📍 Job Overview

Job Title: Senior Software Engineer (Ruby on Rails, Data Infrastructure) - WFH
Company: Octal Philippines Inc.
Location: Philippines (Remote)
Job Type: Full-Time
Category: Full-Stack Developer, Data Engineer
Date Posted: June 27, 2025
Experience Level: 10+ years
Remote Status: Remote (Solely)

🚀 Role Summary

Lead and contribute to the design, development, and maintenance of both Ruby-based applications and scalable data infrastructure.
Collaborate with analysts and stakeholders to understand data requirements and deliver efficient data models.
Drive backend system design, RESTful APIs, and event-driven services to support low-latency, high-throughput, and scalable applications.
Manage data integration from multiple internal and external sources, ensuring data integrity, accuracy, quality, and performance.

📝 Enhancement Note: This role requires a strong full-stack developer with a deep understanding of both application development and data engineering. The ideal candidate will have experience working with Ruby, data pipelines, and cloud services, and be comfortable leading projects and mentoring junior engineers.

💻 Primary Responsibilities

Lead the development and maintenance of backend services and APIs using Ruby (e.g., Rails, Sinatra).
Design robust, scalable ETL/ELT pipelines using tools such as Airflow, dbt, and Python or Ruby-based scripts.
Manage data integration from multiple internal and external sources (e.g., APIs, Kafka, RDBMS).
Optimize data storage and querying using relational and NoSQL solutions (e.g., PostgreSQL, Snowflake, Redis).
Collaborate with front-end developers, QA engineers, analysts, and stakeholders to ship features, fix issues, and deliver efficient data models.
Enforce coding standards and best practices across the development team.
Participate in peer code reviews, design sessions, sprint ceremonies, and drive data governance, observability, and monitoring initiatives.
Mentor junior engineers and guide technical decision-making across the backend and data engineering domains.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Information Systems, or equivalent experience.

Experience:

7+ years in backend software development, preferably with Ruby (Rails, Sinatra).
5+ years in data engineering, with a strong track record of building data pipelines and managing data infrastructure.

Required Skills:

Proficiency in Ruby (Rails, Sinatra) and SQL (PostgreSQL, Snowflake).
Experience with data engineering tools such as Kafka, Airflow, dbt, Docker, and CI/CD platforms.
Working knowledge of AWS services (e.g., S3, RDS, ECS, Lambda) and cloud-native architectures.
Strong problem-solving skills and a passion for clean, maintainable, and testable code.
Experience working in Agile/Scrum environments.

Preferred Skills:

Experience with Golang or Python in production environments.
Familiarity with data security and compliance frameworks.
Knowledge of BI tools and data visualization platforms.
AWS Developer Certification or similar.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your full-stack development skills with Ruby, including backend services, APIs, and responsive design.
Showcase your data engineering expertise with data pipelines, ETL/ELT processes, and data warehousing projects.
Highlight your problem-solving skills and ability to optimize data storage and querying.

Technical Documentation:

Provide clear and concise code comments, documentation, and version control.
Explain your approach to data governance, observability, and monitoring.
Describe your experience with RESTful APIs, event-driven services, and cloud-native architectures.

📝 Enhancement Note: For this role, your portfolio should showcase your ability to lead and contribute to both application development and data engineering projects. Highlight your experience with Ruby, data pipelines, and cloud services, and demonstrate your problem-solving skills and ability to collaborate with stakeholders.

💵 Compensation & Benefits

Salary Range: PHP 1,200,000 - PHP 1,800,000 per year (based on experience and market research for senior-level full-stack developers and data engineers in the Philippines)

Benefits:

Competitive salary and benefits package.
Flexible work hours and remote work arrangement.
Opportunities for professional growth and development.

Working Hours: 40 hours per week, with flexible hours and maintenance windows as needed.

📝 Enhancement Note: The salary range for this role is based on market research for senior-level full-stack developers and data engineers in the Philippines. The benefits package is competitive and includes opportunities for professional growth and development.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, with a focus on software development and data engineering.

Company Size: Medium-sized company with a team of 50-250 employees, providing opportunities for collaboration and growth.

Founded: 2010, with a strong history in the technology industry.

Team Structure:

A dedicated team of full-stack developers, data engineers, and QA engineers.
Cross-functional collaboration with analysts, designers, and stakeholders.
A supportive and inclusive work environment that values diversity and innovation.

