Available Locations: Austin, Seattle, London, Lisbon, Washington DC, Toronto

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

ETI’s Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability. While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable.

You’ll be joining a highly motivated team that is building the next generation of distributed storage services.

What You’ll Do

In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation. You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.

Examples of desirable skills, knowledge, and experience

• Strong programming skills with languages like Rust, Go, or Python
• A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
• Experience with distributed databases and storage systems
• Experience with infrastructure configuration tooling and infrastructure as code
• Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
• Experience building and maintaining high-throughput, low-latency systems
• Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
• Strong written and verbal communication skills and ability to explain technical decisions clearly
• Comfortable operating in fast-paced environments with tight deadlines and evolving priorities

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

Why Verifone

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

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

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

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

What’s Exciting About the Role

Verifone is seeking a Kafka DevOps Engineer to join our Platform Engineering team. This is an operations-first role with a strong emphasis on scripting, automation, and pipeline development. You’ll be hands-on with day-to-day Kafka operations, reliability, tuning, and high availability for payment gateway solutions that process billions of transactions annually on-prem and in AWS Cloud. Beyond keeping the lights on, you’ll play a key role in building the data pipelines—of which Kafka is a core component—that power Verifone’s new AI, machine learning, and analytics initiatives. You’ll also be part of an active effort to migrate Kafka and related services to Kubernetes, giving you hands-on experience with a meaningful infrastructure modernization project. The technology footprint is broad: Redis, MongoDB, PostgreSQL, MySQL, Snowflake, and more—so you’ll grow well beyond a single-technology niche.

Key Responsibilities

Kafka Operations & Reliability

• Manage and support Apache Kafka clusters (including MSK), Kafka Connect ecosystem, and KSQL for high-throughput, fault-tolerant messaging and event streaming pipelines.
• Monitor system health, set up alerts, and drive incident response and root cause analysis (RCA).
• Handle day-to-day operational tasks including offset management, lag monitoring, consumer group management, and cluster rebalancing.
• Perform routine cluster maintenance: upgrades, configuration changes, scaling, and health checks.

Scripting, Automation & DevOps

• Develop and manage automation scripts using Python and Shell scripting to reduce manual toil and improve operational efficiency.
• Design, implement, and maintain robust CI/CD pipelines for patching automation.
• Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or similar.
• Containerize and orchestrate workloads using Docker and Kubernetes, with the opportunity to help migrate Kafka and related services to Kubernetes.

Data Pipeline Development

• Build and optimize end-to-end data pipelines, with Kafka as a core streaming component alongside batch and ETL processes, enabling new AI, ML, and analytics use cases.
• Collaborate with development teams to implement best practices for data flow, security, scalability, and performance.
• Continuously identify and implement improvements to the software development lifecycle (SDLC).

Cloud & Infrastructure

• Manage cloud infrastructure on AWS (VMs, networking, storage, IAM, etc.).
• Support cloud migration tasks and assist in moving workloads between on-prem and cloud environments.

Required Qualifications / Skills

• 4+ years of overall engineering experience with 2+ years of hands-on experience supporting Kafka infrastructure in a large-scale production environment.
• Kafka Producer/Consumer microservices concepts and Kafka distributed architecture.
• Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk.
• Strong scripting and automation skills (Python, Bash) with a track record of reducing operational toil.
• CI/CD pipeline development and Infrastructure-as-Code experience (Terraform preferred).
• Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch).
• Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices.
• Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure).
• Strong communication and presentation skills with emphasis on executive communication.
• Flexible with regards to working shifts; on-call and weekends.

Preferred Skills (Highly Desired)

Data Engineering & Pipelines

• Data engineering skills including data analytics, data processing, ETL, and data lake technologies (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration).
• Experience with AWS data tools (Athena, Glue, Iceberg, Redshift, etc.).
• Exposure to Kafka Streams, Apache Flink, or similar stream processing frameworks.

Database & Caching Technologies

• Operate Redis deployments for caching, ephemeral state, queues/streams, and rate limiting use cases.
• Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals).
• MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore).

Infrastructure & Security

• Container/Kubernetes familiarity (deployments, stateful workloads, storage classes).
• On-prem experience (VMware/KVM, storage, networking).
• Security fundamentals: least privilege, secrets management, encryption-in-transit/at-rest concepts.
• Experience working with PCI (Payment Card Industry Data Security) standards.

What We Offer

• Direct impact on Verifone’s global payment infrastructure—your work keeps billions of transactions flowing reliably every year.
• Ground-floor involvement in building the data pipelines that will drive Verifone’s AI, machine learning, and analytics strategy.
• Hands-on participation in a Kafka-to-Kubernetes migration—a resume-building modernization project from day one.
• Multi-technology exposure—Kafka, Redis, MongoDB, PostgreSQL, MySQL, Snowflake—so you grow as a well-rounded platform engineer, not a single-tool specialist.
• Mentorship from senior engineers and Kafka architects with deep production experience.
• Clear career progression path from mid-level to senior and lead engineer.
• Funded certification paths—Confluent (CCDAK, Certified Administrator), AWS (Solutions Architect, MSK Specialty), CKA—plus budget for courses and technical conferences.
• Hybrid/remote working flexibility with a collaborative team culture.
• Competitive compensation with performance-based incentives.

Our Commitment

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

About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. 

Job Responsibilities:

• Firm-Wide Cloud Platform
  • Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks.
  • Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). 
  • Define compute placement strategies, including cluster placement groups and locality-aware scheduling.
  • Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely.
  • Own FinOps visibility and cost optimization frameworks across all trading and research workloads. 
  • Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. 
  • Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack. 
  • Mentor engineers and establish infrastructure standards that raise the engineering bar across teams.
• Cloud Migration (CME-GCP)
  • Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. 
  • Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). 
  • Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. 
  • Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations. 
  • Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace.
• Crypto Desk – Specialized Support
  • Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. 
  • Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. 
  • Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability.

Requirements:

• At least 5+ years of experience in a similar role in the industry
• Extensive hands-on experience with both AWS and GCP in performance-sensitive environments
• Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP
• Extensive experience with Terraform at scale
• Direct experience supporting electronic trading or low-latency systems
• Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams
• GCP & Cloud Migration
• Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes
• Working knowledge of GCP IAM, Organization Policies, and multi-project governance
• Understanding of multi-cloud networking patterns and cross-cloud security posture management
• Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure
• Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Why Verifone

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

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

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

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

What's Exciting About the Role

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

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

This hybrid role is open to hiring candidates located in:

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

Key Responsibilities

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

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

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

Required Qualifications/Skills

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

Preferred Skills (Not Mandatory)

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

Our Commitment

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

QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.
The AWS Cloud Engineering Team provide a scalable, performant and best practice platform for QRT’s application and core teams to utilize in deploying cloud native services. This team is critical in ensuring that applications are built on a strong AWS foundation from the perspective of governance, security and connectivity.

Your future role within QRT

We are seeking an experienced technologist to work within our AWS Cloud Engineering team to support the growth and maturation of our cloud network. The role is expected to involve the following activities:

• Develop and manage our complex global AWS network architecture
• Join a dynamic, fast-paced environment with extensive opportunity for personal growth
• Use infrastructure-as-code to ensure scale and consistency of the environment
• Use automated deployment to ensure that changes can be controlled in an appropriate manner
• Explore and onboard new AWS services and features as part of continuous improvement of the AWS platform
• Contribute to the ongoing improvement of our network governance and observability practices
• Ensure that traffic is observable in a usable fashion
• Develop strong, positive relationships with Security, IT and End User teams

Your present skillset

• 3+ years of experience in a cloud engineering role with a strong focus on AWS
• Solid understanding of Networking fundamentals including IPv4 subnetting, TCP/IP, BGP, DNS, HTTP and DHCP
• Good knowledge and experience of using AWS networking services to include: VPC, Transit Gateway, PrivateLink, Direct Connect and Route53
• Demonstratable experience in using Infrastructure as Code and programming languages such as Terraform and Python
• Ability to work independently to troubleshoot networking issues using AWS and/or 3rd Party tools
• Demonstrable ability to communicate and collaborate effectively as part of a wider team
• Desirable to have experience or a willingness to learn in the following areas:
  • Newer AWS Technologies: CloudWan, Route53 Profiles, Lattice
  • IP Address Management tooling such as AWS VPC IPAM or Infoblox
  • Load Balancing: GWLB, ALB, NLB, API Gateway
  • Security: Firewalls, Shield, WAF
  • Open Source and Third Party technologies to complement AWS tooling
  • Logging and Observability: Flow Logs, Cloudwatch, OpenSearch etc
  • IPv6 architectures on AWS

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in various liquid asset classes worldwide. The company uses a technology and data-driven approach to investing. By combining data, research, technology, and trading expertise, QRT adopts a collaborative mindset to address complex challenges. The company's culture of innovation aims to achieve high-quality returns for investors. 

Your future role within QRT: 

As a Windows Platform Server Engineer, you will be part of the Global Infrastructure Team, responsible for designing, building, and supporting Microsoft Windows Server and virtualization infrastructure. Your role is critical in ensuring the smooth operation of core technology services that underpin research technology, trading platforms, market execution, and data processing. 

Responsibilities: 

• Evaluate, recommend, and implement new technologies to enhance reliability, scalability, and security. 
• Build, manage, and deploy all technologies related to the on-premises Windows Server stack, including OS, observability, backups, and identity services. 
• Configure and maintain monitoring and dashboarding tools to track server and application performance. 
• Build, manage, and deploy Windows Server environments (2022–2025). 
• Build, deploy, and monitor a globally distributed, multi-forest Active Directory environment. 
• Manage and configure tools such as Splunk,  
• Configure and manage Active Directory, Group Policy, and Entra ID integration to enforce security and access policies. 
• Automate server management using PowerShell, Ansible, and Terraform for provisioning, configuration, and maintenance. 
• Optimise and troubleshoot server backups to ensure data integrity and disaster recovery readiness. 
• Utilise SIEM tools to monitor and manage server security and performance. 
• Work with storage technologies (SAN/NAS) to ensure efficient integration and high availability. 
• Build manage and deploy VMware ESXi services, clustering, infrastructure and network concepts. 
• Develop and maintain technical documentation, architecture designs, and support materials. 
• Solid understanding of networking concepts  
• Support and optimise Citrix DaaS, Azure, Microsoft 365, and Intune environments. 
• Provide 2nd-line support and act as 3rd-line escalation for all Windows Server and application-related issues. 
• Provide cross-functional troubleshooting support when required. 
• Stay informed about market trends and emerging technologies to identify strategic improvement opportunities. 

Your present skillset: 

• Extensive experience designing, deploying, and managing Windows Server environments, including large-scale enterprise migrations. 
• Strong expertise in Active Directory, Group Policy, and DNS design, implementation, and advanced troubleshooting. 
• Advanced PowerShell scripting skills for automation, OS builds, patching, and infrastructure optimisation. 
• Deep understanding of Windows Update processes, enterprise patch management, and security hardening best practices. 
• Experience with configuration management tools such as Ansible. 
• Experience with backup tools such as Veeam. 
• Experience managing cloud infrastructure, including AWS EC2 and Azure. 
• Strong troubleshooting expertise across Windows 10/11 client operating systems. 
• Solid cloud platform experience with Azure, Entra ID, Microsoft 365, and Intune. 
• Experience supporting and optimising Citrix DaaS / VDI environments. 
• Experience supporting and optimising ESXi environments. 
• Strong knowledge of networking concepts, certificate services (PKI), and infrastructure security. 
• Experience with performance monitoring and optimisation of Windows servers, desktops, and virtual machines. 
• Excellent communication skills with the ability to work independently, prioritise workloads, and contribute effectively to cross-functional projects 

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join the Windows Infrastructure team, responsible for building and operating Windows and end-user platforms with a strong focus on secure-by-design engineering across Azure, Microsoft 365, Intune, and Citrix VDI. You will work closely with Security stakeholders as the Windows and end-user platform security specialist.

