Security Research Engineer

Security Research Engineer

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Obsidian Security

At a Glance

  • Tasks: Dive into SaaS security, crafting impactful features and strategies to protect customers.
  • Company: Join Obsidian Security, a leader in SaaS protection backed by top investors.
  • Benefits: Competitive salary, remote work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team shaping the future of SaaS security.
  • Why this job: Make a real difference in securing major platforms while working at Silicon Valley speed.
  • Qualifications: 5-7 years in cybersecurity, with skills in Python/Go, SQL, and data pipelines.

The predicted salary is between 36000 - 60000 £ per year.

Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens—platforms like Microsoft 365, Salesforce, and hundreds more. Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we’ve built a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Our team includes leaders who helped define the categories of endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, we’re transforming how SaaS is secured—in the era of agentic AI.

Today, Obsidian is trusted by global enterprises like Snowflake, T‑Mobile, and Pure Storage. We protect more than 200 organizations across North America, Europe, the Middle East, Southeast Asia, Australia, and New Zealand—including many of the world’s largest Fortune 1000 and Global 2000 companies. With strong global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise on the horizon, we’re scaling quickly toward long‑term growth and IPO readiness. Join us as we define the future of SaaS security!

About the Role

At Obsidian, we relentlessly pursue clarity in a landscape defined by complexity. We’re looking for Security Research Engineers who thrive at the intersection of security research and product engineering. You’ll dig deep into SaaS platforms, craft high‑impact product features, and help shape the defensive strategies that protect our customers at scale. This role is for someone who loves gaining a deep understanding of complex systems, who enjoys thinking like an attacker, and who wants to create category‑leading security solutions for Obsidian's customers.

What You’ll Do

  • Gain an in‑depth understanding of major SaaS or AI platforms to identify critical security insights.
  • Explore and prototype solutions to integrate data across SaaS and AI platforms to identify toxic combinations of risks that can lead to high blast‑radius compromises.
  • Identify and respond to new attacker techniques against SaaS and AI platforms to build novel approaches to detect or mitigate future attacks.
  • Leverage AI to turbo‑charge research into SaaS and AI platform security.

What We’re Looking For

Minimum Qualifications

  • 5-7 years of experience in the cybersecurity industry with either a research or data focus.
  • Experience with data pipelines (dbt, dagster, clickhouse).
  • Proficiency in Python/Go and SQL.
  • Experience with log processing and anomaly detection.
  • Fluency in using AI agents to assist in building prototype solutions.
  • Ability to analyze logs and signals from IdPs, cloud, or SaaS apps.

Preferred Qualifications

  • Experience with core SaaS platforms such as Google Workspace, Microsoft Office 365, Salesforce, or Workday in a security context.
  • Strong understanding of identity systems (Okta, Azure AD/Entra, Google Workspace, etc.) and authentication flows.

Why Join Us

  • Protect some of the world’s largest organizations.
  • Become an expert in SaaS security by learning from the industry’s leader.
  • Have a direct impact immediately, and experience Silicon Valley pace from the UK.

As set forth in Obsidian Security’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Security Research Engineer employer: Obsidian Security

Obsidian Security is an exceptional employer that offers a dynamic work environment where innovation meets impact. As a Security Research Engineer, you'll have the opportunity to protect some of the world's largest organizations while working alongside industry leaders in a culture that values clarity and collaboration. With a focus on employee growth and the chance to become an expert in SaaS security, Obsidian provides a unique platform for meaningful contributions in a fast-paced, supportive setting.

Obsidian Security

Contact Details:

Obsidian Security Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Security Research Engineer

Tip Number 1

Network like a pro! Reach out to folks in the cybersecurity field, especially those who work with SaaS platforms. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn—people love to share insights!

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to security research or data analysis. This could be anything from GitHub repos to case studies. It’s a great way to demonstrate your expertise and passion for the role.

Tip Number 3

Prepare for the interview by diving deep into Obsidian's products and the latest trends in SaaS security. Be ready to discuss how you can contribute to their mission and bring fresh ideas to the table. Knowledge is power!

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at Obsidian. Let’s make it happen!

We think you need these skills to ace Security Research Engineer

Cybersecurity
SaaS Security
Data Analysis
Python
Go
SQL
Log Processing

Some tips for your application 🫡

Show Your Passion for Security:When you're writing your application, let your enthusiasm for cybersecurity shine through! We want to see that you’re not just ticking boxes but genuinely excited about the role and the impact you can make in SaaS security.

Tailor Your Experience:Make sure to highlight your relevant experience in cybersecurity, especially with SaaS platforms. We love seeing how your background aligns with what we do, so don’t be shy about showcasing your skills in Python, Go, and SQL!

Be Clear and Concise:We appreciate clarity, so keep your application straightforward. Use bullet points where possible and avoid jargon unless it’s necessary. This helps us quickly understand your qualifications and how you fit into our team.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Obsidian.

How to prepare for a job interview at Obsidian Security

Know Your SaaS Security Inside Out

Before the interview, dive deep into the specifics of SaaS security. Familiarise yourself with platforms like Microsoft 365 and Salesforce, and understand their common vulnerabilities. This will not only show your passion for the role but also help you engage in meaningful discussions about security challenges.

Showcase Your Technical Skills

Be prepared to discuss your experience with data pipelines, Python/Go, and SQL. Bring examples of past projects where you’ve implemented log processing or anomaly detection. This is your chance to demonstrate how your technical expertise aligns with what Obsidian is looking for.

Think Like an Attacker

Obsidian values candidates who can think from an attacker's perspective. Prepare to discuss potential attack vectors on SaaS platforms and how you would mitigate them. This mindset will resonate well with the team and highlight your problem-solving skills.

Leverage AI in Your Approach

Since the role involves using AI to enhance security research, be ready to talk about how you've used AI in previous roles. Share specific examples of how AI has helped you identify risks or improve security measures, showcasing your innovative thinking.