Implementar, administrar y mejorar los controles de ciberseguridad de la organización, asegurando la protección de la información, la infraestructura tecnológica y los servicios digitales.
Responsibilities
Implementar y administrar controles de seguridad en entornos on-premise y cloud
Monitorear eventos de seguridad, análisis de alertas y gestión de incidentes
Ejecutar evaluaciones de vulnerabilidades y apoyar en pruebas de seguridad
Gestionar accesos, identidades y políticas de seguridad
Apoyar en la implementación de normativas, estándares y marcos de seguridad (ISO, NIST, etc.)
Requirements
Profesional universitario de las carreras de Ingeniería de Sistemas, Software, Informática, Computación o afines
Nice to have: certificaciones en ciberseguridad (ISO 27001, Security+, CEH)
The Cloud Engineer designs, builds, and operates Allegro's cloud infrastructure and delivery pipelines with security built in from the start. This role turns platform standards into working, repeatable code using Terraform modules, CI/CD pipelines, and automated security checks.
Locations (4)
Manchester, New Hampshire, United States
Massachusetts, United States
Texas, United States
Michigan, United States
Responsibilities
Software composition analysis (SCA)
Deploy, configure, and maintain SCA tooling across source repositories and build pipelines
Onboard application teams and repositories to SCA scanning, and integrate scans as pipeline gates
Lead the design, build, and operation of AI platform and infrastructure for PJT Partners, enabling secure, scalable, and compliant AI application development.
Compensation
Expected annualized base salary of $175,000 to $215,000.
Responsibilities
Design, build, and operate the firm’s AI platform, enabling developers to build and deploy Python-based AI applications
Implement and manage Azure AI Foundry environments, model deployments, AI hubs, project workspaces, and access controls
Integrate and operationalize third-party AI APIs with secure access patterns, API gateway controls, rate limiting, and cost monitoring
Build internal developer tooling and SDK scaffolding to accelerate AI application development
Build and maintain data pipelines using Azure Data Factory and Azure Databricks
Requirements
Bachelor’s degree in computer science, Computer Engineering, or related field
Lead the design, development, and operation of AI applications for Supply Chain and enterprise Digital. A senior individual contributor role combining hands-on engineering, architecture, technical leadership, and mentoring.
Compensation
The salary range for this role is $145,900.00 - $234,200.00.
Responsibilities
Design and build full-stack AI applications, including user interfaces, backend APIs, reusable services, and integrations with enterprise data and systems.
Own delivery from prototype through production, including automated testing, CI/CD, release management, observability, incident response, and ongoing application support.
Use AI coding agents for implementation, refactoring, debugging, and test generation.
Partner with product, architecture, cybersecurity, quality, and validation teams to meet business outcomes, enterprise standards, and applicable regulatory requirements.
Senior Cloud Platform Engineer responsible for ensuring reliability, availability, and performance of applications and services, building monitoring, automation, and incident management.
Responsibilities
Develop and implement strategies for monitoring and alerting of systems health, performance, and security
Develop and implement strategies for incident management, problem management, and change management
Lead creation and maintenance of automation tools and code for configuration management, deployment, and maintenance of cloud-based infrastructure
Collaborate with development and operations teams to ensure proper testing, deployment, and maintenance of application and infrastructure changes
Provide knowledge sharing as a recognized SME through writing complex knowledge articles, mentoring, and staff technical development
Requirements
Bachelor’s degree in information systems/technology, Computer Science, a related field in technical engineering, or equivalent experience
Nice to have: AWS or Azure certifications (AWS/Azure Solutions Architect, Developer, etc)
Lead end-to-end software delivery and platform resiliency for business-critical applications.
Responsibilities
Lead end-to-end software delivery: requirements, design, development, testing, deployment, and post-release support across multiple applications and services
Own platform resiliency: vulnerability management, compliance to enterprise resiliency initiatives, root-cause analysis, problem management, and continuous service improvement
Modernize and maintain applications: reduce technical debt, improve code coverage, manage dependency hygiene, and execute structured refactoring plans
Champion secure SDLC: ensure code quality, security scanning/remediation, secure configurations, and compliance in partnership with security and risk teams
Drive DevOps excellence: automate CI/CD pipelines, environment provisioning, and release management with robust rollback strategies