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System Security Engineer will be essential in safeguarding the client’s critical systems and infrastructure by spearheading the design, implementation, and management of comprehensive security strategies.
In this role, the Sr.
System Security Engineer will be the hands-on and the sole System Security Engineer which demands a self-motivated and highly proactive individual capable of proactively ensuring and maintaining system and security integrity of client systems by engaging and driving efforts forward in an independent manner.
leverage deep technical expertise to build and secure robust systems that protect against evolving threats.
Day-to-day responsibilities includes the development of security solutions, ensuring the hardening of network, Linux-based, and Windows system.
strong problem-solving abilities enabling the ability to diagnose complex security issues and deliver timely, effective solutions.
securing cloud environments such as AWS, Azure, or GCP, as well as containerized platforms like Docker and Kubernetes, and ensuring that all systems meet DISA-STIG security standards work directly with other security team members in ensuring uptime and compliance of the various security tools and processes.
Exceptional analytical and problem-solving skills is required to diagnose complex security issues and deliver robust, timely solutions.
Resource must also have excellent verbal and written communication skills to effectively report security findings, communicate risk, and collaborate with diverse teams and leadership .
Minimum Qualifications Bachelor’s Degree in Computer Science, Engineering, or other Engineering or Technical discipline or equivalent relevant experience.
Master’s Degree preferred.
10+ years of experience in information systems security Candidates must be US citizens with ability to pass a federal government background investigation for access to sensitive information.
No dual citizenship allowed per agency requirements.
Other Job Specific Skills Excellent verbal and written communication skills.
Deep, hands-on experience with Linux operating systems (e.g., RHEL, CentOS, Ubuntu), including system internals, administration, Linux template hardening, and troubleshooting.
Hands-on Microsoft Windows knowledge such as Active Directory Security, System Hardening & Configuration, Windows Security Stack, and Logging and Monitoring (Windows Event Logs, Sysmon, and integration with SIEM systems for threat detection).
Hands-on experience with Infrastructure Hardening and Configuration of on premise and cloud based servers, network devices, and hypervisors.
Includes engineering and maintenance of secure networks through use of firewalls, VLAN segmentation, and ACLs configuration.
Advanced proficiency in scripting languages such as Python and Bash to automate tasks and build security tools.
Experience securing cloud environments (e.g., AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.
Strong understanding of network security, protocols (TCP/IP), firewalls, encryption, and authentication systems.
Proficiency with industry-standard security frameworks like the PCI-DSS, SOC 2, NIST, ISO etc.
Proficiency with tools for vulnerability scanning (Tenable Nessus), network tools (Cisco FMC, Extrahop,etc) , SIEM (Splunk), EDR (Trellix) and other various toolsets.
#cjpost Deep, hands-on experience with Linux operating systems (e.g., RHEL, CentOS, Ubuntu), including system internals, administration, Linux template hardening, and troubleshooting.
Hands-on Microsoft Windows knowledge such as Active Directory Security, System Hardening & Configuration, Windows Security Stack, and Logging and Monitoring (Windows Event Logs, Sysmon, and integration with SIEM systems for threat detection).
Hands-on experience with Infrastructure Hardening and Configuration of on premise and cloud based servers, network devices, and hypervisors.
Includes engineering and maintenance of secure networks through use of firewalls, VLAN segmentation, and ACLs configuration.
Advanced proficiency in scripting languages such as Python and Bash to automate tasks and build security tools.
Experience securing cloud environments (e.g., AWS, Azure, GCP) and containerization technologies like Docker and Kubernetes.
Strong understanding of network security, protocols (TCP/IP), firewalls, encryption, and authentication systems.
Proficiency with industry-standard security frameworks like the PCI-DSS, SOC 2, NIST, ISO etc.
Proficiency with tools for vulnerability scanning (Tenable Nessus), network tools (Cisco FMC, Extrahop,etc) , SIEM (Splunk), EDR (Trellix) and other various toolsets.
Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations.
Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.
Visit us at to learn more and view our open positions.
