Jobs at Pythian

Provide 24/7 enterprise network support for global clients. Administer complex multi-vendor LAN, WAN, routing, switching, and firewall environments; troubleshoot escalated and high-severity incidents; configure Cisco networking and security devices; coordinate with ISPs, clients, and onsite teams; and manage network security technologies, VPNs, and SD-WAN solutions.

Provides 24/7 global client support for enterprise network security environments. Configures, manages, and troubleshoots Cisco FMC/FTD firewalls, VPNs, security policies, IDS/IPS, certificates, LAN/WAN infrastructure, routing and switching, and SD-WAN. Handles security incidents, escalated P1/P2 technical calls, risk remediation, and critical network issues while communicating directly with clients. Supports multi-vendor environments including Cisco and Arista.

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.

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.

Provides senior database reliability and infrastructure consulting for clients. Responsibilities include designing, configuring, administering, monitoring, backing up, restoring, and optimizing MySQL database environments; managing replication, clustering, failover, disaster recovery, incidents, and complex changes; improving automation and tooling; supporting presales; documenting solutions; and mentoring database consultants. The role requires strong cloud, infrastructure-as-code, scripting, containerization, client communication, troubleshooting, and technical leadership skills.

Provides database consulting and reliability services for customer environments, including MySQL database design, administration, monitoring, backup and disaster recovery, replication, failover, troubleshooting, and infrastructure optimization. Advises clients on operational best practices, supports incident and change management, enhances automation and monitoring tools, contributes to presales and technical content, and mentors database consultants.

Design, deploy, operate, and optimize large-scale distributed infrastructure across Kubernetes, cloud, networking, storage, and AI/ML environments. Automate workflows, build monitoring and observability solutions, troubleshoot complex system issues, support model-training infrastructure, and participate in on-call rotations and postmortems to improve reliability.

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 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.

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.

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.