Top Tech Jobs & Startup Jobs

Support AI-native technology advisory engagements by conducting research, technology and data analysis, structuring problems, producing executive-ready recommendations, applying AI tools responsibly, facilitating client workshops, and driving reusable methodologies to ensure high-quality, evidence-backed deliverables.

Perform industry and technology research, analyze data and business processes, translate problems into evidence-based recommendations, prepare executive-ready deliverables, facilitate workshops, and use AI-enabled tools to accelerate and validate advisory work while ensuring quality and reusable frameworks.

Design, implement and improve cloud infrastructure (primarily GCP) and automation for clients. Drive CI/CD, monitoring, security practices, collaborate with engineering teams, and support delivery of scalable, production-ready platforms.

Lead technical delivery and client-facing workstreams, guide and code with teams using TDD, CI, and DevSecOps; design pragmatic solutions, mentor engineers, and ensure high-quality continuous delivery from ideation to production.

Lead data engineering projects end-to-end: design modern data architectures, build and operate large-scale data pipelines, ensure data governance/security, collaborate with stakeholders and data scientists, and coach teams to deliver production data solutions.

Lead the team to ensure operational efficiency, stability, and availability of complex applications. Troubleshoot production incidents, use monitoring and logging for root cause analysis, run upgrades and migrations, apply CI/CD and DevOps practices, mentor peers, and collaborate with clients to deliver reliable, well-tested software and operational improvements.

Lead Developer serves as primary client contact and technical lead, guiding teams from ideation to production. Responsibilities include hands-on coding, applying TDD and continuous delivery, designing pragmatic solutions, championing DevSecOps and best practices, mentoring teammates, and collaborating with clients to deliver high-quality software.

Lead design and deliver end-to-end modern data architectures and large-scale data pipelines. Manage projects and stakeholders, mentor teams, ensure data governance/security/privacy, implement data models, collaborate with data scientists, and apply TDD and continuous delivery practices to operate production data solutions.

Lead design and deliver end-to-end data architectures and large-scale data pipelines. Manage projects and stakeholders, mentor teams, ensure data governance, security, privacy, and production-grade implementations, and collaborate with data scientists to operationalize models.

Assist in administrative tasks, relationship management, and organizing events. Support team initiatives and contribute to process improvements within the workplace operations area.