Software Engineer - Professional Archive Search
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As a Software Engineer on the Professional Archive Search team, you’ll help design, build, and deliver high-quality software solutions that power our search platform. Your work will support Smarsh clients in meeting their compliance needs by enabling reliable, scalable, and high-performance search capabilities.
You’ll collaborate with cross-functional partners across Product Management, Engineering, and Site Reliability to solve complex challenges and continuously improve our systems. We’re looking for someone who is curious, thoughtful, and motivated to contribute to meaningful technical work in a collaborative environment.
How will you contribute?
- 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
What will you bring?
We’re looking for someone who enjoys working with others, values continuous learning, and communicates openly and respectfully. You’re someone who shares knowledge, supports teammates, and contributes to a positive team culture.
- 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
Preferred Qualifications
- Around 4+ years of experience in software engineering
- Experience with search technologies such as Solr, Lucene, or Elasticsearch
- Skilled in 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
- The ProArchive Application Development team embraces an AI-first mindset, continuously elevating developer productivity through tools like GitHub Copilot, Windsurf, and Claude Code. We’re seeking developers who are passionate about advancing their AI-assisted development skills and leveraging them to deliver innovative, high-impact solutions for Smarsh customers.
What do we offer?
- Healthcare insurance: We provide medical, dental, and vision insurance, and a flexible spending account that allows you to set aside pre-tax dollars to pay for eligible out-of-pocket expenses.
- Stock options.
- Personal time off: A healthy work-life balance is critical to your success at the office. Smarsh offers a “take-what-you-need” time off policy as well as flexible work arrangements.
- 401K Match: Smarsh provides a 4% 401K match for which employees are fully vested on day one.
- Sabbatical: The Smarsh sabbatical programme provides a time to recharge, study or simply do something you are passionate about away from the workplace. Employees are eligible after six years of service.
- Recognition: We’re big on kudos for a job well done. Our employee-recognition programme enables co-workers to nominate their peers who best embody our core values for recognition.
Don't meet every requirement? Apply anyway! We value diverse candidates and encourage applications, even if you don't perfectly match the job description. Studies have shown that some strong candidates may self-select out of the interview process prematurely, at Smarsh we encourage an inclusive, high-performing environment.
Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Including frequency of functions
Skills
As published by lever · 8 questions · 2 written answers
Basics
Which location are you applying for?, Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Other website, What is your age range?, I identify my ethnicity asSelect all that apply, What gender do you identify as?
Pick from a list (6)
- Will you require visa sponsorship now or in the future? optional
- Are you proficient in either Java or C#? optional
- This role includes participation in a shared on-call rotation to support service reliability and incident response. Are you willing and able to participate in this rotation? optional
- This role involves working within a private cloud/on-prem infrastructure. Do you have experience deploying or managing applications in a non-public cloud (on-prem) or hybrid environment? optional
- Which of the following search technologies do you have professional experience with?
- Which of the following have you used in a professional production environment?
Written answers (2)
- Briefly describe a time you used an AI tool (like Copilot or an LLM) to solve a complex coding problem or improve your productivity.
- Describe a specific instance where you had to troubleshoot a performance bottleneck or a production issue in a search-related application or a distributed system. What was your approach?