Jobs at Pythian

Provide Oracle and PostgreSQL database consulting, including solution design, administration, backup and disaster recovery, migrations, monitoring, performance optimization, troubleshooting, and infrastructure improvement. Manage client commitments, reporting, documentation, change controls, and technical communication. Participate in on-call rotations and process-improvement initiatives. Support cloud and on-premises database environments across AWS, Google Cloud, and Azure.

Provide Oracle and PostgreSQL database consulting, including solution design, administration, backup and disaster recovery, migrations, monitoring, performance tuning, troubleshooting, and infrastructure improvements. The role involves client communication, technical documentation, process improvement, automation, cloud database support, and participation in an on-call rotation.

Provides Oracle and PostgreSQL database consulting, including solution design, administration, upgrades, backup and disaster recovery, replication, migrations, performance tuning, monitoring, troubleshooting, and data architecture. Advises clients on infrastructure improvements, documents action plans, prepares reports, supports incident and problem management, and participates in process improvement initiatives and an on-call rotation. The role also involves database migrations between on-premises and cloud environments across AWS, Google Cloud, and Azure.

Provides Oracle and PostgreSQL database consulting, administration, architecture, migrations, backup and disaster recovery, monitoring, performance optimization, and troubleshooting. Designs and implements database infrastructure, supports cloud and on-premises environments, develops automation and action plans, maintains documentation, participates in on-call rotations, and communicates directly with clients. The role also contributes to process improvements and supports migrations across Oracle, MySQL, SQL Server, and PostgreSQL using cloud and change-data-capture tools.

Design, deploy, and operate large-scale distributed systems. Operate Kubernetes clusters and Istio, automate workflows with Go/Python/shell, build observability with Prometheus/Grafana/Loki, troubleshoot networking/storage/performance, support AI/ML infrastructure, and participate in on-call rotations and postmortems to improve reliability.

Design and develop cloud-based data platform solutions, including data pipelines, ingestion, transformation, cleansing, integrations, and data applications. Translate technical requirements into detailed designs, write reliable code, develop test automation, troubleshoot operational issues, tune batch and real-time processing, secure cloud data platforms, and implement CI/CD and monitoring. The role also involves advising client developers and defining efficient operational processes.

Own end-to-end data platform architecture across ingestion, lakehouse, warehouse, transformation, modeling, governance, and analytics delivery. Build pipelines, Spark and SQL transformations, data models, and production code. Design Databricks or Microsoft Fabric lakehouses, implement Delta Lake and medallion architecture, establish access controls and governance, and integrate databases, SaaS applications, APIs, files, and legacy systems. Evaluate platform choices based on client workloads, licensing, skills, and cost.

Develop, deploy, and maintain scalable AI/ML pipelines and production models, including LLMs and generative AI. Optimize model performance, latency, and cost across AWS, GCP, and Azure. Apply MLOps practices such as CI/CD, versioning, monitoring, logging, and maintenance. Collaborate with data scientists, software engineers, solution architects, and cross-functional teams to integrate AI capabilities into products and workflows.

Lead the architecture and development of scalable AI/ML pipelines and production systems, including LLMs and Generative AI. Mentor engineering teams, guide technical decisions, operationalize models, optimize performance and costs, and implement MLOps practices such as CI/CD, monitoring, versioning, and maintenance. Partner with executives, clients, product managers, data scientists, and software engineers to align AI roadmaps with business goals and integrate ethical AI capabilities into enterprise applications.

Develop, deploy, and maintain scalable AI/ML pipelines and production systems, including LLMs and generative AI models. Collaborate with data scientists, software engineers, architects, and clients to integrate AI capabilities into products. Optimize model performance, latency, and cost on AWS, GCP, and Azure, using Docker, Kubernetes, CI/CD, monitoring, versioning, and other MLOps practices.

Lead territory sales for enterprise Data & AI services: hunt new logos, convert inbound, expand accounts, co-sell with hyperscalers, manage full sales cycle, forecast in Salesforce, and coordinate internal delivery resources to close complex managed-services deals.

Operate and improve client infrastructure for availability, efficiency, and visibility. Design and implement automation, monitoring, cloud, and infrastructure solutions; perform maintenance planning, audits, troubleshooting, and multi-system root cause analysis. Advise clients on technology roadmaps, document procedures, mentor teammates, and participate in on-call escalations. The role requires broad cloud, Linux, networking, virtualization, containerization, configuration management, and DevOps expertise.

Drive enterprise sales of AI, data, cloud, database managed services, and production AI solutions across the Midwest. Build territory plans, generate new logos, expand accounts, manage Salesforce pipelines, and lead complex sales cycles from discovery through close. Co-sell with hyperscaler and OEM partners, engage executive buyers, develop proposals and business cases, and coordinate solutions, delivery, legal, and finance teams.

Operate, maintain, and improve client infrastructure focusing on availability, automation, and resiliency. Design and document maintenance procedures, perform root-cause analysis, audit environments for improvements, implement IaC and containerized deployments, administer virtualization and networking, and participate in on-call escalation while mentoring peers and advising clients on technology roadmaps.

Design, deploy, and operate large-scale distributed systems. Operate Kubernetes, Istio, and Linux; automate with Go, Python, and shell; build monitoring with Prometheus/Grafana/Loki; troubleshoot networking/storage/performance; support AI/ML infrastructure; participate in on-call rotations and postmortem reviews.

Enterprise quota-carrying seller responsible for territory planning, new logo hunting, inbound conversion, and account expansion. Sell Data & AI services and Database Managed Services, lead discovery and solution conversations, co-sell with hyperscaler/OEM partners, manage end-to-end enterprise deals, and coordinate internal delivery, solutions, legal, and finance teams. Maintain accurate Salesforce pipeline and forecast, present proposals and RFP responses, and travel as required for client and partner engagements.

Provide advanced PostgreSQL consulting and administration: design and implement DB solutions, ensure HA and DR, perform backups and PITR, monitor and optimize performance, lead migrations and infrastructure improvements, troubleshoot incidents, produce client documentation and reports, participate in on-call rotation, and drive process and monitoring improvements for managed-service clients.

Provide 24/7 enterprise network support and escalations for global clients, administer and troubleshoot multi-vendor LAN/WAN infrastructures, implement security controls, perform IOS/firmware upgrades, coordinate with ISPs and onsite teams, document incidents and RCA, and lead remediation for affected endpoints.

Design, deploy, and operate large-scale distributed systems; manage Kubernetes clusters and Istio; automate workflows with Go/Python/Shell; build monitoring with Prometheus/Grafana/Loki; troubleshoot networking, storage, and performance; participate in on-call rotations and postmortems; ensure infrastructure readiness for AI/ML workloads.

Quota-carrying enterprise sales role focused on selling Data & AI services and Database Managed Services. Build territory plans, maintain forecasted pipeline in Salesforce, lead discovery and solution conversations for Production AI and cloud data platforms, co-sell with hyperscaler and OEM partners, and manage complex deal execution across internal teams to close high-value, recurring-revenue engagements.