Hays Code Jobs in Usa

Senior Platform Architect

Reports To: Director of Engineering

Department: Engineering

Location: Hybrid - Atlanta, GA

What makes MTech different:

Purpose-Driven Work – Build technology that solves real problems for the world

Casual & Collaborative – No corporate bureaucracy, direct access to senior leadership

Innovation-Focused – Healthy innovation pipeline expanding into new segments and technologies

Transparent & Data-Driven – Clear metrics, objectives, and visibility into company performance

Modern Development – Robust development tools, training programs, and technical excellence

Flexibility & Balance – Flexible work environment that values results over presenteeism

Job Summary

The Senior Platform Architect will lead the technical architecture, design, and modernization of large-scale, multi-tenant enterprise SaaS platforms built on Azure and the .NET stack. This role requires mastery of distributed systems, cloud-native design, and advanced engineering practices to deliver highly available, performant, and secure solutions for global consumer-facing SaaS and Agentic AI products.

Responsibilities and Duties

Architectural Design & Transformation

• Lead migration from monolithic systems to modular monolith and microservices architectures using domain-driven design, bounded contexts, and decomposition strategies.
• Design multi-tenant SaaS platforms with advanced tenant isolation, resource partitioning, and elastic scaling using Azure services.
• Define and enforce architectural standards for .NET (C#), TypeScript, Angular, SQL Server, and Azure, including dependency injection, SOLID principles, asynchronous programming, and reactive patterns.
• Design and implement distributed systems: service orchestration, API gateway management, IoT, edge computing, distributed transactions, eventual consistency, CQRS, and event sourcing.
• Architect for cloud-native resiliency: circuit breakers, bulkheads, retries, failover, geo-redundancy, and disaster recovery using Azure App Services, Azure Functions, Service Bus, Cosmos DB, and Azure SQL.
• Develop and maintain architecture documentation, reference models, and decision records using industry frameworks (TOGAF, Zachman, C4 Model).

Performance Engineering & Observability

• Establish and monitor platform SLOs (latency, throughput, error rates, availability) mapped to customer SLAs.
• Architect and implement advanced caching strategies, indexing, and query optimization for SQL Server and NoSQL stores in coordination with Senior Data Architect, Data Engineers, and Database Admins.
• Design and implement telemetry pipelines: distributed tracing (OpenTelemetry), structured logging, metrics collection, and real-time dashboards for system health and diagnostics.
• Conduct performance profiling, load testing, and capacity planning for backend services and frontend applications.

Automation, Quality, and DevOps

• Architect and implement CI/CD pipelines with automated build, test, security scanning, and deployment workflows.
• Integrate static code analysis, code coverage, and quality gates into the development lifecycle.
• Design and enforce automated testing strategies: unit, integration, contract, and end-to-end tests for backend and frontend components.
• Develop infrastructure as code (IaC) solutions for repeatable, scalable cloud provisioning.
• Create incident response playbooks for rollback, failover, and recovery, drive down MTTR and automate remediation where possible.

Security, Compliance, and Governance

• Architect for multi-tenant security: authentication/authorization (OAuth2, OpenID Connect), encryption at rest and in transit, secrets management, and compliance with SOC 1, SOC 2, GDPR, and other regulatory standards.
• Implement secure software development lifecycle (SSDLC) practices, threat modeling, and vulnerability management, including ZDR, DLP, No Model Training policies with AI Models.
• Ensure architectural governance and alignment with enterprise frameworks (TOGAF, Zachman), maintain architecture decision records, and participate in architecture review boards.

Technical Leadership & Collaboration

• Mentor engineering teams in advanced architectural concepts, distributed systems, cloud-native development, and best practices.
• Collaborate with Data Architect, DevOps, IT Services, Engineering and Product Management teams to ensure platform extensibility, integration, and support for complex business requirements.
• Evaluate and integrate AI/ML services, advanced analytics, and developer productivity tools to enhance platform capabilities.
• Champion a culture of technical excellence, continuous improvement, and innovation.

Required Experience & Skills

• Minimum 10+ years in software/platform engineering, with at least 8 years in platform architecture for enterprise SaaS on Azure and .NET tech stack.
• Proven experience architecting and delivering large-scale, multi-tenant SaaS platforms for global consumer-facing products.
• Deep expertise in .NET (C#), Azure cloud services (App Services, Functions, Service Bus, Cosmos DB, SQL Server), Azure Open AI, Microsoft Agent Framework, TypeScript, Angular, CI/CD, automated testing, and observability.
• Mastery of distributed systems, cloud-native patterns, event-driven architectures, and microservices.
• Demonstrated success in technical debt reduction, performance engineering, and architectural modernization.
• Experience with architectural frameworks (TOGAF, Zachman, C4 Model), architectural governance, and compliance.
• Strong understanding of platform security, regulatory compliance, and multi-tenant SaaS challenges.

Success Metrics (First 12 Months)

• Reduction in platform-related incidents/support tickets.
• Improvement in deployment speed and release velocity.
• Reduction in MTTR for platform incidents.
• Achievement of modularization milestones (monolith decomposition, service rollout, platform observability in production).
• Increase in automated test coverage, code quality, and system performance metrics.

Preferred Skills & Certifications

• TOGAF, Zachman, or similar architecture certification.
• Advanced knowledge of event sourcing, CQRS, service mesh, and cloud-native security.
• Familiarity with semantic technologies, knowledge graphs, and AI/ML integration.
• Hands-on experience with infrastructure as code, automated testing tools, and modern DevOps practices.
• Strong background in platform security, compliance, and multi-tenant SaaS challenges.

EEO Statement

Integrated into our shared values is MTech’s commitment to diversity and equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. MTech aims to maintain a global inclusive workplace where every person is regarded fairly, appreciated for their uniqueness, advanced according to their accomplishments, and encouraged to fulfill their highest potential. We

Job Title: Sr. Backend Developer

Location: Kansas City, MO (Hybrid)

Duration: 6 month Contract to Hire

Job Description

• Provides technical expertise to design, develop and maintain software applications and products that support business applications.

• In addition, provides lead role for day-to-day functional tasks in the team, developer support and maintaining the development environment.

• Uses tools, languages, coding standards and best practices to develop new product features and maintain year over year product functionality and enhancements.

• Works closely with the QA, UX and other related teams to ensure consistent understanding of requirements and approach.

• In addition, assists in planning and implementation of a strategic direction for the product.

• Designs, develops and maintains complex software components

• Creates and maintains documentation of design approaches

• Creates and maintains documentation on internal architecture of the system. Leads architectural changes in the system.

• Identifies product design features to support scalability, usability and better performance.

• Assists and drives technical design and code reviews for all new enhancements and maintenance work delivered by the development team.

• Understands complex business and functional requirements and produces technical specifications and product requirements.

• Establishes best practices in coding and development within the team. Ensures consistency of the use of best practices within the team.

• Designs and develops reusable code components. Positively and proactively leads and influences the team.

• Provides advice and guidance to associate, senior and software engineer roles in the effective use of coding principles and best practices. Develops reusable code components.

• Creates, maintains and executes unit test and alpha test plans

• Maintains development environment and creates build.

• Maintains and improves current knowledge on the latest technologies relevant to the role regarding algorithms, language, design methodology, third-party development tools, application platforms, hardware compatibility and operating systems.

• Mentors and coaches other team members on the latest technological advances within the current technology used. Leads by example.

Required Skills:

• Bachelor’s degree in a related field or the equivalent through a combination of education and related work experience.

Technical Stack

Angular 13+

.NET 5+

Azure Services

Azure App Service

Azure Storage

Azure Logi Apps

Azure Containers

Azure Functions

Apply here: (s) Ruru Hoong, Anya Shchetkina, and Jimin Nam (MIT Sloan) are seeking motivated and detail-oriented individuals to work as full-time pre-doctoral researchers. The position involves close collaboration with 1-2 faculty members (depending on research interests) on empirical research projects related to digital technologies, advertising, and AI. You will contribute at all stages of the research process — from data collection and cleaning to analysis and writing. Some structural modelling or applied ML methods development may be involved if of interest.

Active and planned research projects include: 

• The design of information for human-AI collaboration
• The impact of generative AI on worker productivity, task allocation, and organizational design
• The design of AI-driven hiring tools, such as optimizing voice-AI interviews for candidate screening
• Youth, social media, and smartphones
• The effects of AI on education and learning, including adaptive AI tutoring and path dependence in AI product rollout
• AI and wellbeing, including how generative AI tools affect individual and worker wellbeing
• Household and business surveys on electricity in Ghana
• Mechanization and preferences - marketing in 19th Century tea
• Measuring advertising effectiveness with aggregate data
• Experimental design under privacy constraints
• Identifying limits of targeting and personalization effectiveness 

Methods used across these projects include randomized controlled trials, experiments, machine learning, natural language processing, large language models, probabilistic ML, and adaptive learning (bandits and Bayesian optimization).

A core goal of the position is to prepare you to apply to and succeed in PhD programs in marketing, economics, management, operations or related fields. We will work together to develop your research skills — beginning with careful research workflow and attention to detail, and progressing toward more independent analysis over time. We will also collaborate on other elements of your preparation, including independent research, letters of recommendation, and coursework planning. You will be encouraged to attend seminars and engage with the broader research community at MIT Sloan and across MIT.

You do not need to arrive with a polished skill set; the purpose of a predoc is to also help you develop that training. What matters most is a genuine interest in these research questions, a willingness to learn, and the determination to see difficult problems through. 

Principal responsibilities

• Collect, clean, and manage large-scale quantitative and qualitative datasets across active research projects related to marketing, digital economics, and AI
• Conduct empirical analysis using methods such as causal inference, machine learning, NLP, and experimental design
• Contribute to all stages of the research process — from literature review and data collection through analysis and writing
• Design and implement surveys and experiments using tools such as Qualtrics and oTree
• Write, review, and maintain reproducible research code in Python, R, or Stata, including responsible use of AI coding tools
• Other duties as needed

Qualifications

• A Bachelor's degree with strong grades, ideally in a quantitative field
• Comfort with or eagerness to learn programming (Python, R, or Stata) and experimental tools (Qualtrics, oTree)
• Willingness to experiment with AI coding tools (e.g., Claude, Cursor, Copilot) while maintaining a healthy skepticism — you should be prepared to understand and review every line of code these tools generate
• A long-term interest in pursuing a PhD in marketing, economics, management, operations, or a related field.
• A familiarity with causal inference or Bayesian statistics is welcome but not required
• Prior research experience is a plus but not a prerequisite
• Careful attention to detail — the kind of person who double-checks a merge and notices when a number doesn't look right
• Curiosity, initiative, and the persistence to work through open-ended problems
• The ability to work independently
• Visa sponsoring will not be available for this position. Candidates should have authorization to work in the US for the duration of the appointment. 

The position is located at the MIT Sloan School of Management in Cambridge, Massachusetts. The default start date is July 1, 2026, with some flexibility to begin earlier or later. The position typically lasts 1-2 years prior to entering a PhD program. Salary is competitive with other pre-doctoral research positions (50-63k). Applications will be reviewed on a rolling basis.

Application Instructions

If you are interested, please submit the following:

• A one-page cover letter describing your background, research interests, coding experience, and future goals. Please indicate which of the research areas listed above interest you most and why.
• A CV
• A transcript
• A writing sample — a research paper, term paper, or thesis that reflects your analytical abilities
• (optional) A code sample you have written, with a brief summary of what it does and the outputs it produces
• The names and contact information of two references
• Applications will be reviewed on a rolling basis starting early March until the position(s) are filled.

** To comply with regulations by the American with Disabilities Act (ADA), the principal duties in position descriptions must be essential to the job. To identify essential functions, focus on the purpose and the result of the duties rather than the manner in which they are performed. The following definition applies: a job function is essential if removal of that function would fundamentally change the job.

Southern California | Full-Time | Engineering + Field Integration

$130K – $160K DOE + Benefits

Confidential Client – Wireless Infrastructure & Public Safety Systems

We are seeking a Design & Compliance Engineer to lead in-building DAS and ERRCS engineering with a primary focus on California Title 24 and IFC Section 510 compliance. This is not just a commissioning role.

This position owns the technical integrity of the system from design validation through AHJ approval.

The ideal candidate ensures systems meet public safety code requirements, recommends compliant product solutions, prepares engineering submittals, and value engineers projects while preserving performance and inspection approval.

Primary Role Overview

This engineer serves as the technical authority on:

• Code-compliant system design
• Product selection & specification
• AHJ coordination
• Submittal preparation
• Coverage validation
• Value engineering
• You ensure systems are engineered correctly the first time and pass inspection.

Core Responsibilities

1. Engineering & Compliance Oversight

• Review and validate DAS / ERRCS RF designs for code compliance

• Ensure systems meet CA Title 24, California Fire Code (IFC 510), and local AHJ standards

• Validate minimum signal strength (-95 dBm or jurisdictional requirement)

• Ensure grid testing percentages meet jurisdictional coverage thresholds

• Confirm critical area coverage (stairwells, fire command centers, elevator lobbies, etc.)

