Senior Software Development Engineer (Social Listing)
New
H
HighLevelSaaS, Social Media
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- Node.jsMongoDBTypeScriptVue.JsRedisNest.jsReactDistributed Systems
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 webhooks.
- 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.
- Experience with MongoDB, Redis, and data-intensive applications.
- Experience with large-scale data ingestion, ETL/ELT, or data warehousing (e.g., ClickHouse, BigQuery, Snowflake, Elasticsearch).
- Hands-on experience building AI-powered software using LLM APIs, embeddings, RAG, image/video generation, or agentic workflows.
- Ability to lead technical discussions and collaborate effectively in a remote environment.
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.
- Design and operate reliable distributed systems using message queues, background workers, schedulers, retries, idempotency, caching, and high-volume third-party platform API integrations.
- 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.
- Build production-grade AI capabilities using LLMs, image/video generation, embeddings, RAG, tool calling, and agentic workflows.
- Follow and promote Test-Driven Development and strong automated testing practices to reduce defect leakage.
- Raise the engineering quality bar through code reviews, design reviews, engineering standards, and mentorship.
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