Full-Time

DevOps Engineer

Updated on 8/1/2026

Blitzy

Blitzy

51-200 employees

Multi-agent platform automating enterprise software development

Compensation Overview

$85k - $180k/yr

+ Equity

Cambridge, MA, USA

In Person

Category
DevOps & Infrastructure (1)
Required Skills
Service Mesh
Kubernetes
MLOps
Microsoft Azure
Python
MLflow
Infrastructure as Code (IaC)
Docker
Microservices
AWS
Terraform
DevOps
Linux/Unix
Helm
Google Cloud Platform

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Requirements
  • Five to eight 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.
  • A proven track record designing and maintaining CI/CD pipelines.
  • Experience with major cloud platforms such as AWS, Azure, or GCP.
  • Proficiency with Terraform for Infrastructure as Code.
  • Strong Linux administration skills and containerization expertise with Docker.
Responsibilities
  • Build, manage, and scale Kubernetes clusters supporting AI agent workloads and production application deployments.
  • Design and implement robust CI/CD pipelines for 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, including 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 cloud environments.
Desired Qualifications
  • Certified Kubernetes Administrator certification.
  • Experience with MLOps tooling such as MLflow, Kubeflow, or similar platforms.
  • Background in microservices architecture and service mesh technologies.
  • Familiarity with API gateway management and advanced service mesh configurations.

Blitzy provides a software platform that automates enterprise software development using a multi-agent system. It takes client requirements from multiple sources, creates a unified software requirements document, then generates a technical specification. A large set of specialized AI agents—such as Architect, Builder, and Validator—collaborate to plan, build, compile, and test code. The system can autonomously generate up to 80% of an enterprise application, with human engineers completing the final 20%. It can handle very large codebases (over 100 million lines) and generate up to 3 million lines of code in one run, enabling faster modernization and development cycles. Blitzy operates as a SaaS platform with tiered pricing based on lines of code and context window, targeting enterprise clients (insurance, financial services) with seed funding from notable investors to expand teams in Boston and Pune.

Company Size

51-200

Company Stage

Late Stage VC

Total Funding

$204.4M

Headquarters

Boston, Massachusetts

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • The platform fits legacy modernization projects with large, messy codebases.[5][7]
  • Human approval steps ease adoption in regulated enterprise environments.[5]
  • The May 2026 funding round supports hiring and partner expansion.[14]

What critics are saying

  • Microsoft, Cursor, and Amazon Q Developer compress Blitzy's pricing power.[1]
  • Autonomous code failures can damage trust after a single high-profile incident.[5]
  • Enterprise procurement slows sales unless Blitzy proves auditability and liability controls.[5][7]

What makes Blitzy unique

  • Blitzy targets enterprise codebases, not in-editor coding assistance.[1][5]
  • Blitzy OS coordinates thousands of agents across multiple foundation models.[1][5]
  • It reverse-engineers existing systems into a knowledge graph before generating code.[1][5]

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Benefits

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

-8%

1 year growth

-8%

2 year growth

7%
Harvard John A. Paulson School of Engineering and Applied Sciences
Jul 13th, 2026
Harvard MS/MBA alum's AI startup Blitzy hits $1.4B valuation with $200M funding round

Blitzy, an autonomous software development platform founded by Harvard MS/MBA graduate Sid Pardeshi, has reached a $1.4 billion valuation after securing $200 million in funding. The Cambridge-based startup, which currently employs 80 people, automates code writing, testing, security checks and error fixing for enterprise clients. Pardeshi, who previously spent six years at NVIDIA designing AI tools, co-founded Blitzy with Brian Elliott whilst studying at Harvard. The platform can complete approximately 80% of typical software development tasks, allowing human engineers to focus on strategy and conceptualisation. The company plans to expand to over 300 employees and strengthen partnerships with laboratories and cloud service providers. Blitzy is the second unicorn founded by an MS/MBA alumnus, following Nominal's AI-driven aerospace analytics platform.