Forward Integration Engineer

RED ALPHA CYBERSECURITY PTE. LTD.; Singapore; On-site; SGD 65,000 - 100,000; Full time

Job summary

RED ALPHA CYBERSECURITY PTE. LTD. is seeking a software engineer to turn a working product into a customer deployment by connecting APIs and data, debugging environments, and shipping reliable services.

You will build integrations, develop Python backend components, and help deploy solutions using Docker, CI/CD, and cloud services, while supporting Kubernetes and IaC as you grow.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• Comfort with Python, Git, the command line, HTTP/REST, JSON, and basic SQL.
• Working understanding of testing, debugging, logs, version control and moving software from a laptop to production.

Responsibilities

• Build and maintain integrations with customer APIs, databases, files, identity systems, and other enterprise services.
• Develop backend services and integration components in Python, including REST APIs, validation, authentication, retries, logging, and tests.
• Help deploy solutions using Docker, CI/CD, cloud services, and infrastructure configuration; support Kubernetes and IaC work as experience grows.
• Troubleshoot issues in real environments including DNS, firewalls, routing, VPNs, certificates, permissions, and service accounts.
• Work with customer data to ingest, validate, transform, and deliver reliable pipelines or data-backed features.
• Support AI-enabled integrations such as RAG, MCP-connected workflows, and evaluation/monitoring where relevant.
• Document runbooks, architecture notes, API docs, handoff notes, escalation summaries, and status updates.
• Join customer calls, demos, implementation sessions, and incident discussions.

Skills

Python

REST APIs

Docker

Git

CI/CD

SQL

Education

Bachelor's degree in Computer Science or related field

Tools

Docker

Kubernetes

Cloud services

Job description

The role in one sentence

You will turn a working product into a working customer deployment - connecting APIs and data, debugging environments, shipping reliable services, and keeping the customer confident while you do it.

What you will do

• Build and maintain integrations with customer APIs, databases, files, identity systems, and other enterprise services.
• Develop backend services and integration components in Python, including REST APIs, validation, authentication, retries, logging, and tests.
• Help deploy solutions using Docker, CI/CD, cloud services, and infrastructure configuration; support Kubernetes and IaC work as your experience grows.
• Troubleshoot the problems that only appear in real environments - DNS, firewalls, routing, VPNs, certificates, permissions, service accounts, and unclear system ownership.
• Work with customer data: ingest it, validate it, transform it, and help deliver reliable pipelines or data-backed product features.
• Support AI-enabled integrations such as RAG, tool use, MCP-connected workflows, and evaluation/monitoring where relevant.
• Write the things future-you will be grateful for: runbooks, architecture notes, API docs, handoff notes, escalation summaries, and clear status updates.
• Join customer calls, demos, implementation sessions, and incident discussions. You will not be hidden behind a ticket queue.

What we are looking for

• 1-3 years of professional experience in software engineering, integrations, backend engineering, data engineering, cloud/infrastructure, or a similar technical role.
• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• Comfort with Python, Git, the command line, HTTP/REST, JSON, and basic SQL.
• Working understanding of testing, debugging, logs, version control, and how software moves from a laptop into an environment used by other people.
• Strong problem-solving habits: reproduce the issue, narrow the cause, document what you know, and elevate with useful evidence.
• Clear communication with technical and non-technical stakeholders. You can explain what is happening without hiding behind jargon.
• A customer mindset: curious, calm under pressure, comfortable asking good questions, and willing to own a problem through to a usable outcome.

Useful, but not required

• FastAPI or Flask; Docker; a major cloud platform; Terraform; Kubernetes; Airflow, Dagster, dbt, or similar tooling.
• Experience with OAuth/OIDC, RBAC, service accounts, enterprise networking, data quality, warehouses/lakes, or observability.
• Exposure to LLM applications, vector databases, RAG, MCP, prompt/evaluation workflows, or AI-assisted software development.

What good looks like after 12 months

• You can take a defined customer integration from requirements to deployment with limited supervision.
• You are trusted to debug issues in customer environments and communicate progress clearly while the problem is still unfolding.
• Your code is tested, supportable, and documented - and another engineer can operate what you ship.
• Customers see you as a capable technical partner, not simply the person who implements tickets.