the ability to speak to both the business value, data products, & technical capabilities of a platform.  Ability to create clear and concise documentations with a high degree of precision

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-REMOTE #LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-REMOTE #LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-REMOTE #LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-REMOTE #LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-REMOTE #LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-REMOTE #LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices, including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

#LI-AM1

Location: Remote with expected travel into Paddington 2 days per week.

How You'll Make an Impact:

As a Machine Learning Ops Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.

You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.

Our Machine Learning Team:

Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms. 

We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency. 

People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.

What You Bring to the Team:

1. Develop and implement end-to-end machine learning features that enable customers to optimize their revenue strategies, with a strong emphasis on production readiness and system reliability.
2. Establish and maintain robust MLOps practices, including CI/CD for model training, testing, deployment, and monitoring.
3. Design, build, and maintain highly reliable and well-tested data and ML pipelines to extract, transform, and structure large datasets for ML applications.
4. Expertise in using Apache Airflow (or similar orchestration tools like Prefect/Dagster) to define, schedule, and monitor complex data and ML workflows (DAGs).
5. Implement comprehensive software quality and testing processes for ML systems, including unit, integration, and end-to-end testing for both code and data/model performance.
6. Design, train, and rigorously test machine learning models where needed to improve pricing optimization, focusing on statistical validation and production stability.
7. Implement model performance monitoring (e.g., drift detection, data quality checks) to ensure deployed models maintain accuracy and relevance over time.
8. Collaborate cross-functionally with product, engineering, and data science teams to define SLIs/SLOs for ML services and improve system performance, stability, and usability.
9. Conduct structured A/B testing and experimentation to validate model effectiveness and continuously improve performance, documenting results and sharing technical insights.

What Sets You Up for Success:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
2. 3+ years of experience in a data engineering or machine learning role, with demonstrated success in MLOps and deploying models to production.
3. Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
4. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms.
5. Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews).
6. Expert-level SQL skills and experience working with large datasets for analysis and modeling.
7. Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
8. Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.

Bonus Skills to Stand Out (Optional):

1. Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
2. Experience with data quality monitoring tools and frameworks.
3. Master’s or PhD in Computer Science, Data Science, or a related field. Relevant certifications (AWS, MLFlow, or other data science/ML certifications).

The Role

Bottomline is looking for a Site Reliability Engineer with SecOps experience to grow with us in a Hybrid work environment out of our Theale, Reading UK office!

Candidates for this position must be authorized to work in the United Kingdom on a full-time basis for any employer without restriction.

Visa sponsorship will not be provided for this position.

The Site Reliability Engineer will work on many SecOps related tasks however this will not be their only focus!

We are looking for someone who is hands on and naturally steps into leadership — someone who learns fast, dives into complex topics, and takes ownership of the roadmap and outcomes across security and reliability.

You will harden our platforms and software supply chain, codify infrastructure, uplift observability, and improve 24×7 availability through automation. The role partners closely with application, platform, and security teams across regions and includes mentoring other engineers and leading cross-team initiatives to completion.

How you’ll contribute:

Strategy & Cross Team Ownership

• Shape and execute the SRE roadmap; author design docs; run design reviews; align stakeholders and timelines.
• Mentor engineers; drive knowledge sharing, transparent status/reporting, and continuous improvement. SecOps (including Vulnerability Management)
• Own the vulnerability lifecycle end to end: discovery, triage, risk-based prioritization, remediation, verification, and reporting.
• Operate and improve scanning across servers, containers, and images; maintain accurate in scope asset inventories.
• Plan/execute patch cycles for Linux and Windows; validate changes in lower environments; maintain rollbacks and change controls.
• Embed security in CI/CD (SAST/DAST, dependency scanning, SBOM + signing, policy checks); enforce minimum baseline policies for container images.
• Own certificates, keys, and secrets lifecycle with automated rotation and renewal.
• Partner with Security/GRC on policies, audits, evidence; document exceptions and time-bound risk acceptances.

SRE & Reliability

• Define SLOs/SLIs and manage error budgets; lead incident response and post incident improvements; coach on-call practice.
• Build and operate observability (metrics/logs/traces) using OTEL and Grafana; automate runbooks to reduce MTTR.
• Engineer resilient CI/CD (GitLab, Jenkins): progressive delivery, safe rollbacks, change validation, and release quality gates. Automation & Platform Engineering
• Design and maintain Terraform modules and configuration management (Puppet/Ansible); standardize platform baselines (OS, Kubernetes, middleware) and enforce policy-as-code.
• Consolidate and rationalize technical stacks to improve operational readiness and risk profiles. Stakeholders & Ways of Working
• Work with SRE engineers, and other Operation teams to schedule and deliver safe changes; partner with CISO; engage application teams for zero downtime or low risk deployments.
• Sharing ideas with the team and management to improve security and reliability
• Proposing new security tools, automation and processes
• Embracing new technologies and building business cases for their adoption

What will make you successful: 

• Fluent in English
• Systems: Strong Linux (RHEL/CentOS) and/or Windows Server administration in production environments.
• Vulnerability & Patch: Hands-on with scanners (e.g., Qualys/Defender VM) and patch orchestration; strong change control and rollback strategies.
• IaC & Config: Terraform; Ansible/Puppet (idempotent patterns); OS native patching (yum).
• CI/CD & Git: Working knowledge to embed scanning and compliance checks in pipelines (GitLab/Jenkins).
• Containers/K8s: Familiarity with Docker/Kubernetes and image scanning policies.
• Observability & SRE: Practical OTEL instrumentation and Grafana dashboards; SRE principles for availability and MTTR reduction.
• Security: Certificates, encryption standards, secure configuration baselines; secrets management.
• Scripting: Proficiency in Bash/PowerShell; working knowledge of Python or Go. Soft skills • Strong security and customer-service mindset
• Rigorous, methodical and risk-aware
• Recognized technical leadership and ownership
• Ability to remain calm and decisive under pressure
• Autonomous but able to work effectively within teams
• Excellent communication and stakeholder management skills

What We Offer: 

• Competitive salary and benefits package. 

• Opportunities for professional growth and advancement. 

• A collaborative and innovative work environment. 

• Flexible working arrangements. 

#LifeAtBottomline

#LI-DNI

Why Verifone

For more than 40 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic and fast paced work environment in which employees are focused on results and have opportunities to excel. We take pride in the fact that we work with leading retailers, merchants, banks, and third party partners to invent and deliver innovative payments solution around the world. We strive for excellence in our products and services, and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located.

