Senior Data Platform Engineer, Phaidra

• 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

Desirable

• We're looking for an experienced Software Engineer to anchor the technical direction of our growing Data Platform team.
• You'll drive architecture decisions for distributed, multi-tenant systems and raise the bar for the engineers around you.
• You are bold, creative, and have deep empathy for customers.
• You will design and implement significant parts of the codebase, make an immediate impact with your work, and help guide the product and team as we grow
• Building streaming and batch components for real-time and historical data ingestion and processing
• Building and optimizing the data and feature stores
• Building high-throughput and highly available APIs used throughout the organization
• Building the central orchestration and metadata layer, along with the APIs of the core Platform
• You'll own the systems every other team at Phaidra depends on for ingestion, storage, serving, and orchestration.
• As our customer base grows rapidly, this role is about scaling those systems and the processes around them to meet that growth, with multi-tenancy and self-serve tooling as core priorities.
• 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
• In your first 30 days..
• You will be immersed in an onboarding program that introduces you to Phaidra and our product
• You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems
• You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra
• You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base
• You will learn about how we use agile and be able to navigate our sprint boards and backlogs
• You will learn about various team standards and development & release processes
• You will start to learn about our system architecture and infrastructure
• You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow
• By your first 60 days..
• You will have a solid understanding of what Phaidra does and how we do it
• You will have met with team members across Phaidra and started building relationships that will help you be successful at your job
• You will have completed the onboarding exercise and will be on your way to completing your first production task
• You will have identified areas of improvement in the data platform and started thinking towards them while working with the team
• By your first 90 days..
• You will have been fully integrated in the team and with team members across the company
• You will get a more in-depth understanding of our system architecture and infrastructure
• You will have completed your first on-call experience helping monitor and improve our production environments
• You will have become an expert with our tooling
• Be a distributed systems expert in the company, drive discussions on important topics and present them in the learning sessions

• All of our interviews are held via Google Meet, and an active camera connection is required
• Meeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application
• Hiring Manager interview (30 minutes): This is an introduction call with the hiring manager so that the candidate and the hiring manager can get to know each other better. It will mainly focus on your previous experience and technical background. This meeting is also meant to enable you to ask any questions about the team & role
• Data Structures & Algorithms Technical Interview (45 minutes): The purpose of this interview is to assess your skills in data structures, algorithms and problem solving. This interview will involve live coding exercises
• System Design Technical Interview (90 minutes): In this interview, we will go over a system design problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring
• Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit