Senior Software Engineer, Platform Analytics

As a Senior Software Engineer, Platform Analytics at BlackSky, your daily responsibilities will include designing, developing, and documenting data services that prioritize usability, consistency, and low-latency performance. You will collaborate with various teams to develop analytics-related services, maintain production services, and contribute valuable insights during design sessions and code reviews.

To apply for the Senior Software Engineer, Platform Analytics position at BlackSky, you should have a minimum of five years of production software development experience. Proficiency in Python, experience with REST APIs, and familiarity with cloud environments like AWS are critical. Knowledge of databases and machine learning concepts will enhance your application.

For the Senior Software Engineer, Platform Analytics position at BlackSky, proficiency in Python is essential, and knowledge of languages such as Java and Go will be beneficial. Experience with databases like SQL and NoSQL, along with cloud technologies such as AWS or Azure, will make you a strong candidate.

BlackSky values the growth of its employees, offering various professional development opportunities for Senior Software Engineers, including access to learning resources, workshops, reimbursement for certifications, and supportive mentorship from industry veterans. Your growth is our priority!

At BlackSky, the work environment is dynamic, collaborative, and inclusive. You’ll be part of a diverse team that appreciates innovation, embraces new ideas, and values a healthy work-life balance. Employees enjoy flexible hours and a strong culture of teamwork.

When answering this question, focus on specific projects where you designed REST APIs, discussing the challenges faced, how you overcame them, and the impact of your work. Highlight the importance of documentation and user interaction in your design process.

Discuss your coding practices, such as adhering to design patterns, writing unit tests, and performing code reviews. Mention the importance of documentation and knowledge sharing to ensure long-term maintainability across the team.

Share your specific experiences working in cloud environments, detailing any projects where you deployed software or managed services. Explain how you utilized cloud features to enhance performance, scalability, and reliability.

Talk about the resources, blogs, podcasts, and communities you engage with to keep your skills fresh. Mention any hands-on experience with new technologies you’ve tested and how you evaluated their potential for future projects.

Choose a specific problem that showcases your skills. Explain the context, your analysis, the solution you implemented, and the results it achieved. Highlight your thought process and collaboration with team members.

Interviewers look for structured answers that include techniques like code reviews, automated testing, continuous integration, and following coding standards. Emphasize your commitment to high-quality standards and how you encourage these practices in your team.

Discuss any hands-on experience with machine learning models or data analytics tools you have used. Explain how you implemented these technologies in practical applications and your understanding of machine learning principles.

Highlight your openness to constructive criticism and how you utilize feedback to enhance your coding skills. Provide examples of how feedback led to significant improvements in your code or processes.

Emphasize the necessity of collaboration in software development. Share examples of successful teamwork, how you communicate with different departments, and your contributions to a cohesive company culture.

Articulate your interest in BlackSky’s mission and how your personal values align with the company culture. Discuss your passion for technology and how you see yourself contributing to the advancements in space-based intelligence.