Pearl Talent is looking for a Backend Engineer to design, build, and scale the server-side systems and data infrastructure that power modern applications. You will work across diverse industries including PropTech, AI platforms, SaaS products, and data-intensive startups. This is often a foundational hire where you'll have true ownership in shaping backend architecture, working directly with technical leadership and cross-functional teams to build systems from the ground up.
What You'll Do
- Design and implement scalable backend architecture supporting high-traffic applications.
- Set up and manage cloud infrastructure including VPCs, IAM, security groups, and networking (AWS preferred, GCP/Azure).
- Implement Infrastructure as Code (IaC) using Terraform, Pulumi, or CloudFormation.
- Define backend architecture standards, API design patterns, and system integration strategies.
- Develop scalable server-side applications using Node.js, TypeScript, Python, or Golang.
- Build robust RESTful APIs and GraphQL endpoints with proper error handling and documentation.
- Build and scale ETL/ELT pipelines ingesting large data streams from diverse sources (REST, XML, EDI APIs).
- Design resilient, idempotent data loaders that evolve with external data source changes.
- Manage search infrastructure including Elasticsearch or OpenSearch clusters for product discovery.
- Implement vector databases (Pinecone, Weaviate, Qdrant) supporting AI/ML features.
- Support AI integrations through embeddings, RAG (Retrieval-Augmented Generation), and LLM frameworks.
- Implement CI/CD pipelines automating testing, building, and deployment processes.
- Establish automated testing frameworks (unit, integration, end-to-end) ensuring code quality.
- Monitor system performance using DataDog, Grafana, Prometheus, or CloudWatch.
What We're Looking For
- 1-3+ years designing and building scalable backend systems and server-side applications.
- Strong proficiency in Node.js, TypeScript, Python, or Golang.
- Hands-on experience with AWS (preferred), GCP, or Azure including infrastructure setup.
- Experience with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases.
- Proven experience building RESTful APIs with proper architecture and documentation.
- Experience building data integration pipelines and handling diverse data sources.
- Familiarity with Terraform, Pulumi, CloudFormation, or similar IaC tools.
- Strong understanding of distributed systems, scalability patterns, and architecture principles.
- Excellent debugging, troubleshooting, and analytical skills.
- Commitment to clean code, testing, and engineering best practices.
- Strong written and verbal English with ability to explain technical concepts clearly.
- Experience working cross-functionally with product, frontend, and data teams.
Nice to Have
- 5+ years of backend engineering experience including ETL/ELT pipeline development.
- Experience building systems from scratch as foundational engineering hire.
- Hands-on experience with orchestration tools (Airflow, Dagster, Prefect).
- Knowledge of streaming platforms (Kafka, Kinesis, RabbitMQ).
- Experience with data warehousing (Snowflake, BigQuery, Redshift).
- Proficiency with search engines (Elasticsearch, OpenSearch, Algolia).
- Experience with vector databases (Pinecone, Weaviate, Qdrant) and embeddings.
- Knowledge of ML/AI fundamentals including feature stores and model ops.
- Familiarity with AI frameworks (LangChain, LlamaIndex) for RAG implementations.
- Experience with dbt (data build tool) for data transformation workflows.
- Understanding of PropTech, real estate technology, or property management systems.
- Experience with Next.js, Express.js, NestJS, or similar backend frameworks.
- Knowledge of GraphQL API design and implementation.
- Familiarity with message queues and event-driven architectures.
- Experience with containerization (Docker) and orchestration (Kubernetes).
Technical Stack
- Languages: Node.js, TypeScript, Python, Golang
- Cloud & Infrastructure: AWS (EC2, S3, Lambda, RDS, VPC), GCP, Azure, Terraform, Pulumi, CloudFormation, Docker, Kubernetes, ECS/EKS
- Databases: PostgreSQL, MySQL, MongoDB, DynamoDB, Redis, Memcached
- APIs & Services: RESTful API, GraphQL, Postman, Express.js, NestJS, FastAPI, Next.js API routes
- Data & Search: Apache Airflow, Dagster, Prefect, Apache Kafka, AWS Kinesis, RabbitMQ, Snowflake, Google BigQuery, AWS Redshift, Elasticsearch, OpenSearch, Algolia, Pinecone, Weaviate, Qdrant, Milvus
- AI/ML: LangChain, LlamaIndex, dbt
- Monitoring & CI/CD: DataDog, Grafana, Prometheus, CloudWatch, GitHub Actions, CircleCI, Jenkins, GitLab CI
- Testing: Jest, Pytest, Mocha
- Messaging: SQS, SNS
- Version Control: Git, GitHub, GitLab
Benefits & Compensation
- Competitive Salary: Based on experience and skills.
- Remote Work: Fully remote — work from anywhere.
- Generous PTO: In accordance with company policy.
- Direct Mentorship: Access to global industry leaders.
- Learning & Development: Continuous growth resources.
- Global Networking: Work with international teams.
- Health Coverage (Philippines only): HMO after 3 months (full-time).
Work Mode
This is a fully remote position open to candidates in the Philippines, LATAM, and other remote regions with excellent English communication skills.
Pearl Talent is an equal opportunity employer.





