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

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

Your Impact

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

Your Skills

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

Bonus Points For:

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

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

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

Your Impact

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

Your Skills

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

Bonus Points For:

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

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

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

Your Impact

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

Your Skills

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

Bonus Points For:

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

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

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

Your impact:

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

Your Skills

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

Desirable

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

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

Key Responsibilities

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

Required Skills & Experience

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

Desirable Skills

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

Soft Skills

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

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

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

Your Impact  

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

 Your Qualifications 

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

Preferred Qualifications 

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

 What Makes This Role Exciting 

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

#LI-SP1

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

Your Impact

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

Your Qualifications 

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

Nice-to-Have

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

About the Team

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

About the Role

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

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

What You'll Be Doing

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

We're Excited If You Have

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

#LI-JB6

About the Team 

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

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

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

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

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

The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries using Apache Spark for large-scale datasets. 

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

API and Platform Development

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

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

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

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

• Strong understanding of SOLID principles and distributed systems architecture. 

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

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

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

• Excellent verbal and written communication skills. 

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

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

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

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

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

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

#LI-GL1

About the Team 

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

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

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

About the Role 

We are seeking a highly skilled Senior Software Engineer with deep expertise in big data technologies, including Apache Spark and Apache Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

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

The ideal candidate is a proactive, self-motivated professional with a strong track record in building high-scale data services and a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and audience management workflows. 

• Write clean, maintainable, and efficient code, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries using Apache Spark for large-scale datasets. 

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

API and Platform Development

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

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

• Partner with the machine learning team, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

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

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

• Strong understanding of SOLID principles and distributed systems architecture. 

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

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

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

• Excellent verbal and written communication skills. 

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

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

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

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

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

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

#LI-GL1

About the Team 

The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams. 

We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the Role 

We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows. 

• Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets. 

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

Collaboration & Mentorship 

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

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

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

• Strong understanding of SOLID principles and distributed systems architecture. 

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

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

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

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

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

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

• Exceptional verbal and written communication skills. 

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

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

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

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

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

About the Team 

The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams. 

We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.  

Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the Role 

We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing. 

You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions. 

The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results. 

What You’ll Be Doing 

Software Development 

• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows. 

• Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews. 

Big Data Engineering 

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow. 

• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance. 

• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets. 

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

Collaboration & Mentorship 

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions. 

• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re Excited If You Have 

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

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

• Strong understanding of SOLID principles and distributed systems architecture. 

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

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

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

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

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

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

• Exceptional verbal and written communication skills. 

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

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

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

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

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

About the team

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

About the role 

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

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

What you’ll be doing

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

We are excited if you have

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

#LI-MS3

About The Role

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

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

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

About The Team

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

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

What You’ll Be Doing

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

We’re Excited If You Have

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

#LI-AM3

About The Role

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

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

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

About The Team

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

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

What You’ll Be Doing

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

We’re Excited If You Have

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

#LI-AM3

About the team 

The Ads Analytics team plays a critical role in Roku’s Advertising organization, leading measurement and analytics initiatives that power decision-making across the advertising ecosystem. We develop and manage products that deliver actionable insights for advertisers while meeting the operational and analytical needs of internal business teams.  

We work closely with Product Managers, Ad Sales, Ad Operations, Data Science, and multiple other software teams within the Advertising Engineering organization to deliver high-impact solutions.   

Looking ahead, we are exploring AI-driven measurement capabilities to further enhance the effectiveness of advertising campaigns and strengthen internal analytics. 

About the role 

We are seeking a high skilled Senior Software Engineer with deep expertise in API Development using Spring Boot while also possessing knowledge of Apache Spark-based Big Data pipelines using Airflow. This hybrid position bridges software engineering and data engineering, requiring the ability to design, build, and maintain scalable systems for both application development and large-scale data processing.  

You will communicate and collaborate heavily with both business and engineering to ensure high quality standards and overall project delivery success. In this role, you will collaborate with cross-functional teams to architect and manage robust, production-grade data products that power critical analytics and measurement capabilities. You will work with technologies such as Apache Spark, Apache Airflow, Trino, Druid, Spring Boot, StarRocks, and Looker to deliver reliable, high-performance solutions.  

