Software Engineer (DevOps)
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About the role
Workhelix is a tech-enabled services company with a single goal: helping organizations get the most out of their AI investments. Our people and software combine to give leaders answers to the three critical questions about the business value of AI: Where are our top opportunities to create value with AI? Are our current efforts actually delivering? What's their ROI? 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. We maintain a culture established on five key principles. 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. The ideal candidate thrives in startup environments - solving problems pragmatically, balancing speed and reliability, and continuously improving tooling and processes.
Responsibilities
- 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.
- Build reproducible, scalable infrastructure using Terraform and other IaC tools.
- 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.
- Collaboration & Process
- Work cross-functionally with product, backend, and frontend teams to deliver secure, reliable releases.
- Operate effectively in a fast-paced, async environment - communicate clearly and prioritize well.
- Contribute to technical documentation and help define standards for DevOps and deployment practices.
Requirements
- Required
- 5+ years of professional software engineering experience, with significant DevOps ownership.
- Deep experience with AWS primitives and cloud architecture.
- Strong expertise with CI/CD systems (GitHub Actions, CircleCI, or similar).
- Skilled with Docker, Kubernetes, and containerized application deployment.
- Experience with Terraform or other infrastructure-as-code frameworks.
- Strong background in Python, FastAPI, and SQL-based data layers.
- Proven ability to automate and streamline development and release workflows.
- Experience with VPNs (Tailscale, or similar).
- Preferred
- Experience with Kubernetes, GCP, or Azure.
- Familiarity with monitoring tools (Grafana, Prometheus, Datadog, or similar).
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