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- Tasks: Optimise a cutting-edge calculation engine for a next-gen spreadsheet tool.
- Company: Causal, a fast-growing VC-backed startup with a remote-first culture.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Why this job: Join a team pushing the limits of data-driven decision-making in businesses.
- Qualifications: 5+ years in software engineering with expertise in Go, Node.js, and algorithms.
- Other info: Be part of a dynamic startup environment with significant career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
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.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Causal on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a mini-project or a code sample that highlights your expertise in Go, TypeScript, or algorithms. This will demonstrate your hands-on experience and passion for performance engineering.
✨Tip Number 3
Ace the interview by practising common technical questions related to backend technologies and graph algorithms. We can help you with mock interviews to boost your confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Performance Engineer at Causal in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Performance Engineer role. 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! Whether it's a personal project or something from a previous job, we love seeing real examples of your work. This gives us insight into your problem-solving skills and technical prowess.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows us you’re genuinely interested in 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 algorithmic challenges during the interview. Practice explaining your thought process clearly, especially when it comes to graph algorithms and data structures. This will demonstrate your ability to solve intricate computation challenges.
✨Understand Causal's Vision
Familiarise yourself with Causal's product and its unique approach to spreadsheet computation. Being able to articulate how you can contribute to their mission of helping businesses make data-driven decisions will set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's engineering processes and technical standards. This shows your genuine interest in the role and helps you gauge if the startup culture aligns with your values.
