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Senior Software Engineer

Job in Gainesville, Alachua County, Florida, 32635, USA
Listing for: Satlantis US
Full Time position
Listed on 2026-02-08
Job specializations:
  • IT/Tech
    Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Satlantisis a leading-edge company specializing in high-performance satellite technology and data processing. We are at the forefront of innovation, developing advanced solutions for Earth observation and space exploration. Join our dynamic team in Gainesville, Florida, and contribute to groundbreaking projects that shape the future of satellite technology. For more information about the company, please visit  .

Position Summary

We areseekinga highly motivated and experienced Senior Software Engineer to lead the design and implementation of the web application layer for our satellite data processing platform, backed by robust ETL/ELT orchestration and production-grade AI inference (batch and on-demand). This is a hands-on role centered on building operator-facing and customer-facing web experiences (dashboards, workflow controls, data access) while owning the backend foundations:
APIs, workflow engines, scalable data pipelines, and inference services .

You will drive the architecture of end-to-end systems that move data from raw capture to analysis-ready products and AI insights—reliably, securely, and observably. You will set engineering standards, mentor teammates, and ship systems that are easy tooperateand evolve.

Whatyou’ll do
  • Design and deliver web applications thatoperatereal production systems. Build React/Type Script applications (internal tools and customer interfaces) for pipeline health, job controls, dataset discovery, audit history, and results visualization—backed by well-modeled APIs and strong UX for operators.
  • Own the backend platform powering the web experience. Design, build, andmaintainhigh-throughput backend services and APIs that ingest, transform, index, and serve imagery and derived products at scale, with safe evolution (versioning, migrations, backward compatibility).
  • Own ETL/ELT orchestration at production standards. Translate data and algorithm requirements into robust DAGs (Argo/Temporal) with retries/backfills, data quality checks, idempotency, SLAs, lineage, and cost-aware execution.
  • Integrate AI inference for both batch pipelines and online requests. Deploy models behind stateless inference services and job-driven batch inference; design for artifact management, versioning, canary/A-B rollout, GPU scheduling where needed, and end-to-end monitoring (latency, throughput, error modes, drift signals).
  • Engineer for scale, resilience, and security. Define service boundaries and contracts (OpenAPI/JSON Schema), implement secure-by-default patterns (OIDC,secretsmanagement, least privilege, audit logs), and ensure reliability with SLOs and operational runbooks.
  • Raise the engineering bar. Drive design reviews, code reviews, and testing strategy (unit/integration/e2e), and implement CI quality gates and performance benchmarking across both web and backend systems.
  • Mentor and multiply. Coach engineers, support onboarding, and shape hiring needs—helping theteamscale without losing speed or quality.
  • Deliver through Dev Ops. Own Infrastructure as Code (Terraform/Terragrunt), Kubernetes deployments (Helm/manifests), environment promotion (dev/staging/prod), and automation that makes delivery repeatable and auditable.
  • Partner across functions. Work closely with the CTO, product, and science teams to translate research and customer needs into roadmaps, milestones, and on-time deliveries.
Skills and experience (required)
  • Bachelor’s or Master’s degree in Computer Scienceor a related field.
  • 3+ years of professional experience building production backend systems with measurable uptime, performance, and security.
  • Language expertise: Python, with Type Script/Go/C++/Rust asplus. You write production-grade, well-tested services.
  • Async & concurrency: deep understanding of async programming models (e.g., Pythonasyncio/uvicorn, Node.js async/await), including back-pressure, non-blocking I/O, and throughput tuning.
  • API design at scale: RESTful service design (resource modeling, pagination, versioning, idempotency), schema/contract testing,auth

    N/Z, and backward-compatible evolution.
  • Data & storage: strong SQL (e.g., Postgre

    SQL), schemadesignand migrations; familiarity with non-relational stores and object…
Position Requirements
10+ Years work experience
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