US_East | Data Engineer_L3

Expedite Talent Solutions

Bloomfield (NJ)

Hybrid

USD 100,000 - 130,000

Full time

14 days+

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Job summary

A leading technology staffing firm is seeking an Integration Engineer for their MANUS AI Platform in New Jersey. The role involves designing and building robust integrations between internal systems and MANUS AI, ensuring seamless automation. Candidates should have 3–5+ years of experience as a Software, Integration, or Backend Engineer, with strong skills in RESTful APIs and cloud platforms like AWS, GCP or Azure. A bachelor's degree in a related field is required, along with strong problem-solving skills.

Qualifications

  • 3–5+ years of experience as a Software Engineer, Integration Engineer, or Backend Engineer building production systems.
  • Experience with cloud platforms (AWS, GCP, or Azure) and related services.
  • Understanding of security best practices, including API security and compliance.

Responsibilities

  • Design and implement API driven integrations between MANUS AI and internal platforms.
  • Develop and maintain webhooks, event driven pipelines, and batch data flows.
  • Troubleshoot integration issues and perform root cause analysis.

Skills

RESTful APIs
webhooks
event driven architectures
Python
Node.js
Java
Go
AWS
GCP
Azure
CI/CD pipelines
Git
Terraform
CloudFormation
problem solving skills

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Datadog
Prometheus
Grafana

Job description

Overview

"Possible 3 Month CTH | No Fees | Do Not Re-Post| Confidential"

TMR ID: L4TLHF

Role: Integration Engineer – MANUS AI Platform

Work location: Bay Area

Location and Employment

[Remote / Hybrid /Offshore/ On site, e.g., SFO Bay Area, CA]

Employment Type: Full Time

________________________________________

About The Role

We are looking for Integration Engineers to design, build, and maintain robust integrations between our internal systems (e.g., CRM, HRIS, data platforms, internal tools) and MANUS AI. You will own end to end integration workflows, including API design, data mapping, security, monitoring, and documentation, ensuring seamless and scalable automation across the organization.

________________________________________

Key Responsibilities
  • Design and implement API driven integrations between MANUS AI and internal platforms (e.g., Salesforce, HubSpot, internal data warehouses, HR systems, ticketing tools).
  • Develop and maintain webhooks, event driven pipelines, and batch data flows to synchronize data between MANUS and downstream systems.
  • Define and document integration architecture, data models, error handling strategies, and retry mechanisms for reliability and observability.
  • Configure authentication, authorization, and secrets management (OAuth, API keys, SSO, environment variables) for secure access to MANUS and partner systems.
  • Collaborate with product, data, security, and operations teams to align integration requirements with business workflows and compliance needs.
  • Write clean, testable code and create automated tests, monitoring alerts, and runbooks for production grade integrations.
  • Troubleshoot integration issues, perform root cause analysis, and provide L2/L3 support for integration related incidents.
  • Maintain technical documentation, architecture diagrams, and integration playbooks for engineers and support teams.

________________________________________

Required Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience.
  • 3–5+ years of experience as a Software Engineer, Integration Engineer, or Backend Engineer building production systems.
  • Strong experience with RESTful APIs, webhooks, and event driven architectures.
  • Proficiency in at least one backend language (e.g., Python, Node.js, Java, Go) and modern frameworks.
  • Experience with cloud platforms (AWS, GCP, or Azure) and related services (queues, storage, serverless, etc.).
  • Familiarity with CI/CD pipelines, Git, and infrastructure as code (e.g., Terraform, CloudFormation).
  • Understanding of security best practices, including API security, secrets management, and compliance (e.g., SOC 2, GDPR).
  • Strong problem solving skills, ability to work independently, and collaborate effectively with cross functional teams.

________________________________________

Preferred Qualifications
  • Experience integrating AI / LLM platforms or workflow automation tools (e.g., AI agents, RPA, no code automation).
  • Familiarity with data modeling, ETL/ELT pipelines, and data warehouse concepts (e.g., Snowflake, BigQuery, Redshift).
  • Experience with observability tools (e.g., Datadog, Prometheus, Grafana, logging platforms).
  • Exposure to SaaS platforms (e.g., Salesforce, HubSpot, Workday, ServiceNow) and their APIs.
  • Interest in AI driven automation, workflow orchestration, and “action engine” style platforms like MANUS.

________________________________________

What are the Mandatory skills and skill proficiencies required for this position?

Required Qualifications (dup):

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience.
  • 3–5+ years of experience as a Software Engineer, Integration Engineer, or Backend Engineer building production systems.
  • Strong experience with RESTful APIs, webhooks, and event driven architectures.
  • Proficiency in at least one backend language (e.g., Python, Node.js, Java, Go) and modern frameworks.
  • Experience with cloud platforms (AWS, GCP, or Azure) and related services (queues, storage, serverless, etc.).
  • Familiarity with CI/CD pipelines, Git, and infrastructure as code (e.g., Terraform, CloudFormation).
  • Understanding of security best practices, including API security, secrets management, and compliance (e.g., SOC 2, GDPR).
  • Strong problem solving skills, ability to work independently, and collaborate effectively with cross functional teams.

________________________________________

Optional / Stretch
  • Experience with AI / LLM platforms or workflow automation tools.
  • Familiarity with data modeling, ETL/ELT pipelines, and data warehouse concepts.
  • Observability tools experience; SaaS platforms and their APIs.

________________________________________

Application Details
  • The following details must accompany your submission: First Name, Middle name, and Last Name; City and State; Open to Relocate; Rate; Availability; Phone #; Mobile #; Email address; Visa type; Visa Expiration Date; Hiring Status.
  • Soemia Pineda - ERM
  • North America

Tel.: +***

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