Please apply or call one of us to learn more For further inquiries regarding the following opportunity, please contact our Talent Specialist, Lavanya at (224) 369-0873 Title: Cybersecurity Specialist Duration: 6 Months with a strong possibility of extension or full-time Location: St.
Paul, MN or Abbott Park (North Chicago) Travel: Very limited, possibly 1 2 times during the 6 month period, likely none.
Work Schedule: 8 hours/day, 5 days/week Only W2 candidates are eligible for this position.
Third-party or C2C candidates will not be considered Role Overview The role has a strong focus on medical devices, IoT/sensor-based products, mobile applications, and backend systems, including building security standards, guidance, dashboards, and validating the effectiveness of cybersecurity controls.
Description: As a Senior Cyber Specialist Digital Enablement, you will play an important role in ensuring that Client product technologies leveraged by healthcare providers and consumers are secure-by-design.
These technologies range from regulated medical devices to e-commerce and customer loyalty solutions.
You will evaluate the cybersecurity posture of new and existing product technologies, identify risks, recommend mitigation strategies, and ensure timely remediation and closure.
You will bring deep expertise in security risks, controls, mitigations, and global cybersecurity standards to Client product teams.
This role is expert-driven and guidance-focused, requiring strong technical depth, excellent communication skills, and a proven ability to navigate a large, global environment.
You will partner closely with internal product owners, developers, engineers, security architects, and external collaborators to evaluate solutions, strengthen governance, and guide secure product development.
Your work will directly contribute to the delivery of scalable, compliant, and secure product technologies, cloud services, and connected applications.
The role focuses on consultative responsibilities rather than hands on development or cybersecurity operations.
Primary Responsibilities Develop and maintain security guidance documentation, including standards and frameworks Conduct full-stack architecture reviews of products and platforms, including consumer identity platforms Perform cybersecurity threat modeling and prepare outputs for review by internal and external stakeholders Establish, document, and monitor compliance with risk based and regulatory-informed cybersecurity requirements for individual products Collaborate with product designers and developers to ensure security considerations are integrated early into product design discussions Validate the security of product software supply chains and product deployment pipelines Develop risk mitigation strategies and recommend appropriate security controls Assess and prioritize product security risks through detailed evaluation of vulnerability assessments and penetration testing results Evaluate the effectiveness of product cybersecurity controls Identify and effectively communicate cyber risk trends Ensure risk management plans are clearly documented, actionable, and accurately reflect the organization's risk tolerance Track and ensure product compliance with defined vulnerability remediation SLAs.
Participate in governance forums, architecture reviews, and technical discussions as a representative of Product Cybersecurity Required: At least 5 years of experience but typically 7 plus years of experience is required.
Possess expertise in valuing and implementing industry standards such as the ISO 27001/2, SOC 2, HITRUST and FedRAMP Information Security standard and the ISO 22301 Business Continuity Standard.
Experience with implementation and operational use of GRC toolsets (Governance Risk and Compliance).
Possess CISSP certification (or similar) and be knowledge of national and international regulatory compliances and frameworks such as ISO, SOX, BASEL II, EU DPD, HIPAA, and PCI DSS.
Ability to influence policy/standards for emerging tech (AI, quantum, cloud).
About You 7 years of experience in cybersecurity or technology architecture, assessment, or consulting with a focus on the development of secure digital product technologies Experience conducting risk assessments, control assessments, and governance reporting Ability to clearly articulate cybersecurity risks and recommended mitigations to product development teams Strong understanding of modern technology stacks, including cloud native architectures and API-driven services Understanding of core concepts related to identity and access management, secure software development, network security, and cryptography Familiar with device to device, service to service, and consumer identity and access management practices Familiarity with modern phishing-resistant authentication technologies, including WebAuthn and Passkeys Understanding of cybersecurity risks associated with emerging technologies, including quantum computing and artificial intelligence Knowledge of global medical device regulatory frameworks Excellent analytical, problem-solving, and communication skills Working knowledge of security frameworks and standards (e.g., NIST, ISO/IEC 27001, PCI DSS) Strong collaboration and influencing skills, with the ability to work effectively across technical and business teams Exceptional written and verbal communication skills, with the ability to tailor complex information for diverse audiences Strong analytical and problem solving skills, with the ability to work independently and manage multiple priorities Bachelor's degree in Cybersecurity, Computer Science, Information Systems, Information Assurance, Software Engineering, or a related field but not mandatory if experience is strong Preferred Qualifications Strong preference for candidates with cybersecurity experience across e commerce, mobile apps, IoT, or medical devices.
