Jobs at AgileEngine

Lead the architecture of a multi-petabyte GCP data platform using lakehouse and medallion patterns. Design ingestion, transformation, governance, cataloging, and analytics-serving layers; guide legacy ETL migration; evaluate data tooling; review engineering work; and present architecture decisions to technical and executive stakeholders. The role requires extensive enterprise data architecture experience, client-facing communication, security awareness, and occasional travel to the UK.

Design, build, and maintain scalable platform services and infrastructure. Manage AWS and Kubernetes resources, service boundaries, and service mesh technologies while optimizing performance, reliability, security, and operational excellence. Develop distributed architecture components such as event buses, streaming systems, service registries, and distributed caching. Apply AI-native development tools and collaborate with stakeholders on project status, risks, and technical improvements.

Build and scale customer-facing full-stack applications using TypeScript and modern frontend frameworks. Collaborate with QA, Product Management, UX, Data, and technical leadership throughout the software development lifecycle. Estimate work, deliver product capabilities autonomously, improve development processes, and communicate project status, risks, and issues to stakeholders.

Build and maintain data pipelines, datasets, and tooling for cost attribution, optimization, cost transparency, and financial modeling. Develop scalable ELT/ETL architectures with mature data models and schemas, support committed-use discount management, and ensure data auditing and validation. Collaborate with product, engineering, analyst, and finance stakeholders, communicate technical concepts clearly, and contribute to CI/CD and infrastructure-as-code practices.

Build and maintain data pipelines, datasets, and tooling for cost attribution, optimization, cost transparency, and financial modeling. Develop scalable ELT/ETL architectures, data models, workflow orchestration, auditing, and validation processes. Partner with product, engineering, analytics, and finance stakeholders to support data-driven decisions and committed-use discount management.

Build and maintain data pipelines, datasets, and tooling for telemetry-driven cost attribution, optimization, and financial modeling. Develop scalable ELT/ETL architectures, data models, schemas, workflow orchestration, and validation processes across AWS, GCP, and Snowflake. Collaborate with product, engineering, analytics, and finance stakeholders to improve cost transparency and decision-making. The role also involves CI/CD, Terraform, REST APIs, auditing, and communicating technical concepts to non-technical audiences.

Build and maintain data pipelines, datasets, and tooling for cost attribution, optimization, cost transparency, and financial modeling. Architect durable ELT/ETL systems with mature data models and schemas, implement workflow orchestration, and support auditing and validation. Collaborate with product, engineering, analytics, and finance stakeholders to enable data-driven decisions. The role also involves cloud platforms, CI/CD, infrastructure as code, REST APIs, and communicating technical concepts to nontechnical audiences.

Build and maintain features in a modern Angular application, contribute to frontend architecture and development workflows, implement accessible user experiences, and participate in code reviews. Collaborate with UX, product, and engineering teams across initiatives, contribute to backend development as needed, and use AI-assisted tools such as Claude. The role requires strong frontend engineering experience, maintainable coding practices, effective communication, and significant overlap with US time zones.

Build and maintain data pipelines, datasets, and tooling for cost attribution, optimization, cost transparency, and financial modeling. Develop telemetry-driven data solutions, support committed-use discount modeling, improve ELT/ETL maintainability, and enhance data modeling and schema maturity. Collaborate with product, engineering, analytics, and finance stakeholders while ensuring data auditing, validation, and clear communication of technical concepts.

Owns the technical direction, reliability, and orchestration of a managed enterprise data platform across AWS, EKS, Kubernetes, Argo Workflows, Snowflake, S3, ingestion pipelines, and Tableau. Leads cloud architecture, infrastructure as code, CI/CD, observability, incident response, service transitions, security, capacity, and continuous improvement. Coordinates cross-platform troubleshooting, manages major incidents, establishes operational controls, and mentors distributed engineering teams supporting a regulated healthcare environment.

Build and maintain data pipelines, datasets, and tooling for telemetry-driven cost attribution, optimization, cost transparency, and financial modeling. The role supports product, engineering, analytics, and finance stakeholders through reliable data infrastructure, committed-use discount modeling, data modeling, schema maturity, auditing, and validation. Responsibilities also include workflow orchestration, cloud data platform integration, CI/CD, infrastructure as code, REST API development, and communicating technical concepts to nontechnical audiences.

Build and maintain data pipelines, datasets, and tooling for cost attribution, optimization, financial modeling, and cost transparency. Develop telemetry-driven solutions, committed-use discount models, data models, and maintainable ELT/ETL systems. Partner with product, engineering, analytics, and finance stakeholders while ensuring data auditing, validation, and clear communication of technical concepts.

Build and scale reliable platform services and core infrastructure. Manage AWS and Kubernetes resources, optimize system performance, enforce security and operational excellence, and develop distributed architecture components such as service registries, streaming systems, event buses, caching, and polyglot persistence. Collaborate with engineering, data science, and leadership teams while applying AI-native development tools and practices.

Build and maintain data pipelines, datasets, and tooling for cost attribution, cost transparency, optimization, committed-use discount modeling, and financial modeling. Design maintainable end-to-end ELT/ETL systems, data models, and schemas while supporting auditing, validation, CI/CD, infrastructure as code, and collaboration with technical and finance stakeholders.

Build and maintain data pipelines, datasets, and tooling for cost attribution, optimization, telemetry-driven analysis, and financial modeling. Develop scalable ELT/ETL architectures, data models, schemas, and workflow orchestration. Support cost transparency, committed-use discount modeling, data validation, and auditing while collaborating with product, engineering, analytics, and finance stakeholders.

Owns the reliability, architecture, orchestration, and operational excellence of a managed enterprise data platform across AWS, EKS, Kubernetes, Argo Workflows, Snowflake, S3, ingestion pipelines, and analytics dependencies. Leads platform transitions, incident response, observability, release controls, infrastructure automation, security, capacity management, and continuous improvement. Provides technical direction, mentors distributed engineering teams, manages escalations, and coordinates cross-functional stakeholders in a regulated healthcare environment.

Lead complex technical programs involving product integration and AWS-to-GCP cloud migration. Coordinate engineering, testing, data, cloud, and product teams; manage dependencies, risks, milestones, validation, data reconciliation, cutover readiness, and executive reporting. Translate strategic goals into detailed technical workstreams and execution plans while supporting distributed teams across India and North America.

Architect and manage GCP infrastructure using Terraform, GKE, Docker, Helm, and serverless services. Build Azure DevOps CI/CD pipelines, automate deployments, integrate security controls, and lead AWS-to-GCP migrations from assessment through production cutover and rollback planning. Improve reliability, scalability, monitoring, performance, and cost efficiency while automating operations with Python, Bash, PowerShell, or Go. Use AI coding assistants for migration analysis, implementation, troubleshooting, and documentation.

Build and maintain data pipelines, datasets, and tooling for telemetry-driven cost attribution, optimization, and financial modeling. Develop ELT/ETL architectures, data models, schemas, workflow orchestration, and cloud data integrations. Support cost transparency, committed-use discount modeling, data auditing, validation, and stakeholder decision-making across product, engineering, analytics, and finance teams.

Creates visual concepts and digital designs for e-commerce, web, mobile, and omnichannel marketing experiences. Develops wireframes, sitemaps, and information architecture; collaborates with clients and design teams; provides strategic, data-backed solutions; estimates and manages work; mentors junior designers; and uses emerging tools and AI to improve design workflows.