Top Tech Jobs & Startup Jobs

Owns end-to-end delivery of AI-powered automation, intelligent agents, copilots, and LLM workflows. Engages stakeholders, gathers requirements, designs architectures, evaluates feasibility and ROI, develops Python and Azure-based solutions, and manages testing, deployment, monitoring, and support. The role uses Azure OpenAI, LangChain, LangGraph, RAG, embeddings, APIs, microservices, and cloud data platforms while leading demos, UAT, delivery timelines, and continuous innovation.

Leads Azure cloud platform architecture, infrastructure automation, IaC, CI/CD, security governance, observability, reliability, disaster recovery, and FinOps. Designs landing zones and platform services, drives cloud modernization, establishes engineering standards, automates provisioning and operations, leads incident response, and mentors cloud and DevOps engineers. Partners with application, data, and security teams to deliver scalable, secure, compliant, and cost-effective Azure solutions.

Design, build, and maintain scalable automated test frameworks for multi-tier, microservices-based, distributed, and cloud-native systems. Develop UI, API, integration, regression, and performance tests; integrate automation into CI/CD pipelines; analyze failures; document results; estimate testing effort; collaborate with developers, DevOps, product teams, and stakeholders; and provide technical leadership on quality engineering practices.

Partner with Product GTM leadership to structure ambiguous problems, generate market and product insights, and create executive-ready narratives and presentations. Support GTM strategy, packaging, positioning, partnerships, commercialization, leadership reviews, and operating cadence. Synthesize inputs across product, sales, and partners into clear recommendations, while using AI tools to accelerate research, analysis, content creation, and workflow optimization.

Lead enterprise software sales across an assigned territory, including prospecting, business development, partner-channel development, customer acquisition, expansion, forecasting, negotiations, and contract closing. The role owns strategic sales plans, revenue targets, new-logo acquisition, direct and indirect sales channels, and performance reporting. Candidates need deep experience selling data integration, analytics, and management solutions to enterprise customers, with the ability to communicate technical and business value to executives and technical stakeholders.

Lead hands-on Databricks, Spark, and Delta development for lakehouse migration engagements. Responsibilities include legacy platform conversion, development standards, code reviews, validation frameworks, parallel runs, data reconciliation, cutover execution, performance tuning, AI-assisted development, and mentoring engineering teams.

Architects and operates large-scale distributed data platforms using Databricks and Spark. Responsibilities include designing Databricks deployments, optimizing Spark and Delta Lake workloads, implementing Infrastructure as Code, leading incident response, and establishing performance standards. The role requires production ownership and experience with data or cloud engineering, Databricks, Spark, and Infrastructure as Code. Streaming architecture, AI/ML workload enablement, and FinOps cost optimization are advantageous.

Develop and enhance complex full-stack web applications for a data and identity platform. Collaborate with product, engineering, and project teams in an Agile environment; guide team priorities, resolve functional and performance issues, remediate vulnerabilities, coordinate implementation plans, review code, and mentor junior engineers. The role requires expertise in Vue.js, JavaScript, Java, Node.js, TypeScript, cloud platforms, REST APIs, automated testing, infrastructure as code, release automation, and Linux.

Develop and optimize SQL-based data pipelines, build staging, ODS, and warehouse layers, create file ingestion and outbound workflows, validate and reconcile data, implement incremental processing and change data capture, tune performance, and support hybrid legacy-to-cloud data warehouse migrations.

Develop and maintain the Hickory application across frontend and backend components. Responsibilities include building React and NextJS interfaces, backend services and APIs, user management workflows, provisioning automation, data mapping functionality, cloud integrations, and secure, scalable code. The role also involves database interaction, authentication and authorization, and use of Azure services.