Senior Software Engineer role to design, build, and operate backend services for Forecasting and Recommendations platforms focusing on production-grade AI and data-driven decisioning systems. Responsibilities include building scalable, low-latency distributed systems, APIs, event-driven pipelines, and cloud infrastructure. Requires 8-12 years experience in software engineering with expertise in distributed systems, backend APIs, machine-learning-driven systems, AWS, Kafka, Elasticsearch, NoSQL databases, container-based solutions, and microservices. Proficiency in backend languages such as Python, Java, Ruby, Go, or Scala is required. The role involves collaboration with data science and product teams, ensuring product quality, observability, reliability, incident response, and mentoring other engineers. Location: Bangalore, India.
What you'll do
Design, build, and operate backend services supporting forecasting, recommendations, and Performance Advisor workflows in production
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Write production-quality code daily; own significant services and components from design through deployment, support, and incident resolution
Build low-latency, high-throughput SaaS services including APIs, event-driven pipelines, data-processing services, and model-integration workflows
Develop and maintain scalable backend components that support AI- and machine-learning-driven product capabilities
Collaborate with data science, platform, and product teams to integrate forecasting, recommendation, and AI decisioning capabilities into production systems
Work with technologies such as Kafka, Elasticsearch, NoSQL databases, and AWS to build resilient distributed systems
Ensure product quality through rigorous code reviews, unit tests, debugging, and continuous improvement
Champion observability and reliability through metrics, logging, tracing, alerting, and root-cause analysis
Participate in production incident response, retrospectives, and systemic fixes
Identify performance, scalability, and reliability risks early and contribute practical solutions
Reduce complexity across services, infrastructure, and processes to improve stability and team velocity
Collaborate effectively across engineering and product teams in a large, distributed development
Mentor and support other engineers through code reviews, design discussions, and collaborative problem solving
Ship meaningful services, features, and infrastructure improvements that advance the Performance Advisor platform
Requirements
8–12 years of professional software engineering experience building and operating scalable, robust backend systems
Hands-on ownership of production services with improvements in performance, reliability, scalability, or cost
Strong expertise in distributed systems design including service boundaries, concurrency, data modeling, failure handling, and scalability tradeoffs
Experience developing high-throughput, event-driven systems and backend APIs
Experience supporting machine-learning-driven systems, forecasting, recommendations, or similar data-driven applications preferred
Strong hands-on experience with AWS and cloud-native system design and operations
Experience with Kafka, Elasticsearch, NoSQL databases such as Aerospike, Thrift, and modern CI/CD pipelines
Experience with container-based solutions and microservices architectures
Proficiency in one or more backend languages such as Python, Java, Ruby, Go, or Scala
Familiarity with modern AI-enabled applications, LLM integrations, or agentic workflows is a plus
Strong object-oriented programming, system design, problem-solving, critical-thinking, and communication skills
Bachelor’s or master’s degree in computer science, Mathematics, Engineering, or related field or equivalent practical experience
