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Principal Software Engineer - Java/Spring Boot/React (In Office)
About the Role
Required Skills
Technical
AI & Generative AI
Leadership & Soft Skills
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We are hiring a Principal Full-Stack Engineer to design, build, and operate scalable enterprise applications on a modern Java and React stack. This is a senior individual-contributor role with technical leadership scope: you will own architecture decisions, drive engineering excellence, integrate AI capabilities into production systems, and mentor mid- and junior-level engineers.
The right candidate has deep hands‑on expertise across backend, frontend, cloud‑native microservices, and DevSecOps practices — and the judgment to make trade‑offs in ambiguity without waiting for direction.
Must‑Have Technologies: React, Java 17+, Python, Microservices, AWS/Azure, RDBMS, NoSQL
Responsibilities- Own architecture decisions and drive engineering excellence on a modern Java, Python, and React stack.
- Integrate AI capabilities into production systems, including LLMs, embeddings, RAG pipelines, and agentic workflows.
- Drive architectural decisions and set technical direction across cross‑functional teams.
- Lead end‑to‑end delivery of complex projects, from design through deployment.
- Mentor mid‑ and junior‑level engineers through complex tickets, debugging, root‑cause analysis, and production incident response.
- Coach engineers on writing effective unit and integration tests and navigating CI/CD pipelines with confidence.
- Guide engineers into adjacent areas such as cloud computing, AI/ML, and DevOps to expand their scope and impact.
- Collaborate with data science and ML teams to operationalize models, build evaluation pipelines, and deploy production‑ready AI services.
- Translate business requirements into scalable technical solutions and explain trade‑offs to product, design, and executive stakeholders.
Required Skills
Technical
- 10+ years of hands‑on software development experience, with deep expertise in modern Java full‑stack development.
- Strong command of Java frameworks and libraries, including Spring, Spring Boot, and Hibernate.
- Proven experience building single‑page web applications using React, Bootstrap, and Node.js.
- Proven ability to build responsive, intuitive user interfaces and translate UI/UX mockups into production‑ready experiences.
- Strong hands‑on proficiency with Python for scripting, automation, data processing, and backend services.
- Demonstrated experience architecting and implementing microservices and event‑driven systems using messaging platforms such as Kafka or RabbitMQ.
- Expertise developing and maintaining RESTful APIs, backend services, and database schemas across relational (SQL Server, PostgreSQL) and NoSQL (MongoDB, Elasticsearch) platforms.
- Strong SQL development skills, including query optimization and performance tuning.
- Hands‑on experience deploying and operating containerized microservices on AWS and/or Azure, applying cloud‑native patterns and infrastructure‑as‑code.
- Working knowledge of modern security frameworks and standards such as OAuth 2.0, OpenID Connect, and JWT.
- Proven ability to proactively detect and remediate security vulnerabilities across application code and infrastructure within established SLAs.
- Experience with modern testing frameworks (Jest, Mocha, Chai) and a commitment to test‑driven development, including unit and integration testing.
- Ability to enforce engineering best practices through peer code reviews, architectural standards, and raising the bar on code quality.
- Proven ability to troubleshoot complex, cross‑stack production issues and drive root‑cause analysis to resolution.
- Hands‑on experience with Agile methodologies and DevOps culture across the software delivery lifecycle, including managing work and releases through Jira and Azure DevOps.
AI & Generative AI
- Practical experience integrating Large Language Models into applications via APIs (OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock).
- Familiarity with prompt engineering, Retrieval‑Augmented Generation (RAG), embeddings, and vector databases.
- Understanding of responsible AI practices, including data privacy, hallucination mitigation, evaluation, and guardrails.
Leadership & Soft Skills
- Proven ability to lead, mentor, and grow engineering teams, fostering technical excellence and continuous learning.
- Excellent written and verbal communication — articulates complex technical concepts clearly to technical and non‑technical audiences.
- Active listener who engages effectively with designers, architects, product managers, and end users to understand needs and drive alignment.
- Strategic thinker who balances short‑term delivery pressure with long‑term technical investment and debt management.
- Ownership mindset — accountable for outcomes, proactive in driving initiatives forward.
- Conflict‑resolution and negotiation skills to align diverse perspectives and drive consensus on technical direction.
- Adaptability and resilience in fast‑paced environments with shifting priorities.
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