Site Reliability Engineer

engineeringjobs.net, Inc.; Sunnyvale (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

engineeringjobs.net, Inc. is seeking an engineer to investigate and resolve performance and reliability issues across application, infrastructure, database, Kubernetes, and Linux layers, while recommending evidence-based improvements.

The role entails designing scalable, highly available distributed systems, planning capacity, improving observability, and collaborating with engineering teams and business stakeholders to deliver robust solutions.

Qualifications

• Requires hands-on experience with distributed systems, performance engineering, Java troubleshooting, Kubernetes, Linux tuning, PostgreSQL optimization, cloud platforms, scripting, deployment automation, and monitoring.
• Candidates must also have practical LLM experience, strong analytical and communication skills, and the ability to take ownership and work collaboratively.

Responsibilities

• Investigate and resolve performance and reliability issues across application, infrastructure, database, Kubernetes, and Linux layers, and recommend evidence-based improvements.
• Design and assess scalable, highly available distributed systems, plan capacity, improve observability, and collaborate with engineering teams and business stakeholders.

Skills

Distributed Systems

Performance Engineering

Java

Kubernetes

Linux Internals And Tuning

PostgreSQL

Azure

Python

Bash

PowerShell

High Availability

Capacity Planning

Monitoring And Observability

Deployment Pipelines

Large Language Models

Tools

PostgreSQL

Kubernetes

Azure

Job description

Investigate and resolve performance and reliability issues across application, infrastructure, database, Kubernetes, and Linux layers, and recommend evidence-based improvements. Design and assess scalable, highly available distributed systems, plan capacity, improve observability, and collaborate with engineering teams and business stakeholders.

Requirements: Requires hands-on experience with distributed systems, performance engineering, Java troubleshooting, Kubernetes, Linux tuning, PostgreSQL optimization, cloud platforms, scripting, deployment automation, and monitoring. Candidates must also have practical LLM experience, strong analytical and communication skills, and the ability to take ownership and work collaboratively.

Key Skills: Distributed Systems, Performance Engineering, Java, Kubernetes, Linux Internals And Tuning, PostgreSQL, Azure, Python, Bash, PowerShell, High Availability, Capacity Planning, Monitoring And Observability, Deployment Pipelines, Large Language Models