What's Exciting About The Role

We are seeking an experienced Senior Network Engineer to support the migration of critical applications from our Cisco-based on-premises data center infrastructure to Amazon Web Services (AWS). This is a high-impact role offering the opportunity to design, implement, and optimize cloud networking solutions while ensuring seamless transition and minimal downtime.

Key Responsibilities:

• Support planning, design, and execution of network infrastructure migration from on-premises Cisco-based systems to AWS cloud environment
• Map existing Cisco network configurations to AWS networking services (VPC, Transit Gateway, Direct Connect, NACLs, etc.)
• Develop and document comprehensive network architecture designs for AWS, including VPC configuration, routing, security groups, and network segmentation
• Configure and optimize AWS networking components including subnets, route tables, load balancers, and network interfaces
• Design and implement network security best practices including encryption, firewalls, DDoS protection, and compliance requirements
• Develop and execute comprehensive testing strategies to validate network performance, redundancy, and failover capabilities
• Identify and resolve network issues, optimize performance, and ensure reliability post-migration
• Create detailed technical documentation, runbooks, and operational procedures for the new AWS network Infrastructure
• Work closely with cloud architects, application teams, security, and infrastructure teams to align migration strategy

Skills and Experience We're Looking For

• MS in Computer Science or equivalent is preferred.
• Juniper, Cisco Professional or Expert certifications.
• 8-10+ years of network experience in configuring, managing and troubleshooting of Cisco
• Strong understanding of TCP/IP, DNS, DHCP, VPN, and network security protocols
• Strong BGP / OSPF protocols understanding, configuration and troubleshooting skills.
• Strong understanding of IPsec and SSL VPNs
• Experience with Cisco ASA firewalls and Cisco Nexus switches
• Experience with common network automation tools: Python, Perl or other scripting languages and tools i.e Ansible, Terraform, Jenkins
• Experience with AWS network and migrations from on-prem to AWS

Our Commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Optiver is looking for a Software Engineer to join our Developer Experience team. This team is crucial in building the tools and platforms that power our development workflows, enabling our engineers to work fast and with confidence. You’ll be responsible for building the infrastructure, tooling and automation that power the entire software development lifecycle, from local development to production deployment; the improvements you make to our developer environment will improve the daily workflow of hundreds of developers across multiple regions.

We’re looking for a strong engineer with a passion for improving developer experience, an awareness of modern tooling and workflows, with a track record of identifying and implementing high-impact productivity improvements. You’ll join a growing global team on a mission to improve every part of the developer experience at Optiver.

What you’ll do:

• Design, build and maintain scalable build systems used across the company, including core build libraries, common CI/CD pipelines and Docker images
• Develop tools and integrations that make the local develop-build-test iteration loop faster and more seamless - including IDE extensions, CLI tools and container-based workflows
• Automate processes to streamline the release and deployment lifecycle, enabling rapid, continuous deployment ​​
• Track emerging trends in Developer Experience and AI, exploring and supporting the integration adoption of AI assisted tools and coding agents ​into daily development workflows​
• Help us define meaningful metrics to measure and better quantify developer productivity​
• Partner with development teams to identify friction in their workflows and design solutions that simplify their set up, improve iteration speed and enhance productivity

See the team lead's opinion on why DevEx matters here.

Who you are:

• Beneficial to have familiarity designing and optimising containerised build workflows using tools such as Docker, Bazel, CMake, Ninja, Poetry etc
• Skilled in building CI workflows on platforms like GitHub Actions or Jenkins that provide fast, reliable feedback and automate repetitive tasks
• Strong coding fundamentals and experience across both scripting and compiled languages, with a focus on writing scalable, high-quality software
• Have strong engineering instincts and a deep understanding of the end-to-end lifecycle of software development from ideation to deployment
• Passionate about improving the developer experience; with a proven track record of initiating and successfully driving developer productivity improvements at scale through impactful tooling and automation 
• Curious, collaborative and eager to work in a high-performing environment that values continuous improvement
• Comfortable working autonomously and collaboratively, with a practical approach to solving real-world challenges ​

Who we are:

At Optiver, our mission is to constantly improve the market by injecting liquidity, providing accurate pricing, increasing transparency and acting as a stabilizing force no matter the market conditions. With a focus on continuous improvement, we participate in the safeguarding of healthy and efficient markets for everyone who participates. As one of the largest market making institutions, we are a trusted partner of 70+ exchanges across the globe.

You’ll join a culture of collaboration and excellence, where you’ll be surrounded by curious thinkers and creative problem solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the toughest problems in the financial markets.
In addition, you’ll receive:

• A competitive remuneration package, including a performance-based bonus structure.
• 27 paid vacation days plus all UK public holidays.
• Daily breakfast and lunch, along with support on commuting expenses.
• Private medical insurance, pension scheme, and ClassPass fitness membership.
• Training and continuous learning opportunities, including access to conferences and tech events.
• International transfer opportunities for global career growth.

How to apply:

Apply directly via the form below. If you have any questions feel free to contact our Recruitment team via our recruitment inquiry form. Please note, we cannot accept applications via email for data protection reasons. Kindly note that we do not require assistance from third-parties including agencies in the recruitment of this role.

Diversity statement:

Optiver is committed to diversity and inclusion.

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.

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

Our Code and Theory quality engineering team ensures the quality of our first-class web experiences and custom products that delight our clients and their customers. Working in collaboration with our engineering, design, and product teams, you will break and test software that solves real-world problems.

Our QA Engineers are proficient, collaborative, and dedicated executors who follow our established testing practices to refine our code. They work closely with senior leadership to enhance customer experiences and support consistent business growth.

You are a passionate advocate for software quality, its role in our society, and its value to our clients. You deeply understand nuances of how to achieve experiences which are high performance, highly secure and compliant, and usable and accessible to diverse audiences. You possess outstanding quality assurance skills and a solid understanding of contemporary tools and methodologies.

