Qureos Mentor

Obsidian Security

Obsidian Security provides comprehensive security solutions for Software as a Service (SaaS) and artificial intelligence (AI) applications. Their platform offers end-to-end visibility, runtime protection, and continuous governance, helping enterprises manage risks associated with SaaS integrations and AI agents. By focusing on proactive threat detection and compliance, Obsidian aims to safeguard sensitive data and ensure secure operations across various business applications.

<div>
 Founded in 2017, Obsidian Security was created to close a critical gap: securing the SaaS applications where modern business happens&mdash;platforms like Microsoft 365, Salesforce, and hundreds more.
 
 
 Backed by top investors including Greylock, Norwest Venture Partners, and IVP, we&rsquo;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&rsquo;re transforming how SaaS is secured&mdash;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&mdash;including many of the world&rsquo;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&rsquo;re scaling quickly toward long-term growth and IPO readiness. Join us as we define the future of SaaS security!
 
 
 
 Sr. Site Reliability Engineer (SRE) &mdash; Obsidian
 
 
 
 At Obsidian, our Sr. Site Reliability Engineers ensure the reliability, scalability, and operational excellence of a complex multi-tenant SaaS platform serving enterprise and financial customers. As an SRE, you will work closely with DevOps, Platform Engineering, and product teams to improve system observability, incident response, and service resilience across the platform.
 
 
 This is a hands-on engineering role focused on building operational excellence through monitoring, automation, debugging, and continuous improvement. You will help ensure that issues are detected and addressed quickly while contributing to systems that
 
 improve platform reliability at scale.
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Reliability Engineering: Improve the reliability, availability, and resiliency of Obsidian&rsquo;s production systems and distributed services
 </li>
 <li>
 Detection &amp; Observability: Build and maintain monitoring, alerting, dashboards, and observability tooling to enhance system visibility and reduce operational noise
 </li>
 <li>
 Incident Response &amp; Operations: Support incident response, on-call operations, troubleshooting, and postmortem processes to drive operational excellence
 </li>
 <li>
 Collaboration: Partner with engineering teams to implement SLI/SLO practices, operational standards, and reliability-focused workflows
 </li>
 <li>
 Execution: Automate infrastructure operations, deployment workflows, and platform tooling across Kubernetes, cloud infrastructure, and data pipelines
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3-6 years of experience in Site Reliability Engineering, DevOps, Production Engineering, or related roles
 </li>
 <li>
 Experience operating and supporting production systems in AWS and/or GCP
 </li>
 <li>
 Familiarity with Kubernetes and Helm in cloud-native environments
 </li>
 <li>
 Experience with observability and monitoring tools such as Prometheus, Grafana, Datadog, or similar platforms
 </li>
 <li>
 Exposure to CI/CD systems such as GitLab CI/CD, GitHub Actions, ArgoCD, or equivalent
 </li>
 <li>
 Strong troubleshooting and debugging skills across distributed systems and microservices
 </li>
 <li>
 Experience writing automation or infrastructure tooling using scripting or programming languages
 </li>
 <li>
 Strong systems thinking and a collaborative engineering mindset
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 AI Agent development experience
 </li>
 <li>
 Experience supporting SaaS platforms in production environments
 </li>
 <li>
 Familiarity with incident management and postmortem practices
 </li>
 <li>
 Exposure to infrastructure-as-code and GitOps workflows
 </li>
 <li>
 Understanding of SLI/SLO concepts and operational metrics
 </li>
 <li>
 Experience with enterprise-scale monitoring or customer-facing production systems
 
 
 </li>
 </ul>
 
 Why This Role
 
 
 
 <ul>
 <li>
 Work on reliability challenges across a large-scale distributed SaaS platform
 </li>
 <li>
 Build and improve observability and operational tooling used across engineering
 </li>
 <li>
 Gain hands-on experience with cloud infrastructure, Kubernetes, and production systems
 </li>
 <li>
 Help safeguard critical services for enterprise and financial customers
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 Production issues are detected and resolved quickly
 </li>
 <li>
 Monitoring and alerting provide clear, actionable operational insights
 </li>
 <li>
 Reliability metrics and operational practices improve over time
 </li>
 <li>
 Engineering teams can effectively troubleshoot and self-serve observability
 </li>
 <li>
 Automation reduces operational toil and improves platform stability
 
