Software Development Engineer III - DevOps Engineer

Safe 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.

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.

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.

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.