Backend Software Engineer - Big Data (Hadoop, Spark)+ ML (8-12 yrs)

Meet the Team

Cisco Cloud Security Group is at the forefront of developing cloud-delivered security needs and challenges of our customers. The Cloud Security group focuses on developing cloud delivered security solutions (SaaS based) in a platform centric approach. This group was formed a couple of years ago by combining some of existing cloud assets Cisco had with two hugely successful acquisitions - OpenDNS and CloudLock. Our vision is to build the most complex security solutions in a cloud delivered way with utmost simplicity - disrupt industry's thinking around how deep and how broad a security solution can be while keeping it easy to deploy and simple to manage. We are at an exciting stage of this journey and looking for a passionate, innovative and action-oriented engineering leader to build next-gen cloud security solutions like Cloud Firewall, IPS, IDS etc.

We are seeking a skilled developer to join our control plane team. The ideal candidate will design, develop, and maintain scalable software solutions that detect anomalies in large-scale data environments. This role requires strong programming skills, experience with machine learning or statistical anomaly detection techniques, and the ability to work collaboratively in a fast-paced environment.

Your Impact :

• Develop, test, and deploy software components for anomaly detection systems.
• Collaborate with data scientists and engineers to implement machine learning models for anomaly detection.
• Optimize algorithms for real-time anomaly detection and alerting.
• Analyze large datasets to identify patterns and improve detection accuracy.
• Maintain and enhance existing anomaly detection infrastructure.
• Participate in code reviews, design discussions, and agile development processes.
• Troubleshoot and resolve issues related to anomaly detection applications.
• Document development processes, system designs, and operational procedures.
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 8+ years of relevant industry experience on development
• 5+ Strong proficiency in programming languages such as Python, Java, Go.
• 5+ Experience with big data technologies (e.g., Hadoop, Spark, Flink) and data processing pipelines.
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Knowledge of anomaly detection techniques and statistical analysis.
• Understanding of cloud platforms and Distributed Databases (Snowflake, Clickhouse) with experience in containerization. Hands on and sound knowledge in technologies such as Kafka, Kubernetes, NoSQL.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
  
  

Preferred Qualifications:

• Experience working on anomaly detection or cybersecurity systems.
• Background in data science, statistics, or related fields.
• Familiarity with monitoring and alerting tools.
• Experience with CI/CD pipelines and automated testing.
  
  

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