 
 </li>
 </ul>
 Employee BenefitsOur competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our US based employees enjoy:Competitive compensation with equity and 401kComprehensive healthcare with dental and vision coverageFlexible paid time off and paid holiday time off 12 weeks of new parent or family leavePersonal and professional development resourcesFor more details on our US benefits, or for information on our international benefits, please see here.Pay TransparancyPlease note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location, as well as the knowledge, skills and experience of the candidate. In addition to a competitive base salary, this position is eligible for equity awards and may be eligible for sales commission or incentive compensation based on the role or function within the company.At Obsidian, we are proud to be an equal-opportunity employer. We value diversity and hire for talent, passion, and compassion. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization. If you have a need that requires accommodation, please contact accommodations@obsidiansecurity.comInformation collected and processed as part of any job applications you choose to submit is subject to Obsidian&rsquo;s Applicant Privacy Policy.
 
 
 Base Salary Range: &pound;95,000 GBP - &pound;117,000 GBP
</div>

Staff Site Reliability Engineer

<div><div>Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 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.

Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens&mdash;Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured.

With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.

With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.</div><h3 class="jobSectionHeader">
About the Role</h3>

As a Data Engineer at Obsidian, you'll:
<ul>
<li>Own and evolve the data pipelines behind one of Obsidian's core products</li>
<li>Build and maintain data transformations and orchestrated jobs that turn raw signal into attributed, enriched data at scale</li>
<li>Keep customer analytics datasets accurate, fresh, and reliable across multiple data stores</li>
<li>Extend and improve our data attribution engine, including its rule-based and LLM-assisted curation stages</li>
<li>Make occasional changes to the Go service that exposes this data through our APIs, working alongside backend engineers</li>
<li>Collaborate with product managers, backend engineers, and the teams who turn this data into customer-facing functionality</li>
<li>Champion data correctness, observability, and clean, testable transformations</li>
<li>Participate in code reviews and technical discussions to continuously raise engineering standards</li>
</ul><h3 class="jobSectionHeader">What's in it for you</h3>
<ul><li>Own the data foundations of a core product used by enterprises worldwide</li>
<li>Work alongside a talented, supportive team in a collaborative culture</li>
<li>Grow your skills across modern data tooling, streaming systems, and LLM-assisted workflows</li>
<li>Gain exposure to a cloud-agnostic platform spanning AWS and GCP</li>
<li>Be part of an innovative, growing company where your work makes a real impact</li>
<li>Enjoy hybrid working, with supported remote working and great office spaces in Cheltenham and Manchester</li>
</ul><h3 class="jobSectionHeader">Required Skills and Experience:</h3>
<ul><li>3&ndash;6 years of experience in a data engineering or software engineering role</li>
<li>Strong SQL and hands-on experience building production data pipelines</li>
<li>Experience with a modern data orchestrator such as Dagster, Airflow, or similar</li>
<li>Proficiency with a data transformation framework such as dbt</li>
<li>Proficiency in Python</li>
<li>Familiarity with Git and CI/CD tooling such as GitLab CI/CD</li>
<li>Familiarity with relational databases (e.g., Postgres) and cloud data warehouses</li>
<li>A bias toward data quality, testing, and maintainable, well-documented work</li>
<li>Experience collaborating in a team environment and adapting to changing requirements</li>
</ul><h3 class="jobSectionHeader">Desirable Experience</h3>
<ul><li>Experience with Databricks/Spark or other large-scale analytics platforms</li>
<li>Exposure to event/streaming systems such as Kafka</li>
<li>Existing Go experience for occasional API changes</li>
<li>Familiarity with containerization and orchestration (Docker, Kubernetes)</li>
<li>Exposure to LLM-assisted data workflows</li>
<li>Experience with cloud platforms (AWS or GCP) and object storage (S3/GCS)</li>
<li>Exposure to observability tooling such as Grafana or Prometheus</li></ul></div>

Data Engineer

<div><div>Obsidian Security is the leading SaaS security platform, trusted by global enterprises like Snowflake, T-Mobile, and Algolia. We protect 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.