• Interpret fire department amendments and jurisdiction-specific variations

• Interface directly with AHJs to resolve technical requirements

2. Product Specification & Recommendation

• Recommend compliant DAS / ERRCS equipment based on project conditions

• Evaluate OEM solutions (JMA, SOLiD, ADRF, CommScope, etc.)

• Ensure battery backup, monitoring, fiber/coax pathways, and survivability requirements meet code

• Prepare detailed Bill of Materials (BOM)

• Provide technical guidance to PMs and installation teams

3. Submittals & Documentation

• Prepare engineering submittals for AHJ review

• Generate RF design documentation using iBwave

• Provide compliance letters and engineering narratives

• Support permit submission packages

• Coordinate redlines and design revisions

• Produce acceptance testing documentation

4. Value Engineering

• Identify cost-efficient alternatives without compromising compliance

• Optimize amplifier placement and antenna layout

• Reduce overdesign while maintaining inspection success

• Provide technical trade-off analysis when necessary

5. Field Validation & Commissioning Support

• Conduct RF site surveys and grid testing

• Oversee commissioning and optimization

• Support final acceptance inspections

• Coordinate annual testing documentation as required

Required Qualifications

• 3-5+ years DAS / ERRCS / RF systems experience

• Strong understanding of wireless infrastructure and RF propagation

• Experience with commissioning, optimization, and troubleshooting

• Ability to interpret construction drawings and technical documentation

• Strong communication skills and field professionalism

• Valid driver’s license & travel flexibility

Preferred Qualifications

• iBwave certification

• FCC GROL License

• NICET - In-Building Public Safety Communications

• DAS OEM Certifications (JMA, SOLiD, CommScope, ADRF, etc.)

• OSHA 10/30

• Fiber & coaxial termination/testing experience

What Makes Someone Successful Here

• Understands California compliance-driven DAS deployments

• Comfortable working between engineering and field operations

• Able to work directly with inspectors, fire officials, and project stakeholders

• Strong troubleshooting mindset with attention to detail

• Executes with accountability and professionalism

Why This Role

• Work on high-profile commercial & public safety projects

• Strong engineering support and stable project pipeline

• High-demand niche skillset (ERRCS / Title 24 expertise)

• Competitive salary + full benefits

Interested?

This is a confidential search. Apply or comment DAS on the post and we will reach out for more details and to discuss fit.

Are you interested in engineering, construction, or building design and looking to grow into a technical career?

PFS TECO is hiring an Entry-Level MOD Plan Reviewer to join our Manufactured Structures Division in Bloomsburg, PA. In this role, you will learn how to review modular building construction plans and ensure they meet national building code requirements.

This position is ideal for someone who enjoys solving technical problems, working with construction drawings, and building specialized expertise in the modular construction industry.

What You’ll Do

• Review modular residential and commercial construction plans

• Learn to apply building codes

• Identify code compliance issues and assist with plan review reports

• Work with engineers, inspectors, and manufacturers across the country

• Develop technical expertise and pursue ICC certifications

What We’re Looking For

• Interest in construction, engineering, architecture, or building design

• Strong attention to detail and analytical thinking

• Ability to review technical drawings and documents

• Desire to learn and grow in a technical field

Why Join PFS TECO

• Training and mentorship from experienced code professionals

• Career growth through International Code Council certifications

• Work with a nationally recognized certification organization

• Be part of NFPA Global Solutions, advancing safety in the built environment

Apply Now! Modular Plan Reviewer

Location: In-person – Bloomsburg, PA

Job Description

We are seeking a detail-oriented Email Developer to handle the technical build and deployment of email campaigns. This role focuses on the hands-on development and implementation of emails using Salesforce Marketing Automation, working from client-provided specifications and creative assets.

Key Responsibilities

Email Development

- Code and build responsive email templates in Salesforce Marketing Automation based on client-supplied specifications

- Develop email campaigns using HTML/CSS and platform-specific scripting languages

- Implement dynamic content, personalization tokens, and conditional logic as specified

- Configure tracking parameters, links, and UTM codes according to requirements

*Data Management

- Import and manage subscriber data from client-provided databases into Salesforce Marketing Automation

- Perform data segmentation and list creation based on client criteria

- Ensure data integrity and compliance with email marketing regulations

- Execute data cleansing and deduplication processes as needed

Campaign Deployment

- Schedule and deploy email campaigns according to client timelines

- Conduct pre-deployment testing including rendering tests across email clients and devices

