Role Description The Director, DevOps plays a key role in leading the strategy, execution, and continuous improvement of DevOps capabilities across Priority’s technology environment. This role is responsible for building and scaling infrastructure, CI/CD pipelines, and engineering practices that improve reliability, efficiency, and delivery speed. The position requires strong technical depth across cloud, automation, and infrastructure, along with the leadership skills to guide a global team and influence cross-functional partners. You will collaborate closely with Engineering, QA, and IT teams to strengthen system performance, operational excellence, and long-term platform scalability. Responsibilities - Lead and mentor a team of DevOps engineers, ensuring best practices in automation, cloud infrastructure, and CI/CD. - Collaborate with development, QA, and IT teams to streamline deployments and optimize system reliability. - Oversee infrastructure as code (IaC), monitoring, and security implementations. - Drive continuous improvement in DevOps processes and culture. - Evangelize DevOps best practice and technologies, working closely with development teams to drive adoption. - Ensure high availability, performance, and security of applications and infrastructure. - Evaluate and implement new tools, technologies, and methodologies to enhance efficiency. - Keep up to date with industry trends and competitor products. - Measure and analyze product success using relevant KPIs (uptime, cost, adoption). - Act as the subject matter expert for internal teams regarding product direction and supported use cases. - Estimate costs, build business cases, and assist with budget creation. What Success Looks Like - DevOps practices are consistently adopted across teams, improving deployment reliability and engineering efficiency. - Infrastructure and CI/CD pipelines support scalable, secure, and high-performing systems. - Uptime, cost, and adoption metrics demonstrate measurable operational improvement. - Cross-functional teams work effectively together to streamline delivery and reduce friction. - DevOps culture and best practices are embedded into engineering workflows. - The organization is able to scale infrastructure and delivery capabilities in line with business growth. Qualifications - 10-15 years of experience. - 3-5 years of management experience, ideally with a focus on technical/infrastructure products. - 3-5 years of experience as a software engineer, DevOps engineer, or systems architect. - Strong expertise in AWS technologies (EKS, MSK, VPC, RDS, etc). - Significant hands-on experience with CI/CD tools (Jenkins, TeamCity, Octo, GitHub Actions). - Proficiency in infrastructure as code (Terraform, Ansible, CloudFormation). - Strong scripting and automation skills (Python, Bash, PowerShell). - Excellent problem-solving, communication, and leadership abilities. - Can work comfortably in JIRA following the Agile methodology. - Ability to lead cross-functional teams and collaborate effectively. - High resilience and the ability to manage change. Preferred - Experience leading global, distributed DevOps or platform engineering teams. - Experience driving DevOps transformation or large-scale infrastructure modernization initiatives. - Familiarity with site reliability engineering (SRE) principles and practices. - Experience managing budgets, cost optimization, and vendor relationships in cloud environments. - Experience operating in high-growth or enterprise-scale environments. Compensation and Benefits - Compensation range: $138k - $210k. - We invest in the whole employee - personally and professionally. Our benefits package is designed to support your well-being, growth, and success - both inside and outside of work. - Financial Wellness: - Bonus programs - 401(k) match - Employee Stock Purchase Program (ESPP) - HSA and FSA options - Financial wellness resources and employee discount programs - Health & Well-being: - Medical, dental, and vision coverage - Mental health support for employees and dependents through Lyra Health - Family planning and women’s health benefits through Carrot - Gym membership reimbursement and virtual wellness programs (including yoga) - Time Off: - 3 weeks PTO to start, with unlimited PTO after year one - Growth & Development: - Education expense reimbursement - Leadership development programs - Certified Payments Professional (CPP) certification support Traditional Physical Requirements - Requires prolonged sitting, standing, bending, stooping and stretching. - Requires the ability to lift 10 pounds. - Requires eye-hand coordination, manual dexterity and a normal range of hearing and vision (with or without correction). Join our team at Priority Technology Holdings, Inc. and be part of a dynamic and innovative company that is transforming the financial technology landscape. Together, we can shape the future of payments and banking solutions while providing unmatched value to our clients.

