Top Tech Jobs & Startup Jobs

Design, develop, and deploy AI-driven full-stack applications. Integrate and optimize AI/ML models, build responsive front ends and scalable back-end APIs, manage databases and cloud services, and deploy applications using Docker, Kubernetes, and CI/CD pipelines. Collaborate with data scientists, designers, and product teams while applying LLM, NLP, MLOps, and blockchain knowledge.

Design, optimize, and support scalable batch and streaming data pipelines using Databricks, Spark, Delta Lake, Kafka, and SQL. Architect governed data lakes with Unity Catalog, implement data quality and access controls, and automate deployments using CI/CD, DevOps, and infrastructure-as-code tools. Collaborate on Generative AI and LLM data pipelines, troubleshoot production issues, and contribute to data platform architecture and scalability.

Aptus Data Labs is hiring for multiple openings spanning cloud infrastructure, data engineering, data architecture, master data management, application integration, AI, full-stack and frontend development, UX/UI, and executive leadership. The company seeks collaborative, adaptable professionals interested in deep technology, artificial intelligence, and impactful real-world projects.

Own global enterprise revenue growth across AI, data engineering, digital transformation, and product offerings. Lead full-cycle B2B sales, strategic GTM execution, CXO engagement, pipeline forecasting, solution shaping, proposals, negotiations, and deal closure. Develop market expansion strategies, pricing models, sales playbooks, and partnerships with hyperscalers and AI/ML ecosystem providers. Represent the company at executive workshops, industry events, and global summits while driving new client acquisition and account expansion.

Lead enterprise data architecture and modernization across global teams. Design and operationalize Databricks Lakehouse platforms on AWS, including ingestion, governance, orchestration, security, and consumption. Implement Medallion architecture across more than 100 sources using Boomi and Databricks pipelines. Own Reltio MDM, metadata, data quality, lineage, cataloging, AI-ready datasets, and enterprise standards. Mentor data engineering and platform teams while partnering with stakeholders on cloud migration, compliance, observability, and cost optimization.

Leads the architecture, development, deployment, and governance of AI, machine learning, and Generative AI solutions. Designs scalable LLM systems using embeddings, vector databases, RAG, fine-tuning, prompt engineering, evaluations, and agentic workflows. Defines AI roadmaps, guides solutions from proof of concept to production, establishes responsible AI and security standards, troubleshoots production performance, collaborates with cross-functional stakeholders, and mentors engineers.

Generate qualified B2B leads for IT, analytics, and AI SaaS offerings by researching prospects, building targeted lists, and conducting cold outreach through email, LinkedIn, and WhatsApp. Qualify inbound leads, schedule sales meetings and demos, maintain CRM records, collaborate on campaigns, personalize outreach using industry research, and report on lead metrics and conversion performance.

Lead AI strategy and roadmap execution while mentoring AI engineers and data scientists. Architect scalable production AI pipelines, optimize inference across cloud and edge environments, and implement MLOps, monitoring, drift detection, retraining, and governance practices. Design and deploy machine learning, deep learning, NLP, generative AI, RAG, and agentic solutions. Collaborate with business and technical stakeholders, evaluate AI opportunities, build investment cases, track ROI, and communicate technical solutions.

Designs end-to-end Databricks Lakehouse architectures, leads enterprise data pipelines, ETL frameworks, and real-time streaming applications. Defines architecture standards, mentors engineering teams, translates business needs into scalable solutions, and implements CI/CD, orchestration, security, and cloud infrastructure practices. Optimizes large-scale data systems for performance and cost while overseeing integrations with Power BI, Kafka, Snowflake, and upstream and downstream platforms.