Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead software development for Twilio-based applications across planning, architecture, implementation, testing, deployment, documentation, and support. Develop applications using React, Redux, Node.js, and Twilio services, with AWS experience. Lead technical requirements gathering, estimate work, mentor developers, provide technical leadership, collaborate with architects and clients, and communicate solutions to technical and non-technical audiences.

Leads Azure solution architecture engagements from discovery through implementation. Designs landing zones, governance, identity, infrastructure modernization, hybrid migrations, and Infrastructure as Code. Partners with sales on scoping, estimates, proposals, and executive presentations while advising client leadership. Mentors technical teams, develops reusable delivery accelerators, and supports Azure practice growth. Requires deep hands-on Azure expertise, consulting experience, Azure certification, and willingness to travel up to 25%.

Design, build, deploy, and optimize AI/ML and generative AI solutions on Databricks. Develop scalable Spark and Delta Lake data pipelines, operationalize models with MLflow, and build RAG and LLM applications. Implement MLOps practices including CI/CD, monitoring, governance, and model deployment. Collaborate with technical, data, engineering, and business teams to deliver enterprise-scale AI platforms and analytics solutions.

Leads Perficient’s Adobe digital marketing consulting capability, owning bookings, revenue, pipeline, solution quality, and billability. Advises enterprise clients on Adobe marketing-stack strategy, identity and data architecture, governance, personalization, content production, migrations, agentic capabilities, and consumption economics. Leads executive workshops, major pursuit reviews, reusable architecture development, hiring, staffing, career progression, and team development. The role requires translating recommendations into deliverable implementation plans and setting practice standards across complex consulting engagements.

Architects enterprise AI/ML and MLOps platforms, translating business goals into scalable AI initiatives. Leads discovery, platform evaluations, proof-of-concepts, reference architectures, CI/CD automation, model lifecycle management, governance, observability, and responsible AI practices. Partners with data scientists, engineers, and platform teams while supporting client workshops, solution pursuits, and implementation roadmaps. Provides expertise across Snowflake, cloud platforms, machine learning infrastructure, generative AI, LLMOps, and emerging AI technologies.

Leads the integration workstream for an Informatica SaaS MDM implementation. Designs, develops, tests, deploys, monitors, and troubleshoots batch, real-time, API-based, and event-driven integrations. Defines architecture and development standards, manages mappings and reconciliation, collaborates with business and data teams, and ensures governance and security compliance. Provides technical leadership, code reviews, mentoring, work allocation, and quality oversight for offshore developers while supporting Agile planning, deployment, and hypercare.

Configure and implement Informatica IDMC MDM solutions across customer, product, and supplier domains. Responsibilities include data modeling, match and merge logic, survivorship, golden records, hierarchies, data quality, governance, stewardship workflows, user access, testing, deployment, documentation, and production support. The role collaborates with business, governance, integration, and data engineering teams to deliver trusted enterprise master data.

Configure and implement Informatica IDMC MDM solutions for customer, product, and supplier domains. Responsibilities include data modeling, match and merge rules, survivorship, golden records, hierarchies, data quality, stewardship workflows, governance, duplicate management, testing, deployment, documentation, and production support. The role collaborates with business stakeholders, data governance teams, architects, integration teams, and data stewards to deliver trusted, governed enterprise master data.

Owns business analysis and delivery for Adobe Experience Manager initiatives. Responsibilities include gathering requirements, managing and prioritizing backlogs, writing user stories and acceptance criteria, facilitating Scrum ceremonies, coordinating developers, architects, UX, QA, and stakeholders, supporting UAT, tracking risks and releases, and leading business-side content migration activities through validation, cutover, and sign-off.

Leads large, global Adobe experience platform programs from mobilization through support, owning client relationships, delivery, financials, resourcing, governance, risk, quality, compliance, and program health. Coordinates distributed teams and discipline leads around committed dates, incorporates regulatory validation and data-residency requirements, and manages Adobe technologies including AEM Cloud Service and Edge Delivery Services. Coaches delivery talent, supports business development, and applies AI within client compliance constraints.