Platform Engineer

Overview:


TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a global professional services firm specializing in digital transformation, business process management (BPM), analytics, and AI-driven solutions. The company partners with organizations to improve efficiency, transform operations, and drive business outcomes through a combination of process expertise, technology, and data insight.

Job Title: Platform Engineer
Location: Alpharetta, GA 30005
Duration: 2 Months
Job Type: Temporary Assignment
Work Type: Hybrid

Job Description:

Key Responsibilities:

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.

Required Qualifications:

• 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.

Preferred Qualifications:

• 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.

TekWissen® Group is an equal opportunity employer supporting workforce diversity.