Software Engineer (DevOps)

Posted 16 Days Ago
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San Francisco, CA
In-Office
Senior level
Artificial Intelligence • Enterprise Web • Software • Business Intelligence • Generative AI • Big Data Analytics
You need a plan for Generative AI. We’ve got it.
The Role
The Software Engineer (DevOps) will design, build, and maintain systems ensuring reliability and security, manage AWS environments, and enhance deployment pipelines while collaborating with engineering teams.
Summary Generated by Built In

Who We Are

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.

About the Role

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.

Key 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.

Qualifications

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).

Why Join

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.

What You’ll Get

  • Competitive compensation package and benefits.
  • Chance to learn and collaborate with some of the most famous researchers in the AI and digital economy space: Andrew Ng, Erik Brynjolfsson, Andy McAfee, and Daniel Rock.
  • The unique opportunity to help build a company, culture, and products from the ground up with a team that values healthy working practices.
  • A high-trust, high-autonomy work environment.

At Workhelix, we stand committed to ensuring an environment of mutual respect where equal employment opportunities are available without any discrimination. We believe diversity is critical to our success. Selection for employment will solely be based on qualifications, merit, and business needs. We encourage all qualified individuals to apply!

Top Skills

AWS
Azure
CircleCI
CloudFormation
Cloudwatch
Datadog
Docker
Ec2
Ecs
Fastapi
GCP
Github Actions
Grafana
Kubernetes
Lambda
Postgres
Prometheus
Python
S3
Sqlalchemy
Terraform
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The Company
8 Employees
Year Founded: 2021

What We Do

At Workhelix, we unite advanced research and exhaustive data analysis to evaluate the potential of Generative AI within your company. Our software then generates a dynamic and interactive roadmap, tailored to suit your organization's unique needs

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