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Senior Software Engineer – Full-stack
OnebriefSenior Software Engineer designing and building systems for AI-powered workflow software at Onebrief. Collaborating across frontend, backend, and infrastructure with a focus on performance and scalability.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack software engineering, with a strong focus on distributed systems, API design, and cloud infrastructure. Proven ability to deliver complex projects while leveraging AI-assisted development tools for enhanced productivity.
Highest-signal resume keywords
Full-Stack Software EngineeringAPI Design (REST, GraphQL, gRPC)Cloud Infrastructure (Docker, Kubernetes, AWS/GCP/Azure)AI Coding Tools (Claude Code, Cursor, Copilot)Distributed Systems
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Software EngineeringData ModelingPerformance OptimizationScalability SolutionsSecurity Issue ResolutionMonitoring and AlertingClient-Side ArchitectureBackend Services DevelopmentFrontend Interfaces DevelopmentInfrastructure Management
Soft Skills
Strong Communication SkillsAbility to Context-SwitchTeam CollaborationOwnership of ProjectsFast Ramp-Up on New Domains
Tools & Technologies
DockerKubernetesAWSGCPAzureAI-Assisted Development Tools
Industry Keywords
Distributed SystemsAPI DesignCloud InfrastructureSoftware Development LifecycleAgile Methodologies
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformGraphQLGRPCKubernetes
About the role
Key responsibilities & impact- Design, build, and maintain systems across the stack, from frontend interfaces and APIs to backend services, databases, and infrastructure.
- Rotate across squads as priorities shift, bringing your expertise to wherever it creates the most leverage, and ramping quickly in unfamiliar domains.
- Evolve and optimize core systems including data models, authentication flows, API layers, and client-side architecture.
- Diagnose and resolve performance, scalability, reliability, and security issues in production.
- Collaborate on architecture and long-term strategy across platform, infrastructure, and product dimensions.
- Implement and refine monitoring, alerting, observability, and auditing across systems.
- Use AI-assisted development tools to accelerate implementation, testing, and code quality — and help establish team norms for doing so effectively.
- Balance long-term engineering quality with pragmatic, high-velocity delivery.
Requirements
What you’ll need- 6+ years of experience in software engineering
- Equivalent practical experience valued equally to a formal degree
- Fluency across the stack. Comfortable working in frontend, backend, and infrastructure as the problem demands
- Strong understanding of distributed systems, API design (REST, GraphQL, gRPC), and data modeling
- Hands-on experience with containerization and cloud infrastructure (Docker, Kubernetes, AWS/GCP/Azure)
- Comfort operating in a fluid squad model, able to context-switch, ramp fast on new domains, and contribute without needing long warm-up time
- Active use of AI coding tools (e.g., Claude Code, Cursor, Copilot) to accelerate development. We expect engineers to treat AI as a force multiplier, not an afterthought
- Strong communication skills and the ability to clearly articulate technical trade-offs
- Track record of ownership and delivering complex projects in a fast-paced environment.
Benefits
Comp & perks- Flexible Work Environment: Remote work with flexible hours and unlimited PTO.
- Comprehensive Health Coverage: Health, dental, vision, and life insurance.
- Retirement Plan: 401(k) plan to secure your future.
- Parental Leave: 8 weeks at 100% regardless of state.
- Company Retreats: Annual company summit trips.
- Home Office Budget: $1,000 per year for home office improvements.