The ideal candidate is a proactive, self-motivated professional with a strong track record in building applications and services with a dedication to delivering exceptional results. 

What you’ll be doing  

Software Development  

• Design and build APIs and backend services using Spring Boot to support data products and analytics workflows.  
• Write clean, maintainable, and efficient code and tests, ensuring adherence to best practices through code reviews.  

Big Data Engineering  

• Design, develop, and maintain data pipelines and ETL workflows using Apache Spark and Apache Airflow.  
• Optimize data storage, retrieval, and processing systems to ensure reliability, scalability, and performance.  
• Develop and fine-tune complex queries and analytics solutions using Druid, Trino, and StarRocks for large-scale datasets.  
• Monitor, troubleshoot, and improve data systems to minimize downtime and maximize efficiency.  

Collaboration & Mentorship  

• Partner with data scientists, software engineers, and other teams to deliver integrated, high-quality solutions.  
• Provide technical guidance and mentorship to junior engineers, promoting best practices in software and data engineering. 

We’re excited if you have  

• 10+ years professional software development experience. 
• Experience building highly scalable, low-latency REST services and API frameworks. 
• Able to efficiently write SQL queries and analyze results to explore business problems and inquiries.
• Ability to translate queries and reporting requirements into production-level data processing pipelines.
• Proficient in day-to-day use of Python / Java / Scala.
• Strong understanding of and experience with distributed computing frameworks like Hive/Hadoop and Apache Spark.
• Expertise in data modeling, schema design, and data visualization tools. 
• Experience working in GCP and/or AWS is a plus.
• Experience with JavaScript, Node.js and React is nice to have.
• Experience deploying services on Kubernetes is a plus. 
• Knowledge of CI/CD pipelines, DevOps practices, and infrastructure-as-code tools (e.g., Terraform) is a plus. 
• Background in computer science or similar quantitative field. 

About the team

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

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

About the role 

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

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

What you’ll be doing

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

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

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

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

We’re excited if you have 

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

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

#LI-MS3

Job Title: Senior Python Engineer

Location: Remote (UK) with Occasional Travel - Applications from non-UK countries will be rejected
Division: Inizio Medical – Data & AI Team

About Inizio Medical

Inizio Medical is part of Inizio, the world’s leading healthcare and communications group. We are a trusted partner to pharmaceutical and healthcare clients, translating complex science into meaningful impact. Our division focuses on evidence-based communications and education for healthcare professionals and payers.

About the Role

We are seeking a senior, hands-on Python Engineer to join our growing Data & AI team. This role is ideal for an engineer who enjoys building robust backend systems, APIs, and services that power modern applications at scale.

You will work on the backend foundations of next-generation applications, including systems that incorporate generative AI and LLM-based capabilities. Prior experience with generative AI is not required—we are looking first and foremost for a strong Python engineer with excellent software engineering fundamentals who is interested in applying those skills in a fast-evolving domain. 

You’ll collaborate closely with software engineers, data scientists, and product teams to design, build, and operate production-grade systems used in real-world healthcare and life sciences environments. This is not a position with current line management responsibilities. 

Key Responsibilities

• Design, build, deploy, and maintain scalable Python services and APIs using modern backend and cloud-native patterns.
• Develop clean, testable, and well-structured Python code for data-intensive and workflow-driven applications.
• Build and integrate backend components that support AI-enabled features (e.g., orchestration layers, inference services, data pipelines).
• Integrate with third-party APIs and external services, ensuring reliability, performance, and cost efficiency.
• Own production concerns including logging, monitoring, error handling, and performance optimisation.
• Contribute to CI/CD pipelines, infrastructure-as-code, and containerised deployments.
• Collaborate with product, data, and engineering stakeholders to translate requirements into high-quality technical solutions.
• Write clear technical documentation for engineers and non-technical audiences.
• Contribute to a collaborative, pragmatic, and high-quality engineering culture.

