Senior Python Engineer – Supporting ML Operations

Remote (Anywhere) Full-Time, Minimal Travel

About:

Our Client is a small, focused signal processing team that moves fast and holds a high bar. If you want ownership from day one and care about the craft, this is the role for you. You’ll own meaningful pieces of our stack: ETL pipelines, ML-powered features, containerized services, and cloud infrastructure on AWS. You won’t be handed a ticket queue — you’ll shape what we build and how they build it.

More Specifically you will:

• Design, build, and maintain robust ETL pipelines

• Develop and integrate ML-powered features into production applications

• Build and work within containerized environments using Docker

• Deploy and manage services on Kubernetes

• Architect and manage cloud infrastructure on AWS

• Contribute across the full stack — from backend services and APIs to frontend dashboards and UIs

• Participate in architecture discussions and technical decisions

Required Skill and Experience:

• 5–7 years of professional Python experience

• Startup background — you’ve thrived in a fast-moving environment and know how to get things done

• Production ETL pipeline experience

• Hands-on AWS (IAM, EC2, S3, RDS, Lambda, etc.)

• Docker proficiency: writing Dockerfiles, building images, developing in containerized environments

• Kubernetes experience: deploying and managing workloads in a cluster

• Exposure to ML application development — research background not required

• Self-starter who finds what needs doing and does it

• High comfort with ambiguity and genuine enthusiasm for startup culture

Nice to have:

• Experience with Plotly/Dash or other Python web frameworks (Flask, FastAPI, Django, etc.)

• Professional experience in at least one other language (Go, TypeScript, Rust, Java, Scala)

• Signal processing experience — working with time-series, sensor, or frequency-domain data

• Some exposure to gRPC and Protocol Buffers

Their Tech Stack:

Python, AWS, PostgreSQL, ETL Pipelines, ML/AI Apps, Docker/K8s, CI/CD, REST APIs, Git

How They Work:

• Fully remote. They keep core hours aligned with standard business times and are flexible beyond that.

• Schedule flexibility within reason — they trust you to manage your time

• Minimal travel: the occasional off-site or conference

• Async-friendly with clear communication norms

Why Join Them

• Your work ships – no 18-month roadmap before you see impact

• Small team, big ownership – you’ll influence the product, architecture, and culture

• Real growth, not just a line in an offer letter

• Competitive salary, equity, and benefits