Software Engineer

NextGenEnergyJobs; Haarlem; Hybrid; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Paid time off

Wellness Program

Home Office Reimbursement

Phone and Internet Reimbursement

Tuition Reimbursement

Equity

Volunteer Time Off

Job summary

Planet designs, builds, and operates the largest constellation of imaging satellites. You will contribute to Platform teams, developing imagery access and analysis capabilities using Go, Python, and Java on cloud platforms like Google Cloud.

The role emphasizes scalable, observable systems with open-source tech, and requires collaboration across multiple time zones, including occasional on-site work in Planet's offices.

Qualifications

• 4+ years of software development experience in a production environment.
• Experience with Python, Java and/or Go.
• Bachelor's degree in CS, Geosciences or related field.
• Familiarity with GCP or AWS.
• Strong collaboration and communication skills.
• Experience with various data storage systems.
• Experience deploying to Kubernetes.
• Familiarity with geospatial concepts and standards (GeoTIFF, GeoJSON, STAC).

Responsibilities

• Developing and deploying imagery access and analysis capabilities.
• Work with a tech stack including Go, Python, Java, Postgres and Kubernetes.
• Collaborate asynchronously across Europe and North America.
• Participate in occasional on-sites at Planet's offices.

Skills

Python

Go

Java

Cloud

CI/CD

Teamwork

Geospatial

Communication

Problem Solving

Learning

Education

Bachelor's degree

Tools

Git

Kubernetes

Docker

Grafana

CI/CD tooling

Job description

Planet designs, builds, and operates the largest constellation of imaging satellites in history.

Responsibilities

• Planet's Platform teams build and operate systems that enable customers to access and analyze Planet's daily and high resolution imagery, as well as derived products like Basemaps. We enable customers to browse data catalogs , stream data via tile services , and orchestrate geospatial analysis .
• This position is to be a contributing member of our Platform teams, developing and deploying imagery access and analysis capabilities for our customers using a tech stack that includes Go, Python, Java, Postgres and Kubernetes on major cloud platforms like Google Cloud. We emphasize scalable, observable systems leveraging open source technologies and standards when applicable.
• The team is distributed throughout Europe and North America and thrives on clear asynchronous communication. Success in this role requires strong collaborative communication skills to build coworker relationships across several time zones as well as the ability to contribute to occasional team on-sites hosted in Planet's global offices.
• This is a full-time, hybrid role which will require you to work from our Haarlem 3 days per week.

Requirements

• 4+ years of experience in software development within a production environment working preferably with Python, Java and/or Go
• Bachelor's degree in a technical field such as Computer Science, Geosciences, or a related discipline, or equivalent practical experience
• Solid understanding of software engineering best practices and development methodologies
• Excellent teamwork and collaboration skills - written and verbal; you are comfortable writing an engineering design proposal and soliciting feedback to drive collaborative decisions
• Familiarity with GCP or AWS
• Ability to learn new technologies quickly and independently, navigate uncertain and sometimes ambiguous problem spaces, and take calculated risks
• Experience working with diverse data storage systems such as relational databases, document stores, and key-value stores
• Excellent problem-solving, analytical, and communication skills
• Experience with Git, large codebases, reviewing merge requests, and running complex CI/CD pipelines
• Comfortable working with Docker containers
• Solid intuition of when AI is useful in software development and when it is not
• Experience deploying to Kubernetes
• Familiarity with geospatial concepts and standards; you've worked with GeoTIFFs, GeoJSON, and STAC
• Familiarity with remotely sensed products and associated metadata; you know why someone wants an ortho-rectified product
• Worked with observability platforms such as Grafana

Benefits

• These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
• Paid time off including vacation, holidays and company-wide days off
• Employee Wellness Program
• Home Office Reimbursement
• Monthly Phone and Internet Reimbursement
• Tuition Reimbursement and access to LinkedIn Learning
• Equity
• Volunteering Paid Time Off