Senior Software Engineer (Java, SQL, AWS)

We are looking for a Senior Software Engineer to design and implement software solutions that support business operations. This role involves developing in-house applications and integrating third-party platforms, including Software-as-a-Service (SaaS) solutions.

The successful candidate will be involved across the full development lifecycle, from supporting business analysis through deployment and production support.

Job Details

Location: BGC, Taguig City

Work Setup: Hybrid

Schedule: Midshift

Employment Type: Full-time

Key Responsibilities

Design and implement secure, high-performing, and cost-efficient software solutions

Prepare and review technical specifications for junior team members and external developers

Collaborate with business stakeholders to define project scope, objectives, and technical feasibility

Deliver projects on time, within scope, and within budget

Design, develop, and implement large-scale software solutions in collaboration with cross-functional teams

Create and maintain clear and comprehensive technical documentation

Manage priorities effectively and provide regular progress updates to the project team

Build and maintain strong working relationships with internal stakeholders

Contribute ideas and recommendations to improve and evolve the organization's application platform

Minimum Qualifications

Bachelor's or Master's degree in Computer Science or a related scientific or quantitative field

At least 7 years of experience in software engineering

Strong experience in Java development

Hands-on experience with AWS services and cloud infrastructure

Proven experience working with relational databases and SQL

Experience collaborating with business users and developers to solve business challenges

Strong understanding of cloud computing concepts and practices

Experience delivering enterprise-level software solutions

Background in the financial industry is an advantage

Preferred Skills

Experience in any of the following areas is a plus:

Application and data integration tools such as AWS Glue, Apache Airflow, or Control-M

Serverless architecture

Microservices architecture and RESTful APIs

CI/CD pipelines and DevOps practices

Messaging and streaming technologies such as Kafka or Amazon Kinesis

AI-assisted development tools such as Cursor, GitHub Copilot, or Amazon Q

Data warehousing platforms such as Snowflake

Working with pre-trained AI models to enhance software functionality