As the world’s leading vendor of Cyber Security, facing the most sophisticated threats and attacks, we’ve assembled a global team of the most driven, creative, and innovative people. At Check Point, our employees are redefining the security landscape by meeting our customers’ real-time needs and providing our cutting-edge technologies and services to an ever-growing customer base. Check Point Software Technologies has been honored by Time Magazine as one of the World’s Best Companies and Newsweek’s list of Americas Best Cybersecurity Companies. We've also earned a spot on the Forbes list of the World’s Best Places to Work for five consecutive years and recognized as one of the World’s Top Female-Friendly Companies. If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us.
Production AI Engineer Owning High-Scale Cloud Infrastructure
Location
United States
Posted
3 days ago
Salary
$145K - $165K / year
Seniority
Mid Level
No structured requirement data.
Job Description
Production AI Engineer Owning High-Scale Cloud Infrastructure
Check Point Software Technologies
Role Description Check Point is seeking a promising and talented Production AI Engineer to join our Production and DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps group, this is your opportunity to help make the world a safer place! - Act as a Production Engineer within a highly skilled team, responsible for large-scale operations from development to production. - Design, develop, and maintain the production platform, including operating systems, containers, cloud orchestration, and full end-to-end automation. - Implement tools and procedures for monitoring, deployment, and alerting across our SaaS multi-tenant product family. - Participate in the large-scale migration of a highly complex system into a secured, regulation-compliant environment. - Continuously improve our cloud infrastructure to ensure fault tolerance, scalability, and security. - Plan capacity, stabilize, and enhance the performance of application infrastructure with cost efficiency and scaling in mind. - Design and shape our monitoring and logging solutions. - Execute all tasks with top-notch cloud infrastructure security as a guiding principle. Qualifications - Hands-on mindset – we all write code daily! We all handle production issues. - 3+ years of relevant DevOps/Production experience building CI/CD pipelines for both development and production – must. - 2+ years of AWS Cloud experience working with distributed systems and microservices services – must. - Strong scripting skills, with fluency in Python – must. - Experience with AI tools and Agent development – must. - Experience with containers and orchestration tools (Docker, Kubernetes, or ECS) – must. - Experience with CI integration tools such as Jenkins. - Familiarity with AWS CloudFormation – an advantage. - Exposure to a wide range of open-source technologies (Open Telemetry, Nagios, Grafana, Prometheus, etc.). - Knowledge of best practices in security, performance, and monitoring. - Proven ability to research, evaluate, and implement new technologies, including running proof of concepts and cost analysis. - Must be eligible to work in the US without sponsorship from an employer now or in the future. Requirements - EOE M/F/Veterans/Disabled Benefits - The wage range for this position is $145,000 - $165,000. - In addition to the base compensation, certain roles are eligible for additional compensation, including an annual bonus or sales incentive based on revenue or utilization. - US-based employees gain access to healthcare benefits, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, stock awards, and an employee stock purchasing plan.
