Backend Software Engineer

· Sentinelone
United States
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$132,000.0 - $182,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Databases Customer Data Management Information Engineering DevOps Distributed Systems Internet Security
+29 more
Machine Learning NoSQL Performance Tuning Tensorflow Prometheus Software Engineering SQL Databases Parquet Datadog Data Processing Google Cloud Pytorch Large Language Models Grafana Apache Spark Deep Learning Reliability of Systems Backend Kubernetes Apache Flink Apache Kafka Data Management Machine Learning Operations Terraform Splunk SentinelOne Expertise Data Pipelines Elk Stack Microservices

Job description

  • 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., Amazon Web Services (AWS), Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Automation, Best Practices, Cancer, Cellular Telephone, Cloud Computing, Coaching, Communication Skills, Cost Control, Cross-Functional, Customer/Client Research, Data Management, Data Processing, Data Science, Database Technology, DevOps, Distributed Computing, Editing, Employee Assistance Plan, Endpoint Security, Engineering, Flexible Spending Accounts, GCP (Good Clinical Practices), Health Insurance, Insurance, International Business, Internet Security, Java, Leadership, Legal, Machine Learning, Mentoring, Metrics, Microservices, Microsoft Windows Azure, NoSQL, Performance Tuning/Optimization, Problem Solving Skills, Process Capability, Process Improvement, Production Systems, Reimbursement, Rust Programming Language, SQL (Structured Query Language), Software Engineering, Splunk, Stock Purchase Plans, Strategic Planning, Systems Reliability, Technical Leadership, Technical Strategy, Technical/Engineering Design, Telemetry, Willing to Travel

Benefits & conditions

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards

  • Restricted Stock Units (RSUs)
  • Employee Stock Purchase Plan (ESPP)

Time Off & Wellbeing

  • Flexible time off
  • Paid company holidays and paid sick time
  • Gender-neutral parental leave
  • Grandparent leave

Insurance & Financial Security

  • Medical, dental, and vision coverage
  • 401(k) retirement plan with company match
  • Life and disability insurance
  • Health and dependent care FSA
  • Voluntary benefits (hospital, accident, critical illness)
  • Employee Assistance Program (EAP)
  • ARAG pre-paid legal
  • Nationwide pet insurance
  • Cancer Care program
  • Global business travel medical insurance

Work Perks & Flexibility

  • Home office allowance
  • Mobile phone reimbursement

Wellness & Lifestyle

  • Wellness coach
  • Wellness/gym reimbursement
  • Fertility coverage
  • Adoption & surrogacy reimbursement

This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions. Base Salary Range $132,000-$182,000 USD

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles.

About the company

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

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. What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As a Senior Software Engineer, you will be tasked with leading 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, our cutting-edge AI-driven data pipeline optimization platform. What Will You Do?

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerbuilder.com

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