Python Technical Lead - DevOps

Job Summary

BU is seeking a skilled Site Reliability Engineer (DevSecOps) in Production Engineering with a strong

background in SaaS, operations and security. The resource will design and manage large-scale, highly

available distributed systems in the cloud, collaborating directly with application development teams

to enhance the reliability, performance, and security of our platform.

Key Responsibilities

Collaborate with software engineers to optimize architecture and services for availability,

latency, performance, and reliability using cloud-native tools.

• While staying updated on industry best practices, design and implement scalable and

reliable operations tooling to support platform growth and scaling across multiple regions.

• Design, deploy, maintain AWS cloud-native services that are elastic and resilient to failure.
• Participate in and improve our 24x7 incident response and on-call rotation.
• Use and expand our existing CNCF solutions like Kubernetes, Service Mesh, Prometheus,

OpenTelemetry, and ArgoCD to increase platform reliability.

• Automate production operations to provide guardrails and continuous platform operation.
• Develop automation solutions for scalable service and platform operations, including

deployment, scale testing, graceful failure, and chaos testing.

• Identify and provide solutions to common obstacles hindering operational excellence across

engineering teams.

• Generalize and standardize solutions and processes to enable repeated success across our

microservice-based multi-region platform.

• Play a key role in the ThousandEyes platform by leveraging scale testing, additional

environments, and working with application teams to improve system reliability.

• Manage a rapidly growing infrastructure capable of handling substantial daily data volumes,

emphasizing operations/infrastructure/everything as code

Skill Requirements

Hands-on experience (3+) deploying, operating, and troubleshooting containerized

workloads in production Kubernetes environments.

• Professional experience diagnosing and administrating Linux/Unix systems, including process

management, file systems, and networking protocols (TCP/IP, DNS, HTTP).

• Professional experience developing automation tooling, operational scripts, or backend

services using Python or Go.

• Practical experience building hardened container images and integrating automated security

scanning tools (SAST, DAST, or container vulnerability scanners) into CI/CD pipelines.

• Familiarity with best practices for operating a large-scale, highly available enterprise

platform.

• Excellent communication and documentation skills with strong sense of ownership, drive,

and attention to detail

Other Requirements