• Design, implement, and maintain deployment pipelines for both Cloud and Edge components • Develop Infrastructure as Code using Terraform with focus on modularity and Remote State management • Build and maintain advanced CI/CD pipelines exclusively using GitHub Actions • Manage AWS IoT Greengrass deployments on Linux edge devices for distributed computing • Configure and maintain KEPServerEX on Windows systems for OPC UA industrial connectivity • Ensure secure connectivity between Factory environments and Cloud infrastructure using VPN and Direct Connect • Implement end-to-end observability solutions using CloudWatch and infrastructure metric collection • Manage AWS IoT SiteWise for collecting, organizing, and analyzing industrial equipment data • Design and maintain streaming data pipelines using AWS Kinesis or MSK for real-time data processing • Automate Edge device lifecycle management including provisioning, updates, and monitoring • Implement security best practices for hybrid Cloud-Factory architectures • Monitor and optimize infrastructure performance, cost, and reliability • Troubleshoot complex issues across Cloud and Edge environments • Document infrastructure architecture, deployment processes, and operational procedures • Collaborate with development teams to enable efficient deployment workflows • Stay current with AWS IoT services, edge computing technologies, and DevOps best practices.

Role Description Als „DevOps/Platform Engineer (m/w/d)“ stellst du für unseren KI-Plattform Alan eine sichere, skalierbare, beobachtbare Plattform bereit und etablierst das Prinzip „You build it, you run it“ im Team. Du unterstützt die produktiven Teams auf „paved paths“ (Self-Service, Guardrails) und sorgst für vorhersehbare Performance und Kosten. - Ownership für zentrale Plattform-/Serving-Komponenten übernehmen - K8s-Cluster, Networking (Ingress), Storage (Datenbanken, Snapshots) und OS/Kernel-Patching betreiben und deren sicheren und stabilen Betrieb sicherstellen - Multi-Cloud-Ressourcen (insb. Open Telekom Cloud) per Konsole und IaC (Terraform) modellieren - CI/CD-Pipelines und Release-/Versionierungs-/Rollback-Strategien aufbauen - OpenTelemetry-basiertes Tracing, Metrics und Logs im Bereich Observability & Site Reliability Engineering implementieren, SLIs/SLOs, Alerting und Error Budgets definieren - Plattform für Model Serving gemeinsam mit unseren AI Engineers bereitstellen: GPU-Scheduling, Autoscaling, Inference-Gateways, Observability (Latency/QPS/Token-Kosten) Qualifications - Masterstudium oder Promotion in einem der MINT-Fächer oder einem geisteswissenschaftlichen Fach mit MINT-Vertiefung erfolgreich abgeschlossen - Mindestens 2 Jahre relevante Berufserfahrung in den Bereichen DevOps, Site Reliability Engineering oder Platform Engineering - Nachweisliche Verantwortung für Kubernetes, IaC, CI/CD, Observability sowie den produktiven Betrieb – idealerweise im SaaS-Umfeld - Praxis-Know-how in Git-basierten Deployments, modularer IaC, Secret-/Config-Management sowie Incident-Erfahrung - Security-Fachwissen in Netzwerksicherheit, Secrets, Härtung (CIS), Software-Supply-Chain und Zugriffsprinzipien (Least Privilege) - Idealerweise erste Praxiserfahrung im Betrieb von Inferenz-Workloads (vLLM o. ä.), GPU-Capacity-Management, Autoscaling und Observability - Neugier und Wissbegierde sowie ausgeprägte Problemlösungs- und Kommunikationsfähigkeit - Überzeugende und effiziente Kommunikation in deutscher und englischer Sprache Benefits - Arbeiten an einer hochmodernen, skalierbaren AI-Plattform mit viel Gestaltungsspielraum - Früh Verantwortung für zentrale Infrastruktur- und Architekturentscheidungen übernehmen - Fachlicher Austausch auf Augenhöhe mit zukünftigen Kolleg:innen - Budget und Zeit für eigene Innovationsprojekte - Fachliche und persönliche Weiterentwicklung durch speziell abgestimmte Weiterbildungen, Zertifizierungen und Laufbahnprogramme - Schwerpunktsetzung und Ausbau in Spezialgebieten - Attraktives Fixgehalt zzgl. Umsatz- und Ergebnisbeteiligung - Überstunden ausgleichen und Reisezeiten als Arbeitszeit buchen - Freie Wahl des Arbeitsorts und flexible Arbeitszeit - Top ausgestatteter Arbeitsplatz, JobRad, Body & Mind Workout, GamesNights, Grillen auf der Dachterrasse - Team-Aktionen mit unternehmungslustigen Kolleg:innen, Sommerfeste mit Familienmitgliedern und viele weitere Benefits