WHAT YOU’LL DO

• Execute hands-on testing of responsive web/mobile applications and the underlying infrastructure
• Identify opportunities for cleaner code and process refinements, raising them proactively within your squad
• Collaborate with product teams to support and implement testing strategies with a strong shift-left mindset
• Provide accurate estimates for testing efforts and timelines while remaining adaptable to requirement changes
• Communicate test progress clearly and proactively to ensure the team can make data-driven decisions
• Participate in requirements gathering, test execution, and regression testing across functional systems
• Support release cycles by contributing to scope planning, effort estimation, and the sign-off process
• Engage with the Quality Practice Community to facilitate collaborative learning, innovation, and knowledge sharing

WHAT YOU’LL NEED

• 3+ years of experience as a proactive contributor who is comfortable working both independently and as part of a team
• An open mindset toward mentorship and a strong desire to pursue professional learning and development opportunities
• Proficiency in designing stable, deterministic tests that minimize flakiness across the web and mobile stack
• Hands-on experience using and maintaining automation frameworks and supporting test libraries
• Experience integrating test suites into CI/CD pipelines such as GitHub Actions, Jenkins, or similar tools
• Practical experience with API testing (Postman) and exposure to load testing tools like JMeter or Blazemeter
• Ability to identify application performance issues and assist in optimizing code for better memory usage
• Proficiency in reading and troubleshooting HTML, CSS, JavaScript/TypeScript, and backend languages like PHP or Java
• Solid understanding of WCAG 2.1 AA+ accessibility standards and modern security guidelines
• Competency using JIRA and Confluence for consistent defect logging, test planning, and reporting
• A positive, solutions-oriented attitude with a commitment to achieving excellence through teamwork

ABOUT US

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.

Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.

We are seeking a QA Tester to join our development team and own testing for both web and desktop applications. You’ll design and execute test plans, identify and report bugs, collaborate with developers and product managers, and help improve QA processes and automation.

Key Responsibilities

• Create, maintain, and execute test plans, test cases, and test suites for web and desktop apps.  
• Perform functional, regression, integration, UI, smoke, and exploratory testing.  
• Triage, document, and track defects in the issue tracker; verify fixes and perform re-testing.  
• Work with developers and product managers to clarify requirements and acceptance criteria.  
• Contribute to and maintain automated test scripts (UI/API) and test frameworks.  
• Participate in sprint planning, stand-ups, and retrospectives; provide input on quality and risk.  
• Help define and improve QA processes, test coverage, and release readiness criteria.  
• Produce clear test reports and metrics to inform release decisions.

Essential skills and experience 

• 2–5 years of hands-on QA experience testing web and desktop applications.  
• Strong understanding of SDLC, QA methodologies, and testing best practices.  
• Experience with manual testing and writing clear, reproducible bug reports.  
• Practical experience with at least one test automation tool or framework (e.g., Selenium, Playwright, Cypress, TestComplete, Robot Framework).  
• Familiarity with API testing tools (e.g., Postman, REST-assured).  
• Experience using issue trackers and CI/CD pipelines (e.g., Jira, GitHub/GitLab, Jenkins, CircleCI).  
• Basic scripting ability (e.g., JavaScript, Python, or similar) to write/maintain automated tests.  
• Strong analytical, problem-solving, and communication skills.

The Role:

As a Senior Solutions Architect specializing in containerized solutions, you will play a crucial, pioneering role in this new initiative. Your primary focus will be leading the deployment of these solutions within our customer environments.

Solutions Architects are vital members of our project teams, often serving as the initial technical point of contact for our customers and key technical stakeholders for a successful deployment of Celonis. To ensure our customers achieve value, you will drive the technical setup required to leverage the full range of Celonis features and functionalities, including process mining, execution management, process automation, Action Flow, and task mining.

Given the unique nature of every customer environment, you will be the key liaison for translating the customer's technical requirements to ensure successful deployment on the clients infrastructure and successful integrations with their source systems. Furthermore, you will lead discussions on user management and authentication, acting as a technical partner to remove any technical barriers to user adoption.

The work you’ll do:

• On Celonis side you are the key technical stakeholder for a successful technical delivery and onboarding of Celonis for enterprise clients.
• Lead technical discussions to analyze customer architecture, recommend optimal solutions, and facilitate deployment, managing expectations amidst technical constraints.
• Remove technical obstacles to maximize Celonis user adoption, clarifying technical risks and necessary tradeoffs.
• Promote reusability by choosing between dedicated customer solutions and broader platform enhancements in collaboration with Celonis product development.
• Establish real-time data integrations between customer systems and Celonis via APIs and internal tools.
• Guide customers on authentication, user/group management, and provisioning best practices. Thus, removing all technical barriers to drive user adoption of Celonis.

The qualifications you need:

• Proven experience of 3+ years deploying and managing containerized applications on Kubernetes.  Advanced knowledge with at least one specific Kubernetes distribution (Amazon EKS, Azure AKS, RedHat OpenShift, etc.).
• Eligibility for UK Security Check (SC) clearance is required; existing clearance is a strong advantage.
• Very good understanding of best practices in deploying, scaling, and maintaining highly available, secure and resilient containerized applications on Kubernetes, ensuring efficient resource utilization and operational stability. 
• Proven experience implementing infrastructure as code (IaC, e.g. with Terraform) is required; Helm or Kustomize experience is strongly preferred. Fluency with additional tools such as ArgoCD, Jenkins, GitHub Actions, Ansible, etc., is a plus.
• Experience with at least one of the major cloud platforms (AWS, Azure, GCP) would be a plus.
• Experience & interest in working with modern tech stack & methods like REST/SOAP API-Management, Data Ingestion & Streaming (Kafka or similar), SSO, LDAP, IT Security, Agile, etc.
• Experience in industry with experience to work on Python, SQL, data pipelines & ETL processes for large volumes of data is a plus.
• Knowledgeable about security and compliance topics for enterprise applications.Solid experience with project management, outstanding customer-centric & proven experience working with customers.
• A solution-oriented professional that enjoys deep technical discussions as much as transferring your technical knowledge into understandable terms to a broader audience

We are looking for a skilled Technical Lead Manager to join one of our dynamic technical teams, such as Passenger, Billing, etc. 

Responsibilities

• Managing the team of ~10 developers on a day-to-day basis: participating in planning, project management, delivery, career development for DRs, hiring
• Architect M- and L- sized features
• Work closely with cross-functional teams (designers, testers, product managers) to gather requirements and discuss project goals
• Participate in the analysis, design and evaluation of technical requirements together with the team
• Write clean, scalable, and efficient code mainly in Go language
• Review and give feedback on code written by peers to ensure consistency, readability, and efficiency
• Write and maintain technical documentation, including software design documents and user guides

Requirements

• 5+ years of experience developing scalable and reliable backend services
• Proficiency with Go/Ruby/Python/C++/Java/Kotlin languages
• In-depth knowledge of common databases and messaging systems like PostgreSQL/MongoDB/Redis/Kafka/RabbitMQ, etc.
• Upper-Intermediate or higher English proficiency

Our current stack: Go microservices, shrinking Ruby monolith, Node.js, MongoDB, PostgreSQL, RabbitMQ, Thrift, Redis, AWS, Terraform, K8s, Jenkins.

