Role Description We’re hiring a Senior Cloud Native Platform Engineer to build, operate, and improve the cloud-native platform foundations that support AI applications and services at scale. In this hands-on platform engineering role, you’ll work on shared Kubernetes-based platforms , deployment patterns, observability foundations, infrastructure automation, and operational tooling that help internal teams run services safely and efficiently on GPU-backed infrastructure . You’ll partner closely with software engineering, infrastructure, and SRE teams to ensure platform capabilities meet real developer and operational needs. This role is important to the reliability, scalability, and usability of Nscale’s platform. You’ll take ownership of significant platform components, deliver complex technical work independently, and raise the quality of operations and engineering through practical improvements, sound technical judgement, and mentoring. What you'll be doing - Platform Operations & Engineering - Build and improve shared cloud-native platform capabilities used by internal engineering teams to run AI applications and services. - Own significant parts of the platform area, including Kubernetes cluster operations, workload runtime configuration, deployment workflows, observability foundations, or environment automation. - Improve the reliability, scalability, and supportability of platform services through practical engineering and operational enhancements. - Develop automation, tooling, and configuration that reduce manual effort, improve consistency, and make the platform easier to use and operate. - Apply software engineering where it creates leverage, including scripts, services, CI/CD automation, operational tooling, and platform integrations. - Reliability, Operability & Automation - Improve incident prevention, detection, response, and recovery across the platform areas you support. - Build and refine observability for platform services, including metrics, logs, tracing, dashboards, alerts, and other useful operational signals. - Strengthen rollout safety, capacity awareness, failure handling, and recovery procedures for production environments. - Debug and resolve complex issues spanning Kubernetes, Linux, networking, storage, workload runtime behaviour, and cloud or datacentre infrastructure dependencies. - Enhance operational playbooks, runbooks, and engineering practices to reduce toil and increase service resilience. - Team Technical Contribution - Contribute to design discussions, code reviews, and operational standards within the platform engineering team. - Collaborate with software engineering, infrastructure, and SRE teams to deliver platform capabilities that are practical, supportable, and aligned to operational needs. - Define sensible defaults, paved roads, and supportable patterns for service deployment and runtime operations. - Mentor less experienced engineers in platform engineering fundamentals, operational judgement, and good automation practices. KPIs - Platform reliability and service resilience - Reduction in manual operational toil - Incident detection, response, and recovery effectiveness - Observability and operational readiness of platform services Qualifications - Strong hands-on experience operating and improving Kubernetes-based platforms in production. - Solid experience with infrastructure automation, CI/CD, configuration management, or GitOps-style workflows. - Strong understanding of reliability engineering principles, including observability, incident response, failure analysis, and operational readiness. - Experience writing production-quality automation, tooling, or backend code in Go, Python, Bash, or similar languages. - Good Linux fundamentals, including processes, filesystems, cgroups, service behaviour, and system debugging. - Good networking fundamentals, including TCP/IP, DNS, routing, load balancing, and container or overlay networking concepts. - Experience debugging complex production issues across multiple system layers. - Ability to work independently on substantial technical problems while collaborating effectively with adjacent teams. - Experience mentoring or supporting less experienced engineers through practical technical guidance. Benefits - Highly competitive US compensation package (base + bonus + equity), with performance reviews every 12 months. - Join one of the fastest-growing AI infrastructure companies — your chance to directly shape how global AI capacity is planned and deployed. - Expect a dynamic progression plan tailored to your ambitions. - Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.

Role Description The Platform Engineering team is seeking a Senior Software Engineer to help further our vision of making it effortless for SiriusXM technologists to build, deploy, and operate the software that drives our business. In this role, you will be responsible for: - Developing reusable platform components. - Streamlining cloud infrastructure management. - Driving developer productivity across the organization. - Working directly with internal development teams to help them be successful in adopting the platform. As a senior member of the team, you will: - Promote standardization and simplify cloud-native development by developing CDK libraries and Infrastructure-as-Code patterns. - Provide expert guidance and assistance to internal developer teams. - Build and enhance support tooling by incorporating AI solutions to enable more self-service capabilities. Qualifications - 5+ years of experience as a Software Engineer or related technical role (e.g. SRE, DevOps Engineer, Cloud Engineer). - Have played a major role in large software development projects in the cloud (preferably AWS). - Fluency in at least two programming languages. - Experience managing cloud infrastructure with infrastructure as code (preferably CDK and CloudFormation). - Experience building and maintaining modular, reusable software libraries or APIs. - Strong understanding of software deployment pipelines (preferably via GitHub Actions) and software release management. - Passion for improving developer experience and productivity. - Exceptional communication and collaboration skills. Requirements - Familiarity with using Datadog or other observability platforms. - AWS professional or associate certifications. - Experience with TypeScript and/or Python. - Must have the legal right to work in the U.S. Benefits - Base salary range: $100,800 to $170,000, depending on skills, qualifications, and experience. - Eligibility for discretionary short-term and long-term incentives.

