Round Lake, IL

Engineer Jobs in Round Lake, IL

12 jobs found

Include remote jobs

Today

Staff AI Engineer

Relativity Round Lake, IL

Round Lake, IL

Today

$205k - $307k/yr Full time Manager Artificial Intelligence Data Analysis

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Job Description

Relativity is building production-grade AI/ML capabilities to help identify and respond to data breaches at scale, while meeting regulatory deadlines. In this Staff AI Engineer role (Illinois, hybrid), you will architect, build, and operate AI/ML systems and the data pipelines that power them, strengthening reliability, security, and maintainability across the Data Breach Response (DBR) engineering organization.

Location: Illinois (hybrid)
Compensation: USD 205,000 - 307,000 per year
Experience: 10+ years

What you’ll do

Architect end-to-end AI/ML solutions, applying principles across reliability, scalability, security, cost, and maintainability throughout the AI/ML lifecycle.
Build out the AI Engineering discipline within DBR and extend practices across the broader engineering organization.
Collaborate across Relativity to raise AI Engineering standards and elevate how teams design and deliver AI systems.
Partner with product and engineering leadership to define the AI strategy for DBR, then lead execution of that strategy across DBR engineering teams.
Mentor junior AI Engineers, as well as senior and lead engineers.
Build, deploy, monitor, and operate AI/ML systems in production, including pipelines and evaluation harnesses used by Applied Science.
Design and operate data pipelines and platforms that feed AI/ML systems, working with Product, Applied Science, and DevOps.
Determine how data, models, services, and deployment patterns fit together, balancing latency, throughput, accuracy, and regulatory constraints.
Prevent issues through system design and automation by building alerting, conducting root cause analysis, and sharing learnings across teams.
Communicate risks and technical decisions with stakeholders across the organization.

What you bring

10+ years of experience designing, building, and operating cloud-native distributed systems, including 5+ years focused on AI/ML systems and data platforms in production at scale.
Technical leadership across multiple teams or domains, with experience setting direction and aligning teams on architecture decisions.
Background in AI/ML architecture, data engineering, and security at scale.
Fluency with ML frameworks and tooling for deploying, monitoring, and operating models, plus the infrastructure that supports evaluation by Applied Science.
Experience translating business goals into technical strategy.
Experience spanning AI/ML Engineering, Data Engineering, MLOps, Distributed Systems, Cloud Architecture, Technical Leadership, and Responsible AI or Governance.
Experience shaping data platforms, evaluation infrastructure, or AI governance standards.
Track record of driving organization-wide AI/ML engineering improvements in regulated or large-scale environments.

Tools and focus areas

AI/ML, MLOps, Distributed Systems, Cloud Architecture
Python (Programming Language)

Compensation and benefits

Competitive salary, benefits, DTO, parental leave, and an equity program.
Annual performance bonus.
Long-term incentives.

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Today

Senior Security Engineer - Identity & Endpoint

Relativity Round Lake, IL

Round Lake, IL

Today

$130k - $195k/yr Full time Senior Ai Security Analytics

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Job Description

Relativity is hiring a Senior Security Engineer to strengthen identity and endpoint security engineering within a layered defense-in-depth program. This role helps lead technical initiatives across security detections, hardening, telemetry, threat hunting, and automated response, with an emphasis on turning findings into durable controls.

Based in Illinois in a hybrid setup, the position supports security engineering across workforce, privileged, service, and machine identities, while also owning endpoint and data security capabilities that feed central analytics and SIEM for cross-domain visibility.

