Lead Software Engineer

Relativityhq — Poland · Posted ~1 day ago

Lead Hybrid

Skills

Cloud Architecture AI Software Engineering Cloud

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Summary

Lead the design and development of scalable cloud-native software systems that leverage AI and modern engineering practices to solve complex data problems.

Highlights

Lead engineering initiatives using cloud-native technologies and AI while solving large-scale data challenges in a collaborative environment.

Description

Posting Type Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial. The world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology and supporting pro bono legal work. What We Do At Relativity, engineers do more than write code - they build systems that enable users to uncover insights from complex data at scale using cloud-native architecture, AI, and modern tools. Join the Data Transfer group within our Ingestion Department, a high-impact engineering team responsible for building and scaling the infrastructure that powers secure, reliable, and high-throughput data movement across our SaaS platform. About The Role We are seeking an experienced Lead Software Engineer to develop software and guide a team in applying engineering best practices to deliver high-quality, maintainable, and scalable systems. This role serves as a technical liaison across teams, helping resolve dependencies, improve engineering processes, and proactively identify and mitigate risks to software delivery. Job Description And Requirements WHAT YOU’LL DO Define architecture strategy and non-functional design to meet SLO/SLA and cost goals, ensuring security-by-default and regulatory alignmentLead multi-team Azure delivery and enable safe deployments across services such as AKS, Event Hubs/Service Bus, and Cosmos DB or SQLImplement practices such as policy-as-code, canary and blue-green deployments, environment parity, and automatic rollbackOwn reliability and observability through standardized tracing, metrics, and logging, as well as SLOs, error budgets, and actionable alertingDrive post-incident improvements by leading root cause analysis and implementing fixes that prevent recurrenceChampion Infrastructure as Code and platform “paved roads” to improve consistency and developer experienceGuide engineers through design reviews and establish clear quality standards while unblocking cross-team dependenciesCollaborate with Product to make data-informed trade-offs across reliability, cost, and delivery speedInfluence stakeholders across teams by negotiating priorities, mediating conflicts, and managing expectationsSupport team growth by contributing to development plans, delivering actionable feedback, and raising the hiring barCommunicate effectively through architectural decision records (ADRs) and narratives that connect technical trade-offs to customer and business outcomes Required WHAT WE’RE LOOKING FOR 7+ years of experience building distributed SaaS systems using .NET/C# or similar technologies, including 3+ years leading initiatives or teamsDeep expertise in Azure, including AKS, Service Bus/Event Hubs, and Cosmos DB or SQL, as well as multi-region patternsProven ownership of SLO/SLA outcomes, including on-call leadership and driving root cause analyses that eliminate repeat incidentsStrong experience with observability at scale, including OpenTelemetry tracing, metrics, logging, dashboards, and alert designExperience with CI/CD practices, including GitHub Actions or similar tools, canary/blue-green deployments, feature flags, and automated rollbackStrong stakeholder communication skills with the ability to influence across teams and communicate clearly in EnglishBachelor’s degree in Computer Science, Engineering, or equivalent practical experience Preferred Experience with FinOps practices including cost modeling, right-sizing, autoscaling strategies, and capacity planningStrong background in Infrastructure as Code (e.g., Pulumi), Kubernetes operations, and container security practicesExperience in platform enablement, including internal SDKs, templates, and “golden paths”Familiarity with service mesh technologiesExperience with data streaming systems such as Kafka or Azure Event Hubs, and large-scale ingestion/ETL pipelinesKnowledge of multi-tenant scaling techniques, including throttling and backpressure strategies WHY WE COULD BE A GREAT FIT Impactful Mission Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters. Engineering at Scale Work on distributed, cloud-native systems that process large volumes of data. Cutting-Edge Technology Build with AI, cloud platforms, and scalable architectures shaping legal tech. Growth and Ownership Gain experience owning systems end-to-end across cloud and distributed environments. Collaborative Culture Work in a team focused on knowledge sharing and continuous improvement. Inclusive Environment Diverse perspectives create stronger teams and better outcomes. Compensation And Benefits Competitive salary, benefits, DTO, parental leave, and equity program. 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 following values: 270 000 and 406 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. Required Skills Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, Troubleshooting