Senior Software Engineer, Information Security

Ovii's Interpretation of the Role

We are seeking a senior software engineer to design and implement AI‑driven detection frameworks that protect our cloud and enterprise infrastructure. The role blends security engineering, threat‑intel integration, and machine‑learning tooling while mentoring the security team.

Role Snapshot

• Design enterprise detection logic
• Build AI‑powered security tooling
• Develop automation scripts in Python/Java/Bash
• Engineer log‑ingestion ETL pipelines
• Translate red‑team findings into controls
• Define detection standards across domains
• Mentor engineers and analysts

Must-Have Requirements

• Python
• Java
• Bash
• AWS (SageMaker, OpenSearch, Lambda, IAM)
• SIEM platforms (Splunk, OpenSearch, Securonix)
• STIX/TAXII, MISP
• MITRE ATT&CK, NIST CSF, Zero Trust, CIS Controls
• Security automation
• Machine Learning/NLP for security
• ETL pipeline development
• Compliance audit experience (SOC 2, FedRAMP, ISO 27001, HIPAA, SOX)
• software engineering
• security engineering
• SIEM detection development
• Bachelor's degree in Computer Science, Cybersecurity, or related field

Nice-to-Have Signals

• Splunk Certified Architect or Developer
• CISSP, CEH, GIAC GCED
• ML for anomaly detection or behavioral analytics
• Healthcare or financial‑services domain experience
• Enterprise vulnerability management
• machine learning for security
• regulated industry experience
• Master's degree (optional)
• Splunk Certified Architect
• CISSP
• CEH
• GIAC GCED
• healthcare
• financial services
• regulated industries

Work Setup

• Location: Mountain View, United States
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Relocation
• Coding test

What You'll Likely Work On

• Design high‑fidelity detections and correlation rules in SIEMs and OpenSearch
• Create AI‑driven detection tools that ingest threat‑intel feeds and apply ML/NLP
• Write production‑grade Python, Java, and Bash to automate security workflows and integrate cloud APIs
• Build and maintain ETL pipelines for log collection, normalization, and routing across multi‑cloud and on‑prem environments
• Convert red‑team, threat‑hunt, and pentest findings into durable detection improvements
• Establish reusable detection standards for endpoint, network, identity, and cloud domains
• Mentor engineers and analysts on secure coding, detection methodology, and architecture

Good Fit If You Have

• Experience in regulated sectors such as healthcare or financial services
• Security certifications (Splunk Architect, CISSP, CEH, GIAC GCED)
• Background in vulnerability management and CVSS prioritization
• Hands‑on work with ML for anomaly detection or security NLP