Senior Software Development Engineer (Social Listing)

Job description

**About us** HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes. To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently. Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability. **Our people** With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home. **Our impact** Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that. Learn more about us on our [YouTube Channel](https://www.youtube.com/channel/UCXFiV4qDX5ipE-DQcsm1j4g) or [Blog Posts](https://blog.gohighlevel.com/general-atlantic-joins-highlevel/) **About the Team:** Millions of businesses post to social media through HighLevel's Social Planner. Hundreds of thousands of posts go out every day across every major social platform, each with its own API, rate limits, and frequent changes. Our job is to make that look easy.We're a small team with a big surface area, and we're building the next layer on top of publishing: understanding what the internet is saying about our customers, at scale, with AI. We're hiring a senior full stack engineer who can own critical systems and large features end to end, proactively identify problems, drive scalable solutions, and raise the engineering quality bar across the team. ### Responsibilities - Own critical subsystems and large features end to end - from problem discovery and technical design through development, rollout, monitoring, and measuring customer and business impact. - Lead major technical initiatives within the team and drive architecture, design, implementation, rollout strategy, and post-release improvements. - Proactively identify system problems, including scalability bottlenecks, reliability risks, performance issues, technical debt, usability gaps, and operational inefficiencies, and drive solutions without waiting for them to be assigned. - Design and operate reliable distributed systems using message queues, background workers, schedulers, retries, idempotency, caching, and high-volume third-party platform API integrations. - Anticipate scale, edge cases, failure modes, rate limits, API changes, and downstream system implications before they become production problems. - Evaluate architectural and technology trade-offs across scalability, reliability, maintainability, cost, development velocity, and customer impact. - Build data pipelines that ingest and enrich large volumes of social data and metrics from multiple sources and provide infrastructure for fast analytics and insights. - Process media at scale, including image and video upload, transformation, optimization, generation, storage, and delivery in the formats required by different social platforms. - Ship both backend APIs and frontend experiences, with strong attention to usability, performance, accessibility, and customer experience. - Build production-grade AI capabilities using LLMs, image/video generation, embeddings, RAG, tool calling, and agentic workflows to improve customer outcomes. - Identify opportunities where AI and intelligent technologies can improve product capabilities, engineering productivity, system reliability, or operational efficiency, and validate them through prototypes and measurable outcomes. - Follow and promote Test-Driven Development and strong automated testing practices to reduce defect leakage and improve release confidence. - Own production quality through observability, monitoring, incident investigation, root-cause analysis, and permanent corrective actions. - Raise the engineering quality bar through code reviews, design reviews, engineering standards, documentation, testing practices, and maintainable architecture. - Mentor engineers and help the team make better technical decisions through design discussions, reviews, prototypes, and knowledge sharing. ### Requirements - 4+ years of hands-on software engineering experience building and operating production systems, preferably SaaS products at meaningful scale. - Strong experience independently owning complex or business-critical features or services from design through production. - Hands-on experience building distributed systems using message queues, background workers, schedulers, retries, idempotency, caching, and high-volume third-party API integrations. - Extensive experience integrating with third-party APIs and handling real-world challenges such as rate limits, authentication and token management, webhooks, retries, API version changes, partial failures, and inconsistent external dependencies. - Strong ability to proactively identify system problems and drive improvements across scalability, reliability, performance, maintainability, and technical debt. - Strong understanding of system design and the ability to evaluate architectural trade-offs, edge cases, downstream dependencies, and long-term implications. - Strong engineering fundamentals with experience writing clean, maintainable, well-tested code and applying Test-Driven Development or similar disciplined testing practices. - Strong TypeScript and Node.js experience; hands-on experience with NestJS is preferred. - Experience building customer-facing web applications using Vue.js, React, Angular, or similar modern frontend frameworks, with a good understanding of UI/UX principles and the ability to identify usability gaps. - Experience with MongoDB, Redis, and data-intensive applications. - Experience with large-scale data ingestion, ETL/ELT, analytics, or data warehousing using technologies such as ClickHouse, BigQuery, Snowflake, Elasticsearch, or similar systems. - Hands-on experience building AI-powered software using LLM APIs, embeddings, RAG, image/video generation, tool calling, or agentic workflows. - Ability to move AI features beyond prototypes into reliable production systems with appropriate evaluation, observability, guardrails, cost considerations, and failure handling. - Hands-on experience with AI-assisted software development and the ability to use AI coding tools thoughtfully while maintaining ownership of architecture, quality, security, and correctness. - Customer-first and product-oriented mindset: start with the customer or business problem and select technology based on the desired outcome. - Strong written and verbal communication skills, with the ability to lead technical discussions, communicate trade-offs clearly, and collaborate effectively in a remote environment. ### Nice to Have - Experience building social listening, monitoring, sentiment analysis, trend detection, brand intelligence, social publishing, or social media management products. - Hands-on experience integrating with social platform APIs such as Meta/Facebook, Instagram, LinkedIn, TikTok, YouTube, X/Twitter, Pinterest, Google Business Profile, or similar platforms. - Experience designing systems for high-volume event ingestion and near real-time processing using Pub/Sub, Kafka, SQS, RabbitMQ, or similar event-driven architectures. - Experience working with high-volume external APIs where rate limiting, token lifecycle management, webhooks, asynchronous processing, and third-party reliability are core challenges. - Experience with social listening, NLP, sentiment analysis, trend detection, topic classification, entity extraction, or deriving insights from unstructured social data. - Experience building AI workflows that generate personalized posts, images, videos, recommendations, or marketing content from customer or business data. - Experience designing or operating agentic workflows involving tools, retrieval, structured outputs, evaluation, guardrails, and human-in-the-loop patterns. - Experience with large-scale image/video processing, including transcoding, optimization, codecs, storage, CDN delivery, or asynchronous media pipelines. - Experience with GCP technologies such as Pub/Sub, Cloud Storage, GKE, Firestore, monitoring, and autoscaling. - Previous experience in SaaS, MarTech, CRM, social media management, analytics, or a high-growth product environment. - Experience leading technical design discussions, writing design documents, mentoring engineers, and improving engineering standards within a team. - Contributions to open-source projects, technical writing, side projects, or experimentation with emerging AI and engineering technologies.