Senior Software Engineer

Vizient, Inc

Senior Software Engineer designing and building scalable backend systems for AI/ML products at Vizient. Collaborating with cross-functional teams to enhance operational efficiency and reliability.

Posted 7/29/2026full-timeIrving • Illinois, Texas • 🇺🇸 United StatesSenior💰 $102,400 - $179,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python development for backend services and APIs, with a strong focus on cloud infrastructure using Pulumi and CI/CD practices. Proficient in enhancing observability and operational reliability for AI/ML applications while collaborating effectively across teams.

Highest-signal resume keywords

Python DevelopmentPulumiCI/CD PipelinesObservability ToolsAI/ML Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend ServicesAPIsDistributed SystemsCloud-Based ApplicationsInfrastructure AutomationContainer OrchestrationKubernetesServerless ArchitecturesData PipelinesTroubleshooting

Soft Skills

Analytical SkillsProblem-SolvingVerbal CommunicationWritten CommunicationCollaboration

Tools & Technologies

AWSAzureGCPDockerTerraformDatabricksAzure AI Foundry

Industry Keywords

AI/ML ApplicationsModel ServingLLM ApplicationsRAG WorkflowsIncident Management

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesPythonTerraform

About the role

Key responsibilities & impact

Design, develop, and maintain backend services, APIs, and platform components that support AI/ML applications and distributed systems
Build scalable cloud infrastructure using Pulumi and modern infrastructure-as-code practices while developing CI/CD pipelines, deployment workflows, and containerized cloud environments
Support production deployment of ML models, LLM applications, RAG pipelines, and agentic AI systems while collaborating with AI/ML engineers to productionize model serving, inference pipelines, and data workflows
Enhance observability through monitoring, logging, tracing, alerting, and incident management practices to improve operational reliability and system performance
Implement engineering standards for testing, code quality, security, maintainability, scalability, latency optimization, and cost efficiency
Define reusable platform patterns, developer tooling, and engineering workflows that improve developer productivity and operational consistency across the AI/ML team
Evaluate emerging AI engineering trends, AI-assisted development tools, and modern software practices to drive continuous improvement and innovation
Partner with product, security, data, and platform teams to deliver production-ready AI solutions while contributing to architectural discussions and long-term platform strategy
Troubleshoot complex production issues, perform root cause analysis, and drive remediation efforts to improve system stability and reliability
Mentor engineers through technical collaboration, code reviews, knowledge sharing, and engineering best practices.

Requirements

What you’ll need

Relevant degree preferred
5 or more years of relevant experience required
Strong Python development experience with expertise building production backend services, APIs, distributed systems, and cloud-based applications required
Hands-on experience with Pulumi, Terraform, or other infrastructure-as-code tools along with cloud platforms such as AWS, Azure, or GCP required
Experience with Docker, CI/CD pipelines, infrastructure automation, container orchestration, Kubernetes, serverless architectures, and cloud deployment practices preferred
Knowledge of observability tools, monitoring, logging, tracing, alerting frameworks, and production support practices
Familiarity with ML/AI systems, model serving, LLM applications, inference pipelines, RAG workflows, data pipelines, or related AI platform technologies
Experience with Databricks, Azure AI Foundry, or similar AI/ML platform technologies preferred
Strong analytical, troubleshooting, problem-solving, verbal communication, and written communication skills with the ability to collaborate across technical and business teams
Ability to operate effectively in fast-paced, evolving environments with a high level of ownership, accountability, and adaptability.

Benefits

Comp & perks

Comprehensive benefits plan