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Salary
≈ $28k – $58k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff

First seen by Alion on Sep 9, 2026.

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Thanks for Stopping By. We're working behind the scenes on a new Augusta Infotech website so we can continue to help you connect with top talent and exciting career opportunities faster than ever.

Principal Engineer - AI, Full stack, Cloud Native Engineering, SDLC

Role:

We are seeking a bold, innovative technology leader with strong engineering depth and a passion for building cloud-native, AI-driven ecosystems. You will help architect and execute a technology landscape where AI augments every team, automation is the default, and engineering is executed with precision, quality, and modern craftsmanship.

Mission:

- Champion an AI-first culture, inspiring teams to think creatively about how AI accelerates development, optimizes business processes, and generates measurable value.

- Elevate engineering standards, embedding scalable architecture patterns, automated controls, and continuous delivery practices.

- Drive automation at scale, enabling intelligent tooling, self-service platforms, and reusable engineering capabilities.

- Shape a modern cloud and data ecosystem, enabling seamless integration, governed data flows, and analytics capabilities that empower business decision-making.

- Simplify and modernize the landscape, driving standardization, reuse, and efficiency to enable faster, smarter delivery.

Essential Skills:

- Drive an AI-first, cloud-native engineering ecosystem with ownership across the entire SDLC from requirements and design through build, test, release, deployment, and operations.

- Proven experience in building AI solutions across the full SDLC, including solution design, development, model training, deployment, and operationalization of enterprise-grade AI platforms and models.

- Establish modern engineering standards, reusable architecture patterns, frameworks, and libraries, with a strong focus on quality engineering, test automation, resilient design, and continuous improvement.

- Lead the implementation of modern DevSecOps practices, including CI/CD pipelines, automated testing, observability, and release automation, supported by proficiency in languages such as Python, Java, or Go.

- Thought leadership in engineering, cloud, and AI trends, combined with hands-on experience modernizing technology landscapes and building scalable platforms.

- Coach and grow engineering teams, foster a collaborative and high-performance culture, and lead change through hands-on guidance.

Personal Characteristics:

- Clear and influential communicator who can translate complex technical concepts into meaningful insights for both engineering teams and business stakeholders.

- Comfortable leading in high-change, high-ambiguity environments, bringing structure, direction, and innovative thinking.

- Champion of engineering culture and operational excellence, with a strong desire to uplift teams through best practices and disciplined innovation.

- Adaptable and growth-oriented, embracing new ideas and modern technologies.

- Strategic and creative problem-solver, capable of thinking beyond the immediate challenge to identify scalable, long-term solutions.

Skills

AI Integration, Full Stack, Cloud, SDLC, Solution Design, Python, Java, Golang, DevSecOps, Native Cloud, Technical Architect

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