Senior Endpoint Engineer - Enterprise & Executive Services Job at NTT DATA (Pittsburgh)

Senior Enterprise Endpoint Engineer

We are seeking a Senior Enterprise Endpoint Engineer, a strategic, senior-level ...

Location

United States , Atlanta

Salary:

Not provided

Tier4 Group

Expiration Date

Until further notice

Requirements

8+ years of enterprise endpoint management experience
Hands-on experience with: Microsoft Intune / Endpoint Manager
Azure AD / Entra ID
Windows administration (workstations and servers)
SCCM / Microsoft Endpoint Configuration Manager
Enterprise patch and vulnerability management
Scripting experience (PowerShell)
ITIL knowledge and change management experience
Excellent communication skills
Bachelor’s degree in IT or related field (required)

Job Responsibility

Own enterprise endpoint management standards and operational health for 6,500+ devices
Develop and maintain configuration baselines aligned to corporate IT and compliance frameworks (SOC 2, HIPAA, NIST, CIS)
Lead enterprise patch management, update governance, and reporting to ensure timely and consistent deployments
Build and maintain Intune and SCCM policies to promote device stability, compliance, and performance
Partner with Information Security and audit teams to address findings and strengthen endpoint controls
Support regulatory, audit, and cyber insurance requirements through documentation, evidence gathering, and structured processes
Create executive dashboards tracking patch status, encryption health, device performance, and compliance posture
Analyze endpoint trends and recommend proactive improvements to enhance reliability and reduce technical debt
Architect and maintain SCCM and Intune environments in hybrid and cloud-first scenarios
Lead Windows OS lifecycle strategy, including feature updates, update rings, and compliance policies

Senior Infrastructure Engineer

Location

United States , Santa Barbara

Salary:

100000.00 - 150000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

5+ years of experience in IT consulting, infrastructure engineering, or enterprise IT support
Strong technical knowledge across cloud platforms (Azure/M365), networking, security, and virtualization
Experience with firewalls, backups, identity management, and endpoint security tools
Proven ability to manage multiple client environments and technical projects simultaneously
Excellent communication skills with the ability to translate technical concepts to non-technical audiences
Strong customer service mindset and ability to build trusted client relationships
Experience troubleshooting complex systems across Windows, macOS, and network environments
Valid driver’s license and ability to travel to client sites

Job Responsibility

Own and manage client IT environments end-to-end, including design, implementation, maintenance, and escalation support
Lead technical projects from planning through execution, ensuring timely and successful delivery
Design and implement cloud, infrastructure, and security solutions aligned to client needs
Serve as a strategic advisor to clients, recommending improvements and technology roadmaps
Install, configure, and support networks, servers, cloud platforms, and endpoint systems
Monitor system health, manage backups, apply updates, and ensure security best practices
Troubleshoot and resolve complex technical issues across infrastructure, applications, and networks
Provide clear communication to both technical and non-technical stakeholders, including executives
Mentor junior team members and collaborate across technical teams
Maintain documentation, track work progress, and ensure high service quality standards

What we offer

Performance-based bonuses and incentive opportunities
medical, dental, vision, and life insurance
Retirement plan with employer contribution
Paid time off and company holidays
Professional development support, including training and certifications
wellness benefits, team events, and employee recognition programs

Fulltime

Endpoint Lead Engineer

Serves as the enterprise-level designer and technical authority for all UEM plat...

Location

United States , Vienna

Salary:

Not provided

AAC

Expiration Date

Until further notice

Requirements

BS in IT or related field (preferred)
5–7 years direct UEM engineering experience
3+ years architectural-level design or enterprise engineering leadership experience
Extensive experience implementing Apple Business Manager and Declarative Device Management
Expert-level knowledge of WorkSpace One, Microsoft Intune, and/or Jamf (deployment, configuration, lifecycle, compliance)
Deep understanding of UEM security models, certificate-based authentication, conditional access, and mobile threat protection
Advanced scripting capability (PowerShell required
Python strongly preferred)
Ability to design scalable, automated architectures supporting thousands of endpoints
Strong interpersonal and leadership skills

Job Responsibility

Serve as lead architect for Workspace One, Microsoft Intune/Jamf enterprise deployments
Design configuration baselines, compliance frameworks, conditional access integration, and advanced automation pipelines
Define and maintain zero-touch deployment strategy across device types
Oversee high-level scripting architecture using PowerShell, Python, and platform-specific tooling
Lead major modernization efforts, including transitions to Declarative Device Management, Platform SSO, and ABM-driven provisioning
Provide guidance to engineering teams and mentor senior and mid-level administrators
Review and approve UEM security controls, reporting structures, and integration with enterprise systems

Fulltime

Senior Systems Engineer

As our next Senior Systems Engineer, you won't just be maintaining our corporate...

