Merciv
Overview
This range is provided by Merciv. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$160,000.00/yr - $220,000.00/yr About Merciv
Merciv is pioneering autonomous retail intelligence through EVA (Evolving Virtual Analyst), our agentic AI platform that transforms how the world's largest retailers operate. We enable AI agents to actively manage critical business functions from consumer intelligence to inventory optimization to competitive analysis. We serve Fortune 500 leaders and are scaling our team for growth in 2025-26. We believe in intuitive features and interactive components, with a lean, agile team that thrives on innovation and autonomy. Here, you\'ll shape the future of our product and company with a "many hats" approach, offering opportunities for growth and impact. Our environment emphasizes creativity, cutting-edge technology, and human-AI collaboration. The Role
Merciv is transforming retail through autonomous AI that not only analyzes businesses but helps run them. Our platform processes data and manages workflows across millions of datapoints to inform consumer-facing strategies, enable real-time pricing, and orchestrate retail operations 24/7. We seek a Senior DevOps Engineer to build and maintain secure, scalable infrastructure for autonomous commerce. You will own infrastructure that supports AI agents making split-second decisions for major retailers, working with our ML and backend engineers to maintain 99.97%+ uptime. This role requires enterprise-grade infrastructure (SOC 2, GDPR, ISO 27001 compliant) while maintaining startup agility. Your work can impact whether a retailer\'s AI responds to market changes in milliseconds or minutes. What You\'ll Do Scale AI Infrastructure: Architect and optimize infrastructure supporting high-volume daily agentic decisions
Ensure Enterprise Reliability: Maintain 99.97% uptime for mission-critical operations across Fortune 500 clients
Automate Everything: Develop robust CI/CD pipelines for rapid ML model deployment and infrastructure updates without downtime
Secure Sensitive Data: Implement and maintain SOC 2, GDPR, and ISO 27001 compliant infrastructure
Optimize AI/ML Workflows: Partner with engineers to streamline model training, deployment, and inference pipelines
Champion GitOps: Implement infrastructure-as-code practices for scalable agent fleets
Monitor Autonomous Systems: Build observability into distributed agent networks
Enable Multi-Tenancy: Design secure, isolated environments for enterprise clients
Integrate Enterprise Systems: Support connections with Shopify Plus, SAP, Oracle Retail, and other platforms
Own Production Excellence: Lead incident response for a high-impact platform
Experience
Core Requirements 6-10+ years of industry experience with at least 4 years in hands-on DevOps
4+ years managing production cloud infrastructure (AWS strongly preferred)
2+ years of production Kubernetes experience (EKS preferred)
Technical Skills
Cloud & Infrastructure: AWS expertise (EC2, EKS, Lambda, S3, RDS, IAM, Secrets Manager, KMS); Terraform and Terragrunt; GitOps; Ansible; bare metal config
Containers & Orchestration: Docker, Kubernetes (Helm, FluxCD, KEDA); container deployment strategies
Programming & Automation: Python and Bash scripting; CI/CD with GitHub Actions
Monitoring & Reliability: Observability stacks (NewRelic, CloudWatch, Prometheus/InfluxDB); distributed tracing; post-mortems
Security & Networking: Network security, load balancing, DNS; IAM, key management, secret rotation; SOC2, GDPR; zero-trust; threat modeling
Systems: Linux administration; strong networking fundamentals
The Infrastructure Challenge
At Merciv, you\'ll tackle challenges at the intersection of AI, real-time systems, and enterprise retail: extreme scale, ultra-low latency, multi-tenant architecture, ML operations, enterprise integration, and compliance at speed. Nice-to-Have Skills Backend or full-stack development
AI/ML infrastructure experience (model serving, GPU clusters, training pipelines)
Experience with real-time, high-throughput data systems
Multi-tenant SaaS platform expertise
Retail or e-commerce knowledge
eBPF for observability; Terraform Cloud at scale; service mesh; multi-region deployments; SecOps at enterprise scale; event-driven architectures; Kafka/Kinesis
What We\'re Looking For Ownership mentality: accountable for infrastructure outcomes
Problem solver: strong debugging and ambiguity navigation
Security-first mindset: proactive threat mitigation
Clear communicator: strong written and verbal skills
Documentation champion: runbooks, diagrams, knowledge bases
Collaborative spirit: cross-functional teamwork
Strategic thinker: balance immediate needs with long-term vision
Growth mindset: continuous learner in DevOps and AI infrastructure
Why Join Us? Revolutionary impact: infrastructure for autonomous AI affecting retailers\' bottom lines
Cutting-edge stack: AI/ML infra, distributed systems, cloud-native tech
Enterprise trust: enabling Fortune 500 retailers to trust AI with millions in decisions
Rapid growth: expanding into new verticals globally
Technical excellence: work with world-class engineers
Ownership & equity: meaningful equity participation
Innovation freedom: shape infra strategy for large-scale platform
Customer impact: direct influence on major brands
Professional growth: budget for conferences and certifications
Compensation
Compensation Range: $160k - $220k Benefits
Health Dental Vision Life Commuter Interview Process
Technical screening call (45-60 minutes) Technical deep dives on infrastructure, architecture, and hands-on coding Team collaboration session (in-person preferred) Culture & vision discussion with leadership Merciv is an equal opportunity employer. We do not discriminate on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other protected characteristics. Referrals increase your chances of interviewing at Merciv. Get notified about new DevOps Engineer jobs in New York, NY.
