Senior CloudOps & Site Reliability Engineer

MangoApps runs an enterprise SaaS platform that thousands of customers depend on every day. We're hiring a senior, hands-on engineer to own the reliability, availability, security, and performance of that platform in production, primarily on AWS. This is a deep individual-contributor role, not a management track. You'll spend your time in the systems: tuning infrastructure, building observability, automating away toil, and leading the technical response when production is on the line. You'll influence how the rest of engineering builds and operates reliable services through your work and your judgment, not through a reporting line.

If you get satisfaction from understanding a production system end to end, finding the real root cause instead of the convenient one, and making the next incident less likely, this role is built for you.

5+ years of hands-on Cloud Operations and Site Reliability Engineering, operating production-scale SaaS (not pre-production or internal-only systems).

You operate AWS at production scale today and can speak in specifics about AWS compute, networking, IAM, EKS/Kubernetes, and the operational realities of running real workloads there. A second cloud (Google Cloud or Azure) is a plus, not a substitute. We value it, but AWS depth is what the role is focused on.

You debug Linux at the level of "why is this latency spike happening," not just "restart the service."

Reliability & incident response - Keep the platform available and performant. Define and continuously sharpen monitoring, alerting, and observability. Lead production troubleshooting, drive root-cause analysis, and run post-incident reviews that actually change the system afterward. Participate in the on-call rotation for the services you own.

AWS infrastructure & operations - Design, deploy, and optimize our AWS infrastructure - compute, storage, networking, DNS, load balancing, and security services. Drive architectural improvements to enhance reliability, scalability, performance, and cost. Own disaster recovery and business-continuity processes, and prove they work before you need them. Containers & orchestration - Build and operate containerized workloads on Docker with a focus on security, performance, and predictable scaling across environments. Automation & Infrastructure as Code Provision - Build the scripts and tooling that make operations boring and repeatable. CI/CD & release engineering - Maintain CI/CD pipelines and deployment automation. Partner with engineering to make releases safer, faster, and easier to roll back. Security & compliance - Apply cloud security practices across IAM, network security, secrets management, and vulnerability remediation. Production-scale experience operating cloud infrastructure on AWS. Deep Linux systems administration, troubleshooting, and performance tuning. Hands-on Docker in production Solid networking fundamentals: Monitoring and observability with tools such as Prometheus, Grafana, ELK/OpenSearch, Datadog, or equivalents. Scripting and automation in Bash, Python, or similar. Git-based workflows and CI/CD pipelines; Strong incident management and root-cause analysis instincts, with a bias toward fixing the system, not the symptom.

Production experience on a second cloud (Google Cloud or Azure). Multi-region or multi-cloud operations at scale. Background in cloud security, compliance, and governance practices.

Sustained, high platform uptime against clear SLOs. Observability is good because it lets the team see problems before customers do. Engineering teams ship reliably because the operational foundation is solid.

You enjoy diagnosing and resolving complex infrastructure and production challenges. You stay current with evolving cloud, automation, and reliability practices. Collaborative: You work effectively across teams and communicate clearly, both in routine operations and in the middle of a critical incident. Customer-focused: You understand that infrastructure reliability directly shapes customer experience and business success.