5 months ago
Cambridge, MA, USAStaff+
Base Salary
$300k - $500k/yr
Responsibilities
- Own mission-critical production systems end to end, including correctness, scalability, performance, reliability, and operational excellence.
- Design, build, and ship high-impact backend systems and features that improve reliability, performance, and customer value.
- Architect scalable services and cloud infrastructure using Python, REST, gRPC, Kubernetes, and Terraform.
- Identify and resolve technical bottlenecks affecting engineering quality, system performance, and organizational velocity.
- Build and operate LLM-powered systems and validation loops for correctness, consistency, durability, and production performance.
- Design and evolve relational, NoSQL, graph, and vector data architectures for enterprise applications and semantic retrieval.
- Modernize complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
- Set engineering quality standards through hands-on technical leadership and long-term technical ownership.
Requirements
- Direct experience using Python as a primary programming language, backend frameworks, and microservices architectures.
- Expertise in REST and gRPC, with proficiency in Node.js and JavaScript.
- Proficiency in GCP and experience with at least one additional cloud platform such as AWS or Azure.
- Advanced production experience with Kubernetes and Terraform.
- Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling.
- Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB.
- Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval.
- Hands-on experience building and operating production LLM-powered systems, including evaluation, validation, regression testing, tracing, and failure analysis.
- Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus.
- Ability to contribute across the full stack and debug, design, and ship across frontend, backend, infrastructure, and AI systems.
- Understanding of large-scale enterprise software architecture, integration, deployment, modernization, and long-term maintainability.
- Proven Staff+, Principal Engineer, or comparable experience independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision.
Benefits
- Base salary range of $300,000-$500,000 plus bonus and equity.
- The role is a fully hands-on individual contributor position without people-management responsibilities.
- The company emphasizes in-person collaboration and a fast-paced working environment.
Tech Stack
Amazon DynamoDBApache CassandraAWSAzureGoogle Cloud PlatformgRPCJavaScriptKubernetesMongoDBMySQLNeo4jNode.jsPostgreSQLPythonSQLTerraform
Categories
About Blitzy
Blitzy builds an agentic AI software development platform that ingests millions of lines across complex enterprise codebases to plan, generate, and validate production code. The privately held company, founded in 2023 and headquartered in Boston, sells to large engineering organizations modernizing or extending systems, offering an enterprise platform used to accelerate sprints and reduce manual effort; co-founders include Brian Elliott and former NVIDIA architect Sid Pardeshi.