Staff Security Software Engineer

DigitaloceanSeattle, WA
84d$183,040 - $228,800

About The Position

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 Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency. Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

Requirements

  • 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment.
  • Expert in writing robust code with good test coverage and demonstrated success in delivering projects.
  • Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
  • Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
  • Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery).
  • A customer-first mindset—aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
  • Excellent communication and documentation skills; able to clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders.
  • High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Nice To Haves

  • Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
  • Experience in building secure by default services and applications.
  • Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
  • Experience with Looker, Snowflake, dbt, and Airflow.

Responsibilities

  • Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
  • Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
  • Work with product and engineering teams to design and implement secure architectures.
  • Design and build internal tools that enable our Security Operations Center to do more, faster.
  • Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales.

Benefits

  • Competitive array of benefits to support well-being, including Employee Assistance Program and flexible time off policy.
  • Reimbursement for relevant conferences, training, and education.
  • Access to LinkedIn Learning's 10,000+ courses for continued growth and development.
  • Salary range between $183,040 - $228,800 based on market data, relevant years of experience, and skills.
  • Eligibility for a bonus based on company and individual performance.
  • Equity compensation including equity grants upon hire and participation in Employee Stock Purchase Program.
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