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Build and maintain backend-first platform features using Python and FastAPI, including REST APIs, PostgreSQL data models, multi-tenant access patterns, async workers, third-party integrations, and webhooks. Write comprehensive unit, integration, and async tests; participate in code reviews and architecture discussions; support production on-call, incident resolution, runbooks, and post-mortems.

Lead design, build, and operation of cloud infrastructure, CI/CD pipelines, and platform tooling. Implement IaC (Terraform), automate deployments, troubleshoot live systems, maintain monitoring/logging, mentor engineers, set DevOps technical direction, and evaluate new tools.

Work on building production-ready agentic AI applications and the Continuum platform: agent orchestration, model routing, persistent memory, tool integrations, retrieval pipelines, guardrails, evaluation, observability, and backend/APIs. Write well-tested Python code and contribute to open-source examples and documentation.

Seeking a Data Engineer to design and maintain ETL pipelines, data models, and infrastructure for analytics, working with enterprise clients.

Seeking a motivated Software Developer to design and develop software applications, collaborate on architectural standards, and engage in agile practices.

Lead DevOps Engineer will design and maintain scalable AWS infrastructure, own Terraform-based IaC, build CI/CD pipelines (GitHub Actions), automate with Python/Shell, implement GitOps and security practices, manage monitoring and incident response, drive disaster recovery and cost optimization, and lead/mentor a DevOps team.

Own strategy, roadmap, and delivery of analytical data products. Lead client discovery, prioritize backlogs, run Agile ceremonies, and ensure launches. Collaborate with engineering and data teams on data quality, governance, architecture (Snowflake, BigQuery, ClickHouse, Databricks, Redshift), perform SQL validation, and drive product adoption and continuous improvement.

Build, maintain, and troubleshoot data pipelines and workflows using Python, SQL, and Spark. Provide production and client-facing technical support, collaborate with teams to resolve issues, and optimize data engineering solutions.

Design, develop, and optimize big data solutions using Databricks, Apache Spark, and cloud platforms. Collaborate with teams to ensure high-performance data architectures.

The Technical Lead will design and implement backend systems, mentor engineers, optimize performance, and manage cloud architecture while ensuring scalable and reliable data processing.