Why join Nextech? We are a leader in specialty healthcare technology solutions. We’re committed to hiring and retaining talent, which is why we invest in our employees through competitive pay, a generous bonus structure, great healthcare, a comprehensive wellness program, and many other benefits. If you are a software engineer, finance or accounting professional, customer support specialist, or a business development expert with a passion for healthcare technology (just to name a few), we want to hear from you. We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics are encouraged to apply. If you are a candidate in need of assistance or an accommodation in the application process, please contact talent@nextech.com. Job Summary The Senior DevOps Engineer role is focused on continually improving Nextech’s infrastructure, automation and operations. In collaboration with other DevOps Engineers, Software Development Engineers and Cloud Engineers, you will support our efforts to deliver high-quality, high-value, scalable solutions to our customers. All activities must be in compliance with Equal Employment Opportunity laws, HIPAA, ERISA and other regulations, as appropriate. Essential Functions - Infrastructure Automation & CI/CD: Design, implement, and maintain scalable infrastructure and automation processes, including Infrastructure as Code (IaC), CI/CD pipelines, configuration management, and monitoring systems. - Cross-Functional Collaboration: Partner with engineering teams to understand their technical needs and develop automated solutions that improve efficiency, scalability, and system reliability. - Monitoring & Optimization: Continuously enhance monitoring, alerting, and observability frameworks to proactively identify system performance and reliability improvements. - Continuous Improvement: Drive ongoing improvements in automation, infrastructure management, and process optimization to ensure high system availability, stability, and performance. - Mentorship & Leadership: Provide technical leadership and mentorship, conduct training sessions, and lead by example in best practices for DevOps, CI/CD, and infrastructure management. - Operational Excellence: Ensure the stability and reliability of production systems through day-to-day operations, incident response, and root cause analysis, including after-hours on-call support as needed. - Strategic Initiative Ownership: Take ownership of key projects, from concept to execution, ensuring alignment with business objectives, timelines, and technical requirements. - Effective Communication: Communicate technical concepts clearly and effectively to stakeholders at all levels, fostering collaboration and transparency across teams. - Carry out additional responsibilities as assigned based on business need. Minimum Requirements - 5+ years of working experience in the tech industry - 4+ years of DevOps experience - Strong understanding of Azure - Proven record of implementing DevOps in a Windows-based environment - Experience using Infrastructure as Code (IaC) tools such as Terraform to automate the creation of infrastructure - Experience implementing configuration management tools such as Ansible, Puppet, or Chef - Experience building secure CI/CD pipelines leveraging tools like Azure DevOps, GitHub Actions, or Jenkins - Experience with at least 1 scripting or programming language such as PowerShell, Python, .NET - Hands-on experience working with APM solutions such as Dynatrace, Datadog or New Relic - Experience working in an Agile method environment Preferred Qualifications - At least one Cloud related certification Working Environment/Physical Demands - 100% Remote - Activities require a significant amount of work in front of a computer monitor Total Rewards Generous annual bonus opportunity 401(k) with Employer Match Flexible Time Off: take time off when you need it without worrying about available hours 11 paid holidays Volunteer Time Off Insurance: Choice of Medical, Dental, and Vision plans Health Savings Account with employer match Flexible Spending Account 100% Company-Paid Parental leave (After 6 months with the company) 100% Company-Paid Life Insurance and Short/Long Term Disability Insurance Nextech Luminary Peer Recognition Program Wellness Program including discounts on medical premiums Employee Assistance Program with free counseling sessions available Corporate Discounts on Retail, Travel, and Entertainment Pet Insurance options

• Planning • Analyzing customer requirements for software components, system availability, security, and performance • Designing and documenting complete cloud hosting systems, including capacity planning software and instance type selection, allocation, and network design • Estimating the costs of the recommended system design • Building systems by executing installation, configuration, and testing of cloud resources • Using automation and configuration management to ensure repeatability and traceability of changes • Troubleshooting system hardware, software, networks, and operating systems • Protecting the integrity and security of systems through proper use of controls and monitoring tools • Maintaining system performance through system monitoring and analysis, performance tuning, and planning for future growth • Designing and running load and stress tests, documenting outcomes, and debugging infrastructure issues • Maintaining internal systems and customer deployment documentation • Partnering with project managers, technical consultants, software architects, and developers to validate infrastructure deliverables against the requirements • Responding to support tickets and incidents in a timely manner that corresponds to SLA commitments. • Contributing to the definition of best practices, operational policies, and procedures • Establishing, documenting, and testing disaster recovery procedures

