Senior Software Engineer – Application Reliability (Kubernetes, GCP, SQL), Hybrid

engineeringjobs.net, Inc.; Milwaukee (WI); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Matching

Paid Parental Leave

Short-Term Disability Coverage

Long-Term Disability Coverage

Life Insurance

Paid Holidays

Floating Holiday

Birthday Leave

Year-End Holiday Shutdown

Personal Wellness Days

Paid Vacation

Sick Leave

Family Emergency Leave

Volunteer Leave

Annual Bonuses

Restricted Stock Units

Job summary

engineeringjobs.net, Inc. is seeking a seasoned Reliability Engineer to own application-level reliability for AI-powered features, defining SLI/SLOs, error budgets, and building observability dashboards and automated diagnostic agents.

You will lead incident response and reliability improvements using operational analytics and Python tooling, collaborating with application, data, and infrastructure teams to reduce incidents and improve production stability.

Qualifications

• Requires at least 7 years of software engineering experience focused on reliability, observability, or production operations.
• Candidates must have a bachelor’s or master’s degree in a relevant technical discipline.
• Strong Python and SQL skills with production GCP experience (GKE, BigQuery, Bigtable) or equivalent.

Responsibilities

• Define SLI/SLOs, error budgets, and observability dashboards for AI-powered features.
• Lead application incident response and reliability improvements using operational analytics and Python tooling.
• Collaborate with application, data, and infrastructure teams to improve production reliability.

Skills

Python

Kubernetes

Google Cloud Platform

BigQuery

Bigtable

SQL

Application Reliability

Observability

SLI/SLO Frameworks

LangGraph

AI Agent Engineering

Looker

Distributed Tracing

Incident Response

Automated Remediation

Generative AI

Education

Bachelor's or Master's degree in a relevant technical discipline

Tools

Looker

LangGraph

Job description

Own application-level reliability for AI-powered features by defining SLIs, SLOs, and error budgets, and building observability dashboards and automated diagnostic and remediation agents. Lead application incident response and reliability improvements, using operational analytics, Python tooling, and collaboration with application, data, and infrastructure teams.

Requirements: Requires at least 7 years of software engineering experience focused on reliability, observability, or production operations, plus a bachelor's or master's degree in a relevant technical discipline. Candidates need strong Python and SQL skills, production GCP experience with GKE, BigQuery, and Bigtable or an equivalent, and experience operating application-level SLI/SLO frameworks and debugging production applications.

Key Skills: Python, Kubernetes, Google Cloud Platform, BigQuery, Bigtable, SQL, Application Reliability, Observability, SLI/SLO Frameworks, LangGraph, AI Agent Engineering, Looker, Distributed Tracing, Incident Response, Automated Remediation, Generative AI

Benefits: Medical Insurance, Dental Insurance, Vision Insurance, 401(k) Matching, Paid Parental Leave, Short-Term Disability Coverage, Long-Term Disability Coverage, Life Insurance, Paid Holidays, Floating Holiday, Birthday Leave, Year-End Holiday Shutdown, Personal Wellness Days, Paid Vacation, Sick Leave, Family Emergency Leave, Volunteer Leave, Annual Bonuses, Restricted Stock Units