ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 2 Π΄Π½Ρ Π½Π°Π·Π°Π΄
Staff Software Engineer (Cybersecurity)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Staff Software Engineer (Cybersecurity): Building scalable data pipelines, backend services, and platform capabilities that ingest, transform, store, and expose high-volume security data with an accent on cloud infrastructure, distributed systems, and near-real-time processing. Focus on improving observability and reliability, designing operationally sound services, and guiding technical implementation across engineering projects.
Location: Cordoba, Argentina
Company
is a cybersecurity company protecting people, data, and AI-agent workflows across email, cloud, and collaboration tools.
What you will do
- Design and implement data pipelines and datasets for emerging threat and campaign investigations.
- Build production services that expose security data to internal users in near real time.
- Develop scalable, maintainable systems for large, messy, high-volume datasets using modern cloud services.
- Build and maintain shared platform services, improve observability, strengthen reliability, and review architecture.
- Lead technical discussions, simplify shared systems, and guide implementation across projects and engineers.
- Ensure testing, monitoring, alerting, documentation, and long-term maintainability.
Requirements
- 7+ years of relevant engineering experience.
- Bachelorβs degree in Computer Science or a related technical field, or equivalent practical experience.
- Expert-level proficiency in at least one of Java, Golang, Node.js, Scala, or Go.
- Experience designing, building, and operating production software in a public cloud environment.
- Experience with relational databases and SQL, including MariaDB and MySQL, and recent hands-on experience with Elasticsearch.
- Experience building backend services, data pipelines, or other high-volume distributed systems; comfort with Linux/Unix and CLI-based workflows.
Nice to have
- Experience with AWS data and serverless services such as SQS, Lambda, Glue, or Spark.
- Experience with large-scale analytics or near-real-time data processing systems.
- Familiarity with containers.
Culture & Benefits
- Competitive compensation and comprehensive benefits.
- Flexible work environment.
- Annual wellness and community outreach days.
- Recognition for contributions and opportunities for career development.
- Global collaboration and networking opportunities.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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