Senior Full Stack Software Engineer

EarthOptics

. Own the end-to-end design, development, deployment, and maintenance of full-stack applications spanning user interfaces, backend services, APIs, and data integrations .

Posted 10/22/2026full-timeRemote • United StatesSenior💰 $125,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack application development, cloud infrastructure management, and AI integration, with a strong focus on maintainability, security, and performance. Proven ability to lead technical initiatives, mentor engineers, and collaborate effectively across teams to deliver high-quality software solutions.

Highest-signal resume keywords

Full-Stack Engineering ExperienceCloud Infrastructure ManagementAI Integration and DevelopmentTechnical Leadership and MentorshipProduction Experience with Python and TypeScript

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Full-Stack DevelopmentAPI DevelopmentRelational DatabasesSQLInfrastructure-as-CodeContainerizationAutomated TestingDebuggingObservabilityGeospatial Application Development

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

TerraformDockerKubernetesFastAPIReactAI Development ToolsMapping TechnologiesPostGIS

Industry Keywords

Cloud-Native ArchitectureProduction OperationsTechnical DebtAI/ML CapabilitiesLarge Language Models

Tech Stack

Tools & technologies

CloudDockerKubernetesPostGISPythonReactSQLTerraformTypeScript

About the role

Key responsibilities & impact

Own the end-to-end design, development, deployment, and maintenance of full-stack applications spanning user interfaces, backend services, APIs, and data integrations
Design, build, and maintain scalable, reliable cloud-based systems, including infrastructure, CI/CD pipelines, observability, security, and production operations
Take technical ownership of existing applications and services, understand their architecture, identify risks, address technical debt, and improve long-term maintainability
Provide hands-on technical leadership through architectural decisions, code reviews, mentorship, and close collaboration with Product and other engineering teams
Evaluate, develop, and integrate AI-powered solutions across engineering workflows, internal applications, and customer-facing products
Identify opportunities to improve productivity and deliver new capabilities while maintaining standards for security, correctness, and maintainability
Collaborate with internal stakeholders and external customers to understand needs, translate requirements into technical solutions, and support software delivery and adoption
Develop understanding of EarthOptics' applications, architecture, and cloud infrastructure during the first 60–120 days
Transition ownership of critical systems and identify key technical risks
Independently design, implement, and deploy a meaningful full-stack feature or enhancement
Identify and begin addressing technical debt, performance bottlenecks, or reliability issues
Evaluate AI development tools and recommend approaches that improve engineering productivity without compromising quality

Requirements

What you’ll need

7+ years of professional software engineering experience, or equivalent demonstrated experience building and maintaining production software
Strong full-stack engineering experience, including modern frontend frameworks, backend services, API development, and integration with databases and external systems
Hands-on experience designing, deploying, and maintaining applications using modern cloud infrastructure, including cloud-native architecture, deployment automation, and production operations
Proficiency with modern frontend and backend programming languages, with the ability to quickly learn and contribute to new technologies
Experience designing and working with relational databases, SQL, REST APIs, and common application integration patterns
Practical experience with infrastructure-as-code tools, containerization, and modern deployment technologies such as Terraform, Docker, Kubernetes, or equivalent solutions
Strong engineering practices, including automated testing, code reviews, observability, secure software development, debugging, and production incident response
Experience making architectural decisions, independently owning complex systems, and helping other engineers improve through technical guidance and mentorship
Familiarity with AI-assisted software development tools and the ability to use them effectively while critically evaluating generated code for accuracy, security, and maintainability
Strong problem-solving and communication skills, with experience collaborating across engineering, product, and other business functions
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Eligible to work in the United States
Production experience with Python and TypeScript, ideally including frameworks such as FastAPI, React, or similar technologies
Experience developing geospatial or data-intensive applications, including GIS, spatial databases such as PostGIS, mapping technologies, or large-scale scientific data pipelines
Experience integrating AI/ML capabilities, large language models, or agentic workflows into production software applications
Experience thriving in a small, fast-moving engineering team where individuals take broad ownership, adapt to changing priorities, and work closely with stakeholders to solve technical and business challenges
Must reside in the contiguous 48 states
Visa sponsorship or transfer is unavailable

Benefits

Comp & perks

Eligibility for bonus program
Equity option grant
Medical, Dental & Vision Insurance — 90% funded by EarthOptics for benefit-eligible employees and 55% for dependents
Company-paid LTD, STD, and Life Insurance
401k Plan + Employer Match up to 4%
Tenured PTO Accrual Policy starting with 17 days of paid time off per year
11 Paid Company Holidays
Remote work arrangement