Responsibilities

Deploy, integrate, optimize, and manage EDR/XDR platforms; define custom detections and automated response actions across security tooling.
Own the implementation and enforcement of endpoint and image hardening baselines, configuration standards, and application control baselines.
Integrate endpoint telemetry into the central analytics platform or SIEM to provide security context and cross-domain correlation; ensure SIEM coverage is adequate and effective.
Act as a technical escalation point for endpoint-based security events, exposures, vulnerabilities, and alerts; collaborate cross-functionally to drive remediation within appropriate SLAs.
Investigate complex endpoint alerts and incidents end-to-end, including triage, forensic artifact collection (memory, disk, logs), timeline reconstruction, and containment and eradication actions.
Design, deploy, integrate, and optimize identity security controls across workforce, privileged, service, and machine identities.
Engineer and maintain identity capabilities including identity governance and administration, single sign-on, multi-factor authentication, conditional access, privileged access management, just-in-time access, secrets management, and identity threat detection and response.
Design and enforce least-privilege access patterns with role-based and attribute-based access controls, segregation of duties, and lifecycle controls for joiner, mover, and leaver events.
Integrate identity, authentication, authorization, and privileged-access telemetry into central analytics and SIEM to enable cross-domain correlation, detection, investigation, and automated response.
Escalate and lead root-cause analysis for identity-based attacks, anomalous access, credential compromise, privilege misuse, and authorization failures, coordinating remediation.
Automate identity and access provisioning, certification, policy enforcement, control validation, and response through APIs, scripting, workflow orchestration, and policy-as-code practices.
Partner with IAM, IT, Security, Engineering, and application owners to embed secure identity patterns, remediate access risks, and improve adoption and usability of identity controls.
Define and monitor identity-security measures including authentication coverage, privileged-access reduction, access-review completion, policy compliance, identity-control health, detection efficacy, and remediation performance.
Lead security-control design, deployment, and optimization across perimeter, network, host, application, identity, and data layers, maintaining effectiveness across each layer.
Contribute to and enforce security control standards and design patterns aligned to industry-recognized frameworks, serving as a subject matter expert during implementation and review.
Validate that telemetry from each layer feeds central analytics and supports 360-degree visibility and appropriate attack surface coverage.
Continuously assess enterprise security control effectiveness as the ecosystem expands and the threat landscape evolves, proposing and implementing extended coverage.
Provide technical recommendations on security control design aligned to vulnerabilities, risks, issues, and events, supporting lead-level decisions with well-documented analysis.
Lead purple-team exercises and control-efficacy testing to verify depth and resilience under attack conditions.
Ensure redundant, complementary capabilities to prevent bypasses and maintain failure redundancy across security layers.
Lead structured threat hunting engagements and purple-team exercises in partnership with the Purple Team, analyzing telemetry to surface anomalous or malicious behavior and communicating findings.
Develop, execute, and document structured hunts mapped to MITRE ATT&CK and ATLAS techniques and current threat intelligence.
Perform exposure analysis for vulnerabilities, zero-day risks, alert telemetry, threat intelligence feeds, and partner or customer notifications to conclude on exploitability risk and exposure.
Maintain awareness of the evolving threat landscape, adversary TTPs, and emerging vulnerabilities relevant to Relativity’s ecosystem.
Standardize and document threat-hunting methodology, hypotheses, and outcomes to mature the program with the Purple Team.
Convert successful hunts, exposure analysis, purple-team findings, and alerts into durable, automated detections and containment logic to improve coverage.
Build and maintain SOAR workflows that automate enrichment, triage, containment, and routine response actions, contributing to a broader automation roadmap.
Measure and improve automation impact on time-based detection, containment, and response to reduce threat actor dwell time.
Identify, evaluate, and operationalize AI/ML capabilities for semantic anomaly detection, behavioral analytics, alert triage, and prioritization; recommend platform and tooling decisions.
Implement and manage data classification, discovery, and data security posture management across cloud and on-premises stores.
Deploy and tune data loss prevention controls across endpoints, network, email, cloud, and SaaS surfaces.
Investigate data key risk indicators tied to data access and exfiltration, and integrate data telemetry into central analytics (SIEM).
Serve as a technical mentor and day-to-day escalation point for junior and mid-level security engineers, guiding technical approach, tooling, and professional development.
Lead technical design and implementation efforts for assigned initiatives, producing clear documentation, runbooks, and knowledge artifacts.
Participate in hiring processes including technical interviews and candidate assessments.
Represent the security engineering team in cross-functional technical discussions, translating security requirements and findings clearly for both engineering peers and non-technical stakeholders.

Requirements

4-8 years of hands-on enterprise security engineering experience, with focus on endpoints and identity.
Hands-on experience with security tools such as EDR, XDR, SIEM, CNAPP, CSPM, CWP and strong knowledge of applicable security technologies across the OSI model.
Demonstrated experience in threat hunting, digital forensics, and/or detection engineering, including writing automation scripts and rules for security enforcement and observability.
Solid knowledge of industry standard benchmarks and frameworks (for example, MITRE and NIST).
Demonstrated expertise in at least one scripting or automation language such as Python, Bash, or PowerShell, applied to modern containerized services, CLI use, and/or security use cases.
Demonstrated experience owning and driving complex security initiatives end-to-end, including cross-functional coordination, stakeholder communication, and delivery of technical outcomes.
Ability to communicate technical findings clearly to both engineering peers and non-technical stakeholders.
Relevant certification such as SSCP, Security+ or equivalent.
Prior experience mentoring or providing technical guidance to junior engineers.