#J-18808-Ljbffr
This range is provided by Merciv. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$160,000.00/yr - $220,000.00/yr About Merciv
Merciv is pioneering autonomous retail intelligence through EVA (Evolving Virtual Analyst), our agentic AI platform that transforms how the world's largest retailers operate. We enable AI agents to actively manage critical business functions from consumer intelligence to inventory optimization to competitive analysis. We serve Fortune 500 leaders and are scaling our team for growth in 2025-26. We believe in intuitive features and interactive components, with a lean, agile team that thrives on innovation and autonomy. Here, you\'ll shape the future of our product and company with a "many hats" approach, offering opportunities for growth and impact. Our environment emphasizes creativity, cutting-edge technology, and human-AI collaboration. The Role
Merciv is transforming retail through autonomous AI that not only analyzes businesses but helps run them. Our platform processes data and manages workflows across millions of datapoints to inform consumer-facing strategies, enable real-time pricing, and orchestrate retail operations 24/7. We seek a Senior DevOps Engineer to build and maintain secure, scalable infrastructure for autonomous commerce. You will own infrastructure that supports AI agents making split-second decisions for major retailers, working with our ML and backend engineers to maintain 99.97%+ uptime. This role requires enterprise-grade infrastructure (SOC 2, GDPR, ISO 27001 compliant) while maintaining startup agility. Your work can impact whether a retailer\'s AI responds to market changes in milliseconds or minutes. What You\'ll Do Scale AI Infrastructure: Architect and optimize infrastructure supporting high-volume daily agentic decisions
Ensure Enterprise Reliability: Maintain 99.97% uptime for mission-critical operations across Fortune 500 clients
Automate Everything: Develop robust CI/CD pipelines for rapid ML model deployment and infrastructure updates without downtime
Secure Sensitive Data: Implement and maintain SOC 2, GDPR, and ISO 27001 compliant infrastructure
Optimize AI/ML Workflows: Partner with engineers to streamline model training, deployment, and inference pipelines
Champion GitOps: Implement infrastructure-as-code practices for scalable agent fleets
Monitor Autonomous Systems: Build observability into distributed agent networks
Enable Multi-Tenancy: Design secure, isolated environments for enterprise clients
Integrate Enterprise Systems: Support connections with Shopify Plus, SAP, Oracle Retail, and other platforms
Own Production Excellence: Lead incident response for a high-impact platform
Experience
Core Requirements 6-10+ years of industry experience with at least 4 years in hands-on DevOps
4+ years managing production cloud infrastructure (AWS strongly preferred)
2+ years of production Kubernetes experience (EKS preferred)
Technical Skills
Cloud & Infrastructure: AWS expertise (EC2, EKS, Lambda, S3, RDS, IAM, Secrets Manager, KMS); Terraform and Terragrunt; GitOps; Ansible; bare metal config
Containers & Orchestration: Docker, Kubernetes (Helm, FluxCD, KEDA); container deployment strategies
Programming & Automation: Python and Bash scripting; CI/CD with GitHub Actions
Monitoring & Reliability: Observability stacks (NewRelic, CloudWatch, Prometheus/InfluxDB); distributed tracing; post-mortems
Security & Networking: Network security, load balancing, DNS; IAM, key management, secret rotation; SOC2, GDPR; zero-trust; threat modeling
Systems: Linux administration; strong networking fundamentals
The Infrastructure Challenge
At Merciv, you\'ll tackle challenges at the intersection of AI, real-time systems, and enterprise retail: extreme scale, ultra-low latency, multi-tenant architecture, ML operations, enterprise integration, and compliance at speed. Nice-to-Have Skills Backend or full-stack development
AI/ML infrastructure experience (model serving, GPU clusters, training pipelines)
Experience with real-time, high-throughput data systems
Multi-tenant SaaS platform expertise
Retail or e-commerce knowledge
eBPF for observability; Terraform Cloud at scale; service mesh; multi-region deployments; SecOps at enterprise scale; event-driven architectures; Kafka/Kinesis
What We\'re Looking For Ownership mentality: accountable for infrastructure outcomes
Problem solver: strong debugging and ambiguity navigation
Security-first mindset: proactive threat mitigation
Clear communicator: strong written and verbal skills
Documentation champion: runbooks, diagrams, knowledge bases
Collaborative spirit: cross-functional teamwork
Strategic thinker: balance immediate needs with long-term vision
Growth mindset: continuous learner in DevOps and AI infrastructure
Why Join Us? Revolutionary impact: infrastructure for autonomous AI affecting retailers\' bottom lines
Cutting-edge stack: AI/ML infra, distributed systems, cloud-native tech
Enterprise trust: enabling Fortune 500 retailers to trust AI with millions in decisions
Rapid growth: expanding into new verticals globally
Technical excellence: work with world-class engineers
Ownership & equity: meaningful equity participation
Innovation freedom: shape infra strategy for large-scale platform
Customer impact: direct influence on major brands
Professional growth: budget for conferences and certifications
Compensation
Compensation Range: $160k - $220k Benefits
Health Dental Vision Life Commuter Interview Process
Technical screening call (45-60 minutes) Technical deep dives on infrastructure, architecture, and hands-on coding Team collaboration session (in-person preferred) Culture & vision discussion with leadership Merciv is an equal opportunity employer. We do not discriminate on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other protected characteristics. Referrals increase your chances of interviewing at Merciv. Get notified about new DevOps Engineer jobs in New York, NY.
#J-18808-Ljbffr