Java Software Architect ( must have a Java App Design experience)

SPi Global (now Straive); Taguig; On-site; PHP 2,000,000 - 3,000,000; Full time

Job summary

SPi Global (now Straive) is seeking a hands-on Senior Java Solution Architect to design, build, and operate robust cloud-native data and AI solutions in a global enterprise context.

The ideal candidate brings deep AWS and Snowflake expertise, strong Java skills, and experience delivering production-grade systems end-to-end, from architecture to deployment and monitoring.

Qualifications

• 8–10 years of hands-on software engineering, solution engineering, or data engineering delivering production-grade systems in enterprise environments.
• Deep hands-on AWS experience with core services, security, and scalable architectures; AWS certification preferred.
• Strong Java proficiency; solid understanding of design principles, APIs, testing, packaging, and maintainability.
• Experience building and operating data products, cloud services, or AI-enabled solutions with measurable outcomes and operational ownership.
• Ability to translate requirements into robust data solutions with stakeholders and guide delivery.

Responsibilities

• Design, build, and operate robust cloud-native data and AI solutions end-to-end.
• Own deployment, release, and production operations including troubleshooting and performance tuning.
• Model, curate, and optimize Snowflake datasets and schemas for enterprise standards.
• Partner with business and technical stakeholders to enable advanced analytics and AI use cases.
• Apply strong software engineering practices: clean code, modular design, automated testing, CI/CD, observability, and security.

Skills

Java

Cloud architecture

AWS

Snowflake

Data pipelines

CI/CD

Observability

Security

Clean code

Production-grade

Education

Bachelor's or Master's in CS/Software Engineering/Data Science/AI or related

Tools

GitHub Copilot

Claude

Cursor

Job description

Java Solution Architect

• We are looking for a hands-on senior solution consultant- who can design, build, and operate robust cloud native data and AI solutions.

• The ideal candidate combines strong software engineering fundamentals with deep practical experience in AWS and Snowflake.

• With proven track record in designing, building and operating production-grade software and data solutions end-to-end, from problem definition and architecture through implementation, deployment, monitoring, and continuous improvement.

• Able to design and implement reliable, scalable, secure, and well-governed data pipelines and data products using AWS and Snowflake across structured, semi-structured, and unstructured data sources.

• Model, curate, and optimise Snowflake datasets, schemas, and data structures in line with enterprise platform standards, ensuring performance, quality, consistency, and usability for downstream consumers.

• Apply strong software engineering practices, including clean code, modular design, automated testing, CI/CD, observability, secure development, and maintainable architecture.

• Partner with business and technical stakeholders to translate requirements into robust data solutions, prioritise delivery, and identify opportunities to enable advanced analytics and AI use cases.

• Own deployment, release, and production operations, including troubleshooting, root-cause analysis, performance tuning, incident resolution, peer code reviews, pair programming, and reuse of proven engineering patterns.

Skills and Experience Required:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence / Machine Learning, or a related technical discipline.

• 8-10 years of professional experience in a hands-on software engineering, solution engineering, or data engineering role, with a proven track record of delivering production-grade systems in enterprise environments.

• Demonstrated ability to build and operate data products, cloud services, or AI-enabled solutions with measurable business outcomes and clear operational ownership.

• Deep hands-on AWS experience is required, including practical knowledge of core services for compute, storage, networking, identity and access management, security, orchestration, monitoring, and serverless or event-driven architectures. AWS certification is preferred, ideally AWS Certified Solutions Architect

• Strong proficiency in Java, with solid understanding of software design principles, APIs, automated testing, packaging, dependency management, and production maintainability.

• Experience with AWS AI services, including Amazon Bedrock, and familiarity with agent-based AI solution patterns, retrieval-augmented generation, model evaluation, guardrails, and responsible AI practices is preferred.

• Demonstrated habit of using AI-assisted engineering tools such as GitHub Copilot, Claude, Cursor, or similar tools as part of everyday development to improve productivity, code quality, testing, documentation, and delivery speed.