About You

• Strong professional experience as a Python engineer, building and operating production systems (e.g., SaaS platforms, backend services, data-driven applications).
• Deep knowledge of Python fundamentals, including application architecture, performance considerations, testing, and maintainability.
• Experience building backend systems using frameworks such as FastAPI, Flask, Django, or similar.
• Solid understanding of cloud-based architectures (AWS and/or Azure), containers, and microservices.
• Experience working with CI/CD pipelines, version control, and modern development workflows.
• Strong debugging and problem-solving skills in distributed or data-heavy systems.
• Comfortable collaborating in cross-functional, Agile teams and taking ownership of delivered solutions.
• Curious, pragmatic, and motivated by building reliable systems that deliver real-world impact.

Nice to Have (Not Required)

• Exposure to data platforms or analytics workflows (e.g., Databricks, Airflow).
• Familiarity with LLMs, generative AI APIs, or AI-enabled application patterns.
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Sentry).
• Contributions to open-source projects or shared internal libraries.
• Experience in regulated or high-compliance domains (e.g., healthcare, life sciences, finance).

What We Offer

• Competitive salary and benefits package, including private medical insurance and company pension.
• Flexible, remote-first working environment with occasional travel.
• The opportunity to work on meaningful, high-impact products within a global healthcare organisation.
• A friendly, low-ego culture that values engineering quality, learning, and collaboration.

Ready to Apply?

If you’re a strong Python engineer who enjoys building high-quality systems and is interested in applying your skills to emerging technologies in healthcare, we’d love to hear from you.

Site Reliability Engineer (UK)

At Obsidian, our Site Reliability Engineers ensure the reliability, scalability, and operational excellence of a complex multi-tenant SaaS platform serving enterprise and financial customers. As an SRE, you will work closely with DevOps, Platform Engineering, and product teams to improve system observability, incident response, and service resilience across the platform.

This is a hands-on engineering role focused on building operational excellence through monitoring, automation, debugging, and continuous improvement. You will help ensure that issues are detected and addressed quickly while contributing to systems that improve platform reliability at scale.

Key Responsibilities

• Reliability Engineering: Improve the reliability, availability, and resiliency of Obsidian’s production systems and distributed services
• Detection & Observability: Build and maintain monitoring, alerting, dashboards, and observability tooling to enhance system visibility and reduce operational noise
• Incident Response & Operations: Support incident response, on-call operations, troubleshooting, and postmortem processes to drive operational excellence
• Collaboration: Partner with engineering teams to implement SLI/SLO practices, operational standards, and reliability-focused workflows
• Execution: Automate infrastructure operations, deployment workflows, and platform tooling across Kubernetes, cloud infrastructure, and data pipelines

Required Qualifications

• 2–5 years of experience in Site Reliability Engineering, DevOps, Production Engineering, or related roles
• Experience operating and supporting production systems in AWS and/or GCP
• Familiarity with Kubernetes and Helm in cloud-native environments
• Experience with observability and monitoring tools such as Prometheus, Grafana, Datadog, or similar platforms
• Exposure to CI/CD systems such as GitLab CI/CD, GitHub Actions, ArgoCD, or equivalent
• Strong troubleshooting and debugging skills across distributed systems and microservices
• Experience writing automation or infrastructure tooling using scripting or programming languages
• Strong systems thinking and a collaborative engineering mindset

Preferred Qualifications

• AI Agent development experience
• Experience supporting SaaS platforms in production environments
• Familiarity with incident management and postmortem practices
• Exposure to infrastructure-as-code and GitOps workflows
• Understanding of SLI/SLO concepts and operational metrics
• Experience with enterprise-scale monitoring or customer-facing production systems

Why This Role

• Work on reliability challenges across a large-scale distributed SaaS platform
• Build and improve observability and operational tooling used across engineering
• Gain hands-on experience with cloud infrastructure, Kubernetes, and production systems
• Help safeguard critical services for enterprise and financial customers

What Success Looks Like

• Production issues are detected and resolved quickly
• Monitoring and alerting provide clear, actionable operational insights
• Reliability metrics and operational practices improve over time
• Engineering teams can effectively troubleshoot and self-serve observability
• Automation reduces operational toil and improves platform stability

Mark43’s mission is to empower communities and their governments with technologies that improve the safety and quality of life for all. We build modern, resilient software that first responders and public safety professionals depend on in their most critical moments. From dispatching emergency services to filing reports that shape public policy, our work directly impacts how governments serve their communities—especially those who need it most.

