Top Tech Jobs & Startup Jobs

Supports day-to-day Salesforce Marketing Cloud operations by coordinating requests, incidents, campaigns, troubleshooting, status updates, and stakeholder communications. Tracks open items, follows up proactively, escalates blockers, and ensures timely resolution across users, technical teams, clients, and teams working across time zones.

Designs and leads enterprise cloud strategy across AWS, Azure, and Google Cloud. Responsibilities include creating secure, scalable architectures; planning migrations; optimizing performance, reliability, and costs; establishing governance and compliance controls; guiding DevOps teams on containers, microservices, serverless, and CI/CD; overseeing infrastructure-as-code; evaluating cloud technologies; and documenting architecture standards. The role also mentors teams and collaborates with engineering, security, operations, and finance stakeholders.

Conducts end-to-end third-party risk assessments across vendor onboarding, contracting, monitoring, remediation, and offboarding. Reviews SOC 1, SOC 2, and ISO 27001 reports, evaluates data flows and system configurations, monitors regulatory compliance, tracks contract and SLA requirements, coordinates remediation, and maintains GRC inventories, dashboards, and executive reports. Partners with Procurement, Legal, vendors, and business owners to identify and resolve security and compliance risks.

Build, fine-tune, optimize, deploy, and scale traditional machine learning and LLM systems. Responsibilities include prompt engineering, RAG pipelines, backend APIs, inference optimization, model serving, MLOps, automated evaluation, monitoring, testing, A/B experimentation, and production infrastructure. The role requires Python, cloud platforms, containerization, Kubernetes, model-serving frameworks, vector databases, and experience with parameter-efficient fine-tuning, model optimization, and scalable AI applications.

Own end-to-end data modeling, governance, quality, and accuracy across the MDM ecosystem, including warehouse and middleware layers. Develop and deliver modular software and automation, integrate disparate data sources, optimize system performance, and support production incidents. The role requires Python, SQL, AWS, APIs, database expertise, and strong cross-functional collaboration to build a scalable source-of-truth data platform.

Lead the design, implementation, and governance of enterprise digital tagging, server-side event collection, Shopify tracking, consent management, and privacy-aware data architectures. Configure and troubleshoot Tealium-based client- and server-side tagging, integrate GA4, Google Ads, Meta, and other destinations, establish data-layer standards, and implement OneTrust consent controls. Provide technical direction, QA practices, documentation, and escalation support across websites, commerce platforms, tag management systems, and downstream analytics and media technologies.