Software Development Engineer I - DevOps Engineer

Job Overview

As an SDE I – DevOps Engineer, you’ll be part of a high-impact team that builds and maintains secure, scalable, and reliable infrastructure to support our digital risk management platform. You'll work closely with engineering and operations teams, contributing to automation, CI/CD, infrastructure as code, and cloud optimization—gaining real-world experience while solving meaningful challenges.

This role is ideal for someone early in their DevOps career (1–3 years of experience), passionate about infrastructure, automation, and continuous improvement

Core Responsibilities:

• CI/CD Pipeline Support: Assist in building, maintaining, and improving CI/CD pipelines using tools like Jenkins and GitHub Actions to support faster and safer software delivery.
• Automation & DevOps Tooling: Contribute to automating infrastructure provisioning and deployments using tools like Terraform, Ansible, or similar.
• Infrastructure Management: Support the provisioning and management of AWS-based infrastructure, including Dockerized microservices running on ECS or Kubernetes.
• Monitoring & Observability: Set up and manage monitoring tools (e.g., Prometheus, Grafana, Datadog) to ensure system reliability and performance.
• Incident Response: Participate in incident resolution, root cause analysis, and postmortems to improve system reliability and response processes.
• Collaboration: Work with engineering and operations teams to implement DevOps best practices and promote a culture of operational excellence.
• Cloud Cost Optimization: Assist in tracking and reporting cloud resource usage and identifying opportunities to optimize costs.
• Continuous Learning: Stay up to date with industry trends and emerging tools/technologies in DevOps and cloud computing.

Qualifications/ Essential Skills/ Experience:

• 1–3 years of hands-on experience in a DevOps, SRE, or infrastructure-focused role.
• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience).
• Exposure to AWS or other cloud providers (GCP, Azure) and understanding of cloud-based architecture.
• Practical knowledge of Infrastructure as Code (Terraform, CloudFormation, Ansible, etc.).
• Experience working with Docker and basic understanding of container orchestration with ECS or Kubernetes.
• Familiarity with CI/CD pipelines and tools (e.g., Jenkins, GitHub Actions).
• Basic scripting skills in Bash, Python, or similar.
• Exposure to monitoring and logging tools like Prometheus, Grafana, Datadog, or New Relic.
• Understanding of microservices and experience working with at least one message broker (e.g., Kafka, RabbitMQ).
• Exposure to SQL or NoSQL databases and knowledge of basic performance optimization techniques.

Preferred Skills (Nice to Have)

• Experience with Kubernetes (deployment, scaling, troubleshooting).
• Exposure to deploying or managing data pipelines, and AI models..
• Interest in cloud cost governance and optimization tools (e.g., AWS Cost Explorer, CloudHealth).

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! 🚀