Senior Software Engineer (AI-powered products, AI/ML models)

Overview

Senior Software Engineer building observability capabilities (Prometheus, full stack) to transform telemetry, monitoring and observability for on-prem, private and public cloud platforms to improve availability.

What you'll do

• Contribute to complex technology initiatives, including companywide initiatives with broad impact.
• Act as a key participant in developing standards and companywide best practices for engineering complex, large-scale technology solutions.
• Design, code, test, debug, and document projects and programs.
• Make decisions on standard and companywide best practices for engineering and technology solutions, influencing and leading the technology team to meet deliverables and drive new initiatives.
• Collaborate and consult with key technical experts, senior technology team members, and external industry groups to resolve complex technical issues and achieve goals.
• Provide strategic guidance, direction, and expertise to leadership in implementing innovative, high-impact business solutions.
• Stay current on industry best practices and emerging technologies, recommending innovations that improve operations or strengthen competitive advantage.
• Contribute to projects or serve as a peer mentor.
• Champion the adoption of AI and agentic systems within observability, including intelligent insights and anomaly detection, guided root-cause analysis and remediation, and automation to reduce operational toil.

What you'll need

• 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of work experience, training, military experience, or education.

Nice to have

• 4+ years of strong Software Engineering experience with modern programming languages.
• Experience with Cloud, Kubernetes, Prometheus, Grafana, Open Telemetry, Time Series Metrics, Capacity, Machine Learning, or Synthetics monitoring tools.
• Experience with Python, JavaScript, Java Spring Boot, ReactJS, Spring Framework, UML, NoSQL and SQL databases, Kafka pub/sub model, ETL, Microservices development, Kubernetes.
• 3+ years of experience developing AI-powered products end-to-end.
• Design, develop, and deploy AI/ML models, including data preprocessing, feature engineering, model training, and optimization.
• Experience building and deploying microservices and cross-channel RESTful APIs.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud.
• Experience in data analysis, data import, and data feeds.
• Deep technical understanding of core concepts, memory management, multi-threading, REST-based services, React, and Spring/Spring Boot.
• Strong verbal, written, and interpersonal communication skills.
• Ability to influence and build relationships with LOB stakeholders, technology CIO leadership, external service providers, and architecture teams.
• Experience in one or a combination of Capacity Analytics, time series metrics analysis, Telemetry, Monitoring, or Observability.
• Knowledge of Agile methodologies and product operating model.
• Knowledge of application or software security, such as web application penetration testing, secure code review, and secure static code analysis.
• Knowledge of technology architecture and solutions development.
• Knowledge of complex enterprise systems and frameworks, including frontends, middleware, services layer, database, backend, and downstream interfaces.

Details

• Location: Bengaluru, India.
• Posting end date: 25 Oct 2026.