Operational Applications and Infrastructure Developer

Jobtailor; Boulder (CO); On-site; USD 140,000 - 190,000; Full time

Job summary

Jobtailor in Boulder, CO is seeking an experienced software engineer to design, develop, test, deploy, and sustain operational scientific applications supporting SWPC forecast operations, data integration, product generation, workflow automation, and mission support.

The role emphasizes Python backend services, data processing, API development, and cloud-ready automation across Docker-based containers and AWS.

Qualifications

• Master’s degree in atmospheric science, space physics, geophysics, engineering, computer science, mathematics, information systems, or a related STEM discipline.
• 10+ years of experience in related areas.
• Strong proficiency in Python application development, including backend services, data processing, automation, API development, testing, and maintainable code design.
• Experience developing and supporting containerized applications using Docker or equivalent technologies.
• Experience with AWS cloud services, cloud-native application patterns, infrastructure automation, deployment pipelines, and operational cloud integration.
• Experience designing, querying, maintaining, and troubleshooting relational databases, including SQL and PostgreSQL or equivalent platforms.
• Familiarity with non-relational or document/key-value databases such as DynamoDB, MongoDB, or equivalent systems.
• Experience supporting operational forecasting, scientific computing, environmental prediction, space weather, weather, aviation, emergency management, or other mission-critical operational environments preferred.
• Experience modernizing legacy applications through refactoring, database migration, containerization, API development, or cloud integration preferred.
• Experience with Agile SCRUM, Kanban, GitLab, Jira, or equivalent platforms preferred.
• Experience supporting applications in high-availability or 24/7 operational environments preferred.

Responsibilities

• Design, develop, test, deploy, and sustain operational scientific applications supporting SWPC forecast operations, data integration, product generation, workflow automation, and mission support.
• Develop and maintain Python applications, backend services, APIs, data processing workflows, and automation scripts.
• Develop and support containerized applications and services using Docker or equivalent technologies.
• Develop and support infrastructure-as-code, configuration management, deployment automation, CI/CD workflows, and cloud-ready application patterns.
• Integrate applications with AWS services, cloud-native infrastructure, data storage platforms, monitoring tools, and deployment pipelines.
• Design, develop, maintain, and optimize relational and non-relational database solutions.
• Integrate scientific datasets, model outputs, observational data streams, forecast products, and time-series information.
• Transition applications from development or prototype environments into operational production environments.
• Troubleshoot and resolve application, database, API, container, deployment, performance, and integration issues.
• Provide Tier 3 on-call or escalation support, including technical assessment, root-cause analysis, and coordination to sustain operational continuity.

Skills

Python

Backend Services

Data Processing

API Development

SQL

PostgreSQL

DynamoDB

MongoDB

Infrastructure-as-Code

CI/CD Workflows

Education

Master's degree in STEM field

Tools

Docker

AWS

GitLab

Jira

Job description

• Design, develop, test, deploy, and sustain operational scientific applications supporting SWPC forecast operations, data integration, product generation, workflow automation, and mission support


• Develop and maintain Python applications, backend services, APIs, data processing workflows, and automation scripts


• Develop and support containerized applications and services using Docker or equivalent technologies


• Develop and support infrastructure-as-code, configuration management, deployment automation, CI/CD workflows, and cloud-ready application patterns


• Integrate applications with AWS services, cloud-native infrastructure, data storage platforms, monitoring tools, and deployment pipelines


• Design, develop, maintain, and optimize relational and non-relational database solutions


• Integrate scientific datasets, model outputs, observational data streams, forecast products, and time-series information


• Transition applications from development or prototype environments into operational production environments


• Troubleshoot and resolve application, database, API, container, deployment, performance, and integration issues


• Provide Tier 3 on-call or escalation support, including technical assessment, root-cause analysis, and coordination to sustain operational continuity

Requirements

• At least a Master’s degree in atmospheric science, space physics, geophysics, engineering, computer science, mathematics, information systems, or a related STEM discipline


• At least 10 years of experience in related areas


• Strong proficiency in Python application development, including backend services, data processing, automation, API development, testing, and maintainable code design


• Experience developing and supporting containerized applications using Docker or equivalent technologies


• Experience with AWS cloud services, cloud-native application patterns, infrastructure automation, deployment pipelines, and operational cloud integration


• Experience designing, querying, maintaining, and troubleshooting relational databases, including SQL and PostgreSQL or equivalent platforms


• Familiarity with non-relational or document/key-value databases such as DynamoDB, MongoDB, or equivalent systems


• Experience supporting operational forecasting, scientific computing, environmental prediction, space weather, weather, aviation, emergency management, or other mission‑critical operational environments preferred


• Experience modernizing legacy applications through refactoring, database migration, containerization, API development, or cloud integration preferred


• Experience with Agile SCRUM, Kanban, GitLab, Jira, or equivalent platforms preferred


• Experience supporting applications in high-availability or 24/7 operational environments preferred

Core Competencies

Demonstrates expertise in Python application development, including backend services, data processing, and API development, while integrating cloud‑native solutions and containerized applications. Proficient in relational and non‑relational database management, with a strong focus on operational continuity and troubleshooting in mission‑critical environments.

Highest-signal resume keywords

• Python Application Development


• AWS Cloud Services Integration


• Containerization Using Docker


• Relational Database Management


• Infrastructure Automation

ATS Optimization Keywords

Hard Skills

• Python


• Backend Services


• Data Processing


• API Development


• SQL


• PostgreSQL


• DynamoDB


• MongoDB


• Infrastructure-as-Code


• CI/CD Workflows

Industry Keywords

• Atmospheric Science


• Space Physics


• Geophysics


• Scientific Computing


• Environmental Prediction


• Operational Forecasting


• Mission-Critical Environments

Tools & Technologies

• Docker


• GitLab


• Jira


• Agile SCRUM


• Kanban