We are looking for a Software Engineer who is excited to solve real-world problems with tangible societal impact. You’ll help build core systems used by public safety agencies around the world, and explore how emerging tools like AI-assisted development can make our engineering team faster, safer, and smarter.

What You’ll Do

As a member of our engineering team, you’ll ship features that help first responders save lives, navigate emergencies, and keep their communities safe. You’ll also help us explore new ways to deliver that impact more efficiently by thoughtfully integrating AI-assisted workflows into our development process.

If you were on the team last week, you might have:

• Built or improved a workflow used by frontline police officers or dispatchers in our cloud-native platform

• Used tools like Cursor or GitHub Copilot to speed up implementation while maintaining high quality

• Partnered with teammates across engineering, product, and design to deliver a new feature end-to-end

• Experimented with using internal AI tools to automate a repetitive coding task or accelerate test coverage

• Fixed a bug affecting real users or improved the resilience of a high-uptime service

• Shared feedback in a retro or mentored a teammate through a tough technical decision

What You’ll Need

We’re looking for a thoughtful and driven software engineer with 1+ years of professional experience. You care about writing clean, maintainable code—and you’re motivated by the idea that your work can help people in the moments they need it most. While you don’t need deep AI expertise, we value a genuine interest in using AI tools to make development more effective.

You should have:

• 1+ years of professional software engineering experience or a Computer Science Degree and Internship Experience 

• Experience with at least part of our stack: Java, Javascript, TypeScript + React, and MySQL (You will be asked to complete a coderpad test in Java and Javascript) 

• Curiosity and comfort with modern development tools, including AI-assisted platforms like GitHub Copilot, Cursor, or LLM APIs

• A collaborative mindset and strong communication skills

• A balance of pragmatism and technical rigor

• A desire to grow quickly on a high-impact, mission-oriented team

People Who Thrive on Our Team Also Tend to Be:

• Mission-driven. You care about building technology that serves the public good and delivers real value to people who rely on it

• Humble, open, and curious. You ask questions before making assumptions, and you value others’ perspectives

• Collaborative by default. You see teamwork as the key to strong engineering and impactful outcomes

• Growth-oriented. You embrace feedback, learn from setbacks, and aim to improve a little every day

• Comfortable with uncertainty. You’re excited to help define best practices in a fast-evolving space

Location

This role is based in our Manchester, UK office and follows a hybrid work model. Team members are expected to be in the office at least three days per week to foster strong collaboration and a connected team environment.

About Mark43
Mark43 empowers communities and their governments with technology that improves safety and quality of life. We build modern, resilient software that first responders and public safety agencies depend on in their most critical moments. 

Role Overview

We are seeking an experienced Senior Software Engineer – Integrations who will take technical ownership of building and scaling integrations between Mark43’s core platform and mission‑critical third‑party systems. You’ll lead the design, development, and implementation of robust APIs, data pipelines, and messaging layers, ensuring seamless operational data flow for emergency dispatch and response systems. This is a hybrid role requiring at least three days per week in our Manchester office to support strong team collaboration.  

What You’ll Do

• Lead full lifecycle development of integrations that connect the Mark43 platform with external systems such as 911 call centers, state databases, evidence systems, and other key services.  
• Drive architectural decisions and ensure scalable, maintainable solutions across REST APIs, message queues, and event‑driven workflows.  
• Collaborate closely with Product, Engineering, and partner technical teams to define reliable API contracts and integration patterns.  
• Mentor and guide more junior engineers on the team, elevate coding standards, and lead code reviews.
• Contribute to integration testing strategies, observability, and dashboards to monitor operational data flows.
• Champion best practices for performance, security, and error‑handling in distributed systems.
• Participate in sprint planning, roadmap discussions, and technical strategy across the integrations team.

