Tolerance Lead Engineer (Contract)

Tolerance Lead Engineer (Contract)

Freelance Home office (partial)
Formula.

At a Glance

  • Tasks: Lead the design and development of a cutting-edge API platform using Kafka.
  • Company: Globally scaled tech business with a focus on innovation.
  • Benefits: Competitive pay, hybrid work model, and flexible contract terms.
  • Other info: Exciting opportunity for career growth in a dynamic environment.
  • Why this job: Make a real impact on next-gen technology while working hands-on.
  • Qualifications: Deep Kafka experience and skills in TypeScript, Node.js, and AWS.

A globally scaled technology business is looking for a Lead Engineer to take ownership of its next-generation API platform, with Kafka at the heart of the architecture.

Operating at significant scale, this is a hands-on engagement where you'll have real influence over the direction of a critical engineering pillar - designing and building the event-driven infrastructure that the platform depends on.

Key responsibilities as a Lead Engineer:

  • Architecting and evolving a high-throughput, Kafka-driven event streaming platform
  • Designing cloud-native distributed systems built for scale and resilience
  • Leading the development of event-driven microservices and API integrations
  • Owning security, observability, performance, and long-term maintainability
  • Championing TDD, CI/CD, Infrastructure as Code, and automated testing
  • Embedding AI-powered capabilities into engineering workflows

Skills and requirements:

  • Kafka - deep, hands-on experience is essential (topic design, consumer groups, schema registry, Kafka Streams or similar)
  • TypeScript, Node.js
  • AWS (EKS, Lambda, Aurora RDS), Kubernetes
  • GraphQL, Terraform, DataDog
  • Salesforce or enterprise CRM experience is a strong advantage

Contract details:

  • IR35: Outside IR35
  • Rate: Up to £700 per day
  • Contract length: 3 months rolling
  • Location: London (Hybrid)
  • Start date: ASAP

Apply now or reach out directly to find out more. Due to the high volume of applications, not all applicants will receive a response.

Tolerance Lead Engineer (Contract) employer: Formula.

Join a globally scaled technology business that values innovation and hands-on engagement, offering you the opportunity to lead the development of a next-generation API platform in a hybrid London setting. With a strong focus on employee growth, you will have access to cutting-edge technologies and methodologies, including TDD and CI/CD, while enjoying a collaborative work culture that champions creativity and technical excellence. This role not only provides competitive compensation but also positions you at the forefront of engineering advancements, making it an ideal place for those seeking meaningful and rewarding employment.

Formula.

Contact Details:

Formula. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Tolerance Lead Engineer (Contract)

Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work with Kafka or in similar roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! If you’ve got a portfolio or GitHub showcasing your work with TypeScript, Node.js, or Kafka, make sure it’s easy to find. This is your chance to demonstrate your hands-on experience and stand out from the crowd.

Tip Number 3

Prepare for the interview like it’s the big game! Research the company’s tech stack and be ready to discuss how your experience aligns with their needs. Practise answering technical questions and think of examples where you’ve led projects or solved complex problems.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to take ownership of exciting projects like the one we have for a Lead Engineer.

We think you need these skills to ace Tolerance Lead Engineer (Contract)

Kafka
TypeScript
Node.js
AWS (EKS, Lambda, Aurora RDS)
Kubernetes
GraphQL
Terraform

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Kafka and event-driven architectures. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Lead Engineer role. Mention your experience with TypeScript, Node.js, and any cloud-native systems you've worked on.

Showcase Your Achievements:When detailing your past roles, focus on specific achievements that demonstrate your ability to lead and innovate. We love seeing quantifiable results, so if you’ve improved performance or security, let us know!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!

How to prepare for a job interview at Formula.

Know Your Kafka Inside Out

Since this role revolves around Kafka, make sure you brush up on your knowledge of topic design, consumer groups, and schema registry. Be ready to discuss your hands-on experience and any challenges you've faced while working with Kafka in previous projects.

Showcase Your Cloud-Native Skills

Familiarise yourself with AWS services like EKS, Lambda, and Aurora RDS, as well as Kubernetes. Prepare examples of how you've designed cloud-native distributed systems that are resilient and scalable, and be ready to explain your thought process during the design phase.

Emphasise Your Leadership Experience

As a Lead Engineer, you'll need to demonstrate your ability to lead teams and projects. Share specific instances where you've championed TDD, CI/CD, or Infrastructure as Code, and how these practices improved project outcomes. Highlight your experience in mentoring others too!

Prepare for Technical Questions

Expect technical questions related to event-driven microservices and API integrations. Brush up on GraphQL and Terraform, and be prepared to discuss how you've embedded AI-powered capabilities into engineering workflows. Practice articulating your thought process clearly and confidently.