Senior Software Engineer – Fullstack

• Design and build robust backend components for large-scale, distributed cybersecurity platforms using Java, Scala, Python, and Node.js.
• Tackle frontend development for smaller features and bug fixes using JavaScript and JQuery.
• Troubleshoot production issues across the full stack—from the database to the UI—and partner with customers and stakeholders to resolve them efficiently.
• Partner closely with customers to identify and resolve infrastructure pain points, while elevating data clarity and the value of delivered security insights.
• Build and maintain machine learning-driven applications that leverage big data technologies like Spark, Hadoop, Hive, and Impala for real-time cybersecurity insights.
• Develop and maintain CI/CD pipelines using GitLab, with automation for building, testing, and deploying secure, high-quality software.
• Write automated tests, drive code coverage, and conduct performance testing to ensure application reliability.
• Work on security compliance initiatives including FIPS 140-2/3 and STIG requirements.
• Collaborate across SRE, infrastructure, data, and security teams to improve performance, scalability, and observability.
Monitor and analyze production systems using Splunk SPL, and other observability tools.

• 8+ years of software development experience, with deep backend expertise and full stack exposure.
• Strong programming skills in Java, Scala, Python, Node.js, and scripting languages like Shell.
• Hands-on experience with Linux environments including Red Hat, Ubuntu, and Oracle Enterprise Linux.
• Proven experience with distributed systems, Kafka, Zookeeper, and Protobuf.
• Expertise in containerization and orchestration using Docker and Kubernetes.
• Proficient with GitLab CI/CD, infrastructure automation, and test frameworks.
• Familiarity with frontend technologies including JavaScript and JQuery.
• Understanding of security frameworks such as FIPS and STIG.
• Strong analytical and communication skills; able to explain complex issues to technical and non-technical audiences.
Agile development experience and ability to work effectively across global, cross-functional teams.

• Familiarity with Splunk SPL, and other observability tools.
• Experience developing ML-based applications in the cybersecurity space.
• Exposure to performance tuning, incident response, and monitoring best practices in production environments.

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