Ruby & Data Engineering
Makati City, Metro Manila, Philippines
Octal Philippines Inc.
Octal Philippines offers IT consultancy, staffing, ERP, and software solutions to optimize business processes and drive innovation across industries.We are seeking a highly skilled and versatile Senior Software Engineer to join our team. This critical role is designed to replace a high-performing team member who currently bridges both application development and data engineering functions. You will lead and contribute to the design, development, and maintenance of both our Ruby-based applications and scalable data infrastructure, enabling robust, data-driven capabilities across the business.
This is a hands-on technical leadership role that demands full-stack backend experience with Ruby and strong proficiency in building and maintaining data pipelines, warehouses, and analytics solutions. You will work closely with engineering, data, product, and analytics teams to deliver high-quality software and data systems aligned with our organizational goals.
Software Engineering (Ruby Focus)
- Lead the development and maintenance of backend services and APIs using Ruby (e.g., Rails, Sinatra).
- Drive backend system design to support low-latency, high-throughput, and scalable applications.
- Collaborate with front-end developers and QA engineers to ship features and fix issues efficiently.
- Enforce coding standards and best practices across the development team.
- Participate in peer code reviews, design sessions, and sprint ceremonies.
- Contribute to CI/CD setup and deployment automation for software releases.
- Mentor junior engineers and guide technical decision-making across the backend domain.
Data Engineering
- Design and maintain 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).
- Collaborate with analysts and stakeholders to understand data requirements and deliver efficient data models.
- Optimize data storage and querying using relational and NoSQL solutions (e.g., PostgreSQL, Snowflake, Redis).
- Lead the effort in ensuring data integrity, accuracy, quality, and performance.
- Drive data governance, observability, and monitoring initiatives for pipelines and infrastructure.
Leadership & Team Development
- Lead by example, fostering a culture of accountability, technical excellence, and continuous improvement.
- Manage delivery timelines while mentoring and coaching junior team members.
- Support hiring efforts and participate in technical interviews to grow a high-performing engineering team.
- Proactively identify opportunities to improve team workflows, tools, and delivery velocity.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
- 7+ years of experience 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.
- Strong experience in designing and deploying RESTful APIs and event-driven services.
- Expertise in SQL and experience working with PostgreSQL, Snowflake, or similar.
- Hands-on experience with 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 environment
Preferred Qualifications:
- 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.
Core Competencies:
- Demonstrated ability to lead and deliver in a fast-paced, cross-functional environment.
- Excellent communication skills with the ability to articulate technical concepts to non-technical audiences.
- Passionate about mentoring, continuous learning, and innovation.
- Strong ownership mindset with a focus on system reliability, maintainability, and scalability.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow APIs Architecture AWS CI/CD Computer Science Data governance Data pipelines Data visualization dbt Docker ECS ELT Engineering ETL Golang Kafka Lambda NoSQL Pipelines PostgreSQL Python RDBMS Ruby Scrum Security Snowflake SQL
Perks/benefits: Career development
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