
51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Laivly is a company that provides collaborative AI solutions for contact centers, empowering customer service agents through automation and support tools. Their key product, a cobot named Sidd, integrates seamlessly with existing technology stacks to enhance efficiency, accuracy, and customer satisfaction. Laivly's solutions offer real-time transcription, call summaries, and AI-driven support across multiple communication channels, such as email, chat, SMS, and social media, without requiring replatforming. The company focuses on ethical AI use, ensuring their technology respects user rights and privacy while providing measurable improvements in contact center performance.
🔥 0 minutes ago
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51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
🏢 Enterprise
Artificial Intelligence • SaaS • Enterprise
Laivly is a company that provides collaborative AI solutions for contact centers, empowering customer service agents through automation and support tools. Their key product, a cobot named Sidd, integrates seamlessly with existing technology stacks to enhance efficiency, accuracy, and customer satisfaction. Laivly's solutions offer real-time transcription, call summaries, and AI-driven support across multiple communication channels, such as email, chat, SMS, and social media, without requiring replatforming. The company focuses on ethical AI use, ensuring their technology respects user rights and privacy while providing measurable improvements in contact center performance.
• Design, operate, and continuously improve secure, scalable, resilient, and cost-efficient AWS environments • Build and improve infrastructure-as-code standards, reusable architectures, configuration baselines, account structures, tagging, and lifecycle practices • Lead cloud infrastructure migrations, modernization initiatives, and technical-debt reduction through stable operation • Strengthen reliability through SLOs and SLIs, capacity planning, resilience testing, and proactive infrastructure-risk identification • Design and test backup, disaster recovery, and multi-AZ or multi-region strategies • Build observability across metrics, logs, traces, dashboards, alerts, and runbooks using Datadog and AWS-native services • Act as a senior escalation point for complex infrastructure incidents, coordinate recovery, identify root causes, and drive corrective actions • Reduce operational toil through automation, tooling, procedures, and continuous improvements • Partner with Security and Architecture on IAM, network segmentation, encryption, secrets management, vulnerability remediation, and cloud guardrails • Support cloud governance across accounts, policies, auditability, asset inventory, and compliance practices • Optimize cloud consumption and capacity through FinOps practices, forecasting, cost allocation, rightsizing, and Savings Plans • Provide technical leadership through architecture reviews, infrastructure standards, documentation, and mentorship • Partner with application and engineering teams on infrastructure readiness, safe operational changes, and reliability improvements • Translate business and engineering requirements into practical cloud solutions and communicate risks, trade-offs, dependencies, and investments
• 5+ years of progressive hands-on experience in cloud infrastructure, cloud operations, systems engineering, or platform engineering • Significant hands-on experience operating production AWS environments • Strong AWS expertise across IAM, VPC networking, compute, storage, managed databases, load balancing, DNS, monitoring, and backup/disaster-recovery services • Hands-on experience with Infrastructure as Code, ideally Terraform and/or AWS CloudFormation, including modular design, state management, code review, and policy guardrails • Experience applying reliability engineering practices, including SLOs/SLIs, error budgets, observability, incident command, root-cause analysis, post-incident learning, and resilience testing • Strong cloud networking and security knowledge, including DNS, routing, connectivity, security groups/firewalls, identity federation, encryption, secrets, and least-privilege access • Experience with containers and Kubernetes/EKS, including cluster infrastructure, resource management, scaling, and troubleshooting • Proficiency in scripting or automation, such as Python, Bash, or PowerShell • Comfort using APIs and version control to manage infrastructure safely • Experience with cloud cost optimization and FinOps practices, including tagging, rightsizing, reservations/Savings Plans, cost allocation, and capacity forecasting • Strong systems-thinking and troubleshooting skills • Ability to communicate technical concepts and trade-offs to technical and non-technical audiences • AWS certification such as Solutions Architect, SysOps Administrator, or Security Specialty is an asset
• Flexible environment • Career growth opportunities • Creative, diverse, and passionate team • Equal employment opportunities • Accommodation for persons with disabilities
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