What You’ll Need

• 4+ years of professional software engineering experience, with a strong focus on backend services, distributed systems, and system integrations.
• Proven ability designing and operating APIs, webhooks, or asynchronous messaging systems (e.g., Kafka, queues).  
• Experience with languages and technologies relevant to our stack such as Java, TypeScript/JavaScript, RESTful services, SQL/MySQL, and data pipelines.  
• A solid understanding of integration challenges, including data transformation, schema evolution, retries, and failure management.
• Experience leading technical workstreams and mentoring less senior engineers.
• Strong communication skills and the ability to work with cross‑functional partners.

Nice to Have:

• Prior experience in public safety, government software, or regulated domains.
• Familiarity with CI/CD pipelines, observability tooling, and cloud‑native practices.

Why You’ll Love Working Here

At Mark43 you’ll work on software that directly impacts how first responders protect communities. You’ll enjoy collaborating across disciplines, shaping product integrations that accelerate public safety operations, and mentoring a talented engineering team. Joining our Manchester office fosters a supportive culture rooted in shared mission and innovation. 

Location

This role is based in our Manchester, UK office and follows a hybrid work model. Team members are expected to be in the office at least three days per week to foster strong collaboration and a connected team environment.

About The Team

The Roku Enterprise Engineering team is at the forefront of building a robust, integrated, and scalable platform that powers critical business processes across the organization. As a cornerstone of Roku's corporate strategy, this team is instrumental in automating workflows across all Business Systems, including Supply Chain, Finance, Sales Operations, and Human Resources. By challenging traditional approaches to workflow automation, the team leverages cutting-edge Engineering practices and API-driven design to streamline internal processes, boost efficiency, and deliver innovative solutions.

The team's expertise spans a wide range of technologies, including Java and Python-based MicroServices, AWS/GCP cloud backend systems, Big Data technologies like Hive and Spark, and modern Web applications. With a globally distributed presence across the US, India and Europe, the team thrives on collaboration, bringing together diverse perspectives to solve complex challenges. At the heart of their success is a shared commitment to technical excellence, creativity, a strong sense of ownership, and a collaborative spirit that drives impactful results for Roku's business operations.

About The Role

As a senior technical lead, you consider yourself a platform services developer and developing innovative solutions using modern software frameworks and paradigms. You are self-driven and problem solver, with a strong background in building large-scale software platform and applications. You are execution focused and would develop a reputation for repeatedly delivering projects on-time.

What you'll be doing

• Design, develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to use case and data model design
• Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline
• Partner with security and compliance teams to ensure the application meets compliance, security and audit requirements
• Participate in the continual improvement of engineering tools, cloud-based technologies/services, and process
• Define and participate in Agile development process, including scoping, technical design, estimation effort, coding, testing, debugging, code reviews, maintenance and support
• Collaborate with cross-function teams and demonstrate great communication skills

We're excited if you have

• 5+ years of experience in delivery multi-tier, highly scalable, distributed web application
• Deep understanding in software architecture, object-oriented design principles, and data structures
• Extensive experience in developing microservices using Java, Python
• Good experience in Test driven development and automating test cases using Java/ Python
• Experience in SQL / NoSQL (Oracle, Cassandra) database design
• Demonstrated ability to be proactive, self-driven, and make practical trade-offs based on business needs, entrepreneurial spirit
• Excellent verbal and written communication skills
• BS or MS degree in Computer Science or equivalent
• Experience in distributed computing frameworks like - Hive/Hadoop, Apache Spark
• Experience in developing Finance or HR related applications
• Experience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache, Lambda
• Working experience with Terraform
• Experience in creating workflows for Apache Airflow

#LI-GL1

Overview

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

Your Impact

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

The essential functions of this position include:

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

Qualifications

Job Knowledge/Skills:

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

Core technology knowledge: 

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

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

VOIP Calling, Collaboration/Meetings and Telepresence 

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

Education and Experience:

