McAfee

Security Engineer

• Design and implement security controls to protect data, applications, and infrastructure.
• Collaborate cross-functionally to provide technical security expertise.
• Develop threat simulation methodologies to evaluate risks and predict attack outcomes.
• Troubleshoot security-related issues to enhance protection.
• Communicate complex security concepts to technical and non-technical stakeholders.
• Stay current with emerging security technologies and best practices.
• Maintain thorough documentation of security processes, assessments, and findings.

Endpoint Security Engineer

Platform Engineer

• Design, build, and scale enterprise-grade Generative AI platforms supporting LLM applications, AI agents, RAG architectures, and multi-model routing.
• Architect and implement secure, scalable AI infrastructure leveraging cloud-native technologies (AWS, GCP, Kubernetes, GKE/EKS).
• Enable self-service AI capabilities for engineering teams through standardized platform services, APIs, and Backstage templates/plugins.
• Build and operate Retrieval-Augmented Generation (RAG) infrastructure, including embedding pipelines and vector stores (OpenSearch, Aurora pgvector).
• Develop and manage enterprise AI gateway capabilities, including model routing, rate limiting, token tracking, and policy enforcement.
• Integrate GenAI services into CI/CD pipelines and platform workflows to enable seamless deployment and lifecycle management.
• Build observability platforms for GenAI systems, tracking token usage, latency, response quality, failure rates, throughput, and cost visibility.
• Own lifecycle management of Kubernetes-based AI platforms including upgrades, patching, scaling.
• Define SLIs/SLOs and reliability benchmarks for AI platform services.
• Implement AI security guardrails including PII redaction, prompt injection defenses, and policy-driven controls.
• Integrate DevSecOps and AI security scanning into deployment pipelines to enforce secure-by-design practices.
• Design AI release validation, risk analysis, and governance frameworks for production readiness.
• Build reusable infrastructure modules and platform automation frameworks using Infrastructure as Code (Terraform or equivalent).
• Develop upgrade and patching strategies for AI platforms with minimal downtime and operational risk.
• Ensure platform security posture, compliance, and lifecycle governance across environments.
• Drive multi-cloud AI platform strategy and lead modernization initiatives across AWS and GCP.
• Partner with Security and Governance teams to enforce responsible AI practices and enterprise standards.
• Drive measurable improvements in developer productivity, platform adoption, and AI cost efficiency through standardized platform capabilities.

Senior AI Platform Engineer

DevOps Engineer

• Lead the design, implementation, and operation of large-scale Kubernetes platforms (EKS/GKE) with multi-region architectures ensuring high availability, scalability, and resilience.
• Own Kubernetes lifecycle management including provisioning, upgrades, patching, scaling, and disaster recovery readiness.
• Design, build, operate, and harden EKS clusters using Karpenter, Cilium, Istio/Envoy, and IRSA/Pod Identity.
• Drive multi-cloud platform strategy and modernization initiatives.
• Design and implement enterprise CI/CD pipelines using GitHub Actions, Jenkins, and Harness to improve deployment frequency and release quality.
• Build reusable Infrastructure as Code (Terraform) modules and platform automation frameworks.
• Implement AI-driven capabilities for deployment risk analysis, failure prediction, anomaly detection, release scoring, and automated RCA insights.
• Own and drive adoption of Backstage as the internal developer platform, including software templates, golden paths, scaffolding workflows, and service catalog.
• Improve developer productivity, onboarding experience, and self-service capabilities across engineering teams.
• Implement secure software supply chain practices and integrate DevSecOps controls into CI/CD pipelines.
• Enforce policy-as-code (OPA) and ensure platform security posture and continuous compliance.
• Define platform health metrics, SLIs/SLOs, and implement operational dashboards and observability practices.
• Leverage AI for platform health insights, cost optimization, and predictive capacity planning.
• Lead reliability engineering practices including incident response, postmortems, and automated remediation.
• Develop and execute upgrade and patching strategies with minimal downtime and operational risk.
• Provide hands-on technical leadership and guiding platform engineering best practices.
• Lead architecture reviews, drive platform governance, and ensure cross-functional alignment with engineering, security, and SRE teams.

Lead DevOps Engineer

• Design, implement, and operate large-scale Kubernetes platforms (EKS/GKE), including multi-region deployments for high availability and scalability.
• Manage Kubernetes cluster lifecycle including provisioning, upgrades, patching, scaling, & BCP/DR.
• Build and enhance CI/CD pipelines using GitHub Actions, and Harness to improve deployment efficiency and reliability.
• Design, build, and operate EKS clusters with technologies such as Karpenter, Cilium, Istio/Envoy, and IRSA/Pod Identity.
• Contributes to the implementation and adoption of Backstage as a developer platform, including templates, scaffolding workflows, and service catalog.
• Build reusable Infrastructure as Code (Terraform) modules and platform automation frameworks.
• Implement AI-driven capabilities such as deployment risk analysis, anomaly detection, and pipeline insights (where applicable).
• Develop strategies for upgrades and patching with minimal downtime and operational risk.
• Support platform security posture by implementing DevSecOps practices and secure software supply chain controls.
• Define and contribute to platform observability, including metrics, logs, traces, and operational dashboards.
• Define SLIs/SLOs and platform health metrics.
• Participate in incident response, root cause analysis, and reliability improvement initiatives.
• Collaborate with cross-functional teams to improve developer experience, platform adoption, and operational efficiency.

