Senior Software Engineer

Description

The Search Infrastructure Team builds and runs the core search capabilities behind the company Search, a set of applications that help customers find relevant information, retrieve it and present it.

The search products cover document ingestion, index building, searching and search term report execution, and stable, fast search has a direct effect on customer experience.

The company makes a legal data intelligence platform, RelativityOne, which is used for litigation, investigations, regulatory inquiries and data breach responses.

This is a senior role working alongside the Lead Engineer to run petabyte-scale search infrastructure, improve it and help shape its architecture.

Hybrid or remote work in Poland.

Responsibilities

• Design, build and run scalable search platform capabilities in the cloud.
• Keep production systems running well for high-volume, mission-critical customer workflows, and improve them.
• Write maintainable, high-quality code using sound engineering practices.
• Diagnose complex production problems, fix defects and take part in handling incidents that affect customers.
• Strengthen observability, automation, capacity planning and operational readiness for the search infrastructure.
• Join production support and on-call rotation once you have completed onboarding.
• Work with engineering, SRE, product and architecture colleagues to move the search platform roadmap forward.

Requirements

• A bachelor's degree in computer science, engineering or a related technical field, or equivalent hands-on experience.
• 5+ years of professional experience building commercial-grade software or infrastructure platforms.
• Experience building, running or scaling distributed systems in production.
• Experience running mission-critical systems at scale, with attention to reliability, availability and operational readiness.
• Experience with production support or on-call work, including incident response, troubleshooting and root cause analysis.
• Strong problem-solving skills and the ability to diagnose complex system behaviour from operational data.
• Experience designing or building scalable solutions on a major public cloud.
• Hands-on programming experience in a modern backend language.
• Ability to work well across engineering, SRE, product and architecture teams.
• Fluent written and spoken English.
• Nice to have: experience running and scaling petabyte-scale search, indexing or retrieval infrastructure.
• Nice to have: experience with Elasticsearch, OpenSearch, Lance, TurboPuffer or comparable search and vector infrastructure.
• Nice to have: experience with Kubernetes, container orchestration and cloud-native platform operations.
• Nice to have: experience with Azure cloud infrastructure, platform engineering or cloud infrastructure management.
• Nice to have: experience with Infrastructure as Code and automation tools such as Pulumi, Terraform or similar.
• Nice to have: experience with CI/CD pipelines, deployment automation and progressive delivery.
• Nice to have: experience building or running monitoring, observability and alerting systems such as Grafana, Prometheus or New Relic.
• Nice to have: comfort working in Linux-based production environments.
• Nice to have: experience improving performance, reliability, cost efficiency or operational toil in large-scale infrastructure.

Conditions

Competitive salary, benefits, DTO, parental leave and an equity program.

Total compensation includes a competitive base salary, an annual performance bonus and long-term incentives.

The expected base salary range is 208 000 to 312 000 PLN.

The final offer depends on factors such as depth of experience, skills, qualifications and internal pay equity. Offers at the top of the range are not typical, leaving room for meaningful salary growth later.

The company is committed to fair and equitable pay.

Benefits

• Growth and ownership: take end-to-end ownership of systems across cloud and distributed environments.
• Work on distributed, cloud-native systems that handle large data volumes.
• Build with AI, cloud platforms and scalable architectures in legal tech.
• Work in a team that values knowledge sharing and continuous improvement.
• Diverse perspectives are valued as a route to stronger teams and better results.