Preferred certifications include CISSP, HCISPP, CISM, CCSP, SABSA Foundation, CISA, or similar industry-recognized certifications Background in application security, product security, and secure development practices.
Experience supporting mobile applications, sensors, and backend operational systems.
Ability to draft, influence, and operationalize cybersecurity policies and standards.
Reading Static Application Security Testing (SAST)/Dynamic Application Security Testing (DAST) outputs, pen test results; collaborating with teams; no major required internal tools.
Top 3 required skills: Cybersecurity consulting w/ development teams (software/hardware).
Ability to influence policy/standards for emerging tech (AI, quantum, cloud).
Ability to evaluate the effectiveness of cybersecurity controls.
Top 3 preferred skills: Medical device or IoT cybersecurity; development background; broader product security experience.
Certifications: Not required; experience is prioritized over certs.
Industry experience: Medical device preferred; e commerce, IoT, cloud, and mobile app security also acceptable.
Systems used daily: Reading Static Application Security Testing (SAST)/Dynamic Application Security Testing (DAST) outputs, pen test results; collaborating with teams; no major required internal tools.
Personality traits: Curious, detail oriented, collaborative, strong communication, relationship builder.
Interview Process: One Teams Video interview About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond.
The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.
DivIHN is an equal opportunity employer.
DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.
SOX, ISO, HIPAA, HITRUST, SOC 2, ISO 27001/2, BASEL II, EU DPD
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.
Location: Remote
Duration: 12 Months
Overview
- The Business Systems Analyst (BSA) will support client's enterprise Identity & Access Management (IAM) transformation. This includes:
- WIAM migration activities (metadata and certificate updating, coordination with client applications, etc)
- PingFederate to PingOne Advanced Identity Cloud (AIC) modernization
- Access governance improvements (who has access to what, and why)
- Cross?platform identity initiatives spanning Security Services
- This role bridges business needs and engineering delivery by ensuring work is clearly defined, well documented, properly tracked, and delivered with strong testing and governance.
Support identity initiatives that commonly require:
- SAML certificate lifecycle coordination
- SAML = Security Assertion Markup Language (a standard for single sign-on)
- Coordinating certificate rotation across multiple applications, environments, and vendors
- Tracking owners, dates, dependencies, and cut over steps in structured trackers (e.g., Excel)
- SAML connection migration planning and execution support
- Helping move Identity Provider (IdP) connections from legacy federation to modern platforms
- IdP = Identity Provider (system that authenticates users)
- Migration readiness and execution tracking
- Requirements capture, integration mapping, status reporting, and risk/dependency management
- Documentation at scale
- Maintaining living runbooks and migration guidance in Confluence
- Keeping Jira work items audit-ready with clear ownership and due dates
Key Responsibilities
- IAM Program & WIAM Migration Support
- Support engineering teams migrating PingFederate connections to PingOne Advanced Identity Cloud (AIC) and Microsoft Entra ID
- Entra ID = Microsoft's cloud identity service (formerly Azure AD)
- Track milestones and deliverables across workstreams, including:
- Certificate updates and expirations
- RBAC updates
- RBAC = Role-Based Access Control (access is granted by role)
- Compliance-driven tasks and evidence
- Coordinate dependencies across multiple IAM workstreams to prevent bottlenecks
- Conduct impact analysis of technology changes on business processes and IAM systems
- Provide system and business process support across multiple IAM program engagements
- Business Analysis & Delivery Coordination
- Plan, elicit, capture, analyze, and validate requirements for IAM initiatives:
- Business requirements (what is needed)
- Functional requirements (what the solution must do)
- Technical requirements (how it integrates and operates)
- Document and assess current-state IAM processes, integrations, and access models
- Maintain rigorous Jira notes including:
- Ownership, due dates, constraints, risks, dependencies, and decisions
- Maintain accurate, iterative Confluence documentation for all IAM projects
- Assist with data models and interface specifications where needed for IAM systems
- Log system and process changes using approved change management tools (e.g., FastTrack)
- Ensure IAM changes are properly tested before deployment
- Coordinate UAT and functional testing
