The Senior DevOps Engineer is responsible for designing and maintaining secure infrastructure, driving automation, and managing CI/CD pipelines to enhance system performance and reliability.
At SAFE Security, our mission is bold and ambitious: We Will Build CyberAGI — a super-specialized system of intelligence that autonomously predicts, detects, and remediates threats. This isn’t just a vision—it’s the future we’re building every day, with the best minds in AI, cybersecurity, and risk. At SAFE, we empower individuals and teams with the freedom and responsibility to align their goals, ensuring we all move towards this goal together.
We operate with radical transparency, autonomy, and accountability—there’s no room for brilliant jerks. We embrace a culture-first approach, offering an unlimited vacation policy, a high-trust work environment, and a commitment to continuous learning. For us, Culture is Our Strategy—check out our Culture Memo to dive deeper into what makes SAFE unique.
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 3+ 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.
- Working knowledge of streaming and queueing systems such as Kafka and RabbitMQ, including configuration, setup, and management.
- Preferred: Previous experience in deploying and managing machine learning models and developing data pipelines.
If you’re passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that’s redefining security—we want to hear from you! 🚀
Top Skills
Ansible
Aws Cloudformation
Bash
Chef
Datadog
Docker
Github Actions
Grafana
Jenkins
Kafka
New Relic
NoSQL
Prometheus
Puppet
Python
RabbitMQ
SQL
Terraform
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