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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer (Data Platform) - **Company:** Machinify, Inc. - **Location:** Palo Alto, United States (Remote available) - **Experience:** Expert - **Salary:** $230,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Automation of Tests, Microsoft Azure, Big Data, Cloud Computing, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Distributed Systems, Monitoring of Systems, Python (Programming Language), Prometheus, Workflow Management Systems, Data Logging, Data Processing, Grafana, Backend, Build Management, Containerization, Kubernetes, Data Management, Virtual Agents, Data Pipelines, Elk Stack, Golang - **Published:** August 9, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/paeomuu99g ## About the Role * 8+ years of hands-on experience in backend software development, with expertise in Golang and/or Python. * Strong communication and technical leadership skills. * Professional experience with agentic AI. * Proficient understanding of ETL processes, data pipelines, and working with large datasets. * Experience with Kubernetes orchestration, containerization, and cloud-native development. * Proficiency in building scalable systems that handle high volumes of data and transactions. * Knowledge of cloud platforms (AWS, Azure, or GCP) and their ecosystem tools. * Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana). * Strong problem-solving skills and a passion for writing clean, maintainable code. * Experience with data modeling, transformation, and integration. * Experience with orchestration tools (e.g., Apache Airflow, Prefect). * Knowledge of monitoring and logging tools for distributed systems (Prometheus, Grafana, ELK stack). * Experience with CI/CD pipelines and automated testing. * Strong understanding of data modeling, ETL workflows, and data transformation techniques. ## Description The Data Platform Development Team builds the internal systems that power and extends the Machinify platform. We focus on creating scalable, reliable infrastructure that enables seamless communication, data processing, and analytics across our products and customer-facing systems. Working closely with the core Machinify platform-written in Scala-we act as internal platform customers, designing and building orchestration and supporting services in Golang that sit on top of the core engine. Our team develops internal products and analytics capabilities that enhance performance, reliability, and extensibility across the organization, ensuring our platform can scale alongside our customers and AI-driven use cases. The ideal candidate will have expertise in data platforms. In this role, you will design and build high-performance backend systems that power our AI-driven solutions. You'll work alongside a collaborative team of passionate engineers, data experts, and innovators to deliver impactful software that drives business success. Does this sound like the right opportunity to explore?... Lets connect! What You'll Do * Architect, design, and build scalable and high-performance data software solutions using Golang and Python. * Analyze and implement agentic automation to increase team velocity and quality. * Design and build scalable and high-performance data software solutions using Golang and Python. * Build and deploy Kubernetes-based systems to manage containerized applications in cloud-native environments. * Collaborate with cross-functional teams to understand and address customer needs, ensuring our systems evolve to meet future requirements. * Optimize performance, reliability, and security of our backend infrastructure. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes](https://www.wearedevelopers.com/videos/100356-super-scaling-for-the-super-bowl-how-to-survive-30-million-users-hitting-your-backend-in-30-minutes) - [Empowering Thousands of Developers: Our Journey to an Internal Developer Platform](https://www.wearedevelopers.com/videos/1519-empowering-thousands-of-developers-our-journey-to-an-internal-developer-platform) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)