Location

United States , Chicago

Salary:

113400.00 - 138600.00 USD / Year

ActiveCampaign

Expiration Date

Until further notice

Requirements

An extensive, hands-on track record in Systems Engineering, IT Operations, or a related field, with a strong focus on corporate infrastructure management and driving operational efficiency
Deep knowledge and experience managing corporate infrastructure at scale with Infrastructure-as-Code (IaC) practices & GitOps workflows (e.g., Terraform, Ansible) and cloud automation best practices
Expert-level proficiency in implementing and managing Enterprise Mobility Management (EMM) solutions, specifically Microsoft Intune and Kandji, for device security and application deployment
Solid understanding and experience with Okta for Identity and Access Management (IAM), including Single Sign-On (SSO), Multi-Factor Authentication (MFA), user lifecycle management, and Entitlement Management
Proven success in developing internal automation tools using a modern programming language, ideally Python, to streamline corporate technology and business processes
Experience working with cloud platforms (AWS, Azure, Google Cloud) and modern virtualization technologies (e.g., VMware, Hyper-V)
Familiarity with DevOps best practices and CI/CD pipelines for corporate infrastructure, along with experience in Containerization (Docker, Kubernetes)
Strong knowledge of Linux/Unix systems administration
Exceptional stakeholder management skills and the ability to work cross-functionally with IT, security, and business teams to deliver self-service solutions and align initiatives with compliance frameworks (e.g., SOC 2, ISO 27001)
Exceptional technical advocacy and communication skills, with a demonstrated ability to break down sophisticated automation patterns for peers and bridge knowledge gaps through hands-on mentorship

Job Responsibility

Architect and deploy corporate infrastructure at scale using modern Infrastructure-as-Code (IaC) methodologies and GitOps workflows (e.g., Terraform, Ansible), focusing on continuous delivery and multi-cloud environments
Lead the strategy and execution of Enterprise Mobility Management (EMM) by configuring and managing Microsoft Intune and Kandji to ensure robust security compliance, application deployment, and device management for all company endpoints
Manage cloud-based Identity and Access Management (IAM) with Okta, implementing role-based access controls (RBAC), and automating entitlement management to mitigate security risks and adhere to Zero Trust principles
Drive continuous automation by developing internal tools and leveraging AI to streamline system administration, significantly reducing manual intervention and enhancing technology service delivery
Build and maintain robust CI/CD pipelines for corporate infrastructure, ensuring deployments are rigorously tested across environments and all system configurations are meticulously documented
Collaborate cross-functionally with Security, Product, and business teams to identify critical service gaps, translate business needs into technical requirements, and implement effective self-service solutions
Demonstrate technical leadership by example, maintaining high standards for infrastructure code quality and documentation that serve as the blueprint for the team’s automation efforts

What we offer

Comprehensive Health & Wellness: Top-tier benefits package that includes a fully-covered High Deductible Health Plan (HDHP), complimentary access to telehealth services, and a free subscription to Calm
Growth & Development: Access to LinkedIn Learning, professional development programs, and career growth opportunities in a fast-growing organization
Generous Paid Time Off: Recharge and take the time you need to maintain work-life balance with open PTO
Total Rewards: Generous 401(k) matching with immediate vesting, quarterly perks with commuter and lunch benefits for hub based employees or a stipend for remote workers, and a four-week paid sabbatical with bonus after five years
Collaborative Culture: Work alongside brilliant, passionate colleagues in an environment that values innovation, teamwork, and mutual support

Fulltime

Senior Software Engineer (Agentic AI)

Radancy is the global leader in talent acquisition software, helping enterprises...

