The Security Engineering team at Uber is focused on making the production and corporate environments secure by default to provide industry-leading solutions for Uber's production services and infrastructure.
About The Role
As a Senior Software Engineer in the Enterprise Security team, you will leverage your solid software engineering background in building solutions to ensure the protection of Enterprise Applications from evolving cyber threats. You will be responsible for designing, implementing, and maintaining advanced security solutions to strengthen Uber's security posture by securing various enterprise applications (incl third party SaaS), improving automation and efficiency.
What The Candidate Will Need / Bonus Points
---- What the Candidate Will Do ----
Design and implement secure architectures for enterprise applications, ensuring industry best practices.
Hands-on coding and code reviews
Deploy, configure, and manage a variety of enterprise security solutions, and the Enterprise Application Security Posture Management (SSPM) platform.
Continuously monitor, analyze, and remediate security risks across enterprise applications.
Develop and maintain security documentation, policies, and best practices for enterprise application security.
Provide technical and engineering support to security and IT teams performing regular security assessments
Basic Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
6+ years of experience in software engineering
Strong hands-on technical skills, including proficiency in one or more programming languages (Go, Java, Python, C/C++) and code reviews
Deep understanding of software engineering fundamentals, including algorithms, data structures, system design, and architecture.
Excellent analytical and problem-solving skills, with the ability to assess security risks and implement effective solutions.
Passion for innovation
Preferred Qualifications
Knowledge of cybersecurity concepts, tools, and best practices. Certifications in Security is a plus
Experience with AI/ML technologies / frameworks and incorporating them into production systems
Experience with SQL, Kafka and databases (including Spark, Hive, SQL, No-SQL etc)
Experience with modern development practices (e.g., CI/CD, microservices, cloud platforms like AWS/GCP).
Experience in building out integrations with open-source and vendor products
Experience with automation and scripting (e.g., Python, Bash) for security operations
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