Sr Engineer

Overview

Senior Software Engineer role on the TruAudience-Development Full Stack team, leading the design and delivery of scalable, high-impact software across the full technology stack.

What you'll do

• Design, build, and operate highly scalable and reliable applications and services.
• Lead architecture and technical design discussions for complex systems and platform capabilities.
• Develop full-stack solutions spanning frontend experiences, backend services, APIs, and data platforms.
• Build and optimize distributed systems leveraging JVM technologies and cloud-native architectures.
• Design and implement large-scale data processing pipelines using Apache Spark.
• Drive adoption of AI-powered capabilities including copilots, intelligent search, recommendations, and workflow automation.
• Establish engineering standards related to performance, scalability, reliability, observability, and security.
• Own large, ambiguous problem spaces and drive them to successful outcomes with minimal oversight.
• Translate business requirements into scalable technical solutions and execution plans.
• Proactively identify technical debt, operational risks, and scalability challenges before they impact customers.
• Balance short-term delivery goals with long-term platform sustainability.
• Lead incident resolution efforts and drive root-cause analysis and corrective actions.
• Demonstrate end-to-end accountability for services and customer outcomes.
• Communicate complex technical concepts effectively to both engineering and non-technical audiences.
• Partner closely with Product Managers, Designers, Data Scientists, and leadership teams to align technical investments with business goals.
• Drive technical discussions and influence decisions across organizational boundaries.
• Present technical proposals, design reviews, and architectural recommendations with clarity and confidence.
• Build alignment among stakeholders with differing priorities and perspectives.
• Provide clear, actionable feedback during design reviews, code reviews, and mentoring sessions.
• Mentor junior and mid-level engineers through technical coaching and career development support.
• Raise the engineering bar through design reviews, code quality standards, and knowledge sharing.
• Foster a culture of accountability, customer focus, engineering excellence, and continuous learning.

What you'll need

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 6+ years of professional software engineering experience.
• Proven experience designing and operating large-scale, distributed software systems.
• Strong expertise in Java and the JVM ecosystem.
• Experience building microservices and cloud-native applications.
• Hands-on experience with modern frontend frameworks such as React or Angular.
• Strong understanding of system design, distributed computing, and software architecture principles.
• Experience building and optimizing large-scale data processing solutions using Apache Spark.
• Experience working with cloud platforms such as Azure, AWS, or GCP.
• Strong understanding of software development best practices including testing, code quality, CI/CD, and observability.

Nice to have

• Java 21, Spring Boot, API design and service orchestration, JVM performance tuning and diagnostics.
• Apache Spark, data pipelines and ETL frameworks, data modeling and warehouse concepts.
• Experience delivering production-grade AI-powered features.
• Familiarity with LLM application development and orchestration frameworks.
• Experience with Azure OpenAI, OpenAI APIs, or equivalent AI platforms.
• Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search.
• Experience evaluating AI quality, grounding, safety, and responsible AI considerations.
• Exposure to AI agents and workflow automation frameworks.
• Kubernetes, Docker, Infrastructure as Code, CI/CD automation.
• Monitoring and observability platforms, Site Reliability Engineering (SRE) practices.

Details

• Location: Bengaluru.
• Hybrid position: a minimum of two days a week at an assigned TU office location, with the remainder performed virtually.