Team Overview
TruAudience-Development Full Stack
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
Role Overview and Core Responsibilities
We are looking for a Senior Software Engineer to lead the design and delivery of scalable, high-impact software solutions across the full technology stack. This role requires deep technical expertise in full-stack development, JVM-based services, distributed systems, big data processing, and AI-powered applications.
Beyond technical excellence, the ideal candidate demonstrates strong ownership, clear communication, and the ability to influence engineering direction across teams. You will be expected to drive complex initiatives from conception to production, mentor engineers, and serve as a trusted technical partner for product and business stakeholders.
Key Responsibilities
Technical Leadership
•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.
Ownership & Execution
•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.
Communication & Collaboration
•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.
Mentorship & Team Development
•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.
•Lead by example through strong technical contributions and professional conduct.
Required Qualifications
•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.
Preferred Qualifications
Backend & Distributed Systems
•Java 21
•Spring Boot
•API design and service orchestration
•JVM performance tuning and diagnostics
Data & Analytics
•Apache Spark
•Data pipelines and ETL frameworks
•Data modeling and warehouse concepts
AI & Generative AI
•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.
Cloud & Platform Engineering
•Kubernetes
•Docker
•Infrastructure as Code
•CI/CD automation
•Monitoring and observability platforms
•Site Reliability Engineering (SRE) practices
Communication Competencies
•Communicates with clarity, precision, and appropriate audience awareness.
•Simplifies complex technical problems into understandable concepts and trade-offs.
•Builds trust through transparency, responsiveness, and follow-through.
•Influences without authority through data, technical expertise, and strong interpersonal skills.
•Effectively manages stakeholder expectations during planning, execution, and incident management.
•Drives alignment across teams and organizations to achieve shared outcomes.
Ownership Competencies
•Demonstrates a strong sense of accountability for customer and business outcomes.
•Identifies gaps, risks, and opportunities without waiting for direction.
•Takes initiative to solve organizational and technical challenges.
•Makes informed decisions in ambiguous situations.
•Maintains high standards for quality, reliability, and operational excellence.
•Follows through on commitments and drives issues to closure.
•Thinks beyond individual features and optimizes for long-term platform success.
Technical Skills
Frontend
•React / Angular
•TypeScript
•Modern JavaScript
•Frontend performance and accessibility
Backend
•Java
•Spring Boot
•REST APIs
•Microservices
•Distributed Systems
•JVM Internals and Performance
Data Engineering
•Apache Spark
•SQL
•Streaming and Batch Processing
•Data Pipeline Development
AI & Intelligent Systems
•Generative AI
•LLM Application Development
•RAG
•Prompt Engineering
•Vector Databases
•Semantic Search
•AI Agents
Cloud & DevOps
•Azure / AWS / GCP
•Docker
•Kubernetes
•CI/CD
•Infrastructure as Code
•Observability & Monitoring
