Operational Applications and Infrastructure Developer

Lynker

Operational Applications and Infrastructure Developer building Python, AWS, containerized, and database systems for Lynker’s space-weather forecasting services. Supporting reliable 24/7 scientific operations and production deployments.

Posted 8/13/2026full-timeBoulder • Colorado • 🇺🇸 United StatesSeniorLead💰 $80,000 - $128,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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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 DevelopmentAWS Cloud Services IntegrationContainerization Using DockerRelational Database ManagementInfrastructure Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonBackend ServicesData ProcessingAPI DevelopmentSQLPostgreSQLDynamoDBMongoDBInfrastructure-as-CodeCI/CD Workflows

Tools & Technologies

DockerGitLabJiraAgile SCRUMKanban

Industry Keywords

Atmospheric ScienceSpace PhysicsGeophysicsScientific ComputingEnvironmental PredictionOperational ForecastingMission-Critical Environments

Tech Stack

Tools & technologies

AWSCloudDockerDynamoDBMongoDBPostgresPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Comprehensive healthcare for the employee at no monthly cost
Medical, prescription drug, dental, and vision coverage
Personal Time Off (PTO) plus paid holidays
Highly competitive compensation plan
401(k) retirement plan with company matching
Employee Stock Ownership Plan (ESOP)
Flexible spending accounts
Employee assistance program (EAP)
Short- and long-term disability insurance
Life and accident insurance
Tuition assistance/Training/Workforce improvement reimbursement
Spot bonuses for exceptional performance
Annual Employee Recognition Awards with bonuses
Employee Referral Program
Free centralized, self-directed Learning Management System
Personalized career growth plans
Team-oriented work environment
Opportunity to work with exceptionally skilled professionals