Senior Backend Engineer, Deployment Environments

🕒 Yesterday

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of GitLab

GitLab

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 Secondary Market on 2020-11

Artificial Intelligence • Enterprise • SaaS

GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.

📋 Description

• Build tooling and workflows for cloud-native and self-managed deployment environments. • Contribute to Cloud Native deployment guidance, including component requirements, architecture patterns, topology guidance, and scaling principles. • Improve ephemeral environments that bring validation closer to production reality. • Work across application, infrastructure, and platform boundaries to keep deployment artifacts and environment contracts consistent from development through production. • Partner with related teams on packaging, testing, delivery workflows, and customer-facing deployment guidance.

🎯 Requirements

• Strong backend engineering experience, ideally with Kubernetes-based systems, distributed applications, or platform engineering • Experience with deployment architecture, environment management, or cloud-native operations • Comfort working at the boundary of developer workflows and production infrastructure • Good systems thinking around service dependencies, deployment patterns, and infrastructure abstraction. • A collaborative, pragmatic approach to building durable platform capabilities

🏖️ Benefits

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave

Apply Now

Similar Jobs

🕒 2 days ago

Runware

11 - 50

🤖 Artificial Intelligence

🔌 API

📱 Media

Site Reliability Engineer ensuring reliability and performance of Runware's AI platforms. Collaborating across software, infrastructure, and operations to enhance observability and reduce incidents.

Distributed Systems

Kubernetes

MySQL

PHP

Python

RabbitMQ

Redis

Go

🕒 2 days ago

Ensono

1001 - 5000

Senior DevOps Consultant at Ensono delivering complex projects with deep engineering skills and a focus on quality. Engage in project lifecycle and collaborate with client teams in a remote setting.

AWS

Azure

Cloud

Google Cloud Platform

Java

JavaScript

Kubernetes

Node.js

Terraform

🕒 5 days ago

Salve.Inno

11 - 50

🎯 Recruiter

🤝 B2B

Senior Site Reliability Engineer responsible for maintaining and improving cloud platform reliability at Salve.Inno Consulting. Collaborating with engineering teams to implement best practices and drive operational excellence.

Ansible

AWS

DNS

Grafana

Kubernetes

Linux

Prometheus

Python

TCP/IP

Terraform

Go

🕒 5 days ago

Salve.Inno

11 - 50

🎯 Recruiter

🤝 B2B

Senior Site Reliability Engineer for Salve.Inno Consulting enhancing cloud platform reliability and driving operational excellence through observability and automation.

Ansible

AWS

DNS

Grafana

Kubernetes

Linux

Prometheus

Python

TCP/IP

Terraform

Go

🕒 5 days ago

Salve.Inno

11 - 50

🎯 Recruiter

🤝 B2B

Senior Site Reliability Engineer maintaining cloud platform reliability and performance for mission-critical services. Focusing on automation, incident response, and engineering collaboration across teams.

Ansible

AWS

DNS

Grafana

Kubernetes

Linux

Prometheus

Python

TCP/IP

Terraform

Go