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

Position Specifics

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

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

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

About the Role

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

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

What You’ll Do

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

What We’re Looking For

Minimum Qualifications

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

Preferred Qualifications

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

Why Join Us

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

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

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

What’s in It for You

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

Required Skills & Experience

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

Desirable Experience

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

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

AI Engineering Capabilities:

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

Mission

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

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

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

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

Overview

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

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

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

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

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

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

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

Overview

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What we offer

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

The Role

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

Your Impact

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

Your Skills

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

Performance Engineer;

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

Tech we use

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

Team Description

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

Your Impact

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

Your Qualifications

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

Preferred Skills

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

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

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

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

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

Your Impact

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

Your Skills

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

Nice to Have

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

About Autotrader

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

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

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

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

About the role

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

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

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

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

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

What we're looking for

• A thorough understanding of Java and the JVM 

• Knowledge of server-side frameworks such as Spring

• Web application design and RESTful API know-how

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

• Proven experience mentoring, coaching and sharing technical expertise 

• Architectural and system design knowledge  

• Experience leading and delivering technical projects

• SQL/Relational databases

• Document/Map based storage (eg: MongoDB)

• Working with Kafka messaging/streaming

About us

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

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

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

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

About the job

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

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

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

What we’re looking for:

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

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

Benefits

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

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

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

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

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

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

#LI-CI1

#LI-Hybrid

About Prophecy 

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

About the Role

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

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

What You’ll Do

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

What You’ll Need

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

Preferred Qualifications

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

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

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

RESPONSIBILITIES:

Implement Management Features

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

Support Across Lifecycle

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

Partner to Product and Engineering

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

PREFERRED QUALIFICATIONS:

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

MINIMUM QUALIFICATIONS:

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

The Role 

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

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

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

The Team You Will Lead 

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

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

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

The Operational Reality

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

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

As the Senior Infrastructure Manager, You Will:

People Leadership & Talent Development

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

Strategic & Operational Management

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

Technical Support & Oversight

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

General Duties

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

Essential Knowledge, Skills, and Experience

Leadership & Management Competencies

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

Technical Environment & Team Capabilities

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

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

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

Desirable Knowledge, Skills, and Experience

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

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

Why This Role?

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

A Note to Candidates

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

UK Benefits & Perks

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

Salesforce Engineer

🌏 London, Manchester or Oxford (Hybrid)

💷 Discretionary Company Bonus Scheme

⏰ Monday – Friday (37.5h pw)

💖 Our perks

• 🌏25 days holiday (rising to 28 after 3 years’ service) plus bank holidays, to take time to recharge and do something you love.  
• 🤒 Private Medical - via vitality, with reward schemes paid for you and your family.
• 🤒 Health cash plan - via Simply Health for employee's and children claiming money back for dental, optical, etc
• 👍Pension – Oodle will contribute 5% of your salary into your pension pot to help you save for the future
• 🪙Life Assurance - 4 x annual salary - benefit funded by Oodle 
• 🥝Free breakfast, drinks and fruit in the office – you can help yourself to cereals, toast, fizzy drinks and lots of fruit. 
• 🤟Employee discounts – discounts you can access anywhere, anytime for all major shops. 
• 👌1 day volunteer day per year – an opportunity to give back to the community each year. 
• ⭐Mental health care – 6 free counselling sessions via our EAP (Employee Assistance Programme). 
• 🤧Paid sick leave – enhanced company sick pay.   
• 👨‍Enhanced family leave – we provide enhanced family leave for primary and secondary caregivers.

🚗 Oodle – who are we? 🚗

Our mission is to empower our customers by delivering simple experiences, straightforward lending products, and compassionate support, from application to final payment – and beyond.

Upgrading. Growing a family. Fresh starts. Big moves. Bumps in the road. - we finance cars, but more importantly, we finance people. Since 2016, we’ve supported tens of thousands of customers on their car buying journey

As an employer, your career is important to us. We’re committed to creating an environment where you can thrive as yourself. We celebrate diversity and inclusion, actively working to make sure every team member feels supported on their journey with us. Our Talent Development team is here to support your growth, providing opportunities for learning, development, and career progression.

