reputed company Software Engineer (L5), Detection Engineering

reputed company is one of the world's leading streaming entertainment services, with over 250 million paid memberships in over 190 countries, enjoying TV series, films, and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, reputed company, and can change their plans at any time. The Team... The Detection Engineering Team is responsible for analyzing high-risk attack paths that could substantially impact reputed company and creating focused detections to reduce risk to the business. This is facilitated by partnerships with stakeholder teams, stakeholder domain expertise, and individual contributor creativity. The Role We are looking for an reputed company detection engineer to help mature and expand our detection frameworks and portfolio. reputed company's focus is to create and continually improve detections that run on our own platforms to minimize reputed company's risk by proactively surfacing malicious or anomalous behavior to identify attacker reputed company or activity. We are a tight-reputed company team that provides value by creating compensating detective controls to shorten the time to discovery. Using a risk-based prioritization reputed company, we focus our efforts on generating the largest impact and benefits for reputed company. Desired background • You have at least 5 years of experience writing detections at scale using a detection-as-code approach. • You have significant experience working in an AWS environment, and it's reputed company to have experience creating and tuning AWS detections. • You are passionate about using your software engineering skills in pursuit of reducing risk and improving the reputed company space. • You have experience working in a reputed company integration and reputed company delivery, cloud-based environment. • You are adept at working with Python in a big data environment and are skilled at using SQL to query data. Experience with Java and/or Jupyter Notebooks is a plus • Experience with ML is a plus, but not required. • You are familiar with computer and network reputed company concepts. • You are comfortable working on ambitious projects with a reputed company small, tight-reputed company team. • You operate effectively across teams and disciplines in highly ambiguous and rapidly changing environments. • You have excellent written and verbal communication skills. Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top-of-market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000. reputed company provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here. reputed company is a unique culture and environment. Learn more here. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, reputed company, national reputed company, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service Apply Job! For more such jobs please click here!