Senior Security Automation Engineer — Data-Driven Impact

Fortra; United States; On-site; USD 130,000 - 155,000; Full time

Benefits offered by this job

Health, dental, and vision coverage as

Enrollment in 401(k), HSA, and FSA

Flexible PTO

Tuition reimbursement

ID Theft Protection Program

Job summary

Fortra is seeking an automation-focused software professional to analyze efficiency opportunities and drive automation in security operations. You will review processes, create proofs of concept, and work with stakeholders to define requirements.

Strong Python scripting, SQL data analysis, and cybersecurity knowledge are essential. Responsibilities include developing Python scripts, producing metrics on automation impact, and providing on-call support for applications.

Qualifications

• Bachelor's degree in Computer Science or 2-3 years of software development experience.
• 4-5 years of data analysis experience leveraging SQL.
• Understanding of joins, indexes, query optimization and relational table design.
• 4-5 years of scripting experience in Python.
• Experience with Flask, creating libraries, Python packaging and CI/CD.
• 3-4 years of experience in the Cybersecurity industry.
• Understanding of DNS, Proxies, Whois, SSL.

Responsibilities

• Develop scripts and applications in Python.
• Analyze data and processes to identify automation opportunities.
• Meet with stakeholders to define requirements and provide time estimates.
• Develop quick proof of concepts to vet ideas.
• Produce metrics showing automation impact.
• Monitor applications and troubleshoot errors.
• On-call support as needed for applications.

Skills

Python

SQL

Data analysis

Stakeholder communication

Education

Bachelor's degree in Computer Science

Tools

Flask

Python packaging

CI/CD

Job description

Fortra is seeking an automation-focused software professional to analyze efficiency opportunities and drive automation in security operations. You will review processes, create proofs of concept, and work with stakeholders to define requirements.

Strong Python scripting, SQL data analysis, and cybersecurity knowledge are essential. Responsibilities include developing Python scripts, producing metrics on automation impact, and providing on-call support for applications.