Your Future Role within QRT

You will:

• Design, optimise, and enhance a highly available, scalable, and secure Windows-based platform across Microsoft Azure, Microsoft 365, Intune, and Citrix VDI
• Own and evolve the Citrix DaaS / Virtual Apps and Desktops platform, ensuring performance, availability, and security requirements are met
• Drive standardisation and platform hardening across Windows 10/11, VDI images, and cloud-hosted workloads
• Monitor and improve performance, reliability, and cost-effectiveness across Azure, Citrix, Microsoft 365, and Intune
• Act as the primary security point of contact for Windows and end-user platforms, partnering closely with Security stakeholders
• Embed secure-by-design principles into Windows, cloud, identity, and VDI platform engineering
• Implement and maintain endpoint and identity security controls, including Intune security baselines/configuration profiles, Conditional Access, Entra ID security controls, and device compliance/posture enforcement
• Implement Windows hardening standards using Group Policy, Intune, CIS/Microsoft security baselines, and privileged access controls
• Partner on vulnerability remediation, secure configuration, endpoint/identity/VDI incident response support, and audit/compliance requirements
• Ensure Windows Update, patching, and lifecycle management meet security and operational standards
• Develop and maintain automation and infrastructure-as-code using PowerShell, Terraform, ARM templates, and related tooling
• Automate build, configuration, compliance, and validation of Windows and Citrix platforms
• Reduce manual operations through repeatable, secure, and auditable engineering practices
• Provide senior-level troubleshooting across Windows, Azure, Citrix, identity, and endpoint platforms; act as an escalation point for complex issues
• Produce and maintain technical documentation, architecture designs, and operational runbooks
• Evaluate and recommend technologies and approaches to improve security, resilience, and scalability

Your Present Skillset

• Strong foundations in security engineering, with practical experience applying security controls in Windows and cloud environments
• Extensive experience with Microsoft Azure, Entra ID, Microsoft 365, Intune, and Windows 10/11 in an enterprise environment
• Extensive experience with Citrix DaaS and Virtual Apps & Desktops
• Strong background in Active Directory, Group Policy, DNS, and identity services
• Experience with Autopilot and modern endpoint deployment strategies
• Strong understanding of Windows patching, lifecycle management, and operational security
• Hands-on experience with Conditional Access and identity protection, device compliance/posture management, and secure configuration/hardening standards
• Advanced PowerShell scripting and automation skills
• Experience with Terraform, ARM templates, and configuration management tooling (e.g., Ansible, MECM)
• Experience with monitoring, alerting, and performance tuning across Azure and Windows platforms
• Clear communication and effective collaboration across Infrastructure and Security stakeholders
• Strong ownership mindset, balancing security, usability, and operational efficiency
• Strong documentation and technical design skills

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. 
 
The Network Engineering function is responsible for the design, reliability, and optimisation of QRT’s wide-area network. The team supports large-scale routing infrastructure and collaborates closely with stakeholders across operations, systems engineering, and automation to ensure robust connectivity for global research and trading activities.   

Your Future Role within QRT 
You will: 

• Design, build, and operate scalable, resilient infrastructure configuration and platform services 
• Develop and maintain CI/CD pipelines to enable efficient and reliable software delivery 
• Implement and evolve observability systems using OpenTelemetry (OTel), including distributed tracing, metrics, and logging 
• Troubleshoot complex system issues, perform root cause analysis, and implement long-term fixes 
• Automate infrastructure provisioning and configuration using scripting and infrastructure-as-code approaches 
• Work closely with engineers to improve system design, deployment processes, and runtime performance 
• Operate and optimise containerised environments and orchestration platforms (e.g. Kubernetes) 
• Take ownership of services and features from implementation through production support and continuous improvement 
• Collaborate with stakeholders to understand requirements and deliver effective technical solutions 

Your Present Skillset 

• Strong Linux systems expertise, including debugging and performance tuning 
• Solid networking knowledge (TCP/IP, DNS, firewalls, VRFs, VLANs, BGP) 
• Proficiency in Bash and Python for automation and tooling 
• Experience with Python web frameworks (e.g. Flask, Django REST Framework) 
• Experience building RESTful APIs 
• Hands-on experience with containerisation (Docker) and container orchestration (Kubernetes) 
• Experience with monitoring and logging stacks (Prometheus, Grafana, Loki) 
• Understanding of asynchronous and multi-threaded systems 
• Experience working with CI/CD systems in production environments 
• Familiarity with distributed systems and common reliability patterns 
• Ability to define and measure KPIs, SLAs, and SLOs 
• Strong communication skills and ability to work with both technical and non-technical stakeholders 
• Desirable: 
  • Familiarity with infrastructure-as-code tools (i.e. Terraform)  
  • Experience with cloud platforms (i.e. AWS)  
  • Knowledge of OpenTelemetry (OTel), including instrumentation, tracing, metrics, and observability pipelines  

 
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

The AWS Cloud Platform Engineering team designs and operates cloud-native platforms that support internal development teams across the firm. The team focuses on building and evolving an Internal Developer Platform that enables secure, automated, and self-service cloud capabilities. You will collaborate with Cloud Engineering, Security, and cloud users to improve developer experience and platform reliability.

Your Future Role within QRT
You will:

• Design, develop, and manage platform APIs to automate cloud workflows and enable self-service capabilities
• Build backend services in Go and/or Python to support automated provisioning and platform functionality
• Write and maintain automated tests to ensure safe and reliable execution of platform workflows
• Contribute to platform observability, including logging, monitoring, and tracing
• Build and operate services on Kubernetes (EKS)
• Collaborate with Cloud Engineering, Security, and internal users to deliver scalable and secure platform capabilities
• Contribute to architectural and technical decisions as the platform evolves

Your Present Skillset

• 5+ years of experience as a Platform Engineer or in a similar role with a focus on AWS
• Strong programming skills in Python and/or Go, with experience writing production-grade code
• Experience designing and developing RESTful APIs
• Experience writing and maintaining automated tests
• Experience with workflow or orchestration tools such as Temporal or AWS Step Functions
• Experience building and operating services on Kubernetes (EKS)
• Solid understanding of cloud architecture and distributed systems fundamentals
• Experience with Infrastructure as Code tools such as Terraform
• Familiarity with CI/CD pipelines and automation practices
• Strong communication skills and ability to collaborate effectively across teams

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

The Enterprise Infrastructure team is responsible for designing, operating, and evolving QRT’s global enterprise technology platforms. The team ensures the reliability, security, and scalability of core infrastructure services that support corporate systems, identity platforms, collaboration tools, and shared technology services across regions.

Your Future Role within QRT

• Define and drive the enterprise infrastructure roadmap aligned with firm-wide technology strategy
• Lead the design and evolution of highly available, secure, and scalable on-prem infrastructure platforms (compute, storage, network, virtualization)
• Own operational resilience, including high availability, backup, disaster recovery, and business continuity frameworks
• Establish and oversee SLAs, SLOs, operational KPIs, and incident governance processes
• Drive automation initiatives across provisioning, patching, compliance, and monitoring
• Promote Infrastructure-as-Code and standardization across global environments
• Partner with Security to enforce hardening standards, vulnerability management, and access controls
• Collaborate with Application, Workplace Technology, Architecture, and Risk teams on enterprise initiatives
• Lead and mentor infrastructure engineers across regions
• Manage vendor relationships, lifecycle planning, and infrastructure capacity management

Your Present Skillset

• 10+ years’ experience in enterprise infrastructure engineering, including leadership responsibility
• Broad knowledge of Linux and/or Windows systems administration
• Broad knowledge of virtualization platforms, enterprise storage, networking, and core infrastructure services
• Proven experience operating global enterprise platforms (e.g., identity services, collaboration tools, file services)
• Hands-on experience with automation frameworks (e.g., Terraform, Ansible) and scripting (e.g., Python, Bash, PowerShell)
• Strong understanding of monitoring, logging, and observability practices
• Experience operating within regulated or controlled environments
• Demonstrated ability to lead distributed teams and drive infrastructure transformation initiatives
• Strong ownership mindset with a structured and risk-aware approach to decision-making
• Clear communicator and excellent collaborator, with the ability to engage both technical and business stakeholders
• Experience leading modernization or large-scale infrastructure refresh programs is a plus

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

The Enterprise Infrastructure team is responsible for designing, operating, and evolving QRT’s global enterprise technology platforms. The team ensures the reliability, security, and scalability of core infrastructure services, including enterprise networking, that support corporate systems, identity platforms, collaboration tools, and shared technology services across regions. You will work closely with Infrastructure, Security, Workplace Technology, and Architecture teams.

Your Future Role within QRT
You will:

• Define and drive the enterprise network strategy aligned with firm-wide technology objectives
• Lead the design, implementation, and evolution of global enterprise network infrastructure (LAN, WAN, Wi-Fi, data centre, and cloud connectivity)
• Own network availability, performance, and resilience, including redundancy, failover, and disaster recovery capabilities
• Establish and manage network SLAs, SLOs, performance metrics, and incident response processes
• Drive automation across network provisioning, configuration management, and compliance
• Promote Infrastructure-as-Code and standardisation of network configurations across environments
• Partner with Security teams to enforce network segmentation, access controls, and secure design principles
• Collaborate with Application, Workplace Technology, and Architecture teams on connectivity and integration requirements
• Lead and mentor network engineers across regions, setting standards and best practices
• Manage vendor relationships, including network hardware, telecom providers, and service partners
• Oversee capacity planning, lifecycle management, and continuous improvement of network platforms

Your Present Skillset

• 10+ years’ experience in network engineering, including leadership responsibility in enterprise environments
• Strong expertise in enterprise networking technologies (routing, switching, TCP/IP, DNS, DHCP)
• Experience with WAN technologies, including MPLS, SD-WAN, and internet-based architectures
• Hands-on knowledge of data centre and campus network design (e.g., spine-leaf, high availability architectures)
• Experience with network security principles (segmentation, firewalls, VPNs, zero trust concepts)
• Familiarity with cloud networking (e.g., AWS, Azure, or GCP connectivity and hybrid network design)
• Experience with automation and scripting (e.g., Python, Ansible, Terraform) applied to network infrastructure
• Strong understanding of network monitoring, observability, and performance optimisation tools
• Proven experience operating global network environments with high availability requirements
• Experience working within regulated or controlled environments
• Ability to lead distributed teams and drive network transformation initiatives
• Structured, risk-aware approach to decision-making with strong ownership
• Clear communication skills and ability to engage with both technical and business stakeholders

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join the Cloud Infrastructure team in London. The team designs, builds, and operates cloud platforms that support trading and research workloads, including digital asset and crypto-related systems. The team works closely with development, trading, and operations teams to deliver secure, reliable and scalable cloud solutions.

Your Future Role within QRT

• Design and implement deployment strategies for applications on AWS in collaboration with development, trading and operations teams
• Drive the adoption of CI/CD practices to automate and streamline software delivery
• Develop and maintain monitoring solutions to ensure availability, performance and reliability of cloud-based applications
• Work with developers to enhance application scalability, reliability and security in cloud environments
• Provide operational support and troubleshooting for issues related to cloud deployments and infrastructure
• Evaluate and introduce new tools and technologies to improve efficiency of DevOps processes
• Act as a liaison between engineering and business teams to facilitate effective communication and collaboration

Your Present Skillset

• Extensive experience with AWS services and infrastructure (e.g. EC2, S3, VPC and related components)
• Proficiency in scripting languages such as Python or Bash for automation
• Strong understanding of CI/CD principles and experience with pipelines using tools such as Jenkins or GitLab CI
• Experience with infrastructure-as-code tools such as Terraform, CloudFormation or AWS CDK
• Hands-on experience with distributed computing systems and processing large datasets
• Practical experience with containerisation and orchestration (e.g. Docker, Kubernetes)
• Good understanding of Linux systems, including networking and performance optimisation
• Familiarity with time synchronisation concepts and protocols such as NTP or PTP
• Strong communication and collaboration skills, with the ability to work effectively across teams and departments

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

You will join a development team building a new platform for managing and interpreting investment trade ideas from external contributors. The system is designed to enhance visibility into global equity opportunities and improve the firm’s ability to assess risk and reward. You’ll work on a real-time, always-on application, delivering iteratively in close collaboration with internal stakeholders. This is a fast-paced environment where technical ownership and user feedback shape the evolution of the platform.

Your future role within QRT

• Build a real-time application for capturing and analysing investment trade ideas from external sources

• Design and operate a high-availability system with continuous data ingestion and processing

• Deliver iterative improvements in close collaboration with end users and stakeholders

• Own architectural and design decisions with an eye on long-term business outcomes

• Contribute to the evolution of the tech stack in line with platform needs and QRT-wide engineering standards

Your present skillset

• 2+ years of experience as a software engineer

• Expertise in C# or a similar compiled, strongly typed, object-oriented language; willingness to work in C# is essential

• Strong communication and collaboration skills, with the ability to align development with business priorities

• Comfortable gathering requirements from stakeholders and collaborating with the team to ship features

• The following would be beneficial:

  • Experience working in a trading or front-office environment

  • Knowledge of distributed systems, observability, and system design principles

  • Exposure to AWS and infrastructure-as-code tools such as Terraform

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

The Role: Platform Engineering Manager (Cloud Foundations)

Location: London / Hybrid (2 days per week in office) 

Reporting to: Head of Technology Operations

The Role 

 Rightmove’s Cloud Foundations team delivers the secure, reliable, scalable and cost‑optimised platform foundations used by hundreds of engineers and dozens of mission‑critical services. As we ensure safe, low friction delivery of core services and operate at scale, the Engineering Manager will lead a team providing cloud platforms and infrastructure, cloud security, governance, automation, and operational excellence.  

