Site Reliability Engineer Sylmar - CA - California

* Job Summary

* We are seeking an experienced engineer who can analyze, diagnose, and optimize performance and reliability of large-scale distributed systems. This role requires deep technical understanding across the entire application stack, the ability to read and reason about code, and the capability to provide data-backed answers to both engineering teams and business stakeholders.

* This role goes beyond traditional operations or DevOps. The successful candidate will think like a software engineer, act like a systems engineer, and operate with a production-first mindset.

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* Key Responsibilities

* Performance & Reliability Engineering

* Analyze and resolve performance issues such as high latency, slow login, throughput degradation, and system instability.

* Perform deep, end-to-end investigations across the full stack including:

* Load balancers and traffic routing

* Web server and application runtime configurations

* Middleware and messaging systems

* Database performance (queries, indexing, pooling)

* Kubernetes clusters (pods, resources, scaling behavior)

* Linux OS tuning (CPU, memory, IO, ulimits, networking)

* Identify root causes and propose clear, actionable engineering solutions.

* Distributed Systems Design

* Design, review, and influence high-performance, highly-available distributed architectures.

* Evaluate trade-offs related to scalability, latency, fault tolerance, and cost.

* Partner with development teams early to prevent reliability and performance issues before production.

* Capacity Planning & Scalability

* Assess system readiness for growth scenarios such as:

* We plan to onboard 10,000 users in 6 months - can the system support it?

* Perform capacity and scale analysis for:

* Application tiers

* Databases

* Messaging systems

* Kubernetes compute and storage

* Provide evidence-based recommendations supported by metrics, benchmarks, and production data.

* Engineering Collaboration

* Work closely with software engineering teams to:

* Review performance-critical code paths

* Propose improvements at code, configuration, or infrastructure level

* Improve system observability (metrics, logs, traces)

* Communicate complex technical findings clearly to both engineers and business stakeholders.

* Required Technical Skills

* Strong understanding of distributed systems and performance engineering

* Ability to read, analyze, and troubleshoot Java code

* Hands-on experience with:

* Kubernetes (resource management, scaling, container behavior)

* Linux internals and tuning

* PostgreSQL (queries, indexing, performance optimization)

* Proven experience building or operating high-availability, high-throughput systems

* Strong analytical and problem-solving skills with a data-driven approach

* Nice to Have

* Experience with Azure cloud services

* Messaging systems such as ActiveMQ

* Load testing and benchmarking experience

* Background in roles such as SRE, Performance Engineering, Platform Engineering

Required Skills & Qualifications

Technical Skills

* Hands-on experience with cloud platforms (Azure.

* Strong scripting skills (e.g., Python, Bash, PowerShell, or similar).

* Experience with deployment pipelines, automation, and monitoring tools.

* Solid understanding of cloud infrastructure, networking, and application operations.

LLM & AI Experience

* Practical experience working with Large Language Models (LLMs).

* Familiarity with applying LLMs to engineering or operational workflows is required.

Professional Attributes

* Strong desire to learn and deeply understand complex systems.

* Self-starter with the ability to take ownership and drive initiatives independently.

* Demonstrates leadership, accountability, and problem-solving mindset.

* Strong collaboration and communication skills