Backend Dev Ops Engineer

Our client Different Day is hiring a Backend Dev Ops Engineer.

Different Day is an AI first platform that builds enterprise systems with aggressive delivery targets. The company focuses on helping organizations create cognitive infrastructure. These are intelligent systems that learn, adapt, and scale with the business. Different Day is known for solving complex problems quickly using a combination of existing platforms, strategic integrations, and precise custom development.

We ask hard questions first. We say no when it does not make sense. We deliver clarity instead of hype.

This is a remote, US based role for an engineer who thrives in fast moving production environments and is excited to work at the intersection of infrastructure, backend systems, data pipelines, and AI enhanced development.

About the Role

Different Day is hiring a Backend DevOps Engineer to build and scale cloud infrastructure and backend systems. You will work across AWS and GCP architecture, data engineering pipelines, CI and CD automation, security, and observability. You will use AI tools to accelerate development and operations.

You will design, deploy, and operate the systems that power AI driven enterprise solutions, including production infrastructure, backend services, automation pipelines, and tooling.

What You Will Build

Cloud and DevOps

• Production infrastructure on AWS or GCP with Kubernetes

• CI and CD pipelines for automated deployment

• Cloud cost optimization, performance tuning, and monitoring

Backend and Data

• Python or Node.js APIs and microservices (REST and GraphQL)

• Data pipelines using Airflow or Prefect across SQL, NoSQL, and data lakes

• ML model deployment and inference workflows

Security and AI

• Logging, monitoring, and alerting using Prometheus, Grafana, or CloudWatch

• Security controls, compliance practices, and secrets management

• Integration of AI coding assistants and LLM powered operational tools

What We Are Looking For

Core Technical Skills

• 3 to 5 or more years of backend development and DevOps experience

• Strong proficiency in Python and or Node.js

• Hands on experience with AWS and or GCP

• Production level Kubernetes and container orchestration

• Experience with CI and CD tools

• SQL and NoSQL database experience

DevOps and SRE Skills

• Monitoring and observability experience

• Incident management and post mortem documentation

• Networking fundamentals including DNS, load balancing, and CDNs

Development Practices

• Strong Git workflow

• Automated testing experience

• Knowledge of design patterns and best practices

• API design for REST or GraphQL

• Experience with agile development and rapid iteration

Data and Security

• Building data pipelines and ETL workflows

• Data modeling and schema design

• Understanding of security principles and IAM

• Experience with compliance frameworks such as SOC 2, GDPR, or HIPAA is a plus

AI and Modern Tooling

• Comfortable using AI coding assistants

• Interest in AI and ML deployment

• Experience with LangChain, LangGraph, or similar frameworks is a plus

• Curiosity and willingness to experiment with emerging tools

Our Philosophy

Speed and Pragmatism: Build working prototypes in 24 to 72 hours using the 80, 15, 5 model: 80 percent existing platforms, 15 percent integration, 5 percent custom code.

Technology Flexibility: Choose the best tool for the job. Use low code or no code when appropriate. Build modular, cloud agnostic systems.

Production Excellence: Infrastructure as code. Observability first. Security by default. Automate anything that is done more than twice.

What We Offer

• Remote first environment within the United States

• Competitive compensation including salary and equity

• Access to modern tools, AI coding assistants, and cloud credits

• Learning budget for conferences, courses, certifications, and books

• Rapid iteration cycles without enterprise bureaucracy

• Diverse technical challenges across industries

• A true AI first culture