Top Tech Jobs & Startup Jobs

The Application Security Engineer will define and validate security controls for a high-traffic digital news platform. Responsibilities include threat modeling, architecture reviews, authentication and authorization assessment, API and integration security, secrets management, vulnerability and penetration testing coordination, encryption validation, security monitoring, GDPR privacy engineering, vendor assessments, and remediation documentation.

Configure and develop CMS and DAM capabilities for a greenfield, video-first digital news platform. Responsibilities include content modeling, editorial workflows, publishing, permissions, taxonomy, rights management, asset lifecycle workflows, and integrations with video, search, CDN, and distribution services. The role also supports testing, migration, training, governance, launch stabilization, and long-term platform operations.

Manage accounts payable, accounts receivable, billing, collections, revenue recognition, reconciliations, journal entries, and monthly close activities. Improve Finance processes through automation and AI tools, strengthen internal controls, resolve payment discrepancies, and independently prioritize competing requests. The role requires strong accounting knowledge, US GAAP expertise, process improvement skills, and experience supporting finance operations in a fast-paced environment.

Lead design and delivery of Databricks-based Lakehouse solutions and end-to-end data engineering projects. Build and optimize ETL, streaming and batch pipelines, integrate cloud and on-prem systems, mentor team members, support pre-sales, and ensure governance, security, and platform performance.

Design, build, and operationalize AI agentic solutions across the software lifecycle. Own backend responsibilities, contribute to frontend, define technical requirements, deliver maintainable code, collaborate with clients, and stay current with AI, LLM orchestration, and evaluation practices.

As a Senior Full-Stack C#/.NET Engineer, you will fork and set up existing applications, implement architectural adjustments, and ensure deployment in Azure. The role requires close collaboration with stakeholders and troubleshooting legacy code.

Designs and delivers production-grade GenAI and agentic AI solutions for enterprise clients. Leads discovery, solution architecture, rapid prototyping, technical presales, evaluation, integration, and MVP or first-production delivery. Works with LLMs, enterprise data, workflows, orchestration, vector databases, cloud AI services, and tool-calling systems. Translates ambiguous business problems into validated solutions while addressing cost, security, compliance, observability, responsible AI, adoption, and production readiness.

Deliver end-to-end data science projects using machine learning and deep learning, collaborate with stakeholders, and support client engagement through analytical planning and solution design.

Deliver end-to-end data science projects, collaborate with stakeholders, present analytical findings, support presales activities, and shape the Data Science practice.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.