6 months ago
Remote, United States +2 moreMid Level
H1B sponsor
Base Salary
$115k - $145k/yr
Responsibilities
- Design and implement scalable software solutions for the Professional Archive Search platform.
- Collaborate with Product, Engineering, and other stakeholders to define technical requirements, timelines, and deliverables.
- Participate in shared on-call rotation, incident response, production troubleshooting, and service reliability improvements.
- Review code, reduce technical debt, and continuously improve software quality and performance.
- Deploy and manage applications in Kubernetes environments.
- Monitor application health and performance using Splunk, Datadog, and Grafana.
Requirements
- Experience working in private cloud-based environments and with distributed systems.
- Understanding of modern software development practices and Agile methodologies.
- Around 4+ years of software engineering experience.
- Experience with search technologies such as Solr, Lucene, or Elasticsearch.
- Proficiency in Java or C#.
- Experience deploying and managing applications in Kubernetes.
- Familiarity with MS SQL, Linux-based systems, and WSL.
- Exposure to messaging systems such as Kafka or AMQ.
- Strong collaboration, communication, problem-solving, and continuous-learning skills.
- Participation in open-source projects or technical communities is preferred.
- Interest in AI-assisted development and tools such as GitHub Copilot, Windsurf, and Claude Code.
Benefits
- Medical, dental, and vision insurance plus a flexible spending account.
- Stock options.
- Take-what-you-need paid time off and flexible work arrangements.
- 401K match of 4%, fully vested on day one.
- Sabbatical eligibility after six years of service.
- Employee recognition program.
Tech Stack
Categories
About Smarsh
Smarsh builds cloud-native software that captures, archives, and supervises digital communications (email, chat, social, mobile, web) to meet regulatory compliance, e-discovery, and risk needs. Its SaaS platform serves heavily regulated enterprises—especially financial services and the public sector—and applies AI for surveillance and insights. The privately held company was founded in 2002 and is headquartered in Portland, Oregon.