🟢The Team

The Salesforce team is a crucial part of Oodle’s Engineering division. We drive the Salesforce platform and data  that integrates to all of our other front-end systems. We strive to deliver a high quality on all of our Salesforce and integrated software products, in a fun and social environment.

This role is based in either our London, Oxford or Manchester offices  and can be worked in a hybrid manner combining in-person collaboration within the office and  Finance team and remote/home working.

We are incredibly inclusive and open to most adaptations to working patterns, which can be discussed during the interview process.

🙌 The Role

Salesforce Engineer at Oodle Car Finance. 

A Salesforce Engineer works with the product teams to develop software products in line with the project management goals and contributes to the design and development of any work needing to be done by the team with regards to Salesforce, while ensuring that code is in line with the general ethos and approach to development of the Salesforce platform.

This is a great opportunity for someone who has been working with the Salesforce Platform in a development capacity but is looking for a role where they can grow into a Subject Matter Expert in all things SF. You will be joining an organisation who use multiple Salesforce clouds (Sales, Service, Marketing, Experience and Integration) in solutions aligned across multiple operational groups.

The Salesforce technical resources operate in a guild structure where platform knowledge and shared implementations are discussed across operational program boundaries. You should have a thirst for learning and an ability to communicate proposals and solutions to both Salesforce peers and technical resources not familiar with Salesforce.

What you’ll need for this role:

• Experience developing on the Salesforce Platform using both declarative and coded solutions
• An understanding of Lightning UX and configuring Salesforce for agent efficiency, using standard Salesforce features and Lightning Components
• Experience using a development IDE such as VSCode or IntelliJ
• Experience using Git or an equivalent source control system
• Experience in using integration technologies such as REST and SOAP
• Solid problem solving skills.

These are nice-to-have skills, we’re happy to train:

• Salesforce Certified Platform Developer I or equivalent demonstrable experience
• Exposure to development on Service Cloud implementations
• Exposure to development on Marketing Cloud implementations
• Exposure to Salesforce DX source format and usage of Salesforce CLI for both development and continuous integration
• Salesforce Certified Platform Developer II
• Jira and Confluence

👩‍💻 Hiring Process

• ☎️ Preliminary Interview (30 mins)
• 📲 Video Interview (30 mins) with the Head of Product
• 🔦 Final Technical Interview (1 hour) with the hiring manager and a member of the team.  

💚 Our Values

Our values are our personal brand and lay the foundation of what we care about the most. They provide us with guidance, so we can work towards the same goals. They are our DNA and are kept at the forefront of our Oodler’s mind when making business decisions.

• Embrace being human – empathy and diversity make us stronger
• Strive for awesome – it’s awesome when we do better every day
• Everyone’s a builder – we’re in this together and we win as a team
• Bravely honest – we’re honest with ourselves and everyone else
• Think customer – they’re at the heart of everything we do

To find out more about our culture and what happens at Oodle check out our LinkedIn and Instagram. 

Oodle is proud to be an inclusive workplace and we recognise diversity of experience, thoughts and backgrounds leads to better customer outcomes and an environment where our colleagues can thrive. We have several DEI networks which are made up of our ‘Oodlers’ who strive to make positive impacts to our cultures. 

We’d love if you could submit your application online, but if you need an alternative method or need reasonable adjustments to take part in the interview process, please email careers@oodlefinance.com.

To find out how we handle your personal data, please refer to our Privacy Policy.

We’re looking for an experienced Data Engineer to join Apadmi and help our clients unlock value from their data through scalable, insight driven platforms. You’ll work with multi disciplinary teams to design and deliver data solutions that power insight, marketing activation and product experiences across mobile and web. This is a role for someone technically strong, commercially aware and ready to step in as an ambassador for Apadmi, helping shape and grow our Data Engineering capability.

As a Data Engineer, you’ll…

Design and deliver scalable data pipelines and architectures that transform raw data into actionable insight and activation across client ecosystems. You’ll collaborate with Product, Marketing, Engineering and Data teams to ensure data is accurate, accessible and driving measurable outcomes, while helping shape Apadmi’s growing data engineering capability in a fast paced, innovative environment.

