WHY JOIN US
AgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Full Stack Engineer to build backend services and content experiences within a Unified CMS platform.
Working in Node.js, React, and Next.js, this person develops REST and GraphQL integrations, manages content models in a headless CMS, and supports personalization and A/B testing.
AI-assisted development practices are part of the daily workflow.
WHAT YOU WILL DO
Build and maintain backend services and API integrations supporting Unified CMS and integral web experiences.
Develop and maintain Node.js services, REST APIs, and GraphQL or gRPC integrations.
Build and maintain React components and content blocks that power Unified CMS and marketing experiences.
Develop and optimize SSR and SSG workflows using Next.js or similar frameworks.
Implement content models and manage schema changes within Contentstack.
Build reusable UI components using the platform's design system and Emotion.
Integrate third-party APIs and services and troubleshoot end-to-end data flows.
Support personalization and A/B testing capabilities across Unified CMS experiences.
Develop and maintain automated unit, integration, and E2E tests.
Apply AI-assisted development practices as part of day-to-day engineering work to improve productivity, implementation, testing, and troubleshooting.
Contribute to platform performance, scalability, reliability, and stability.




Participate in Git-based development workflows and CI/CD processes.
MUST HAVES
4+ years of software engineering experience preferred.
Strong Node.js and backend development.
Next.js or similar SSR framework.
Backend services and REST APIne major cloud platform:AWSAzureGCP Experience working with Docker and Kubernetes .
Strong understanding of Git-based development workflows and CI/CD practices .
Experience designing reliable, scalable, and production-ready distributed systems.
Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
Experience working directly with customers, stakeholders, or technical partners.
Ability to translate complex customer requirements into pragmatic technical solutions.
Strong communication skills and the ability to operate effectively in customer-facing technical conversations.
High degree of autonomy and ownership when solving ambiguous technical problems.
Highly Relevant Experience
Experience with any of the following will be especially valuable:
Identity and Access Management (IAM )Identity Providers (IdPs ) Identity Security Cybersecurity platforms SIEM systems Security telemetry Network security Endpoint security SASE / Zero Trust environments Cloud security Large‐scale event processing Streaming architectures
Integration Experience
Previous experience integrating APIs or data from platforms such as the following is highly valuable:




AWSMicrosoft AzureGoogle Cloud Microsoft Entra ID / Active Directory Okta Google Workspace Duo CrowdStrike Zscaler Palo Alto Microsoft Defender SIEM and security analytics platforms
Direct experience with every platform is not required.
What matters is a strong track record of learning complex APIs and transforming heterogeneous enterprise data sources into reliable integrations.
Nice to Have
Experience with large-scale data processing or streaming platforms.
Experience designing reusable connector SDKs or integration frameworks .
Understanding of identity-related security concepts such as authentication, authorization, credentials, service accounts, privileged access, and non-human identities.
Experience with security events, audit logs, network telemetry, or cloud activity data.
Familiarity with event-driven and distributed system architectures.
Experience deploying AI/ML-enabled applications.
Exposure to LLMs, AI agents, or AI-powered security applications .
Solution Architecture or Forward Deployed Engineering experience.
Previous experience in cybersecurity startups or high‐growth SaaS environments.
What Success Looks Like
Success in this role will be measured by your ability to:
Deliver successful enterprise integrations and deployments.
Reduce customer time-to-production.
Build reliable and scalable ingestion solutions.
Improve customer adoption and technical satisfaction.
Resolve complex integration challenges efficiently.
Turn customer‐specific requirements into reusable platform capabilities.
Contribute improvements that strengthen the scalability and flexibility of the core product.
What Darwoft Offers
Contractor agreement with payment in USD 100% remote work Argentina's public holidays English classes Referral program Access to learning platforms
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📌 Senior Full Stack Engineer Id89116 (Santa Fe)
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