Performance Tech Lead

Job Description

Who we are:

BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management.We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.

We are building a global team passionate about innovation and next-gen technology. BigID has been recognized for:

- BigID Named Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec Awards
- Citizens JMP Cyber 66 List of Hottest Privately Held Cybersecurity Companies
- CRN 100 list named BigID as one of the 20 Coolest Identity Access Management and Data Protection Companies (3 years running)
- DUNS 100 Best Tech Companies to Work for
- Top 3 Big Data and AI Vendors to Watch in the 2023 BigDATAwire Readers and Editors Choice Awards
- 2024 Inc. 5000 list for the 4th consecutive year
- Shortlisted for the 2024 AI Awards in the category of Best Use of AI in Cybersecurity

At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you'll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.

Who We Seek:

We're looking for an experienced Performance tech lead with 7+years of expertise in optimizing large-scale systems. The ideal candidate will have a strong background in performance testing, bottleneck analysis, and system optimization, with hands-on experience in Kubernetes (K8S), Kafka, MongoDB Atlas, and Elasticsearch. If you're passionate about performance tuning and solving complex technical challenges, we'd love to have you on our team.

What you'll do:

- Design and implement performance testing strategies to optimize system performance and scalability.
- Analyze and troubleshoot performance bottlenecks across the stack, focusing on large-scale systems.
- Collaborate with development and infrastructure teams to ensure efficient data handling and storage.
- Work with MongoDB Atlas and Elasticsearch databases, ensuring efficient query execution.
- Manage and monitor catalogues to ensure data integrity and security.
- Conduct data analysis to provide insights and improve system performance.
- Provide recommendations for architectural improvements and performance tuning.

What you'll bring:

- 7+ years of expertise in performance engineering for large-scale systems.
- K8s Kafka performance analysis skills
- Strong understanding of performance testing tools, methodologies, and best practices.
- Proficiency in analyzing system behaviour, identifying bottlenecks, and implementing optimizations.
- Experience with data analysis and visualization tools - Advantage.
- Hands-on experience with MongoDB Atlas and Elasticsearch - Advantage

What's in it for you

Our people are the foundation of our success, and we place a high priority on offering a wide range of benefits that make our team happier and healthier.

- Equity participation - everyone shares in our success
- Hybrid work
- Opportunities for professional growth, including access to LinkedIn Learning
- Team fun & company outings
- Statutory benefits and leave benefits
- Insurance coverage

Our Values:

We look for people who embody our values - Care, Do, Try & Shine.

- Care - We care about our customers and each other
- Do - We do what it takes to make a positive impact
- Try- We try our best and we don't give up
- Shine- We shine and make it our mission to always stand out

We're committed to creating a culture of inclusion and equality across race, gender, sexuality, and disability where innovation and growth thrive, every voice is heard, and everybody belongs. Learn more about us here.

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