DeepTempo
DeepTempo is pioneering the use of foundation models in cybersecurity, delivering market-leading accuracy and adaptability across network, cloud, and application domains. Our LogLM™ technology processes massive streams of logs in near-real time, surfacing novel threats that traditional defenses miss with 1% or lower false positives. We are being used by a number of the largest enterprises, service providers, and governments to see and respond to attacks with lower MTTD and with greater accuracy. As we scale, we're seeking an experienced DevSecOps Engineer to strengthen our infrastructure capabilities and security posture while supporting our AI/ML workflows.
Role Overview As a Lead DevSecOps Engineer, you will:
Design, implement, and maintain secure, scalable infrastructure using Infrastructure as Code principles
Build and enhance our CI/CD pipelines with security controls and observability built-in
Develop comprehensive monitoring and observability solutions for both applications and infrastructure
Support MLOps workflows and AI model deployment pipelines
Collaborate with engineering teams to embed security practices throughout the development lifecycle
Drive automation initiatives that improve reliability, security, and operational efficiency
Key Responsibilities
Infrastructure as Code
: Design and implement infrastructure using Terraform, CloudFormation, or similar tools, ensuring repeatability and version control
Observability & Monitoring
: Build comprehensive monitoring, logging, and alerting systems for applications, infrastructure, and ML models using tools like Prometheus, Grafana, ELK stack, or cloud-native solutions
MLOps Support
: Design and maintain deployment pipelines for AI/ML models, including model versioning, A/B testing infrastructure, and performance monitoring
Platform Engineering
: Develop and maintain internal developer platforms and tooling that enable engineering teams to deploy securely and efficiently
Incident Response
: Participate in on-call rotations, troubleshoot production issues, and implement improvements to prevent future incidents
Cloud Architecture
: Design and optimize cloud infrastructure across AWS, Azure, or GCP with a focus on security, cost-efficiency, and performance
Automation
: Build automation tools and scripts to reduce manual operational overhead and improve system reliability
Minimum Qualifications
DevSecOps Experience
: 4+ years hands-on experience in DevOps, Platform Engineering, or Site Reliability Engineering with a strong security focus
Infrastructure as Code
: Proven experience with Terraform, CloudFormation, Pulumi, or similar IaC tools in production environments
Observability
: Deep experience implementing monitoring, logging, and alerting solutions using modern observability stacks
Cloud Platforms
: Strong experience with at least one major cloud provider (AWS, Azure, GCP) including security best practices
CI/CD
: Experience building and maintaining CI/CD pipelines with integrated security scanning and automated testing
Container Technologies
: Proficiency with Docker, Kubernetes, and container orchestration in production environments
Programming
: Solid scripting and programming skills in Python, Go, Bash, or similar languages
Security Mindset
: Understanding of security principles and secure coding practices
Preferred Qualifications
Experience with MLOps workflows, model deployment pipelines, and ML infrastructure (MLflow, Kubeflow, SageMaker, etc.)
Experience with scalable data processing workloads and technologies such as Apache Spark, Flink, Kafka, and RedPanda.
Deep experience with AWS.
Familiarity with AI agent coding tools and workflows
Experience with service mesh technologies and zero-trust networking
Knowledge of compliance frameworks (SOC 2, FedRAMP, GDPR) and implementation
Experience with log analysis platforms and security information systems
Contributions to open-source DevOps or security tools
Experience with federated learning or distributed ML systems
What We Value
Curiosity
: You ask the hard questions, dig into root causes, and relentlessly seek better solutions
Collaboration
: You thrive in cross-functional teams and elevate teammates through clear communication
Ownership
: You treat the business as your own, seeing projects through and iterating until they succeed
Adaptability
: You excel in a fast-moving environment, pivoting priorities as market and customer needs evolve
We are increasing in value rapidly - and offer attractive equity packages.
Seniority level Mid-Senior level
Employment type Full-time
Job function
Engineering and Information Technology
Industries
Computer and Network Security
Referrals increase your chances of interviewing at DeepTempo by 2x
Get notified about new Software Engineer jobs in
Menlo Park, CA .
#J-18808-Ljbffr
Role Overview As a Lead DevSecOps Engineer, you will:
Design, implement, and maintain secure, scalable infrastructure using Infrastructure as Code principles
Build and enhance our CI/CD pipelines with security controls and observability built-in
Develop comprehensive monitoring and observability solutions for both applications and infrastructure
Support MLOps workflows and AI model deployment pipelines
Collaborate with engineering teams to embed security practices throughout the development lifecycle
Drive automation initiatives that improve reliability, security, and operational efficiency
Key Responsibilities
Infrastructure as Code
: Design and implement infrastructure using Terraform, CloudFormation, or similar tools, ensuring repeatability and version control
Observability & Monitoring
: Build comprehensive monitoring, logging, and alerting systems for applications, infrastructure, and ML models using tools like Prometheus, Grafana, ELK stack, or cloud-native solutions
MLOps Support
: Design and maintain deployment pipelines for AI/ML models, including model versioning, A/B testing infrastructure, and performance monitoring
Platform Engineering
: Develop and maintain internal developer platforms and tooling that enable engineering teams to deploy securely and efficiently
Incident Response
: Participate in on-call rotations, troubleshoot production issues, and implement improvements to prevent future incidents
Cloud Architecture
: Design and optimize cloud infrastructure across AWS, Azure, or GCP with a focus on security, cost-efficiency, and performance
Automation
: Build automation tools and scripts to reduce manual operational overhead and improve system reliability
Minimum Qualifications
DevSecOps Experience
: 4+ years hands-on experience in DevOps, Platform Engineering, or Site Reliability Engineering with a strong security focus
Infrastructure as Code
: Proven experience with Terraform, CloudFormation, Pulumi, or similar IaC tools in production environments
Observability
: Deep experience implementing monitoring, logging, and alerting solutions using modern observability stacks
Cloud Platforms
: Strong experience with at least one major cloud provider (AWS, Azure, GCP) including security best practices
CI/CD
: Experience building and maintaining CI/CD pipelines with integrated security scanning and automated testing
Container Technologies
: Proficiency with Docker, Kubernetes, and container orchestration in production environments
Programming
: Solid scripting and programming skills in Python, Go, Bash, or similar languages
Security Mindset
: Understanding of security principles and secure coding practices
Preferred Qualifications
Experience with MLOps workflows, model deployment pipelines, and ML infrastructure (MLflow, Kubeflow, SageMaker, etc.)
Experience with scalable data processing workloads and technologies such as Apache Spark, Flink, Kafka, and RedPanda.
Deep experience with AWS.
Familiarity with AI agent coding tools and workflows
Experience with service mesh technologies and zero-trust networking
Knowledge of compliance frameworks (SOC 2, FedRAMP, GDPR) and implementation
Experience with log analysis platforms and security information systems
Contributions to open-source DevOps or security tools
Experience with federated learning or distributed ML systems
What We Value
Curiosity
: You ask the hard questions, dig into root causes, and relentlessly seek better solutions
Collaboration
: You thrive in cross-functional teams and elevate teammates through clear communication
Ownership
: You treat the business as your own, seeing projects through and iterating until they succeed
Adaptability
: You excel in a fast-moving environment, pivoting priorities as market and customer needs evolve
We are increasing in value rapidly - and offer attractive equity packages.
Seniority level Mid-Senior level
Employment type Full-time
Job function
Engineering and Information Technology
Industries
Computer and Network Security
Referrals increase your chances of interviewing at DeepTempo by 2x
Get notified about new Software Engineer jobs in
Menlo Park, CA .
#J-18808-Ljbffr