Role Description We are seeking a seasoned SAP Basis / SAP Platform Engineer responsible for the architecture, installation, configuration, performance tuning, and day-to-day operation of complex SAP landscapes that may span on-premises, hybrid, and cloud-hosted environments. This role is critical to keeping mission-critical SAP systems available, performant, secure, and compliant. The ideal candidate will bring deep expertise across SAP NetWeaver, S/4HANA, HANA database administration, system copies, upgrades, and migrations, and will partner with infrastructure, security, and SAP functional teams to deliver a stable, well-governed SAP platform. Key Responsibilities - Architect, install, configure, and operate SAP landscapes including S/4HANA, ECC, BW/4HANA, Solution Manager, and other NetWeaver-based systems across on-prem and cloud environments. - Administer SAP HANA databases — including installation, sizing, replication, backup, recovery, and performance tuning — to meet demanding availability and performance SLAs. - Plan and execute SAP system copies, refreshes, and post-copy automation activities to support development, testing, training, and migration scenarios. - Lead SAP upgrades, EHP installations, Support Package application, kernel upgrades, and S/4HANA conversions with minimal disruption to business operations. - Design and implement SAP migrations to cloud platforms (AWS, Azure, GCP) and SAP RISE/Grow environments, including network and identity integration. - Configure and operate high-availability and disaster-recovery solutions for SAP, including HANA System Replication, cluster-based failover, and validated DR runbooks. - Implement and maintain SAP transport management strategies, including Solution Manager ChaRM and CTS+ workflows. - Manage SAP user provisioning, role management, and audit support in close collaboration with the SAP Security/GRC team. - Monitor SAP system performance, capacity, and health using Solution Manager, Focused Run, native HANA tools, and external APM platforms. - Develop automation scripts and runbooks using Ansible, PowerShell, or Python to reduce operational toil and accelerate routine tasks. - Manage and remediate SAP security notes, kernel patches, and database patches in accordance with internal security and compliance policies. - Provide 24x7 on-call support for production SAP systems and lead structured incident response and post-incident reviews. - Document SAP architecture, operations procedures, and standard operating processes to support knowledge sharing and team scalability. - Mentor junior Basis engineers and contribute to the broader SAP platform roadmap. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. - Five or more years of SAP Basis / platform engineering experience in large enterprise environments. - Strong hands-on experience administering SAP HANA databases in production. - Experience operating S/4HANA, ECC, BW/4HANA, Solution Manager, and other NetWeaver systems. - Hands-on experience with SAP migrations to cloud platforms such as AWS, Azure, or GCP. - Strong experience with SAP upgrades, EHP/SP application, and system conversions. - Solid experience with SAP HA/DR strategies, including HANA System Replication and clustering. - Working knowledge of SAP transport management and Solution Manager ChaRM. - Scripting skills in Bash, PowerShell, Python, or Ansible. - Strong troubleshooting, communication, and documentation skills. Preferred Qualifications - SAP certifications in HANA, S/4HANA, or Basis administration. - Experience with SAP RISE / Grow and SAP Cloud ALM. - Familiarity with SAP BTP and integration with hyperscaler-native services. - Exposure to infrastructure-as-code for SAP landscapes (Ansible, Terraform). - Experience operating regulated SAP workloads (SOX, GxP, PCI). 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. 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.

• Design, build, and maintain observability pipelines using the Elastic Stack (Elasticsearch, Kibana, Fleet) across Azure and AWS workloads • Develop and own SLO/SLI dashboards and error budget reporting for BaaS platform services • Respond to and lead incident response for distributed, multi-tenant cloud workloads; own runbook creation, maintenance, and continuous improvement • Build and refine proactive support tooling, including pattern analysis, tenant correlation dashboards, and baseline deviation alerting, to reduce reactive support burden • Manage and maintain Elastic Fleet agent policies, enrollment health, and log streaming pipelines across Azure and AWS worker fleets • Partner with SRE, R&D, and Proactive Support teams to close observability gaps, including tenant identification workflows and admin portal integrations