Senior Software Engineer with strong hands‑on experience in web development and AI agent development, working across Python, .NET, Azure ecosystem, DevOps, UI development, and Oracle ERP/SCM domains.
Responsibilities
Design, develop, and maintain web applications and backend services using Python and .NET
Develop and support AI agents and automation workflows
Build and enhance REST APIs, microservices, and cloud‑native applications
Work within the Azure ecosystem including App Services, Functions, Storage, Key Vault, and Azure Fabric
Implement and manage DevOps practices including CI/CD pipelines
Requirements
Bachelor’s degree in computer science, Computer Engineering, or a related technical discipline such as Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E.)
Master’s degree in computer science or a related field (preferred)
Lead the design, build, and operation of AI platform and infrastructure for PJT Partners, enabling secure, scalable AI applications.
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 (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring
Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm
Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs
Requirements
Bachelor’s degree in computer science, Computer Engineering, or related field (Master’s degree is a plus)
This internship will support the ERP–OPP transformation through practical data integration and migration work, connecting Salesforce, Unit4 and other core business systems through Microsoft Azure.
Compensation
a monthly allowance based on €450,- per month on a basis of a 36-hour work week
Responsibilities
Map data flows, integrations and dependencies between Salesforce/OPP, Unit4 ERP and other core systems connected through Microsoft Azure
Profile datasets, identify duplicates or missing records, and support data clean-up with business teams
Record source-to-target mappings, data definitions, transformations and reference data
Support extraction, transformation and controlled trial loads in test environments under supervision
Help build and test basic SQL queries, scripts, APIs and Azure Data Factory/Fabric workflows
Responsible for designing, building, and maintaining robust data pipelines, analytics products, and automated business solutions using Microsoft Azure and the Microsoft Power Platform.
Compensation
United States: 124,600 - 148,200 USD. Annual Incentive Reference Value Percentage: 15
Responsibilities
Analyze analytical requirements from business stakeholders and translate them into efficient Azure data models and analytics architectures.
Design, build, and maintain scalable data pipelines and integration routines using Azure Data Lake, Azure Data Factory / Fabric, and Synapse/Spark.
Partner with Enterprise Data Governance teams to implement automated data quality controls, data lineage tracking, and DevOps deployment pipelines.
Analyze business process bottlenecks and design automated workflow solutions using Power Automate and Azure Logic Apps.
Create interactive, business-focused dashboards and reports in Power BI to surface key metrics around product innovation, raw material usage, and system usage.
Requirements
A degree in Computer Science, Information Technology, or a related field
Design, build, secure, and support Malibu's identity, collaboration, and cloud infrastructure across all MBI brands.
Responsibilities
Administer, secure, and maintain Microsoft Entra ID, including identity lifecycle, Conditional Access, MFA, Privileged Identity Management (PIM), app registrations, enterprise applications, and SSO integrations for third-party SaaS solutions.
Administer and maintain hybrid identity between on-premises Active Directory and Entra ID, including Entra Connect / Cloud Sync, hybrid join, and directory synchronization health.
Administer Active Directory Domain Services, Group Policy, DNS, DHCP, and Windows Server systems across MBI sites; maintain AD health, replication, and a tiered administrative access model.
Administer Microsoft 365 workloads, including Exchange Online, SharePoint Online, OneDrive, and Teams; manage tenant configuration, licensing, mail flow, retention, and collaboration governance.
Manage endpoint configuration and compliance through Microsoft Intune, including Windows Autopilot, configuration profiles, compliance policies, application deployment, and patch management.
Principal Software Engineer to lead the design and implementation of the next generation PubSub solutions for customers worldwide within the Azure Event Grid engineering team.
Compensation
The typical base pay range for this role across the U.S. is USD $142,800-$274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000-$304,200 per year.
Responsibilities
Drives requirements and design by partnering with stakeholders to define and refine messaging system requirements.
Champions coding best practices, design patterns, and reusable frameworks across the team.
Defines testing strategies for messaging system components, establishing quality gates and success criteria.
Improves engineering productivity by identifying tooling gaps across the cloud messaging development lifecycle.
Drives incident response and operational excellence as a DRI.
Requirements
Bachelor's Degree in Computer Science or related technical field
Nice to have: Master's Degree in Computer Science or related technical field
Nice to have: building highly-scalable cloud services
Nice to have: building Messaging brokers or Pub Sub systems
Senior Data Analyst responsible for designing, managing, and optimizing enterprise data pipelines, data warehouses, and analytics solutions within Microsoft Azure.
Responsibilities
Design, build, and maintain robust enterprise ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or PL/SQL procedures.
Manage and optimize Azure Synapse Analytics (SQL and Spark pools) and Microsoft Fabric Lakehouse.
Develop, test, and tune complex SQL and PL/SQL scripts, stored procedures, packages, and functions to support data integration.
Collaborate with business users to define analytical goals and build Power BI-ready datasets.
Integrate AI and machine learning insights using Azure Machine Learning and Azure OpenAI Service.
Requirements
Nice to have: Knowledge of Azure OpenAI or generative AI data integration
El Analista de Power BI es responsable de convertir datos de negocio en reportes y dashboards claros y confiables en Power BI, para que las áreas usuarias tomen decisiones informadas.
Responsibilities
Diseñar, desarrollar y mantener dashboards y reportes en Power BI Desktop y Power BI Service
Construir modelos de datos (esquema estrella, relaciones, jerarquías) y medidas en DAX
Extraer y transformar datos de múltiples fuentes (SQL, Excel, APIs, data warehouse) con Power Query
Levantar requerimientos con las áreas de negocio y traducirlos en KPIs y visualizaciones accionables
Optimizar el rendimiento de modelos y reportes (actualizaciones programadas, gateways, DirectQuery/Import)
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