This position blends people leadership, cloud operations, platform engineering, security governance, and FinOps. The successful candidate brings deep operational experience in product‑led technology companies and understands how to run cloud foundations as a modern internal platform. 

Key Outcomes for This Role 

Strategy, Delivery and Execution 

• Through working with your team, key stakeholders, and the platform product manager, we provide a cloud platform strategy and roadmap that aligns to Rightmove business goals and our internal customer’s needs.  

• The team provides accurate estimates and realistic plans. 

• The platform roadmap, initiatives/projects, and OKRs are well managed and delivered in line with expectations. 

People Leadership & Team Development 

• Through coaching and mentoring engineers, setting clear, achievable development goals and provides actionable feedback, they improve skills, confidence, and impact. 

• Individual growth plans align with team objectives and organisational priorities. 

• Engineers are supported to designing and delivering scalable, secure, resilient platform services without micromanagement. 

• Achievements are recognised and rewarded, performance issues are addressed early and fairly.  

• There is an inclusive, psychologically safe environment; with leadership tailored to individual strengths and motivations. 

Platform Engineering, Operations & Reliability 

• Cloud platform and key services are reliable, incident detection and resolution are smooth due to proactive monitoring, well‑maintained alerts/logs, and complete observability coverage. 

• Platform resilience and DR planning/testing strategy is defined and operational, working across the business with validated requirements and outcomes. 

• Backup, restore and resilience mechanisms are regularly tested, ensuring the platform can recover predictably. 

• Incident management processes are consistently followed, including timely post‑incident reviews (PIRs) and completion of follow‑up actions. 

• On‑call is well staffed, sustainably operated, and fosters a healthy on‑call culture. 

• Automation (AI‑driven or traditional) delivers increased speed, reduced toil, and enhanced reliability. 

• Support requests are triaged and responded to promptly, with prioritisation based on upstream impact. 

• Capacity and cloud spend are effectively managed—no incidents caused by under‑provisioning, and costs are controlled by avoiding unnecessary over‑provisioning. 

• Finops culture is embedded with tooling and process across product development teams 

• Vendor relationships are managed, supplier due diligence is completed on time, contract costs and SLAs are negotiated as needed. 

• Continuous improvement culture is embedded: teams regularly evaluate performance, reliability and cost efficiency, feeding learnings back into the platform. 

Governance, Guardrails & Security 

• Infrastructure‑as‑Code, Policy‑as‑Code and automated guardrails accelerate delivery while strengthening governance and consistency across the platform. 

• Secure software delivery practices and policies are followed, vulnerabilities are managed within SLAs, Platform configuration standards are maintained (CIS Benchmarks). 

• Cloud security policies, governance standards and privacy controls consistent with predefined roles, least‑privilege IAM patterns and role-based access practices are implemented and followed 

• The organisation meets regulatory, contractual and audit obligations, maintaining documentation, policies and process evidence for compliance reviews 

• Secure cloud configurations, WAF policies, bot protection, and cloud‑native security tooling are maintained. 

• Architecture diagrams for network and key components are maintained for audit, security, knowledge sharing purposes. 

What you’ll bring  

• Proven experience in cloud operations and platform engineering management, overseeing cloud infrastructure and platforms, monitoring, reliability, and service delivery in production environments. 

• Previous hands‑on experience running large cloud-based website environments with GKE, service mesh, load balancers, CDN/WAF, Kafka, Elasticsearch. 

• Strong understanding of cloud services including networking, compute, storage, containerisation, security and IAM. 

• Experience with IAC, python, Go, CI/CD, Terraform, Kubernetes, modern ops tooling and DevOps workflows. 

• Demonstrated experience implementing security controls, IAM policies, and cloud governance frameworks.  

• Familiarity with platform engineering concepts including developer platforms, reusable platform components and enabling internal product teams. 

• Experience improving operational processes and developing documented procedures (monitoring, DR, incident response, upgrade processes). 

• Strong leadership, team management, collaboration and communication skills, aligned with expectations for managing technical cloud teams.  

• Experience designing scalable, reliable cloud platform architectures, consistent with Cloud  

Location: London / Hybrid (2 days a week in the office) 
Reporting to: Platforms Engineering Manager

The role 

As a Platform Engineer in our Cloud Foundations team, you will play a crucial role in designing, implementing and maintaining our cloud infrastructure on Google Cloud Platform (GCP). You'll be responsible for ensuring the scalability, security, and reliability of our cloud environment, enabling Rightmove to deliver innovative solutions efficiently and cost-effectively. This is a team focused on setting standards rather than fighting fires, defining cloud governance, controls and guardrails so developers can deploy confidently on a secure, audited platform. You’ll work closely with database engineers and the security team, shaping cloud foundations and helping developers understand how the platform works; from Kubernetes through to core cloud concepts. The role balances building and evolving the platform with light-touch support, handling rare incidents, and focusing on making the platform more resilient for the future.

For a glimpse into the technical make-up of the UKs favourite property portal works, head to our tech blog.

• Designing and building secure, scalable cloud infrastructure on GCP that supports our products as they grow
• Helping move legacy and on‑premise workloads into the cloud, and improving things along the way
• Automating how our infrastructure is built and managed using Terraform, so we can move faster and more reliably
• Running and evolving our container platforms using GKE and Helm
• Shaping how our cloud networking works, including load balancing, CDNs, API gateways, and service mesh
• Making sure our platforms are secure, resilient, and aligned with cloud security best practices
• Setting up and maintaining monitoring, logging, and observability so issues are easy to spot and fix
• Keeping an eye on performance and spend, and finding smart ways to optimise both
• Digging into complex infrastructure problems and working with others to resolve them

• Hands‑on experience working as a cloud infrastructure engineer, ideally with a strong focus on GCP
• Confidence using Infrastructure as Code, especially Terraform
• Experience building and running containerised workloads using Docker and Kubernetes (GKE)
• Exposure to service mesh technologies and how they support modern platforms
• A solid understanding of networking and how it all comes together in the cloud
• Experience using CI/CD pipelines (such as GitLab CI) to deploy and manage infrastructure
• Comfort working with at least one programming or scripting language in an infrastructure context
• Experience with secrets management, monitoring, logging, and observability tooling
• A good grasp of cloud security principles and compliance considerations
• Practical experience optimising cloud costs and using resources effectively

It’d be great if you also had (but it’s not essential):

• Experience with event‑driven or microservices architectures, such as Pub/Sub or Kafka
• Exposure to tuning or operating search or data platforms like Elasticsearch
• Familiarity with serverless concepts and when they make sense
• Experience improving infrastructure performance and reliability
• An understanding of AI/ML infrastructure needs on GCP
  

Our approach to AI: 
At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind.

The role

We are seeking a hands-on and experienced Infrastructure Engineering Manager to join our growing IT team. This role is central to the evolution and operational performance of our infrastructure estate, ensuring it remains secure, resilient, scalable, and aligned to business needs. You'll play a key role in shaping and delivering infrastructure strategy across cloud, core enterprise platforms, connectivity, and end-user environments, with a strong focus on technical direction, platform improvement, and operational excellence.

We’re looking for someone who is comfortable providing technical leadership, supporting delivery teams, leading operational improvements, and engaging with senior stakeholders across both technology and the wider business.

As part of a multi-skilled technology function, you will work closely with Product Managers and Delivery Managers to shape priorities, support OKRs, and ensure successful delivery of both strategic change and BAU activity.

This is a key role with significant influence on the future direction of our technology landscape.

What you’ll be doing ·

• Provide hands-on technical leadership: Lead the ongoing development, standardisation, and modernisation of our corporate infrastructure estate across cloud and enterprise platforms. Contribute to solution design, problem solving, automation, platform improvement, and the resolution of complex technical challenges.
• Cloud and platform management: Drive the effective adoption and operation of our cloud platforms and related infrastructure services, ensuring solutions are robust, well-governed, and operationally sustainable.
• Own operational performance and BAU delivery: Ensure the effective day-to-day operation of infrastructure services, including monitoring, patching, lifecycle management, incident response, continuity, and continual service improvement.
• Drive delivery and prioritisation: Work closely with Product Managers and Delivery Managers to shape OKRs, prioritise work, and deliver infrastructure change, projects, and service improvements alongside BAU commitments.
• Stakeholder engagement and translation: Build strong relationships across technology and the business, translating technical issues, risks, and opportunities into clear, practical language for non-technical and senior stakeholders.
• Improve engineering practices: Contribute to the development of standards, automation, and modern ways of working to improve consistency, efficiency, and quality across the infrastructure estate.

We’re looking for someone with

• Significant experience in IT infrastructure, spanning cloud, networking, and modern secure access technologies
• Strong expertise in Microsoft Azure, including infrastructure services, networking, identity, governance, and operational management
• Strong hands-on experience with automation and infrastructure-as-code tooling such as Terraform, Ansible, and PowerShell
• Experience working in or supporting high-performing infrastructure teams, contributing to technical direction and delivery in fast-paced environments
• Strong understanding of infrastructure security, hardening, monitoring, resilience, compliance, and operational best practice
• Strong stakeholder management skills, with the ability to communicate effectively with stakeholders at all levels
• Excellent problem-solving skills and the ability to take ownership of complex infrastructure challenges from design through to resolution
• The ability to adapt to a rapidly changing environment and manage multiple priorities effectively

What you’ll bring to the role

• A strong track record of hands-on infrastructure engineering and technical leadership in complex environments
• Deep knowledge of both cloud and enterprise infrastructure, including servers, networking, identity, storage, and modern device management 
• Strong experience of infrastructure modernisation, particularly in Microsoft Azure-led environments 
• Experience balancing strategic change, operational improvement, and BAU service ownership 
• A strong understanding of IT security practices and experience working alongside security teams to ensure infrastructure is resilient and compliant 
• The ability to lead across a broad technology remit, operating effectively in Agile ways of working while remaining delivery-focused and outcome-driven 
• Strong communication and interpersonal skills, with the ability to translate between technical and non-technical stakeholders 
• A collaborative leadership style, with the ability to develop people, build trust, and drive high standards across the team 
• A hands-on approach to infrastructure engineering, with an emphasis on operational efficiency and automation

Role: Data Engineer

Location: London office / Hybrid (2 days per week in the office)

Reporting to: Head of Data Engineering

The Role

Millions of people visit the Rightmove website every month. We have a huge amount of data about how people use the site, and what this means to our customers.

You’ll be joining our growing Data Engineer & Infrastructure team - a collaborative, high-performing group of engineers that uses this data to build the infrastructure that powers the UK’s favourite property site.

This is a hands-on engineering role, where you will implement and maintain the technical foundations on a modern GCP based data platform: from writing robust Python and SQL, to deploying infrastructure with Terraform, and ensuring our pipelines are reliable, secure, and efficient.

You take pride on executing the delivery of data engineering to the highest standards: building and maintaining batch and streaming data pipelines, managing ingestion and egress processes, supporting the analytics data layer that drives and powers all our reporting and insights to power our Products across the entire business.

This is an opportunity to join an inclusive, tight knit, high calibre engineering culture. Deepen your technical experience with a modern GCP stack, and apply your data engineering expertise to a platform used by millions every day.

What You’ll Be Doing

• Build and manage data pipelines that ingest, transform, and serve data across the business
• Contribute to the design and implementation of cloud-based infrastructure using Terraform
• Work on complex data challenges, balancing short-term delivery with long-term platform evolution
• Collaborate with data product owners and stakeholders to collect and refine data requirements
• Optimise data storage, infrastructure performance, and cost within our data platform
• Support the analytics data layer by enabling clean, reliable data for downstream use in Looker and BigQuery
• Collaborate with analytics engineers, analysts, and data scientists to support their data use cases
• Contribute to the evolution of our self-serve data platform and the implementation of our data strategy
• Participate in agile ceremonies, including sprint planning, refinement, and retrospectives
• Promote and practice excellent data and cloud engineering best practices, including testing, documentation, and observability
  
  

We're Looking For Someone Who

• Has 3–5 years of proven experience in data engineering, working on production-grade data pipelines and infrastructure within a large-scale, cloud-based data platform
• Has worked in a complex organisation with a mature or evolving data platform (e.g. BigQuery, Looker)
• Has strong Python coding skills and is confident writing complex SQL queries
• Has demonstratable experience, using Terraform to successfully manage infrastructure as code in a large scale platform
• Has hands-on experience with GCP (BigQuery, GCS, Dataflow, Cloud Composer) or AWS (Redshift, S3, AWS Glue)
• Experience with dbt and understands data modelling principles and best practices
• Deep understanding of data storage, modelling, and orchestration concepts
• Has demonstratable experience setting up and managing data pipelines end-to-end
• Brings a collaborative and curious mindset, and enjoys working in cross-functional teams
• Optimistic, curious and gets excited by tech, enjoys keeping up with current trends. Actively gets involved and enjoys contributing to tech events
• Is proactive, communicative, and comfortable contributing to technical discussions and design decisions
• Experience working with version control (Git) and CI/CD practices
• Awareness of data quality, privacy, and security best practices
• Knowledge of GDPR and data security best practices, as well as frameworks for testing, monitoring, and alerting in relation to data pipelines

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role

As a Senior Software Engineer you will provide technical leadership to the group responsible for architecting, developing, and owning Addressability part of the Zeta Marketing Platform. You will collaborate with Engineers, Product Managers and Executives across the organization to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment. 

