Senior Software Engineer

About Zscaler

Zscaler (NASDAQ: ZS) accelerates digital transformation so that customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange is the company’s cloud-native platform that protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. 

With more than 10 years of experience developing, operating, and scaling the cloud, Zscaler serves thousands of enterprise customers around the world, including 450 of the Forbes Global 2000 organizations. In addition to protecting customers from damaging threats, such as ransomware and data exfiltration, it helps them slash costs, reduce complexity, and improve the user experience by eliminating stacks of latency-creating gateway appliances. 

Zscaler was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. Zscaler’s purpose-built security platform puts a company’s defenses and controls where the connections occur—the internet—so that every connection is fast and secure, no matter how or where users connect or where their applications and workloads reside.

Job Summary:

We are seeking a highly skilled and experienced Backend Engineer to join our team. The ideal candidate will be responsible for developing and maintaining the analytics pipeline that drives insights and decision-making across our organization. This role demands a strong background in databases, SQL, analytics, and optimization to ensure efficient data handling and processing.

• Be a part of a startup team in the company, working on creating a new product.
• Engage in the development of state-of-the-art Gen AI technology.

Key Responsibilities:

Develop and Optimize Analytics Pipeline:

• Design, build, and maintain scalable and robust backend systems for our analytics pipeline.
• Optimize data processing and storage mechanisms for performance and efficiency.

Database Management:

• Implement and manage database solutions to store and retrieve large datasets.
• Write complex SQL queries for data manipulation and retrieval.
• Ensure database performance, integrity, and reliability.

Data Analytics Integration:

• Collaborate with data scientists and analysts to integrate advanced analytics and machine learning models into the pipeline.
• Develop APIs and services for data access and manipulation.

Performance Optimization:

• Monitor and optimize the performance of the backend systems.
• Implement caching, indexing, and other optimization techniques.

Quality Assurance:

• Ensure the accuracy and integrity of data throughout the pipeline.
• Implement automated tests and conduct code reviews to maintain high code quality.

Collaboration and Support:

• Work closely with other engineering teams to integrate the analytics pipeline into the broader system architecture.
• Provide technical support and guidance on backend and database-related issues.

Personal Attributes:

• Excellent problem-solving skills and attention to detail.
• Strong analytical and critical thinking abilities.
• Excellent communication and teamwork skills.
• Self-motivated with a passion for continuous learning and improvement.

Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field.
• 6+ years of industry experience
• Proven experience as a Backend Engineer or similar role, with a focus on analytics and databases.
• Expertise in SQL database technologies
• Strong knowledge of data structures, algorithms, and software engineering principles.
• Proficiency in a backend programming language (e.g., Python, Java).
• Familiarity with cloud services (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• US resident

Personal Attributes:

• Excellent problem-solving skills and attention to detail.
• Strong analytical and critical thinking abilities.
• Excellent communication and teamwork skills.
• Self-motivated with a passion for continuous learning and improvement.

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