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Everseen

Visual AI for retail shrink prevention

Operations Manager - Service Delivery

Site Reliability EngineeringUpdated on Nov 12
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in a service delivery, technical support, or solution engineering role working with projects in a global matrixed organization.
  • Extensive experience with Linux systems.
  • Proficiency with Docker and/or Podman and expert knowledge of standard network communication protocols.
  • Extensive understanding of networking concepts, including VPNs, subnets, DNS configurations, and SSL certificates.
  • Knowledge of automation tools, especially Ansible.
  • Knowledge of the ELK Stack, REST, NGINX, JSON, XML, message brokers such as MQTT, RabbitMQ, and Redis, TypeScript, Python, JavaScript, RTSP feeds, Kubernetes, Terraform, and OpenShift.
  • Expert-level knowledge of Prometheus, including PromQL, alerting rules, and exporters, and Grafana, including dashboard creation, data source integration, and alerting.
  • Ability to engage in multiple initiatives concurrently and adapt to changing project requirements, anticipating and addressing potential issues promptly.
  • Ability to discuss Everseen's technology solutions at a high level and stay current with developments.
  • Problem-solving, organizational, and attention-to-detail skills, and sound judgment to navigate and resolve complex situations effectively.

Responsibilities

  • Manage and lead the team, overseeing day-to-day operations and project activities.
  • Act as a point of escalation for team issues and challenges.
  • Resolve conflicts within the team to maintain a productive and harmonious working environment.
  • Develop the team by providing direction and opportunities for skill enhancement.
  • Ensure strategic priorities are adequately resourced and supported.
  • Measure and manage team performance, provide feedback, and set improvement goals.
  • Coach and mentor team members to foster continuous improvement.
  • Collaborate with engineering to architect, scale, and optimize global monitoring infrastructure for edge and SaaS solutions.
  • Collaborate with product and software engineering teams to define, track, and enforce Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.
  • Lead technical responses during critical production incidents, facilitate root cause analysis (RCA), and track corrective actions to build permanent engineering safeguards against recurrence.
  • Identify operational pain points and eliminate repetitive manual tasks by building internal automation tools and scripts.
  • Manage, scale, and optimize production-grade Kubernetes clusters to ensure high availability, optimal resource allocation, and strict security compliance.
  • Collaborate with senior leadership to set strategic goals for the team.
  • Hold overall responsibility for the team's projects and ensure they remain on track and aligned with strategic goals.
  • Manage complex projects with unique requirements and ensure successful delivery.
  • Measure and report on performance against strategic goals.
  • Support customer calls as necessary by providing expertise and assistance.
  • Manage multiple customer projects and serve as a subject matter expert.

Desired Qualifications

  • A bachelor's degree in engineering or computer science, or equivalent, is preferred.
  • Experience with automation tools, especially Ansible, is preferred.

About the Company

Everseen

Visual AI for retail shrink prevention

What does the company do? Everseen provides Visual AI and computer vision solutions for retailers to reduce shrink, streamline store operations, and improve the customer experience. How does the product work? Its AI-powered cameras and software monitor activities at checkout lanes, in aisles, and at receiving doors to detect issues and unusual patterns, helping stores see things humans might miss and then take action. How is it different from competitors? Everseen emphasizes global scale, a best-in-class Visual AI platform, and coverage across multiple store touchpoints (checkout, aisles, receiving) to deliver measurable improvements at large retailers. What is the company’s goal? To help retailers lower costs and raise sales by preventing losses and optimizing operations, ultimately delivering a better shopping experience.

Company size
501-1,000
Company stage
Series A
Total funding
$91.6M
Headquarters
Cork, Ireland
Founded
2008

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