Top Tech Jobs & Startup Jobs

Leads the technical direction, architecture, design, and delivery of custom software solutions using Salesforce CPQ. Manages and mentors development teams, establishes software quality standards, evaluates scalability and performance, coordinates cross-functional technical efforts, and resolves complex integration and development challenges aligned with business objectives.

Design, develop, and maintain scalable data solutions, pipelines, and ETL processes using Snowflake. Ensure data quality across structured and unstructured data, monitor and troubleshoot pipeline performance, document workflows, collaborate with cross-functional teams, and support junior team members.

Designs and implements scalable data platform architecture using Databricks. Collaborates with integration and data architects to align systems and data models, ensures platform performance, security, governance, and quality, and supports complex analytics workloads. Leads cross-functional decisions, mentors team members, troubleshoots platform issues, and develops solutions spanning multiple teams.

Develop and enhance custom software solutions using prompt engineering, modern frameworks, and agile practices. Design, code, document, troubleshoot, and review software components while collaborating with teams and contributing solutions independently. The role requires prompt engineering expertise, with Python and large language model experience preferred, plus at least three years of relevant experience and 15 years of full-time education.

Provides functional and technical expertise for application planning, analysis, architecture, and capability delivery. Facilitates impact assessments, develops and reviews client work estimates, gathers requirements, translates them into technical specifications, and collaborates with cross-functional teams. The role requires PySpark, cloud data architecture, distributed computing, data integration, ETL, application design patterns, and mentoring junior professionals.

Designs, develops, and deploys enterprise-grade AI solutions using Generative AI, Agentic AI, large language models, cloud services, and deep learning frameworks. Leads solution design, aligns AI capabilities with business objectives, mentors junior professionals, advises stakeholders, and delivers scalable, production-ready applications. The role requires expertise in prompt engineering, AI evaluation, NLP, TensorFlow or PyTorch, and cross-functional technical leadership.

Design and develop production-ready AI and machine learning applications using LLMs, generative AI, cloud or on-premises pipelines, deep learning, NLP, neural networks, chatbots, and image processing. Collaborate with cross-functional teams, research emerging AI advancements, optimize solutions for scalability, test application quality, and provide technical guidance to junior team members while independently contributing as a subject matter expert.

Lead digital architecture advisory, transformation planning, product and platform architecture, and AI-native engineering for enterprise web and mobile products. Advise senior business and technology leaders, guide cloud-native delivery, integrate CRM, DXP, and CMS platforms, and lead teams building AI agents, personalization capabilities, conversational interfaces, and intelligent cross-channel experiences.

Design, build, and configure custom software applications that meet business and application requirements. Collaborate with stakeholders and cross-functional teams, optimize distributed data pipelines for performance and scalability, troubleshoot complex issues, document application designs, and guide junior team members. The role requires independent ownership, strong PySpark expertise, and familiarity with Apache Spark and large-scale data processing.

Develop and refine end-to-end system features spanning user interfaces, backend code, and cloud-based data solutions. Build and optimize data pipelines using Microsoft Azure Databricks, distributed computing, and big data technologies. Collaborate with cross-functional teams, contribute to agile delivery, improve system performance and user experience, and mentor junior team members while providing independent technical leadership.