Senior Software Engineer, DevOps

November 19

Apply Now

Receive Emails with Similar Jobs

Mighty Networks

WebsiteLinkedInAll Job Openings

SaaS • B2B • Education

Mighty Networks is a community platform that enables users to create and manage vibrant online communities, courses, memberships, and events. By leveraging AI, it helps community leaders to enhance member engagement and facilitate connections between users through a feature called People Magic. This platform empowers creators by offering a suite of tools for launching paid memberships and courses, and even creating branded mobile apps. Mighty Networks aims to provide a seamless experience for building profitable, high-retention communities quickly and efficiently.

51 - 200 employees

Founded 2011

☁️ SaaS

🤝 B2B

📚 Education

📋 Description

• Architect and evolve AWS-based cloud infrastructure for high-scale, worldwide availability • Operate and optimize Kubernetes clusters, Helm charts, and containerized services • Design and maintain CI/CD pipelines (Jenkins, GitHub Actions) to streamline builds, testing, and deployments • Drive Infrastructure as Code practices using Terraform • Implement modern observability with Datadog • Automate infrastructure provisioning, upgrades, and no-downtime deployments • Integrate AI-powered tooling into workflows to accelerate automation, debugging, and reliability • Mentor teammates and lead by example in DevOps and platform best practices • Participate in incident response, root cause analysis, and resilience improvements

🎯 Requirements

• 6+ years of engineering experience with a strong focus on infrastructure, DevOps, and cloud platforms • Deep expertise with AWS: scaling, networking, security, and cost optimization • Proven experience with Kubernetes, Helm, and container orchestration at scale • Strong background in CI/CD systems (Jenkins, GitHub Actions, or similar) • Skilled in Infrastructure as Code with Terraform • Experience managing databases (PostgreSQL, Elasticsearch) and performing no-downtime upgrades • Familiarity with modern observability and SRE practices • Comfortable using AI and automation tools as part of daily engineering work • Strong communicator with a collaborative, systems-thinking mindset