Job Title: Automations & Professional Services Engineer
Location: Philippines, LATAM, Or India (Remote)
Employment Type: Full-Time
Working Hours: 9:00 AM – 5:00 PM EST
Compensation: $2500 to $3500
Our client is Resilience Service Provider (RSP) helping organizations protect themselves against ransomware, data breaches, and operational disruptions. We partner with MSPs, internal IT teams, and forward-thinking businesses through cybersecurity, automation, and IT modernization to deliver scalable, secure, and efficient solutions.
We’re looking for a technical, T-shaped Automations & Professional Services Engineer to help drive innovation in our automation and AI-driven professional services. This hybrid role blends client consulting with hands-on engineering—ideal for someone who thrives in low-code tools like Make.com or n8n, and is equally comfortable writing Python code, integrating LLMs, or managing cloud workflows.
Lead migrations to Microsoft 365 and Azure environments (SharePoint, Exchange Online, VMs).
Deploy and configure SaaS/PaaS solutions across client systems.
Integrate apps and services using Make.com, Power Automate, or custom connectors.
Perform stakeholder interviews to document requirements and translate them into solutions.
Secure and onboard new tools into resilient client architectures.
Build automation workflows using Make.com, n8n, or similar RPA platforms.
Develop Python scripts or function nodes to enhance workflow logic and integrations.
Engineer AI-powered automations using OpenAI, LangChain, and retrieval-augmented generation (RAG).
Design multi-agent systems for business use-cases using CrewAI, Autogen, or similar frameworks.
Monitor, version, and optimize automations for cost, performance, and resilience.
Write clear documentation, runbooks, and present solutions to technical and non-technical audiences.
3+ years experience in automation engineering, cloud infrastructure, or systems integration.
Proficiency in Python; experience with JSON, SQL, REST APIs, and token-based auth flows (OAuth2, JWT).
Experience designing workflows in platforms like Make.com, Zapier, Power Automate, or n8n.
Familiarity with Microsoft 365 (Teams, SharePoint, Exchange) and Azure cloud services.
Understanding of API pagination, retries, rate limits, and webhook handling.
T-shaped profile: deep technical knowledge with strong consulting and communication skills.
Hands-on exposure to AI tools, prompt engineering, and LLM-based automation.
Advanced skills in scenario design, error handling, versioning (Make/n8n).
Familiarity with Docker, Kubernetes, and self-hosting n8n environments.
Custom node or app development using JavaScript, TypeScript, or Python.
Integration experience with OpenAI, Anthropic, Llama-3, etc. via REST or LangChain.
Knowledge of RAG workflows with Weaviate, Pinecone, or Azure AI Search.
Experience orchestrating agents with LangGraph, CrewAI, or ReAct-like planners.
AI safety, token optimization, explainability, and responsible AI practices.
Deployed multi-agent systems on managed control planes (MCPs) with secure, multi-tenant observability.
Strong understanding of DevOps pipelines (GitHub Actions, IaC with Terraform or Pulumi).
Background in API development or integrations using Python/FastAPI.
Familiarity with cloud infra security (Key Vaults, RBAC, secret management).
Knowledge of reliability patterns (idempotency, circuit breakers, message queues).
Business & Process Consulting (Senior Candidates)
Business process mapping (BPMN, Six Sigma).
Change management and client training strategies.
Strong documentation habits aligned with SOC2/compliance best practices.
APM tools (DataDog, Prometheus, New Relic) for workflow and model monitoring.
Creation of custom metrics: cost per inference, failure vs. degradation alerts, LLM latency tracking.
Experience with performance tuning for AI & automation workflows.
Agile/Kanban delivery with 2-week sprints and iterative demos.
T-shaped learning mentality – quick learner across adjacent domains.
Root-cause troubleshooting via logs, stack traces, and observability tools.
Clear and confident communicator, able to explain tech to executives and end-users alike.
Experience in MSP, B2B SaaS, or consulting environments.
Understanding of compliance frameworks (SOC2, HIPAA, CMMC).
Background in AI ethics, bias mitigation, and human-in-the-loop system design.
#LI-NC1
Apply Now