This position will be responsible for the design and development of realtime systems of The Zeta Marketing Platform and LiveIntent, working on technology that enables access to core of Identity Solutions. You will mentor an organization of developers through your knowledge sharing sessions that will guide and strengthen their knowledge.
You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and passion about working with large amounts of data and designing reliable low-latency data processing systems. 

This is a hybrid role based out of our London, UK office

Essential Responsibilities:

As a Senior Software Engineer, your responsibilities will include:

• Building, refining, tuning, and maintaining our real-time infrastructure
• Designing, developing and maintaining services responsible for data collection and real-time data processing
• Working with Product Managers to design and build data products
• Working with our DevOps team to scale and optimize our infrastructure
• Participate in architecture discussions, influence the road map, take ownership and responsibility over new projects
• Participating in on-call rotation (be available by phone or email in case something goes wrong)

Desired Characteristics:

• Minimum 4 years of software engineering experience.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• 2+ Years of Experience/Fluency in Scala/Java
• Proficient with both relational and NoSQL databases
• Experience working with container-based solutions is a plus.
• Experience in adequate usage of libraries such as ZIO, Akka, Play Framework is a plus
• Experience in adequate usage of cloud services (AWS) at scale
• Experience in adequate usage of Terraform
• Proven long term experience and enthusiasm for distributed data processing at scale, eagerness to learn new things.
• Expertise in designing and architecting distributed low latency and scalable solutions in cloud.
• Exposure to the whole software development lifecycle from inception to production and monitoring.
• Experience in Advertising Attribution domain is a plus
• Experience in agile software development processes
• Excellent interpersonal and communication skills

BENEFITS & PERKS

• Excellent medical, dental, and vision coverage

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-NP1

Your impact 

As a Senior Security Engineer, you will architect and manage the security of our groundbreaking ML-based platform and High Performance Computing (HPC) infrastructure. This role requires a highly proactive problem-solver who enjoys a fast-paced environment and possesses the curiosity to dive into diverse technical challenges. 

You will act as a versatile, T-shaped engineer, overseeing security solutions from initial requirement gathering to final implementation. By combining deep technical know-how with strong collaborative skills, you will ensure our security posture evolves as quickly as our research, managing the end-to-end lifecycle of our defense systems.

What you will do

• Secure Architecture and Product Engineering: Participate in the design and perform security reviews of our evolving AI platforms and underlying HPC infrastructure.
• Infrastructure as Code (IaC) Security: Partner with our DevOps / SRE team to harden our cloud infrastructure and our network, ensuring security by design, automation and auditability through Policy as Code.
• Third Party Systems Secure Integration: Perform deep-dive technical assessments of third-party platforms, AI solutions, Cloud or SaaS providers and support secure integration or deployment.
• Secure CI/CD: Design and implement automated security controls within our CI/CD pipelines to ensure code is secure from commit to production without slowing down research velocity.
• Threat Modeling & Risk Assessment: Conduct proactive threat modeling and risk assessment, support teams in the implementation of remediation plan and audit expected outcomes.
• Incident Response: Act as a L2/L3 escalation point for the remediation of complex vulnerabilities and security incidents.
• Identity & Access Management: Implement our state-of-the-art Zero Trust framework, ensuring robust access control and consistent enforcement of the principle of least privilege.
• Risk Management and Compliance Automation: Bridge the gap between technical controls and regulatory requirements (GDPR, GxP, EU AI Act) by automating evidence collection and risk posture monitoring (CSPM).
• Security Tooling Development: Build or integrate custom internal tools that automate repetitive security tasks, shifting our operational load from manual toil to scalable engineering.
• End-to-End Solution Delivery: Manage the full lifecycle of security controls, from initial user needs analysis and requirements gathering to structured testing and phased implementation and communication, ensuring high-quality deployment followed by data-driven continuous improvement.

Skills and qualifications 

Essential

• Cloud Engineering Proficiency: Deep technical knowledge of cloud platform security (GCP preferred) including Network and VPC design, IAM policy construction, Cloud resources hardening and Cloud native security services.
• Analytical Risk Management and Problem Solving: Proficiency in assessing multi-faceted risks and decomposing complex security issues into manageable tasks and providing data-driven recommendations to stakeholders.
• Coding Skills: Ability to write small production-grade code (e.g. in Python) and to automate security tasks, build custom tooling, etc.
• DevSecOps Tooling: Hands-on experience with Infrastructure as Code (Terraform) and version control systems (GitHub) to manage security configurations.
• Container Security: Proven ability to secure containerized workloads (Kubernetes/Docker), focusing on image signing, runtime protection, and orchestration security.
• Network Security Fundamentals: Solid understanding of modern networking, including zero-trust architecture, encryption in transit (TLS/mTLS), and API gateway security.
• Identities and Access Management: Proficiency in implementing a state of the art IAM strategy both from an organisational and technical standpoints in a multi-tenant cloud environment.
• Collaborative Security Culture: Strong ability to support researchers in AI and Drug Discovery, leveraging excellent listening skills, to provide pragmatic advice that balances high-security requirements with business agility.
• Adaptability & Communication: Excellent soft skills with the ability to navigate an ambiguous, high-growth environment and explain technical risks to non-security audiences.
• Offensive Mindset: Strong understanding of the MITRE ATT&CK framework and the ability to think like an adversary to identify "blind spots" in our defense.

Nice to have

• AI/ML Security Interest: Familiarity with the unique security challenges of an AI first company and other common AI solutions such as LLMs.
• Regulated Industry Experience: Prior experience working in BioTech, Pharma where data integrity and regulatory compliance are paramount.
• Advanced Security Certifications: Holding industry-recognized credentials such as GSE, OSCP, CISSP or professional-level Cloud Security Engineer certifications.
• Application Security (AppSec): Experience with SAST/DAST/SCA tools and a strong understanding of the OWASP Top 10 vulnerabilities.
• Zero Trust Implementation: Past success in transitioning an organization away from traditional perimeter-based security toward a mature Zero Trust model.
• SecOps Maturity: Experience building or scaling a Security Operations Center (SOC) or a Modern Detection and Response (MDR) function.
• Collaboration Tool Mastery: Advanced experience securing and automating SaaS. In particular, Google Workspace, the Atlassian stack (Jira/Confluence), Slack.
• Bio-Pharma Experience: Prior exposure to GxP validation, clinical trial data protections, or the nuances of Lab-IT security.
• Privacy Engineering: Knowledge of PETs (Privacy Enhancing Technologies) like differential privacy or homomorphic encryption.

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens.

In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets.

Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about.

If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story.

About Us

The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT.

Our Commitment to Diversity, Equity and Inclusion

We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups.

The Role Overview

We’re looking for a Senior Cyber Security Engineer to help mature application and cloud security across the FT’s cloud-native, AWS-hosted technology estate. This role has an approximate 50/50 focus across application security and cloud security, working closely with product, platform and engineering teams to make secure delivery easier by default.

You’ll shape and improve developer-friendly guardrails across GitHub-based CI/CD pipelines, AWS environments and infrastructure-as-code workflows. This includes improving SAST, software composition analysis, secret scanning, IaC scanning, vulnerability management and AWS misconfiguration management so that findings are actionable, low-noise and owned by the right teams.

Day to day, you’ll run practical threat-modelling sessions, review application and cloud designs, improve security playbooks, support vulnerability and misconfiguration remediation, and build automation that reduces toil. We’re looking for someone who has demonstrably improved security outcomes in real engineering environments, not just someone with theoretical knowledge of tools or frameworks.

Depending on team structure, you may also mentor or line-manage one or two security engineers, while remaining hands-on and close to the technical work.

What you’ll bring to the role

Application and cloud security experience: practical experience across both application security and cloud security, ideally in AWS-hosted, cloud-native environments.

Developer-friendly security mindset: you know how to work with engineers, explain risk clearly and design controls that help teams move securely without unnecessary friction.

Vulnerability management at scale: experience improving how application vulnerabilities, dependency risks, bug bounty findings, penetration test findings and advisories are identified, prioritised, owned and remediated across engineering teams.

Cloud misconfiguration & vulnerability management: experience identifying and reducing infrastructure-as-code and AWS vulnerabilities & misconfigurations at scale through pragmatic guardrails, tooling and clear remediation paths.

Threat modelling: confidence running lightweight, practical threat-modelling sessions that lead to useful engineering decisions and risk reduction.

CI/CD and code security: hands-on experience with security tooling such as SAST, software composition analysis, secret scanning and IaC scanning.

Automation mindset: ability to write scripts or small tools, ideally in Python, to reduce toil, improve visibility and surface meaningful risk.

Security leadership: ability to mentor other security engineers and influence engineers across the wider organisation. Depending on team structure, this may include line management.

AI security awareness: experience of leveraging AI to improve and scale appsec and cloud sec controls would be useful, but is not essential.

Key Responsibilities

Improve application security guardrails
Tune and evolve SAST, software composition analysis, secret scanning and related controls so they are actionable, low-noise and useful to engineering teams.

Improve cloud and IaC security guardrails
Help identify, prioritise and reduce AWS and infrastructure-as-code misconfigurations and vulnerabilities at scale.

Drive vulnerability management
Improve how application vulnerabilities, dependency risks, bug bounty findings, penetration test findings and third-party advisories are triaged, prioritised and remediated.

Drive cloud misconfiguration management
Help teams understand, own and remediate cloud security issues using pragmatic, developer-friendly workflows.

Run practical threat modelling
Facilitate lightweight threat-modelling sessions for new products, features, services and architectural changes.

Build automation and tooling
Create or improve scripts, integrations, dashboards and workflows that reduce manual effort and make risk easier to understand.

Support secure architecture decisions
Provide application and cloud security input into design reviews, AWS architecture decisions and larger technical changes.

Partner with engineering teams
Work closely with product, platform and software engineering teams to embed security into design, delivery and operational practices.

Support incidents and lessons learned
Provide application and cloud security expertise during incidents and feed lessons learned back into patterns, tooling and guidance.

Mentor others
Coach security engineers and engineering teams on practical security approaches. Depending on team structure, this may include line management of one or two security engineers.

Required Experience, Essential: 

• Strong practical experience in application security and cloud security, ideally with a balanced focus across both.
• Hands-on AWS security experience, including common misconfiguration patterns and practical remediation approaches.
• Experience improving vulnerability management across engineering teams, including prioritisation, ownership, remediation tracking and noise reduction.
• Experience in improving cloud or IaC misconfiguration management at scale in a developer-friendly way.
• Experience integrating, tuning or improving security tooling in CI/CD workflows, such as SAST, software composition analysis, secret scanning or IaC scanning.
• Experience running practical threat-modelling sessions that influence design, delivery or remediation decisions.
• Ability to write scripts or small tools, ideally in Python, to automate security workflows or improve visibility.
• Strong communication and collaboration skills, with the ability to influence engineers and technical leaders without relying on gatekeeping.
• Evidence of improving application security, cloud security or vulnerability management practices in a real engineering environment.
• Familiarity with Agile or Scrum ways of working.

Desirable

• Experience with leveraging AI for AppSec and CloudSec.
• AWS Certified Security – Speciality or equivalent practical AWS security experience.
• Terraform or CloudFormation expertise.
• Incident-management or incident-response experience.
• Experience with Splunk or similar logging/SIEM platforms.
• Experience with security metrics, dashboards or reporting that helped drive measurable risk reduction.
• Experience mentoring or line-managing security engineers.

What’s in it for You?

Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here.

We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible.

Accessibility

We are a disability confident employer and Valuable 500 signatory.

Please let us know if you require any reasonable adjustments/personalisation as part of the application process or to enable you to attend an interview. If you would like to discuss your requirements or have any questions, email talent@ft.com and a member of our team will be happy to help.

Further information

At the FT, we embrace innovation and the use of technology and appreciate that individuals may leverage AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is essential that all information provided is authentic and accurately represents your skills, experience, and qualifications.

Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all.

Scopely is looking for an Engineer to serve on and elevate our new casual game, Monopoly GO! team and work from the UK.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.    

MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide.

