Join Blitzy as a Senior DevOps Engineer to architect and maintain scalable systems for an AI-driven software development platform.
Posted by employer 1 day ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
What you'll build
Must have
Role intensity
70% hands-on coding
AI in the day-to-day
Blitzy uses AI agents to autonomously deliver production-ready software.
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In the role of Senior DevOps Engineer at Blitzy, the individual will focus on architecting and maintaining the infrastructure that supports the company's AI-driven software development platform. Key skills include deep expertise in Kubernetes, proficiency in Python for automation, and experience with CI/CD pipelines and cloud platforms like AWS or GCP. This position is ideal for seasoned engineers with over five years of experience who thrive in fast-paced environments and take ownership of their systems. Blitzy's culture emphasizes teamwork and rapid innovation, making it a fitting environment for those who excel under pressure.
Joblaze insights
Quick facts
From the original posting
How we work:
We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
As a DevOps Engineer at Blitzy, you will be a critical force behind the infrastructure powering our cutting-edge AI agents and enterprise software development platform. Based out of our Cambridge, MA headquarters, you'll architect and maintain the scalable, resilient systems that enable Blitzy to autonomously deliver production-ready software at unprecedented speed. This is a high-impact, hands-on role for an engineer who thrives in a fast-moving environment and takes deep ownership of the systems they build.
Build, manage, and scale Kubernetes clusters supporting AI agent workloads and production application deployments.
Design and implement robust CI/CD pipelines for both application services and AI-driven workflows.
Automate infrastructure provisioning, scaling, and operations using Python and Terraform.
Deploy and maintain applications via Helm charts, ensuring consistency across environments.
Own the observability stack: alerting, distributed tracing, and monitoring for all production services and APIs.
Build and maintain infrastructure for AI agent orchestration, enabling reliable and high-throughput agent execution.
Partner closely with engineering teams to improve developer experience, deployment strategies, and operational tooling.
Maintain and continuously improve the security, reliability, and cost-efficiency of our cloud environments.
5+ years of DevOps or infrastructure engineering experience in production environments.
Deep expertise in Kubernetes including deployment, scaling, networking, and troubleshooting.
Strong Python proficiency for automation, scripting, and tooling.
Hands-on experience with Helm for application package management.
Proven track record designing and maintaining CI/CD pipelines.
Experience with major cloud platforms (GCP, AWS, or, Azure).
Proficiency with Terraform for Infrastructure as Code.
Strong Linux administration skills and containerization expertise (Docker).
Compensation: $160,000-$230,000 + Bonus +Equity
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