Software Engineer (II) | Reliability & Automation

This is an exciting opportunity to join a leading global organization that is at the forefront of technological innovation, impacting millions of users worldwide. You'll be part of a team that is dedicated to pushing the boundaries of what's possible, contributing to systems that define the future of technology.

We are seeking a versatile Generalist Software Engineer for a high-velocity, 6-month project supporting our machine learning serving ecosystem. This is not a traditional infrastructure or low-level systems role. Instead, it is a 50/50 hybrid of software development and optimization focused on moving microservices from a legacy stack to a next-generation platform.

Your primary mission is to act as a "T-shaped" developer who can jump into ambiguous technical situations, understand the code, safely execute migrations, and write scripts/documentation to automate yourself out of manual toil.

• Execute System Migrations: Support the systematic migration of clients and internal pipelines from a legacy stack to a next-generation serving stack while keeping high-load live services running smoothly.
• Drive Automation & Reduce Toil: Identify repetitive, manual operational tasks in the migration workflow and write code/scripts to automate them.
• Dynamic Troubleshooting: Triage incoming operational tickets and resolve novel bugs/issues on live-serving architectures using an analytical engineering mindset.
• Technical Documentation: Author clear runbooks and technical documentation detailing deployment dependencies so that future processes are highly repeatable.
• Cross-Team Collaboration: Coordinate directly with internal engineering clients and reliability teammates to outline implementation game plans and manage risks.

• The Ultimate Generalist: Language-agnostic developer who is highly adaptable and comfortable reading/understanding various codebases (e.g., Python, Java, Go, TypeScript).
• Exceptional Communicators: Ability to explain complex technical issues dynamically across different depths-whether diving deep with a peer or keeping it high-level for stakeholders.
• Navigators of Ambiguity: High curiosity and the professional courage to experiment, ask sharp questions, and troubleshoot environments that lack a pre-defined playbook.
• Ecosystem Familiarity: Prior experience navigating massive, complex internal microservice frameworks and proprietary tooling (experience with large-scale cloud platforms or Google internal systems is a massive plus).
• Track Record over Tenure: We care about your capability and history of effective project delivery, not raw years of experience; junior-to-mid level developers with strong autonomy are highly encouraged to apply.

• Deep knowledge of machine learning model internals or neural networks.
• A Computer Science degree or background in a specific niche industry.
• Low-level Linux internals or networking hardware expertise.

• Duration: 6-month temporary contract.
• Location: In-person collaboration in the Pittsburgh, PA area

**About Aquent Talent:**

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

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