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- Tasks: Optimise a cutting-edge calculation engine for a next-gen spreadsheet tool.
- Company: Join Causal, a fast-growing VC-backed startup with a remote-first culture.
- Benefits: Enjoy competitive pay, flexible remote work, and opportunities for growth.
- Why this job: Make a real impact on data-driven decision-making for global enterprises.
- Qualifications: 5+ years in software engineering with expertise in Go, Node.js, and algorithms.
- Other info: Be part of a dynamic team shaping the future of data modelling.
The predicted salary is between 36000 - 60000 £ per year.
Company Description: Causal - VC-backed spreadsheet and modeling platform
As a Performance Engineer at Causal, you will optimize the core calculation engine of a next-generation spreadsheet tool. You will tackle complex engineering challenges involving high-capacity data pipelines and graph algorithms to ensure lightning-fast performance. This role is pivotal in scaling Causal’s infrastructure to handle increasingly sophisticated datasets for global enterprise customers.
Location: Remote, UK
Why this role is remarkable:
- Work on a unique, high-performance calculation engine that pushes the boundaries of traditional spreadsheet computation and data modeling.
- Join a fast-growing, remote-first startup culture that values technical excellence and has raised significant capital from top-tier investors.
- Directly influence the technical roadmap of a product that helps businesses make critical, data-driven decisions through advanced number-crunching tools.
What you will do:
- Optimize and scale the calculation engine’s capacity and throughput using Go, TypeScript, and Postgres to handle complex, real-time datasets.
- Transform functional requirements into high-performance, maintainable code while maintaining a robust suite of tests for mission-critical systems.
- Establish engineering processes and technical standards that ensure the long-term scalability and reliability of the Causal platform as the user base grows.
The ideal candidate:
- Has 5+ years of software engineering experience with a deep understanding of backend technologies including Go, Node.js, and Redis.
- Possesses strong expertise in algorithms and data structures, specifically graph algorithms, to solve intricate computation and scaling challenges.
- Proven track record in a Series A to C startup environment with the ability to take features from initial concept to production independently.
Performance Engineer at Causal employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Performance Engineer at Causal
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Prepare for those interviews! Research Causal and understand their products inside out. We want you to be able to discuss how your skills in Go, TypeScript, and Postgres can directly impact their performance engine.
✨Tip Number 3
Show off your projects! If you've worked on relevant projects or have a GitHub portfolio, make sure to highlight them. We love seeing practical examples of your expertise in algorithms and data structures.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to see how you can contribute to scaling Causal’s infrastructure!
We think you need these skills to ace Performance Engineer at Causal
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Performance Engineer role at Causal. Highlight your experience with Go, TypeScript, and Postgres, and don’t forget to showcase your expertise in algorithms and data structures. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working at Causal and how your background makes you a perfect fit for optimising our calculation engine. Let us know what drives you and how you can contribute to our mission.
Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we love seeing real examples of your work, especially if they involve complex data pipelines or graph algorithms.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at Causal!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Stack
Make sure you brush up on Go, TypeScript, and Postgres before the interview. Be ready to discuss how you've used these technologies in past projects, especially in optimising performance and handling complex datasets.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about specific examples where you've solved intricate computation problems or scaled systems effectively. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand Causal's Vision
Familiarise yourself with Causal’s product and its unique approach to spreadsheet computation. Be prepared to discuss how you can contribute to their mission of helping businesses make data-driven decisions through advanced tools.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their engineering processes, the challenges they face with scaling, and how they envision the future of their calculation engine. This demonstrates your enthusiasm and strategic thinking.
