Job Summary:At OpenGov bold ideas ship daily and rapid iteration turns directly into measurable customer impact. We stay relentlessly aligned with customer outcomes while pushing the frontier of AI-driven software development, using cutting-edge AI tools and techniques to build systems that scale.
As a
Sr. DevOpsEngineer at OpenGov, you'll build best-in-class multi-tenant SaaS solutions that enable efficiency, transparency, and accountability within government agencies. You'll be a key member of our engineering team, building software, delivering new cloud infrastructure, and automating CI/CD processes in a fast-paced, agile environment using modern technologies, including
GitHub Actions, Terraform, Kubernetes, Azure/AWS, ArgoCD, and Grafanain in an AI first engineering culture.Responsibilities:- Collaborate across the organization to understand and translate business priorities into shipped features delivering customer success.
- Generate clean, efficient, and well-documented software following industry best practices.
- Architect, deploy, and maintain a highly available and scalable multi-tenant SaaS environment in AWS.
- Implement and manage infrastructure as code using tools such as Terraform or CloudFormation.
- Optimize AWS services for cost-efficiency, performance, and reliability.
- Ensure high reliability and disaster recovery readiness across all AWS services.
- Enforce security policies, procedures, and standards to protect sensitive data.
- Implement best practices for securing AWS resources, including VPC configurations, IAM roles, security groups, and network ACLs.
- Work with compliance teams to ensure adherence to regulations and industry standards such as SOC2 and StateRamp.
- Design, build, and maintain robust CI/CD pipelines using tools like Jenkins, GitHub Actions, or CircleCI.
- Facilitate seamless integration and continuous deployment processes to ensure rapid and reliable delivery of new features and patches.
- Set up and manage comprehensive monitoring and alerting systems using tools like CloudWatch, Prometheus, or Grafana.
- Develop and implement incident response protocols; lead incident investigations and post-mortems.
- Provide mentorship and training to junior engineers, fostering a culture of continuous learning and improvement.
- Collaborate with cross-functional teams to define technical requirements and deliver high-quality solutions.
Requirements and Preferred Experience:- Thrives in a fast-paced, high-growth, ambiguous environment.
- Demonstrated experience in working with customers to improve product experiences
- Experience working across the stack (frontend + backend) and comfort shipping features end-to-end
- Experience building with AI-driven UX, agents, and workflow automation (direct ML experience not required)
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in software engineering with a deep focus on cloud operations, security, and DevOps.
- 2+ years of running Kubernetes at scale and in production on public clouds
- Proficiency in at least one modern programming language (e.g., Python, Java, Go, or Ruby).
- Proven track record in designing and managing AWS infrastructure for SaaS applications.
- Extensive experience with infrastructure as code tools such as Terraform or CloudFormation.
- Strong knowledge of AWS services, including EC2, RDS, S3, VPC, IAM, and Lambda, among others.
- Expertise in CI/CD tools like Jenkins, GitHub Actions, CircleCI, or equivalent.
- Advanced skills in monitoring and logging tools such as CloudWatch, Prometheus, or Grafana.
- In-depth understanding of cloud security practices, including encryption, identity and access management (IAM), and network security.
- Strong problem-solving skills with a proactive approach to identifying issues and delivering solutions.
- Excellent communication skills with the ability to collaborate effectively across various teams.
Compensation: Boston, MA: $175,000 - $195,000
On target ranges above include base plus a portion of variable compensation that is earned based on company and individual performance.
The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate's geographical location.