Related Guides
Related Categories
Related Job Pages
More Production Engineer Jobs
MuleSoft Production Support Engineer
NTT DATA ServicesNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Role Description We are seeking a skilled MuleSoft Production Support Engineer (L1/L2) with 4–6 years of experience in supporting and maintaining MuleSoft-based integration platforms in a production environment. The ideal candidate will be responsible for incident management, troubleshooting, monitoring, and ensuring the stability and availability of integration services. Experience with ServiceNow for ITSM processes is mandatory, while knowledge of Splunk for log analysis and monitoring will be considered an added advantage. Key Responsibilities: - Provide L1 and L2 support for MuleSoft APIs, integrations, and middleware components. - Monitor production environments and respond to incidents, alerts, and service requests within defined SLAs. - Perform initial triage, root cause analysis, troubleshooting, and resolution of integration issues. - Coordinate with development, infrastructure, and business teams for issue resolution and escalations. - Handle incident, problem, and change management activities using ServiceNow. - Participate in on-call support rotations and manage critical production incidents. - Monitor MuleSoft applications, APIs, and integration flows to ensure optimal performance and availability. - Analyze application logs, error reports, and system metrics to identify and resolve issues proactively. - Support deployment validation, smoke testing, and post-release monitoring activities. - Document recurring issues, known errors, and operational procedures. - Manage tickets, incidents, service requests, and change records through ServiceNow. - Ensure compliance with ITIL-based support processes and operational standards. - Prepare support reports, incident summaries, and operational dashboards. - Identify opportunities for automation and operational efficiency improvements. - Contribute to knowledge base articles, runbooks, and support documentation. - Collaborate with development teams to improve application stability and supportability. Qualifications - 4–6 years of overall IT experience with at least 3+ years of MuleSoft production support experience. - Hands-on experience supporting Mule 4 applications, APIs, and integration services. - Strong understanding of API-led connectivity and integration concepts. - Experience with Anypoint Platform, Runtime Manager, API Manager, and CloudHub/on-prem deployments. - Proficiency in troubleshooting MuleSoft applications, analyzing logs, and resolving production issues. - Experience working with ServiceNow for incident, problem, change, and service request management. - Good understanding of REST/SOAP APIs, XML, JSON, and web services. - Knowledge of Unix/Linux commands and basic scripting. - Familiarity with ITIL processes and production support best practices. - Strong analytical, problem-solving, and communication skills. Requirements - Experience with Splunk for log aggregation, monitoring, dashboard creation, and troubleshooting. - Knowledge of monitoring tools such as Dynatrace, AppDynamics, Grafana, or similar. - Understanding of CI/CD pipelines and deployment processes. - Experience supporting integrations across cloud and on-premise environments. - MuleSoft Developer or Platform certifications are a plus. Key Competencies - Incident Management - Production Monitoring - Root Cause Analysis (RCA) - ServiceNow Ticket Management - Stakeholder Communication - SLA Compliance - Problem Solving & Troubleshooting - Team Collaboration Education - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Benefits - The role requires flexibility to work in a 24x7 support model, including rotational shifts, weekends, and on-call support as required to ensure uninterrupted operation of business-critical MuleSoft integrations.
Role Description We're looking for a Playable Production Lead to own the people, execution, and operations layer of Hermes production. Hermes is our playable ads production team, producing playables for top-tier mobile gaming clients using our internally developed AI tools. In this role, your main focus will be leading the execution org and turning playable production into a clear, scalable system. You'll directly manage Our Auditors Team Leads and the Operations Managers who keep delivery running. You'll own delivery targets and production readiness across the full execution layer, hold one quality and execution bar across units, and build the systems, reporting, and pipeline that let Hermes scale with clarity and control. Qualifications - 6+ years of management experience in a high-volume production environment such as a creative agency, animation studio, or post-production studio. - Experience managing team leads or managers, not only individual contributors. - Hands-on background in production, creative, or post-production, so you understand the craft and the people who do it. - Operationally fluent: comfortable owning workflows, dashboards, reporting, and repeatable systems at scale. - Experience holding quality and consistency across a remote, distributed team working across multiple timezones. - Comfortable working in a technical, AI-driven environment with internal tools. - Strong problem-solving mindset, with the ability to spot drift early and drive practical fixes. - Excellent communication skills, with the ability to keep teams aligned and stakeholders clearly updated. - Proactive, decisive, and comfortable operating in a fast-moving startup mid-restructure. - Fluent English, written and spoken. Requirements - Experience in mobile gaming, playable ads, ad-tech, or performance marketing. - Experience working with internally developed AI tools, not just consumer products like ChatGPT. - Experience working with Product and Tech teams on internal tools, automations, or workflow improvements. Company Description
