This role pays more than
64%
of similar roles. Most pay
$136,125–$204,299
— the shaded band above.
At the midpoint, this role pays about
$182k
versus about
$170k
for comparable roles.
Based on 240 similar postings.
Employer
About Adobe
Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software
Adobe currently has
218 open roles
on FindRole.
Listed pay typically runs
$187,100–$270,950
across 216 roles with salary data.
As a Software Development Engineer on the Developer Experience team, you will develop and operate highly available API and AI gateway infrastructure on Kubernetes. You will build services, controllers, automation, and self-service tools using Go or Python while utilizing AI-assisted development for coding, testing, and documentation. Your daily responsibilities include managing API routing, load balancing, rate limiting, DNS, TLS, and service-to-service connectivity. You will also develop GitOps deployment workflows using Helm and Argo CD to improve platform reliability through observability and automated remediation. The role involves building AI-powered capabilities for log analysis and infrastructure tools while ensuring secure environments for AI agents and MCP servers. Key technologies include Envoy, Contour, NGINX, and various networking protocols like HTTP and OAuth to solve complex problems in distributed systems and cloud networking.
What does a Software Development Engineer earn in California?
Median $217725 from 77 postings across 8 companies.
Develop and operate highly available API and AI gateway infrastructure on Kubernetes.
Build services, controllers, automation tools, and self-service features using Go or Python.
Create AI-powered capabilities for log analysis, issue diagnosis, and automated remediation.
Manage networking components including routing, load balancing, rate limiting, DNS, and TLS.
Develop GitOps deployment workflows using Kubernetes, Helm, Argo CD, and custom resources.
Improve platform reliability through observability, automation, and multi-region resource management.
Secure infrastructure for AI agents and MCP servers with authentication and usage controls.
Convert recurring operational tasks into scalable automation or AI-powered solutions.
What we're looking for
Strong infrastructure and software engineering experience.
Proficiency in Go or Python for creating production-ready tools and services.
Hands-on experience with Kubernetes, cloud networking, distributed systems, and API gateways.
Experience with Envoy, Contour, NGINX, or similar proxy and ingress technologies.
Knowledge of HTTP, DNS, TLS, OAuth, JWT, API security, load balancing, and rate limiting.
Experience with Helm, Argo CD, GitOps, and infrastructure automation.
Ability to use AI coding tools while maintaining high engineering, testing, and production standards.
Bachelor’s or postgraduate degree in a technical field (preferred); 5+ years of experience in infrastructure, platform, or software engineering (preferred).
Java
Scala
Python
C++
Go
Generative AI
Microservices
Cloud-native Architecture
CI/CD
GitOps
Argo CD
Container Orchestration
Data Structures
Algorithms
Object-Oriented Design
Clean Architecture
TypeScript
React
Node.js
Python
LLMs
Microservices
Cloud Infrastructure
API Development
Prompt Orchestration
Agentic Frameworks
AI Workflows
Automated Testing
System Design