Tech Lead
Accelerated Focus
jQueryMS SQL Server.NETSQL
Senior Software Engineer – Observo AI
SentinelOne
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $128,000 - $176,000 per year
Job Level
Senior
Tech Stack
ApacheAWSAzureCassandraCloudDistributed SystemsDockerGoGoogle Cloud PlatformGrafanaJavaKafkaKubernetesMicroservicesMongoDBMySQLNoSQLPostgresPrometheusPyTorchRedisRustScikit-LearnSparkSplunkSQLTensorflowTerraform
About the role
- Design and implement scalable, high-performance data processing pipelines capable of handling petabyte-scale telemetry data (logs, metrics, traces)
- Build and optimize ML-driven data routing, filtering, and transformation engines to reduce customer data volumes by 80%+ while preserving critical insights
- Develop real-time analytics and anomaly detection systems using advanced machine learning techniques and large language models
- Architect cloud-native microservices and APIs that integrate seamlessly with major observability platforms (Splunk, Elastic, Datadog, New Relic)
- Implement robust monitoring, alerting, and observability solutions for distributed systems operating at enterprise scale
- Collaborate with Product and DevOps teams to translate customer requirements into technical solutions
- Optimize system performance, cost efficiency, and reliability through continuous profiling, testing, and infrastructure improvements
- Mentor junior engineers and contribute to engineering culture through code reviews, technical design discussions, and knowledge sharing
- Stay current with emerging technologies in AI/ML, data engineering, and observability to drive innovation and competitive advantage
Requirements
- 5+ years of software engineering experience with focus on distributed systems, data engineering, or ML infrastructure in high-growth SaaS environments
- Expert-level proficiency in Go, Rust or Java with strong understanding of system design patterns and software architecture principles
- Deep experience with cloud platforms (AWS, GCP, Azure) and container orchestration technologies (Kubernetes, Docker)
- Proven track record in building and scaling data pipelines using technologies like Apache Kafka, Apache Spark, Apache Flink, or similar streaming frameworks
- Strong background in database technologies, including both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, Redis) systems
- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps practices for production ML systems
- Expertise in observability and monitoring tools and practices, with experience integrating with platforms like Prometheus, Grafana, or ELK stack
- Solid understanding of data formats, protocols, and standards used in enterprise observability (OpenTelemetry, StatsD, syslog, JSON, Parquet)
- Experience with Infrastructure as Code tools (Terraform, CloudFormation) and CI/CD pipelines for automated deployment and testing
- Strong analytical and problem-solving skills with the ability to optimize complex systems for performance, cost, and reliability
- Excellent communication skills with experience collaborating across engineering, product, and customer-facing teams
- Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred
Benefits
- Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
- Unlimited PTO
- Industry-leading gender-neutral parental leave
- Paid company holidays
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
GoRustJavaApache KafkaApache SparkApache FlinkPostgreSQLMySQLMongoDBTensorFlow
Soft skills
analytical skillsproblem-solving skillscommunication skillsmentoringcollaboration
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineering
