Codex Cli Jobs Salary Jobs in Usa

Lead Windows System Administrator - Previous experience working in the Retail Industry is required.

We’re seeking a talented Lead Windows System Administrator with deep expertise in Microsoft and VMware technologies, Azure cloud services, and Microsoft 365 to join our dynamic team managing the core infrastructure that drives business operations.

In this role, you’ll support both on‑premises and cloud environments, play a key role in infrastructure initiatives, and ensure the ongoing security, stability, and performance of enterprise systems. The Windows Administration Team is responsible for maintaining and advancing the Microsoft ecosystem, including Active Directory, Microsoft 365, SharePoint Online, SQL, and the broader Microsoft Collaboration Suite. In addition, the team supports key service platforms such as VMware, compute, storage, backup, and other critical infrastructure technologies.

This position requires participation in an on‑call rotation and offers a primarily remote schedule, with on‑site presence approximately four days per month or as needed based on project or support requirements.

A Day in the Life

• Design and implement hybrid infrastructure solutions using Azure IaaS/PaaS and on‑prem vSphere
• Manage Azure services including VMs, networking, storage accounts, Azure AD, backup, and monitoring
• Oversee VMware infrastructure (vCenter, ESXi hosts, HA/DRS clusters, vSAN)
• Administer enterprise storage platforms
• Automate system tasks using PowerShell, Azure CLI, and Terraform
• Lead incident response, root cause analysis, and performance tuning
• Collaborate with security and networking teams to enforce compliance and governance
• Participate in an on‑call rotation and provide support as needed for projects and escalations
• Mentor junior administrators and contribute to infrastructure roadmaps

You’ll Come With

• Bachelor’s degree in Computer Science, Information Technology, or a related field (preferred)
• 5+ years of systems administration experience, including Windows Server (2016, 2019, 2025)
• Experience with Active Directory, Azure AD, and Microsoft 365 administration
• Expertise with VMware (ESXi, vCenter, vSphere) and virtualization best practices
• Solid understanding of core infrastructure services: DNS, DHCP, DFS, IIS, Group Policy, RDS
• Experience supporting Microsoft SQL Server infrastructure
• Experience with Azure cloud services and Azure DevOps (CI/CD pipelines, infrastructure automation)
• Expertise with Veeam Backup & Replication, including VeeamONE
• Advanced PowerShell scripting skills for automation and configuration management
• Experience with security best practices, patch management, and compliance standards
• Expertise with enterprise server hardware (Cisco, HP rack‑mounted and blade systems)
• Extensive experience with shared storage platforms and architectures
• Working knowledge of monitoring and endpoint management tools such as BigFix, Datadog, or SolarWinds
• Familiarity with ITIL, COBIT, and project management methodologies

Additional Qualifications

• Strong background in risk and compliance, ideally within the payments or financial services space
• Experience with process documentation, including creating documentation from scratch
• Ability to assess and support controls, risks, and operational processes end‑to‑end

Our client, a large, complex enterprise organization, is looking for a Principal AI Engineer to serve as the lead architect and hands-on builder of a unified AI Platform as a Service (PaaS) a secure, multi-tenant foundation that helps internal teams build and operate semantic discovery, conversational experiences, and autonomous agent workflows at scale.

Summary:

The Principal AI Engineer will design and build an enterprise-grade “AI operating layer” that turns modern foundation model capabilities into a governed, reusable platform used across multiple business domains. This role balances approximately 40% hands-on development with 60% platform strategy, personally building core orchestration services, standardized capability interfaces, and trust/safety guardrails. The platform will enable teams to deploy specialized agents that can collaborate via defined protocols, securely access grounded knowledge sources, and execute autonomous tasks within a controlled, high-availability runtime.

Location: Remote (U.S.) / Hybrid options may be available based on client needs.

Compensation Range: $145,000 - $250,000 per year plus RSUs & Bonus

Benefits: Very competitive benefits

Responsibilities

• Architect and deliver a self-service AI platform that provides reusable patterns, reference implementations, and standardized building blocks for internal engineering teams.
• Define and communicate a multi-year platform roadmap, ensuring technical priorities map to enterprise outcomes and adoption goals.
• Design and implement stateful orchestration (state graphs/state machines) to handle planning edge cases, recovery, and self-correction in autonomous workflows.
• Build and operate secure remote tool gateways (e.g., MCP-style servers) and implement controlled function-calling interfaces for connecting agents to sensitive enterprise systems.
• Establish interoperability standards for agent-to-agent collaboration, enabling autonomous discovery and reliable task handoffs across independently built agent solutions.
• Design an agent identity and authorization layer that supports fine-grained permissions, auditable actions, and strong accountability for autonomous behaviors.
• Implement a unified knowledge layer using semantic retrieval and multimodal grounding to support accurate, “source-aligned” responses and decisions.
• Build long-term context persistence (“memory”) using retrieval and graph-based storage to preserve institutional knowledge and improve continuity over time.
• Create a trust and evaluation layer with automated testing pipelines to measure quality, safety, cost, latency, and reliability of agent behavior across tenants.
• Own runtime lifecycle management for agent sessions, ensuring high availability, persistence, scalability, and controlled rollout patterns.
• Lead deep code reviews focused on agent-specific failure modes (runaway loops, tool misuse, state growth, unreliable calling patterns) and implement mitigations.
• Optimize inference performance and spend through techniques such as prompt caching, model routing, and workload-aware runtime strategies.
• Act as a technical multiplier by mentoring senior/staff engineers on advanced agentic patterns, evaluation methods, and production hardening.
• Partner closely with Cloud and Infrastructure teams to influence enabling services and platform primitives needed for enterprise AI delivery.
• Raise the bar on engineering quality via documentation, profiling, reliability improvements, and ongoing performance tuning.

QUALIFICATIONS:

Required:

• 10+ years of software engineering experience, including 4+ years operating at a Principal/Architect level.
• 2+ years architecting and shipping LLM-based systems, with demonstrated experience taking agentic solutions into production at scale.
• 5+ years working in agile delivery environments.
• Google Cloud Professional Cloud Architect certification.
• Proven ability to lead technical workstreams and translate business needs into durable platform architectures.
• Strong expertise in asynchronous orchestration (e.g., Python) plus proficiency in a statically typed language (Java, Go, or Rust) for high-concurrency platform services.
• Hands-on experience with stateful graph orchestration patterns and frameworks (e.g., LangGraph/ADK-style approaches) to power robust reasoning workflows.
• Strong cloud-native experience with CLI tooling and Infrastructure-as-Code; proven ability to deploy and scale containerized workloads using container orchestration and serverless platforms.
• Experience designing and operating distributed architectures at scale, including vector stores, graph databases, and structured data pipelines.
• Deep knowledge of multi-agent design patterns and the ability to extend or replace off-the-shelf orchestration when scaling, safety, or reliability requires it.
• Working understanding of modern agent reasoning approaches (Chain-of-Thought, ReAct, Tree-of-Thoughts, Self-Reflection) and when to apply them.
• Experience supporting very high request volumes and/or extremely large datasets in production environments.
• Expertise building semantic retrieval layers, attribute-aware discovery, and stateful persistence for long-lived agent context.
• Strong understanding of MCP-style tool protocols, agent-to-agent interaction patterns, REST/gRPC APIs, OAuth2, and function-calling mechanics.
• Familiarity with microservices architecture patterns and distributed systems best practices.
• Ability to implement observability for agentic systems, including traceability/telemetry and debugging methods for multi-step reasoning and handoffs.
• Awareness of global AI regulations (e.g., EU AI Act) and ability to translate requirements into technical controls and platform governance.
• Strong written and verbal communication skills across technical and business audiences.
• Calm, decisive execution in high-pressure or incident scenarios.
• Highly organized, self-directed, detail-oriented, and effective with limited supervision.
• Ability to support off-hours work as needed, including rotational on-call, weekends, and holidays.

Preferred:

• Bachelor’s or Master’s in Computer Science, AI, or a related field.
• PhD in AI, Distributed Systems, or Cognitive Science.
• Google Cloud Professional Machine Learning Engineer certification and/or specialized certifications in multi-agent systems/autonomous reasoning.
• 3+ years working with distributed caching technologies.
• Experience provisioning and configuring cloud platform resources at scale.
• Experience supporting consumer-facing digital or commerce environments.
• Proficiency with Google Workspace (Sheets, Docs, Slides, Gmail).

About Hansell Tierney:

Hansell Tierney is one of the premier staffing and recruiting companies in the Pacific Northwest. Launched in 2001, we are a woman-owned business that serves and staffs Northwest organizations by doing things the right way, not just the easiest way. Hansell Tierney partners with candidates and clients to match the best candidates with interesting local opportunities. We navigate every relationship with the highest level of discretion and service while holding ourselves accountable to our promises. Our business thrives on our deep understanding of the job market and our ability to skillfully tailor our recruitment process to meet our clients’ unique needs.

Our Ideal Candidate

We are looking for a Senior Data Engineer who is a self-starter and detail-oriented with a strong blend of technical expertise and business acumen. The ideal candidate has a strong foundation in data engineering, experience working with healthcare data, and the ability to build scalable data-driven solutions. You are a proactive problem-solver who takes ownership of your work, continuously seeks to improve data quality and accessibility, and is committed to delivering high-quality data solutions.

Responsibilities

• Lead data modeling efforts to create optimized data structures for reporting and analytical purposes.
• Design, develop, and maintain end-to-end data pipelines that transform raw source data into high-quality, actionable datasets.
• Build the company's data infrastructure and data catalog, from data ingestion through the semantic layer, ensuring a robust, scalable architecture on AWS.
• Collaborate with cross-functional teams (product, technology, operations, etc.) to understand data needs, align them with business goals, and translate them into technical solutions.

Qualifications

• Bachelor's or Master's (preferred) degree in Computer Science, Engineering, or a related quantitative field (Data Science).
• 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role, with a strong focus on the development of end-to-end data solutions and products.
• 5+ years of hands-on experience with AWS cloud technologies is required, including designing, building, and maintaining cloud-based data infrastructure and infrastructure as a Code (IaC), such as CDK or Terraform.
• Proficiency in building and managing data infrastructure and ETL pipelines within AWS, leveraging services like AWS Glue, Athena, Redshift, Aurora, RDS, DynamoDB, EMR, Lambda, IAM, S3, EC2, CLI.
• Demonstrated experience in designing and implementing robust data models for analytical purposes.
• Strong proficiency in SQL and experience with various database systems (e.g., MySQL, NoSQL, Snowflake, Vector Databases).
• Strong proficiency in Python for data engineering and analytics, and extensive experience with data pipeline development and orchestration tools (e.g., Airflow, dbt).
• Experience with Power BI or Tableau for data reporting and dashboard development.
• Experience shipping data products to production and understanding software development lifecycle best practices.
• Strong problem-solving skills, the ability to work independently, and good communication and collaboration skills.
• Ability to learn new technologies and adapt to a fast-paced environment.
• Awareness of HIPAA, PHI, and other healthcare-specific regulations related to data and AI.

The Enterprise Application Architect is responsible for defining and driving the product’s technical vision using Azure cloud-based solutions and event-driven architectures. This role requires a big-picture mindset, leveraging architectural best practices in software design and implementation to guide teams toward successful productization.

The ideal candidate has strong experience designing and building scalable cloud solutions grounded in Domain-Driven Design (DDD) principles and Microservices architecture within a highly collaborative Agile environment. Deep expertise in the .NET technology stack is essential, as you will work closely with engineering leads to ensure accurate and high-quality implementation.

The Enterprise Application Architect is expected to continuously expand their knowledge of emerging Azure capabilities and proactively integrate relevant services into the platform. Strong communication skills are critical, with the ability to clearly articulate technical concepts and architectural decisions to both technical teams and leadership.

Responsibilities

• Design and develop highly scalable, cloud-native applications on the Azure platform, leveraging modern paradigms such as microservices, serverless computing, and containerization using core services including Azure Functions, AKS, Azure Service Bus, Stream Analytics, Azure IoT, and Azure SQL.
• Provide technical leadership to feature teams during design, support developers throughout implementation, and guide DevOps teams during deployment.
• Define and evolve cloud application architecture; assess technical feasibility; conduct product design reviews with engineering leads and team members.
• Develop deep domain expertise and identify, analyze, and resolve architectural weaknesses, including scalability bottlenecks, domain modeling issues, and application-level conflicts.
• Stay current with industry trends and emerging technologies, applying optimal design patterns to ensure highly available, resilient, and scalable solutions.

Requirements

• Bachelor’s degree in a technical field or 10+ years of equivalent professional or military experience preferred.
• Master’s degree in Computer Science, Engineering, or a related field preferred.
• Minimum seven (7) years of hands-on experience architecting, designing, and developing enterprise-scale, cloud-based software solutions within an Agile environment.
• Strong proficiency in designing and building applications using ASP.NET Core and modern cloud paradigms, including containers and serverless technologies.
• Minimum five (5) years of C#/.NET development experience with deep expertise in ASP.NET Core.
• Proven experience architecting highly available, horizontally scalable systems.
• Hands-on experience designing and managing release processes, code merging and promotion strategies, CI/CD pipelines, and configuration management.

Technical Expertise

• Domain-Driven Design (DDD), Event-Driven Architecture, distributed systems
• Microservices and Micro-frontend architectures
• ASP.NET Core, RESTful APIs, API Management
• Azure Functions, Logic Apps, Azure Integration Accounts, Azure Stream Analytics
• Container platforms and Azure Kubernetes Service (AKS)
• Identity and Access Management (Azure AD, Azure AD B2C, OAuth2)
• Azure SQL and NoSQL solutions, including Azure Table Storage
• Azure IoT, ARM templates, DevOps pipelines, CLI scripting (preferred)
• Cloud monitoring tools such as Azure Log Analytics, Azure Monitor, and Application Insights
• Enterprise Architect modeling (preferred)
• Experience with D365 CRM, React, and Progressive Web Applications (preferred)

We're looking for an FP&A Manager who can work independently and with an awesome team who aligns with the company’s growth goals. This is a hybrid role based out of Chicago.

