Job Description
Our client, a Health Insurance company, is looking for a Senior Platform Engineer for their Plano, TX/Hybrid location.
Responsibilities:
Requirements:
Why Should You Apply?
Responsibilities:
- The Senior Platform Engineer leads the design, development, and evolution of platform services, automation solutions, and cloud-native engineering capabilities that improve software delivery, reliability, scalability, security, and developer productivity.
- This role drives the creation of reusable platform products, shared services, self-service capabilities, and intelligent automation solutions while establishing engineering standards and best practices. Collaborating across engineering, product, architecture, security, and operations teams, the Senior Platform Engineer enables scalable platform adoption and advances organizational platform maturity across the AI-Driven Development Lifecycle (AIDLC).
- This role specializes in SDLC automation and intelligent engineering, driving the architecture, standardization, and adoption of reusable frameworks, platform products, components, and self-service capabilities. Engineers leverage modern engineering practices, cloud-native technologies, AI-powered solutions, and agent-based automation to accelerate software delivery, improve platform reliability, enhance developer productivity, and enable intelligent autonomous workflows across the AIDLC.
- Platform Engineering & Platform Capabilities: Lead the design and evolution of scalable engineering platforms, products, and shared services.
- Architect reusable APIs, SDKs, frameworks, and self-service capabilities. Establish platform standards, patterns, and engineering practices.
- Drive platform modernization and cloud-native adoption. Implement governance guardrails for secure, compliant software delivery.
- Partner with teams to deliver enterprise solutions and improve developer experience.
- Intelligent Automation, AI Enabled Engineering: Lead development of intelligent automation solutions across the AI-Driven Development Lifecycle.
- Architect scalable automation frameworks, AI services, and platform capabilities. Drive adoption of automation-first and AI-assisted engineering practices. Design automation for development, testing, deployment, operations, governance, and security. Lead implementation of AI agents and intelligent workflows. Collaborate with teams to embed automation across engineering ecosystems.
- AI Engineering & Agent Platforms: Lead development of AI-powered engineering capabilities, autonomous workflows, and developer experiences.
- Architect and implement AI agents, orchestration frameworks, and agent-based solutions. Integrate LLMs, prompt engineering, context engineering, MCP, and RAG capabilities.
- Define standards and best practices for AI-enabled engineering. Evaluate emerging AI technologies and establish scalable adoption patterns.
- Developer Experience & Self-Service Engineering: Lead initiatives that improve developer experience through self-service platforms and enablement capabilities.
- Define standards and best practices for developer workflows. Build reusable templates, accelerators, and automation assets that increase efficiency. Drive platform adoption through technical leadership and enablement. Enhance engineering workflows using feedback and operational insights. Advocate developer-centric platform design and engineering excellence.
- Platform Operations, Reliability & Delivery Enablement: Lead integration of platform capabilities into engineering workflows, CI/CD pipelines, and operations.
- Design highly available, resilient, scalable, and observable platform solutions. Define deployment standards, governance controls, and reliability practices. Implement observability, operational intelligence, anomaly detection, and automated remediation. Drive adoption of IaC, cloud-native architectures, and automation.
- Use operational metrics and insights to improve platform performance and reliability.
- Security, Governance & Engineering Controls: Design and implement platform-wide security controls and governance capabilities. Establish secure-by-design practices and automated compliance controls. Lead policy enforcement, risk management, and compliance automation solutions.
- Define technology guardrails that balance agility and governance requirements. Partner with security, risk, and architecture teams to align with organizational standards.
- Continuously improve security through automation and proactive engineering initiatives.
Requirements:
- Bachelor’s degree in information technology, Computer Science, Computer Information Systems, Software Engineering, Mathematics, Statistics or related field of study or equivalent, relevant work experience
- 5-8 years of experience in platform engineering, software engineering, cloud engineering, DevOps, automation engineering, or related disciplines. Strong hands-on experience with modern programming languages, cloud-native technologies, automation frameworks, and engineering platforms.
- Proven experience designing and delivering scalable platform solutions, shared services, automation frameworks, reusable components, developer tools, and self-service capabilities.
- Demonstrated experience leading technical initiatives and driving adoption of engineering best practices across teams.
- Relevant industry certifications in cloud platforms, DevOps, platform engineering, software development, automation, AI/ML, data engineering, or related technologies are preferred.
- Skills
- Platform Engineering Strategy & Architecture
- Engineering Platforms, Platform Products & Shared Services
- Developer Experience (DevEx) & Self-Service Platforms
- Reusable Components, APIs, SDKs, Frameworks & Accelerators
- Intelligent Automation & AIDLC Enablement
- AI-Assisted Engineering & Agent-Based Development
- Platform Modernization & Cloud-Native Architectures
- Cloud Engineering & Infrastructure as Code (IaC)
- DevOps, CI/CD & Engineering Productivity
- Site Reliability Engineering (SRE) & Operational Excellence
- Monitoring, Observability & Platform Reliability
- Security, Governance & Engineering Controls
Why Should You Apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Numbers & Facts
| Location | Plano, TX |
| Industry | Management Consulting Services |
| Salary | $60.30 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | https://www.iconma.com/ |
Benefits
401K, Employee Referral Program, Life Insurance
About Company
ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.
- Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
- Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
- Founded in 2000
- 2000+ Employees
The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.
Skills
- Application Programming Interface (API)unmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Agentsunmatched
- Automationunmatched
- Automation Systemsunmatched
- Best Practicesunmatched
- Cloud Architectureunmatched
- Cloud Computingunmatched
- Computer Scienceunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Improvementunmatched
- Continuous Integrationunmatched
- DevOpsunmatched
- Ecosystemsunmatched
- Emerging Technologyunmatched
- Health Insuranceunmatched
- Health Planunmatched
- High Availabilityunmatched
- Information Technology & Information Systemsunmatched
- Leadershipunmatched
- MCP - Microsoft Certified Professionalunmatched
- Mathematicsunmatched
- Metricsunmatched
- Performance Managementunmatched
- Product Lifecycleunmatched
- Programming Languagesunmatched
- Programming Toolsunmatched
- Reliability Engineeringunmatched
- Riskunmatched
- Risk Managementunmatched
- Security Architectureunmatched
- Software Agentsunmatched
- Software Developmentunmatched
- Software Development Lifecycle (SDLC)unmatched
- Software Engineeringunmatched
- Standards Developmentunmatched
- Statisticsunmatched
- Technical Leadershipunmatched
- Technical/Engineering Designunmatched
- Test Automationunmatched
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