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Principal Software Engineer – Application Architect

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 1,001-5,000Since 2006H1B SponsorCompany Site LinkedIn

Location

California

Posted

13 days ago

Salary

$173K - $225K / year

Postgraduate Degree15 yrs expExperience acceptedEnglishAWSCloudGraph QLJavaRubyRuby ON Rails

Job Description

• Architect the overall vision and strategy for the analytics and data applications, ensuring alignment with business goals and scalability for future growth. • Lead the architecture and development of advanced analytics tools and applications, including sophisticated user & agentic interfaces for data visualization and interactive experiences. • Establish and enforce best practices for data transport, microservice orchestration, platform monitoring, and alerting across all data and analytics initiatives. • Provide technical leadership and mentorship to engineering teams, guiding architectural decisions and ensuring code quality and performance optimization. • Drive innovation by evaluating and implementing cutting-edge technologies in big data, cloud computing, AI/ML, and API development. • Ensure stringent data security and governance across all AWS regions and data assets. • Collaborate with cross-functional teams, including product, design, and engineering, to translate complex business requirements into robust technical solutions.

Job Requirements

15+ years of Software Engineering experience within an enterprise grade environment, with significant leadership and architectural roles.
Must have hands on application building using tech stack: Java, .Net, or Ruby (Rails)
Prefer to have experience in building AI Agents, NLP
Advanced degree in a quantitative discipline or equivalent practical experience.
Extensive experience in designing and developing API-driven services (REST, GraphQL), knowledge graphs and microservice architectures.
Strong understanding and application of AI/ML techniques for data classification, harmonization, and predictive analytics.
Demonstrated ability to mentor and guide engineering teams, providing technical leadership and strategic direction.
Highly skilled in analytical problem-solving, root cause analysis, and optimization of complex data processes across structured and unstructured datasets.
Exceptional communication and collaboration skills, with the ability to effectively communicate complex technical concepts to diverse audiences.