Role Description Confiz is seeking a Databricks Platform Engineer to build, automate, and operate the foundational services that make our enterprise Databricks platform secure, scalable, governed, and cost-efficient. This role is responsible for developing reusable platform capabilities, governance automation, CI/CD pipelines, monitoring, and operational tooling that enable engineering teams to deliver data and AI solutions efficiently. The ideal candidate has strong software engineering fundamentals, hands-on Databricks experience, and a passion for building highly automated, production-grade cloud data platforms. - Design, build, and maintain governance automation for Unity Catalog, including access controls, metadata tagging, policy enforcement, and governance-as-code. - Develop metadata-driven frameworks for scalable data ingestion, transformation, and publishing using Spark and Delta Lake. - Build reusable platform services, libraries, templates, and integrations that accelerate development and promote engineering best practices. - Develop and maintain automated data quality pipelines, validation frameworks, quality scorecards, and issue escalation workflows. - Own the Databricks CI/CD framework, including repository standards, automated testing, Databricks Asset Bundles, environment promotion, and release automation. - Implement Infrastructure-as-Code using Terraform and other modern DevOps practices to ensure repeatable, auditable deployments. - Build and maintain monitoring, logging, alerting, and observability solutions for Databricks workloads and platform operations. - Manage platform reliability by supporting incident response, operational runbooks, and continuous service improvements. - Monitor Databricks usage and cloud costs, implementing optimization strategies to improve DBU efficiency and reduce operational expenses. - Support workspace provisioning, identity integration, and access management while automating provisioning workflows where possible. - Partner with architects, data engineers, and platform stakeholders to continuously enhance platform capabilities and developer experience. Qualifications - 5+ years of experience in Data Engineering, Platform Engineering, Cloud Engineering, or a related field. - 2+ years of hands-on experience supporting Databricks in production environments. - Strong proficiency in Python and SQL with solid software engineering practices including testing, version control, and code reviews. - Experience with Databricks Asset Bundles or equivalent deployment tooling. - Hands-on experience with CI/CD platforms such as GitHub Actions or Azure DevOps. - Experience building metadata-driven or configuration-based data pipelines using Spark and Delta Lake. - Working knowledge of Unity Catalog, including governance, permissions, lineage, tagging, and policy automation. - Experience implementing monitoring, observability, alerting, and production support for cloud data platforms. - Experience with Infrastructure-as-Code, preferably Terraform. - Experience with one or more major cloud platforms, including Azure, AWS, or Google Cloud Platform. - Experience optimizing Databricks workloads, managing DBU consumption, and implementing cloud cost optimization strategies. - Databricks certifications (preferred). - Experience with data quality frameworks, identity and access automation, or AI/ML workloads on Databricks is a plus. Company Description We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. To know more about Confiz Limited, visit our LinkedIn page .

Role Description We are seeking an experienced Container Platform Engineer to design, deploy, and operate enterprise-grade Red Hat OpenShift container platforms running mission-critical workloads across on-premises and cloud environments. In this role you will own the end-to-end platform lifecycle — from cluster provisioning and hardening, through workload onboarding and developer enablement, to ongoing operations and continuous improvement. The ideal candidate will bring deep expertise in OpenShift and Kubernetes internals, strong Linux fundamentals, and a security-first mindset, and will partner with application teams, security engineers, and infrastructure stakeholders to deliver a stable, secure, and developer-friendly container platform. Key Responsibilities - Architect, provision, and operate Red Hat OpenShift clusters across on-premises, virtualized, and major cloud environments, applying best practices for high availability, scalability, and security. - Design and implement multi-tenant OpenShift platforms with appropriate project isolation, network policies, quotas, RBAC, and security context constraints. - Automate cluster lifecycle operations — installation, upgrades, scaling, and decommissioning — using OpenShift installer, GitOps tooling (Argo CD, OpenShift GitOps), and IaC frameworks. - Onboard application development teams to the platform, providing clear self-service patterns, project templates, CI/CD integrations, and supporting documentation. - Operate OpenShift networking, including SDN/OVN-Kubernetes, ingress controllers, routes, network policies, and integration with enterprise firewalls and load balancers. - Manage OpenShift storage strategies (block, file, object), including dynamic provisioning, OpenShift Data Foundation, and integration with external storage platforms. - Implement comprehensive monitoring, logging, and tracing using the OpenShift observability stack (Prometheus, Grafana, EFK, Tempo) and integrate with enterprise SIEM and APM tools. - Harden