Tech Lead
Accelerated Focus
jQueryMS SQL Server.NETSQL
Senior Staff Software Engineer – Observo AI
SentinelOne
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $180,000 - $248,000 per year
Job Level
Senior
Tech Stack
ApacheAWSAzureCassandraCloudDistributed SystemsDockerGoGoogle Cloud PlatformGrafanaJavaKafkaKubernetesMicroservicesMongoDBMySQLNoSQLPostgresPrometheusPyTorchRedisRustScikit-LearnSparkSplunkSQLTensorflowTerraform
About the role
- 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, filtering, and transformation engines to reduce customer data volumes by 80%+ while preserving critical insights
- Architect and implement real-time analytics and anomaly detection systems using advanced machine learning techniques and large language models
- Design cloud-native microservices and APIs that integrate seamlessly with major observability platforms (Splunk, Elastic, Datadog, New Relic)
- Establish robust monitoring, alerting, and observability solutions for distributed systems operating at enterprise scale
- Lead cross-functional technical initiatives, collaborating with Product, Data Science, and DevOps teams to translate strategic vision into technical solutions
- Drive system performance, cost efficiency, and reliability optimization through advanced profiling, testing, and infrastructure design
- Provide technical leadership and mentorship to senior and junior engineers, establishing engineering best practices and culture
- Evaluate and introduce emerging technologies in AI/ML, data engineering, and observability to maintain competitive advantage
- Participate in technical decision-making forums and contribute to company-wide engineering standards and practices
Requirements
- 10+ years of software engineering experience with a focus on distributed systems, data engineering, or ML infrastructure in high-growth SaaS environments
- Expert-level proficiency in Go, Rust, or Java with a deep understanding of system design patterns, software architecture principles, and performance optimization
- Extensive experience with cloud platforms (AWS, GCP, Azure) and container orchestration technologies (Kubernetes, Docker) at enterprise scale
- Proven track record leading and scaling data pipelines using technologies like Apache Kafka, Apache Spark, Apache Flink, or similar streaming frameworks
- Deep expertise in database technologies, including both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, Redis) systems with experience in data modeling and optimization
- Advanced experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps practices for production ML systems at scale
- Expert knowledge of observability and monitoring tools and practices, with experience architecting solutions using Prometheus, Grafana, ELK stack, and similar platforms
- Comprehensive understanding of data formats, protocols, and standards used in enterprise observability (OpenTelemetry, StatsD, syslog, JSON, Parquet)
- Extensive experience with Infrastructure as Code tools (Terraform, CloudFormation) and CI/CD pipelines for automated deployment and testing
- Strong leadership and technical communication skills with experience driving technical decisions across multiple teams and stakeholders
- Track record of mentoring engineers and establishing technical standards and best practices in complex engineering organizations
- Experience with technical strategy and roadmap planning for large-scale distributed systems
- 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
leadershiptechnical communicationmentorshipcollaborationstrategic vision translationtechnical decision-makingengineering best practicescost efficiency optimizationperformance optimizationcross-functional teamwork
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineeringadvanced degree preferred
