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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer - **Company:** TekWissen LLC - **Location:** Johns Creek, GA, United States - **Contract:** Temporary contract - **Skills:** AI Evaluation, Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Application Services, Architectural Patterns, User Authentication, C Sharp (Programming Language), Code Review, Databases, Continuous Integration, Data Centers, Data Security, Disaster Recovery, Distributed Systems, Fault Tolerance, Design of User Interfaces, Python (Programming Language), Key Management, Load Testing, Enterprise Messaging Systems, NoSQL, Performance Tuning, Systems Development Life Cycle, Distributed Caching, Search Technologies, Secure Coding, Software Engineering, Systems Integration, TypeScript, Web Applications, Policy as Code, ReactJS, Large Language Models, Multi-Agent Systems, Apigee, Backend, Agentic-AI, AngularJS, Kubernetes, Code Testing, Enterprise Integration, Apache Kafka, Api Design, Api Gateway, Model Context Protocol, Dynatrace - **Published:** October 17, 2026 - **Apply:** https://www.careerjet.com/jobad/us6e7d9de54c98a0c87e9086288486954c ## About the Role * Strong hands-on software development experience using Java, Python, C#/.NET, or comparable backend technologies. * Experience developing user interfaces with React, Angular, TypeScript, or an equivalent modern framework. * Demonstrated ownership of production applications or platform services, from design through operational support. * Experience designing APIs, distributed systems, asynchronous integrations, and relational or NoSQL data access. * Practical experience developing LLM-enabled applications, AI agents, retrieval workflows, or AI-powered automation. * Experience with containers, Kubernetes or equivalent platforms, CI/CD, and infrastructure/configuration as code. * Strong understanding of authentication, authorization, secrets management, secure coding, and data protection. * Ability to diagnose application, database, network, and dependency-related performance or reliability issues. * Strong collaboration skills and the ability to explain technical decisions and trade-offs to diverse stakeholders., * Experience with Wealth Management, banking, trading, or other high-availability transaction-processing systems. * Familiarity with API gateways such as Apigee, messaging platforms such as Kafka or MQ, and distributed caching. * Experience with MCP integrations, agent orchestration, vector search, AI evaluation, and production AI monitoring. * Knowledge of multi-data-center architecture, disaster recovery, SLOs, and resilience testing. * Experience building internal developer platforms, service catalogs, policy-as-code, or automated architecture-governance capabilities. ## Description Full-Stack Software and Platform Development: * Design, develop, test, and operate production-grade APIs, backend services, web applications, and developer-facing platforms. * Build self-service portals, infrastructure platform catalogs, reusable components, and automation that simplify adoption of approved platform capabilities. * Develop integrations across application services, databases, messaging platforms, API gateways, and enterprise engineering tools. * Write maintainable, secure, well-tested code and participate in code reviews, design discussions, troubleshooting, and performance optimization. * Own capabilities throughout the SDLC, including CI/CD, deployment, rollback, documentation, and operational readiness. AI Engineering and Intelligent Automation: * Build AI agents and AI-assisted workflows for architecture analysis, engineering knowledge discovery, evidence collection, standards validation, and remediation planning. * Develop retrieval-augmented generation solutions that ground responses in authorized architecture documents, code, configuration, and platform knowledge. * Integrate agents with enterprise APIs and tools through controlled interfaces, including Model Context Protocol (MCP) where appropriate. * Implement evaluation frameworks for accuracy, grounded ness, safety, consistency, latency, and cost. * Engineer production controls for AI systems, including access restrictions, bounded execution, auditability, human approval, and safe fallback behavior. * Automate architecture-review feedback and remediation tracking within developer workflows. Resilience, Scalability, and Operational Excellence: * Identify and remediate single points of failure, shared-resource risks, scaling bottlenecks, and critical dependency weaknesses. * Implement timeouts, bounded retries, circuit breakers, bulkheads, idempotency, backpressure, and graceful degradation where appropriate. * Design and validate high-availability, failover, disaster-recovery, and data-reconciliation capabilities aligned with business requirements. * Build observability through metrics, structured logs, distributed tracing, dashboards, and actionable alerts. * Partner with SRE and application teams on load testing, failure testing, incident analysis, and recovery validation. Architecture Standards and Platform Governance: * Translate architectural patterns and standards into reusable libraries, reference implementations, automated checks, and engineering guardrails. * Develop and maintain the infrastructure platform catalog, adoption guidance, and architecture decision records. * Detect deviations from approved designs and service-level objectives, and help teams prioritize corrective actions. * Promote consistent API design, secure integration, platform reuse, and measurable production-readiness criteria. * Share engineering practices through demonstrations, documentation, mentoring, and PEArch Guild sessions.