What we Offer

• Office-based role in West London, four days a week with flexible start and finish times, plus one remote day of your choice
• Salary: £130,000 – £160,000
• Employee stock options plan
• Private medical and dental insurance
• Life and critical illness cover
• Latest-generation MacBook Pro and 4k display
• Monthly credit towards Wheely journeys
• Cycle to Work scheme
• Professional development stipend
• Relocation support, including visa sponsorship and allowance

A Senior Technical Project Manager with a technical background required to join our eCommerce Team on a contract basis.

A Senior Technical Project Manager, with a technical background, who coordinates teams and releases across client environments. You encourage strong relationships with your team and have the ability to talk, at a technical level, with developers, testers and technical architects. You have an understanding of practices in development standards, including code reviews branching strategies, development principals and CI/CD.

Please bear in mind that working hours for this role need to align with USA: 11am to 7pm BST

Please note that this job is a contractual position located in London.

Please send us your CV in English.

What you’ll be doing:

• Build relationships with VML technical specialists
• Coordinate 3rd party product vendors, environments & client technical resources
• Oversee delivery of new infrastructure environments
• Working knowledge of Agile frameworks, in particular Scrum and Kanban
• Ability to inspire and lead technical teams and work with teams to achieve individual and team objectives
• Run effective sprint ceremonies, including stand-ups, sprint planning and estimation sessions, showcases and sprint retrospectives (using WISDOM Methodology)
• Support the efficient flow of work by helping the teams remove obstacles and make improvements
• High-level understanding of the software development life cycle and release management
• Involvement in release planning and execution
• Build customer confidence by understanding their needs & delivering first class solutions
• Set and managing client expectations.
• Issues and Risks identification, mitigation and resolution
• Identify technical debt and technical enhancements that would benefit the project in the long term
• Provide status reporting regarding project milestones, deliverable, dependencies, risks and issues, communicating to various audiences including key stakeholders and sponsors.
• Release and technical reporting regarding project/account technical deliverables, architecture and pipeline improvements       

What we want from you:

• Project Management experience, with ecommerce experience ideally within a retail environment.
• Technical understanding that enables log analysis and to identify potential issues
• Some previous experience of eCommerce frameworks and hosting solutions
• Understanding of cloud/on prem. Infrastructure
• Defining, managing and delivering to customer expectations within strict deadlines
• Full knowledge of the project lifecycle and experience of various project development methodologies (including Agile, Incremental and Waterfall)
• Comfortable with technical environments and legacy systems integration
• Some experience of code management tools such as git, bit bucket, svn
• Interested in the implementation of Jenkins, git or other release pipeline tools
• Ability to manage multiple 3rd parties
• Time management & organisational skills
• Negotiation skills and an ability to handle sensitive issues
• Relevant Project Management qualifications
• Proficient with Microsoft Office Packages, especially MS Excel and MS PowerPoint
• Excellent verbal and written communication skills in English

If you have this, even better:

• Experience of working with the Magento eCommerce platform
• A developer background or programming qualification is advantageous but not essential
• Knowledge of Azure and AWS DevOps Tooling
• Minimum BA/BS degree with a major in information management, marketing, communications, business or other closely-related areas is an advantage

What we can offer you:

Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.

Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.

We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.

AT VML Enterprise Solutions

Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.

We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.

As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.

#LI-EMEA #LI-HYBRID

Who We Are

Hangar 13 is an internal 2K development studio that crafts unforgettable AAA gaming experiences across all major platforms . With studios in Brighton (UK), Brno, and Prague (CZ), we work as one team to bring to life narrative-rich games that keep players immersed. Each of our locations provides the opportunity to work with some of the most talented developers in the industry, on creatively challenging and exciting projects, in a diverse and welcoming environment.

Job Summary 

We are seeking a highly skilled Lead Technical Artist to lead the design and development of scalable content pipelines and production tools for our projects. In this role, you will define workflows, create tools to streamline production, and act as the bridge between artists, engineers, and design teams.

Your leadership will ensure that art teams can produce high-quality, performant assets efficiently, while maintaining flexibility for rapid iteration. You’ll guide a team of technical artists, support cross-discipline collaboration, and set the standards for how content is created, managed, and deployed across multiple projects.

In addition to leading internal team members, you will also oversee and collaborate with external co-development partners, ensuring their work aligns with our creative vision, technical standards, and production goals. 

Please note we do require someone to be onsite at one of our Studios at least 3 days a week. 

Duties and Responsibilities  

• Architect and maintain scalable pipelines for all content disciplines — including environments, characters, animation, vehicles, materials, VFX, and cinematics.
• Design and implement custom tools, scripts, and workflows to increase efficiency, reduce errors, and standardize asset integration.
• Partner with engineering to extend UE5’s editor functionality and improve asset processing.
• Work with content creators to ensure pipelines are user-friendly, scalable, and optimized for production needs.
• Establish best practices for asset versioning, content validation, and automated build processes.
• Lead, mentor, and inspire your team, setting quality and productivity benchmarks. Conduct regular reviews, provide feedback, and support professional growth within the team.
• Coordinate with production to manage priorities, schedules, and resourcing for development.
• Collaborate & support outsourcing partners by defining pipeline requirements and ensuring seamless integration of external content.

Essential Skills, Attributes and Experience

• Extensive  experience in the games industry, with at least 2 shipped AAA titles.
• Proven track record as a Senior or Lead Technical Artist with pipeline and tools focus.
• Expert knowledge of Unreal Engine 5’s editor, content pipeline, Blueprints, and asset workflows.
• Proficiency in scripting/programming languages (Python, C++, C# or similar), with a focus on framework design & implementation.
• Strong understanding of version control (Perforce) and build/automation systems (Jenkins, Unreal Build Tools, CI/CD pipelines).
• Excellent problem-solving, communication, and leadership skills

Highly Desirable 

• Experience with automated content validation and performance profiling tools.
• Familiarity with large-scale open-world production pipelines in UE5 (World Partition, data layers, HLODs).
• Experience integrating procedural workflows (Houdini, Substance Designer) into pipelines.
• Knowledge of shader/material pipeline integration and optimization.
• Background in outsourcing/vendor management and pipeline support across distributed teams.

Hangar 13  prides itself on the diversity of its team members, partners, and communities.  For this reason, we remain committed to providing equal employment opportunity in all aspects of the employment relationship, from recruitment and hiring through compensation, benefits, discipline and termination.  

As an equal opportunity employer, we are also committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation(s) to participate in the job application and/or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment.  Please contact us if you need to request reasonable accommodation.

SECURITY NOTICE -  We have recently been made aware of increasing occurrences of bad actors posing as company HR personnel to gain information from "potential candidates", in the form of job interviews and offers. These scams can be quite sophisticated and appear legitimate.

Please know that Hangar 13 and 2K never use instant messaging apps to contact prospective employees or to conduct interviews.

If you believe you have been a victim of such a scam, you may fill out a complaint form at https://complaint.ic3.gov/ and https://reportfraud.ftc.gov/ detailing as much as possible. We are taking these matters very seriously and apologize for any inconvenience.

#LI-Hybrid

##LI-MW1

Who We Are

Hangar 13 is an internal 2K development studio that crafts unforgettable AAA gaming experiences across all major platforms . With studios in Brighton (UK), Brno, and Prague (CZ), we work as one team to bring to life narrative-rich games that keep players immersed. Each of our locations provides the opportunity to work with some of the most talented developers in the industry, on creatively challenging and exciting projects, in a diverse and welcoming environment.

Job Summary 

We are seeking a highly skilled Lead Technical Artist to lead the design and development of scalable content pipelines and production tools for our projects. In this role, you will define workflows, create tools to streamline production, and act as the bridge between artists, engineers, and design teams.

Your leadership will ensure that art teams can produce high-quality, performant assets efficiently, while maintaining flexibility for rapid iteration. You’ll guide a team of technical artists, support cross-discipline collaboration, and set the standards for how content is created, managed, and deployed across multiple projects.

In addition to leading internal team members, you will also oversee and collaborate with external co-development partners, ensuring their work aligns with our creative vision, technical standards, and production goals. 

Please note we do require someone to be onsite at one of our Studios at least 3 days a week. 

Duties and Responsibilities  

• Architect and maintain scalable pipelines for all content disciplines — including environments, characters, animation, vehicles, materials, VFX, and cinematics.
• Design and implement custom tools, scripts, and workflows to increase efficiency, reduce errors, and standardize asset integration.
• Partner with engineering to extend UE5’s editor functionality and improve asset processing.
• Work with content creators to ensure pipelines are user-friendly, scalable, and optimized for production needs.
• Establish best practices for asset versioning, content validation, and automated build processes.
• Lead, mentor, and inspire your team, setting quality and productivity benchmarks. Conduct regular reviews, provide feedback, and support professional growth within the team.
• Coordinate with production to manage priorities, schedules, and resourcing for development.
• Collaborate & support outsourcing partners by defining pipeline requirements and ensuring seamless integration of external content.

Essential Skills, Attributes and Experience

• Extensive  experience in the games industry, with at least 2 shipped AAA titles.
• Proven track record as a Senior or Lead Technical Artist with pipeline and tools focus.
• Expert knowledge of Unreal Engine 5’s editor, content pipeline, Blueprints, and asset workflows.
• Proficiency in scripting/programming languages (Python, C++, C# or similar), with a focus on framework design & implementation.
• Strong understanding of version control (Perforce) and build/automation systems (Jenkins, Unreal Build Tools, CI/CD pipelines).
• Excellent problem-solving, communication, and leadership skills

Highly Desirable 

• Experience with automated content validation and performance profiling tools.
• Familiarity with large-scale open-world production pipelines in UE5 (World Partition, data layers, HLODs).
• Experience integrating procedural workflows (Houdini, Substance Designer) into pipelines.
• Knowledge of shader/material pipeline integration and optimization.
• Background in outsourcing/vendor management and pipeline support across distributed teams.

Hangar 13  prides itself on the diversity of its team members, partners, and communities.  For this reason, we remain committed to providing equal employment opportunity in all aspects of the employment relationship, from recruitment and hiring through compensation, benefits, discipline and termination.  

As an equal opportunity employer, we are also committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation(s) to participate in the job application and/or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment.  Please contact us if you need to request reasonable accommodation.

SECURITY NOTICE -  We have recently been made aware of increasing occurrences of bad actors posing as company HR personnel to gain information from "potential candidates", in the form of job interviews and offers. These scams can be quite sophisticated and appear legitimate.

Please know that Hangar 13 and 2K never use instant messaging apps to contact prospective employees or to conduct interviews.

If you believe you have been a victim of such a scam, you may fill out a complaint form at https://complaint.ic3.gov/ and https://reportfraud.ftc.gov/ detailing as much as possible. We are taking these matters very seriously and apologize for any inconvenience.

#LI-Hybrid

##LI-MW1

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. 

So, what’s the role all about? 

The DevOps Engineer works as an integrated part of a software engineering team with specific focus on facilitating and building automated pipelines for continuous delivery of the team's deliverables with guaranteed production-level quality and supportability.​ 
 

How will you make an impact?   

• Defining and developing continuous integration and deployment pipelines 

• Building Infrastructure as Code 

• Coordinating build and release activities with other stakeholders 

• Managing day to day operations of release pipelines, build tools, and source control software and resources 

• Troubleshooting & responding to downtime, performance degradation and outside attacks 

• Performing ongoing maintenance and upgrades of DevOps systems (Production & non-production) 

• Identifying, researching, and prototyping new technologies to improve DevOps processes 

Have you got what it takes?  

• Bachelor’s degree in Computer Science, Business Information Systems or related field or equivalent work experience is required.​ 

• 1-3 years of experience as a contributor on a software development team 

• Experience working with distributed source control systems, preferably with GitHub or BitBucket 

• Experience writing scripting languages, such as Python, Perl, Powershell 

• Deep knowledge and understanding in one or more of the following areas: 

-Database Administration (Structured and/or unstructured, Indexing, Performance Tuning, Backup and restore, data lifecycle management, scaling) 

-Layer 2 and Layer 3 Networking Administration (DNS, SSL/TLS, Load Balancing, IPv4 Sub netting, Firewalling, etc.) 

