Senior AWS Fullstack Engineer

WeSupport Incorporated

Makati

On-site

PHP 1,674,000 - 2,344,000

Full time

14 days+

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Job summary

WeSupport Incorporated in Manila is seeking an experienced DevOps/Software Engineer to help build and scale AI-enabled development tools on AWS. You will own features end-to-end within an empowered, cross-functional team, leveraging AWS Lambda, DynamoDB, EventBridge and CDK in TypeScript, and shaping CI/CD pipelines and containerised workloads.

The role emphasizes observability, SRE practices, and security, with on-call readiness and runbooks.

Qualifications

  • Own laptop/desktop in excellent condition and a high-quality broadband connection.
  • Availability for afternoon shift (3:00 PM – 12:00 AM PH time).
  • Deep knowledge of AWS Lambda, DynamoDB, EventBridge, SQS, AppSync with VPC/subnets/IAM/Route 53.
  • Extensive experience with AWS CDK IaC, including environment parameterisation and drift detection.
  • Experience designing CI/CD pipelines and containerised workloads (Docker, ECS/EKS, Lambda containers).
  • Practical experience with CloudWatch metrics/logs/traces, alerting, on-call, and runbooks.
  • Experience with AI-native development and automated PR review for compliance and code quality.
  • Bonus: TV/Media experience (MediaConvert, MediaLive) and agentic tooling.

Responsibilities

  • Feature Development: work with a cross-functional team to deliver new features using agile methods.
  • AI Tooling & Agentic Workflow: lead practical AI tool integration across the development lifecycle.
  • Infrastructure: work with AWS infrastructure defined in CDK (TypeScript) and evolve it as needed.
  • Observability: define and configure the observability stack with CloudWatch metrics, logs, and traces.
  • Site Reliability Engineering: drive SRE practices, runbooks, incident reviews, and automation.
  • CI/CD & Release Engineering: improve pipelines with automated deployment and release gates.
  • Security & Networking: oversee IAM, Cognito, Secrets Manager, VPC, and Route 53 design.

Skills

AWS Mastery
AWS Services Stack
IaC with AWS CDK
CI/CD Pipelines
Containers & Serverless
Observability & SRE
AI Tooling
Media Tools Bonus

Tools

GitHub Actions
CodePipeline
Docker
ECS/EKS
Lambda container images
CDK (TypeScript)
CloudWatch
OpenSearch
PostgreSQL (RDS)

Job description

Qualifications
  • Reliable Setup: Your own laptop/desktop in excellent condition and a high-quality broadband connection.
  • Schedule: Availability for afternoon shift (3:00 PM – 12:00 AM PH time).
  • AWS Mastery: Deep knowledge of Lambda (NodeJS/TypeScript), DynamoDB, EventBridge, SQS, and AppSync, plus the networking primitives (VPC, subnets, IAM, Route 53) that hold them together.
  • IaC: Extensive experience with Infrastructure-as-Code (AWS CDK), including module design, environment parameterisation, and drift detection.
  • CI/CD & Containers: Hands-on experience designing CI/CD pipelines (GitHub Actions, CodePipeline, or similar) and working with containerised workloads (Docker, ECS/EKS, or Lambda container images).
  • Observability & SRE: Practical experience with CloudWatch metrics/logs/traces, alerting, on-call practices, and runbook authoring.
  • AI Proficiency: Experience with AI-native development and automated PR review phases for compliance and code quality.
  • Bonus: Experience in TV/Media (MediaConvert, MediaLive). Building agentic tooling, semantic search pipelines, MCP servers etc.
Job Description
  • Feature Development: work as part of an empowered, cross-functional product team to deliver new features using agile methodologies. Consult with stakeholders, take ownership of issues and participate in ceremonies. Take responsibility for the successful deployment of your features into production.
  • AI Tooling & Agentic Workflow: Lead the practical implementation of AI tools within the development lifecycle. This includes using an Agentic Approach to share specs with coding agents, inviting criticism, and refining AI-generated source code and documentation. Develop and deploy agents — and supporting infrastructure — to accelerate the software development lifecycle.
  • Infrastructure: Work with the existing AWS infrastructure defined in CDK (TypeScript), developing a deep understanding of it and implementing amendments as needs evolve. Contribute to CI/CD pipelines, deployment strategy (blue/green, canary), and environment promotion. Support the health of Lambda, DynamoDB, OpenSearch and PostgreSQL (RDS) etc.
  • Observability: Define and configure the observability stack (CloudWatch metrics, logs, traces, alarms, AI-powered anomaly detection) so problems are detected before they are reported.
  • Site Reliability Engineering: Drive SRE practice — error budgets, runbooks, post-incident reviews — and ensure production systems are reliable, scalable, and efficient through automation and AI monitoring. Act on tickets received from second line support, develop tooling to empower second line to handle common classes of failure. Triage issues, perform root cause analysis, implement fixes and manage them through to production.
  • CI/CD & Release Engineering: Understand and continuously improve the build, test, and deployment pipelines. Automate the path from commit to production, including release gates, rollback strategies, and pipeline observability.
  • Security & Networking: Oversee least-privilege IAM, Cognito, and Secrets Manager configurations alongside VPC, subnet, and Route 53 design.
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