This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers an exciting opportunity to design and build high-performance search and analytics systems that empower users to explore operational data across diverse environments. The Sr Software Engineer will collaborate with cross-functional teams to deliver scalable, robust, and user-friendly features from end-to-end, contributing to both frontend and backend development. - Collaborate with cross-functional teams and stakeholders to define project goals and acceptance criteria - Design, develop, and maintain clean, testable, and maintainable code for both frontend and backend systems - Participate in the full software development lifecycle, including design, testing, deployment, and production support - Build and enhance features for search, data visualization, and analytics systems with a focus on scalability and performance - Contribute to development practices and processes to ensure team effectiveness and high code quality - Share on-call responsibilities and participate in service ownership for production systems - Troubleshoot, debug, and resolve issues across a complex, distributed environment Qualifications - Proven experience as a software engineer in full-stack development, preferably with React frontend and Node.js backend - Strong knowledge of JavaScript/TypeScript, SQL, and building RESTful APIs - Experience with building search, query, or analytics systems for structured and unstructured data - Skilled in CI/CD pipelines, automated testing frameworks (e.g., Jest, Cypress, Playwright) - Experience with large-scale, highly available distributed systems or SaaS platforms - Excellent verbal and written communication skills, comfortable explaining complex technical topics to varied audiences - Self-starter with strong problem-solving skills and ability to work independently in a remote environment - Ability to build interactive data visualizations and deliver high-quality user experiences - Comfort working collaboratively in a remote-first, inclusive, and dynamic team environment Benefits - Competitive salary range: $170,000–$210,000 depending on location and experience - Comprehensive health, dental, and vision coverage - Paid time off, holidays, and short-term disability coverage - 401(k) retirement plan with company contributions - Equity participation and eligibility for discretionary company-wide bonus - Fertility treatment and other family support benefits - Remote-first work environment with flexibility to work from anywhere - Professional development and career growth opportunities

• Lead the migration of digital contact center workloads from Genesys and LivePerson to Amazon Connect. • Design and implement chat, chatbot, SMS, email, and WhatsApp solutions using Amazon Connect and AWS services. • Develop and integrate custom chat widgets and portals, including JWT authentication and secure API invocation. • Build and maintain custom widgets using AWS SDKs and APIs for enhanced agent and customer experiences. • Collaborate with cross-functional teams to integrate Amazon Connect with CRM platforms (e.g., Salesforce, ServiceNow). • Implement GenAI-powered solutions for customer and agent interactions using Amazon Bedrock, OpenAI, and other LLMs. • Ensure robust security, scalability, and compliance across all digital implementations. • Troubleshoot and optimize Amazon Connect digital setups, including routing, flows, and channel configurations.

• Lead the migration of digital contact center workloads from Genesys and LivePerson to Amazon Connect. • Design and implement chat, chatbot, SMS, email, and WhatsApp solutions using Amazon Connect and AWS services. • Develop and integrate custom chat widgets and portals, including JWT authentication and secure API invocation. • Build and maintain custom widgets using AWS SDKs and APIs for enhanced agent and customer experiences. • Collaborate with cross-functional teams to integrate Amazon Connect with CRM platforms (e.g., Salesforce, ServiceNow). • Implement GenAI-powered solutions for customer and agent interactions using Amazon Bedrock, OpenAI, and other LLMs. • Ensure robust security, scalability, and compliance across all digital implementations. • Troubleshoot and optimize Amazon Connect digital setups, including routing, flows, and channel configurations.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a DevOps Engineer to help design, build, and operate Utilidata’s off-device platform that ingests, processes, and serves data flowing from edge AI devices. This is a hands-on development role with technical leadership responsibilities and with company-wide impact. - Oversee the deployment and management of containerized applications using Kubernetes, ensuring optimal performance and availability - Contribute to strategic planning regarding how the infrastructure solutions evolve to match the requirements of Data Center partners - Lead the design, implementation, and maintenance of scalable and reliable systems on AWS and/or on-premise - Utilize Terraform for infrastructure as code to automate the provisioning and management of cloud resources - Monitor system performance and uptime, ensuring systems meet established service level objectives (SLOs) - Support SOC2 security compliance requirements for data handling - Mentor and guide team members in DevOps practices, promoting a culture of reliability and excellence - Advocate for automation of operational tasks to enhance efficiency and reduce manual intervention - Collaborate with cross-functional teams to build and maintain CI/CD pipelines - Troubleshoot and resolve complex production issues, conducting root cause analysis and implementing corrective actions - Participate in on-call rotations and incident response teams - Assist in capacity planning, performance tuning, and technical decision-making - Drive continuous improvement initiatives for processes and infrastructure Qualifications - 8+ years of development experience including extensive experience in platform engineering, SRE, or distributed systems, with clear senior or principal-level impact - Experience designing and operating infrastructure across on-premises and cloud environments - Strong proficiency in container orchestration, particularly Kubernetes - Strong proficiency with AWS services and architecture - Hands-on experience with Terraform for infrastructure automation - Familiarity with monitoring tools (Prometheus, Grafana, or similar) and observability best practices - Excellent problem-solving skills, leadership abilities, and attention to detail - Strong communication and collaboration skills, with experience in driving technical outcomes - Willingness to travel up to 20% of time Enhanced Qualifications (Nice to Have) - Bachelor's degree in Computer Science, Engineering, or a related field - Experience supporting or enabling MLOps platforms, model deployment pipelines, or ML-adjacent infrastructure - AI Workload scheduling using Kubernetes - Knowledge of Apache Spark for large-scale data processing - Knowledge of database technologies (SQL, NoSQL) - Understanding of networking concepts and security best practices Salary Range $180,000 to $210,000 base compensation depending on experience and stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands. Location This position can be performed remotely from anywhere in the United States. Our Commitments - Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful - Empowering employees to solve problems and work together to make a difference - Providing mentorship and growth opportunities as part of a collaborative team - A flexible work environment with flexible paid time off - Competitive compensation and benefits, including health, dental, vision, and employer-match 401k