Development Methodology:

Agile/Scrum methodologies for software development.
Collaborative development processes, including code reviews, pair programming, and sprint planning.
Continuous integration and deployment (CI/CD) pipelines for automated testing and deployment.

Company Website: Octal Philippines Inc.

📝 Enhancement Note: Octal Philippines Inc. is a medium-sized technology company with a strong focus on software development and data engineering. The team is dedicated to collaboration, innovation, and supporting the growth of its employees.

📈 Career & Growth Analysis

Web Technology Career Level: Senior-level full-stack developer with a strong focus on data engineering. This role offers the opportunity to lead and contribute to both application development and data engineering projects, with a significant impact on the company's data-driven capabilities.

Reporting Structure: This role reports directly to the CTO and works closely with the development, data, and analytics teams.

Technical Impact: The ideal candidate will have a significant impact on the company's data infrastructure, enabling robust, data-driven capabilities across the business. They will also contribute to the design, development, and maintenance of Ruby-based applications, ensuring low-latency, high-throughput, and scalable solutions.

Growth Opportunities:

Lead and mentor junior engineers, driving technical decision-making across the backend and data engineering domains.
Contribute to the design and implementation of new data pipelines, warehouses, and analytics solutions.
Collaborate with stakeholders to understand data requirements and deliver efficient data models.
Participate in company-wide initiatives to improve data governance, observability, and monitoring.

📝 Enhancement Note: This role offers significant growth opportunities for senior-level full-stack developers and data engineers. The ideal candidate will have the chance to lead and contribute to both application development and data engineering projects, driving technical decision-making and collaborating with stakeholders to deliver efficient data models.

🌐 Work Environment

Office Type: Remote (Solely), with occasional team meetings and events as needed.

Office Location(s): Philippines (Remote)

Workspace Context:

A remote work environment with flexible hours and maintenance windows as needed.
Opportunities for collaboration with team members, analysts, and stakeholders.
A supportive and inclusive work culture that values diversity and innovation.

Work Schedule: 40 hours per week, with flexible hours and maintenance windows as needed.

📝 Enhancement Note: The work environment for this role is remote (solely), with a flexible work schedule and opportunities for collaboration with team members, analysts, and stakeholders. The company culture is supportive and inclusive, valuing diversity and innovation.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: A hands-on coding challenge or case study to evaluate your full-stack development and data engineering skills.
System Design Discussion: A conversation to discuss your approach to designing scalable data infrastructure and backend systems.
Cultural Fit Assessment: An interview to assess your cultural fit with the team and company values.
Final Evaluation: A discussion to evaluate your overall fit for the role and make a hiring decision.

Portfolio Review Tips:

Highlight your full-stack development and data engineering projects, demonstrating your ability to lead and contribute to both application development and data engineering initiatives.
Showcase your problem-solving skills and ability to optimize data storage and querying.
Explain your approach to data governance, observability, and monitoring.

Technical Challenge Preparation:

Brush up on your Ruby, SQL, and data engineering skills, focusing on tools such as Kafka, Airflow, dbt, Docker, and CI/CD platforms.
Familiarize yourself with cloud-native architectures and AWS services.
Prepare for system design discussions, focusing on scalable data infrastructure and backend systems.

ATS Keywords:

Programming Languages: Ruby, Python, SQL, Golang
Web Frameworks: Rails, Sinatra
Server Technologies: AWS (S3, RDS, ECS, Lambda), Docker, Kubernetes
Databases: PostgreSQL, Snowflake, Redis
Tools: Kafka, Airflow, dbt, CI/CD (Jenkins, CircleCI, etc.)
Methodologies: Agile, Scrum, ETL, ELT
Soft Skills: Problem-solving, collaboration, mentoring, leadership
Industry Terms: Data engineering, data pipelines, data warehousing, data governance, data observability, data monitoring

📝 Enhancement Note: The interview process for this role focuses on evaluating your full-stack development and data engineering skills, as well as your cultural fit with the team and company values. The technical challenge preparation should focus on brushing up your skills in Ruby, SQL, and data engineering tools, as well as preparing for system design discussions.

🛠 Technology Stack & Web Infrastructure

Frontend Technologies:

Not applicable for this role, as it is focused on backend development and data engineering.

