Platform Engineer

TekWissen LLC; Alpharetta (GA); Hybrid; USD 96,000 - 152,000; Part time

Job summary

TekWissen LLC is seeking a Platform Engineer for a hybrid, 2-month assignment in Alpharetta, GA. You will design and operate production-grade APIs, back-end services, and developer-facing platforms, while building AI agents and automated workflows to enhance architecture analysis and remediation planning.

The role emphasizes SDLC ownership, scalable infrastructure, and secure coding practices, with collaboration across SRE and application teams to ensure production-readiness and high

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.

Responsibilities

• 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.
• 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.
• Identify and remediate single points of failure, scaling bottlenecks, and critical dependency weaknesses.
• Design and validate high-availability, failover, disaster-recovery, and data-reconciliation capabilities.
• Build observability through metrics, logs, tracing, dashboards, and alerts.

Skills

Java

Python

C#/.NET

React

Angular

TypeScript

LLM-enabled apps

AI agents

System design

Tools

Kubernetes

CI/CD

Job description

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.