Associate Principal - System Management

Overview of Position

Key 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 tradeoffs to product, design, and executive stakeholders.

Required Knowledge, Skills

• 10 years of hands-on software development experience with deep expertise in modern Java fullstack 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.

AI / Generative AI - Good To Have

• 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.

Mandatory and Good-to-Have Skills

• Mandatory skills: AWS IaaS, Java, Java Microservices, Python, React.
• Good-to-have skills: Azure Cloud Architecture, PostgreSQL.

About LTM