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Staff Engineer, DevOps

Job in Irving, Dallas County, Texas, 75084, USA
Listing for: Vizient, Inc.
Full Time position
Listed on 2026-07-06
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

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 approaches, and mitigate technical debt accumulation.
  • Ensure that projects remain aligned with business priorities by collaborating with product management teams to balance short‑term deliverables…
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