Senior Solution Engineer (Java)

blaseek; Taguig; On-site; PHP 1,800,000 - 3,200,000; Full time

Job summary

blaseek is seeking a hands-on Senior Solution Engineer (Java) to design, build, and operate cloud-native data and AI solutions in a production environment.

The role requires strong software engineering background, deep AWS/Snowflake experience, and a track record of end-to-end ownership across architecture, implementation, deployment, and operations.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related field.
• 7+ years of experience in Software Engineering, Solution Engineering, or Data Engineering within enterprise environments.
• Strong hands-on experience with Java, AWS, and Snowflake.
• Experience building production-grade cloud, data, or AI-enabled solutions with end-to-end ownership.
• Solid understanding of software architecture, REST APIs, data modeling, Git, CI/CD, Infrastructure as Code (IaC), DevOps, automated testing, and production support.
• Experience with AWS AI services (Bedrock), Retrieval-Augmented Generation (RAG), AI agents, or responsible AI practices is an advantage.
• Hands-on experience with AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or similar.
• AWS certification, preferably AWS Certified Solutions Architect, is highly preferred.
• Experience in the financial services industry is an advantage.
• Excellent analytical, problem-solving, communication, and stakeholder management skills.

Responsibilities

• Design, develop, deploy, and support scalable cloud-native software and data solutions.
• Build secure, reliable, and high-performing data pipelines and data products using AWS and Snowflake.
• Design and optimize Snowflake data models, schemas, and datasets to ensure performance, governance, and data quality.
• Develop maintainable Java applications using best practices in clean code, automated testing, CI/CD, security, and observability.
• Build cloud-native integrations and automation using AWS services, including compute, storage, networking, IAM, monitoring, serverless, and event-driven architectures.
• Collaborate with business and technical stakeholders to translate requirements into scalable technical solutions.
• Use AI-assisted development tools to improve coding, testing, documentation, debugging, and delivery while maintaining engineering quality.
• Support production operations through deployments, troubleshooting, performance tuning, root cause analysis, code reviews, and continuous improvement.

Skills

Java

AWS

Snowflake

REST APIs

CI/CD

Git

IaC

DevOps

Data Modeling

Cloud-Native Architecture

AI-Assisted Dev Tools

Education

Bachelor's or Master's degree in CS/SE/Data Science/AI/ML

Tools

AWS

Snowflake

Job description

We are seeking a hands-on Senior Solution Engineer (Java) to design, build, and operate cloud-native data and AI solutions. This role requires a strong software engineering background, deep expertise in AWS and Snowflake, and experience delivering production-grade enterprise applications. You will work across the full software development lifecycle, from architecture and implementation to deployment, operations, and continuous improvement, while leveraging AI-assisted engineering practices.

Key Responsibilities

• Design, develop, deploy, and support scalable cloud-native software and data solutions.
• Build secure, reliable, and high-performing data pipelines and data products using AWS and Snowflake.
• Design and optimize Snowflake data models, schemas, and datasets to ensure performance, governance, and data quality.
• Develop maintainable Java applications using best practices in clean code, automated testing, CI/CD, security, and observability.
• Build cloud-native integrations and automation using AWS services, including compute, storage, networking, IAM, monitoring, serverless, and event-driven architectures.
• Collaborate with business and technical stakeholders to translate requirements into scalable technical solutions.
• Use AI-assisted development tools to improve coding, testing, documentation, debugging, and delivery while maintaining engineering quality.
• Support production operations through deployments, troubleshooting, performance tuning, root cause analysis, code reviews, and continuous improvement.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related field.
• At least 7 years of experience in Software Engineering, Solution Engineering, or Data Engineering within enterprise environments.
• Strong hands‑on experience with Java, AWS, and Snowflake.
• Experience building production‑grade cloud, data, or AI‑enabled solutions with end‑to‑end ownership.
• Solid understanding of software architecture, REST APIs, data modeling, Git, CI/CD, Infrastructure as Code (IaC), DevOps, automated testing, and production support.
• Experience with AWS AI services (such as Amazon Bedrock), Retrieval‑Augmented Generation (RAG), AI agents, or responsible AI practices is an advantage.
• Hands‑on experience with AI‑assisted development tools such as GitHub Copilot, Claude, Cursor, or similar.
• AWS certification, preferably AWS Certified Solutions Architect, is highly preferred.
• Experience in the financial services industry is an advantage.
• Excellent analytical, problem‑solving, communication, and stakeholder management skills.

Required Technical Skills

• Java
• AWS
• Snowflake
• REST APIs
• CI/CD
• Git
• Infrastructure as Code (IaC)
• DevOps
• Data Engineering & Data Modeling
• Cloud‑Native Architecture
• AI‑Assisted Development Tools (GitHub Copilot, Claude, Cursor)