Senior Software Engineer

📍 United States

USD 132,000-182,000 per year

SENIOR

✅ Remote

Tech Stack
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AI API AWS @ 4 Azure @ 4 Communication @ 7 Data Engineering @ 6 Data Pipelines @ 4 Data Science Datadog DevOps Distributed Systems @ 6 Flink @ 4 GCP @ 4 Go @ 6 Grafana @ 4 IaC Java @ 6 Kafka @ 4 Kubernetes @ 4 LLM Leadership @ 7 MLOps @ 7 Machine Learning @ 7 Mentoring @ 7 Microservices NoSQL @ 7 Observability @ 4 OpenTelemetry @ 4 Parquet @ 4 Prometheus @ 4 PyTorch @ 7 Rust @ 6 SQL @ 7 Security Spark @ 4 Splunk Technical Leadership TensorFlow @ 7 Terraform @ 4

Details

About the Role

As a Senior Software Engineer at SentinelOne, you will lead the architectural design and technical strategy for high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers. You will drive technical excellence and lead complex engineering initiatives at scale for the Observo.ai team, an AI-driven data pipeline optimization platform.

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 seamlessly with major observability platforms (Splunk, Elastic, Datadog) while establishing 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 with expert-level proficiency in Go, Rust, or Java.
Extensive experience with cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes), and a proven track record leading and scaling data pipelines using Kafka, Spark, or Flink.
Deep expertise in database technologies (SQL and NoSQL) and 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, alongside extensive experience with Infrastructure as Code (Terraform).
Strong leadership and technical communication skills, with a track record of mentoring engineers, planning technical strategy, and driving decisions across multiple teams and stakeholders.