- Monitor campaign deployment for technical issues and resolve any sending errors

- Execute A/B tests as directed by client specifications

Technical Quality Assurance

- Perform thorough QA checks on all email code before deployment

- Debug HTML/CSS issues and ensure cross-client compatibility

- Verify correct data mapping and personalization tokens

- Validate that emails render properly across all major email clients and devices

Technical Documentation

- Generate post-deployment technical reports on delivery rates, bounces, and technical performance

- Document email build procedures and technical configurations

- Maintain deployment schedules and technical specifications

- Create and update development guidelines and code standards

 Required Qualifications

- 2+ years of hands-on email development experience with Salesforce Marketing Cloud or similar platforms

- Expert-level HTML/CSS skills specifically for email development

- Proficiency in AMPscript, SQL, or similar scripting languages for dynamic content

- Experience with responsive email design and mobile optimization

- Strong understanding of email client rendering quirks and workarounds

- Experience with data imports, list management, and segmentation

- Knowledge of email authentication protocols (SPF, DKIM, DMARC)

- Strong attention to detail and ability to follow technical specifications precisely

 Preferred Qualifications

- Salesforce Marketing Cloud Email Specialist or Developer certification

- Experience with email automation workflows and journey builders

- Knowledge of JavaScript for interactive email elements

- Familiarity with API integrations for data transfer

- Experience with version control systems (Git)

- Understanding of CAN-SPAM, GDPR, and other email compliance requirements

This position requires strong technical development skills and meticulous attention to code quality, with the ability to accurately build and deploy emails according to client specifications. The ideal candidate will be process-oriented and comfortable working with detailed technical requirements and tight deadlines. Preference will be given to candidates that can work onsite at our Moorestown, NJ location.

Currently seeking multiple Full Stack Developers in support of the of U.S. Citizenship and Immigration Services (USCIS) Engineering Support for Identity Services (ESIS), this individual will support Agile Application Development technologies and capabilities in the areas of software development, systems engineering, integration, and test of software applications and infrastructure. Will be skilled with front-end, back-end, and database development. Design and implement full stack cloud solutions to include IaaS, PaaS, and SaaS. Design and deploy computing infrastructure, physical or virtual machines and other resources like virtual-machine disk image library, block and file-based storage, firewalls, load balancers, IP addresses, virtual local area networks. Implement cloud-based platform services for AWS. Implement cloud-based software as service for AWS. Perform DevOps functions.

Key Skills:

• 10+ years of experience with full stack engineering with proficiency in database development/integration as well as server and client application development/integration
• Software developing experience using Python and Java Spring framework
• Experience with other software technologies such as Web Services (SOAP/REST), React/Angular, VS Code, SQL, Gradle, and/or Git
• AWS experience required with experience deploying enterprise applications in AWS
• Experience with CI/CD environment tools such as Docker, Jenkins, Ansible, Kubernetes

• Software development with Python, Java, React, and various scripting languages
• Design data models and web APIs and creation of software tasks from system requirements
• Perform requirements analysis, design, development, unit, and integration testing of software, troubleshooting and debugging of the system
• Immediate responsibilities will include enhancing and maintaining the existing system as well as design, development, and documentation of new features
• Create Git Releases, pull request and code reviews
• Query logs utilizing Splunk and will monitor dashboarding utilizing New Relic
• Usage of Atlassian Tools for day to day tasks within the Scrum process
• Implement web services, data persistence access features and external interfaces
• Partner closely with front-end and database engineers to ensure features are developed holistically
• Follow Agile software development methodology and team architecture standards.
• Will need to be able to read Architecture Diagrams
• Perform test service to improve code coverage, mocking services, test driven development and unit testing
• Will modify Helm Charts, Jenkinsfiles, and Dockerfiles

• MUST BE US CITIZEN
• Bachelor's degree required
• Must be able to obtain and maintain a Public Trust security clearance
• 10+ years expereince in Software Engineering
• Must have experience in Python and Java Spring Framework (Boot, Batch, Data, Security)
• Must have experience with other software technologies such as Web Services (SOAP/REST), React/Angular, VS Code, SQL, Gradle, and/or Git
• Experience with design, development, enhancement, troubleshooting and debugging of web applications
• Must have experience in AWS cloud environment and with CI/CD tools (ie. Docker, Jenkins, Kubernetes) for deployment processes, monitoring production environments, and modifying docker/Jenkins files and helm charts
• Experience with scripting languages (Python, Bash, Powershell, Perl) is not required but nice to have
• Understanding of the concept of branching and utilizing technological tools such as Git, VS Code, and/or Rancher to perform
• Experience with creating Git releases, creating pull requests, and reviewing code
• Experience monitoring dashboards utilizing New Relic
• Experience with Splunk to query logs
• Experience with Junit testing preferred
• Experience creating release instructions utilizing JIRA
• Experience developing and integrating complex software systems through the full SDLC
• Experience with Agile Scrum
• Must have strong written and verbal communication skills

