Principal Engineer

Job Summary

We are looking for a highly experienced Principal Engineer with 10+ years of software engineering expertise and a strong background in designing and scaling AI-driven and data-intensive systems. The ideal candidate will combine deep technical knowledge with architectural leadership, client-facing capabilities, and a passion for engineering excellence. This role involves driving technical strategy, mentoring engineering teams, and building scalable cloud-native solutions while balancing business priorities with sound engineering practices.

Job Requirements

• 10+ years of software engineering experience, with at least 3+ years in a Principal Engineer, Staff Engineer, Lead Architect, or similar leadership role.
• Strong hands-on expertise in Java.
• Proven experience designing and building large-scale AI and data-intensive systems.
• Experience with data processing architectures, including ETL pipelines, streaming systems, and data lakes.
• Extensive knowledge of cloud platforms such as AWS, GCP, or Azure.
• Strong understanding of containerization and orchestration technologies, including Docker and Kubernetes.
• Experience designing and implementing microservices-based architectures.
• Practical experience with Extreme Programming (XP) practices such as TDD, Pair Programming, and CI/CD.
• Excellent stakeholder management, client communication, and consulting skills.
• Strong problem-solving abilities with a pragmatic approach to balancing technical excellence and business needs.
• Familiarity with AI/ML concepts, LLM integrations, or MLOps is a plus.
• Experience with big data technologies such as Apache Spark, Kafka, or Flink is preferred.
• Previous experience in a consulting or services organization is an advantage.

Job Responsibilities

• Design and architect scalable, cloud-native AI and data platforms that support business growth and innovation.
• Lead technical decision-making, ensuring solutions are robust, secure, maintainable, and aligned with business objectives.
• Build and optimize data-intensive applications, distributed systems, and AI-enabled solutions.
• Serve as the primary technical point of contact for clients, translating complex technical concepts into business value.
• Collaborate with stakeholders to define technical roadmaps, evaluate solution feasibility, and manage expectations.
• Provide technical leadership and mentorship to engineering teams through code reviews, architecture reviews, and coaching.
• Champion engineering best practices, including clean code principles, automated testing, CI/CD, and continuous improvement.
• Work closely with Product Owners and Engineering Managers to ensure successful delivery and smooth sprint execution.
• Drive the adoption and evolution of Extreme Programming (XP) practices across teams.
• Support technical pre-sales activities, solution design discussions, and client engagements when required.
• Continuously evaluate emerging technologies and recommend improvements to architecture, development processes, and engineering practices.

Benefits

• Innovative Engineering: Collaborative, fail-fast, flat hierarchy. Fosters learning, initiative, curiosity.
• Masterful Development: Emphasizes clean code, SOLID principles, TDD/BDD. Utilizes robust CI/CD and polyglot engineering.
• Continuous Growth: Structured mentorship, masterclasses, Geeknights, workshops, continuous skill enhancement, blog contributions.
• Agile & Client-Centric: Adopts Agile (Scrum, XP), promotes project ownership and deep client understanding for impactful solutions.
• Supportive Environment: Healthy work-life balance, flexible schedules, comprehensive benefits (generous leave), strong team-building.