Senior Software Engineer

fb9e7da1-2660-46a2-9ffc-154a66684510•Los Angeles, CA

53d•$168,000 - $224,000•Hybrid

About The Position

BuildOps is building software purpose-built for commercial contractors, supporting workflows that keep buildings, businesses, and critical infrastructure operating. The Senior Software Engineer will build and scale product experiences and systems across frontend applications, backend services, APIs, and integrations. The role partners closely with Engineering, Product, and Design to solve complex problems, improve reliability and usability, and deliver customer and business impact. The position involves owning meaningful technical problems end to end, navigating ambiguity with sound judgment, and raising engineering quality across the team. The engineer will contribute in a fast-moving environment, mentor others, and use AI tools as a practical force multiplier in day-to-day work.

Requirements

At least 5 years of software engineering experience building and operating production systems at scale.
Strong software engineering fundamentals and experience building product features across frontend and backend systems.
Experience building reliable APIs, services, and user-facing applications in a modern production environment.
Strong software design instincts, including decomposing complex business problems into maintainable technical solutions.
Solid understanding of databases, data modeling, and tradeoffs across relational databases.
Experience with modern web application patterns and polished customer-facing product experiences.
Experience owning projects with meaningful ambiguity and making sound technical decisions with incomplete information.
Demonstrated ability to work cross-functionally and align stakeholders beyond the immediate team.
Strong debugging and problem-solving skills, including identifying root causes and simplifying systems over time.
Clear written and verbal communication skills, particularly in design documents, technical tradeoff discussions, and stakeholder updates.
A track record of mentoring teammates and improving engineering quality.
Ownership, urgency, and accountability for successfully shipping and operating software.
Comfort working in a fast-paced startup environment where priorities evolve and strong judgment matters.
Practical experience using AI-assisted development tools to improve engineering throughput, learning speed, and execution quality.
B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field from a top university.
Ability to work a hybrid schedule, working from home Monday and Friday and collaborating in the office Tuesday through Thursday.

Nice To Haves

Experience with TypeScript, JavaScript, Python, or other modern application stacks.
Experience with React or similar frontend frameworks.
Experience with cloud infrastructure, Kubernetes, Docker, or infrastructure-as-code tooling.
Familiarity with Kafka, Redis, Elasticsearch, or other event-driven and high-throughput systems.
Experience with AWS or similar cloud platforms.
Experience building integrations, internal platform capabilities, or data pipelines.
Experience in SaaS, vertical software, or systems supporting operational workflows.
Experience using Claude Code or similar AI coding agents in day-to-day development workflows.

Responsibilities

Design, build, and maintain high-quality product features and systems across frontend and backend applications.
Own projects through their full lifecycle, from technical design and implementation through rollout, monitoring, and long-term maintenance.
Partner with product managers, designers, and engineers to turn ambiguous problems into clear technical plans and well-scoped milestones.
Write clean, maintainable, well-tested code, prioritizing simplicity, reliability, and long-term extensibility.
Build user-facing experiences and supporting APIs that work across client, service, and data boundaries.
Design systems with observability and reliability in mind, including metrics, dashboards, alerting, and health checks.
Improve the performance, scalability, and resilience of owned products and systems.
Identify technical risks, cross-team dependencies, and sources of toil before they become execution bottlenecks.
Contribute to design reviews, technical discussions, and architecture decisions.
Mentor less-experienced engineers through code review, technical guidance, and example-setting.
Strengthen engineering culture by sharing knowledge, improving standards, and contributing to a collaborative, high-accountability environment.
Use AI tools thoughtfully for development, debugging, documentation, and workflow acceleration while maintaining strong engineering judgment.