Top Tech Jobs & Startup Jobs

Designs, operates, and scales AWS and Databricks infrastructure across multi-account environments. Responsibilities include AWS networking, Terraform automation, CI/CD pipelines, EKS/Kubernetes operations, enterprise data integrations, observability, incident response, governance, and platform optimization. The role supports production-grade data workloads and requires strong expertise in cloud architecture, networking, infrastructure as code, operational excellence, and distributed data platforms.

Manages the operational health and effectiveness of the Ford account by maintaining reporting, financial and pipeline visibility, Salesforce data, pursuit governance, contracts, SOWs, change requests, and account processes. Coordinates sales, delivery, finance, and operations teams; prepares executive dashboards and presentations; tracks risks, actions, and commitments; and supports account planning, resource coordination, and leadership governance.

Design and own end-to-end Databricks Lakehouse and AI/BI solutions across cloud platforms. Provide architecture, presales support, POCs, integration, estimations, mentorship, and technical leadership for multi-team deliveries, including batch and streaming data pipelines and GenAI integrations.

Architects fault-tolerant, globally scalable GCP platforms that integrate AI and LLMs into production. Leads Vertex AI and MLOps implementations, RAG and agentic applications, responsible AI governance, compute and FinOps strategy, platform engineering, and SRE reliability practices. Establishes design-doc and architecture-review processes, translates business requirements into technical blueprints, mentors architects and engineers, and supports client pursuits in a consulting environment.

Lead DevOps Engineer responsible for designing and operating AWS infrastructure, Terraform-based infrastructure as code, and GitHub Actions CI/CD pipelines. The role covers cloud architecture, observability, security, automation, containers, disaster recovery, cost optimization, incident response, and reliability engineering. This position also mentors engineers, establishes DevOps standards, documents operational practices, and collaborates with development and architecture teams to improve delivery and platform maturity.

Leads content strategy for an enterprise digital transformation and CMS migration program. Responsibilities include content audits, information architecture, taxonomy, metadata and content modeling, governance, migration and redirect planning, localization workflows, SEO/AEO/GEO optimization, and AI-enabled content operations. The consultant facilitates senior stakeholder workshops, advises clients, coordinates the content workstream, contributes to Agile requirements and delivery, and mentors team members while partnering with design, engineering, analytics, and platform teams.

Lead the architecture and implementation of enterprise-scale Azure data and AI platforms, including data lakes, lakehouses, warehouses, integrations, machine learning, and generative AI solutions. Establish governance, security, MLOps, and AI frameworks; guide cloud modernization, migration, performance, and cost optimization. Translate business needs into technical architectures, present recommendations to executives, lead architecture reviews, support client pursuits, and mentor engineering teams.

Lead the architecture, implementation, integration, and optimization of Oracle EPM Planning solutions. Design planning, budgeting, forecasting, modeling, security, metadata, and reporting frameworks; configure Oracle EPM modules; and apply AI-driven forecasting capabilities. Lead requirements workshops, testing, deployment, stakeholder presentations, and pre-sales activities. Mentor consultants and developers while advising finance and executive stakeholders on enterprise planning transformation initiatives.

Lead data architecture pursuits and complex client engagements, including workshops, requirements analysis, future-state architecture, implementation roadmaps, platform integration, and proof-of-concept development. Communicate complex solutions to technical and executive audiences, lead globally distributed teams, modernize legacy architectures, and provide thought leadership across data management, governance, modeling, cloud, and analytics technologies.

Lead design and implementation of cloud-native Java/Python microservices and AI-powered solutions (LLMs, agents, vector DBs). Participate in full SDLC, ensure performance and scalability, provide production support, and translate business requirements into production-ready architectures on Azure.