Used Tools & Technologies
IaC LLMRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
Go @ 6
Grafana @ 4
Kafka @ 4
Kubernetes @ 4
Prometheus @ 4
DevOps @ 4
Terraform @ 4
SQL @ 4
Spark @ 4
GCP @ 4
Java @ 6
NoSQL @ 4
Datadog @ 4
Distributed Systems @ 6
Flink @ 4
Machine Learning @ 4
MLOps @ 7
Data Science @ 4
TensorFlow @ 7
Leadership @ 4
AWS @ 4
Azure @ 4
Communication @ 7
Data Engineering @ 6
Mentoring @ 7
Parquet @ 4
Rust @ 6
Microservices @ 4
API @ 4
Technical Leadership @ 4
Splunk @ 4
PyTorch @ 7
OpenTelemetry @ 4
Observability @ 4
AI @ 4
Data Pipelines @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow.
Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.
Responsibilities
- Lead the architectural design and technical roadmap for scalable, high-performance data processing pipelines capable of handling petabyte-scale telemetry data (logs, metrics, traces).
- Drive the development and optimization of ML-driven data routing and transformation engines to reduce customer data volumes by 80%+ while architecting real-time analytics systems using advanced machine learning and LLMs.
- Design cloud-native microservices and APIs that integrate with major observability platforms (Splunk, Elastic, Datadog).
- Establish robust monitoring, alerting, and observability solutions.
- Lead cross-functional technical initiatives and decision-making forums, collaborating with Product, Data Science, and DevOps teams to translate strategic vision into technical solutions and company-wide standards.
- Provide technical leadership and mentorship to senior and junior engineers, driving system performance and reliability optimization while establishing engineering best practices and culture.
Requirements
- 5+ years of software engineering experience focused on distributed systems, data engineering, or ML infrastructure.
- Expert-level proficiency in Go, Rust, or Java.
- Extensive experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes).
- Proven track record leading and scaling data pipelines using Kafka, Spark, or Flink.
- Deep expertise in database technologies (SQL and NoSQL).
- Advanced experience with machine learning frameworks (TensorFlow, PyTorch) and MLOps practices for production ML systems.
- Expert knowledge of observability tools and standards, including Prometheus, Grafana, ELK stack, OpenTelemetry, and Parquet.
- Extensive experience with Infrastructure as Code (Terraform).
- Strong leadership and technical communication skills, with a track record of mentoring engineers and driving decisions across multiple teams and stakeholders.
Benefits
- Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
- Unlimited PTO
- Industry-leading gender-neutral parental leave
- Paid company holidays and paid sick time
- Employee stock purchase program
- Disability and life insurance
- Employee assistance program
- Gym membership reimbursement
- Cell phone reimbursement
- Numerous company-sponsored events, including regular happy hours and team-building events
Compensation
This U.S. role has a base pay range that will vary based on the location of the candidate. Base Salary Range: $132,000—$182,000 USD.
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. SentinelOne participates in the E-Verify Program for all U.S. based roles.