Software Engineer

1 week ago

Pasig, National Capital Region, Philippines Enshored Inc. Full time
The Opportunity

We are Enshored, one of the Inc 5000 fastest-growing companies in the US. We support disruptive startups in the U.S. and Europe, helping them scale through creative innovation.

We are expanding our Data Science team and looking for a Software Engineer with a passion for data infrastructure. This is a unique opportunity to sit at the intersection of Software Engineering, Cloud Infrastructure, and Machine Learning. You won't just be writing code; you will be the bridge between our Data Scientists and production reality, building the APIs and pipelines that power our AI capabilities.

The Role

Data Science moves fast, and our team needs an engineer who is agile, curious, and collaborative. Your goal is to translate complex data requirements into robust, production-grade software.

You will work closely with Data Scientists and BI Analysts to operationalize machine learning models. We value "Consciousness Thinking"— a mindset focused on critical thinking, continuous learning, and high emotional intelligence to navigate complex technical challenges.

Key Responsibilities
  • ML Ops & Platform Dev: Build and maintain the backend services (Python) that support our Machine Learning models.
  • API Design: Develop, test, and document robust REST APIs allowing external applications to consume our data insights and model predictions.
  • Cloud Infrastructure (IaC): specific resources on AWS (ECS, Lambda, SageMaker) using Infrastructure as Code principles (Terraform/CDK/CloudFormation).
  • Data Pipelines: Optimize data storage and retrieval using Apache Airflow, PostgreSQL, and assist in managing data flow between services.
  • CI/CD Implementation: Automate testing and deployment of models and applications using Docker and AWS ECR.
  • Team Collaboration: Partner with Data Scientists to ensure the solutions and models' requirements are feasible and scalable in a production environment.
Requirements

Must-Haves:

  • Experience: 3+ years of professional experience in Software Engineering, Backend Development, or Data Engineering.
  • Language: Strong proficiency in Python (writing clean, maintainable, idiomatic code).
  • AWS Cloud Native: Hands-on experience with AWS core services, specifically Lambda, ECS, S3, and API Gateway.
  • Database Skills: Strong SQL knowledge, specifically with PostgreSQL and Clickhouse.
  • DevOps familiarity: Experience with Docker/Containerization and CI/CD pipelines.
  • Communication: Ability to explain technical constraints to non-technical stakeholders and collaborate well with Data Scientists and the CTO.

Nice-to-Haves:

  • Exposure to AWS SageMaker or Bedrock.
  • Understanding of basic AWS networking (VPC, Security Groups) creates a strong advantage.
  • Experience with NoSQL (DynamoDB/MongoDB) or Caching (Redis/Valkey).
  • Previous experience working in a BPO or high-growth startup environment.
Who You Are
  • A Builder: You enjoy taking a rough prototype from a Data Scientist and turning it into a stable API.
  • A Learner: You are excited about Generative AI, Context Engineering, and eager to test new technologies.
  • A Team Player: You understand that great software is built through collaboration, among professionals with distinct and diverse expertise, not in silos.

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