Location

Austria , Vienna

Salary:

Not provided

Radancy

Expiration Date

Until further notice

Requirements

5+ years of experience building and operating production backend systems, with hands-on exposure to AI/ML-powered applications preferred
Strong proficiency in a strongly typed language such as Scala, Java, or similar strongly preferred
Experience integrating LLM APIs, embedding models, or ML inference services into distributed systems
Experience building or consuming agent frameworks (e.g., Google ADK, LangGraph, or AutoGen) to orchestrate multi-step, tool-using AI agents in production environments
Familiarity with Model Context Protocol (MCP) or similar tool-serving standards
Practical understanding of NLP, LLM behavior, prompt design, retrieval-augmented generation (RAG), and structured output patterns
Experience deploying and scaling AI-enabled services in AWS/GCP cloud environments
Hands-on experience with containerization and orchestration (Docker, Kubernetes)
Experience designing highly concurrent, fault-tolerant systems using async processing, queues, pub/sub, or event-driven architectures
Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform or similar), and automated deployment workflows

Job Responsibility

Architect, build, and operate cloud-native backend services that power AI-driven recruiter workflows
Design and implement agentic AI systems using frameworks such as Google ADK, LangGraph, or similar, building multi-step reasoning loops, tool-use pipelines, and agent-to-agent (A2A) communication patterns for production recruiter automation
Build, deploy, and maintain MCP servers to expose backend capabilities as structured tool endpoints consumable by AI agents, ensuring schema correctness, session management, and tenant-safe execution
Design and deploy scalable AI/LLM services using containerization and orchestration technologies in cloud environments
Integrate LLM APIs, embedding services, and ML inference endpoints into distributed systems with strong API design, versioning, and fault tolerance
Implement asynchronous processing, event-driven architectures and durable state management for AI workflow orchestration
Build and maintain CI/CD pipelines to automate testing, deployment, and monitoring of AI-enabled services
Establish observability practices (metrics, tracing, logging, alerting) to monitor model performance, latency, cost, and reliability in production
Optimize inference workloads for performance, scalability, and cost efficiency, including autoscaling and concurrency management
Partner with Data Science to bring models to production, implement evaluation pipelines, and support model lifecycle management

Senior Sales Engineer

We are looking for a Senior Sales Engineer to drive pre-sales engagement for lar...

Location

India , New Delhi

Salary:

Not provided

Skyhigh Security

Expiration Date

Until further notice

Requirements

12+ years in cybersecurity
5+ years in pre-sales or solution engineering supporting large enterprise deals
Proven track record engaging CISOs and senior security leadership in complex enterprise environments
Hands-on experience with leading cybersecurity platforms such as EDR/XDR, NDR, firewalls, cloud security, Data Security, SIEM, SOAR
Experience handling large, distributed enterprise environments (1,000+ endpoints preferred)
Industry certifications preferred: CISSP, CISM, CEH, GIAC
Deep understanding of endpoint security (EDR/XDR/MDR), Data Security, threat detection & response, malware behavior, network security, and advanced SOC use cases
Familiarity with SIEM/SOC operations, threat hunting methodologies, incident response lifecycle, and threat intelligence integration
Experience with next-gen firewalls, SASE concepts, cloud workload security (AWS/Azure/GCP), and SaaS security
Knowledge of Zero Trust principles, identity-centric security, and modern access models

Job Responsibility

Lead the technical strategy for Enterprise pursuits including large strategic deals and competitive evaluations
Conduct detailed technical discovery, needs assessment, and solution architecture workshops with CISOs, SOC leaders, security architects, and IT stakeholders
Design and deliver solution demos, lab scenarios, and POCs aligned to enterprise threat use cases (ransomware, insider threat, cloud compromise, etc.)
Act as a trusted cybersecurity advisor to Enterprise security leadership
Translate business risk, digital transformation, and compliance requirements into architectural security solutions
Align product/platform capabilities (endpoint, network, cloud, Data security) to enterprise security modernization roadmaps
Equip sales teams with competitive differentiation, objection handling, and technical win strategy support
Validate feasibility, integrations, deployment models, and configurations across hybrid and multi-cloud enterprise environments
Support technical evaluations, architecture reviews, and security assessments
Drive automation and orchestration use cases with SOC / SIEM, SOAR, AI-driven detection ecosystems

What we offer

Retirement Plans
Medical, Dental and Vision Coverage
Paid Time Off
Paid Parental Leave
Support for Community Involvement

Fulltime

Senior Cybersecurity Engineer - AI

The Cybersecurity Engineer will help ensure that our software, systems and infra...