the platform in collaboration with security teams, including image scanning (Quay/Clair), runtime protection, secret management, and continuous compliance with regulatory frameworks. - Design and maintain robust CI/CD pipelines on OpenShift using Tekton, Jenkins, GitLab CI, or Argo Workflows, enabling safe and frequent application deployments. - Develop disaster-recovery and backup strategies for cluster state, etcd, and persistent workloads, validated through regular failover and restore drills. - Plan, test, and execute cluster upgrades across minor and major versions with minimal disruption to workloads, including pre-upgrade validation and rollback strategies. - Partner with application teams to right-size workloads, manage resource quotas, and tune cluster autoscaling for predictable performance and cost efficiency. - Continuously evolve platform tooling and developer experience, capturing feedback from internal users and translating it into roadmap improvements. - Mentor junior engineers and act as an OpenShift subject-matter expert across the broader organization. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of experience operating container platforms in production, with at least three years on Red Hat OpenShift. - Deep, hands-on knowledge of Kubernetes and OpenShift internals, including operators, CRDs, RBAC, and networking. - Strong Linux administration skills, including networking, performance tuning, and troubleshooting. - Hands-on experience with infrastructure-as-code tools such as Ansible, Terraform, or Helm. - Solid experience implementing CI/CD pipelines on OpenShift or Kubernetes using Tekton, Jenkins, or Argo CD. - Strong scripting skills in Bash, Python, or Go. - Working knowledge of cluster monitoring, logging, and tracing tools. - Familiarity with container image security and supply chain hardening. - Excellent troubleshooting, communication, and documentation skills. Preferred Qualifications - Red Hat Certified Specialist in OpenShift Administration or Architect-level Red Hat certification. - Experience operating OpenShift on at least one major public cloud (AWS, Azure, GCP). - Exposure to service mesh implementations (OpenShift Service Mesh, Istio, Linkerd). - Familiarity with regulated environments such as PCI-DSS, HIPAA, or SOC 2. - Experience with GitOps workflows using Argo CD or Flux. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com . Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Role Description As a Staff Software Engineer at the Agent Platform unit, you will be tasked with designing, developing, and operating large-scale, low-latency applications for our Endpoint Protection Platform. You will own the end-to-end lifecycle of high-volume data pipelines handling millions of events per second while ensuring mission-critical stability and data integrity. In this role, you will participate in architecting new features and building a resilient backbone against global cyber threats. What Will You Do? - Design, develop, implement, test, document, and operate large-scale, high-volume, and low-latency applications built to handle several millions of events per second. - Translate business and functional requirements into robust, scalable, and operable solutions that work well within the overall data architecture. - Participate and collaborate with cross-functional teams across SentinelOne to understand business requirements and deliver scalable solutions. - Maintain application stability and data integrity by monitoring key metrics and improving the codebase accordingly. - Understand and maintain the existing codebase through regular refactoring, bug fixes, and feature implementations. - Continuously learn and adopt new technologies to solve high-volume data challenges. Qualifications - Multiple years of professional backend development experience in Java (preferred) and/or Golang, with an understanding of Python as a plus. - Proven experience designing and optimizing the performance of large-scale, high-load distributed systems. - Solid experience with cloud platforms (AWS, GCP, etc.) and container technologies including Docker, Helm, and Kubernetes. - Technical proficiency with data and messaging systems such as Kafka, PostgreSQL, MongoDB, and Redis. - Excellent communication and leadership skills to mentor others, influence technical direction, and collaborate with cross-functional teams. - Prior experience in an enterprise SaaS company or cybersecurity software company (highly preferred). Benefits - Salary starting from 4500 EUR/month. - Annual bonus based on company performance, paid in two installments. - Equity & Rewards: Restricted Stock Units (RSUs), Employee Stock Purchase Plan (ESPP). - Time Off & Wellbeing: Competitive leave benefits, gender-neutral parental leave. - Insurance & Financial Security: Medical and insurance benefits, pension, Employee Assistance Program (EAP). - Work Perks & Flexibility: Global home office allowance. - Wellness & Lifestyle: Meal allowance.

• Create realistic cloud infrastructure tasks involving distributed systems, networking, security, scalability, and reliability • Build reproducible, containerized environments with valid reference solutions and intentionally defective variants • Define measurable requirements across infrastructure configuration, deployed topology, and runtime behavior • Develop deterministic integration, load, security, failure-injection, deployment, and recovery tests • Debug environments, document technical decisions, and review tasks created by other experts.