27 days ago
India (city not specified)Staff+
Responsibilities
- Own the architecture and technical roadmap for one or more core platform areas, balancing speed, quality, security, and scalability.
- Write, review, and ship production code while raising engineering quality standards across the team.
- Use generative AI tools to improve technical and non-technical work and help teammates adopt them effectively.
- Serve as a technical escalation point for complex production issues and drive postmortems and preventive fixes.
- Improve the software development lifecycle, including how software is built, deployed, and operated.
- Build demos, prototypes, examples, and technical content to support adoption of new technologies.
- Collaborate with engineers, designers, sales executives, and other stakeholders in an in-person environment.
- Mentor and unblock engineers while setting technical direction and modeling strong engineering judgment.
- Identify and resolve systemic issues such as technical debt, reliability gaps, and process bottlenecks.
Requirements
- 8+ years of professional software engineering experience, including direct experience with Python, Terraform, and AWS.
- Demonstrated experience leading technical initiatives and making architectural decisions across multiple systems or teams without formal people-management authority.
- Proficiency with backend frameworks and technologies such as Node.js, NuxtJS, Express.js, or Python.
- Experience with cloud platforms including AWS, Google Cloud, Azure, or Vercel.
- Strong knowledge of Python, JavaScript, TypeScript, Java, C++, or Go.
- Hands-on knowledge of RPC technologies and API architectures including REST, gRPC, or GraphQL.
- Experience with relational and NoSQL databases such as SQL, PostgreSQL, MongoDB, or Firebase.
- Familiarity with CI/CD tools including Jenkins, CircleCI, GitLab, or similar platforms.
- Experience with source code versioning tools such as Git or Perforce.
- Deep knowledge of microservices architecture and distributed application design at scale.
- Familiarity with AI platforms including OpenAI, Anthropic, Hugging Face, Vertex AI, Amazon Bedrock, or SageMaker.
- Experience building and scaling enterprise-grade applications with 99%+ service-level availability.
- Advanced proficiency in Python, Kubernetes, Terraform, and GCP.
- Experience building platforms or tools for engineering teams, acting as a de facto technical lead, translating ambiguous problems into technical plans, or mentoring engineers is a plus.
Benefits
- In-person work environment.
- Base salary ranges are determined by country, role, level, experience, and skills, with the specific range shared during the hiring process.
Tech Stack
AWSAzureC++CircleCIExpressFirebaseGitGoGoogle CloudGoogle Cloud PlatformGraphQLgRPCJavaJavaScriptJenkinsKubernetesMongoDBNode.jsPostgreSQLPythonSQLTerraformTypeScriptVercel
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.