Most boards and executives are currently flying blind when it comes to cyber risk. They are guessing. At Safe, we’ve built an AI-driven engine that finally gives the C-Suite a clear, quantified, and real-time view of their security posture. We don’t just provide data; we provide certainty.
We are a $170M Series C-funded category leader. We don’t play in the mid-market; we operate at the highest levels of global enterprise. Today, we are proud to serve 10% of the Fortune 500, protecting global icons such as Apple, Netflix, AT&T, Verizon, and Victoria’s Secret.
As we scale toward our next chapter, we are looking for high-performers who want to do the best work of their careers at the intersection of AI and Cybersecurity.
The Culture Memo: Our Operating SystemSafe is not a typical corporate environment. We are a high-intensity, mission-driven team. We value builders who want to define a category and work alongside people who are equally committed to excellence.
Extreme Ownership: We don’t do "not my job." We hire people who see a gap and own the solution from start to finish.
The Elite Standard: We serve the most sophisticated companies on the planet. Our work must be bulletproof. Whether it’s a line of code or a sales deck, we aim for Tier-1 quality every time.
Methodology & Rigor: We don’t wing it. From Force Management and MEDDICC in sales to data-driven sprints in engineering, we rely on proven frameworks to stay disciplined and predictable.
Radical Candor: We move too fast for politics or sugar-coating. We value direct, honest feedback that helps us find the right answer quickly.
The Series C Hustle: We have the stability of a well-funded leader but the heart of a startup.
We want our team to feel like owners because they are owners. We trust our people to manage their results and their time.
Meaningful Equity: Every "Safestar" is a shareholder. You aren’t just an employee; you are a partner in our success.
Unlimited Leaves: We don’t believe in clock-watching. We offer unlimited leave because we trust you to take the time you need to recharge while staying committed to the mission.
Comprehensive Benefits: We provide top-tier medical insurance and wellness benefits to ensure you and your family are well cared for.
Career Trajectory: We are growing aggressively. For high-performers, the path for advancement moves at the speed of your ambition.
Job Overview:
As a Senior DevOps Engineer, you will play a critical role in designing, implementing, and maintaining secure and scalable infrastructure while driving automation initiatives to improve system observability, availability, reliability, and performance. You will lead efforts in infrastructure provisioning, capacity planning, and CI/CD pipeline management, ensuring the seamless delivery of our services.
Core Responsibilities:
CI/CD Pipeline Management: Build and maintain CI/CD pipelines to facilitate efficient and reliable software delivery.
DevOps Tooling: Envision, implement, and roll out cutting-edge DevOps tooling and automation to streamline development and deployment processes.
Cloud Cost Optimization: Develop strategies and implement measures to optimize cloud costs while maintaining system performance and reliability.
Incident Response: Practice sustainable incident response strategies and participate in peer reviews and postmortems to continuously improve system reliability.
Infrastructure Management: Manage our multi-environment infrastructure deployed in AWS cloud, comprising Dockerized microservices in AWS ECS & various data stores and queueing technologies.
Automation: Leverage modern solutions like Terraform & Ansible to reduce manual efforts and increase efficiency.
Cross-team Collaboration: Engage with multiple teams, the Engineering team and the Operations team to define and implement best practices to achieve operational excellence.
Problem Solving: Troubleshoot and resolve complex technical issues, identifying root causes and implementing effective solutions.
Continuous Improvement: Drive innovation and adopt best practices in development, architecture, and technology stack to promote organizational growth and success.
Qualifications/ Essential Skills/ Experience:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Minimum of 5+ years of proven experience as a DevOps Engineer or in a similar capacity.
Strong understanding of Infrastructure as Code tools using AWS CloudFormation, Terraform, Ansible, Puppet, Chef, or an equivalent.
Extensive experience with cloud computing concepts and utilizing major cloud service providers (e.g., AWS, GCP, Azure) to design and optimize cloud-based solutions.
In-depth knowledge of Docker, with practical exposure to container networking, storage interfaces, orchestration, deployment, scaling, monitoring, and troubleshooting.
Strong experience with monitoring and alerting tools such as Datadog, Grafana, Prometheus, or New Relic
Functional knowledge of microservice architecture & hands-on experience with Kubernetes-based workload troubleshooting & best practices.
Strong understanding of scripting languages like Bash, Python, etc.
Hands-on experience in CI/CD with tools such as Jenkins, GitHub Actions, etc.
Functional knowledge and understanding of SQL and NoSQL databases, and experience in optimizing database performance at scale.
Preferred: Previous experience in deploying and managing machine learning models and developing data pipelines.
Familiarity with Kafka, RabbitMQ, Redis, and other distributed infrastructure components.
Strong hands-on experience in AWS cloud infrastructure (Professional Certification preferred)
Strong hands-on expertise in Kubernetes (EKS preferred) with a deep understanding of cluster architecture, networking, autoscaling, scheduling, ingress controllers, and storage management.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, or related field
- Minimum 5+ years of experience as a DevOps Engineer or similar
- Strong understanding of Infrastructure as Code tools
- Extensive experience with cloud computing concepts and service providers
- In-depth knowledge of Docker and container networking
- Experience with monitoring and alerting tools
- Knowledge of microservice architecture and Kubernetes
- Understanding of scripting languages like Bash and Python
- Experience in CI/CD with tools like Jenkins or GitHub Actions
- Understanding of SQL and NoSQL databases
- Familiarity with Kafka, RabbitMQ, Redis, and distributed components
- AWS cloud infrastructure experience (Professional Certification preferred)
- Expertise in Kubernetes (EKS preferred)
What We Do
Safe Security is a pioneer in the “Cybersecurity and Digital Business Risk Quantification” (CRQ) space. It helps organizations measure and mitigate enterprise-wide cyber risk in real-time using it’s ML Enabled API-First SAFE Platform by aggregating automated signals across people, process and technology, both for 1st & 3rd Party to dynamically predict the breach likelihood (SAFE Score) & $$ Value at Risk of an organization Headquartered in Palo Alto, Safe Security has over 200 customers worldwide including multiple Fortune 500 companies averaging an NPS of 73 in 2020. Backed by John Chambers and senior executives from Softbank, Sequoia, PayPal, SAP, and McKinsey & Co., it was also one of the Top Contributors to the National Vulnerability Database(NVD) of the U.S. Government in 2019 and the ATT&CK MITRE Contributor in 2020. The company, since 2018, has also been working with MIT in joint research for the development of their SAFE Scoring Algorithm. Safe Security has received several awards including the Morgan Stanley CTO Innovation Award.
