Jobs at Cevo

Lead cloud migration and transformation engagements for enterprise clients, owning delivery outcomes, technical quality, timelines, and stakeholder communication. Design and implement AWS landing zones, network architectures, migration roadmaps, hybrid and multi-cloud solutions, disaster recovery, and modernisation patterns. Lead consultant pods, coach senior staff, support estimation and business cases, and contribute to reusable consulting accelerators. Apply infrastructure as code, CI/CD, observability, automation, and emerging AI-enabled migration practices.

Lead client cloud transformation engagements involving AWS migration strategy, portfolio assessment, solution architecture, implementation, infrastructure operations, and hybrid or multi-cloud environments. Lead delivery pods, manage scope and risks, guide consultants, engage stakeholders, support estimating, and contribute to reusable accelerators. Design secure AWS landing zones, networks, distributed systems, modernization architectures, CI/CD and infrastructure-as-code solutions while advising customers and presenting strategies to senior audiences.

Lead enterprise AWS migration and cloud transformation engagements, owning delivery outcomes, customer relationships, technical strategy, and solution implementation. Assess current environments, develop migration roadmaps, design secure landing zones and distributed architectures, and guide infrastructure and operations work. Lead consultant pods, manage risks and stakeholders, contribute to estimates and reusable accelerators, and coach senior consultants. Apply AWS migration tools, infrastructure as code, CI/CD, observability, automation, disaster recovery, cost optimization, and modernization practices.

Lead end-to-end cloud migration and modernisation programs: run discovery and architecture reviews, lead client workshops, manage delivery teams and stakeholder relationships, mentor consultants, perform hands-on implementation (IaC, automation, migrations), and contribute to scoping, proposals, and reusable IP.

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.