Senior DevOps Engineer

Financial Planning and Analysis

• Support all deal negotiations with Retail partners through financial analysis, scenario planning, and creation of cash flow and P&L financials
• Maintain proper due diligence and corporate governance pertaining to contract compliance and deal negotiations
• Assist Sales through internal approval process and review proposed contract language to ensure commercial, legal, and regulatory compliance
• Create presentation materials for Executive audiences that are clean, polished, and succinct
• Prepare ad-hoc financial models to help assist senior management in more informed decision-making
• Size strategic growth initiatives and prioritize against portfolio of alternative options
• Present to executive leadership team with ability to unpack complex concepts in simplified and easier to understand ways. Craft the message based upon the intended audience

Finance Specialist

Business Analyst

• Own Finance Forecasting processes, translate annual goals into actionable and measurable daily and weekly performance projections and insights
• Identify variance drivers, and proactively flag risks, opportunities, and ad hoc analysis to help identify areas of opportunity within acquisition and retention
• Build and maintain scalable analytical frameworks that improve visibility into granular business segments
• Leverage state of the art AI models and concepts to drive analytical outcomes, reporting, and financial modeling
• Track business initiatives by timing, channel, source, and expected financial impact
• Drive the results of the business through proactive influence and partnership with marketing, data analytics, pricing team and other groups within the org

Finance Business Analyst

Full-stack Engineer

• Lead the design, development, and deployment of scalable, resilient, and high-performance software solutions with a focus on agentic AI/ML capabilities.
• Provide hands-on technical leadership throughout the entire software development lifecycle, from concept and design to testing, deployment, and operational support.
• Architect and build full-stack applications and services that operate on an internet scale, ensuring high availability and low latency on modern cloud platforms (AWS, Azure, GCP ).
• Drive the technical vision and strategy for AI/ML-powered features and products, translating business requirements into robust technical designs with rapid iteration and incremental delivery.
• Mentor and guide a team of software engineers, fostering a culture of technical excellence, innovation, collaboration , speed, and AI-augmented productivity.
• Collaborate closely with product managers, data scientists, researchers, and other engineering teams to deliver impactful solutions aligned with business goals .
• Leverage AI-assisted development tools and practices to accelerate delivery (GitHub Copilot, Claude Code, LLM-powered workflows).
• Champion best practices in software engineering, including code quality, testing, CI/CD, and DevOps with a pragmatic, outcome-driven approach .
• Stay current with emerging technologies and industry trends, particularly in AI/ML, agentic and LLM-based systems, multi-agent architectures, distributed systems, and cloud computing.
• Contribute to code reviews, design discussions, and architectural decisions with hands-on involvement in implementation.
• Troubleshoot and resolve complex technical issues in production environments.

Principal Engineer – AI/ML

Software Engineer

• Design, build, and ship Flutter (Dart) features for desktop (macOS and Windows) with a strong focus on performance, reliability, and UX polish
• Drive end-to-end implementation of complex features, from technical design through delivery and maintenance
• Contribute to and evolve architecture patterns across the codebase (modularity, state management, navigation, testing)
• Build high-quality native desktop experiences, including windowing, menus, keyboard shortcuts, and accessibility
• Integrate Flutter with native macOS and Windows APIs via platform channels in a secure, maintainable way
• Participate in design discussions, code reviews, and technical documentation; raise the overall engineering bar through example

Senior Flutter Engineer – Desktop

Operations

• Lead the execution and optimization of omni-channel customer messaging across email, mobile, SMS, and Windows/in-product channels
• Partner in defining and operationalizing the CRM platform strategy
• Manage a high performing execution team responsible for building, testing, deploying, and continuously optimizing customer journeys
• Ensure the organization can execute sophisticated, personalized, cross-channel journeys at scale while maintaining strong governance, platform health, and operational efficiency

Director, Messaging Operations

Manager

• Lead the day-to-day global delivery and administration of employee benefits programs
• Establish and drive operational excellence standards
• Oversee global benefits operations such as enrollment processes and eligibility management
• Build and manage a high-performing benefits operations team
• Own vendor performance management including brokers, TPAs, and insurers
• Partner cross-functionally with Payroll, HRIS, Accounting, Legal, and Tax
• Drive process improvement and issue resolution
• Ensure ongoing compliance with global benefits regulations
• Maintain accurate records, controls, and reporting
• Deliver clear and effective employee communications
• Support M&A integration and due diligence activities