- UAT = User Acceptance Testing (business confirms the solution meets needs)
- Meeting & Stakeholder Management
- Facilitate discussions between engineering, security architecture, business stakeholders, and program leadership
- Support collaborative system and data design sessions with users and technical teams
- Coordinate meetings responsibly (e.g., avoid conflicts with Agile ceremonies)
- Summarize meetings with clear action items and track accountability
- Present complex IAM options and tradeoffs in a clear, decision-supporting way
- ???Quality, Documentation & Governance
- Ensure IAM changes and access-control updates are properly authorized by management
- Handle confidential identity-related information professionally and securely
- Support compliance needs, including IAM controls, audit readiness, and certificate expiration management
- Ensure documentation is clear, complete, current, and aligned to corporate standards
- Adhere to corporate policies, procedures, and IAM governance requirements
Requirements
- Core Experience (Required)
- Proven experience (1+ years) as an IT Business Analyst / Business Systems Analyst supporting complex corporate environments
- Extensive experience with large scale migrations or updates across multiple organizations and third party vendors
- Hands-on experience with IAM concepts and platforms, such as:
- Federation and SSO
- SSO = Single Sign-On (one login for multiple apps)
- SAML and certificates
- RBAC
- Directory technologies (e.g., LDAP/AD concepts)
- Strong understanding of SDLC and testing methods
- SDLC = Systems Development Life Cycle (plan build test deploy support)
- Demonstrated ability to manage and track multiple simultaneous workstreams with high attention to detail
- Technical & Analytical Skills (Required)
- Strong Excel skills for tracking plans, owners, timelines, and dependencies
- Ability to review/analyze data sets and system outputs; familiarity with ODBC is a plus
- ODBC = Open Database Connectivity (standard way to connect to databases)
- Ability to produce process documentation that is structured and easy to follow
- Strong experience with Scrum/Agile delivery tools (e.g., Jira and Confluence)
- Behavioral & Professional (Required)
- Strong stakeholder management and the ability to influence with data-driven reasoning
- Highly organized multitasker with attention to detail
- Energetic, engaging, and collaborative working style
- Demonstrates professionalism and ethical conduct in all interactions
- Education / Background
- BA/BS in Business, Computer Science, or related field OR equivalent experience (e.g.,
- 10+ years comparable experience)
- Compliance familiarity (security, audit, access control) strongly preferred
- Prior experience in Identity & Access Management, Security, or similar field
Products & Tools (Required vs. Nice to Have)
- Required (Day 1 Readiness)
- Jira (work tracking, user stories, acceptance criteria)
- Confluence (documentation, runbooks, migration guidance, decision logs)
- Servicenow (ticketing and request flows)
- Excel (tracking owners, dependencies, milestones, certificate rotations, cutover plans)
- SAML / certificates (baseline understanding of certificate rotation impacts and coordination)
- Working knowledge of at least one identity platform:
- PingFederate (legacy federation) and/or
- PingOne Advanced Identity Cloud (AIC) and/or
- Microsoft Entra ID
- Nice to Have (Accelerators)
- Visio / Miro (process flows, integration diagrams)
- Splunk familiarity or other log query experience
- SharePoint (document management / collaboration)
- Microsoft Project / Project Server (formal project plans and dependencies)
- Change management tooling (e.g., FastTrack)
- Scripting familiarity (e.g., Python) for light automation or data validation
- eCommerce domain exposure (rare, but beneficial in some integration scenarios)
Certifications (Preferred vs. Nice to Have)
- Preferred
- Security/IAM adjacent certification (any of the below are helpful)
- CISSP
- Security+ (baseline security knowledge)
- Identity-focused training/certificates (Ping/Microsoft identity learning paths)
- Nice to Have
- CBAP / CCBA (IIBA Business Analysis certifications)
- CBAP = Certified Business Analysis Professional
- CCBA = Certification of Capability in Business Analysis
- Agile certification (CSM, PSM, or equivalent)
- CSM = Certified ScrumMaster
- PSM = Professional Scrum Master
- Cloud fundamentals (Azure fundamentals or similar)
- Testing certifications (ISTQB or equivalent)
- ISTQB = International Software Testing Qualifications Board
Location: Columbia, SC
Partial Onsite: Tuesday, Wednesday, Thursday Onsite and as Needed
Duration: 12 Months (Contract to Hire)
Duties
- Day to Day
- Lead the design and development of advanced Genesys Cloud Architect workflows (IVR, digital, routing, NLU-driven call flows).
- Produce high-quality technical and functional documentation, including FRDs, workflow diagrams, and integration specifications.
- Participate in and/or lead discovery and design workshops with business and technical stakeholders.
- Responsible for analysis, design, programming, and implementation of complex applications tasks and projects.
- Devise feasible, logical procedures to resolve business problems through the use of computer resources.
- Formulate scope and objectives through research to develop or modify complex systems.
- Review detailed specifications and recommend modifications. Design, code, test and debug complex application programs.
- 20% Produce deliverables related to the assigned project.
- Perform analysis, design, programming, and implementation of systems and procedures to solve complex business or scientific problems.
- Evaluate interrelationships in immediate programming area to determine how changes in one program will affect another related area.
- Apply conversions and enhancements to business systems.
- May lead or provide expertise on assigned projects.
- 20% Work closely with customers, business analysts, and team members to understand business requirements that drive the analysis and design of quality technical solutions.
- Ensure solutions are aligned with business and IT strategies and comply with the organization's architectural standards.
- Assist in post-implementation support and system enhancements.
- 20% Test modified programs, create necessary test files and data, verify logic, debug, and write relevant documentation.
- 15% Design and develop IT systems. Devise new sources of data and develop new approaches and techniques.
- Involved in the full systems life cycle and is responsible for designing, coding, testing, implementing, maintaining and supporting complex application software that is delivered on time and within budget.
- 15% Provide guidance to lower-level programmers/analysts.
- Act as an internal consultant by providing technical guidance on complex projects.
- Determine and resolve problems with other systems analysts, programmers, and systems users.
- 10% Test designed programs, verify logic, perform any necessary "debugging," and write the documentation
Required Technologies:
- Genesys Cloud
- Java Script, Python, or Node.Js
- REST APIs, JSON, and service integrations
- Hands-on experience with cloud platforms (AWS preferred)
Nice To Have:
- Genesys Certifications such as:
- Genesys Cloud CX Developer (CCX GCD)
- Genesys Cloud CX Architect (GCX ARC)
- Lucid Charts or other workflow modeling tools.
Minimum Required Skills and Abilities:
- Comprehensive understanding of applications/development, quality assurance and integration methodologies, concepts and facilities in a mainframe, midrange, and/or PC/LAN environment.
- Demonstrates a high level of technical proficiency in the areas of programming languages, platform capabilities, and methods of systems analysis and program design.
- Excellent analysis, decision-making, and problem solving skills.
- Demonstrates logical abstract thinking and assimilating/adhering to project goals and deadlines.
- Ability to communicate effectively verbally and in writing.
- Able to work well under pressure and as part of a team.
- Strong knowledge of interpersonal skills/team building.
- Familiar with project management concepts.
- Ability to assess requirements, alternatives, and risks/benefits for low- to high-impact projects.
- Pays attention to detail.
- Ability to establish and maintain effective working relationships with employees, clients, vendors etc.
- In-depth understanding of organizational functions, behavior, and inter-relationships.