• Construir, desplegar y mantener pipelines de ML en modelos de machine learning listos para producción • Procesar enormes flujos de datos para flujos de trabajo de ML escalables • Definir y desarrollar APIs y servidores MCP para apoyar soluciones de ML • Trabajar en colaboración con Científicos de Datos, Ingenieros de Datos, y ML Engineers para coordinar pipelines, mantenimiento y entrenamiento en producción • Procesar y gestionar conjuntos de datos estructurados y no estructurados a gran escala • Aplicar conocimiento empresarial para analizar datos, generar insights y resolver problemas complejos • Realizar análisis de datos ad-hoc basado en necesidades empresariales • Participar en el análisis de problemas y resolución relacionados con el flujo y contenido de datos con partes interesadas • Establecer relaciones sólidas con clientes y equipos internos, asegurando alta satisfacción del cliente • Promover mejores prácticas, innovación y mejora continua en los procesos de MLOps

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are hiring for a highly experienced Senior Staff SRE Engineer to act as a senior technical authority within our reliability function. This is a deeply hands-on individual contributor role, to build and operate SRE practices at scale. You will: - Design and evolve resilient infrastructure - Drive reliability across multiple engineering streams - Ensure our AI-driven products operate with high availability, performance, and security - Work across platform, product, data, and ML teams - Help productionise models and standardise customer environments - Strengthen Kubernetes-based architecture - Mature our CI/CD pipelines end-to-end - Collaborate with other Staff engineers and Architects to shape the global product architect and technology vision Responsibilities - Architect, deploy, and operate scalable, secure production environments (AWS preferred) - Lead reliability improvements across multiple engineering streams - Design and evolve Kubernetes-based infrastructure, including migration and optimisation initiatives - Build and enforce strong Infrastructure-as-Code standards - Define and operationalise SLIs, SLOs, and error budgets - Strengthen observability across applications, infrastructure, data pipelines, and ML systems - Work closely with product and data teams to integrate model analytics and product telemetry into reliability insights - Work across and optimise the entire CI/CD pipeline, from build to deploy to rollback - Improve release safety, deployment frequency, and predictability of SLAs - Lead incident response for complex cross-system failures and drive postmortems - Reduce operational toil through automation and platform engineering improvements - Design processes and tooling to absorb, standardise, and troubleshoot customer environments - Support and productionise ML workloads (MLOps practices including model deployment, monitoring, retraining workflows) - Ensure infrastructure aligns with enterprise-grade security and regulatory requirements - Mentor engineers and raise the overall reliability bar across teams Qualifications - Extensive hands-on experience in SRE or Production Engineering roles - Demonstrated experience building or scaling SRE practices in high-growth or complex environments - Deep expertise in AWS or Azure-based cloud infrastructure - Strong experience with Kubernetes (including migration, scaling, and production hardening) - Advanced Infrastructure-as-Code experience (Terraform or equivalent) - End-to-end CI/CD pipeline design and optimisation experience - Strong experience with observability tooling across distributed systems - Experience troubleshooting complex multi-tenant or customer-hosted environments - Experience supporting production data platforms and ML systems - MLOps experience, including model deployment and monitoring - Strong understanding of distributed systems, scalability, and fault tolerance - Systems thinker who understands interactions across infrastructure, product, data, and ML - Excellent communication skills and ability to work cross-functionally Preferred Experience - Experience in large-scale global B2B/B2C products - Experience working with AI/ML systems, NLP, or LLM-based products - Experience integrating product analytics and model performance metrics into operational monitoring - Background in enterprise environments with strong security and compliance requirements - Experience implementing regulatory controls within cloud infrastructure - Experience scaling infrastructure during rapid growth phases - Experience evaluating infrastructure tooling and vendors - Experience in collaborating with large scale enterprise customers to deploy and operate environments within their accounts and VPCs Personal Characteristics - Strong problem solver who anticipates failure modes - High ownership mentality and accountability - Comfortable working across streams and influencing without formal authority - Learning-oriented with a drive for continuous improvement