Company & Department Context

The Financial Times is one of the world’s leading business news organisations, recognised internationally for its authority, integrity and accuracy. The FT has a record paying readership of one million, three-quarters of which are digital subscriptions. It is part of Nikkei Inc., which provides a broad range of information, news and services for the global business community.

We have offices in more than 35 cities, including London, New York, Hong Kong, Beijing, Manila, Sofia, San Francisco and Tokyo. Join us and find an inclusive and fast-paced environment with unique opportunities to support every step of your career.

Learn more about the FT, including announcements and career opportunities, at aboutus.ft.com.

Role overview 

This role sits in the Data & AI Governance function and focuses on platform engineering and infrastructure ownership to ensure the reliable and scalable operation, integration, and development of Data & AI Governance platforms across the FT.

The role is responsible primarily for designing, integrating, optimising, and maintaining cloud-native platform infrastructure and services enabling metadata management, data lineage, data quality, data access, data retention, data compliance and data sharing in a dynamic, cloud-native data platform. 

The successful candidate is expected to take technical ownership of the key data governance systems, namely SageMaker Unified Studio (SMUS) and the infrastructure-as-code solution Data Innovation Workbench (DIW), ensuring their reliability, security, scalability, and effective integration within the broader FT data platform. 

The role contributes to the FT’s broader Data & AI Governance strategy by ensuring that governance technology is robust, well-integrated and capable of scaling with increasing demand or in response to evolving industry best practices. 

The role will report directly into the Data Governance team but requires close collaboration with the FT’s DevOps, Data Engineering, BI, Data Science and Cyber Security functions.

Context & Drivers for the Role

Data & AI Governance capabilities at the FT are increasingly dependent on well-integrated, cloud-native tools. Currently, the technical ownership of these tools is distributed across multiple teams. 

As adoption grows, and the governance tools ecosystem expands, there is a need for clear technical ownership centralised in the Data Governance team to enforce consistent infrastructure standards and scalable integration patterns. 

Responsibilities 

These responsibilities reflect the current scope of the role and will evolve over time as the FT advances its data governance and platform capabilities. 

Governance Platform Technical Ownership & Reliability

• Act as the technical owner of SageMaker Unified Studio (SMUS) and Data Innovation Workbench (DIW), ensuring high availability, reliability, and security
• Serve as the primary point of contact for platform-related infrastructure issues and escalations
• Ensure that technical metadata, data lineage, and data quality is consistently captured, accurate, and reliable via SMUS
• Ensure consistent governance enforcement across integrated AWS services for all Data handling services (e.g., S3, Redshift, MSK, MWAA) via SMUS.

Infrastructure & DevOps

• Define and implement Infrastructure as Code (IaC) standards using primarily AWS CDK, CloudFormation, and Terraform 
• Manage and optimise cloud-native infrastructure to ensure scalability, resilience, and maintainability 
• Plan and execute infrastructure changes, upgrades, and platform improvements with minimal service disruption.

System Integration 

• Collaborate with system owning teams to setup and maintain integration between SMUS and other systems such as data stores (Redshift, S3, MongoDB), Streaming platforms (Kafka/MSK)  orchestration tools (e.g., Airflow, MWAA)
• Ensure lineage metadata is accurately captured and maintained as pipelines evolve
• Design, deploy, and support integrations with additional systems (e.g. analytics tools, streaming platforms, operational databases).

Performance, Compliance & Cost Monitoring

• Monitor platform usage, performance, and capacity to ensure systems scale effectively with demand
• Track and optimise cloud infrastructure costs, establishing best practices for cost efficiency
• Implement monitoring, alerting, and observability for platform health.
• Enable audit, monitoring, and compliance reporting for all SMUS platform activities

Continuous Improvement & Strategy 

• Contribute to the development of standards and best practices for governance tooling and infrastructure
• Advise on platform evolution, including AWS service adoption, architectural improvements, and system upgrades
• Support the broader data governance strategy by ensuring platforms enable effective governance at scale.
• Work in close partnership with FT’s Data Platform team to ensure governance capabilities are natively embedded into platform services, architectures, and delivery processes. 

