28 days ago
India (city not specified)Staff+
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 product reliability, performance, and customer value.
- Architect scalable services and cloud infrastructure using Python, gRPC, Kubernetes, and Terraform.
- Identify and resolve complex technical bottlenecks affecting engineering quality, system performance, and organizational velocity.
- Build and operate LLM-powered systems and validation loops that evaluate 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 decision-making.
- Contribute across frontend, backend, infrastructure, and AI systems.
Requirements
- 12+ years of direct experience using Python as a primary programming language, backend frameworks, and microservices architectures.
- Expertise in gRPC and proficiency with Node.js and JavaScript.
- Proficiency with AWS and experience with at least one additional cloud platform such as GCP 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 SQL and NoSQL database knowledge, 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 preferred.
- Ability to 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 with minimal supervision.
Tech Stack
Amazon DynamoDBApache CassandraAWSAzureGoogle Cloud PlatformJavaScriptKubernetesMongoDBMySQLNeo4jNode.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.