Technologies

EDR, XDR, SIEM, CNAPP, CSPM, CWP
OSI model
MITRE ATT&CK, ATLAS
SOAR, AI/ML, UEBA, ML-based alert prioritization
Python, Bash, PowerShell
AWS, Azure, GCP
SOC 2, ISO 27001, HIPAA
SSCP, Security+

Benefits

Competitive base salary
Annual performance bonus
Long-term incentives

Compensation: USD 130,000 - 195,000 per year. Location: Illinois (hybrid). Minimum experience: 4 years.

Preferred Qualifications

Bachelor’s in Computer Science, Information Security, or equivalent experience.
Experience with AI-enabled SecOps (for example: UEBA, ML-based alert prioritization, or AI-assisted threat hunting workflows).
Working knowledge of cloud environments such as AWS, Azure, or GCP.
Experience contributing endpoint or network security controls to CI/CD pipelines and infrastructure-as-code environments.
Experience supporting compliance and audit requirements (SOC 2, ISO 27001, HIPAA) from a technical control perspective.

Required Skills

Access Management
Application Security
Endpoint Security
Network Security
Penetration Testing
Security Architecture Design
Security Information
Security Information and Event Management (SIEM)
Security Operations
Vulnerability Management

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Today

Senior Security Engineer - Network Security

Relativity Round Lake, IL

Round Lake, IL

Today

$130k - $195k/yr Full time Senior Cloud Platforms Cybersecurity Operations

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Job Description

Relativity’s Network Security team builds and strengthens security controls across on-premises, cloud, and hybrid environments. In this role, you will help design, deploy, and optimize layered network defenses, improve threat detection through SIEM and automated response workflows, and lead structured threat hunting and control-efficacy testing. You will also mentor engineers and contribute to a security engineering culture focused on measurable coverage, resilient controls, and continuous improvement.

Responsibilities

Lead the design, deployment, configuration, and optimization of network security controls across on-premises, cloud, and hybrid environments.
Engineer and maintain capabilities including firewalls, network detection and response, secure web gateways, DNS security, SASE/SSE, VPN or ZTNA, adaptive access policies, and cloud-native network security controls.
Design and validate network segmentation and access-control patterns to reduce attack paths and limit lateral movement.
Integrate network telemetry (flow, DNS, proxy, firewall, and packet-derived data) into SIEM, analytics, and automated response workflows.
Develop detections and investigate command-and-control activity, lateral movement, anomalous traffic, unauthorized access, and data exfiltration.
Automate security configuration, validation, and response using APIs, scripting, infrastructure as code, and policy-as-code practices.
Partner with Infrastructure, Cloud, and Engineering teams on secure connectivity, architecture reviews, control implementation, and remediation.
Define and monitor network-security measures including control coverage, telemetry health, segmentation effectiveness, detection efficacy, and remediation performance.
Lead security control design spanning perimeter, network, host, application, identity, and data layers, ensuring effectiveness across each layer.
Serve as a subject matter expert to enforce security control standards and design patterns aligned to industry-recognized frameworks.
Validate that telemetry from each layer supports 360-degree visibility and appropriate attack-surface coverage in central analytics platforms.
Continuously assess enterprise control effectiveness as the ecosystem expands and threats evolve, proposing and implementing supplemental coverage.
Lead purple-team exercises and control-efficacy testing to verify depth and resilience under attack conditions.
Develop and execute structured threat hunts mapped to MITRE ATT&CK and ATLAS techniques and current threat intelligence.
Perform exposure analysis on vulnerabilities, zero-day findings, alert telemetry, threat intelligence feeds, and partner/customer notifications to assess exploitability risk.
Standardize and document hunt methodology, hypotheses, and outcomes to mature the threat hunting program in partnership with the Purple Team.
Convert hunt results, exposure analysis, purple-team findings, and alerts into durable automated detections and containment logic.
Build and maintain SOAR workflows to automate enrichment, triage, containment, and routine response actions, improving time to detect and respond.
Identify, evaluate, and operationalize AI/ML capabilities for semantic anomaly detection, behavioral analytics, alert triage, and prioritization.
Implement and manage data classification, discovery, and data security posture management across cloud and on-premises stores.
Deploy and tune data loss prevention controls across endpoints, network, email, cloud, and SaaS surfaces.
Investigate data key risk indicators tied to data access and exfiltration and integrate relevant telemetry into central analytics (SIEM).
Act as a technical mentor and day-to-day escalation point for junior and mid-level security engineers, guiding technical approach and development.
Lead technical design and implementation for assigned security initiatives, producing documentation, runbooks, and knowledge artifacts.
Participate in hiring processes including technical interviews and candidate assessments.
Represent security engineering in cross-functional technical discussions, clearly translating security requirements and findings.

