The Sr SRE/Platform Engineer will manage DevOps engineering for e-commerce applications, ensuring platform resilience, performance optimization, and cost efficiency. Responsibilities include troubleshooting cloud and systems issues, performance engineering, and infrastructure management using IaC. Mentoring developers and promoting observability practices are also key responsibilities.

The Engineering Manager will lead, mentor, and grow an engineering team, provide technical direction, and ensure the delivery of quality software products.

The Senior Data Analyst will analyze user behavior, design A/B tests, improve retention, and provide product insights using advanced SQL and analytics tools.

Enter and verify collectible asset data (titles, serial numbers) into internal systems with 99%+ accuracy, perform quality checks, flag issues, meet daily throughput targets, and submit reports for flagged items.

Design and maintain backend services using Kotlin for financial and crypto products. Collaborate on technical solutions, ensuring security and performance.

Lead analytics for customer journeys and operations: build metrics and dashboards, perform root-cause analyses, partner with stakeholders to deliver actionable insights, and help establish and scale a new data function.

Build and ship full-stack features for a travel platform using AI coding agents. Review and validate AI-generated code, modernize services with cloud-native patterns, ensure security and SLOs, and collaborate across product and engineering teams.

Create memorial slideshow videos and marketing edits using DaVinci Resolve. Collaborate with families and internal teams, manage production timelines, standardize templates, maintain organized project files, and meet tight turnaround schedules for services and marketing needs.

Design, build, and improve full-stack product features across web apps, APIs, data pipelines, and SDKs. Maintain and improve systems, participate in on-call rotation, write documentation and technical specs, and collaborate with engineers, product managers, and designers to deliver observability-driven features.

The IT Support Specialist provides technical assistance and manages systems like MDM and SSO, ensuring compliance and resolving technical issues for users.

The Product Manager will streamline patient journeys by translating clinical needs into technical requirements, managing workflows, and optimizing systems while supporting product and operational initiatives from concept to delivery.

As a QA Automation Engineer, you will automate testing, improve frameworks, write tests, perform troubleshooting, and collaborate with teams on CI/CD setups.

The role involves creating scalable AI solutions for enrollment, communication, and operational efficiencies, focusing on hands-on development and strategic AI implementations.

The AI QA Analyst ensures generative models' accuracy and safety, evaluates model performance, and maintains high-quality datasets through rigorous testing and feedback processes.

Manage technical project development for large-scale software applications, coordinate teams, and ensure high-quality project delivery on time.

Build and deploy AI-driven identity and support automation across frontend, backend, and ML systems: NLP models, copilots, ITSM integrations, self-healing runbooks, monitoring, and security/compliance guardrails.

Build and maintain full-stack identity and access systems, integrate AI/ML for fraud and anomaly detection, lead SSO migrations and domain consolidation, design secure APIs and developer tooling, and ensure privacy, observability, and production readiness for identity services.

As a Senior Backend Engineer, you will develop scalable applications and manage systems, databases, and cloud services, while improving architecture and performance.

Design and deliver end-to-end data platform solutions using BigQuery or Snowflake. Own dbt project structure, write and review advanced Python pipelines, optimize warehouse performance and cost, act as primary technical customer contact, translate ambiguous requirements into technical solutions, and mentor junior engineers while maintaining US timezone overlap.

Build and maintain scalable ELT pipelines and analytics-ready data models using BigQuery or Snowflake, dbt, and Python. Ensure data quality through testing and monitoring, debug issues, participate in code reviews, and work directly with US-based customers with partial overlap.