Minimum Required Software and Other Tools:
- Comprehensive knowledge of relevant operating systems, programming languages, and development tools and their usage in the company.
Work Environment:
- Customer-focused, project-oriented programming environment.
- Fast paced, multi-platformed environment which may require action and response 24X7 to support the technical business needs of the customer.
Minimum Required Education: Bachelor's degree-in Computer Science, Information Technology or other job related degree.
Degree Equivalency: 4 years of job related work experience or 2 years of job related experience plus an associate's degree in Computer Science, Information Technology or other job related degree
Minimum Required Work Experience: 6 years-of application development, systems testing or other job related experience.
Interviews: 1st round Teams, 2nd round in Person
Duration: 11 Months (Contract to hire)
Location: Columbia, SC
Onsite Requirements: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed.
Standard work hours: 8:00 AM - 5:00 PM
**Credit check will be required**
Job Summary:
Day to Day:
- A typical day will involve a mix of hands-on coding, architectural design, and research.
- The engineer will spend a significant portion of their time in Python, building and optimizing agentic AI systems using frameworks like LangChain.
- This includes integrating these agents with our backend services and deploying them using CI/CD pipelines into our cloud environment.
- They will also be responsible for researching and testing new agentic models and frameworks, monitoring agent behavior in production, and collaborating with data scientists and business stakeholders to refine requirements and ensure the ethical deployment of AI solutions.
Team: The team is an innovative, collaborative, and empowering environment. We are building the next generation of AI solutions for the enterprise in a fast-paced, project-oriented setting. This is a multi-platformed environment that values creativity, continuous learning, and a customer-focused mindset. The new engineer will play a crucial role in shaping our AI strategy and building foundational tools and accelerators that will drive innovation across the company.
Job Requirements:
**This is a new role to establish a core competency in agentic AI systems. This engineer will be pivotal in designing and deploying advanced AI agents and will build the foundational frameworks for future AI use cases across the organization.**
Required Experience:
Required Software and Tools (Hands on experience required):
- Python
- JavaScript/TypeScript
- AI Tools and Libraries (e.g. LangGraph, LangChain, Deep Agents, Claude Skills, etc.)
- AI Models (e.g. Claude, OpenAI, etc.)
- AI Concepts (e.g. Prompt Engineering, RAG, Agentic AI, etc.)
- Distributed SDLC/DevOps (e.g. github, pipelines, VS Code, testing frameworks, etc.)
- Platforms (Container Platforms, Cloud Platforms, Document Databases, AWS)
- API Design
Python & AI/ML Libraries:
- Deep hands-on experience in Python for AI/ML development.
- Generative AI Development: Proven experience developing Gen AI or AI/ML solutions, from use case conceptualization to production deployment.
- Infrastructure & DevOps: Strong understanding of cloud environments (AWS preferred), LLM hosting, CI/CD pipelines, Docker, and Kubernetes.
- Agentic AI Concepts: Knowledge of agentic/autonomous systems (e.g., reasoning, planning, tool use).
Minimum Required Education: Bachelor's degree-in Computer Science, Information Technology or other job related degree or 4 years relevant experience or Associates degree + 2 years relevant experience
Minimum Required Work Experience: 6years-of application development, systems testing or other job related experience.
Required Technologies: 3-6 years of hands-on experience in Artificial Intelligence, Machine Learning, or related fields.
Nice to have/Preferred skills:
- Proficiency in Python development and FastAPI/Flask frameworks, along with SQL.
- Familiarity with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), Chain of Thought prompting, knowledge stores, and embeddings.
- Experience developing autonomous agents using cloud-based AI services.
- Experience with prompt engineering techniques and model fine-tuning.
- Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems.
- Experience working across cloud platforms (AWS, Azure, GCP) and deploying AI solutions at scale.
Position - Network Architect
Location: Denver, CO (Hybrid)
Long Term Contract
Unable to provide sponsorship for this role.
Job Description:
As a Network Architect, you will be responsible for the strategic design, planning, and security of our organization's network infrastructure. You will oversee the integration of advanced technologies to support the demands of both our on-premise data centers and cloud services, ensuring a resilient, scalable, and highly secure network.