-Voice Over IP administration (Signaling, Encoding/Decoding; Protocols like Media Gateway, RTC, SIP; Security, Border Controllers; QoS, LCR) 

-Operating Systems (Linux/Windows, Virtualization, Containers, Imaging, Orchestration, Storage types & performance, Monitoring, Capacity Planning) 

You will have an advantage if you also have: 

• Experience with Artifactory 

• Experience with Release Pipeline tools such as Concourse, Thoughtworks Go, Octopus, Hive, ElectricFlow, or Xebialabs 

• Call center and telecom experience 

• Familiarity with CI automation tools, such as CircleCI, Jenkins, or Bamboo, TFS Build 

• Familiarity with Docker containers and Docker-based Microservices 

• Familiarity with infrastructure automation tools such as Chef, Puppet, Ansible, or CloudFormation 

• Familiarity with Amazon AWS services 

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! 

About NICE  

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. 

Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. 

NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

Requisition ID: 
Reporting into: Manager, DevOps  
Role Type: Individual Contributor 

So, what’s the role all about?

• Run the production environment by monitoring availability and taking a holistic view of system health
• Build software and systems to manage platform infrastructure and applications
• Improve reliability, quality, and time-to-market of our suite of software solutions
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
• Provide primary operational support and engineering for multiple large distributed software applications

How will you make an impact?

• Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
• Partner with development teams to improve services through rigorous testing and release procedures
• Participate in system design consulting, platform management, and capacity planning
• Create sustainable systems and services through automation and uplifts
• Balance feature development speed and reliability with well-defined service level objectives

Have you got what it takes?

• 3-6 years of working experience in a similar role, with a focus on systems engineering, automation, and reliability.
• Proficiency in at least one programming language (e.g., Python, Go, Java, C#) and experience with scripting languages (e.g., Bash, PowerShell).
• Deep understanding of cloud computing platforms (e.g., AWS), the working and reliability constraints of some of the prominent services (e.g., EC2, ECS, Lambda, DynamoDB etc)
• Experience with infrastructure as code tools such as CloudFormation, Terraform.
• Deep understanding of CI/CD concepts and experience with CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
• Strong knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture.
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack, Cloudwatch).
• Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
• Experience of Incident management and blameless postmortems that includes driving the incident response efforts during outages and other critical incidents, resolution, and communication in a cross-functional team setup.

You will have an advantage if you also have:

• Handson experience of working with large Kubernetes Cluster. Certification will be an added plus.
• Working experience of Grafana Observability Suite (Loki, Mimir, Tempo).
• Administration and/or development experience of standard monitoring and automation tools such as Splunk, Datadog, Pagerduty Rundeck. 
• Familiarity with configuration management tools like Ansible, Puppet, or Chef.
• Certifications such as AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, or equivalent.

Personal attributes:

• Strong communication skills and the ability to collaborate effectively with cross-functional teams.
• Team player - ability to work well in a close team environment.
• Fast learner with ability to educate her/himself on relevant technologies
• Ability to multitask and prioritize work
• Ability to remain focused and calm under pressure

Enjoy NICE-FLEX! 

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 9476.

Reporting into: Director, Network Operations.

Role Type: Individual Contributor.

#LI-Remote

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. 

So, what’s the role all about? 

The DevOps Engineer works as an integrated part of a software engineering team with specific focus on facilitating and building automated pipelines for continuous delivery of the team's deliverables with guaranteed production-level quality and supportability.​ 
 

How will you make an impact?   

• Defining and developing continuous integration and deployment pipelines 

• Building Infrastructure as Code 

• Coordinating build and release activities with other stakeholders 

• Managing day to day operations of release pipelines, build tools, and source control software and resources 

• Troubleshooting & responding to downtime, performance degradation and outside attacks 

• Performing ongoing maintenance and upgrades of DevOps systems (Production & non-production) 

• Identifying, researching, and prototyping new technologies to improve DevOps processes 

Have you got what it takes?  

• Bachelor’s degree in Computer Science, Business Information Systems or related field or equivalent work experience is required.​ 

• 1-3 years of experience as a contributor on a software development team 

• Experience working with distributed source control systems, preferably with GitHub or BitBucket 

• Experience writing scripting languages, such as Python, Perl, Powershell 

• Deep knowledge and understanding in one or more of the following areas: 

-Database Administration (Structured and/or unstructured, Indexing, Performance Tuning, Backup and restore, data lifecycle management, scaling) 

-Layer 2 and Layer 3 Networking Administration (DNS, SSL/TLS, Load Balancing, IPv4 Sub netting, Firewalling, etc.) 

-Voice Over IP administration (Signaling, Encoding/Decoding; Protocols like Media Gateway, RTC, SIP; Security, Border Controllers; QoS, LCR) 

-Operating Systems (Linux/Windows, Virtualization, Containers, Imaging, Orchestration, Storage types & performance, Monitoring, Capacity Planning) 

You will have an advantage if you also have: 

• Experience with Artifactory 

• Experience with Release Pipeline tools such as Concourse, Thoughtworks Go, Octopus, Hive, ElectricFlow, or Xebialabs 

• Call center and telecom experience 

• Familiarity with CI automation tools, such as CircleCI, Jenkins, or Bamboo, TFS Build 

• Familiarity with Docker containers and Docker-based Microservices 

• Familiarity with infrastructure automation tools such as Chef, Puppet, Ansible, or CloudFormation 

• Familiarity with Amazon AWS services 

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! 

Enjoy NICE-FLEX!  

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

About NICE  

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. 

Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. 

NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

Requisition ID: 
Reporting into: Manager, DevOps  
Role Type: Individual Contributor 

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. 

Rockstar is on the lookout for a talented Technical Artist who possess a passion for technology and innovation. 

This is a full-time, permanent and in-office position based out of Rockstar’s unique game development studio in the heart of Leeds, England. 

WHAT WE DO

• The Rockstar Games Technical Art team creates, maintains and enhances tools and workflows for artists across our Art, Animation, and VFX teams.  
• We create and maintain photogrammetry tools and pipelines, and support live scan sessions.  
• We drive innovation and efficiency in our pipelines by continuously researching and developing new technology.  

RESPONSIBILITIES

• Design, develop, and support tools and pipelines in DCC and standalone contexts.  
• Develop automated solutions for data processing.   
• Stay informed on the latest technology and research related to the art of data pipelines and machine learning.  
• Write clear and detailed documentation for tools and workflows. 
• Diagnose and solve technical issues affecting artists.  