What You Will Do

• Working closely with feature owners, the game design team and other development teams to implement new features within a feature team
• Work with game client developers to implement networked communications between game client and server
• Design and develop our game server and associated tools and libraries, with a focus on performance, scalability and consistency
• Write automated, high-quality tests (unit, integration etc.) and work with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Implement tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences 

What We're Looking For   

• 3+ years as part of a professional game development team or other relevant area
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Mastery of Unity and  C# or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Knowledge of Unix-like operating systems
• Experience with Redis (or other database systems), ORMs and migration scripts
• Ability to write efficient low-latency, low-IO code
• Good understanding of how to prevent intrusions, injections, cheating etc.

Bonus Points 

• Familiar with highly available back-end systems and servers for games
• AWS, Docker, Terraform, Kibana, Chef, Ansible
• Experience with automated testing
• Experience with stateful and stateless game server architectures

The Rubrik Engineering team is comprised of people who produce extraordinary results. Our engineers are driven to build efficient, reliable, and cost-effective products. We believe in empowering our teams, giving engineers autonomy and responsibility, not just tasks. Our goal is to motivate and challenge you to do the best work of your career. As part of the Rubrik Engineering team, you will work closely with product managers, designers, and other engineers to define the next generation of products for Rubrik. At Rubrik, nothing will stop you from thinking big. We are looking for individuals who are comfortable with ambiguity and excited by the prospect of a challenge. If you have a positive attitude, high energy and limitless drive, and like to win, we want to talk to you.

Job Overview

The Cloud Solutions Architect is a key sales specialist role, supporting the broader sales organization with deep technical knowledge in a focus area. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solutions Architect will have an active role in providing real world feedback to product teams to enhance the product, testing new features before they are released, and helping educate the sales organisation on key components of their focus area technology. The Solutions Architect provides both immediate and long-term impact with their technical knowledge and position of influence with prospects and customers.

Responsibilities and Duties

• This is a remote work position with approximately 50% travel for onsite meetings (as required).
• Provide technical guidance in customer facing calls as required, both in person and remote.
• Expert level knowledge in primary hyperscalers (AWS, Azure, GCP) including authentication, authorization, networking, security, services, workloads, etc.
• Acts as a strategic advisor on Cloud Native architecture and DevOps; evangelist in automation using Infrastructure as Code and platform-native self-service capabilities.
• Ability to conduct in depth sales discovery and alignment of technical capabilities to customer pain
• Serve as a cloud subject matter expert, covering cloud-centric opportunities and enabling the sales team to effectively promote and sell cutting-edge cloud solutions.
• Assist with technical implementation or validation of the product.
• Work closely with sales teams from initial discovery through technical validation of the Rubrik solution.
• Creating and giving presentations for technical enablement of the systems engineers
• Work with product management and engineering to discover and address product gaps, providing real world knowledge on product use.
• Attend internal meetings and events as required, both in person and remote.

Qualifications

• Bachelor's degree or equivalent.
• 5+ years of experience in their focus area.
• A solid understanding of backups, high availability, and disaster recovery architectures for their focus area.
• Knowledge of common Identity Providers (Entra, AD, Okta), architecture and integration
• Scripting experience in a relevant language (Python, PowerShell, Bash, etc.)
• Experience with Terraform and other tools strongly preferred
• Ability and experience giving technical presentations ranging from small to large audiences
• Ability to self-manage time and projects.

Available Locations: Netherlands, United kingdom, Germany, Portugal, France, Sweden

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team. 

What you'll do as a Solutions Architect

The Solutions Architect is a senior technical leadership role. You are a customer facing hands-on technologist with credibility built on domain expertise across Cloudflare portfolio.  You should have solid experience in influencing enterprise architecture design across various senior buyer personas both at customers and partner organizations. Your role will be to convince these decision makers of the long term value of thinking of Cloudflare as a strategic technology partner. 

You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. Your goal of customer success should drive you through the entire organization as you seek out and create scalable solutions for your customer’s needs.

You will work as a part of a highly visible structured pursuit team attached to designated strategic accounts, working to understand their unique business challenges and priorities with a goal of defining short and long term solution architecture with Cloudflare as a centerpiece. An equally important component of this role is the expectation that you scale your expertise and knowledge across the wider Pre Sales Solution Engineering organization.

Specifically, we are looking for you to:

• Build and maintain the long term technical relationship of key accounts, ensuring the successful design, proof and adoption of Cloudflare as a part of the customers critical infrastructure.
• Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the business, and further establishing our footprint within the customers landscape.
• Be the voice of the customer, engaging and influencing Product Management and Product Roadmap to serve their needs. 
• Demonstrate your expertise of Cloudflare within your field through the creation of professional content, including white papers, reference architectures, blog posts.
• Represent and Evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices.

Desirable skills, knowledge and experience

• 7+ years of experience in similar role or experience in a technical leadership role
• Previous experience as a solution architect, consultant or technical marketing engineer building, architecting or deploying security solutions
• Good understanding of AI, security challenges and its applicability to today’s enterprise landscape
• Proven track record using it to help drive revenue.
• Strong knowledge of Security Architecture, Design and Operations
• Working knowledge of the broader threat landscape and the ability to distill technology trends, and explain complex behaviors in simple terms
• Proven experience working with customers and partners in successful design and deployment of solutions
• Ability to juggle and successfully drive projects with customers, prospects, and partners.
• Experience with cloud computing solutions implementations including Microsoft 365, Azure, Google, AWS.
• Experience with Application, Security, Performance and Reliability products such as WAF, Bot Management, DDOS, Firewall, DNS and CDN.
• Knowledge of competitive market  around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions, SSE/SASE
• Proven hands-on experience with information security solutions such as Web Proxy, NGFW, Security Gateways, SIEMs, SAML/SSO, DLP, Data security and protection technologies such as HSM, Tokenization & encryption gateways.  
• Experience working with Identity Providers such as Entra AD, Okta, Ping, OneLogin, etc.
• Knowledge of web application programming XML, REST/SOAP API’s, REST, JSON,
• Experience in cloud computing based services architecture, technical design and implementations including Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS) delivery models.
• Knowledge of scripting languages such as Python and IAC products like Terraform
• Knowledge of security and cryptography.
• Knowledge of cloud/virtualization technologies and containerization

Catapult is building the future of sports performance technology, with a mission to Unleash the Potential of every athlete and team on earth. We don't just work in the sporting industry; we are actively changing it.  Since 2006, our solutions have been leading the way in sports performance software, science, and data, in a world where 1% can literally mean the difference between winning and losing.

We work with over 5,000+ teams around the world, empowering coaches, managers and trainers in premier teams in the NFL, NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize athletes’ health, game-day readiness, and performance, as well as in-game tactics.  

Catapult is a sports technology company that empowers professional teams to make data-driven decisions. We deliver health, performance, video, and AI insights from the locker room to competitive environments, ensuring every decision is an opportunity to gain an advantage, sharpen performance, and build lasting success. 

WE WANT PEOPLE WHO ARE PASSIONATE ABOUT PLATFORM ENGINEERING

We are looking for a talented and inquisitive Principal DevOps Engineer whose drive for learning and determination for continuous improvement aligns with our ambitious, fast-growing and transforming company. Based in our London office, you will be a key player in planning, designing, building and testing the features of our next-generation cloud platform that combines digital video assets, wearable data and athlete information to provide insights and analytics to coaching/support staff, sports scientists and athletes to assist in optimizing athlete performance. We believe that our customers deserve the best platform and we are on a mission to maximize and enhance their performance through delivering a high-quality experience. Our software and DevOps engineers match this ethos by taking responsibility for constantly improving productivity and development of self and be able to excel in a fast-paced environment with short project timelines from conception to deployment.

WHAT YOU’LL DO 

• Cloud & Platform Engineering
• Infrastructure Automation & IaC: Own infrastructure provisioning and configuration management (e.g., Terraform, Ansible).
• Observability & Reliability: Design, build and maintain logging, monitoring, alerting, and SLO/SLI frameworks to ensure system health and performance.
• Software Delivery Pipelines: Design, implement, and maintain CI/CD pipelines to enable fast, safe, and repeatable software delivery.
• Infrastructure Operations & Governance: Oversee the availability, scalability, and performance of cloud and on-prem infrastructure while ensuring all systems remain strictly aligned with corporate security standards and global regulatory compliance.
• Cloud Security 
• Cloud Security & Compliance: Ensure compliance with relevant compliance and regulatory frameworks (e.g., ISO 27001, SOC 2, GDPR as applicable) and implement best practices cloud security controls.
• Security Operation: Lead security first approach, collaborate with Security and IT teams to make sure our infrastructure is patched according to SLAs.
• Application Security (AppSec): Collaborate with security teams to embed security controls into CI/CD pipelines and platform services.
• Technology leader
• Architectural Roadmap & Vision: Define and execute the long-term technical roadmap for Catapult’s global cloud platform, evaluating emerging technologies (e.g., Serverless, AI-driven operations, and Containerization) to ensure the infrastructure remains cutting-edge, scalable, and best to used by our customers.
• Technical Governance & Standards: Be a big contribution to  infrastructure decisions, establishing "Golden Paths" and reusable Infrastructure as Code patterns that dictate how engineering teams deploy services while ensuring consistency across all environments.
• Strategic Security & Compliance Integration: Architect and champion a "Shift-Left" security strategy, mandating the integration of automated security guardrails and compliance auditing into the core fabric of the CI/CD pipelines to protect athlete and video data globally.

WHAT YOU’LL NEED

• Significant experience in DevOps, Site Reliability, Platform or Infrastructure Engineering, with tenure in technical leadership role.
• Deep expertise in the AWS cloud platform and associated security and compliance practices.
• Strong background in infrastructure automation (IaC), CI/CD pipelines, and observability tooling.
• Proven experience with big platform re-design, architecture of new cloud infrastructure systems based on software and business requirements.
• Solid understanding of AppSec principles, including integrating security into build and deploy pipelines.
• Experience managing hybrid environments, including traditional data centers and on-prem services.
• Excellent communication and stakeholder management skills; ability to influence across engineering, security, and finance.
• Experience with regulated industries (e.g., healthcare, fintech).
• Familiarity with multiple compliance frameworks (SOC 2, HIPAA, PCI-DSS).

WHAT YOUR SUCCESS WILL LOOK LIKE

In 6 months time…

By the half-year mark, you will have moved beyond the onboarding phase to become the primary authority on Catapult’s infrastructure.

• Infrastructure Ownership: You will fully own the cloud infrastructure, having gained a deep understanding of all interconnected parts that support their athlete and video data services.
• Established Automation: You will have taken control of infrastructure provisioning and configuration management, ensuring that Terraform or Ansible are being used effectively for IaC.
• Observability Implementation: You will have designed and begun maintaining essential logging, monitoring, and SLO/SLI frameworks to ensure high system health and performance.
• Have a full understanding of Catapult’s products and the way we are working in order to be able to architect any new future existing or new product.

In 12 months time…

By the end of your first year, you will be driving the "next generation" of Catapult’s technology stack and leading cross-functional improvements.

• End to End Platform Ownership: You will take full accountability for the evolution of our production ecosystem, architecting a resilient, "deploy-anywhere" infrastructure that scales seamlessly with software demands and business growth.
• Optimized Delivery: You will have refined the CI/CD pipelines to a state where software delivery is consistently fast, safe, and repeatable across the engineering team.
• Integrated Security and Compliance: You will have transitioned the platform to a "security-first" architecture, successfully embedding automated AppSec controls and vulnerability scanning directly into the CI/CD pipelines.
• Cross-Departmental Influence: Your success will be reflected in your ability to influence stakeholders across engineering, security, and finance to drive technical and operational improvements.

WHY CATAPULT? 

• We have amazing people. We promise you’ll work with some of the most ambitious,  intelligent people in an exciting industry, and do some of the best work of your life.
• We encourage our people to engage in constructive, open, and honest communication to make Catapult extraordinary. 
• We work in a collaborative yet challenging environment to consistently improve our performance, which in turn impacts our customers' performance.
• Our workforce spans more than 20 countries. You'll have the opportunity to work with people from multiple nationalities and cultures, and to build your global awareness.  
• We value improvement and development. We are challenging ourselves to continuously grow and become a high-performance company. That means we maintain a growth mindset in everything we do, and our people are always looking for ways to improve.  There is an unlimited opportunity to grow, do more, and do better.

Whether you’re interested in sports or not, you’ll have the satisfaction of knowing your work is supporting some of the most successful teams and athletes on the planet! 

Research shows that while men apply for jobs when they meet an average of 60% of the criteria, women and other marginalized groups tend only to apply when they check every box. So if you have what it takes, but don't meet every single point in our job ad, please still get in touch! We would love to have a chat and see if you could be a great addition to our team. We are building the future of sports performance. Our priority is to find the brightest talent who can add to our team culture, actively contribute, and be excited about what they do.

