WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Site Reliability - Software Engineer (II)

THE JUDGE GROUP, INC.
Pittsburgh, PA, United States
2 months ago
Apply on dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$174,720.0 - $187,200.0
Working hours
Regular working hours
Job source
dice.com

Tech stack

Airflow Cloud Computing Distributed Computing Environment Data Flow Control Machine Learning Reliability Engineering Software Engineering Apache Spark Containerization Kubernetes Apache Kafka Data Pipelines
+1 more
Docker

Requirements

We are seeking a Site Reliability - Software Engineer (II) who is a developer at heart but loves solving massive scalability challenges. In this role, you will write production-grade code to build and scale the automated pipeline infrastructure powering next-generation Machine Learning (ML) workloads at a global scale., * 3 to 5+ years of software engineering experience.

  • Solid hands-on experience with containerization and orchestration at scale (Docker, Kubernetes).
  • Exposure to distributed data processing or pipeline orchestration (e.g., Airflow, Kubeflow, Kafka, Spark, or Cloud Dataflow).
  • SRE Mindset: Clear understanding of reliability fundamentals like SLOs, SLAs, and horizontal scaling.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

4:36 min

Hiring passionate software engineers to tackle unprecedented scaling challenges

Dana Lawson Dana Lawson +1 · World Congress 2026 Europe

4:04 min

Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · World Congress 2022

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Alibaba Big Data and Machine Learning Technology thumbnail
43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

Docker Compose: Rediscovered thumbnail
28:40
Europe 2026 Virtual • 2 months ago

Docker Compose: Rediscovered

Matthieu Vincent

Understanding Kubernetes in a visual way thumbnail
29:05
World Congress 2026 Europe • about 2 months ago

Understanding Kubernetes in a visual way

Aurélie Vache

Microservices: how to get started with Spring Boot and Kubernetes thumbnail
1:02:46
LIVE • about 5 years ago

Microservices: how to get started with Spring Boot and Kubernetes

Aleksandr Kalikov

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps thumbnail
35:19
Coffee With Developers • 4 months ago

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

Hazal Mestci, Raph Terrier

Related articles

See all