Total 4 software engineer job vacancies in The Philippines

Key Responsibilities

• Develop, enhance, and maintain key features across a SaaS platform using React, TypeScript, and Node.js.
• Build, document, and maintain RESTful APIs that support frontend and product functionality.
• Work closely with product, design, and engineering teams to shape and deliver user-facing features.
• Write high-quality, scalable, maintainable, and testable code.
• Participate in code reviews, technical discussions, and architecture planning.
• Contribute to DevOps practices, CI/CD workflows, and infrastructure-related decisions.
• Take ownership of technical delivery and support the adoption of strong engineering standards as the team grows.
• Be hands-on across the full stack initially, with the opportunity to gradually move into a technical leadership role.
• Support future team expansion by providing technical guidance, mentoring engineers, and improving development processes.
• Work effectively in a fast-moving, iterative environment where ownership, pragmatism, and adaptability are important.

Requirements

• Proven experience in software engineering or full-stack development.
• Strong hands-on experience with React and TypeScript.
• Solid backend development experience using Node.js.
• Good understanding of RESTful API design and development principles.
• Familiarity with relational databases, ideally PostgreSQL.
• Experience using Git and working with CI/CD pipelines.
• Strong communication skills and a collaborative working style.
• Prior experience mentoring engineers, leading a small technical team, or owning technical delivery would be advantageous.
• Comfortable remaining hands-on while gradually taking on more technical leadership responsibilities as the engineering team scales.
• Prior experience in a startup, scale-up, early-stage product company, or entrepreneurial environment is strongly preferred.

Strong Plus:

• Experience with pair programming.
• Experience practicing test-driven development/TDD.
• Familiarity with Kanban or other lean, iterative delivery methods.
• Exposure to AWS, DevOps, testing frameworks, performance tuning, or infrastructure-related work.

Key Responsibilities

Cloud Infrastructure & Automation

• Design, deploy, and maintain cloud environments on AWS or GCP.
• Develop and manage infrastructure using Infrastructure-as-Code tools such as Terraform or similar technologies.
• Implement secure networking architectures, including VPCs, private connectivity, VPNs, peering, and network segmentation.
• Establish scalable multi-environment and multi-account cloud strategies.

Container Platform & Kubernetes

• Build and manage Kubernetes environments for production workloads.
• Configure cluster security, RBAC, autoscaling, workload isolation, and governance controls.
• Create standardized deployment frameworks for microservices, backend services, and AI-related workloads.
• Support both real-time and batch processing environments.

CI/CD & Release Automation

• Design and optimize CI/CD pipelines to streamline software delivery.
• Implement automated testing, deployment validation, and release management processes.
• Support deployment strategies such as blue-green, canary, and phased rollouts.
• Improve developer productivity through automation and deployment standardization.

Observability & Site Reliability

• Implement monitoring, logging, tracing, and alerting solutions.
• Define service reliability metrics, performance objectives, and operational standards.
• Support incident response processes, root-cause analysis, and continuous service improvement.
• Develop operational runbooks and support on-call readiness.

Security & DevSecOps

• Strengthen cloud security through identity and access management best practices.
• Manage secrets, certificates, and sensitive configuration securely.
• Implement vulnerability scanning, dependency analysis, and container security controls.
• Enforce security policies through automation and governance frameworks.
• Support audit readiness and compliance requirements.

AI/ML Platform Support

• Collaborate with data science and machine learning teams to operationalize AI solutions.
• Support model deployment, inference services, batch processing, and ML infrastructure.
• Monitor performance, availability, and resource consumption of AI workloads.
• Contribute to platform capabilities that improve AI product scalability.

Cost Optimization

• Monitor cloud spending and resource utilization.
• Implement tagging, budgeting, and optimization initiatives.
• Drive efficiency improvements without compromising performance or reliability.

Developer Experience

• Build self-service infrastructure capabilities and reusable engineering templates.
• Improve internal tooling and automation workflows.
• Maintain clear technical documentation and operational guidelines.
• Help create a smooth developer experience across engineering teams.

Requirements

Essential Skills & Experience

• Minimum 4 years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or related infrastructure roles.
• Strong hands-on experience with AWS or Google Cloud Platform.
• Proven expertise with Infrastructure-as-Code tools, preferably Terraform.
• Solid Kubernetes administration and containerization experience (Docker, Helm, Kustomize, etc.).
• Strong knowledge of CI/CD pipelines and modern software delivery practices.
• Good understanding of Linux systems, networking, and automation scripting using Python and/or Bash.
• Experience implementing monitoring, logging, and observability solutions.
• Strong understanding of cloud security principles, IAM, secrets management, and infrastructure hardening.
• Ability to collaborate effectively with software engineers, product stakeholders, and technical leadership.
• Strong documentation and communication skills.