About Keyfactor

Our mission is to build a connected society, rooted in trust, with identity-first security for every machine and human. Keyfactor helps organizations move fast to establish digital trust at scale - and then maintain it. With decades of cybersecurity experience, Keyfactor is trusted by more than 1,500 companiesacross the globe. We are proud to continually earn recognition as a Best Place to Work, and we achieve that through our amazing people who cultivate our culture as we grow. We hope you will trust your future with Keyfactor!

Title: Associate Cloud Engineer

Location: United States; Remote, EST or CST (hybrid if local to Cleveland, OH or Atlanta, GA)

Experience: Associate

Job Function: Cloud Operations

Employment Type: Full-Time

Industry: Computer and Network Security

About the position

The Associate Cloud Engineer supports the operation and maintenance of the organization's cloud infrastructure by executing defined tasks and following established procedures and security best practices.

This role contributes to day-to-day operational activities, including infrastructure deployment, monitoring, patching, and incident triage, while building hands-on experience in a production cloud environment.

Applicants must reside in the United States. US Citizenship required.

Responsibilities

Infrastructure as Code (IaC)

• 
  
• Has hands-on exposure to Infrastructure as Code toolsets used to deploy cloud infrastructure
  
• Works with low-complexity infrastructure code, including writing or enhancing existing definitions
  
• Seeks guidance from more senior engineers for non-routine work
  
• All changes are reviewed prior to implementation
  

Configuration

• 
  
• Works with service management and configuration tools to support server configuration
  
• Has exposure to low-complexity configuration code and established configuration patterns
  
• Non-routine configuration changes require guidance and review from senior team members
  

Task Automation

• 
  
• Applies foundational scripting knowledge using tools such as REST APIs, Azure Automation Runbooks, Azure Function Apps, and DevOps pipelines
  
• Supports low-complexity automation tasks
  
• All automation work is reviewed before implementation
  

Networking

• 
  
• Applies foundational knowledge of general and cloud networking concepts to support a secure hosting environment
  
• Implements networking changes that have been reviewed and approved
  

Monitoring & Alerting

• 
  
• Works with Azure Monitor and related alerting capabilities, including alert rules, action groups, and log analytics
  
• Supports monitoring configuration changes under guidance
  

Patch Management

• 
  
• Participates in patch management activities and routine maintenance efforts
  
• Troubleshoots common patching issues and escalates complex cases as needed
  

PKI Knowledge

• 
  
• Has limited exposure to PKI concepts and the Cloud Engineering role in supporting PKI operations
  
• Performs routine PKI tasks using documented procedures
  
• All PKI-related work is reviewed prior to implementation
  

Product Knowledge

• 
  
• Has exposure toKeyfactor'shosted products and core functionality
  
• Deploys and configures products to a baseline level using documented instructions
  
• Performslow-complexitytroubleshooting with review before changes are applied
  

Minimum Qualifications, Education, and Skills

• 
  
• High School Diploma orequivalent experience
  
• Up to 2 years of related work experience and general knowledge within their functional area
  
• Working knowledge of Microsoft Azure, including native services and tooling
  
• Hands-onexperience with Infrastructure as Code (IaC) and configuration management tools
  
• PowerShell scripting (medium complexity)
  
• Hands-on experience with Windows systems administration, including Windows Roles & Features and Active Directory
  
• Problem-solving skills (low to moderate complexity), with the ability to troubleshoot low to moderately complex issues
  
• Effectivewritten and verbal communication skills with a professional demeanor
  
• Organizational, time-management, and attention-to-detail skills
  
• Ability to collaborate effectively within a team environment
  
• Self-motivated with the ability to complete projectsin a timely manner
  
• Able to thrive in a fast-paced,deadline drivenenvironment. #LI-NA1
  

Compensation

Salary will be commensurate with experience.

