Design, build, and operate secure network infrastructure across on-premises and cloud environments, modernizing security posture toward zero trust and implementing infrastructure as code.
Compensation
Salary Range: $133,000-$190,000
Responsibilities
Design and implement secure network architectures spanning data center, branch, and public cloud environments
Engineer, deploy, and manage firewalls, VPNs, web proxies, and API gateways, including policy design, rule-base hygiene, and lifecycle management
Engineer, operate and manage ZTNA remote access solutions
Build and maintain secure connectivity in AWS and, where applicable, GCP
Manage SSL/TLS inspection/decryption policy, cipher and protocol standards, and mTLS for service-to-service traffic
Requirements
Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience
Nice to have: Google Cloud Platform networking and security
Nice to have: multi-cloud or hybrid connectivity designs
Seeking an experienced Kubernetes Platform Engineer / Architect to design, build, automate, and support enterprise-grade container platforms that power business-critical applications across global environments.
Compensation
$60/hour on W2
Responsibilities
Design and implement enterprise Kubernetes platforms across cloud and hybrid environments
Define platform standards, governance controls, and architectural best practices
Build scalable, resilient, and highly available Kubernetes clusters
Develop container platform roadmaps aligned with cloud strategy
Establish multi-cluster and multi-region Kubernetes architectures
Requirements
Nice to have: Semiconductor manufacturing
Nice to have: High-tech enterprise environments
Nice to have: AI/ML platform deployments on Kubernetes
Lead and develop enterprise-grade full stack applications using Microsoft technologies, providing technical leadership and ensuring production stability.
Compensation
The base salary for this position ranges between CAD 90,000 - 113,00 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
Responsibilities
Architect, design, develop, test, deploy, and support enterprise-grade full stack applications
Provide hands‑on technical leadership across backend services, APIs, user interfaces, integrations, cloud services, data access, and deployment pipelines
Translate business and non‑functional requirements into scalable solution designs
Design domain‑aligned services, reusable components, integration contracts, and resilient data flows
Drive application modernization from legacy .NET workloads to current .NET and Azure‑native services
Design, build, and operate secure network infrastructure across on-premises and cloud environments, modernizing network security posture toward zero trust.
Compensation
Salary Range: $133,000-$190,000
Responsibilities
Design and implement secure network architectures spanning data center, branch, and public cloud environments
Engineer, deploy, and manage firewalls, VPNs, web proxies, and API gateways
Engineer, operate and manage ZTNA remote access solutions
Build and maintain secure connectivity in AWS (VPCs, Transit Gateway, PrivateLink, Network Firewall, load balancers, security groups, NACLs) and, where applicable, GCP
Manage SSL/TLS inspection/decryption policy, cipher and protocol standards, and mTLS for service-to-service traffic
Requirements
Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience
Nice to have: Google Cloud Platform networking and security (VPC, Cloud Armor, Cloud NAT, Private Service Connect)
Nice to have: Multi-cloud or hybrid connectivity designs
Define and execute foundational capabilities for AI Infrastructure: the cloud, compute, data, networking, and runtime foundations behind Bloomberg’s AI platforms and AI-powered products.
Define and drive the vision for Bloomberg’s AI Infrastructure, with a focus on infrastructure across models, compute, and cloud
Work directly with AI product and engineering teams to understand their requirements for model quality, performance, scale, reliability, and cost, and translate common needs into reusable platform capabilities
Partner deeply with engineering to deliver scalable, resilient system architecture
Partner with cloud and infrastructure teams to advance hybrid and multi-cloud capabilities, including portability, resilience, scalability, and integration with model and cloud providers
Evaluate advances across cloud platforms, model providers, infrastructure services, model-serving technologies, accelerators, and emerging AI infrastructure capabilities, and translate them into pragmatic platform opportunities and roadmap decisions
A highly technical, customer-facing Forward Deployed Engineer to join the Service Delivery organization, providing hands-on engineering expertise to accelerate implementations, solve complex technical challenges, and drive successful production adoption with strategic enterprise customers.
Compensation
Salary: Up to $215,000 (Base + Variable)
Responsibilities
Own hands-on technical execution for assigned strategic enterprise customers
Develop custom policies, plugins, connectors, and integrations to meet customer requirements
Build and optimize deployment automation using Kubernetes, Helm, Terraform, and CI/CD pipelines
Troubleshoot complex API, networking, performance, and infrastructure challenges
Review customer code, configurations, and pull requests to ensure production readiness
The primary responsibilities include designing, implementing and maintaining an enterprise identity and access management system that will eventually scale up to 500,000 users leveraging our current stack of Idira (CyberArk), AWS Cognito, AWS Identity Center and Active Directory.
Compensation
Salary Range: $102,062.00 - $158,178.00
Responsibilities
Designing, implementing and maintaining an enterprise identity and access management system
Collaborating with data engineering, product, infrastructure and other stakeholders to architect solutions and shape system design
Working with IT operations and cybersecurity operations to ensure ongoing compliance with NEA security
Analyzing and preparing status reports on security matters
Monitoring and recommending solutions for correcting issues related to security technology performance and capabilities
Requirements
Bachelor's degree in computer science or a related discipline or an equivalent combination of education and experience
Senior Professional Services Consultant - AI Security to join the team, building long-term, trusted advisor relationships with enterprise Public Sector customers, serving as the primary technical authority and end-to-end delivery owner for tailored AI security solutions.
Compensation
Base Pay Range
$143,500—$205,000 USD
Responsibilities
Build long-term, trusted advisor relationships with customers deploying Zscaler AI Guard across both Proxy Mode and Developer/DAS Mode, AI Protect for AI asset management and visibility, and SPLX automated probing across AWS, Azure, and GCP and Kubernetes environments
Execute automated AI red-teaming and lab replication by designing cloud networking and firewall connectivity for SPLX workers to reach internal AI applications, configuring target endpoints and probes for vulnerability reporting, and replicating complex customer environments for validation
Collaborate with stakeholders to envision and implement future-proof, transformative processes
Advocate customer needs with cross-functional teams to influence product development
Produce documentation, best practices, and demos to enable organizational growth
Requirements
Bachelor’s degree in Computer Science, Computer/Electrical Engineering, or a related field
Senior Network Security EngineerNewNew York Life Insurance Co · US
Senior .NET Full Stack EngineerNewCognizant · Remote, Canada
Forward Deployed Engineer (FDE)NewGravitee · US
Senior Full Stack Security Engineer (Application & Product)NewRunpod · Remote, US
Senior Professional Services Consultant - AI SecurityZscaler · Remote, US