Senior Site Reliability Engineer

Thought Machine; City Of London; In loco; GBP 110.000 - 150.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Pension plan (match up to 5%)

Life insurance - three times annual薪

Annual leave and holidays

Learning and development resources

Cycle-to-work scheme

Tech and snacks on site

Descrizione del lavoro

Thought Machine is building cloud-native core banking and payments platforms. This SRE role focuses on automating fleet management, ensuring high reliability, and mentoring the team.

You will work with senior stakeholders and customers on critical programs that scale with the company's growth. You will collaborate across engineering to drive design discussions, implement robust runbooks, and maintain production vault environments.

Competenze

• Proven track record delivering high-impact, scalable projects.
• Strong understanding of hosting/networking design patterns.
• Driven to build exceptional products, not just solve immediate issues.
• High-agency individual capable of driving projects independently.
• Experience with Python or Golang on large-scale initiatives.
• Experience with Kubernetes or comparable container orchestration.

Mansioni

• Participate in design discussions, RFCs and code reviews to build fault-tolerant, scalable apps.
• Contribute to disaster recovery, backup, redundancy and capacity planning strategies.
• Be part of a global on-call rotation to identify and fix bottlenecks in SaaS environments.
• Perform regular maintenance of production systems hosting Vault products.
• Define features that improve reliability and user experience for SaaS products.
• Test and evolve DR strategies to ensure resilience and fault tolerance.
• Document assets, processes and runbooks for day-to-day operations.
• Mentor teammates and grow technical skills within the Vault product domain.

Conoscenze

Python

Golang

Kubernetes

Cloud experience (AWS/GCP)

Observability tools

System design patterns

Strumenti

Terraform

Puppet

Chef

Ansible

Descrizione del lavoro

Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What we are attempting is hard and means we need great people working together to build great technology.

We have grown rapidly in the past few years – growing our team to more than 550 individuals across offices in London, New York, Singapore, Sydney and our newly established Engineering Hub in Lisbon. We have raised more than £500m in funding and our investors include Molten Ventures, Eurazeo, Intesa Sanpaolo, Temasek, Nyca Partners, JPMorgan Chase Strategic Investments, Standard Chartered Ventures, and more.

We have created a culture that enables our team to produce the best work in the industry while ensuring we have fun along the way. We're regularly cited as having a fantastic workplace culture and have been recognised by Sifted magazine as having one of the highest Glassdoor ratings for a UK fintech company and the industry's most generous employee share package. Named one of the world's most innovative fintechs by Global Finance Magazine, we were also recognised by the Financial Times as one of Europe's fastest-growing companies for two consecutive years—and a UK Best Employer for 2026.

Thought Machine’s Site Reliability Engineers are the guardians of mission-critical systems for the world's most influential financial institutions. As a member of our elite, globally distributed team, you'll be entrusted with running and maintaining the robust production infrastructure that powers our customers' cutting-edge Core Banking and Payments platforms. This is an opportunity to make a tangible impact on the global financial landscape while collaborating with brilliant minds to solve complex engineering challenges.

This role will be part of the Site Reliability Engineering team at Thought Machine HQ in London, tackling the challenges of automating complex fleet management operations, mentoring team members, promoting communities of best practice within engineering as well as designing operational processes that provide effective interfaces between Thought Machine and our SaaS customers.

The SRE team is deeply involved in tackling the technical challenges of executing Thought Machine’s growth ambitions - expect to be working with senior stakeholders in the organisation and with our customers, and working on programmes and initiatives that are critical to the success of the company.

Duties:

• Supporting the product engineering teams in building highly fault-tolerant, scalable applications by participating in design discussions, engaging in RFCs and code reviews.

• Executing various department strategies - contributing to the design and scoping work for team members around disaster recovery, backup, redundancy and capacity planning activities.

• Being part of a global on-call rotation responsible for identifying and fixing bottlenecks in SaaS customer environments.

• Regular maintenance of production systems that host Vault products.

• Driving the evolution of our SaaS products by defining and designing features that foster exceptional reliability and an unparalleled user experience.

• Implementing and regularly testing DR strategies to ensure the highest level of resilience and fault tolerance of the platform.

• Maintain and promote high-quality written documentation of assets, processes and runbooks that are used by the team in their day-to-day operations,

• Working with your Manager in growing team members in their technical skills as well as their understanding of Vault Products.

Requirements:

• You have a track record of delivering high-impact projects with focus on long-term scalability, ensuring that human intervention scales sub-linearly with usage growth.

• You possess an up-to-date understanding of design patterns relevant to hosting and networking architectures.

• You proactively champion product development, driven by a desire to build truly exceptional products, not just solve immediate challenges.

• You’re a high-agency individual who can independently drive projects to completion by effectively scaling your individual output with the appropriate delegation of work to team members.

• You have a strong background working in either Python, Golang having used one of these programming languages to execute a significantly sized project or initiative.

• You have experience working with Kubernetes or other container orchestration systems.

• You have experience with automation/configuration management, e.g. Terraform, Puppet, Chef, Ansible.

• You have expertise in one or more of the following areas: Database Administration, Networking, Observability Tools (such as Prometheus, Jaeger) or automation infrastructure.

• You have extensive experience working with either GCP or AWS.

Benefits:

• Highly competitive salary

• Pension plan (match up to 5%)

• Life insurance - three times annual salary

• Competitive maternity (six months fully paid) and paternity leave (four weeks fully paid)

• Shared parental leave (matched to our maternity leave for the same point in time)

• 25 days holiday and bank holidays

• Flexible working hours

• Cycle-to-work scheme

• Electric car scheme

• Season ticket loan

• Access to outstanding learning materials and courses

• Sports and hobby clubs, subsidised by Thought Machine

• All the latest tech you need

• Start the day properly with fresh fruit and cereals

• Huge range of healthy (and not-so-healthy) snacks, smoothies and drinks

• A talented and experienced team as your colleagues

• An environment where we encourage learning and progress

• Two charity days a year

• Weekly food pop-up

We actively hire candidates who demonstrate technical excellence in their field and welcome people of all ages and backgrounds, providing everyone with equal access to professional development. You are encouraged to apply even if your experience doesn't accurately match the job description. We also encourage applications from those with different abilities, including candidates with ADHD, autism, dyslexia or dyspraxia.