Top Engineering Jobs

Build and ship high-impact full-stack features using React, NodeJS, MongoDB, AWS, and Snowflake. Own vertically sliced functionality across the full software development lifecycle, including design, coding, testing, code review, deployment, API development, and production support. Collaborate with engineering, sales, stakeholders, and customers to prioritize product opportunities, incorporate feedback, and improve engineering processes and systems.

Leads multiple software engineering teams and managers responsible for scaling B2B SaaS products. The role combines people management, technical leadership, recruiting, mentoring, performance development, and engineering culture improvement. Responsibilities include promoting software quality, automated testing, CI/CD, DevOps, Agile practices, and cross-functional collaboration with product, QA, security, sales, marketing, HR, and customer success teams.

Design and maintain automated testing across data pipelines, ETL/ELT workflows, REST APIs, backend services, and cloud data warehouses. Validate data integrity, schemas, transformations, reconciliations, performance, and reliability for ERP data flows. Integrate tests into CI/CD, manage synthetic test data, investigate discrepancies, support releases, and mentor junior quality engineers while promoting data-quality-focused testing practices.

Own the architecture, scalability, reliability, and delivery of complex software systems. Lead cross-functional technical initiatives, design AI-friendly APIs and agentic workflows, improve performance and cost efficiency, partner with product managers, mentor engineers, influence hiring, and drive engineering quality and technical direction with substantial autonomy.

Own FloQast’s multi-region AI platform infrastructure across AWS, including Bedrock model runtimes, sandboxed code execution, Terraform, observability, cost controls, CI/CD, security, and reliability. Support Transform, AI Matching, and AutoBuilder by managing scaling, throttling, tenant isolation, journey-based SLOs, model and prompt delivery gates, and AI-specific on-call processes across US, EU, and AU regions.

Lead design and execution of performance, load, stress, endurance, and scalability testing for cloud-based SaaS. Build automated testing frameworks integrated with CI/CD, analyze metrics across application, database, API, and infrastructure, guide capacity planning, create monitoring dashboards, validate releases, lead root-cause analysis, and mentor engineers on performance best practices.

Leads a data platform engineering team while contributing approximately 50% hands-on technical work. Responsibilities include designing and coding data infrastructure, managing Spark and Iceberg systems, operating Kafka streaming architecture, driving lakehouse tooling decisions, improving governance and observability, setting technical roadmaps, hiring and developing engineers, and coordinating with stakeholders. The role requires deep distributed-systems expertise alongside formal engineering management or technical leadership experience.

Design and deliver core platform capabilities for FloQast Transform, building scalable, resilient distributed systems, AI agent infrastructure, and a visual workflow builder. Lead high-level architecture and engineering best practices, translate product needs into technical roadmaps with Product and Design, and mentor senior engineers to raise team performance and delivery.

Lead quality strategy and tooling across engineering: design and implement automation for UI/API/backend, own performance/load/stress testing for Node.js/MongoDB services, integrate NFR validation into CI/CD, build performance frameworks (k6/Artillery/Gatling/JMeter), analyze production issues, improve observability, and drive cross-functional quality initiatives.

As a Staff Engineer, you will provide technical leadership, design scalable systems, mentor engineers, and influence architecture across teams.