Culture, Career Opportunities and Benefits

We build teams that continually strive to get better than the day before. You will be challenged daily and given opportunities to grow personally and professionally. We balance autonomy and structure to create an entrepreneurial environment to spur creativity and new ideas.

Here are just some of the initiatives that make our culture special:

• 
  
• Second Fridays (a company-wide day off on the second Friday of every month minus November and December of 2025 due to the Holiday schedule). Please note that this benefit is subject to change.
  
• Comprehensive benefit coverage globally.
  
• Generous paid parental leave globally.
  
• Competitive time off globally.
  
• Dedicated employee-focused ambassadors via Key Contributors & Culture Committees.
  
• DIVERSE Commitment, a call to action for a more inclusive and diverse future in business, society, and technology.
  
• The Keyfactor Alliance Program to support DEIB efforts.
  
• Wellbeing resources, wellness allowance, mindfulness app free membership, Wellness Wednesdays.
  
• Global Volunteer Day, company non-profit matching, and 3 volunteer days off.
  
• Monthly Talent development and Cross Functional meetings to support professional development.
  
• Regular All Hands meetings - followed by group gatherings.
  

Our Core Values

Our core values are extremely important to how we run our business and what we look for in every team member:

Trust is paramount.

We deliver security software and solutions where trust and openness are of the highest importance for our customers. We are honest and a trusted partner in every aspect of business.

Customers are core.

We strategize, operate, and execute through a customer-centric view. We prioritize the security interests of our customers, and we act as if their data were our own.

Innovation never stops, it only accelerates.

The speed of change is accelerating. We are committed, through investment and focus, to stay ahead of the innovation curve.

We deliver with agility.

We thrive in high-paced and continually changing environments. We navigate through newly added variables, adjust accordingly, while driving towards our strategic goals.

United by respect.

Respect for all is what unites us. We promote diversity, inclusivity, equity, and acting with empathy and openness, both in our business and in our communities.

Teams make "it" happen.

Vision and goals are not individually achievable - they require teamwork. We pride ourselves in operating as a cohesive team, creating promoters and partners, and winning as one.

Keyfactor is a proud equal opportunity employer including but not limited to veterans and individuals with disabilities.

REASONABLE ACCOMMODATION: Applicants with disabilities may contact a member of Keyfactor's People team via and/or telephone at to request and arrange for accommodations at any time.

Keyfactor Privacy Notice

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

The Principal AI Security Engineer is a senior technical leader on the AI Security team, responsible for designing, building, and operating security controls for generative AI and Machine Learning (ML) systems across their full lifecycle: data, training, deployment, and runtime.

This role is deeply hands-on: you will work directly with data science, MLOps, platform, devops and application teams to secure LLMs, RAG systems, AI agents, and AI-enabled products. You will also lead the intake and review process for AI use cases, helping the organization adopt AI safely and at scale in a highly regulated environment.

The ideal candidate combines:

* Strong security engineering and cloud architecture experience

* Deep, current familiarity with modern AI/LLM tooling and practices

* Familiar and can cover basic coding within the AI tooling space (python, others)

* The ability to communicate clearly with senior leadership and influence enterprise-wide strategy

Essential Duties and Responsibilities

Secure AI / ML platforms and workloads

* Lead security architecture and threat modeling for AI/ML systems, including LLMs, RAG pipelines, agents, and AI-powered applications.

* Design and implement security controls as code (services, libraries, infrastructure-as-code, policy-as-code) for AI/ML platforms and workloads.

* Lead and help setup the basic infrastructure needed to safely rollout AI - MCPs, LLMs, pipelines, Test harness for AI (ie: harmbench), intake automation.

* Partner with data science and MLOps teams to harden:

• Data ingestion and labeling
• Training and fine-tuning pipelines
• Model registries and deployment workflows
• Inference APIs, agents, and integrations

* Define and champion secure reference architectures and patterns for common AI use cases and focus on composable architecture.

AI use case intake & governance

* Design, implement, and continuously improve the intake, triage, and review process for AI/ML and generative AI use cases across the organization.

* Build and automate self-service workflows (e.g., request forms, risk questionnaires, routing, approvals) that balance speed of delivery with security, privacy, and compliance with a focus on risk scoring and scorecards.

* Define risk-based criteria for AI use case approval, including data sensitivity, model and vendor selection, integration patterns, and control requirements; this will involve in re-mapping the complete end to end lifecycle.

* Review proposed AI solutions from concept through deployment, providing clear, actionable guidance to product and engineering teams.

