Trajector

Full-stack Engineer

• Architect & Build: Drive the development of robust, scalable applications using a serverless-first mindset on AWS.
• Pioneer Agentic AI: Design, build, and integrate solutions that utilize agentic AI, applying modern AI design patterns to automate and enhance complex workflows.
• Supercharge Development: Champion modern, AI-assisted software engineering processes. You take development beyond vibe coding and leverage tools like Claude Code to multiply your team’s effectiveness.
• Own the Infrastructure: Define and provision cloud architecture using modern Infrastructure as Code (IaC) tools like AWS CDK, Pulumi, and SST.
• Solve End-to-End Problems: Take ownership of the entire lifecycle, seamlessly transitioning from high-level system design to deep-dive product support and debugging.
• Champion Empathy: Advocate for the client and the end-user in every technical decision, ensuring our products are as user-friendly as they are technically sound.

Senior Software Engineer

Machine Learning Engineer

• Design and implementation of reliable, maintainable, and scalable GenAI systems in production.
• Serve as a subject matter expert for machine learning systems owned by the team.
• Mentor junior and mid level engineers through code reviews, technical guidance, and design collaboration.
• Design, evaluate, and implement GenAI systems and workflows for information extraction and document generation.
• Ability to take a proof of concept and turn it into production capable system.
• Collaborate with product managers, data scientists, and engineers to translate business needs into high quality, production ready ML solutions.
• Present findings, insights, and system results to technical and non technical stakeholders.

Senior Machine Learning Engineer

• Design, build and manage scalable data platform infrastructure on AWS including Snowflake, dbt Core, Airflow, and Atlan for enterprise data governance and self-service analytics
• Implement and maintain comprehensive CI/CD pipelines using GitHub Actions, SonarQube, and Infrastructure-as-Code practices with GitOps workflows for automated data platform deployments
• Establish and enforce data governance frameworks including role-based access control, data quality monitoring, and metadata management using Atlan for data cataloging and lineage tracking
• Build data observability and monitoring solutions using SumoLogic and other observability tools for real-time and batch monitoring of data platform performance and reliability
• Lead architectural decisions for platform engineering initiatives, enabling self-service data capabilities while maintaining cost optimization and resource management at scale
• Mentor mid-level engineers and collaborate with cross-functional teams including Data Scientists, DevOps, and business stakeholders to align platform capabilities with organizational needs

Senior Software Engineer

Senior Machine Learning Engineer

Senior ML Ops Engineer