Jobs at AND Digital

Lead DevOps engineering across large-scale client projects, establishing environments, infrastructure, deployment pipelines, monitoring, and Infrastructure as Code. Mentor junior and mid-level engineers, promote DevOps best practices, and collaborate with operations, delivery teams, stakeholders, and multiple clients. The role requires expertise in Terraform, CI/CD, system administration, scripting, configuration management, cloud platforms, containers, databases, and monitoring.

Develop and manage data pipelines for decision-making and data science applications. Apply strong data quality, flow, and organization practices while coding in Python and SQL. Use Snowflake, Azure Databricks, cloud platforms, associated data services, AI-enabled data practices, and DataOps concepts. Collaborate with clients and multidisciplinary teams, communicate clearly, solve complex problems, and share knowledge.

Provide solution architecture expertise for complex digital projects, translating business and technical requirements into architectural blueprints. Lead target design, architecture standards, system dependencies, and technology decisions across enterprise platforms. Support development teams with complex solutions and code migrations, while coaching product developers. The role also involves client consulting, stakeholder relationship management, and applying cloud, enterprise architecture, Agile, and architectural framework expertise.

Define data strategy, architecture principles, guardrails, and target-state roadmaps in complex cloud-native environments. Design distributed systems, event-streaming platforms, data models, storage architectures, operational and analytical pipelines, and secure data flows. Partner with engineering and product teams to establish pragmatic standards, automation, observability, and resilience. Support legacy modernization, migration, coexistence, reconciliation, and progressive decoupling across regulated environments.

Lead a two-month technical assessment of native mobile versus cross-platform approaches, including React Native. Evaluate performance, scalability, maintainability, cost, adoption, and architectural risks; deliver a proof of concept with engineers; document findings and recommendations; define the target web and mobile architecture, technology stack, shared and platform-specific components, and a prioritized technical backlog.

Lead engineering transformation in complex environments, focusing on large-scale legacy modernization, AWS cloud migration, platform transformation, and modern software delivery. Design engineering operating, ownership, and leadership models; develop business cases, investment profiles, and delivery roadmaps; and manage stakeholders across Engineering, Product, Delivery, and Enterprise Architecture.

Deploy and operate production AI and machine learning architectures, including batch processing systems, real-time microservices, continuous retraining, and observability. Design sustainable machine learning solutions across the full lifecycle using Python, SQL, modern modeling frameworks, cloud platforms, containers, and deployment pipelines. Apply generative AI and LLM tools while communicating technical trade-offs to technical and business stakeholders.

Lead a regional consulting 'Club' with full P&L accountability: drive commercial growth, client relationships (C-suite), delivery excellence, team development, and operational performance while championing company culture and values.

Provide technical leadership for the design, evolution, and scaling of AWS cloud platforms. Build reusable platform capabilities, self-service tooling, automation, and standardized engineering workflows. Improve reliability, scalability, performance, observability, security, and developer experience using cloud-native and SRE practices. Lead complex initiatives, influence architecture and technical strategy, establish engineering guardrails, and mentor engineers across multiple teams.

Lead technical design, build and scale an AWS cloud platform, create reusable self-service tooling, drive infrastructure automation, apply SRE practices for reliability and performance, set platform standards and guardrails, lead complex initiatives, and mentor engineers to improve developer experience and delivery speed.