Overview

What? Just seeking some good talent! \n

Responsibilities

• What? Just seeking some good talent!
• \nWhere? At BrightEdge, we innovate at the intersection of AI, SEO, and enterprise growth. We’re not just shaping the future of enterprise SEO and content performance; we’re also redefining how digital experiences drive real business results. Trusted by more than 55% of the Fortune 100 and 500, alongside 2000+ enterprise brands, our AI-powered platform transforms content into measurable traffic, engagement, and revenue.
• \nAbout the Role:
• \nWe are looking for Backend Engineers who can design and build scalable, reliable, and data-intensive backend systems while working in an AI-native development environment. This role sits at the intersection of backend engineering, data pipelines, automation, and modern AI-assisted software development. You will not be training models, but you will use AI tools and AI-powered services to build faster, ship cleaner code, and create more intelligent backend workflows.
• \nTitle: SDE III/Sr. SDE
• \nLocation: 100% remote
• \nWhat You’ll Do:
• \n\n • Design, build, and own robust public-facing APIs (REST/GraphQL) and microservices consumed by external developers and customers, alongside reliable data ingestion pipelines.
• \n • Integrate with diverse data sources, including APIs, databases, streaming systems, cloud storage, and third-party services.
• \n • Build systems that are scalable, fault-tolerant, observable, and cost-efficient.
• \n • Take end-to-end ownership of database schema design, query-layer optimisation, data modelling, and self-healing pipelines to support fast search and analytical query needs.
• \n • Work with product, platform, and data teams to ensure smooth and reliable data flow across systems.
• \n • Use AI coding assistants and AI-native developer tools to accelerate delivery, refactor code, debug issues, and improve documentation.
• \n • Build or integrate AI-driven automation for tasks like anomaly detection, intelligent routing, query optimisation, and operational support.
• \n • Contribute to testing, monitoring, alerting, CI/CD, and production readiness for all services you build.
• \nWhat You Bring:
• \n\n • Bachelor’s degree in Computer Science or Information Technology only.
• \n • Proven track record of shipping production-grade software with measurable impact.
• \n • Proven experience designing, versioning, and deploying external-facing APIs, with strong ownership of database schema modelling and query-performance tuning.
• \n • Demonstrated ability to deliver high-quality work quickly using modern AI tools.
• \n • Strong experience in Python for production-grade backend systems; Go is a plus.
• \n • Hands-on experience with distributed systems, backend architecture, and cloud platforms such as AWS or GCP.
• \n • Solid expertise in SQL, schema design, indexing, and query optimisation.
• \n • Experience in writing queries/views for product, analytics, or customer-facing use cases, more on reading and design, not just doing the pipeline.
• \n • Experience with data warehouses such as BigQuery, Redshift, Snowflake, or ClickHouse.
• \n • Working experience with real-time or batch data processing systems such as Kafka, Spark Streaming, or Flink.
• \n • Strong ownership mindset, clear communication, and a bias toward shipping reliable solutions.
• \nAI-Native Development Expectations:
• \n\n • Comfortable using tools like Cursor, Claude Code, GitHub Copilot, or equivalent AI assistants as part of your daily workflow.
• \n • Able to break down large problems, use AI to accelerate implementation, and still maintain strong judgment on architecture and code quality.