All offers of employment are subject to Catapult's positive prehire check. To find out more, please contact the Talent Partner for this role.

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

As a Senior Software Engineer focused on content storage infrastructure domain you will be responsible for innovating and maintaining Contentful’s underlying storage infrastructure and adjacent services. You will work on the very foundation of Contentful that our teams build on top of, but also have the opportunity to directly impact our customers’ experience with scalability and performance features.

You’ll join a team of thoughtful, collaborative engineers who support each other, share knowledge freely, and work closely with teams across domains. If you’re someone who thrives on responsibility and takes pride in building highly scalable and reliable systems that enable others - this might be the right place for you.

The team is placed in the infrastructure group.

What to expect?

• You’ll further design and develop our content storage infrastructure is foundational to the billions of requests we are serving today
• You’ll work with AWS using Terraform and Infrastructure-as-Code best practices
• You’ll collaborate closely with teams in the content storage and delivery domains
• You’ll develop and maintain services written in Typescript and Go
• You’ll help us stay ahead of operational risks - anticipating bottlenecks or failure points before they cause problems.

What you need to be successful?

• Proven experience in software development and systems engineering experience
• Strong understanding of relational database engines (preferably PostgreSQL)
• Thorough AWS knowledge across core services: RDS, S3, Lamda, SNS/SQS
• Terraform and Kubernetes expertise
• Kafka experience is a plus
• Proficiency in at least one modern programming language (Typescript, Go)
• Experience with observability stacks (metrics, logs, tracing) and tools like Splunk and DataDog
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Ability to work effectively in a team environment
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.
• Excellent English communication skills, verbal and written (German not required).
• A collaborative mindset: you're helpful, respectful, and enjoy sharing knowledge
• Ability to context switch, work through ambiguity, and contribute across multiple workstreams
• You lead by example, mentor others, and embrace a culture of safe experimentation and continuous improvement

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package health/dental/vision care package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

Contentful is experiencing rapid growth, and we're on the lookout for a driven Senior Platform Engineer to join our Core DataTeam. In this pivotal role, you'll be at the heart of our data operations, collaborating with developers and internal stakeholders to create cutting-edge tools for data customers while maintaining a highly adaptable platform.

What to expect? 

• Software Development
• Lead the design, development, testing, and deployment of scalable and maintainable software solutions for our data platform.
• Collaborate with cross-functional teams to understand requirements and translate them into technical specifications.
• Data Orchestration
• Architect and implement systems for efficient data orchestration, ensuring optimal performance and reliability.
• Work closely with the Platform Engineers to integrate new technologies and tools into the data platform ecosystem.
• Performance Optimization
• Identify and address performance bottlenecks in the data platform, ensuring optimal data processing and access speed.
• Implement monitoring and alerting systems to proactively identify and resolve issues.
• Problem-Solving
• Daily challenges related to data management, performance optimization, and security.
• Responsibility
• Substantial impact on the stability and performance of Contentful's Data Platform.
• Continuous Learning
• Staying updated with emerging technologies and industry trends is encouraged for your professional growth.
• Collaboration
• You'll work closely with a collaborative team of developers and stakeholders to achieve shared goals.
• Supportive Culture
• Contentful cultivates a supportive culture where team members help each other succeed and innovate through collaboration.

Your role as a Senior Software Engineer at Contentful promises dynamic challenges, collaboration, personal growth, and a supportive team environment. Join us for an exciting journey!

What you need to be successful?

• You have 5+ years of Engineering experience
• You have proficiency in cloud technologies (AWS preferred)
• You have proficient coding skills in Python, (Golang & TypeScript are a plus)
• You are proficient with Infrastructure as Code, Terraform (Terragrunt is a plus)
• You are proficient in CI/CD tools, setting up complex workflows with a focus on CircleCI 
• You have knowledge of Kubernetes & Docker & Helm
• You are experienced with Git
• You have experience with streaming services
• Desirable skills: You are familiar with Apache Airflow and/ or AWS Redshift

You possess strong skills in communication, problem-solving, collaboration, diversity appreciation, and full professional English proficiency, enabling effective and inclusive interactions in diverse contexts.

If you believe we're a good fit but don't meet all the points, please reach out to us. We value diverse perspectives and welcome your unique skills and experiences. Let's explore the possibilities together.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

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 Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. 

Job Responsibilities:

• Firm-Wide Cloud Platform
  • Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks.
  • Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). 
  • Define compute placement strategies, including cluster placement groups and locality-aware scheduling.
  • Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely.
  • Own FinOps visibility and cost optimization frameworks across all trading and research workloads. 
  • Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. 
  • Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack. 
  • Mentor engineers and establish infrastructure standards that raise the engineering bar across teams.
• Cloud Migration (CME-GCP)
  • Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. 
  • Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). 
  • Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. 
  • Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations. 
  • Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace.
• Crypto Desk – Specialized Support
  • Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. 
  • Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. 
  • Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability.

Requirements:

• At least 5+ years of experience in a similar role in the industry
• Extensive hands-on experience with both AWS and GCP in performance-sensitive environments
• Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP
• Extensive experience with Terraform at scale
• Direct experience supporting electronic trading or low-latency systems
• Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams
• GCP & Cloud Migration
• Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes
• Working knowledge of GCP IAM, Organization Policies, and multi-project governance
• Understanding of multi-cloud networking patterns and cross-cloud security posture management
• Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure
• Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Soho, London

Hybrid working: 3 days in the office Tues - Thurs

The Role

We are seeking a Data Engineer to join our Data Team, playing a vital part in building the complex, scalable systems that power our data strategy. You will be at the heart of architectural discussions, influencing system design and delivering the high-quality data solutions that bring millions of fans closer to the sports they love. This is a fantastic opportunity to tackle the challenge of optimising our data platforms for real-time AI/ML workloads, mentor talented junior engineers, and make a significant impact on our business. 

At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top.

We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition. As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users.

We know that job descriptions can sometimes seem daunting, and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you! 

Key Responsibilities 

• Contribute significantly to critical system design decisions, helping to architect data solutions that support real-time workloads.
• Partner with cross-functional teams to translate intricate business needs into effective and innovative data solutions.
• Mentor and provide expert technical guidance to junior engineers, fostering a culture of continuous learning and growth.
• Design data systems to solve problems and improve reliability & cost-effectiveness. 
• Develop and maintain robust, secure integrations with core internal systems and critical third-party platforms. 
• Implement advanced monitoring and alerting, to ensure high system reliability and minimal downtime. 

Skills, Knowledge and Experience 

• You have expert-level proficiency in a core programming language like Python, Java, or Scala, with an emphasis on AI/ML data processing.
• You possess experience with cloud data services and technologies, ideally within the GCP ecosystem (e.g., Dataflow, Pub/Sub, BigQuery, Vertex AI).
• Experience with Airflow environment management and Docker 
• You can clearly and concisely explain intricate technical concepts to both technical and non-technical stakeholders.
• You have extensive experience designing and optimising both real-time and large-scale batch data processing frameworks.
• You have a proven ability to deploy and maintain data infrastructure using Infrastructure as Code (IaC) principles with tools like Terraform.
• You can demonstrate the application of data governance, privacy, and security best practices in a regulated environment.
• You are a proactive and curious problem-solver, skilled in anticipating and resolving system inefficiencies.
• You work seamlessly with cross-functional teams, translating complex requirements into robust data solutions.
• You take full responsibility for the quality, reliability, and performance of the data solutions you help create. 

What can we offer? 

• Fridays Off: Say goodbye to Friday meetings and hello to a three-day weekend! This benefit is part of a trial, to be reviewed in 2026
• Company Performance Bonus
• Flexible Working Agreements where applicable
• Private Healthcare Scheme + Employee Enhanced Assistance
• Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay
• Subsidised Gym Membership
• Annual Travel Card Loan & Ride to Work Scheme
• Life Assurance (x3 salary)
• Contributory Pension Plan
• Virgin Family: Giving you access to exclusive Virgin offers and experiences
• Thursday drinks in the office and regular socials

About the role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major CSPs and our own datacenters, stand up and scale clusters from thousands to hundreds of thousands of hosts, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic’s frontier AI research.

Key responsibilities

• Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair
• Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families
• Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity
• Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others
• Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational excellence practices (incident response, postmortem culture, on-call)
• Support the growth of engineers around you through technical mentorship and coaching

Minimum qualifications

• Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
• Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium)
• Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications

• 8+ years of software engineering experience, including time as a technical lead setting direction for a team
• Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency
• Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines
• Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons
• Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads.
• Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems
• Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

About the role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.

Key responsibilities

• Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
• Partner across teams to ensure new compute capacity is ingested on time
• Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
• Collaborate with security owners to ensure clusters are provisioned secure-by-default
• Define and drive strategy on cluster scalability, homogeneity and fault tolerance
• Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
• Support the growth of engineers around you through technical mentorship and coaching

Minimum qualifications

• Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
• Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications

• 8+ years of software engineering experience, including time as a technical lead setting direction for a team
• Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
• Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
• Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
• Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
• Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
• Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

Who we are

The Role 

Much of our work takes place in high-security on-premise environments, and we are looking for Site Reliability Engineer to support our high security environments.

Your role as a Site Reliability Engineer will be to design, implement, and manage our on-premise Kubernetes infrastructure.

We are looking for engineers with a strong work ethic and prioritisation skills. We value team players who communicate clearly, share knowledge generously, and collaborate effectively to move their team — and our mission—forward. 

The day-to-day

• As a SRE, you will design and build cloud-native infrastructure platforms on-premises, focusing on Kubernetes-based solutions that enable our development teams to operate services at scale.

• You will create robust observability frameworks using Grafana, Prometheus, and distributed tracing to ensure system reliability and performance

• You will architect and implement secure, multi-tenant Kubernetes clusters with strong access controls, policy-as-code governance, and zero-trust networking between red and black network domains. You will develop operators and controllers to automate infrastructure provisioning and compliance

• You will build and maintain MLOps platforms enabling AI researchers to deploy, monitor, and scale machine learning models in production.

• You will collaborate closely with our Security teams to implement supply chain security, container scanning, and runtime protection across our cloud-native stack

Key Skills 

• Scripting: experience in either Python, Go, Rust or Bash/ Shell for automation and tooling  

• Experience with GitOps workflows and CI/CD automation

• Kubernetes Expertise: deep experience operating production Kubernetes clusters, writing custom controllers/operators, and implementing service mesh architectures (Istio/Linkerd)

• Cloud-Native Technologies: hands-on experience with CNCF ecosystem, e.g. including Helm, ArgoCD, Flux and container runtime security tools like Falco

• Observability Stack: expert-level knowledge of Grafana, Prometheus, Loki, Tempo, and OpenTelemetry. Experience building custom dashboards, alerts, and SLI/SLO frameworks

• Networking: Expert understanding of networking concepts, protocols and security

• MLOps Platforms: experience with Kubeflow, MLflow, or similar platforms

• Infrastructure as Code: proficiency with Terraform, Ansible, and Kubernetes manifest templating. Experience with policy-as-code tools like OPA/Gatekeeper

• System Administration: deep understanding of Linux/Unix system administration and highly available, distributed systems

• Comfortable building out data and telemetry pipelines for debugging and future-proofing solutions

You should apply if you

• Have a high level of personal integrity, reliability, and attention to detail

• Have a software engineering mindset with a passion for building platforms and tools that multiply developer productivity

• Have experience running cloud-native workloads in on-premises or air-gapped environments

• Are willing to relocate to Munich, London, or Berlin.

Note: We operate at an intersection where women, as well as other minority groups, are systemically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications;  ability and impact cannot be summarised in a few bullet points.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

ABOUT THE TEAM

The Multinational Digital Infrastructure team is responsible for designing, deploying, and sustaining the sovereign and multinational systems that power Anduril’s global Maritime and AUKUS missions. As a Cloud Engineer, you will design and implement cloud environments that enable Anduril to effectively operate sovereign programmes in the U.K. and Australia, as well as expanding to other nations as Anduril’s global presence increases. You will work across engineering, security, and product teams to ensure our digital infrastructure is secure, scalable, and ready to support emerging mission demands.

WHAT YOU’LL DO

• Design, deploy, and maintain enterprise cloud landing zones, security and infrastructure tooling.
• Collaborate with teams across the U.S. and Australia to enable secure connectivity between other sovereign cloud environments.
• Partner with government customers, authorizing officials (AOs), cybersecurity teams, and policy shops to accelerate accreditation, break through legacy barriers, and unlock access for cross-nation engineering teams.
• Implement infrastructure automation (IaC), observability tooling, and secure configuration baselines to support scalable, repeatable environment builds.
• Work closely with product, autonomy, Lattice, and Maritime engineering teams to integrate infrastructure capabilities with platform development, testing, and deployment workflows.
• Act as a technical leader during environment standup, troubleshooting, and validation events; ensure classified systems perform reliably in support of mission-critical needs.
• Support development of next-generation secure architectures for multinational development, data sharing, and mission system integration across Maritime platforms.
• Serve as a technical representative during customer events, exercises, and operational demonstrations to ensure infrastructure readiness and mission success.

