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Lead Software Engineer - Site Reliability Engineering (SRE) - Remote Eligible

Design and lead initiatives to improve system availability and performance at scale
Remote
Senior
yesterday
Relativity

Relativity

Provides e-discovery and legal document review software that helps law firms and corporations manage, analyze, and produce large volumes of data.

Lead Software Engineer – SRE

As the Lead Software Engineer – SRE you will play a key role in driving reliability initiatives across engineering teams. This position focuses on designing and implementing solutions that improve system availability, scalability, and performance. You will collaborate closely with product and infrastructure teams, mentor engineers, and lead critical projects that align with the organization's reliability goals. The ideal candidate will bring deep technical expertise, strong problem-solving skills, and a passion for reliability engineering.

Job Responsibilities

  • Lead major SRE projects and initiatives within the engineering organization.
  • Design and implement solutions to enhance system reliability and performance.
  • Participate in improving Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets to enhance system reliability.
  • Develop automated solutions for system reliability, capacity planning, and incident response to minimize manual intervention.
  • Support root cause analysis (RCA) investigations, drive corrective actions, and advocate for a blameless postmortem culture.
  • Participate in on-call rotations to ensure 24/7 availability of critical systems.
  • Influence and mentor engineering teams on SRE principles, DevOps culture, and best practices.
  • Stay ahead of industry trends, adopting new tools, frameworks, and methodologies to continually improve system reliability.

Preferred Qualifications

  • 6+ years of experience in software engineering, site reliability engineering, or cloud infrastructure roles.
  • Proficient in designing and building service-oriented architectures and cloud-native distributed systems.
  • Proficiency in programming languages such as Python, Go, Java, or C# or .Net.
  • In-depth technical understanding and experience with at least two of the following DevOps platforms: GitHub, Azure DevOps, GitLab, or Jenkins.
  • Hands-on experience with observability tools (e.g., Prometheus, Grafana, OpenTelemetry or other).
  • Strong background in CI/CD pipelines, automation, and DevOps practices.
  • Experience working in global, high-availability SaaS environments.
  • Experience implementing redundancy and disaster recovery scenarios.
  • Excellent teamwork and cross-group collaboration skills.
  • Ability to collaborate with both technical and business professionals.
  • Hands-on experience with Agile Project Development Methodologies.
  • Experience delivering complex technical solutions.
  • Excellent problem-solving, analytical, and communication skills.
  • Previous experience in leading or mentoring engineers in a reliability-focused capacity.
  • Nice to have: Experience with Chaos Engineering and/or AI Ops.

Competencies and Skills

  • Technical Leadership at the team level.
  • Automation-First Mindset – Commitment to reducing toil through scripting and automation.
  • Reliability Engineering – Expertise in SLOs, SLIs, error budgets, and highly reliable, cloud-native architectures.
  • Incident Management & Postmortems – Experience in handling production incidents and driving continuous improvement.
  • Observability & Monitoring – Deep understanding of logging, monitoring, and alerting best practices.
  • Practical knowledge of data structures and modern data engines.
  • Collaboration & Communication – Ability to work across teams, influence stakeholders, and advocate for reliability improvements.
  • Mentorship & Coaching – Passion for mentoring engineers and building an SRE culture within the organization.

Additional Information

This role offers a unique opportunity to shape the future of SRE in a cutting-edge SaaS company, ensuring the reliability and scalability of mission-critical applications for customers worldwide. If you are passionate about solving complex reliability challenges and driving technical excellence, we'd love to hear from you! Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless of how you identify.

Benefit Highlights:

  • Comprehensive health, dental, and vision plans
  • Parental leave for primary and secondary caregivers
  • Flexible work arrangements
  • Two, week-long company breaks per year
  • Additional time off
  • Long-term incentive program
  • Training investment program

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between 232,000 and 348,000PLN. The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Suggested Skills: Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, Troubleshooting

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Lead Software Engineer - Site Reliability Engineering (SRE) - Remote Eligible
Remote
Engineering
About Relativity
Provides e-discovery and legal document review software that helps law firms and corporations manage, analyze, and produce large volumes of data.