Job description

As a Security Engineer on Security Detections and Operations team you will build and shape the core infrastructure and toolkits to allow detection software engineers, detection and IR data scientists to develop, train, evaluate, deploy, and operate Machine Learning models and pipelines. Along with that, you will build systems for these teams to provide access to curated LLMs. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges.

You will have the opportunity to lead engineers to drive involved projects from technical design to launch. You will also collaborate with other teams and internal customers to set expectations, gather input and communicate results.

Responsibilities

• AWS infrastructure and security management.

• Data Encryption using KMS and certificates.

• Monitoring the infra hosts and distributing, scaling the required instances based on the load using AWS Lambda functions.

• Building AWS EC2 instances to run different use cases while building POC’s

• Securing S3 buckets with limiting the AWS IAM roles and adding required bucket policies

• Environment: Lake Formation, KMS, AWS EC2, S3 and Lambda.

• Performed all necessary day-to-day Bitbucket/GIT/TeamCity support for different projects and Responsible for design and maintenance of the Bitbucket/GIT Repositories, views, and the

• access control strategies.

• Data pipeline code and package scanning using GitLab/GitHub SAST and DAST scanning tools.

• Review and submit PR to Git repositories with required content and make sure Repositories are secure.

• Making sure the code base has proper access controls in place using Bitbucket and Git settings.

• Monitor the Builds in TeamCity for regular code changes.

• Managing Data and AI security with Databricks.

• Configuring Databricks Environment and Security using Terraform.

• Data Governance using Databricks Unity Catalog.

• Creating risk profile for using Databricks AI Security Framework (DASF).

• Monitoring user activities to detect security anomalies in Databricks.

• Configuring AI/ML Security Ops in Databricks.

• Environment: Terraform, DASF, Databricks.

Qualifications

• Fluency in at least one modern object-oriented programming language (preferably Python, Java/Kotlin).

• B.S. M.S. in Engineering or STEM discipline with emphasis on Data Science/AI

• At least 1-4 years experience in real world AI cybersecurity applications.

• The engineer should have deep background in statistical modeling and techniques and experience with multimodal data sets. A large part of their programming experience would be focussed on pre & post processing logs, models, and performance dashbaords.

• Understanding of Machine Learning project lifecycle and tools.

• Experience building and operating large scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking).

• Experience with Continuous Delivery and Continuous Integration.

• Experience with Databricks or Apache Spark.

Please email your resume to srini@wingullc.com to apply for above position