• Own production operability by debugging complex issues, improving system visibility, and eliminating recurring problems at the source • Own production health for services — from detection through resolution to prevention • Improve mean time to detect (MTTD), mean time to resolve (MTTR), and recurrence rates for issues • Identify systemic issues and eliminate recurring problems through code fixes, architecture improvements, and better operational tooling • Improve observability across services — logs, metrics, and alerting — for faster diagnosis and resolution • Design and improve debugging workflows, runbooks, and internal tooling for engineers • Reduce operational burden by making systems easier to understand, operate, and troubleshoot • Partner closely with product teams to feed production learnings back into design and development • Reduce support and incident load by addressing root causes and improving system design, not just resolving individual issues
Role Description We're looking for a Senior SRE to join our team and help us build and maintain reliable, observable, and scalable infrastructure. You'll work closely with developers, own reliability practices, and contribute to the team's DevOps culture. Qualifications - Linux — confident troubleshooting in terminal, logs, processes, networking basics, resource usage. - Kubernetes / GKE — strong hands-on understanding of workloads, pods, services, ingress/gateway, probes, RBAC, resources, autoscaling, and troubleshooting. - GCP — practical experience with cloud infrastructure, especially around GKE, IAM, networking, load balancing, artifact registry, and production diagnostics. - Docker / Containers — images, registries, runtime debugging, container lifecycle. - Helm — understands Helm releases, values, deployment state, and rollback. - GitOps / FluxCD — able to understand and troubleshoot GitOps deployment flow, drift, image automation, and Git-based rollback. - CI/CD understanding — can investigate failed pipelines and deployment issues; does not need to be the main pipeline builder if DevOps owns that. - Observability — Prometheus, Alertmanager, Grafana; understands metrics, logs, traces, dashboards, alerting, and production monitoring. - Networking fundamentals — DNS, load balancers, ingress, gateways, TLS, routing, firewall/security rules. - SLI / SLO / SLA — can define and apply reliability targets, not just explain the terms. - Incident response — experience with production incidents, rollback, service recovery, RCA/postmortem. - Databases / messaging operational basics — PostgreSQL, Couchbase, Kafka, Elasticsearch/ELK or similar; enough to monitor health, migrations, indexes, topics, and failure signals. - Security / compliance basics — secrets, IAM/RBAC, audit trail, release/change evidence. Requirements - Can assess if a release is technically safe to proceed. - Can define what should be monitored during and after deployment. - Can verify production health after release. - Can prepare or validate rollback plans. - Can lead or support post-release watch. - Can improve runbooks and incident response procedures. - Can identify gaps in dashboards, alerts, deployment checks, and release evidence. - Can work with DevOps without duplicating their ownership. Soft Skills - Ownership and accountability — follows production issues through to closure. - Calm under pressure — can operate clearly during incidents, failed deployments, and rollbacks. - Clear communication — gives concise updates: impact, current action, ETA, risk, decision needed. - Structured troubleshooting — breaks issues down by app, infra, network, database, config, release diff, external dependency. - Risk awareness — can say when a release is risky and explain why. - Collaboration — works well with Dev, QA, Product, Support, Release Manager, and DevOps. - Documentation discipline — maintains runbooks, rollback steps, incident timelines, and operational evidence. - Blameless mindset — focuses on root cause and prevention. - Proactivity — finds missing alerts, dashboards, runbooks, and process gaps before incidents. - Prioritization — separates real production impact from alert noise. Nice To Have - Terraform / IaC experience. - Advanced GCP infrastructure design. - ArgoCD or other GitOps tools. - Advanced database or performance tuning. - Service mesh experience. - On-call rotation experience with PagerDuty/Opsgenie or similar. - Experience facilitating RCA/postmortem sessions. - Betting/gaming domain experience. - Good written English for incident updates, release notes, and audit evidence. - Basic understanding of AI-related concepts: agents, skills, MCP. Responsibilities - Own production reliability practices together with DevOps and engineering teams. - Monitor production health and improve observability. - Support releases, hotfixes, rollback, and post-release watch. - Validate deployment readiness and rollback readiness. - Participate in incident response and RCA/postmortem. - Maintain runbooks, dashboards, alerting rules, and operational documentation. - Ensure release evidence is traceable and audit-ready. - Coordinate with Dev, QA, Product, Support, Release Manager, and DevOps during production events.
