Space Weather Ops Apps & Cloud Infra Engineer

Lynker Corporation

Boulder (CO)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Healthcare benefits
Paid time off
401(k) plan
Employee stock ownership plan (ESOP)
Tuition assistance
On-call support

Job summary

Lynker is seeking an Operational Applications and Infrastructure Developer to support SWPC with full lifecycle software development, AWS integration, and containerized infrastructure. This role emphasizes reliability, security, and operational readiness for space weather forecasting tools.

The ideal candidate will design Python-based solutions, manage databases like PostgreSQL and DynamoDB, and implement CI/CD pipelines to ensure smooth transitions from development to production across 24/7

Qualifications

  • 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.

Responsibilities

  • Design, develop, test, deploy, and sustain operational scientific applications supporting SWPC forecast operations, data integration, product generation, workflow automation, and mission support functions.
  • Develop and maintain Python-based applications, backend services, APIs, data processing workflows, and automation scripts supporting operational space weather applications and infrastructure.
  • Develop, maintain, and support containerized applications and services using Docker or equivalent technologies to improve reproducibility, portability, scalability, cloud readiness, and operational maintainability.
  • Develop and support infrastructure-as-code, configuration management, deployment automation, CI/CD workflows, and cloud-ready application patterns that align with SWPC modernization and agency cloud strategy objectives.
  • Integrate operational 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, including SQL-based databases and platforms such as PostgreSQL, DynamoDB, MongoDB, or equivalent systems.
  • Integrate scientific datasets, model outputs, observational data streams, forecast products, and time-series information into operational applications using scalable and maintainable delivery methods.
  • Support transition of applications from development or prototype environments into operational production environments, ensuring traceability, version control, configuration management, testing, documentation, and stakeholder acceptance.
  • Troubleshoot and resolve complex operational application issues, including data flow interruptions, database problems, API failures, container issues, deployment defects, performance degradation, and integration failures.
  • Provide Tier 3 on-call or escalation support, as required, for database and operational scientific applications, including technical assessment, root-cause analysis, and coordination needed to sustain operational continuity.

Skills

Python
Docker
AWS
SQL
PostgreSQL
MongoDB
DynamoDB
APIs

Education

Master’s degree in a related STEM field

Tools

Docker/Equivalent technologies
GitLab
Jira

Job description

Lynker is seeking an Operational Applications and Infrastructure Developer to support SWPC with full lifecycle software development, AWS integration, and containerized infrastructure. This role emphasizes reliability, security, and operational readiness for space weather forecasting tools.

The ideal candidate will design Python-based solutions, manage databases like PostgreSQL and DynamoDB, and implement CI/CD pipelines to ensure smooth transitions from development to production across 24/7

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