Jobs at Cevo

Build and grow enterprise client accounts for technology consulting services, leading opportunities from acquisition through delivery. Develop strategic client relationships, manage business development and account plans, shape deal strategy, and align sales pipelines with consulting and recruitment capabilities. Sell cloud, data, AI, and software engineering engagements, including AWS co-sell opportunities. Collaborate with sales and delivery teams while contributing to go-to-market strategy and customer-facing content using AI tools.

Architect and deliver scalable AWS data platforms and lead solution design across Databricks and Snowflake. Define data modelling standards and engineering best practices, oversee transformations (dbt, PySpark, SQL), implement governance and lineage, design streaming solutions, mentor delivery teams, and contribute to pre-sales and commercial activities.

Lead architecture and delivery of scalable AWS cloud data platforms using Databricks or Snowflake. Define modelling standards, enforce engineering best practices (CI/CD, testing), oversee ETL/transformations (dbt, PySpark, SQL), drive governance and lineage, advise on tooling and presales, and mentor delivery teams.

Lead technical design and delivery of scalable AWS-based data platforms, oversee Databricks/Snowflake solutions, enforce engineering best practices (CI/CD, testing), drive data modelling, transformation (dbt, PySpark, SQL), governance and streaming architectures, mentor teams, and support pre-sales and platform/tooling decisions.

Embed with enterprise clients to define outcomes and rapidly deliver production-grade AI solutions. Design and build agentic systems (LLMs, RAG, multi-agent orchestration), use Amazon Bedrock and SageMaker for model development and lifecycle, implement vector retrieval and evaluation pipelines, integrate into enterprise platforms, and ensure responsible AI and regulatory compliance.

Embed with enterprise clients to define outcomes and rapidly prototype production-grade agentic AI systems. Design RAG pipelines, multi-agent orchestration, and LLM assistants using Amazon Bedrock and SageMaker. Deploy end-to-end integrations into enterprise platforms while building responsible AI controls, evaluation pipelines and compliance for regulated industries.

Lead architecture and delivery of scalable AWS-based data platforms (Databricks or Snowflake), define modelling standards, enforce CI/CD and engineering best practices, oversee ETL/transformations (dbt, PySpark, SQL), implement governance and lineage, advise on tooling and trade-offs, support streaming use cases, mentor teams, and contribute to presales activities.