Devops • plano tx
Job Title: Staff Platform Engineer.Job Location: Plano Texas 75024 .Job Duration: 6 months with possible ext.ONE OF THESE CERTIFICATIONS IS REQUIRED FOR ANY CANDIDATE SUBMITTED (PLEASE OBTAIN A COP... Show more
Automation Engineer is responsible for creating reusable automation capabilities, enabling platform engineering, and driving operational efficiency across IT Employee Services.This role creates bus... Show more
Innovative Tech Solutions Inc is looking for a talented Senior Python Developer with expertise in Agentic AI and Azure to join our growing team in Woodlawn, MD.This is an exciting opportunity to wo... Show more
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.... Show more
Extensive experience in designing, configuring, deploying, managing and automating AWS Core Services like S3, IAM, EC2, Route53, SNS, SQS, ELB, CloudWatch, Lambda and VPC.Experience in automating c... Show more
Overall 9+ years of experience in Java/J2EE.Strong Experience in Spring framework, microservices.Strong Experience in REST APIs. Show more
DevOps, SRE, or Cloud Engineering roles.Experience with leading, mentoring, and growing a high-performing DevOps engineering team.Strong expertise with AWS/Azure/GCP.Hands-on experience with CI/CD ... Show more
Required Skills and Qualifications:.Must Have: Experience in working with Telecom domain project esp.MVNO/MVNE operators with exposure to microservices API and system integration with Third party p... Show more
Overview CG Infinity is seeking a highly skilled and disciplined Automation Test Engineer to join our team.This role is focused on designing, developing, and executing automated test solutions to v... Show more
Tiger Analytics is looking for experienced Senior DevOps Engineer – Workday Financials to join our fast-growing advanced analytics consulting firm.We are the trusted analytics partner for multiple ... Show more
We are seeking an AI DevOps Engineer to design, develop, deploy, and support enterprise AI agents and Generative AI solutions for clients, primarily in the consumer electronics and retail industrie... Show more
Join a team that keeps modern cloud data platforms reliable so engineers can deliver features confidently.You will shape secure environments, pipelines, and deployment standards that enable fast, s... Show more
Job Title: Mainframe Dev & Deployment Tools Engineer .Plano, TX | Charlotte, NC | Richmond, VA | Jacksonville, FL | Pennington, NJ | Chicago, IL.Mainframe Dev & Deployment Tools Engineer.T... Show more
Salesforce: Salesforce metadata and deployment architecture, Apex, Flow, permissions, and environment management.DevOps: Copado, Git/source control, CI/CD concepts, branching and merging, release m... Show more
Role: Full Stack Developer, Intermediate.Note: No third party/C2C or 1099.Strong hands-on experience with.Java-based frameworks, preferably.RESTful APIs and microservices.Strong understanding of so... Show more
Plano, TX (Hybrid — 3 days/week onsite; only local candidates will be considered).Our client is a leading multinational telecommunications technology company driving large-scale cloud modernization... Show more
DevOps Infrastructure Engineer.Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients.We enhance situational awareness for soldiers ... Show more
JAVA BACKEND DEVELOPER (8+ Years) -Microservices SpringBoot - PLANO, TX -</b></p> <p><b>The Java Backend Developer will focus on building scalable, secure, and high performa... Show more
The average salary range is between $ 118,643 and $ 160,951 year , with the average salary hovering around $ 134,550 year .
The average salary range is between $ 110,000 and $ 165,010 year , with the average salary hovering around $ 129,998 year .
Job Title: Staff Platform Engineer
Job Location: Plano Texas 75024
Job Duration: 6 months with possible ext
Priority
ONE OF THESE CERTIFICATIONS IS REQUIRED FOR ANY CANDIDATE SUBMITTED (PLEASE OBTAIN A COPY TO PROVIDE):
Minimum Qualifications
Preferred Qualifications
Skills
Role Summary
The Staff Platform Engineer drives the strategy, architecture, and evolution of enterprise platform engineering capabilities that enable scalable, secure, and efficient software delivery. This role leads the design of platform products, intelligent automation solutions, self-service capabilities, shared services, and cloud-native engineering ecosystems that improve developer productivity and operational excellence at scale. Working across engineering, architecture, security, product, and technology leadership teams, the Staff Platform Engineer establishes platform standards, accelerates adoption of modern engineering practices, and advances organizational maturity across the AI-Driven Development Lifecycle (AIDLC).
This role specializes in SDLC automation and intelligent engineering, defining the strategic direction for reusable platform products, shared services, frameworks, and self-service capabilities. Engineers drive enterprise adoption of platform engineering, automation-first practices, AI-powered solutions, and agentic workflows to improve software delivery efficiency, operational resilience, developer productivity, and organizational scalability across the AIDLC.
Essential Job Functions
Platform Engineering & Platform Capabilities
Define the strategic direction and roadmap for platform engineering capabilities. Lead architecture and design of enterprise platforms, products, and shared services. Establish platform standards, reference architectures, and reusable patterns. Drive platform modernization and cloud-native adoption. Oversee reusable APIs, SDKs, frameworks, and self-service capabilities. Align platform investments with business goals to improve scalability and developer productivity.
Intelligent Automation, AI Enabled Engineering
Define enterprise automation strategies that accelerate the AI-Driven Development Lifecycle. Lead development of intelligent automation platforms, AI-powered capabilities, and autonomous workflows. Establish standards and governance for automation-first engineering practices. Drive adoption of AI agents and agentic workflows across engineering organizations. Improve productivity through automation, orchestration, and AI technologies. Partner with engineering and architecture leaders to scale automation enterprise-wide.
AI Engineering & Agent Platforms
Define the vision for AI-enabled engineering platforms and agent ecosystems. Lead adoption of LLMs, agent orchestration frameworks, MCP, RAG, and emerging AI technologies. Establish standards and patterns for scalable AI-powered solutions. Evaluate emerging technologies and provide strategic recommendations. Guide intelligent developer experiences and autonomous engineering capabilities. Promote readiness for AI-native engineering practices.
Developer Experience & Self-Service Engineering
Define and drive the vision for developer experience across engineering platforms. Lead design of self-service ecosystems that improve speed, consistency, and autonomy. Establish standards for onboarding, development, testing, deployment, and support. Sponsor reusable accelerators, templates, and platform capabilities. Drive platform adoption through enablement, advocacy, and feedback. Champion a developer-first culture across engineering organizations.
Platform Operations, Reliability & Delivery Enablement
Define strategies for platform reliability, resilience, scalability, and performance. Lead delivery enablement, CI/CD platforms, observability, and operational intelligence capabilities. Establish standards for IaC, deployment automation, and cloud operations. Drive monitoring, anomaly detection, automated remediation, and intelligent workflows. Use metrics and platform intelligence to improve delivery and operations. Guide teams in reliability engineering and operational maturity.
Security, Governance & Engineering Controls
Define platform-wide governance, security, compliance, and risk management strategies. Establish enterprise guardrails, policy frameworks, and secure-by-design principles. Drive automated compliance, governance, and security capabilities across platform ecosystems. Partner with security, risk, architecture, and compliance stakeholders. Enable engineering agility through scalable governance frameworks and policy automation. Improve security posture through platform-driven controls and automation.
