Senior Security Engineer, Intrusion Fraud and Analytics
- Full-time
Company Description
Who We Are:
Twitter is what’s happening and what people are talking about right now. For us, life's not about a job, it's about purpose. We believe real change starts with conversation. Here, your voice matters. Come as you are and together we'll do what's right (not what's easy) to serve the public conversation.
Job Description
You will be responsible for helping to protect Twitter customers’ data from intrusions, fraud, and abuse through a combination of threat modeling, data analysis, and machine learning. You will help identify and manage insider threat and system abuse risks and work with partner teams to detect, reduce, and manage them. You will design, advocate, and help build security analytics addressing internal and external threat concerns.
As a Senior Security Engineer, you will perform these key tasks:
Design and implement capabilities for monitoring, observability and detecting irregular and/or abnormal security activities
Aggregate, analyze, and evaluate technical data sources to identify security risks
Build sustainable processes of identifying signals and building threat models around them to enhance predictive capabilities
Coordinate with security partners to tune and improve detection capabilities or to aid in investigations or respond to incidents
Provide mentoring and guidance on technical security analytics related matters, methodologies, and techniques both within the team and to external partners
Qualifications
You care about security and building a secure environment for the people using Twitter everyday. You are curious, and have experience with the tools of the trade, comfortable digging into the details, and eager to help others protect our systems. Ideally, you have most of the following:
3 or more years of practical industry experience in applying analytics, machine learning, or data mining to fraud and abuse detection
Working knowledge of SQL, Spark, BigQuery, or Hadoop preferred
Knowledge of machine learning algorithms including classifiers, clustering algorithms, and anomaly detection
Experience with at least one of the following languages: Python, Scala, or Java
Undergraduate degree or equivalent experience with a focus on mathematical and statistical topics or other quantitative discipline
Excellent written communication skills
Additional Information
Additional Information: A few other things we value:
Challenge - We solve some of the industry’s hardest problems. Come to be challenged, learn, and thrive as an engineer.
Diversity - Diversity makes us a better organization and team. We value diverse backgrounds, ideas, and experiences.
Work, Life, Balance - We work hard, but we believe with hard work should come balance.
We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.
San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records
Notice (Colorado Equal Pay for Equal Work Act)
The expected salary range for this role to be performed in Colorado is USD$145,000.00 - USD$200,000.00. Starting pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. This range may be modified in the future.
This job is also eligible for participation in Twitter’s Performance Bonus Plan and Equity Incentive Plan subject to the terms of the applicable plans and policies.
Twitter offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, sick time, and parental leave. Twitter's benefits prioritize employee wellness and progressive support to our diverse workforce.