À propos
Where are our top opportunities to create value with AI? How can we accelerate and increase the benefits of our AI? To find answers for each customer, Workhelix applies our unmatched expertise in economics, AI, and data science. We have pioneered a task-scoring method to identify top GenAI opportunities, ensuring clear, data-driven deployment strategies. Our ROI monitoring suite applies Nobel Prize-winning economics to provide accurate, ongoing insights into the impact of GenAI implementations. Renowned AI and Economics thinkers including Andrew Ng, and cofounders Andy McAfee and Erik Brynjolfsson stand proudly behind our mission. For more information on our leadership principles, please visit the careers page of our website. We’re looking for a Software Engineer (DevOps) to help design, build, and maintain the systems that keep our platform fast, reliable, and secure. This is a hands-on engineering role for someone who loves infrastructure, automation, and high-leverage backend work. You’ll work across backend services, CI/CD, and cloud architecture — enabling the entire engineering team to ship confidently and often. You’ll collaborate closely with backend and frontend engineers, owning our deployment pipelines, AWS environments, and infrastructure-as-code. Infrastructure & DevOps
Own and evolve our CI/CD pipelines to ensure smooth, fast, and reliable deployments. Manage and optimize our AWS environment (ECS, EC2, Lambda, S3, CloudFormation, CloudWatch, etc.), and abstract to multi-cloud environments such as GCP and Azure. Containerize and orchestrate applications using Docker and Kubernetes. Improve monitoring, logging, and observability for all production systems. Partner with backend engineers to automate testing, staging, and release workflows. Backend & Service Development
Contribute to backend services written in Python (FastAPI) with SQLAlchemy and PostgreSQL. Write and maintain test suites and deployment scripts that keep systems stable and predictable. Help design and build APIs and integrations that connect infrastructure to product functionality. Support the team in diagnosing and resolving performance or reliability issues across environments. Work cross-functionally with product, backend, and frontend teams to deliver secure, reliable releases. Contribute to technical documentation and help define standards for DevOps and deployment practices.
5+ years of professional software engineering experience, with significant DevOps ownership. ~ Deep experience with AWS primitives and cloud architecture. ~ Skilled with Docker, Kubernetes, and containerized application deployment. ~ Strong background in Python, FastAPI, and SQL-based data layers. ~ Familiarity with monitoring tools (Grafana, Prometheus, Datadog, or similar).
You’ll own high-leverage infrastructure and have direct impact on how quickly and confidently the entire team ships. If you enjoy working in a collaborative, high-velocity environment and want to shape the backbone of a fast-growing AI startup — this is the place. Chance to learn and collaborate with some of the most famous researchers in the AI and digital economy space: The unique opportunity to help build a company, culture, and products from the ground up with a team that values healthy working practices. We believe diversity is critical to our success.
Compétences linguistiques
- English
Avis aux utilisateurs
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