Senior Solution Engineer (with Python OR Java + Snowflake-mandatory)_BGC_Hybrid_up to 200k
Senior Solution Engineer designing, building, and operating production-grade data pipelines and AI-enabled solutions on AWS and Snowflake using Python or Java, with CI/CD and strong engineering practices. Hybrid role in BGC, Taguig (3 days in office), salary up to 200k/month based on level.
- Compensation
- ₱200K / mo
- Location
- Taguig, Metro Manila, Philippines
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, AI/ML, or related technical discipline
- 7+ years of hands-on experience in software, solution, or data engineering with production-grade systems in enterprise environments
- Demonstrated ability to build and operate data products, cloud services, or AI-enabled solutions with measurable business outcomes
- Deep hands-on AWS experience: compute, storage, networking, IAM, security, orchestration, monitoring, serverless/event-driven architectures
- Deep hands-on Snowflake experience: data modelling, SQL performance tuning, pipeline integration, access control, cost/performance optimisation, data sharing, governance
- Strong proficiency in Python and/or Java with solid understanding of software design principles, APIs, automated testing, packaging, dependency management
- Strong familiarity with SDLC, Git-based workflows, CI/CD, infrastructure-as-code, automated testing, DevOps practices, and production support
- Demonstrated habit of using AI-assisted engineering tools such as GitHub Copilot, Claude, or Cursor in everyday development
- Familiarity with harness engineering or similar AI-assisted development concepts (prompt structuring, evaluation loops, automated checks)
- Strong hands-on engineering mindset focused on code quality, maintainability, and team collaboration
- Ability to translate ambiguous business problems into technical scopes, iterative delivery plans, and measurable success criteria
Nice to have
- AWS certification: Solutions Architect Associate, Data Engineer Associate, or Machine Learning Engineer Associate
- SnowPro Core Certification or advanced Snowflake certifications
- Experience with AWS AI services including Amazon Bedrock, agent-based AI patterns, RAG, model evaluation, guardrails, and responsible AI
- Background in the financial industry with understanding of financial markets, data sensitivity, regulatory expectations, and enterprise risk controls
Full description
We are hiring for Senior Solution Engineer (with Python OR Java + snowflake) in BGC, Taguig City.
This is a Hybrid work setup with 3 days RTO -Mon and Fri as default + 1 day of your choice (Midshift) and 2 days WFH. Salary is up to 200k based on level.
Requirements:
- 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 – Associate, AWS Certified Data Engineer – Associate, or AWS Certified Machine Learning Engineer – Associate.**
- Deep hands-on Snowflake experience is required, including data modelling, SQL performance tuning, pipeline integration, access control, cost/performance optimisation, data sharing, and platform governance. SnowPro® Core Certification or advanced Snowflake certifications are a plus. Strong proficiency in Python and/or 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.
- Familiarity with harness engineering or similar AI-assisted development concepts, including structuring prompts, evaluation loops, reusable development workflows, automated checks, and feedback mechanisms to improve reliability, repeatability, and engineering quality.
- Strong hands-on engineering mindset, with a focus on code quality, sound design decisions, maintainability, and effective collaboration in team-based environments.
- Strong familiarity with the software development lifecycle, Git-based workflows, CI/CD, infrastructure-as-code concepts, automated testing, DevOps practices, and production support.