CAPCO POLAND *We are looking for Poland based candidate. Hybrid work. Warsaw is preferred. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Our secret? A culture that’s fast, flexible, and fiercely entrepreneurial. We move quickly, think creatively, and always put our people first. We’re passionate about growth - both for our clients and ourselves - and that means attracting the very best talent to join us on this exciting journey. We’re proud to be: • Trailblazers in banking, payments, capital markets, wealth, and asset management • Champions of an agile, nimble, and innovative work environment • Dedicated to building a team of top-notch professionals who share our drive and vision THINGS YOU WILL DO Platform Engineering for ML - Design, build, and improve MLOps platform components that support the full model lifecycle (development à validation à deployment à monitoring). - Create reusable templates and standardized pipelines to reduce time-to-production and improve consistency across teams. Model deployment & release engineering - Implement robust deployment patterns for credit risk models (primarily batch; other patterns as required). - Build & maintain CI/CD pipelines using Jenkins and GitHub, with appropriate quality gates and traceability. - Automate environment configuration and repeatability using Ansible. Monitoring, observability & operational readiness - Implement model and pipeline monitoring covering operational health, data quality signals, and model performance/drift indicators. - Establish dashboards, alerting, and runbooks; partner with stakeholders to ensure alerts are actionable and aligned to business impact. - Drive continuous improvement through post-release reviews and reliability enhancements (no on-call requirement). Collaboration & stakeholder management - Work closely with credit risk modellers to productionise models built with tools such as TensorFlow, MLFlow, and similar. - Translate modelling needs into scalable engineering solutions, balancing pace with control expectations. - Mentor junior team members (nice-to-have) and contribute to shared engineering standards and documentation. SKILLS & EXPERIENCES YOU NEED TO GET THE JOB DONE - 5+ years’ experience across MLOps/DevOps/Platform Engineering, with a track record of delivering production-grade ML or data solutions. - Strong experience building CI/CD and automation using Jenkins and GitHub. - Strong experience with Airflow (Bash), Bash itself, and Groovy for pipeline automation. - Hands-on configuration automation using Ansible. - Strong coding/scripting capability in Python (including PySpark), plus working knowledge of Spark. - Experience with ML tooling such as MLFlow, TensorFlow, and similar, including model packaging and deployment considerations. - Proven ability to implement observability (metrics/logs/dashboards/alerting), with tooling flexibility (e.g., Grafana, Splunk, or similar). - Comfortable working in hybrid environments; experience with Hadoop and an ability to integrate with cloud services (preference for GCP). Nice to have: - Exposure to GCP services, especially Vertex AI and BigQuery. - Experience with secrets management (tooling flexible). - Familiarity with Model Risk Management, SDLC controls, and data lineage concepts in regulated environments. - Prior experience mentoring junior engineers and helping teams adopt standard patterns. ONLINE RECRUITMENT PROCESS STEPS - Screening call with the Recruiter - Capco Hiring Manager Interview - Client’s interview - Feedback/Offer We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.