Integrations Engineer

LoopStudio; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

LoopStudio is seeking a Senior Integrations Engineer to bridge engineering and enterprise customers. You will translate complex business requirements into scalable technical solutions using Python or Go, building connectors and data pipelines across IdPs, SASE, networks, and cloud platforms.

In this customer-facing role, you’ll lead technical discovery, design production-grade integrations, and collaborate with Sales Engineering, Solution Architects, and Product to influence the roadmap.

Qualifications

• 10+ years of software engineering experience.
• Experience in customer-facing engineering or consulting roles.
• Strong programming skills in Python and/or Go.
• Experience with REST APIs, Docker, Kubernetes, Git, and CI/CD.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Experience building connector platforms or integration frameworks.
• Experience integrating enterprise systems.
• Experience working with APIs from providers such as Microsoft, Google, AWS, Okta, Duo, CrowdStrike, Zscaler, Palo Alto, or Microsoft Defender.

Responsibilities

• Bridge engineering and enterprise customers, translating requirements into scalable solutions.
• Lead integration of customer data sources into the platform’s data pipeline.
• Design, deploy, and optimize production-grade integrations with cloud services.
• Collaborate with Sales Engineering, Solution Architects, and Product to shape roadmap.
• Provide ongoing support and troubleshooting post-deployment.

Skills

Python

Go

APIs

Docker

Kubernetes

Git

CI/CD

Cloud platforms

Education

Bachelor's or Master's in Computer Science or related field

Tools

AWS

Azure

GCP

SQL/NoSQL databases

CI/CD pipelines

Job description

We are looking for a great , customer-facing Senior Integrations Engineer with Python or Go to join our team!

Job Description

In this role, you'll be the critical link between engineering and enterprise customers of an Identity Security platform, translating complex business requirements into scalable technical solutions.

You'll lead the integration of customer data sources (IdPs, SASE, network, endpoints, cloud platforms, and applications) into the platform’s data pipeline, owning the full lifecycle from technical discovery and architecture design to deployment, optimization, and ongoing support.

This role blends software engineering, solutions architecture, and technical consulting, and your insights from customer deployments will directly shape the product roadmap.

Committed to

• Partnering with enterprise customers to understand their networks, data flows, workflows, and technical requirements
• Working with Sales Engineering and Solution Architects during customer onboarding, from kick-off to full operational status
• Serving as a trusted technical advisor to the field team on data collection, integration, analysis, and security architecture
• Integrating and onboarding customer data sources into the platform’s data pipeline
• Designing and implementing production-grade solutions using APIs, cloud platforms, and modern engineering practices
• Leading technical discovery sessions, solution design, and implementation
• Debugging and troubleshooting deployment issues and optimizing system performance
• Working closely with Product and Engineering to influence the roadmap based on customer feedback
• Contributing reusable features back to the core product
• Traveling occasionally to customer sites when required

Must have

• 10+ years of software engineering experience.
• Bachelor's or Master's degree in Computer Science or a related field.
• Experience in customer-facing engineering or consulting roles.
• Strong programming skills in Python and/or Go.
• Experience with REST APIs, SQL/NoSQL databases, Docker, Kubernetes, Git, and CI/CD.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Experience building connector platforms or integration frameworks.
• Experience integrating enterprise systems.
• Experience working with APIs from providers such as Microsoft, Google, AWS, Okta, Duo, CrowdStrike, Zscaler, Palo Alto, or Microsoft Defender.

Nice to have

• Familiarity with IAM, identity security, cybersecurity, or SIEM technologies.
• Exposure to large-scale data processing and streaming systems.
• Experience with AI/ML applications or LLMs.

Soft Skills

• Excellent problem-solving and debugging skills
• Strong communication and stakeholder management skills
• Ability to act as a trusted technical advisor for customers and internal teams
• Ownership mindset, comfortable driving solutions from discovery to production
• Collaborative approach across Engineering, Product, Customer Success, and Sales