Platform Engineer: AI, APIs & Scalable Systems

Synechron

Alpharetta (GA)

On-site

USD 105,000 - 115,000

Full time

2 days ago

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Benefits offered by this job

Competitive compensation

Work abroad opportunities

10 days paid annual leave

Maternity & paternity leave

Medical/dental/vision/life insurance

Retirement savings plans

Udemy for Business access

Training & coaching

Job summary

Synechron is seeking a hands-on Platform Engineer with full-stack development and AI engineering expertise in Alpharetta, GA. You will own end-to-end solutions from design to production support, building secure APIs, web apps, and developer platforms for critical financial applications.

Responsibilities include CI/CD, observability, and deploying AI agents with secure APIs. Collaborate with SRE, cybersecurity, and infrastructure teams to ensure reliability and performance in a global technology

Qualifications

Ownership of production applications or platform services from design through operational support.
Experience designing APIs, distributed systems, asynchronous integrations, and data access (SQL/NoSQL).
Practical experience developing LLM-enabled applications, AI agents, retrieval workflows, or AI-powered automation.

Responsibilities

Design, develop, test, and operate production-grade APIs, backend services, web applications, and developer platforms.
Build self-service portals, platform catalogs, reusable components, integrations, and automation across enterprise systems.
Deliver secure, maintainable, well-tested code and own solutions across the full SDLC, including CI/CD, deployment, rollback, and documentation.
Develop AI agents and RAG-based workflows for architecture analysis, knowledge discovery, standards validation, evidence collection, and remediation planning.
Integrate AI solutions with enterprise APIs and tools using secure interfaces such as MCP, with governance frameworks.
Engineer resilient, scalable systems with high availability, fault tolerance, disaster-recovery, observability, and performance testing.
Translate architecture standards into libraries, reference implementations, automated checks, platform guidance, and guardrails.
Identify design deviations and operational risks, support remediation tracking, and promote best practices through documentation and mentoring.