REQUIREMENTS

• 5+ years of experience as a Technical Artist, Technical Director, Tools Programmer, or similar.  
• Experience developing tools for DCCs like Houdini, Zbrush, Agisoft, or Metashape. 
• Experience working through a full game production cycle or long-term project. 
• A strong understanding of Photogrammetry workflows and software.  
• Proficiency in Python. 
• Experience with build systems like Jenkins, Airflow, or Celery.   
• An understanding of a 3D asset pipeline and color management.   
• Ability to think creatively and develop innovative solutions to complex problems. 

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• A degree in Computer Science or related discipline.  
• C++ programming skills.  
• Experience working with package management and deployment systems like Rez or PyPi.  
• Experience with ML based photogrammetry workflows like Gaussian Splats or Nerfs.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect.  In line with this commitment, Rockstar will provide accommodations to job applicants with disabilities (or on the basis of any other protected ground under human rights legislation) during the recruitment process, as well as to any Rockstar employees in order for them to perform the essential functions of their roles.  Rockstar will comply with its obligations under the Human Rights Code and the Accessibility for Ontarians with Disabilities Act and will provide accommodations as long as such accommodations do not pose an undue hardship on Rockstar.  If you need more information about Rockstar’s accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.  

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-AS1

P-1534

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. 

As an Engineering Manager, you will work with your team to build mission-critical Lakebase services on the Databricks Platform at scale.

Key responsibilities include:

• Drive continuous delivery within a team of experts in storage technology, distributed systems and Rust.
• Manage the development and rollout of storage services that host millions of customer databases across dozens of regions
• Partner with peer engineering teams across Databricks to co-evolve Lakebase services with our global infrastructure.
• Lead operational excellence in 24/7 operation of our system

The impact you will have:

• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback and develop engineering leaders.
• Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.

What we look for:

• Experience with building and shipping storage systems where correctness and performance are essential
• BS (or higher) in Computer Science, or a related field
• 2+ years of experience building and leading a team of engineers working in a related system
• Experience with build, release and deployment infrastructure technologies such as Spinnaker, Jenkins, Airflow, Docker, Kubernetes, Terraform, Bazel, etc.
• Ability to attract, hire, and coach engineers who meet the Databricks hiring standards - can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members; can gain trust of the team and guide their careers
• Comfort working on cross-functional projects with the ability to deeply understand product and customer personas

About TTC

TTC Global is a leading specialist software testing and quality engineering consultancy, helping organizations transform the way they deliver software. Founded in New Zealand, TTC operates globally across North America, EMEA, and APAC, partnering with Fortune 100 enterprises and major technology platforms to accelerate digital transformation, improve quality, and reduce risk.

We bring broad capabilities across functional, automation, performance, and AI Enhanced Quality Engineering to help our clients deliver quality at speed and scale.

Perks of working for TTC

• Competitive Base Salary
• FT/C2C
• Paid Time Off
• Paid Holidays
• Work Life Balance
• Relaxed Work Environment
• Growth and Development Opportunities

Position Summary

We are seeking a Tricentis Architect / Test Automation Lead to drive automation strategy and implementation across an SAP transformation programme. This role will focus on establishing scalable automation frameworks, improving regression efficiency, and enabling continuous testing capabilities.

Key Responsibilities

• Define and implement test automation strategy across SAP and integrated systems
• Lead design and deployment of automation frameworks using Tricentis Tosca
• Identify opportunities to improve automation coverage and regression efficiency
• Integrate automation into CI/CD pipelines and DevOps workflows
• Collaborate with functional and QA teams to align automation with business processes
• Provide technical leadership and mentorship to automation engineers
• Ensure automation supports end-to-end testing, including integration and UAT cycles
• Evaluate and implement best practices for test data and environment management

Requirements

• Strong experience with Tricentis Tosca (architecture and implementation)
• Proven experience leading test automation strategy in SAP environments
• Experience integrating automation into CI/CD pipelines
• Strong understanding of SAP testing, integration flows, and business processes
• Experience working in large-scale transformation programmes
• Strong technical leadership and stakeholder engagement skills

Technical Skills

• Tricentis Tosca (advanced / architect level)
• Test automation frameworks and design patterns
• CI/CD tools (Azure DevOps, Jenkins, GitLab, etc.)
• SAP testing and automation integration
• API testing tools (Postman, REST tools)
• Test data management and environment management tools
• Programming/scripting knowledge (Java, Python, or similar preferred)
• Version control systems (Git)

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field
• 8–12 years of experience in test automation
• 3+ years in a test automation lead or architect role
• Proven experience implementing Tricentis Tosca in enterprise environments
• Experience working on SAP or ERP transformation programmes
• Tricentis certification (preferred)
• Strong understanding of DevOps and continuous testing practices

If your experience or qualifications is similar to our ideal of a successful candidate, please consider applying. Experience comes in many ways; skills may be transferred, but passion for your career can't be substituted. At TTC, we understand the importance of diversity and how much value it brings to the table. Diversity brings about creativity and new perspectives, which is why we beckon everyone to apply. 

Senior Frontend Engineer - Consistent Experiences

We are looking for an experienced Frontend Engineer to come and join our agile delivery team responsible for building some of the capabilities that enable us to provide brand-new experiences to our users, using the latest technologies. You will love working in a high-performance, entrepreneurial environment that values the craft of building cutting-edge products and solving complex problems.

You’ll be joining an established, cross-functional squad, focused on building our design system, logged-out website and other cutting-edge technologies.

We are always looking for ways to do things better and encourage new joiners to bring their ideas and ways of working to the table. Teach us some cool stuff, and we'll teach you some, but most of all, you'll have fun doing it.

We are proud to say that our engineers at ClearScore are world-class and at the heart of making this mission a reality for our millions of users.

For more information on our tech stack, check out our 2026 Tech Radar. How we work is summarised in our Behavioural Principles and Engineering Principles. We also have other Tech Blogs on Medium.

What you will be doing:

• Design, build, and maintain full-stack solutions using Node.js and TypeScript, delivering data-driven user interfaces and backend services.
• Build intuitive client UX utilising design systems and server-driven UI frameworks.
• Optimise and scale databases for large-scale applications, leveraging SQL, PostgreSQL, and indexing strategies to ensure performance and maintainability.
• Work closely with expert colleagues who will implement, monitor, and optimise real-time data pipelines with Kafka, ensuring robust message handling and distributed system performance to power your features.
• Take ownership of end-to-end performance optimisation, both client- and server-side.
• Lead the deployment and maintenance of production-grade code and databases across multiple global markets.
• Monitor post-release performance, leveraging tools for reliability and system health.
• Collaborate in an Agile environment, mentoring team members and those of other specialisms and fostering a culture of learning and continuous improvement.
• Contribute to the growth of our technology by driving improvements in standards, tools, and processes.

