Senior Solutions Engineer
Selector Software1 day ago
Santa Clara, CA, USASenior
Base Salary
$150k - $180k/yr
Responsibilities
- Serve as a technical subject matter expert for Selector’s operational intelligence and analytics platform across network, cloud, application, and security workflows.
- Partner with enterprise customers to understand technical requirements, operational challenges, data sources, and business objectives.
- Lead solution architecture, design, development, implementation, and deployment of Selector solutions in complex enterprise environments.
- Integrate Selector with customer infrastructure, data sources, APIs, monitoring systems, and operational workflows.
- Own customer proofs of concept from requirements gathering and solution design through implementation, validation, and executive demonstration.
- Develop data pipelines, integrations, dashboards, analytics, correlations, and workflows tailored to customer requirements.
- Support pre-sales engagements through technical discovery, presentations, demonstrations, architecture discussions, and RFP/RFI responses.
- Collaborate with Product and Engineering teams to translate customer requirements into product enhancements.
- Provide technical leadership and mentorship to Solution Engineers and customer-facing technical teams.
- Develop reusable deployment methodologies, automation, documentation, runbooks, and implementation best practices.
- Troubleshoot complex production issues and enable customers to independently operate and extend the platform.
- Represent customer requirements internally and travel to customer and company locations as required.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
- At least 7 years of relevant experience in software engineering, solutions engineering, systems engineering, network engineering, DevOps, observability, or a related technical discipline.
- Strong hands-on programming experience with Python.
- Experience designing and implementing enterprise solutions across on-premises and public cloud environments.
- Hands-on experience with one or more major public cloud platforms, including AWS, Azure, or GCP.
- Experience with Docker, Kubernetes, YAML, REST APIs, and modern cloud-native technologies.
- Strong SQL experience for extracting, validating, transforming, and analyzing data, plus experience with Jupyter notebooks or similar tools.
- Strong understanding of enterprise networking, including data center, WAN, SD-WAN, Wi-Fi, DNS/DHCP, load balancing, BGP, and network monitoring.
- Experience with network monitoring, observability, telemetry, event management, or network analytics platforms.
- Experience working with APIs, streaming data, logs, metrics, events, and other operational data sources.
- Ability to translate complex customer requirements and environments into scalable solution architectures.
- Strong written, verbal, customer-facing, and executive communication skills.
- Ability to work independently while managing multiple customer engagements and priorities.
- Willingness to travel to customer sites and company locations.
- Preferred qualifications include experience with observability, AIOps, network analytics, IT operations platforms, Prometheus, Kafka, Elasticsearch, Grafana, OpenTelemetry, SNMP, Syslog, AI/ML or LLM-based enterprise solutions, network automation, infrastructure-as-code, enterprise POCs, complex deployments, and technical team leadership.
Benefits
- Competitive base salary and performance-based compensation.
- Medical, dental, and vision insurance for employees and eligible dependents.
- Employer-sponsored life and disability insurance.
- 401(k) retirement plan.
- Paid time off, including vacation, sick leave, and company holidays.
- Paid parental and family leave subject to company policy and applicable law.
- Flexible and/or hybrid work environment depending on role and location.
- Professional growth, technical leadership, and career development opportunities.
- Work with leading enterprise customers on networking, cloud, observability, and AI/ML challenges.
- Travel to customer and company locations is required as needed.
Tech Stack
Apache KafkaAWSAzureDockerElasticsearchGoogle Cloud PlatformGrafanaJupyter NotebookKubernetesPrometheusPythonSQL
Categories
Solutions Engineering
About Selector Software
Selector Software builds an AIOps analytics and observability platform (SelectorAI) that unifies telemetry across networks and applications to detect incidents, correlate signals, and automate troubleshooting for IT, NetOps, and SRE teams. It integrates with monitoring and network protocols such as SNMP and gNMI and operates across data center and cloud environments. Founded in 2019 and headquartered in Santa Clara, it sells enterprise subscriptions with professional services for deployment and customer success.