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Senior Security Analyst IDigitalOcean • United States
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Senior Security Analyst I

DigitalOcean
  • US
    United States
  • US
    United States
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Über

Senior Security Analyst I
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. We are looking for a highly experienced and motivated Senior Security Analyst who is passionate about advanced security monitoring, detection engineering, threat hunting, and maturing Insider Threat programs. As a Senior Security Analyst at DigitalOcean reporting to the Manager, Security Defense Engineering, you will lead and own critical aspects of our insider threat program, shaping how we detect, respond to, and prevent internal risks and malicious threats. You will leverage deep expertise to engineer sophisticated detection capabilities, develop metrics to measure program effectiveness, and drive continuous improvement across alerting and response functions. You will collaborate closely with DFIR, Threat Intelligence, HR, Legal and other cross-functional teams to close detection gaps and elevate the organization's overall security posture. What You'll Do
Own and evolve the insider threat program strategy, ensuring alignment with evolving threat landscapes, privacy considerations, and business priorities. Advise on and implement preventative controls, balancing risk reduction against user friction for engineers. Engineer and automate end-to-end insider-threat detection and investigation workflows across DigitalOcean's cloud and corporate environments. Build, measure, and tune detection content and risk-scoring logic on UEBA / SIEM / DLP / UAM platforms; reduce false positives while keeping coverage sustainable. Work closely with Infrastructure Security Engineers to identify log sources, integrate, and maintain data pipelines (e.g., log sources, forwarders, parsing, enrichment) feeding insider-risk analytics. Develop a use-case library with corresponding playbooks and escalation procedures. Investigate anomalous activity (e.g., access abuse, data exfiltration, IP/source-code theft, including novel risks in AI/GPU infrastructure) and provide technical evidence to support cases. Partner with HR, Legal, and other necessary teams; communicate findings to technical and non-technical stakeholders. Uphold investigation and analytic tradecraft standards including confidentiality, objectivity, lawfulness, and timeliness. Manage and safeguard sensitive information, including case files, employee PII, and intelligence reports. Perform data analytics in large datasets using modern data science tools and techniques (e.g., Pandas) to spot anomalies and trace behaviors across disparate datasets. Perform intelligence analysis including pattern-of-life, time-series, clustering/grouping, visualization, and write clear-and-actionable reports. Stay ahead of the evolving threat landscape by tracking emerging insider risk TTPs, regulatory requirements, and best practices in privacy-preserving monitoring. What You'll Bring (Qualifications)
6+ years in detection & response, insider risk, or security engineering. Hands-on experience with UEBA, SIEM, DLP, UAM/SOAR concepts and tooling. Scripting proficiency (e.g., Python, Go, Bash) for detection content and automation. Familiarity with macOS, Windows, Linux, Kubernetes, and cloud infrastructure. Working knowledge of adversary tactics, data exfiltration techniques, and frameworks (MITRE ATT&CK, NIST). Demonstrated discretion and ethical judgment handling sensitive employee data. Nice To Have
Data-science/anomaly-detection background, prior work securing AI/ML or GPU infrastructure Compensation Range:
$140,800 - $176,000 *This is a remote role JR: 2026-8010 #LI-Remote Why You'll Like Working for DigitalOcean
We innovate with purpose.
You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development.
At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being.
Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees.
The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal-opportunity employer.
We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit:
You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
  • United States

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  • English
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