Backend & Server Technologies:

Ruby (Rails, Sinatra)
SQL (PostgreSQL, Snowflake)
AWS (S3, RDS, ECS, Lambda)
Docker, Kubernetes
Kafka, Airflow, dbt
CI/CD (Jenkins, CircleCI, etc.)

Development & DevOps Tools:

Git, GitHub
JIRA, Confluence
Slack, Microsoft Teams
Zoom, Google Meet

📝 Enhancement Note: The technology stack for this role focuses on backend development and data engineering. The ideal candidate will have experience with Ruby, SQL, and data engineering tools such as Kafka, Airflow, and dbt. They should also be familiar with cloud-native architectures and AWS services.

👥 Team Culture & Values

Web Development Values:

Innovation: Embrace new technologies and approaches to drive continuous improvement.
Collaboration: Work closely with team members, analysts, and stakeholders to deliver efficient data models and scalable applications.
Quality: Prioritize code quality, maintainability, and testability to ensure robust and reliable solutions.
Performance: Optimize data storage, querying, and application performance to deliver low-latency, high-throughput solutions.

Collaboration Style:

Cross-functional Integration: Collaborate with analysts, designers, and stakeholders to understand data requirements and deliver efficient data models.
Code Review Culture: Participate in peer code reviews to ensure code quality and maintainability.
Knowledge Sharing: Share your expertise and experience with junior engineers to drive technical decision-making and support their growth.

📝 Enhancement Note: The web development values for this role focus on innovation, collaboration, quality, and performance. The collaboration style emphasizes cross-functional integration, code review culture, and knowledge sharing to support the growth of junior engineers and deliver efficient data models.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scalability: Design and implement scalable data infrastructure and backend systems to support low-latency, high-throughput applications.
Data Governance: Ensure data integrity, accuracy, quality, and performance by driving data governance, observability, and monitoring initiatives.
Emerging Technologies: Stay up-to-date with emerging technologies and approaches in data engineering and backend development.

Learning & Development Opportunities:

Technical Skill Development: Expand your expertise in data engineering, backend development, and cloud-native architectures.
Leadership Development: Mentor junior engineers and drive technical decision-making across the backend and data engineering domains.
Architecture Decision-Making: Contribute to the design and implementation of new data pipelines, warehouses, and analytics solutions.

📝 Enhancement Note: The technical challenges for this role focus on scalability, data governance, and emerging technologies. The learning and development opportunities include technical skill development, leadership development, and architecture decision-making.

💡 Interview Preparation

Technical Questions:

Backend Development: Prepare for questions about your experience with Ruby, RESTful APIs, and event-driven services.
Data Engineering: Brush up on your knowledge of data pipelines, ETL/ELT processes, and data warehousing.
System Design: Familiarize yourself with cloud-native architectures and AWS services, focusing on scalable data infrastructure and backend systems.

Company & Culture Questions:

Research the company's history, mission, and values.
Prepare questions about the team's structure, development methodology, and collaboration style.
Consider how your skills and experience align with the company's goals and values.

Portfolio Presentation Strategy:

Highlight your full-stack development and data engineering projects, demonstrating your ability to lead and contribute to both application development and data engineering initiatives.
Showcase your problem-solving skills and ability to optimize data storage and querying.
Explain your approach to data governance, observability, and monitoring.

📝 Enhancement Note: The interview preparation for this role focuses on brushing up your skills in backend development, data engineering, and system design. The company and culture questions should focus on understanding the company's history, mission, values, and team structure. The portfolio presentation strategy should highlight your full-stack development and data engineering projects, as well as your problem-solving skills and approach to data governance, observability, and monitoring.

📌 Application Steps

To apply for this Senior Software Engineer (Ruby on Rails, Data Infrastructure) - WFH position:

Customize Your Portfolio: Tailor your portfolio to highlight your full-stack development and data engineering projects, demonstrating your ability to lead and contribute to both application development and data engineering initiatives.
Optimize Your Resume: Highlight your relevant skills and experience, focusing on backend development, data engineering, and cloud-native architectures.
Prepare for Technical Challenges: Brush up on your Ruby, SQL, and data engineering skills, focusing on tools such as Kafka, Airflow, dbt, Docker, and CI/CD platforms. Familiarize yourself with cloud-native architectures and AWS services.
Research the Company: Understand the company's history, mission, values, and team structure. Prepare questions to ask during the interview process.
Submit Your Application: Follow the application link and submit your resume and portfolio.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Software Engr. (Ruby on Rails, Data infra) WFH