Founded in 2017 and backed by top investors like Greylock, Obsidian was built to close a critical gap: securing SaaS apps where business happens&mdash;Microsoft 365, Salesforce, and hundreds more. The company does this by offering a complete SaaS security platform to reduce risk, detect and respond to threats, and prevent breaches at the source. Obsidian was built by leaders who redefined endpoint and identity security at CrowdStrike, Okta, Cylance, and Carbon Black. Now, they're transforming how SaaS is secured.

With AI driving rapid SaaS growth and complexity, agentic AI tools gain privileged access to sensitive data through integrations, creating new risks most security tools miss. Obsidian uniquely detects anomalous OAuth token activity and manages integration risks. Major announcements are on the horizon. Recognizing that SaaS security needs to evolve, Obsidian enables growing organizations to start with a lightweight, prevention-focused browser extension and expand coverage over time.

With global momentum, a growing partner ecosystem including SentinelOne, Databricks, and Google Cloud, and a major fundraise ahead, Obsidian is scaling rapidly toward long-term growth and IPO readiness.</div>
About the Role

We're hiring Security Data Engineers to join our Manchester team and work at the heart of our SaaS and AI security platform. This is a data engineering role first &mdash; you'll spend most of your time building and maintaining the data pipelines that power Obsidian's detection and analytics capabilities.

The role sits at an interesting intersection: the work is technically demanding data engineering, but the context is security. You don't need a security CV &mdash; you need to be a strong data engineer who is curious about how modern SaaS and AI platforms work, and what makes them risky.

What you'll do
<ul>
<li>Build and maintain data retrieval integrations across major SaaS and AI platforms &mdash; connecting to APIs, handling auth flows, and ensuring reliable telemetry ingestion.</li>
<li>Design and develop dbt models in SQL on Clickhouse and Databricks, transforming raw platform data into clean, structured datasets ready for analysis.</li>
<li>Build rule-based checks to identify risky configurations and unusual activity patterns across SaaS and AI platforms &mdash; translating security insight into logic.</li>
<li>Develop a working understanding of how SaaS and AI platforms are structured and where security risks emerge, to inform what data we collect and what we look for.</li>
<li>Debug data quality and detection issues in customer environments, working closely with the wider engineering and customer success teams.=</li>
</ul>
What we're looking for

Requirements
<ul>
<li>4+ years of hands-on data engineering experience, including dbt and SQL.</li>
<li>Strong SQL &mdash; you're comfortable writing complex data models and transformations from scratch.</li>
<li>Experience building or maintaining data pipelines that process high-volume event or log data.</li>
<li>Comfortable working with REST APIs and integrating data from third-party platforms.</li>
<li>Python proficiency for scripting, data manipulation, and pipeline logic.</li>
<li>Some exposure to security concepts &mdash; enough to understand what 'risky' looks like in a SaaS or cloud context.</li>
<li>This can come from working in a security company, cloud engineering, compliance, or your own interest.</li>
</ul>
Nice to have
<ul>
<li>Hands-on experience with Clickhouse or Databricks.</li>
<li>Familiarity with SaaS platforms such as Google Workspace, Microsoft 365, Salesforce, or Okta &mdash; from any angle (admin, engineering, or security).</li>
<li>Understanding of identity and authentication concepts: OAuth, SAML, SSO, and directory services.</li>
<li>Experience working with security telemetry &mdash; audit logs, API event streams, or similar.</li>
<li>Interest in AI/LLM platforms and how they introduce new security considerations.</li>
</ul>
Why join us
<ul>
<li>Work on a genuinely novel problem &mdash; securing SaaS and AI platforms is one of the fastest-moving areas in enterprise security.</li>
<li>Become a domain expert by learning from the industry's leading SaaS security team.</li>
<li>Ideas move fast here &mdash; you'll go from concept to customer impact in weeks, not quarters.</li>
<li>Work for a Silicon Valley-headquartered company without leaving Manchester &mdash; hybrid working, with a team and product that operates at the highest level globally.</li>
<li>Join a team that values engineering craft and gives you the space to do the work properly.</li></ul></div>

Senior Security Data Engineer

Join Obsidian Security and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Obsidian Security

About Company

Sr. Site Reliability Engineer

Staff Site Reliability Engineer

Data Engineer

Senior Security Data Engineer