Senior Data Platform Engineer

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Phaidra

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

⚡ Energy

☁️ SaaS

Artificial Intelligence • Energy • SaaS

Phaidra is a company providing artificial intelligence controls to optimize mission-critical facilities such as data centers and industrial plants. Their closed-loop AI control service enhances plant stability, energy efficiency, and sustainability by reducing downtime, increasing productivity, and lowering CO2 emissions. Unlike traditional control systems, Phaidra's AI-driven controls continuously learn and improve over time without the need for new hardware. The system provides real-time optimization and integrates with existing control systems, enhancing safety and operational stability while providing full transparency of performance data. Phaidra uses cutting-edge deep reinforcement learning techniques to deliver exceptional results in some of the world's toughest challenges, including significant energy savings in Google's data centers.

📋 Description

• You'll own the systems every other team at Phaidra depends on for ingestion, storage, serving, and orchestration. • Design and build scalable components for the data platform that enable high-throughput data ingestion and processing. • Design and develop systems to store and serve batch data for analytics. • Contribute to the design and implementation of API services and scalable event-driven applications that power the product backend. • Design clear, extensible software interfaces for internal consumers and maintain a high release-quality bar. • Design and optimize data storage and retrieval mechanisms for high throughput, security, and ease of access. • Own and operate your services in production, including releases, deployments, and on-call rotations, meeting Phaidra's high bar for operational excellence. • Lead cross-functional initiatives collaborating with engineers, product managers, and TPMs across teams. • Mentor your peers and be a technical role model on the team.

🎯 Requirements

• 7+ years of software engineering experience, with significant time spent on distributed or data-intensive systems. • Strong experience designing and implementing distributed systems for data ingestion, storage, and processing. • Proven expertise building, operating, and monitoring large-scale multi-tenant systems while accounting for high availability, fault tolerance, and performance. • Ability to take ownership of realtime production systems - aligning technical with business requirements, raising the bar for operational excellence and on-call incident handling. • Ability to collaborate and communicate effectively in an all-remote setting. • Approach your work with curiosity, ownership, transparency, directness, outcome orientation, and customer empathy. • Experience with latest batch & realtime data processing, storage & service technologies such as Apache Flink.

🏖️ Benefits

• Fast-paced, team-oriented environment where your work directly shapes the company’s direction. • We are a 100% remote company. • Competitive compensation & meaningful equity. • Outsized responsibilities & professional development. • Training is foundational; functional, customer immersion, and development training. • Medical, dental, and vision insurance (exact benefits vary by region). • Unlimited paid time off, with a required minimum of 20 days per year. • Paid parental leave (exact benefits vary by region). • Flexible stipends to support your workspace, well-being, and continued professional development. • Company MacBook.