Senior Solution Engineer

Straive; Philippines; On-site; PHP 1,500,000 - 2,500,000; Full time

Job summary

Straive in the Philippines seeks an experienced software/data engineer to design, build, and operate production-grade data solutions end-to-end. You will work with AWS and Snowflake to ingest, transform, and deliver scalable data products for enterprise use.

You will own deployments, CI/CD, and production operations, partnering with stakeholders to enable advanced analytics and AI-enabled use cases while applying best practices in secure, observable software engineering.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, AI/ML, or related technical discipline.
• 7+ years of hands-on software engineering, solution engineering, or data engineering experience delivering production-grade systems.
• Experience building and operating data products, cloud services, or AI-enabled solutions with measurable outcomes.
• Deep hands-on AWS experience including core services, security, orchestration, monitoring, and serverless architectures; AWS cert preferred.
• Strong proficiency in Java and solid understanding of software design, APIs, testing, and maintainability.

Responsibilities

• Design, build, and operate production-grade software and data solutions end-to-end, from problem definition to deployment and monitoring.
• Design and implement reliable, scalable data pipelines and data products using AWS and Snowflake.
• Model, curate, and optimise Snowflake datasets, schemas, and data structures for downstream consumers.
• Apply strong software engineering practices including clean code, automated testing, CI/CD, observability, and secure development.
• Partner with stakeholders to translate requirements into robust data solutions and enable advanced analytics and AI use cases.
• Use AI-assisted engineering as part of daily development to accelerate coding, testing, and documentation.
• Own deployment, release, and production operations including troubleshooting and performance tuning.

Skills

Java

Cloud services

Data engineering

Education

Bachelor's or Master's degree in Computer Science or related

Tools

Snowflake

AWS

CI/CD tooling

Job description

Responsibilities

• Design, build, and operate production-grade software and data solutions end-to-end, from problem definition and architecture through implementation, deployment, monitoring, and continuous improvement.
• 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.
• Use AI-assisted engineering as a standard part of daily development work to accelerate coding, refactoring, documentation, testing, debugging, and solution exploration while maintaining strong engineering judgement and quality standards.
• Build cloud-native integrations and automation on AWS, making effective use of services such as compute, storage, networking, security, orchestration, event-driven architectures, and managed AI services where appropriate.
• 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.

You will have the following qualifications:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence / Machine Learning, or a related technical discipline.
• 7+ 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.