Senior Backend Engineer

Gravitate

. Drive delivery of large backend features end-to-end .

Posted 9/18/2026full-timeRemote • Texas • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production backend systems, with a strong focus on Python, API design, and data modeling. Capable of leading technical design, mentoring engineers, and effectively communicating complex topics to diverse stakeholders.

Highest-signal resume keywords

Python DevelopmentAPI DesignKubernetes DeploymentMongoDB Data ModelingDebugging and Troubleshooting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Software EngineeringData ModelingAutomated TestingPerformance OptimizationTechnical Documentation

Soft Skills

Strong Communication SkillsMentoringTeam CollaborationProblem-SolvingConstructive Feedback

Tools & Technologies

KubernetesGCPAzureAI-Enabled Development WorkflowCI/CD Practices

Industry Keywords

B2B SaaSEnterprise SoftwareLogisticsSupply ChainEnergy/Fuel Domain

Tech Stack

Tools & technologies

AzureGoogle Cloud PlatformKubernetesMongoDBPythonReactTypeScript

About the role

Key responsibilities & impact

Drive delivery of large backend features end-to-end
Break large projects into manageable plans, estimate work, and raise risks early
Lead technical design for complex features and evaluate performance, maintainability, and cost trade-offs
Document technical decisions and design for extensibility
Own a significant product area or full service, including reliability, performance, and evolution
Build and operate Python services, APIs, and MongoDB data models
Deploy and operate systems on Kubernetes across GCP and Azure
Debug and resolve medium-to-large production issues
Identify root causes and drive response and recovery
Drive monitoring, observability, and performance health
Review code and technical designs with constructive feedback
Mentor junior and mid-level engineers
Partner with product on medium-to-large features and help shape product decisions
Write technical documents and communicate complex topics to non-technical stakeholders
Proactively unblock team members and make pragmatic speed-versus-quality trade-offs
Help shape team culture and engineering practices
Work with an AI-enabled development workflow and help build supporting harnesses

Requirements

What you’ll need

5+ years of professional software engineering experience building and operating production backend systems
Deep expertise in multiple areas of a backend stack
Python preferred as a primary server-side language
Experience with API design, data modeling, and automated testing
Demonstrated track record of delivering large features end-to-end with moderate unknowns
Experience owning a service or major product area in production, including reliability and performance
Strong debugging and troubleshooting skills on medium-to-large issues
Comfortable participating in on-call for owned systems
Working knowledge of infrastructure, security, observability, CI/CD, and deployment practices
Experience mentoring junior and mid-level engineers
Experience giving high-quality code review feedback
Strong written and verbal communication skills
Ability to produce clear medium-to-large technical documents
Ability to explain trade-offs to non-technical stakeholders
Openness to utilizing and becoming an expert in AI-assisted development
Nice to have: Python, MongoDB, Kubernetes, GCP or Azure
Nice to have: React/TypeScript experience
Nice to have: B2B SaaS or enterprise software experience
Nice to have: logistics, supply chain, or energy/fuel domain background
Nice to have: performance and scale work with large data volumes, query optimization, caching, and profiling
Nice to have: AI engineering experience with production agentic systems and ML/operations models

Benefits

Comp & perks

Fully remote work arrangement