Essential Responsibilities:

• Modernize Reporting Platform: Drive the evolution of our reporting infrastructure by adopting cutting-edge technologies and best practices. Collaborate with cross-functional teams to ensure data is easily accessible and insightful.
• Self-Service Analytics: Enable business units to become more self-sufficient in their analytics needs. Develop and implement self-service analytics solutions that empower users to create reports and dashboards independently.
• Data Governance: Enforce data integrity, accuracy and governance in financial and management reporting.

Requirements/Qualifications:

• 6+ years of financial experience with a focus on FP&A.
• Bachelor’s degree in Finance, Accounting or equivalent; CFA or relevant master’s degree preferred.
• Demonstrated experience in data analytics, reporting, and data governance.
• Proficiency in data analytics tools such as Power BI, Vena and Microsoft Excel skills required.
• Experience in preparing/presenting to C-Level executives. Ability to narrate complex financial and Operational details through professional visualization and presentation skill sets.
• Articulate actionable data-driven insights by leveraging BI tools and storytelling techniques.

We are currently seeking an Associate Director to drive our credit line increase credit strategy for our Card business. This is a high-impact role with significant senior-level exposure, requiring a strategic thinker who can combine deep credit expertise with innovative approaches that balance risk and growth.

The selected individual will shape and advance our CLI strategy through data-driven analysis and cross-functional leadership. This includes evaluating new data sources to strengthen decision-making, acting as customer for data science teams building new models, and partnering with product and acquisition teams to design and market a comprehensive end-to-end customer line strategy.

Key Responsibilities

• Develop and refine CLI policies to achieve both risk and growth objectives.
• Conduct deep credit analysis to identify trends, risks, and opportunities within the portfolio.
• Design and execute A/B testing strategies to evaluate new approaches and optimize outcomes.
• · Prepare and deliver presentations to executive leadership, providing clear insights and actionable recommendations.
• · Lead cross-functional teams (Product, Marketing, Technology, Operations) to bring strategies to life with great customer experience and flawless execution.
• · Develop and execute on business requirements to implement credit/business strategies to improve our lending portfolio
• · Effectively prioritize competing initiatives and share with senior leadership tradeoffs and constraints across various projects
• · Partner with business leaders across functional areas to define priorities, align resources, and communicate progress to executive leadership

Qualifications

• Bachelor's Degree in a quantitative discipline (Engineering, Statistics, Economics, Business Management, or Computer Science)
• 5+ years of experience in experience in consumer lending, driving informative risk decisions through analyses; Master's or PHD degrees may offset experience
• Advanced analytical skillset using tools such as SQL, SAS, R, or Python
• Innovative and capable of developing creative solutions to complex, data-driven problems

Location: Charlotte, NC // HYBRID (Tues. - Thurs.)

Who we Are

OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we've looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.

Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we're committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There's never been a better time to shine with OneMain.

Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That's why we've packed our comprehensive benefits package for full- and some part-timers with:

• Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances
• Up to 4% matching 401(k)
• Employee Stock Purchase Plan (10% share discount)
• Tuition reimbursement
• Paid time off (15 days' vacation per year, prorated based on start date)
• Paid sick leave as determined by state or local ordinance (prorated based on start date)
• 11 Paid holidays (4 floating holidays, prorated based on start date)
• Paid volunteer time (3 days per year, prorated based on start date)

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

A little about us...

Role: Azure DevOps Engineer

Location: Berkeley Heights, NJ

Job Description:

1. Extensive hands-on experience on GitHub Actions writing workflows in YAML using re-usable templates

2. Extensive hands-on experience with application CI/CD pipelines both for Azure and on-prem for different frameworks

3. Hands on experience with Azure DevOps and migration programs of CI/CD pipelines preferably from Azure DevOps to GitHub Actions

4. Proficiency in integrating and consuming REST APIs to achieve automation through scripting

5. Hands on experience with atleast 1 scripting language and has done out of box automations for platforms like People Soft, SharePoint, MDM etc

6. Hands on experience with CI/CD of databases

7. Good to have experience with infrastructure-as-code including ARM templates Terraform Azure CLI Azure PowerShell modules

8. Exposure to monitoring tools like ELK Prometheus Grafana

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.