Responsibilities
- Lead the design and development of network architectures, roadmaps, and technical specifications for enterprise-level networks, encompassing on-premise data centers and hybrid cloud environments.
- Serve as the subject matter expert for all network-related technologies, providing technical leadership and guidance to engineering and operations teams.
- Evaluate, recommend, and integrate new technologies such as Software-Defined Networking (SDN) and Software-Defined Wide Area Networking (SD-WAN) to improve network agility and efficiency.
- Design and implement robust network security solutions, including the configuration of firewalls, intrusion detection/prevention systems (IDS/IPS), and other security fabric components.
- Manage network segmentation and isolation strategies to protect sensitive data and critical systems, ensuring compliance with security standards.
- Design and manage network load-balancing solutions to ensure high availability, optimal performance, and efficient traffic distribution across the network.
- Oversee the implementation of routing and switching protocols (e.g., OSPF, BGP) to ensure network stability, performance, and scalability across multi-site and global environments.
- Ensure the design of secure interconnectivity between on-premise infrastructure, cloud services (e.g., AWS, Azure), and remote access points.
- Develop comprehensive network documentation, including diagrams, topologies, and implementation plans, and provide ongoing support and troubleshooting for complex network issues.
- Collaborate with cross-functional teams, including cybersecurity, cloud engineering, and application development, to align network architecture with business goals and security requirements.
- Stay current on emerging networking and security trends, technologies, and best practices to drive continuous improvement and innovation.
Required skills and qualifications
- Bachelor’s degree in computer science, Information Technology, or a related field.
- 10+ years of progressive experience in network engineering, with at least 5 years in a network architect role designing enterprise-level networks.
- Expert-level knowledge and hands-on experience with routing and switching protocols and configuration (e.g., Cisco, Juniper).
- Extensive experience with network security technologies, including firewalls (e.g., Palo Alto, Check Point), IDS/IPS, and VPNs.
- Proven experience in architecting and implementing secure solutions for on-premise and cloud (IaaS/PaaS) environments.
- Strong knowledge of Software-Defined Networking (SDN) principles and practical experience with SDN technologies.
- Expertise in designing and managing load-balancing systems for high-traffic applications.
- Experience with network modeling, capacity planning, and performance analysis.
- Excellent analytical, problem-solving, and communication skills.
- Relevant industry certifications (e.g., CCNP, CCIE, AWS Certified Advanced Networking, Azure Network Engineer Associate) are highly desirable.
Role - Contact center engineer - Five9
Location : Phoenix, AZ (Onsite)
JD:
8+ years of commercial software development experience
Design and implement scalable Caas and IVA solutions leveraging Google Cloud and Google CX
(Dialoglow CX), including conversational IVR design, NLU/NLP modeling, intent and flow orchestration, webhook integrations, speech-to-text/text-to-speech, and seamless integration with Five and enterprise systems.
* Architect secure, resilient cloud infrastructure on GCP using services such as GKE, Cloud Run, Cloud Functions, Pub/Sub, Apigee, and BigQuery, implementing IAM, VPC design, encryption, multi-region high availability, and Infrastructure as Code (Terraform) to support enterprise-grade customer experience platforms.
* Architect, implement, and optimize Five CRaas solutions, including ACD, skills-based routing, dialer, omnichannel capabilities, and campaign management, ensuring scalable, secure, and compliant contact center operations.
* Lead integrations and migrations leveraging Five APls and telephony capabilities, including CRM/CTI integrations, webhooks, SIP/WeRTC, security configuration (RAC, PCI/HIPAA), and transition from legacy contact center platforms to Five.
* Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/D pipeline. DevOps and Observability.
* Experience with automated release management using GitHub Actions.
* Experience in Architecture design and modeling should possess strong skills in designing and modeling complex systems and architectures.
* Good understanding of data structures, algorithms, and design patterns
* Great written communication and documentation abilities
* Strong understanding of cloud security architecture and Encryption and OAth.
