Software Engineer - Professional Archive Search

Smarsh is a company that provides compliance solutions, and they are seeking a Software Engineer for their Professional Archive Search team. This role involves designing, building, and delivering software solutions to enhance their search platform, while collaborating with cross-functional teams to solve complex challenges and improve system performance.

Responsibilities:

• Support and empower your team by contributing to a collaborative, inclusive, and respectful work environment
• Partner with engineers and stakeholders across teams to design and implement scalable solutions
• Participate in a shared on-call rotation to support service reliability and incident response with a focus on learning and prevention
• Collaborate with Product and Engineering to define technical requirements, timelines, and deliverables
• Apply modern engineering practices, including Agile methodologies, CI/CD pipelines, and DevOps principles
• Review code, identify areas for improvement, and help reduce technical debt
• Troubleshoot and resolve production issues to maintain high availability and performance
• Continuously learn about emerging technologies and evaluate how they can benefit the team
• Deploy and manage applications in Kubernetes environments
• Monitor application health and performance using tools such as Splunk, Datadog, and Grafana

Requirements:

• Experience working in a modern private cloud-based environment and familiarity with distributed systems
• Exposure to some of our technology stack, along with a willingness to learn new tools and languages
• A collaborative mindset, with openness to feedback and different perspectives
• Understanding of modern software development practices and Agile methodologies
• Ability to communicate progress, challenges, and ideas clearly
• Comfort working in evolving environments where requirements may change over time
• A proactive approach to problem-solving and cross-functional collaboration
• Around 4+ years of experience in software engineering
• 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
• Experience working with Linux-based systems and WSL
• Exposure to messaging systems such as Kafka or AMQ
• Participation in open-source projects or technical communities