Required Skills & Experience 

• Proven experience in a DevOps, platform engineering, or cloud infrastructure role
• Hands-on experience with AWS cloud services and infrastructure
• Experience with Infrastructure as Code (CDK, CloudFormation, Terraform)
• Experience supporting (ideally, owning) production-grade cloud platforms and services
• Experience monitoring, analysing, and optimising cloud costs using best practices and tooling
• Experience in setting up and supporting CI/CD pipelines, familiarity with CircleCI or willingness to acquire one 
• Understanding of cloud security best practices and compliance requirements

Additional (Desirable) Skills & Experience 

These skills are not required at entry but will enhance early success in the role and represent key areas for development with support from the FT

• Experience implementing data governance capabilities in cloud-native environments
• Understanding of metadata, data lineage, and data & ai governance concepts
• Experience working with data platform data engineering workflows in AWS environment (e.g., Redshift, S3)
• Familiarity with SQL or willingness to acquire one
• Experience with data pipeline orchestration tools such as Airflow
• Experience with identity and access management (IAM), SSO integration, and role-based access control
• Experience with streaming platforms (e.g. Kafka/MSK) and modern data architectures
• Experience with SageMaker Unified Studio and Data Innovation Workbench or similar data platform environments

What’s in it for you?

• Annual bonus scheme
• 25 days paid leave
• 24/7 Employee Assistance Program
• Life Insurance
• Enhanced Parental Leave policy
• Food Allowance
• Multisport Card
• Comprehensive in-house training, and external training programs (subject to approval)

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.

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.

Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. 

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The Team

This is an outstanding opportunity to join one of the largest alternative asset managers. Technology is central to Man’s business strategy, and we are constantly evolving to stay ahead. Our culture embraces change and innovation, with engineering at the heart of our operating platform.

We are looking for a skilled C# Engineer to work within one of our Risk Engineering teams. You will work alongside Investment Risk Managers and other Engineers to deliver solutions that enable daily risk analysis and the continuous improvement of the Man Risk Platform. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

A great chance to collaborate, and learn alongside, highly skilled engineers whilst building up core investment risk and data engineering knowledge. New joiners will get the chance to work on the latest and best technologies for the challenges ahead.

Role Responsibilities

• Own the end-to-end delivery process — from understanding the problem, designing and developing a solution, and delivering value in production
• Participate in the planning, design, and delivery of longer-term projects alongside senior engineers
• Develop and maintain core tools and services for risk data onboarding, analysis, and quality management at scale
• Collaborate with Risk Officers and other Engineering teams to deliver solutions for Investment Risk across Man Group
• Participate in code reviews and knowledge sharing amongst peers
• Continuously improve production components — reducing technical debt, increasing release quality, and improving resource utilisation
• Support production systems and BAU requests, contributing to the team’s support rota

Key Competencies

Required

• Strong programming experience in C#/.NET
• Working knowledge of database technologies (e.g. SQL Server, MongoDB, ClickHouse)
• Familiarity with Linux environments and comfortable working across both Linux and Windows platforms
• Strong delivery-focused approach, ensuring business value is being met
• A proponent of collaborative software engineering practices: code review, unit testing, continuous integration, and refactoring
• Embracing agentic engineering — willingness and ability to work effectively with AI-assisted development tools as part of daily workflow
• Confident communicator — able to articulate ideas clearly and deal constructively with differing views
• A genuine willingness to learn new technologies, programming languages, and domain knowledge

Advantageous but not required

• Exposure to Python and its scientific ecosystem (numpy, pandas, scipy)
• Experience with data pipeline technologies (e.g. Kafka)
• Familiarity with containerisation (Docker, Kubernetes) and workflow orchestration (Airflow)
• Experience with DevOps tooling (CI/CD, Bitbucket, Jenkins/TeamCity)
• Prior experience with financial market data or alternative data

Benefits  

• Modern office located in the OfficeX campus with free parking, easy transport access and onsite amenities 
• Hybrid working model 
• Generous parental leave
• Opportunities for professional development including internal tech talks and external conference attendance  

The Team

This is an outstanding opportunity to join one of the largest alternative asset managers. Technology is central to Man’s business strategy, and we are constantly evolving to stay ahead. Our culture embraces change and innovation, with engineering at the heart of our operating platform.