Location

United States , Frisco

Salary:

103400.00 - 186400.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree, Computer Science, or Information Technology (required)
4-7 years’ Experience in info security technology or related field
2+ years of experience working with Generative AI models, AI APIs ( such as OpenAI, Hugging Face, or similar), and AI / ML integration in software development
Led rollouts and production hardening for AI Security platforms such as Reco (AI‑SPM/SaaS discovery), Knostic (NTK policies), S1/Prompt Security (endpoint guardrails), or equivalent tools
Implemented SSO/MFA, SCIM, RBAC and Need‑to‑Know models for AI workflows
partnered with Data Protection on Varonis classification and lineage
Experience with incident handling for Security breaches
2-4 years’ Technical Project Management
Experience with high level design architecture, security technologies, Networking, web services and SOA
Understanding of encryption, obfuscation, tokenization technologies

Job Responsibility

Lead AI use‑case intake & security reviews
document decisions, compensating controls, and audit evidence
Perform and guide threat modeling for AI/data/agent workflows
translate findings into technical requirements for gateways, guardrails, and NTK enforcement
Define, publish, and maintain AI security standards/guardrails (prompt/log retention, purpose‑binding, kill‑switch, secrets handling, retention/expiration)
Engineer identity & access controls (SSO/MFA, SCIM, RBAC) that enforce Need‑to‑Know
coordinate with Data Protection on Data Security Posture Management and permission awareness
Operationalize runtime protections: deploy/monitor AI and Data Security frameworks, AI discovery & policy enforcement
integrate Prompt Security and cloud and SaaS posture signals (e.g., Wiz)
Leads security, compliance, and risk assessments on projects throughout project lifecycle

What we offer

competitive base salary and compensation package
annual stock grant
employee stock purchase plan
401(k)
access to free, year-round money coaches
annual bonus or periodic sales incentive or bonus
medical, dental and vision insurance
flexible spending account
employee stock grants
employee stock purchase plan

Fulltime

Senior Technical Support Engineer

Join our team and immerse yourself in the dynamic world of innovative global com...

Location

Ukraine

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

3+years in a technical support or IT support role
Excellent communication skills in English (C1 or higher – written and spoken)
Basic knowledge of server hardware, software, and operating systems
Practical understanding of ITIL processes (Incident, Problem, Change, Service Request, MIM)
Proven experience in troubleshooting and problem resolution
Ability to analyse complex technical issues
Experience with help desk software like Atlassian (Jira, Confluence), Zendesk, Freshdesk, ServiceNow etc.
Hands-on experience with Okta or similar IdP (SSO configuration, user lifecycle management, MFA troubleshooting)
Proficiency in managing Slack, Zoom, and Google Workspace at an admin level
Experience with macOS and MDM solutions (e.g., JAMF), device provisioning & lifecycle

Job Responsibility

Respond to support incidents and service requests via defined communication channels in line with SLAs
Investigate and resolve incidents, including real-time issues, through structured troubleshooting and log analysis
Perform advanced technical troubleshooting, including root cause analysis and validation of resolution approaches
Manage user access requests, including provisioning, deprovisioning, permission changes, and service account/API token setup across multiple SaaS platforms
Support identity and authentication processes, including troubleshooting SSO, MFA, and OAuth/SAML integration issues
Administer collaboration tools (e.g., Slack, Zoom, email platforms), including configuration, user management, and issue resolution
Execute employee lifecycle processes, including onboarding and offboarding (account setup, access revocation, hardware coordination)
Provide endpoint and hardware support, including macOS troubleshooting, device provisioning, and repair coordination
Diagnose and resolve incidents, escalating complex issues with proper documentation when needed
Maintain and update documentation, including runbooks, knowledge base articles, and operational procedures

Fulltime

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Senior Endpoint Engineer - Enterprise & Executive Services

Job Description

Job Responsibility

Requirements

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