Top Software Engineer Jobs in Caloocan

Build and operate cloud-native, event-driven microservices and REST APIs across AWS or Azure. Own features from design through production, implement automated testing, review AI-generated code, contribute to engineering standards, and participate in on-call rotations. The role requires backend production experience with Java or C#, database experience, CI/CD and containerization skills, observability knowledge, and hands-on use of AI coding tools.

Full-stack engineer who collaborates with global teams to design, build, and maintain web applications. Work involves React/TypeScript frontends, Node.js/Python backends, REST APIs, SQL/NoSQL databases, troubleshooting, performance improvements, and participating in code reviews and team planning.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Design and build the on-prem software stack for ModelVault appliances: containerized inference engines, model integration (LLMs/vision), deployment tooling, CLIs/GUI/APIs, OS and GPU setup, remote updates, telemetry, and collaborate with customers and founding team to iterate and scale the engineering org.

Develops and maintains scalable automated testing frameworks for web, API, database, mobile, and integrated banking applications. Designs functional, integration, contract, regression, and end-to-end tests; integrates automation into CI/CD pipelines; investigates failures and production defects; and improves test reliability, coverage, observability, and execution speed. Collaborates with engineering, product, DevOps, and support teams to define quality strategies, identify risks, improve testability, and prevent defects.

Build and ship native Android features in Kotlin for an AI-enabled neobank app. Design clean user flows for financial services, integrate backend APIs, improve performance and stability, use analytics and on-device ML (TensorFlow Lite) where beneficial, and collaborate with product and design.

Maintain and improve the reliability of an IoT and automotive software platform. Diagnose escalated issues, monitor performance with APM tools, coordinate critical incident resolution, perform root-cause analysis, and implement long-term fixes. Collaborate with development, product, DevOps, and support teams; contribute to monitoring, documentation, post-incident reviews, and continuous improvement. Mentor engineers and use full-stack development, SQL, Azure, and database troubleshooting skills to resolve complex software problems.

Build and deploy production software powered by AI, LLMs, agentic architectures, and intelligent automation. Develop scalable services, APIs, workflows, copilots, RAG systems, and decision-support platforms using React, Node.js, TypeScript, and Python. Operationalize statistical and AI models, evaluate foundation models, optimize performance and cost, monitor production systems, and collaborate with technical and business teams to deliver maintainable solutions.

Develops, designs, codes, tests, debugs, and supports software applications, primarily using Java and related web technologies. Builds scalable microservices and APIs, collaborates with architects and Agile teams, manages engineering risks, supports production issues, and contributes to roadmaps, estimates, documentation, and development standards. The role also coordinates with business and product stakeholders to deliver reliable software solutions.

Develops and maintains full-stack applications, APIs, databases, and services for PLUK systems. Responsibilities include designing client- and server-side architecture, building responsive front-end components, testing and debugging software, remediating vulnerabilities, deploying applications, and collaborating with business, architecture, and DevOps teams. The role also supports compliance requirements and ongoing technology modernization.

Develop and maintain scalable software applications using C# and .NET, AWS services, SQL databases, and event-driven architectures. Responsibilities include application design, coding, performance optimization, testing, debugging, CI/CD, automation, deployment support, customer escalation resolution, and cross-functional collaboration. The role also requires protecting patient health information in compliance with HIPAA and supporting secure, maintainable development processes.

Develop small to medium automation applications, debug and test code, support senior developers with documentation and software testing, participate in technical discussions, and learn new technologies. The intern will work with web development, databases, software development life cycle processes, and programming fundamentals while contributing to the Robot and AI team.

Build and own production backend services using Django and Django REST Framework for payments, card lifecycle, spend controls, transactions, and partner webhooks. Lead technical design, improve architecture and test coverage, deploy safely, and maintain monitoring, incident response, and on-call operations. Collaborate with Product and commercial stakeholders, review code, mentor engineers, and develop AI-assisted engineering workflows and product features.

Design, develop, test, and maintain high-performance back-end systems and APIs for latency-sensitive trading environments. Collaborate with architects, principal engineers, traders, quants, and business stakeholders to deliver scalable, resilient distributed applications. Contribute across the SDLC, including architecture, performance optimization, automated testing, deployment, production support, observability, and continuous improvement. The role also involves validating technical ideas through proofs of concept and supporting cloud-native, event-driven systems.

Develop and enhance backend software using Go and Kafka while contributing to application security, Kubernetes architecture, Redis optimization, and PostgreSQL database design. Collaborate cross-functionally, participate in architectural decisions, mentor junior developers, and help build highly scalable and highly available systems.

Design, develop, test, and support scalable SaaS applications, APIs, front-end features, data models, and AI agents. Work across the software development lifecycle using cloud technologies, CI/CD, automated testing, and AI-assisted development tools. Collaborate with product, quality, and platform teams; participate in architecture discussions, troubleshoot production issues, review code, and mentor less experienced engineers.

Designs, develops, tests, debugs, analyzes, and maintains software applications. The role gathers technical requirements, writes high-quality Java code, resolves application issues, supports product releases, follows the software development lifecycle, collaborates with stakeholders, and applies AI to improve delivery productivity and decision-making.

Develop and maintain Java-based Shift-Left QA automation frameworks and tools for banking software. Build microservices and REST API solutions, debug complex issues, optimize performance, collaborate with developers and product stakeholders, and own framework components. The role operates in an agile DevOps and QA environment and may involve test automation, CI/CD, cloud technologies, databases, and performance testing.

Design and implement high-performance backend solutions using the Avaloq and Oracle stack. Build scalable accounting components, optimize SQL and PL/SQL performance, integrate systems, ensure correct multi-layer implementation, resolve root causes, and improve automation, testing, and engineering standards. Collaborate with business analysts to deliver requirements through production in SLA-driven, financial-services environments.

Design, develop, maintain, and support Java-based enterprise applications and services across the full software development lifecycle. Troubleshoot and resolve technical issues, participate in bug fixing and continuous improvement, collaborate with cross-functional teams, engage in customer technical discussions, and adopt new tools and best practices to deliver scalable loyalty solutions.

Design, build, operate, and improve complex Java backend systems using microservices, event-driven workflows, and REST APIs. Direct and rigorously verify AI coding agents, identify security and quality issues, and maintain production reliability through monitoring, alerting, and observability. Contribute to code reviews, mentoring, knowledge sharing, CI/CD delivery, trunk-based development, and on-call support.

Develop and maintain backend applications using .NET Core, Azure, microservices, SQL Server, Entity Framework Core, and AKS. Design APIs and business functionality, troubleshoot performance issues, fix bugs, manage deployments, and ensure code quality. Collaborate with cross-functional teams to deliver features and maintain scalable, responsive applications. The role also involves cloud workloads, CI/CD, asynchronous programming, database integration, and applying software design patterns.

Develop and maintain backend applications using .NET Core, Azure, microservices, SQL Server, and AKS. Design APIs and business functionality, collaborate with cross-functional teams, manage deployments, troubleshoot performance issues, fix bugs, and maintain code quality. The role requires experience with Entity Framework Core, asynchronous programming, CI/CD, Git, Azure cloud services, containers, and database integration. React, insurance, and reinsurance experience are beneficial.

Leads a 10-person engineering team building and deploying AI/ML solutions, including LLMs, prompt engineering, NLP workflows, ETL pipelines, and cloud-based microservices. Designs Python architectures, guides technical decisions, supports production systems, conducts code reviews, mentors engineers, and drives automation and cross-team initiatives. The role also involves scaling AI services, troubleshooting incidents, and applying secure cloud, CI/CD, monitoring, and model governance practices.