We are seeking a Senior C# Engineer to join one of our Risk Engineering teams. This is a senior individual contributor role for someone who sets multi-year technical strategy and delivers it through direct implementation and broad technical leadership across the Man Risk Platform. You should have the enthusiasm for leveraging AI development tools to accelerate delivery and driving their adoption across the team.

A great chance to collaborate, and learn alongside, highly skilled engineers whilst building up core investment risk and data engineering knowledge. New joiners will get the chance to work on the latest and best technologies for the challenges ahead.

Role Responsibilities

• Set and drive multi-year technical strategy for significant areas of the Risk Engineering platform, aligning with business goals
• Lead the design and architecture of complex, cross-team systems — making decisions that minimise the cost of future change
• Deliver high-impact projects end-to-end, from architecture through to production deployment and operational excellence
• Champion the software products of the Risk Engineering team and drive technical planning and project management
• Champion engineering best practices across multiple teams, including CI/CD, automated testing, and scalable design patterns
• Conduct code reviews and provide deep technical guidance to engineers across the function
• Lead incident response and root cause analysis across systems
• Mentor and develop engineers, fostering a culture of continuous learning and technical excellence
• Contribute to the evolution of our engineering culture and platform strategy

Key Competencies

Required

• Extensive professional experience in C#/.NET with a track record of delivering complex, cross-team technical projects
• Deep understanding of system architecture and distributed systems design
• Proven experience shaping technical strategy — making sound technical choices in ambiguous situations and driving alignment across teams
• Strong knowledge of database technologies (SQL Server, ClickHouse, MongoDB) including schema design, query optimisation, and performance tuning at scale
• Experience with data pipeline technologies (e.g. Kafka) in production environments
• Embracing agentic engineering — ability to leverage AI-assisted development tools to accelerate delivery and drive adoption across the team
• Excellent communication and leadership skills, with the ability to influence and drive consensus
• Passion for mentoring and developing engineering talent
• Strong advocate for collaborative development practices and continuous improvement

Advantageous but not required

• Experience with Python and its scientific ecosystem (numpy, pandas, scipy)
• Familiarity with containerisation (Docker, Kubernetes) and workflow orchestration (Airflow)
• Experience with large-scale data platforms and data engineering at multi-terabyte scale
• Familiarity with financial market data, risk management, or quantitative systems development
• Track record of contributing to engineering culture — tech talks, open-source, or conference presentations

Benefits  

• Modern office located in the OfficeX campus with easy access to transport and amenities.
• Hybrid working model
• Competitive compensation package
• 25 days holiday allowance
• Premium Health insurance
• Employee Assistance program
• Referral Bonus
• Additional days off for long service and volunteering
• Multisport card
• Opportunities for professional development including internal tech talks
• Conference attendance, and engagement with the open-source community.

Why us? 

Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America of 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 22, 21, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re a profitable company, that's changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design. We are proud to be the largest online insurance distribution and comparison platform in the USA. 

Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management.  Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.

How you will make an impact

• Work with our product team to architect and develop new features
• Optimize existing features using modern development techniques to improve speed and reliability
• Write comprehensive test suites that fortify our codebase
• Deploy to production often

What you need to succeed

• 4+ years of experience building back ends applications using a modern web framework (we use Python + Django, Node.js)
• Experience analyzing code performance to identify optimization opportunities
• Experience writing unit and integration tests
• Experience with SQL and NoSQL DBs (we use MySQL, Redis, DynamoDB, Redshift) 
• Fluent spoken and written use of English language

It would be considered a plus:

• Experience with Apache Airflow or other task workflow systems 
• Experience with data pipelines
• Infrastructure as Code and familiarity with AWS 
• Frontend experience (we use React)

Benefits

• 25 days annual leave
• Enhanced private medical, dental and vision insurance plans
• Yearly wellbeing budget or Multisport card
• Personal budget for learning and books
• Employee Assistance Program and other wellbeing perks
• Office kitchen and fun area with snacks and beverages
• Regular social events
• Friendly office culture
• Hybrid office