REQUIRED QUALIFICATIONS

• Ability to obtain and maintain a UK security clearance to SC level - see UK Security Vetting’s guidance pack for further details.
• Bachelor’s degree in STEM field or equivalent engineering experience.
• Technical depth in one or more: cloud infrastructure, secure networking, systems engineering, DevSecOps, platform architecture, cybersecurity, identity & access management. Specific technology will include:
• Cloud - AWS, Azure
• Infrastructure as Code - Terraform, CloudFormation
• SCM - GitHub Enterprise
• CI/CD - CircleCI, Gitlab
• IDAM + SSO - Okta, AWS Identity Center
• 8+ years of relevant engineering, infrastructure, or technical program execution experience.
• Willingness to travel domestically and internationally as required - typically around 10%.

PREFERRED QUALIFICATIONS

• Experience with secure systems engineering, ideally within UK Government or Defence. Experience in other highly regulated industries may also be relevant - for example Financial Services, Energy or Healthcare.
• Experience provisioning large enterprise cloud platforms for hundreds or thousands of users.
• Experience designing or maintaining distributed systems, secure networks, or infrastructure supporting autonomy, AI/ML, or big data workloads.
• Demonstrated ability to work across technical disciplines, influence without authority, and operate in ambiguous and fast-paced environments.
• Experience working with international partners or navigating multi-nation technical or policy workflows.

Hudson River Trading (HRT) is seeking a Windows Systems Engineer to join our Enterprise Engineering team. In this role, you will help scale HRT’s global hybrid Windows deployment and develop automation, configuration-as-code, and infrastructure-as-code solutions to seamlessly manage fleets of top-of-the-line user endpoints, mission critical servers, cloud infrastructure, and secure remote computing environments around the world. You will apply configuration-as-code practices to reduce operational overhead, build PowerShell-based systems that improve platform stability and resilience, and enhance the reliability of our Windows platform by designing and implementing automation that identifies and resolves technical inefficiencies across on-premises and Azure infrastructure.

The ideal candidate is a Microsoft-based technology engineer and eager problem solver who is comfortable working in a fast-paced environment. Terrific communication and collaboration skills, as well as a positive attitude towards team members and internal customers, are crucial to success within this role. 

Responsibilities

• Leverage configuration-as-code paradigms to reduce the operational overhead of managing Windows infrastructure
• Use infrastructure-as-code to consistently configure Microsoft Azure resources
• Develop PowerShell-based systems to automate operational tasks and enhance the reliability of the Windows platform
• Leverage automation to identify and remediate technical inefficiencies across Windows endpoints, Windows infrastructure, and Microsoft Azure resources
• Participate in ongoing engineering, maintenance, and support efforts to improve the Windows environment

Qualifications

• 10+ years of experience as a Microsoft-based technology engineer
• Experience using Ansible (or similar configuration-as-code tool) to manage a fleet of Windows devices
• Proven ability to provision Microsoft Azure resources with Terraform
• Proficiency with Microsoft Graph API development
• Experience developing scripts and tools using PowerShell
• Familiarity with Microsoft Intune, Autopilot, Entra ID, and Active Directory
• A general design approach that incorporates security best practices, business continuity, high availability, and scalability
• A self-motivated and driven work ethic

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Senior WAN Engineer with experience designing, deploying, and scaling high-capacity WAN to support our evolving HPC research and algorithmic trading application requirements.

The WAN Engineering Team designs and engineers the Global Wide Area Network (WAN) Infrastructure that supports our massive HPC data centers as well as our trading infrastructure globally. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects our globally distributed, large-scale on-prem data centers and trading colos, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

Responsibilities

• Strategic network design, product selection, routing, configuration and troubleshooting for our next-generation WAN
• Work closely with our Networks and HPC Systems teams, among others, to scale our WAN to meet HRT’s evolving research and trading application requirements
• Overall capacity planning for the Data Center WAN
• Implement fully programmatically-driven network architectures using Python and configuration management tools (e.g., Ansible, Terraform, Saltstack)
• Collaborate with others in the network team to solve cross-disciplinary problems
• Analyze traffic patterns and optimize bandwidth usage
• Provide detailed documentation 
• Mentor others as a senior resource 

Qualifications

• 10+ years of relevant experience with carrier-scale global WAN design
• Proven ability to prioritize workloads and manage implementation schedules with  meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field
• Strong cross-functional collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes
• Strong expertise in:
• Advanced BGP (BGP-SR, MP-BGP, BGP-LU, Extended Communities, UCMP), eBGP Route Server
• Segment Routing (SR-MPLS, SR-TE, BGP Prefix SID, Flex-Algo, TI-LFA, Fast Re-route)
• MPLS (LDP, RSVP-TE)
• OSPF/IS-IS
• QOS in WAN Environments
• Network and QOS Telemetry
• Multi-WAN vendor expertise (Arista, Cisco, Juniper, Other)
• Packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks such as AWS, GCP, or Azure
• Unix/Linux command line utilities and networking stack
• Familiarity with Prometheus, Grafana, ELK is desirable
• Optical OLS/DWDM experience is desirable 

Hudson River Trading (HRT) is seeking a Windows Systems Engineer to join our Enterprise Engineering team. In this role, you will help scale HRT’s global hybrid Windows deployment and develop automation, configuration-as-code, and infrastructure-as-code solutions to seamlessly manage fleets of top-of-the-line user endpoints, mission critical servers, cloud infrastructure, and secure remote computing environments around the world. You will apply configuration-as-code practices to reduce operational overhead, build PowerShell-based systems that improve platform stability and resilience, and enhance the reliability of our Windows platform by designing and implementing automation that identifies and resolves technical inefficiencies across on-premises and Azure infrastructure.

The ideal candidate is a Microsoft-based technology engineer and eager problem solver who is comfortable working in a fast-paced environment. Terrific communication and collaboration skills, as well as a positive attitude towards team members and internal customers, are crucial to success within this role. 

Responsibilities

• Leverage configuration-as-code paradigms to reduce the operational overhead of managing Windows infrastructure
• Use infrastructure-as-code to consistently configure Microsoft Azure resources
• Develop PowerShell-based systems to automate operational tasks and enhance the reliability of the Windows platform
• Leverage automation to identify and remediate technical inefficiencies across Windows endpoints, Windows infrastructure, and Microsoft Azure resources
• Participate in ongoing engineering, maintenance, and support efforts to improve the Windows environment

Qualifications

• 10+ years of experience as a Microsoft-based technology engineer
• Experience using Ansible (or similar configuration-as-code tool) to manage a fleet of Windows devices
• Proven ability to provision Microsoft Azure resources with Terraform
• Proficiency with Microsoft Graph API development
• Experience developing scripts and tools using PowerShell
• Familiarity with Microsoft Intune, Autopilot, Entra ID, and Active Directory
• A general design approach that incorporates security best practices, business continuity, high availability, and scalability
• A self-motivated and driven work ethic

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Hudson River Trading (HRT) is seeking a Senior WAN Engineer with experience designing, deploying, and scaling high-capacity WAN to support our evolving HPC research and algorithmic trading application requirements.

The WAN Engineering Team designs and engineers the Global Wide Area Network (WAN) Infrastructure that supports our massive HPC data centers as well as our trading infrastructure globally. Our mandate is to architect, optimize, and scale the high-performance LAN and WAN infrastructure that interconnects our globally distributed, large-scale on-prem data centers and trading colos, enabling them to grow rapidly and operate at peak performance in support of HRT’s demanding computational workloads. 

Responsibilities

• Strategic network design, product selection, routing, configuration and troubleshooting for our next-generation WAN
• Work closely with our Networks and HPC Systems teams, among others, to scale our WAN to meet HRT’s evolving research and trading application requirements
• Overall capacity planning for the Data Center WAN
• Implement fully programmatically-driven network architectures using Python and configuration management tools (e.g., Ansible, Terraform, Saltstack)
• Collaborate with others in the network team to solve cross-disciplinary problems
• Analyze traffic patterns and optimize bandwidth usage
• Provide detailed documentation 
• Mentor others as a senior resource 

Qualifications

• 10+ years of relevant experience with carrier-scale global WAN design
• Proven ability to prioritize workloads and manage implementation schedules with  meticulous attention to detail 
• Proactive problem-solver with the technical skills and hands-on mentality to tackle challenges in the field
• Strong cross-functional collaboration skills and a focus on continuous improvement, with the humility to own and learn from mistakes
• Strong expertise in:
• Advanced BGP (BGP-SR, MP-BGP, BGP-LU, Extended Communities, UCMP), eBGP Route Server
• Segment Routing (SR-MPLS, SR-TE, BGP Prefix SID, Flex-Algo, TI-LFA, Fast Re-route)
• MPLS (LDP, RSVP-TE)
• OSPF/IS-IS
• QOS in WAN Environments
• Network and QOS Telemetry
• Multi-WAN vendor expertise (Arista, Cisco, Juniper, Other)
• Packet decoding and analysis tools such as tcpdump and Wireshark
• Experience with public cloud networks such as AWS, GCP, or Azure
• Unix/Linux command line utilities and networking stack
• Familiarity with Prometheus, Grafana, ELK is desirable
• Optical OLS/DWDM experience is desirable 

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

The role

As a Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).

This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.

This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.

Key responsibilities

Reliability & Platform Ownership

• Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.
• Define and operationalise SLOs, SLIs, and error budgets across platform services.
• Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.
• Partner with ML, platform, and software teams to establish clear production readiness standards.
  
  

Incident Response & On-Call

• Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.
• Lead incident triage, escalation, communications, and root cause analysis.
• Translate post-incident learning into durable architectural or automation improvements.
• Continuously reduce alert noise and recurring operational burden.
  
  

Observability & Operational Excellence

• Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.
• Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).
  Improve deployment safety through better change management, validation, and rollback mechanisms.
  
  

Automation & Tooling

• Build automation for cluster operations, training workflows, remediation, and scaling tasks.
• Implement self-healing patterns and resilient recovery workflows.
• Harden CI/CD and release processes to improve deployment safety and velocity.
• Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.

About you

In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.

Essential skills

• Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.
• Strong Kubernetes experience, including operating production clusters.
• Hands-on experience running production workloads in AWS, GCP, or Azure.
• Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.
• Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.
• Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.
• Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.
• Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).
• Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.

Desirable skills

• Experience operating GPU-backed environments or large-scale ML infrastructure.
• Experience running model training or inference pipelines in production (MLOps).
• Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.
• Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.
• Experience as an early or founding SRE hire establishing processes from scratch.
• Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.

This is a full-time role based in our office in London (2 days a week in the office).  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

The role

This is a rare opportunity to be a founding Staff SRE shaping the reliability of large-scale AI systems and GPU compute infrastructure from the ground up.

As a Staff Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform. This includes our Model Development Platform (powering end-to-end model development from raw data to on-road experimentation) and our GPU Compute platform (large-scale, multi-tenant GPU fleets and scheduling systems driving model training and inference at scale).

This is a founding Cloud SRE role. You won’t inherit a mature SRE function, you’ll help create it. You will define the frameworks, automation, and operational standards that ensure our model development infrastructure, distributed systems, and large compute clusters operate predictably, efficiently, and at scale.

This role sits at the intersection of AI research, large-scale cloud infrastructure, and production operations. Your work will directly enable faster model training, reliable experimentation, and scalable AI deployment by ensuring our cloud infrastructure is resilient and performant.

Key responsibilities

Reliability & Platform Ownership

• Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.
• Define and operationalise SLOs, SLIs, and error budgets across platform services.
• Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.
• Partner with ML, platform, and software teams to establish clear production readiness standards.
  
  

Incident Response & On-Call

• Participate in a 24/7 on-call rotation as first-line response for cloud and cluster-related incidents.
• Lead incident triage, escalation, communications, and root cause analysis.
• Translate post-incident learning into durable architectural or automation improvements.
• Continuously reduce alert noise and recurring operational burden.
  
  

Observability & Operational Excellence

• Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.
• Build dashboards that reflect real user-centric platform health (not just infrastructure metrics).
  Improve deployment safety through better change management, validation, and rollback mechanisms.
  
  

Automation & Tooling

• Build automation for cluster operations, training workflows, remediation, and scaling tasks.
• Implement self-healing patterns and resilient recovery workflows.
• Harden CI/CD and release processes to improve deployment safety and velocity.
• Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.

About you

In order to set you up for success as a Cloud Site Reliability Engineer at Wayve, we’re looking for the following skills and experience.

