Preparing for an interview at Planet requires a balanced approach that combines deep technical readiness with strong communication skills. Because the company operates globally, you must be prepared to articulate your thoughts clearly, structure your problem-solving process, and demonstrate collaborative adaptability.

Role-Related Knowledge – You must demonstrate a strong grasp of software engineering fundamentals, including data structures, algorithms, and system design. Depending on the team, having a solid foundation in networking principles, cloud infrastructure, and large-scale data processing is critical to showing you can handle the scale of Planet's operations.

Problem-Solving Ability – Interviewers do not just look for the correct answer; they evaluate how you decompose complex, ambiguous problems. You should practice thinking out loud, state your assumptions clearly, and discuss trade-offs between different technical approaches before writing any code.

Process Improvement Mindset – Planet highly values engineers who actively look for ways to optimize workflows, automate repetitive tasks, and improve overall system reliability. Be prepared to discuss how you have improved development, testing, or deployment processes in your previous roles.

Communication & Collaboration – Working at Planet means collaborating with diverse teams across multiple offices worldwide. You must be able to explain complex technical concepts simply and demonstrate that you are a supportive, open-minded teammate who thrives in multicultural environments.

The interview process at Planet is structured to thoroughly evaluate both your technical capabilities and your cultural alignment with the engineering team. Candidates can expect a transparent, professional, and well-paced process that typically takes between three to four weeks from the initial application to the final decision.

The journey begins with an initial HR phone screening, which focuses on your professional background, career motivations, and alignment with the role. Following a successful screen, you will move into technical evaluations. This stage typically involves a technical and scenario-based video interview with engineering staff, where you will discuss your past experiences, system design principles, and domain-specific topics like networking.

The next phase is a live coding interview, where you will write code in real time with engineers. This stage is designed to assess your hands-on coding proficiency, problem-solving speed, and ability to collaborate under pressure. After the technical rounds, you will meet with the hiring manager to align on team expectations, followed by a final HR round to discuss compensation and logistics.

The visual timeline above outlines the standard progression of the Software Engineer interview process. Candidates should use this roadmap to pace their preparation, ensuring they dedicate sufficient time to practicing live coding before reaching the final technical stages. While the overall structure remains consistent, minor variations in interview languages or team-specific discussions may occur depending on your target office location.

To pass the technical bar at Planet, you must demonstrate deep competence in several core engineering domains. The interviewers will assess your depth of knowledge, practical application, and how you handle real-world constraints.

Live Coding & Algorithmic Proficiency

This area evaluates your hands-on coding skills, code organization, and algorithmic efficiency. You are expected to write clean, maintainable code in real time while explaining your thought process clearly.

Be ready to go over:

• Data structures – Deep understanding of arrays, hash maps, trees, graphs, and queues.
• Time and space complexity – Ability to analyze and optimize the efficiency of your code using Big O notation.
• Edge-case handling – Proactively identifying and writing tests for null inputs, boundary limits, and unexpected data formats.
• Advanced concepts (less common) – Multi-threading, memory management under tight constraints, and stream processing algorithms.

Example scenarios:

• Implementing a custom cache eviction policy (e.g., LRU) and discussing its performance trade-offs.
• Writing an algorithm to parse and filter large geospatial datasets in a memory-efficient manner.

Networking & Distributed Systems

Given the nature of Planet's satellite constellation and global data delivery, a solid understanding of networking and system architecture is highly prioritized.

Be ready to go over:

• Network protocols – In-depth knowledge of TCP/IP, UDP, DNS, and HTTP/HTTPS.
• API design RESTful principles, gRPC, and GraphQL, including versioning and security.
• Data transmission – Handling large-scale media file transfers, streaming protocols, and managing network latency.
• Advanced concepts (less common) – Low-level socket programming, content delivery networks (CDNs), and custom protocol optimization.

Example scenarios:

• Designing an API that allows external clients to query and download high-resolution satellite imagery securely and efficiently.
• Explaining how you would diagnose and resolve a high latency issue occurring between a satellite ground station and a cloud storage bucket.

Scenario-Based Design & Process Optimization

This evaluation area focuses on your ability to design robust software systems and your commitment to improving engineering processes.

Be ready to go over:

• System scalability – Designing systems that scale horizontally, load balancing, and database sharding.
• CI/CD and automation – Building reliable deployment pipelines, automated testing, and rollback mechanisms.
• Observability – Implementing logging, metrics, and alerting systems to ensure high availability.
• Advanced concepts (less common) – Infrastructure as Code (IaC), container orchestration (Kubernetes) at scale, and chaos engineering.

Example scenarios:

• Walk through how you would redesign a legacy deployment process to reduce release failures and improve developer velocity.
• Architecting a fault-tolerant ingestion pipeline that can process sudden spikes of incoming satellite data without dropping payloads.

As a Software Engineer at Planet, your day-to-day work will directly impact the reliability and capability of the entire software platform. You will write, test, and deploy production-grade code that integrates seamlessly with existing cloud systems and hardware infrastructure.

Collaborating closely with product managers, data scientists, and infrastructure teams, you will help define the technical roadmap for new features and data products. You will be responsible for ensuring that the services you build are highly available, secure, and performant under heavy loads.

In addition to building new systems, you will actively participate in code reviews, share technical knowledge with your peers, and contribute to the continuous improvement of development processes. This includes writing automated tests, refining CI/CD pipelines, and participating in on-call rotations to maintain system health and operational excellence.