Skills we'd love you to have

• Expert knowledge of HTML5, CSS3, and JavaScript (ES6+) and TypeScript
• Strong knowledge of React and SSR frameworks, such as React Router 7 Framework or Next.js
• Experience building services using Node.js and technologies like Fastify or Express.js
• Strong attention to UI consistency, accessibility, and visual detail
• Solid understanding of responsive design and cross-browser compatibility
• Familiarity with design systems
• Familiarity with headless CMS platforms such as Contentful would be a plus
• You live for unit and functional testing, using tools such as Jest and React Testing Library
• Good knowledge of build tools such as Webpack or Vite
• Desire to mentor more junior members of the team and to pair program to share your knowledge across the team
• Strong collaboration skills and impulse to share your knowledge across the Frontend team and the wider tech community
• Ability to lead large projects with multiple engineers working on them
• Understand and drive build processes and CI tooling (e.g. Jenkins, Circle CI)
• You have opinions on what technologies and standards we should be using now and in the future - we always want to hear new ideas.

Why ClearScore?

ClearScore is the UK's #1 credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions.

Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do.

Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth.

If you feel like this could be the place for you, apply and our Talent team will be happy to share more.

Benefits:

• 25 paid holidays and a “duvet day” on your birthday
• Hybrid Work Environment
• Private health and dental cover - including mental health support through Bupa 
• GP office visits
• Life assurance scheme
• Up to 6% matched pension
• Regular Lunch and Learns with guest speakers
• Dog-friendly office
• Daily breakfast and free snacks
• Access to discounts via Cobens Extras 
• Free sports and social clubs
• Continued investment into learning and development 
• Leadership-led training
• In-house psychotherapist
• Financial coach to help you plan and achieve your goals
• No clock-watching culture
• Generous maternity and paternity plans
• Culture and inclusion representatives
• Transparent pay structure and a career growth plan

Equal Opportunities

ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs.

• Levels 1-5: Minimum 2 days per week in-office
• Level 6 and above: Minimum 3 days per week in-office

• Flexibility to manage your work and life
• Dedicated in-office days for team building and collaborative projects
•  Office facilities (with plants!) designed for productive interactions
• Clear expectations and support for maintaining our hybrid schedule

Senior Site Reliability Engineer

ClearScore is a workplace like no other. Over the past ten years, we’ve disrupted an entire industry and built a user base of millions. At the heart of this success is our culture: we work hard, embrace change, and treat each other with respect, enabling everyone to reach their potential and deliver results that truly make a difference.

We’re on a mission to positively impact the lives of our users. Our product puts their needs at the centre of our thinking. Through cutting-edge technology, insightful analytics and beautiful design, we help our users build financial confidence and make better financial decisions.

We want our people to perform at their best, so we trust everyone to work in a way that suits them, focusing on output rather than time spent at a screen. We have an inclusive culture where everyone is encouraged to look after their wellbeing while growing and developing their career.

What you will be doing:

• Drive architectural change by participating in RFCs, architecture forums and platform-wide initiatives to improve reliability, scalability and efficiency
• Lead and evolve ClearScore’s Kubernetes platform, designing, upgrading and optimising clusters at scale while shaping how we use Kubernetes across the company
• Troubleshoot and resolve complex production issues independently, using a deep understanding of distributed systems and containerisation to mitigate and prevent incidents
• Design and contribute to Kubernetes controllers and automation tools to improve our infrastructure and developer experience
• Enhance our AWS estate, ensuring cost efficiency, security and scalability while promoting best practices across teams
• Collaborate with developers to improve service observability, implement metrics and alerting strategies, and build meaningful dashboards for complex systems
• Build and maintain CI/CD pipelines from scratch for new use cases, manage migrations, and introduce new tooling where beneficial
• Contribute to open source projects through fixes, feedback or new tools aligned with our mission
• Mentor and guide mid-level SREs and other engineers, helping them develop deep technical expertise and operational excellence

Skills we'd love you to have

• Expert-level Kubernetes knowledge, including experience with cluster upgrades, networking (CNI), container runtimes and troubleshooting node-level issues
• Strong AWS expertise, including architecture, networking and cost management, with an awareness of industry standards and the ability to influence adoption across teams
• Deep understanding of Linux internals, containerisation and operating system-level performance tuning
• Proficiency in at least one compiled language (for example Go, Rust or C++) and one interpreted language (for example Python or Bash)
• Proven ability to automate infrastructure, deployments and monitoring with strong scripting skills across multiple languages
• Experience designing, deploying and operating distributed systems with complex failure modes
• Strong networking fundamentals, capable of debugging complex routing or firewall issues and designing resilient architectures
• Hands-on experience with CI/CD pipelines and tooling such as Jenkins, ArgoCD or Spinnaker, including building and managing large-scale migrations
• Deep observability expertise, from instrumenting applications and building dashboards to managing large monitoring stack upgrades and integrations

Why ClearScore?

ClearScore is the UK's #1 credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions.

Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do.

Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth.

If you feel like this could be the place for you, apply and our Talent team will be happy to share more.

Benefits:

• 25 paid holidays and a “duvet day” on your birthday
• Hybrid Work Environment
• Private health and dental cover - including mental health support through Bupa 
• GP office visits
• Life assurance scheme
• Up to 6% matched pension
• Regular Lunch and Learns with guest speakers
• Dog-friendly office
• Daily breakfast and free snacks
• Access to discounts via Cobens Extras 
• Free sports and social clubs
• Continued investment into learning and development 
• Leadership-led training
• In-house psychotherapist
• Financial coach to help you plan and achieve your goals
• No clock-watching culture
• Generous maternity and paternity plans
• Culture and inclusion representatives
• Transparent pay structure and a career growth plan

Equal Opportunities

ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs.

• Levels 1-5: Minimum 2 days per week in-office
• Level 6 and above: Minimum 3 days per week in-office

• Flexibility to manage your work and life
• Dedicated in-office days for team building and collaborative projects
•  Office facilities (with plants!) designed for productive interactions
• Clear expectations and support for maintaining our hybrid schedule