Essential skills

• Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.
• Experience operating GPU-backed environments or large-scale ML infrastructure.
• Experience running model training or inference pipelines in production (MLOps).
• Strong Kubernetes experience, including operating production clusters.
• Hands-on experience running production workloads in AWS, GCP, or Azure.
• Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.
• Experience working with large compute clusters; exposure to AI/ML training or inference workloads strongly preferred.
• Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.
• Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.
• Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).
• Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.

Desirable skills

• Familiarity with infrastructure-as-code (e.g. Terraform) and secure cloud production environments.
• Experience defining and running SLOs/SLIs and building reliability programs across multiple teams.
• Experience as an early or founding SRE hire establishing processes from scratch.
• Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time.

This is a full-time role based in our office in London (2 days a week in the office).  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

We are hiring a hands-on Data Quality & Governance Engineer to build and run the governance that underpins our Data & AI function.

You will sit at the intersection of engineering, governance, and risk. Your focus is to build quality, metadata, lineage, and control capabilities into our data and AI platforms, and fix issues where data is created. The goal: reduce downstream issues and give LHV a clear, single view of how critical data and AI assets are governed.

You will work closely with the Head of Data & AI, engineers, AI/ML team, risk, and technology partners to turn policy into automated patterns across the platform.

 What You Will Do

Data Quality and Observability by Design:

• Implement automated data quality checks, alerts, and observability for critical datasets, data products, and AI features (Python, SQL, dbt, similar tools).
• Work with source system teams to identify root causes and fix data at source.
• Embed controls in pipelines and transformations (schema, referential integrity, freshness, PII, data contracts).
• Define and monitor data SLIs/SLOs (availability, latency, freshness, completeness) and feed these back to teams.
• Integrate quality and observability signals into monitoring and incident tooling (e.g. Coralogix, Jira)

Build and Run Governance Operations:

• Help design and operate the Data & AI governance “spine” that connects policies, data, AI, and risk.
• Implement and maintain:
  • An enterprise data catalogue and glossary
  • End‑to‑end lineage from source to warehouse/lake to products, models, and reports
  • Ownership, stewardship, and criticality metadata aligned to the Data & AI Stewardship Model
• Ensure governance tooling reflects how data actually flows.
• Link governed assets to policies, controls, and risks, giving a single view of what data we have, where it comes from, how it is used, and who is accountable.

Enable Safe, Governed AI and Analytics:

• Make core data assets “AI ready” through strong provenance, documentation, and quality standards.
• Integrate governance with AI services and model lifecycle tooling so:
  • Models and AI use cases are registered, owned, and linked to their data
  • Training data, features, and outputs have clear lineage back to source
  • Data quality and model monitoring (performance, drift, bias) can be traced end to end
• Partner with Data Scientists, ML Engineers, and Analysts to design repeatable, governed patterns for feature stores, training datasets, and AI outputs.

Support Stewardship, Risk and Compliance:

• Work with Data Owners, Stewards, Custodians, and AI Stewards to:
  • Identify and prioritise Critical Data Elements (CDEs) and high‑impact AI use cases
  • Capture ownership, definitions, quality rules, and control requirements
• Implement practical solutions for:
  • Classification, retention, and access control (e.g. GDPR, banking regulation)
  • Audit trails and evidence for key data flows and AI services
• Provide clear views of where critical data comes from, how it flows, and how well it is controlled, including:
  • Lineage, quality coverage, and control effectiveness
  • Inputs to the Data & AI Governance Forum
  • Regulatory and internal assurance materials

Technical guidance:

• Provide technical guidance and code review for governance and quality patterns.
• Contribute to shared practices for governance as code, CI/CD, testing, and observability for data and AI workloads.
• Work in an agile environment with product, engineering, risk, and business stakeholders to turn governance requirements into deliverable work.
• Help evaluate and introduce governance and observability tooling (catalogues, lineage, data observability, AI governance).

 What We Are Looking For

Essential:

• Significant experience within in a data‑focused engineering role (e.g. Data Engineer, Analytics Engineer, Data Platform Engineer, Governance Engineer) with strong emphasis on data quality, governance, or observability.
• Experience with financial data or in financial services or other regulated industries.
• Strong hands-on Python and SQL for checks, automation, and integrations.
• Proven experience implementing automated data quality rules and monitoring (dbt tests, custom SQL/Python checks, data observability tools) and using them to drive fixes at source.
• Practical understanding of data governance (catalogue, lineage, ownership/stewardship, CDEs, access control, retention) and how to operationalise it in production.
• Experience with cloud‑native data platforms, ideally AWS (e.g. Redshift, S3, Glue, Lambda, IAM) or similar.
• Familiarity with modern data modelling and transformation (e.g. dbt, dimensional modelling, star/snowflake schemas).
• Experience with CI/CD and infrastructure as code for data systems (e.g. GitHub Actions, CodeBuild/CodePipeline, Terraform).

Desirable:

• Experience with data governance platforms or catalogues (e.g. Collibra, Atlan, Collate, Alation, OpenMetadata).
• Experience with data observability or monitoring tooling (e.g. Monte Carlo, Coralogix, custom metrics/alerting).
• Exposure to ML/AI pipelines, model registries, feature stores, and monitoring (e.g. MLflow, Evidently).
• Experience defining and operating data products with SLAs, contracts, and clear ownership.

Role Title: IT Infrastructure / Platform Services Intern

Location of internship: 1 Angel Court, London EC2R 7HJ

Length of Internship: 8 weeks

Start Date: 15th June - 7th August 2026

Schedule/Hours: Monday to Friday, 9:00 - 17:00

Student Type: Penultimate or Final Year students

This role is particularly suited for students studying: Computer Science, Software Engineering, Cloud Computing, Infrastructure Engineering, Cyber Security, DevOps, or related technical subjects

About the Role: 

This internship is designed to give early-career talent practical exposure to platform engineering, cloud infrastructure, and the tools used to support modern banking services. The role combines structured learning with a final project that allows the intern to contribute to a defined technical use case.

Main duties & responsibilities:

• Gain exposure to platform engineering practices, tools, and technologies used within the bank. 
• Learn version control fundamentals and GitHub workflows, including pull requests and code reviews. 
• Build understanding of AWS fundamentals, including IAM, S3, VPC, ingress, load balancing, and EC2. 
• Learn how infrastructure is built using Terraform, including modules and root configurations. 
• Gain exposure to observability practices including logging, metrics, alerting, and runbooks. 
• Learn CI/CD and GitOps fundamentals, including GitHub Actions. 
• Gain introductory exposure to containers and Kubernetes concepts. 
• Explore emerging technologies and relevant AI use cases in infrastructure. 
• Deliver a final project involving a real infrastructure component for a defined use case, from requirements gathering through to implementation, deployment, and documentation. 

Students will gain: 

• Practical exposure to cloud infrastructure in a real engineering environment. 
• Better understanding of DevOps, GitOps, observability, and infrastructure as code. 
• Experience thinking through architecture and implementation trade-offs. 
• Exposure to AWS, Terraform, CI/CD workflows, and Kubernetes concepts. 
• Experience collaborating with engineers on a defined technical use case. 
• Experience delivering and documenting a practical technical project. 

Person specification:

• Foundational understanding of software engineering or infrastructure concepts. 
• Familiarity with Git and basic command-line workflows. 
• Interest in cloud platforms, infrastructure as code, automation, or DevOps. 
• Ability to learn technical concepts quickly and apply them in practice. 
• Curiosity and a strong desire to learn. 
• Good problem-solving and critical-thinking skills. 
• Ability to communicate clearly with technical stakeholders. 
• Strong attention to detail. 
• Accountability and willingness to take ownership of tasks. 

Nice to have: 

• Exposure to AWS, Terraform, Docker, Kubernetes, GitHub Actions, or CI/CD concepts. 
• Experience with scripting or coding in Python, Bash, or a similar language. 
• Interest in platform engineering, site reliability, cloud operations, or infrastructure security. 
• Awareness of AI-native tools or modern engineering workflows. 

^{Your responsibility will involve:}

• ^{Delivering production-ready, reliable, and scalable infrastructure on time}
• ^{Improving developer experience and define technical standards for the entire company}
• ^{Designing, deploying, and managing scalable, secure, and resilient cloud infrastructure on AWS and Azure.}
• ^{Collaborating with engineering and security teams to define cloud architecture and implement best practices.}
• ^{Automating cloud operations with infrastructure as code using tools such as Terraform.}
• ^{Monitoring cloud infrastructure performance, identify issues, and implement solutions to ensure high availability and reliability.}
• ^{Optimising cloud resources for cost-efficiency while maintaining performance and security standards.}
• ^{Engaging in incident response and troubleshooting efforts for cloud-related issues.}
• ^{Staying up-to-date with the latest cloud technologies and trends, and providing recommendations for continuous improvement.}

^{Minimum Requirements:}

• ^{5 years of relevant professional experience - preferably coming from a software engineering background.}
• ^{Strong Python programming.}
• ^{Experience with Kubernetes in production and containerisation.}
• ^{Proven experience with CI/CD and release management - Azure DevOps or GitHub Actions preferable.}
• ^{Hands-on experience managing a cloud production environment in AWS or Azure.}
• ^{Infrastructure as Code (IaC) experience using Terraform.} 
• ^{Bachelor’s degree or Master’s in Computer Science, Engineering, a relevant technical field or equivalent practical experience.}

^{Preferred Requirements:}

• ^{Proficiency in one of the following programming languages - Go, TypeScript/JavaScript.}
• ^{Familiarity with ArgoCD and GitOps practices for continuous deployment.}
• ^{Experience with Agile methodologies, such as scrum, kanban, and sprints.}
• ^{A love of learning and enjoyment in trying new things.}
• ^{Enjoys technical challenges and wants to contribute directly to solutions.}

^{We offer competitive compensation based on experience, expertise, and the level of responsibility. This role also includes equity, giving you the opportunity to share in the long-term success of the business.}

^{The listed expectations reflect what we're hiring for, so we encourage you to review the job description carefully.}

^Benefits

^{💰 Participation in the company’s employee share options plan}

^{🏝 Tenure-Based PTO: You will receive 25 holidays when you join and will gain an additional 1 day after 2 years of service, then 1 day each year until capped at 32 holidays}

^{🏡 Flexible working from home policy}

^{🌎 Work from outside of the UK for up to 6 months each year}

^{🫂TELUS Health EAP 24/7 - offers you and your chosen family confidential, judgment-free support for any work, health, or life challenge}

^{🧡 Enhanced parental leave}

^{🚲 Bike2Work scheme}

^{📚 Annual learning and development allowance}

^{🏡 We’re all about making WFH work for you - that’s why we offer a one-off WFH allowance when you join. Offering perks like noise-cancelling headphones or a comfortable desk chair to boost your comfort and focus!}

^{👨‍👩‍👧 Company-funded fertility and family-forming programmes}

^{🌸 Menopause care programme with Maven}

^{🏥 Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs}

^{🌎 Sabbatical Program: 5-week paid sabbatical available after 5 years of employment}

We are seeking an ambitious, enthusiastic, and highly motivated Cloud Engineer to join our technology team. This is an exciting opportunity to be a key player in the expansion of our cloud environment, contributing to the development of our execution systems, quantitative research platform, data ingestion pipelines, and post-trade applications. This hands-on role offers a unique chance to work with the latest cloud technologies and provides a high degree of autonomy and ownership in delivering impactful solutions to the business. If you are passionate about cloud technologies and eager to take on a challenging role with a high degree of autonomy and ownership, we would love to hear from you.

Our Technology

Operating in a cloud-first environment, we deploy containerised workloads to AWS through managed Kubernetes and scale on-demand to satisfy burstable workloads. Other managed services we use in AWS include EMR, RDS, MSK and bespoke EC2 solutions. All infrastructure is managed through Terraform, our source code is in GitHub and automation through GH actions.   

Your responsibilities will include:

• Design, implement, and manage scalable cloud infrastructure to support various business divisions.
• Collaborate with researchers and other stakeholders to understand their requirements and deliver tailored solutions, with a keen eye on cost efficiency
• Ensure the security, reliability, and performance of cloud-based systems.
• Automate deployment, monitoring, and maintenance processes to enhance operational efficiency.
• Stay up to date with the latest cloud technologies and best practices 

What we are looking for:

• 2+ years of experience in a similar role, with hands-on experience in AWS and Kubernetes.
• Strong belief in the ‘Infrastructure as code’ mind-set and a solid understanding of Terraform.
• Experience with CNCF technologies such as Argo CD, Kyverno and Prometheus.
• Proficient with Grafana to monitor and alert on critical systems
• Excellent problem-solving skills and the ability to work independently.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.                       

What Would Be Useful:

• AWS Certified Solutions Architect, CNCF certificate(s) or similar
• Knowledge of the Go Programming and understanding of Kubernetes operators
• Natural curiosity and enthusiastic about using AI-assisted development tools and integrating them into daily workflow
• Experience of automation through GitHub Actions or similar