About the Team

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

About the Role

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

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

What You'll Be Doing

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

We're Excited If You Have

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

#LI-JB6

About the Team 

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

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

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

About the Role 

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

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

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

What You’ll Be Doing 

Software Development 

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

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

Big Data Engineering 

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

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

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

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

API and Platform Development

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

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

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

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

We’re Excited If You Have 

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

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

• Strong understanding of SOLID principles and distributed systems architecture. 

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

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

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

• Excellent verbal and written communication skills. 

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

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

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

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

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

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

#LI-GL1

About the Team 

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

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

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

About the Role 

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

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

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

What You’ll Be Doing 

Software Development 

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

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

Big Data Engineering 

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

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

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

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

API and Platform Development

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

• Maintain NoSQL Infrastructure including ScyllaDB and Aerospike

Collaboration & Mentorship 

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

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

We’re Excited If You Have 

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

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

• Strong understanding of SOLID principles and distributed systems architecture. 

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

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

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

• Excellent verbal and written communication skills. 

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

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

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

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

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

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

#LI-GL1

About the Team 

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

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

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

About the Role 

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

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

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

What You’ll Be Doing 

Software Development 

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

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

Big Data Engineering 

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

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

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

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

Collaboration & Mentorship 

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

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

We’re Excited If You Have 

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

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

• Strong understanding of SOLID principles and distributed systems architecture. 

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

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

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

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

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

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

• Exceptional verbal and written communication skills. 

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

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

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

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

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

About the Team 

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

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

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

About the Role 

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

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

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

What You’ll Be Doing 

Software Development 

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

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

Big Data Engineering 

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

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

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

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

Collaboration & Mentorship 

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

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

We’re Excited If You Have 

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

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

• Strong understanding of SOLID principles and distributed systems architecture. 

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

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

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

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

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

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

• Exceptional verbal and written communication skills. 

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

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

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

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

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

About the team

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

About the role 

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

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

What you’ll be doing

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

We are excited if you have

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

#LI-MS3

About the team 

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 

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

About The Role  

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

What You Will Be Doing 

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

We're Excited If You Have

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

#LI-AM3

About the team

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

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

About the role 

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

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

What you’ll be doing

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

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

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

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

We’re excited if you have 

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

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

#LI-MS3

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

About the Team 

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

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

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

About the Role 

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

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

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

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

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

• Automate onboarding, dashboards, alerting, and tracing. 

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

What We’re Looking For 

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

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

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

• Deep understanding of distributed systems and data models 

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

#LI-PA1

Staff Site Reliability Engineer

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

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

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

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

Why This Role

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

What Success Looks Like

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

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

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

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

Responsibilities

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

What we expect from you:

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

About 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.

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.

The Disaster Recovery & Capacity Manager directs 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, all while advising leadership and ensuring service level targets are met cost-effectively.

This position provides an excellent opportunity to influence the company’s direction on resilience and disaster recovery as part of the Platform Engineering team. The team works with a broad range of technologies. 

Your impact

You will :

• Work with Engineering and Service Management to drive the disaster recovery (DR) and capacity planning strategy, developing frameworks, policies, and procedures for both Cloud and Data Center environments.
• Establish and maintain the overall plans for executing all DR procedures and understand their interdependencies.
• Guarantee that all DR solutions are adequate, properly maintained, and regularly tested throughout their operational lifecycle, and take the lead in scheduling and conducting all DR exercises.
• Establish and maintain detailed DR communications and command and control plans through a change management process.
• 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 continuous feedback for risk management, mitigation, and prevention, while regularly reporting on all Disaster Recovery activities to stakeholders.
• Take responsibility for mentoring and managing team members to ensure skill development.

Your skills

• Strong background experience in IT operations and dedicated to capacity, disaster recovery operations and management.
• Demonstrated technical experience, ideally with exposure to some of the tools we use. An eagerness to learn is key in this position. 
• Understanding of current recovery solutions and high availability architectures for cloud and on prem is needed.
• Understanding of current Capacity Management & Planning scenarios and tooling.
• Experience mentoring or coaching engineers in technical roles.
• 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 of the operation of production-grade Kubernetes environments.

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

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

Your Impact

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

Your Skills

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

Bonus Points For:

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

We 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 Role

We are seeking an experienced Engineering Manager to join the leadership of our Core Functionality team. As one of several leaders on the team, you will be responsible for managing a high-performing team of engineers, driving technical excellence, and contributing to architectural decisions and technology strategy.

Key Responsibilities

• Lead and manage engineers; junior, mid-level, and senior.
• Champion engineering best practices, including code reviews, test development, and automated deployment processes.
• Build, mentor, and grow a high-performing engineering team through coaching and career development.
• Collaborate with product management to translate business requirements into technical solutions.
• Oversee the full development lifecycle, from planning and design to deployment and maintenance.
• Establish and monitor key engineering KPIs, focusing on flow metrics such as lead time, cycle time, and throughput to ensure predictability and efficiency.
• Drive continuous improvement in data engineering processes, tools, and methodologies.
• Manage technical debt and ensure the long-term health and scalability of our complex codebase.
• Foster a culture of curiosity, accountability, and technical excellence within the team.
• Provide regular reporting on team performance and project status to executive leadership.