* Looks proactively beyond the obvious for continuous improvement opportunities.
* Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.
* Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.
POSITION OVERVIEW :
Provide end-to-end architectural leadership for a highly complex, Service Cloud implementation built on an existing multi-cloud Salesforce footprint (Sales, Service).
· Define the target-state architecture, integration patterns, data models, sharing models, and governance frameworks required for scalable community/portal solutions.
· Lead solution design workshops, validate business requirements, create architectural roadmaps, and ensure alignment with enterprise standards and security policies.
· Oversee technical delivery, mentor cross-functional teams, and ensure solution integrity across Experience Cloud, Lightning, Apex, and external systems.
Experience Requirement
· 10+ years Salesforce solution architecture experience; 5+ years specific to Experience Cloud or complex portal architectures.
Certification Requirement
· Salesforce Certified Experience Cloud Consultant (required).
· Salesforce Application Architect or System Architect
Site Reliability Engineer
Description and Requirements
About Our Team
We are building Quantum, a next‑generation hybrid AI platform that spans Windows, Android, and cloud. As part of this initiative, we are growing the reliability engineering organization that powers cross‑device Personal AI.
We are hiring Site Reliability Engineers (SREs) to strengthen the reliability, observability, and operational excellence of Qira’s AI systems across device, edge, and cloud. Depending on your strengths, you may be aligned to areas such as Observability, Operations, or Service Reliability.
Works with the speed and creativity of a startup inside— you’ll help build foundational systems with clarity, ownership, and modern engineering practices.
Location: On-site in Chicago, IL. Hybrid (3 days on-site, 2 days remote)
What You Might Work On
As an SRE, you may be responsible for a subset of the following, depending on team placement and skill alignment:
Reliability & Systems Engineering
- Support the reliability, availability, and performance of distributed systems across cloud, edge, and device environments.
- Help define, measure, and monitor SLIs and SLOs for core services.
- Identify reliability risks and collaborate with senior engineers on mitigation plans.
Operational Excellence
- Participate in on‑call rotations and assist with incident response and post‑incident reviews.
- Contribute improvements to runbooks, automation, and tooling that reduce alert noise and operational toil.
- Help enhance detection, alerting, and response workflows.
Observability & Insight
- Implement and improve telemetry using OpenTelemetry, Grafana, and related tools.
- Build dashboards and tools that improve visibility into system health and AI service behavior.
- Ensure observability data is complete, accurate, and actionable.
Deployments & Change Safety
- Support safe, reliable deployment workflows including canaries, staged rollouts, and automated rollbacks.
- Assist in improving CI/CD systems and deployment tooling.
Collaboration & Best Practices
- Work closely with senior SREs, DevOps engineers, AI/ML teams, and platform engineers.
- Contribute to reliability reviews, operational readiness checks, and cross‑team projects.
- Advocate for modern SRE and DevOps practices within the organization.
Basic Qualifications
- 4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or production systems operations.
- Bachelor’s Degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
- Foundational experience supporting distributed systems in production.
- Ability to write scripts or tools in Python, Go, Bash, or similar languages.
- Solid understanding of Linux systems, networking basics, and system performance fundamentals.
- Experience with cloud platforms (Azure preferred, AWS or GCP acceptable).
- Familiarity with monitoring/observability (metrics, logs, tracing).
- Experience with containers and Kubernetes.
Preferred Qualifications
- Experience with OpenTelemetry instrumentation and telemetry pipelines.
- Hands‑on experience with Grafana, Prometheus, Loki, or Tempo.
- Exposure to AI/ML systems, inference services, or data‑intensive workloads.
- Experience contributing to CI/CD processes and deployment automation.
- Familiarity with hybrid architectures spanning device, edge, and cloud.
- Passion for automation, reliability, and operational excellence.
What Success Looks Like
- Systems become easier to operate, observe, and trust.
- Alerts are more accurate and actionable.
- On‑call load decreases through thoughtful automation and improvements.
- Deployment workflows become more reliable and repeatable.
- You grow toward deeper ownership and technical leadership within the reliability engineering organization.
