Top Tech Jobs & Startup Jobs

Architect enterprise platform migration from Jenkins to GitHub Actions with JFrog integration for complex Java and OSGi applications. Design dependency-resolution patterns, IaC blueprints, containerized Kubernetes deployments, governance, secrets management, identity controls, zero-trust standards, rollback strategies, build acceleration, telemetry, and cloud cost optimization.

Configure and support enterprise MarTech platforms spanning CDP, marketing automation, analytics, personalization, experimentation, and reporting. Responsibilities include data ingestion and transformation, audience segmentation, Python scripting, HubSpot workflows and templates, analytics instrumentation, Kameleoon experiments, Tableau dashboards, troubleshooting, documentation, and SDLC-based deployment and production support.

Own end-to-end technical delivery for a Sales Command Center spanning web, iOS, backend, Azure, and Dynamics 365. Translate enterprise architecture into implementation decisions, govern APIs, integrations, security, resilience, and event patterns, and guide distributed senior engineers through production delivery. Lead design and code reviews, engineering standards, testing, observability, release readiness, and stakeholder collaboration across product, architecture, security, CRM, and platform teams.

Lead development of an enterprise Sales Command Center web application using React and TypeScript. Build reusable frontend architecture, role-based workspaces, secure authentication, accessible and performant user experiences, API integrations, telemetry, analytics, and automated testing. Collaborate with iOS engineers on shared patterns and contracts, integrate with Microsoft Entra ID and backend services, and participate in client-facing engineering discussions.

Build backend services, APIs, BFFs, orchestration layers, and reusable business services for a Sales Command Center. Integrate Microsoft Dynamics 365 and Dataverse with enterprise systems using secure REST, asynchronous, and event-driven patterns. Implement authentication, resilience, caching, read models, observability, testing, and CI/CD. Troubleshoot production integrations across user interfaces, backend services, APIs, and CRM systems.

Lead the architecture and delivery of enterprise Generative AI solutions using LLMs, RAG, AI agents, cloud-native platforms, and enterprise integrations. Define AI strategies, reference architectures, governance, security, observability, and implementation roadmaps. Guide architecture reviews, mentor engineering teams, evaluate emerging technologies, and drive production delivery across regulated and enterprise environments.

Design and lead enterprise-scale Adobe Experience Manager solutions, including architecture, integrations, deployment strategies, CI/CD, Dispatcher, CDN, caching, governance, security, and performance optimization. Lead and mentor development teams, make architectural decisions, and collaborate with stakeholders to deliver scalable digital experiences. Required expertise includes AEM, Java, OSGi, Sling, JCR, REST APIs, DevOps, and technical leadership.

Designs, develops, and deploys production Generative AI and LLM applications, including RAG pipelines, AI agents, semantic search, backend APIs, and enterprise data integrations. Builds scalable data and MLOps solutions using Databricks, Snowflake, and AWS. Collaborates across engineering and data teams while optimizing model performance, cost, latency, security, compliance, and privacy, including HIPAA requirements where applicable.

Leads technical sales strategy and solutions engineering for enterprise accounts. Designs high-level architectures spanning cloud, data, AI, digital platforms, modernization, and engineering transformation. Partners with sales, delivery, engineering, and executives on discovery, proposals, RFPs, commercial pursuits, workshops, proof-of-concepts, pricing, and delivery transition. Advises senior client stakeholders, develops solution narratives and reusable offerings, drives account growth, and provides thought leadership on AI-native transformation and modern software delivery.

Lead quality engineering initiatives across enterprise applications, APIs, cloud-native services, and AI-powered solutions. Define test strategies, quality standards, governance, and metrics; mentor QA and automation teams; build scalable UI, API, backend, integration, and end-to-end automation frameworks; integrate testing into CI/CD pipelines; and validate AI applications for accuracy, hallucinations, bias, ranking, inference behavior, and adversarial scenarios.