Required Qualifications

• Strong software engineering experience on complex systems, including in an engineering management role.
• Strong hands-on experience with Java.
• Demonstrated success building and managing high-performance engineering teams.
• Excellent technical problem-solving and system design skills.
• Strong leadership abilities with experience in team building, mentoring, and performance management.
• Experience with Agile/Kanban methodologies and modern development practices.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications

• Deep experience with containerization technologies (Docker, Kubernetes).
• Experience implementing modern observability stacks (e.g., Prometheus, Grafana, ELK).
• Experience scaling engineering teams in fast-growing organizations.
• Knowledge of security best practices and compliance requirements.
• Advanced degree in Computer Science or a related field.

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

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

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

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

Your Impact

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

Your Skills

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

Nice to Have

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

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

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

Your impact:

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

Your Skills

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

Desirable

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

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

Key Responsibilities

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

Required Skills & Experience

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

Desirable Skills

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

Soft Skills

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

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

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

Your Impact

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

Your Skills

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

Bonus Points For:

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

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

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

Your Impact

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

Your Skills

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

Bonus Points For:

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

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

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

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

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

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

Your Impact  

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

 Your Qualifications 

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

Preferred Qualifications 

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

 What Makes This Role Exciting 

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

#LI-SP1

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

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

Your Impact  

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

 Your Qualifications 

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

Preferred Qualifications 

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

 What Makes This Role Exciting 

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

#LI-SP1

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

Senior DevOps/Platform Engineer (GCP)

Location: Manchester (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Shape the Future of Cloud Engineering in Financial Services

The Role

As a Senior DevOps Engineer at Capco, you’ll design and deliver scalable, automated, and secure cloud platforms that power the next generation of financial services. Working within cross-functional agile teams, you’ll drive the adoption of modern DevOps practices and continuous delivery frameworks that help our clients transform their technology landscapes.

You’ll work on both greenfield and enterprise-scale projects, spanning cloud-native, hybrid, and on-premise environments. This is an opportunity to deepen your expertise, gain certifications, and make a real impact in a collaborative, inclusive environment where your ideas are valued.

What You’ll Do

• Design and implement cloud-based infrastructure and CI/CD pipelines for internal and cloud platforms
• Drive improvements of developer productivity striving towards self-service platform engineering
• Automate and optimise deployment processes using infrastructure-as-code.
• Collaborate with engineering and product teams to enhance performance, reliability, and security.
• Drive continuous improvement through innovation and experimentation.
• Mentor junior engineers and contribute to Capco’s growing DevOps community.

What We’re Looking For

• Proven experience in platform engineering agnostic practises
• Ideally experience with developer productivity and platform engineering improvements with large scale data platform
• Experience with public cloud and ideally GCP
• Expertise in containerisation (Docker) and orchestration tools such as Kubernetes.
• Proficiency in Infrastructure as Code (Terraform, CloudFormation).
• Experience with scripting (Python, Groovy) to build and maintain CI/CD pipelines using Jenkins, CircleCI, or GoCD.
• Solid understanding of monitoring, automation, and configuration management tools (Ansible, Chef, Puppet, Helm).

Bonus Points For

• Experience in financial services or consulting projects.
• Hands-on knowledge of test orchestration (Cucumber, Karate, Selenium).
• Exposure to Kubernetes ecosystems (Istio, Kiali, Fortio).
• Experience migrating on-premise systems to cloud platforms.
• Interest in coaching and mentoring other team members.

Why Join Capco

• Deliver high-impact technology solutions for Tier 1 financial institutions.
• Work in a collaborative, flat, and entrepreneurial consulting culture.
• Access continuous learning, training, and industry certifications.
• Be part of a team shaping the future of digital financial services.
• Help drive transformation and innovation across Financial Services and Energy sectors.

We offer a competitive, people-first benefits package designed to support every aspect of your life:

• Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover. 

• Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders. 

• Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement. 

• Family Care: 8 complimentary backup care sessions for emergency childcare or elder care. 

• Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs. 

• Continuous Learning:  Your growth, your way - minimum 40 hours of training annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development. 

• Healthcare Access: Convenient online GP services. 

• Extra Perks: Gympass(Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance. 

Inclusion at Capco

We’re committed to a barrier-free, inclusive recruitment process. If you need any adjustments at any stage, let us know – we’ll be happy to help. We welcome applicants from all backgrounds. At Capco, we value the difference you make, and the differences that make you. Our #BeYourselfAtWork culture celebrates individuality, collaboration, and authenticity every day.

#LI-DNI