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Staff Engineer, DevOps

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Vizient
Full Time position
Listed on 2026-07-04
Job specializations:
  • Software Development
    DevOps, Software Architect
Salary/Wage Range or Industry Benchmark: 156998 - 200000 USD Yearly USD 156998.00 200000.00 YEAR
Job Description & How to Apply Below

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied, and able to contribute their unique skills while living and working authentically.

Responsibilities
  • Lead the design and development of scalable, reliable, and high‑performance systems by analyzing business requirements, selecting appropriate technologies, and architecting solutions that meet both immediate needs and long‑term goals.
  • Ensure that architectural decisions align with business objectives while balancing factors such as maintainability, performance, security, and scalability.
  • Establish and enforce engineering best practices, including rigorous code reviews, automated testing frameworks, and continuous integration/deployment (CI/CD) pipelines.
  • Implement standardized development processes to improve code quality, reduce defects, and increase development efficiency.
  • Evaluate emerging tools and methodologies to enhance engineering workflows and ensure industry‑leading development standards.
  • Mentor and coach junior and mid‑level engineers with hands‑on technical guidance, structured training programs, and feedback sessions.
  • Provide insights on complex problem‑solving techniques, software design patterns, and coding best practices to accelerate the growth of less‑experienced engineers.
  • Foster a culture of learning by organizing technical workshops, peer programming sessions, and documentation initiatives.
  • Act as the primary escalation point for complex technical challenges, diagnose multi‑system issues by conducting in‑depth performance analysis, debugging, and reviewing logs and telemetry data.
  • Lead root cause analysis efforts and implement strategic solutions that not only resolve immediate problems but also prevent future occurrences.
  • Work closely with site reliability engineers (SREs) and Dev Ops teams to improve system stability, enhance observability, and optimize incident response procedures.
  • Drive AI adoption by identifying opportunities to integrate automation, machine learning models, and AI‑powered tools into engineering workflows.
  • Conduct research on AI‑driven solutions that can improve software development efficiency, such as intelligent code suggestions, predictive maintenance algorithms, and automated testing frameworks.
  • Provide technical leadership in exploring AI‑driven optimizations for business processes, ensuring responsible AI implementation and adherence to ethical guidelines.
  • Work closely with Product Owners, Engineering Leadership, Architects, and other stakeholders to align technical solutions with business objectives.
  • Define long‑term technical roadmaps, break down complex projects into actionable deliverables, and ensure that dependencies across teams are well‑managed.
  • Collaborate with cross‑functional teams to provide strategic input on feature feasibility, impact assessment, and prioritization, ensuring that engineering efforts contribute directly to business success.
  • Ensure security, reliability, and scalability of applications, and proactively identify vulnerabilities, assess risks, and implement security best practices such as encryption, authentication, and access control mechanisms.
  • Work on infrastructure improvements, security enhancements, and system optimizations to mitigate risks, reduce technical debt, and maintain compliance with industry regulations.
  • Contribute to incident response planning, disaster recovery strategies, and capacity planning efforts to ensure system resilience.
  • Foster a culture of continuous learning by encouraging experimentation, technical deep dives, and engagement in industry trends.
  • Promote engineering excellence through initiatives such as internal knowledge‑sharing sessions, technical blogs, and mentorship programs.
  • Facilitate retrospectives and post‑mortems to identify lessons learned from past projects and improve future development cycles.
  • Help teams embrace innovation and drive technological advancements.
  • Assess project risks by evaluating technical dependencies, identifying potential bottlenecks, and analyzing trade‑offs between speed and quality.
  • Through proactive risk management, develop contingency plans, recommend alternative…
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