* Maintain visibility into the AI use case portfolio and risk posture, and provide regular reporting to leadership and governance bodies.

Monitoring, detection & assurance

* Establish and maintain monitoring and detection for AI-specific threats, such as:

• Prompt injection and jailbreak attempts
• Data exfiltration and sensitive data exposure
• Misuse or abuse of AI tools and agents
• Anomalous model or pipeline behavior

* Integrate AI/ML systems with existing logging, SIEM, and incident response processes.

* Lead or participate in AI-focused security assessments, red-teaming, and adversarial testing; drive remediation and verification.

Strategy, leadership & enablement

* Help define and evolve the organization's AI security strategy, standards, and roadmap in partnership with Security, Engineering, Data, Legal, Privacy, and Risk.

* Translate global privacy, data sovereignty, and regulatory requirements into practical technical controls for AI workloads across multiple cloud environments.

* Prepare and deliver executive-ready briefings and narratives on AI security risks, controls, and progress.

* Mentor other engineers and serve as THE internal subject matter expert on AI/ML security, generative AI, and LLM-based systems.

Qualifications Expected for Position

• 7+ years of experience in information security, security engineering, or related fields, including significant time building and securing production systems.
• 3+ years of hands-on experience with AI/ML technologies (such as LLMs, RAG, model training/fine-tuning, MLOps, or AI-powered products), including implementation of security controls or guardrails for these systems.
• Strong programming skills in one or more relevant languages (e.g., Python, TypeScript/JavaScript, Go, or similar), with a track record of contributing to production-grade tools, services, or libraries.
• Deep understanding of cloud security architecture and controls on at least one major cloud platform (AWS, Azure, or GCP), including identity, networking, secrets management, data protection, logging, and monitoring.
• Experience designing and implementing controls in a highly regulated environment; healthcare or financial services preferred.
• Demonstrated ability to lead complex technical initiatives across multiple teams, from problem definition through design, implementation, and adoption.
• Proven ability to communicate complex technical and risk topics clearly to both engineering teams and senior leadership.

Preferred Qualifications:

* Practical experience securing LLM- and genAI-based systems, such as:

• RAG architectures backed by internal data
• AI assistants, copilots, or agents integrated with enterprise tools
• Fine-tuned models and model hosting platforms

* Experience with AI IDE tools

• cursor, windsurfer, others
• Knows the security problems and has practical solutions that balances innovation with innovation.

* Familiarity with AI/ML frameworks and ecosystems (e.g., TensorFlow, PyTorch, Scikit-learn) and/or modern LLM development stacks and IDEs (e.g., API-based LLMs, self-hosted models, AI-enhanced coding tools).

* Experience with:

• Security for data pipelines, feature stores, and model registries
• Detection engineering or SIEM tuning for AI-related events
• Red-teaming or adversarial testing of AI systems

* Evidence of ongoing engagement with AI and security (such as side projects, open-source contributions, lab environments, publications, or conference talks).

* Familiarity with emerging AI security and safety standards and forward-looking industry guidance and horizon reports.

* Relevant certifications (e.g., cloud security, security engineering, or governance) are a plus.

* Strong analytical and problem-solving skills, with the ability to operate effectively in a fast-evolving technical and regulatory landscape.

* High level of integrity and ethical conduct.

This role is a fit if you:

* Regularly build, break, or secure AI/ML or LLM-based systems in your day-to-day work or personal projects.

* Are comfortable reading and writing code, experimenting with new AI tools, and wiring them into real systems.

* Enjoy turning ambiguous AI ideas and risks into concrete architectures, controls, and automation.

* Can move fluidly between deep technical discussions and concise, executive-level explanations.

This role is not a fit if you:

* Prefer to focus solely on policy, governance, or vendor assessments without hands-on technical work.

* Do not actively engage with current AI/LLM tooling, research, and emerging practices.

* "Describe a specific LLM or AI/ML system you have secured. What were the main risks and what controls did you implement?"

* "What AI tools, libraries, or environments do you actively use or experiment with today (work or personal), and for what?"

* "What do you see as the most important AI security or safety developments on the horizon over the next few years, and why?"

The base salary range for this position is$180,000 - $190,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here: Teladoc Health Benefits 2026.Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time. All time off must be approved by your manager prior to use. You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually. This applies to full-time positions only. If you are applying for a part-time role, your recruiter can provide additional details.

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

• Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission.

• Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

• Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

• Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

• Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

• Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn.

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity/expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as: Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.