Top Remote Senior Level Software Engineer Jobs in Los Angeles, CA

Leads marketing technology architecture, integrations, platform governance, and technical enablement. Designs cloud-native, API-driven solutions across Adobe, Salesforce, CDP, CRM, analytics, and AI platforms; oversees data models, identity resolution, observability, security, and operational health. Manages roadmap prioritization, budgets, vendors, implementations, and a technical team. Establishes AI governance and enables responsible use of generative, predictive, and agentic capabilities across marketing and customer engagement workflows.

Build and ship a full-stack data collection and search platform for defense and intelligence users. Develop frontend, backend, data ingestion, storage, indexing, APIs, and agentic AI capabilities using TypeScript, React, Tailwind, Node.js, PostgreSQL, and AWS. Partner with mission owners, customers, designers, and engineers to translate intelligence workflows into intuitive, mission-ready products supporting information analysis and visualization.

Build developer tooling and agent workflows that help engineers safely modify large monorepos. Develop CLIs, desktop integrations, agentic loops, observability interfaces, guardrails, tests, and automation. Lead framework upgrades, language migrations, dependency updates, and large refactors while improving developer workflow, codebase health, adoption, and engineering productivity. Set technical direction and mentor engineers on agent design and tooling.

Build and ship custom full-stack programs for AI labs and product teams, including capture flows, task logic, data pipelines, validation, redaction, provenance, and delivery across web, mobile, and backend systems. Partner directly with technical customers to scope ambiguous requirements, determine what to reuse or build, ship production code, establish data quality processes, and turn repeatable custom solutions into core platform capabilities.

Lead technical analysis and design of healthcare interoperability solutions, defining data exchanges and integration workflows (APIs, HL7, X12, SFTP). Conduct client discovery, produce mappings and interface specs, investigate failures, develop tests, manage multiple implementations, support launches and steady-state operations, and mentor junior analysts.

Build and optimize growth systems that increase patient bookings and engagement. Design experiments across messaging, outreach, and in-product booking flows; develop backend systems for experimentation and activation; monitor funnel metrics; analyze drop-offs; prioritize growth opportunities; and collaborate with product, design, data, and operations teams. The role emphasizes rapid experimentation, product-led growth, and measurable improvements in activation, conversion, retention, and booking.

Build and operate high-throughput backend services for AI agents, calendar, scheduling, integrations, real-time data pipelines, and APIs. Design platform infrastructure, event-driven systems, and client-server protocols using Go, PostgreSQL, Kubernetes, and cloud platforms. Collaborate with AI, product, and frontend teams, improve reliability through testing and infrastructure as code, and mentor junior engineers.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

Design and implement C++ features for MongoDB’s replication infrastructure, improving availability, recovery, consistency, performance, and fault tolerance. Diagnose distributed-systems issues, develop comprehensive tests, collaborate across engineering teams, participate in design and code reviews, and mentor junior engineers. The role involves owning technical work from investigation through delivery and contributing to major MongoDB releases.

Lead the design, development, and operation of integrations and API products. Establish standards for API contracts, authentication, authorization, versioning, reliability, observability, documentation, and developer experience. Drive cross-team system architecture, production readiness, scalability, security, and resilience while mentoring engineers and aligning technical decisions with product and business goals.