Preferred Qualifications

• Experience with GitOps practices and tools such as ArgoCD or Flux.
• Exposure to policy-as-code and infrastructure testing frameworks.
• Familiarity with data engineering or machine learning ecosystems.
• Experience working with distributed systems, streaming platforms, or large-scale data processing technologies.
• Knowledge of enterprise compliance, governance, and security review processes.
• Exposure to reliability engineering practices such as resilience testing or disaster recovery exercises.

Responsibilities

• Serve as the primary technical point of contact for customers using Silicon Photnics (SiPh) test solutions.
• Provide post-sales technical support, including installation, ramp up, optimization, troubleshooting, and ongoing customer support.
• Work closely with customer engineering and test teams to ensure successful deployment and operation in R&D, NPI, and manufacturing environments.
• Support technical discussions, evaluations, demonstrations, and solution recommendations during the pre-sales process.
• Collaborate with internal sales, applications, service, and engineering teams to resolve technical issues and deliver customer success.

Requirements

• Bachelor's Degree in Electrical Engineering, Photonics, Physics, Semiconductor Engineering, or a related discipline.
• 3+ years of experience in Solutions Engineering, Applications Engineering, Test Engineering, or related semiconductor roles.
• Handson experience with Silicon Photonics (SiPh), optical test solutions, or photonics-based technologies.
• Strong understanding of optical and electrical testing, test automation, and system integration.
• Customer facing experience with strong troubleshooting, communication, and stakeholder management skills.
• Experience supporting semiconductor customers, including foundries, IDMs, or OSATs, is preferred

Key Responsibilities

Product Design & Development

• Lead the mechanical design and development of new products and product enhancements.
• Create innovative concepts and translate them into detailed mechanical designs.
• Develop modular hardware architectures and reusable design solutions.
• Design complex mechanical systems, assemblies, and mechanisms while balancing performance, cost, manufacturability, and reliability.
• Convert product and customer requirements into practical engineering solutions.

Engineering Analysis & Validation

• Perform engineering calculations and technical analyses on components and assemblies.
• Identify technical risks early and develop effective mitigation plans.
• Develop and execute testing strategies, validation plans, and prototype evaluations to verify design performance.
• Ensure quality and reliability considerations are incorporated throughout the design process.

Project Execution

• Manage mechanical development schedules and deliverables for assigned projects.
• Support project planning activities and ensure designs are delivered on time and within budget.
• Collaborate with stakeholders to define product specifications and technical requirements.
• Drive continuous improvement initiatives and contribute to value engineering efforts.

Manufacturing & Production Support

• Work closely with manufacturing teams to support product industrialization and production readiness.
• Provide expertise in manufacturing processes including injection molding, machining, sheet metal fabrication, assembly, and related production methods.
• Troubleshoot manufacturing and product performance issues and implement design improvements when required.

Cross-Functional Collaboration

• Partner with Electrical, Firmware, Software, Manufacturing, Quality, and Product teams throughout the product development cycle.
• Participate in design reviews and contribute to multidisciplinary problem-solving efforts.
• Mentor and provide technical guidance to junior engineers where appropriate.

Requirements

Education & Experience

• Bachelor's degree in Mechanical Engineering or a related discipline.
• 8+ years of experience in mechanical product design and development.
• Proven experience taking products from concept and prototype stages through to mass production.

Technical Expertise

• Strong understanding of mechanical engineering principles and product development methodologies.
• Experience designing complex mechanisms such as:Gear trainsClutchesCamsLinkagesMotion-control systems
• Knowledge of electro-mechanical systems, including:MotorsSensorsPower transmission components
• Hands-on experience designing:Plastic componentsSheet metal partsDie-cast componentsRubber componentsMechanical assembliesElectro-mechanical assemblies
• Proficiency with SolidWorks and/or other 3D CAD tools.
• Familiarity with simulation and analysis tools (FEA preferred).
• Strong understanding of GD&T (Geometric Dimensioning & Tolerancing).

Preferred Qualifications

• Knowledge of Design of Experiments (DOE) and Six Sigma methodologies.
• Experience with:DFMEA (Design Failure Mode & Effects Analysis)Design for Manufacturing (DFM)Design for Assembly (DFA)Structured product evaluation and decision-making methodologies