What you’ll be working on

In this role, you’ll design and build end-to-end data solutions across multiple clients and industries. You’ll develop robust pipelines that power insight, reporting and real time activation, enabling everything from dashboards to personalised customer experiences. You’ll also play a key role in defining best practices, supporting new business opportunities and laying the foundations for Apadmi’s Data Engineering function.

• Design, build and maintain scalable data pipelines across AWS, Azure and GCP
• Develop and optimise data models to support BI tools such as Power BI, Tableau and Looker
• Enable marketing and audience activation through CDPs and direct integrations with paid media platforms
• Integrate data pipelines with web and app ecosystems, including analytics platforms and event tracking frameworks
• Support real time and batch data processing for insight and activation use cases
• Ensure data quality, governance and compliance, including GDPR considerations
• Collaborate with cross functional teams to translate business requirements into technical solutions
• Contribute to defining data architecture standards and best practices across the organisation
• Support new business opportunities with data engineering expertise and solution design
• Participate in agile delivery processes, ideally within SCRUM frameworks

What you’ll bring to the team

You’ll be technically strong, solution oriented and comfortable working across the full data lifecycle, from ingestion and transformation through to insight and activation. You’ll have experience working in fast paced environments, ideally within an agency or consultancy, and be confident communicating complex technical concepts to a range of stakeholders. You’re proactive, adaptable and excited by the opportunity to help build and shape a growing capability.

• Strong experience across cloud platforms, including AWS, Azure and GCP
• GCP Professional Certification (e.g. Professional Data Engineer or Cloud Architect)
• Proven experience building and maintaining production grade data pipelines using tools such as DBT, Airflow or Databricks.
• Proficient in orchestrating cloud environments using Infrastructure as Code (IaC) tools like Terraform.
• Strong SQL and experience with Python or similar programming languages
• Experience working with BI tools such as Power BI, Tableau or Looker
• Understanding of marketing and data activation ecosystems, including CDPs, CXPs, paid media integrations, etc
• Experience integrating data across web and app environments
• Knowledge of data governance, security and compliance best practices
• Strong stakeholder management and communication skills
• Agile experience, ideally SCRUM
• Proactive, flexible and adaptable approach to work
• Commitment to delivering high quality, scalable solutions for both users and clients
• Predominantly office based, with ability to collaborate in person and virtually

What will I be doing?

• Converting qualified leads generated by the Inside Sales and SDR teams, and taking them through demo and negotiating to successful closure.
• Drive detailed business plans for goal and quota attainment. Strategise and drive each deal to closure.
• Drive thorough discovery of customer's business priorities and challenges; offer relevant introduction to Zenoti's products targeted to their individual business needs and challenges
• Be a strategic business partner for new customers, offering insight into the customer's market, industry, business model and opportunities regarding Zenoti systems.
• Work with the Technical Sales Engineer to prepare for demos and technical discussions with prospective customers.
• Facilitate handoff of new customers to software implementation teams with detailed notes and specifications from customers. Work with the support and implementation teams to ensure a smooth transition from sales and to manage customer expectations throughout their tenure with Zenoti.
• Upsell additional Zenoti products and services to existing customers.
• Collaborate with Inside Sales team on strategy for increasing the sales pipeline. Continually identify opportunities to increase closure rate, improve implementation process handoff
  
  

What skills do I need?

• French and English Language required
• Experience in working with customers virtually. Some travel may be required.
• Experience working with small to mid-level sized companies
• Self-motivated and goal oriented. Desire to work in a competitive environment where one's growth potential is driven by one's abilities and attitude.
• Excellent communication and presentation skills, personality, and the ability to build relationships and trust with customers
• Organisational and time management skills
• Bachelor's Degree in Business or any relevant discipline desirable. 
• 3+ years of strong relevant experience in customer-facing technology sales or inside sales representative roles in SMB, Mid-market, or Enterprise client segments.
• Knowledge of sales processes and adhering to such established processes.
• Experience in or an understanding of the spa, salon, fitness, and/or beauty & wellness industry a BIG PLUS!