Key skills
AWSAzureCloudDockerETLJMeterKubernetesPandasPostgresPySparkPythonSplunkSQLTerraformMLLarge Language ModelsOpenAIAnthropicRAGLangChainLangGraphFastAPIPytestUnit TestingS3IAMAthenaSageMakerPostgreSQLGitLeadership
About this role
Role Overview
- Drive technical initiatives end-to-end — from requirements and design through delivery and post-launch iteration — with minimal guidance.
- Own architecture and design decisions for complex systems, demonstrating strong judgment on scalability, reliability, and maintainability.
- Communicate and collaborate effectively across engineering teams, product managers, and stakeholders to align on technical direction.
- Mentor and elevate fellow engineers through thoughtful code reviews, design discussions, and knowledge sharing.
- Lead solutioning sessions and proactively surface technical risks, trade-offs, and recommendations.
- Serve as a technical point of contact for cross-functional teams, articulating complex engineering decisions clearly to both technical and non-technical audiences.
- Self-motivated and hands on professional — operates independently, completes work without follow-ups, and navigates ambiguity and challenges with minimal assistance.
- Proactively picks up design, development tasks, drives them to completion, and communicates progress and blockers without prompting.
- Participates actively in solutioning, contributes ideas, and raises issues early.
- Adaptable and eager to learn — our team uses a wide array of technologies and the right candidate embraces new tools with confidence.
- Thrives in a fast-paced environment and is comfortable supporting production releases.
Requirements
- Python — expert-level proficiency.
- Python backend services: development, APIs, deployment, and scaling.
- Python FastAPI and asynchronous programming.
- Cloud technologies: AWS (primary), Azure.
- AWS SageMaker Pipelines (end-to-end ML workflows).
- Python unit testing (pytest).
- Git.
- AWS S3 and data formats (Parquet, JSON, CSV).
- PostgreSQL / SQL.
- Pandas.
- LangGraph / LangChain (preferred).
- Large language models (e.g., OpenAI, Anthropic, Google) (preferred).
- Load testing frameworks (e.g., Locust, JMeter) (preferred).
- AWS Athena (preferred).
- AWS S3 (bucket policies), IAM roles and policies (preferred).
- Splunk (preferred).
- AWS Secrets Manager and Parameter Store (preferred).
- AWS EMR (PySpark-based ETL) (preferred).
- Docker (preferred).
- Kubernetes (preferred).
- Terraform (preferred).
- OpenSearch / Search Engine indexing, retrieval (RAG systems) (preferred).
- Cache technologies (preferred).
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- ETL
- JMeter
- Kubernetes
- Pandas
- Postgres
- PySpark
- Python
- Splunk
- SQL
- Terraform
Benefits
- Competitive compensation.
- Limitless growth and learning opportunities.
- Ongoing mentorship and apprenticeship; Leadership courses, development programs, technical courses, certification opportunities and more!
- A collaborative and positive culture
- join a diverse team of professionals that are as smart and driven as you.
- A chance to make an impact – your work will contribute directly to our strategy.
- Hybrid Work Environment
- enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices.
- 20+ PTO days plus holidays and floating holidays in your first year.
- Extensive medical, dental insurance and vision plan.
- 401K with corporate match, immediate vesting.
- Health-and-wellness-related allowance programs.
- Parental leave.
- Tuition reimbursement.
- Employee Stock Purchase Plan.
- Employee Assistance Program.
- Gartner Gives Charity Match.
- And much more!