About The Role In this role, you will work at the intersection of network security, data science, and software engineering, focusing on developing detection logic against real-world telemetry. You will treat detections as code, meaning they will be version-controlled, peer-reviewed, tested, measured, and continuously improved to maximize true-positive coverage while reducing false positives.
In this role, you will work at the intersection of network security, data science, and software engineering, focusing on developing detection logic against real-world telemetry. You will treat detections as code, meaning they will be version-controlled, peer-reviewed, tested, measured, and continuously improved to maximize true-positive coverage while reducing false positives. You will primarily work with network telemetry, including NetFlow, DNS queries, TLS certificate data, SMB filenames, and other L7 metadata extracted from firewall connection records. Over time, you will also help evolve detection capabilities as the platform incorporates endpoint and identity signals.
Responsibilities
Design and build behavioral models to detect malicious activity and identify meaningful anomalies in network behavior
Develop detections for attack techniques such as beaconing, DGA, data staging, lateral movement, DNS tunneling, scanning, port hopping, and unusual remote administration activity
Translate concrete detection use cases into production-ready detection logic, signatures, and behavioral indicators
Collaborate with threat intelligence teams, including Cisco Talos, to convert emerging threat research into actionable detection content
Build, evaluate, and continuously tune detections using efficacy metrics such as precision, recall, false-positive rate, and MITRE ATT&CK coverage
Use production-scale telemetry on Databricks to validate and improve detection performance
Work with engineering teams to productionize detections as part of a SaaS service, with potential deployment to on-premise environments
Support threat hunting, investigations, and triage activities with detection expertise
Use threat intelligence platforms and OSINT sources to enrich detections with current threat context, reputation data, and IOCs
Apply networking and network security knowledge to model traffic behavior and create precise, low-noise detection logic
Document detection methodology, assumptions, tuning decisions, and share knowledge across security and engineering teams
Requirements
Proven experience developing code-like detection content for network threats, including rule-based, signature-based, or behavioral detections
Strong knowledge of networking and network security, including TCP/IP, DNS, HTTP/S, TLS, SSH, traffic analysis, network architecture, and common attack vectors
Coding or scripting proficiency for detection development and data analysis, especially with Python and SQL
Experience with rule languages or detection formats such as Sigma, Snort, Suricata, or similar
Practical experience applying AI/ML techniques to security detection, including anomaly detection, classification, or behavioral modeling
Experience with SecOps workflows, including threat hunting, incident investigation support, and improving detections based on operational findings
Experience using threat intelligence tools, feeds, and OSINT sources to enrich and contextualize detection logic
Familiarity with detection frameworks such as MITRE ATT&CK and mapping detections to adversary tactics and techniques
Experience with NDR platforms, security analytics, or SIEM solutions
Strong analytical and problem-solving skills, with high attention to detail
Clear documentation and cross-team communication skills
Endpoint security experience is a strong plus, but not mandatory
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
Security Detection Engineer in Warsaw – pracodawca: SoftServe Inc.
SoftServe Inc. oferuje elastyczne opcje pracy oraz możliwość współpracy z zespołem ekspertów w dziedzinie AI i Data Science. Pracownicy mają szansę na rozwój zawodowy poprzez mentoring oraz udział w innowacyjnych projektach związanych z generatywną AI i systemami wieloagentowymi. Firma stawia na budowanie silnych relacji z klientami, co sprzyja dynamicznemu rozwojowi kariery.