Requirements

4-8 years of hands-on experience in enterprise security engineering, with a focus on network security.
Hands-on experience with common security tools such as EDR, XDR, SIEM, CNAPP, CSPM, CWP, and strong knowledge of security technologies across all layers of the OSI model.
Demonstrated experience in threat hunting, digital forensics, and/or detection engineering, including writing automation scripts and rules for security enforcement and observability.
Solid knowledge of industry-standard common security benchmarks and frameworks (e.g., MITRE, NIST, etc.).
Demonstrated expertise in at least one scripting/automation language (Python, Bash, or PowerShell) applied to modern containerized services, CLI-based commands, and/or security use cases.
Demonstrated experience owning and driving complex security initiatives end-to-end, including cross-functional coordination, stakeholder communication, and delivery of technical outcomes.
Ability to communicate technical findings clearly to both engineering peers and non-technical stakeholders.
Relevant certification such as Network+, CCSA, ITS-NS, CCT, FCF, PCCET, or equivalent.
Prior experience mentoring or providing technical guidance to junior engineers.

Technologies

AI/ML, SOAR, Python, Bash, PowerShell
EDR, XDR, SIEM, CNAPP, CSPM, CWP
MITRE ATT&CK, ATLAS, SASE/SSE, VPN, ZTNA
Infrastructure as code, policy-as-code, DNS security, firewalls, secure web gateways

Benefits

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

Additional Preferred Qualifications

Bachelor’s in Computer Science, Information Security, or equivalent experience.
Experience with AI-enabled SecOps (e.g., UEBA, ML-based alert prioritization, or AI-assisted threat hunting workflows).
Working knowledge of common cloud environments such as AWS, Azure, or GCP.
Experience contributing endpoint or network security controls to CI/CD pipelines and infrastructure-as-code environments.
Experience supporting compliance and audit requirements (SOC 2, ISO 27001, HIPAA) from a technical control perspective.

Required Skills

Access Management, Application Security, Endpoint Security, Network Security
Penetration Testing, Security Architecture Design
Security Information, SIEM
Security Operations, Vulnerability Management

Location: Illinois (hybrid). Compensation: USD 130,000 - 195,000 per year. Experience: 4+ years.

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Today

Senior Security Engineer

Relativity Round Lake, IL

Round Lake, IL

Today

$130k - $195k/yr Full time Senior Cybersecurity Operations Data Security

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Job Description

Relativity is hiring a Senior Security Engineer in Illinois (hybrid) to strengthen security operations with entity and user behavior analytics (EUBA) and non-human identity behavior analytics (NHIBA). In this role, you will design and operationalize behavioral detections, connect identity and telemetry sources, and help automate investigation and response for both human and non-human identities.

Responsibilities

Design, deploy, integrate, and optimize platforms and capabilities supporting Entity and User Behavior Analytics and Non-Human Identity Behavior Analytics.
Aggregate and normalize telemetry from identity providers, endpoints, applications, cloud platforms, APIs, privileged-access systems, service accounts, secrets platforms, and automated workloads.
Develop and maintain behavioral baselines for workforce users, privileged identities, service accounts, machine identities, applications, agents, and other automated entities.
Engineer analytics to identify anomalous access, credential misuse, privilege escalation, unusual resource interaction, abnormal execution patterns, lateral movement, and deviations from expected identity behavior.
Build behavioral risk models that combine identity sensitivity, privilege, asset context, access patterns, threat intelligence, and observed activity.
Evaluate detection performance across precision, false-positive rates, behavioral model drift, telemetry quality, and coverage gaps, then continuously tune analytics for operational value.
Integrate behavioral findings into SIEM, XDR, SOAR, identity threat detection and response, and case-management workflows.
Act as a technical escalation point for complex behavioral anomalies involving human and non-human identities.
Lead behavioral detection design and optimization across workforce, privileged, service, machine, application, workload, and agent identities.
Establish methods to discover, classify, inventory, and monitor non-human identities across cloud, SaaS, on-premises, development, and automation environments.
Analyze authentication, authorization, privilege use, credential activity, token use, secrets access, API behavior, workload communication, and resource-interaction patterns.
Develop detections for dormant or abandoned identities, shared credentials, unexpected privilege use, credential rotation failures, unauthorized token activity, anomalous service-account behavior, and deviations from an identity’s intended purpose.
Correlate identity behavior with ownership, business purpose, privilege level, application dependencies, data sensitivity, asset exposure, and lifecycle status.
Partner with IAM, PAM, IT, Engineering, application owners, and platform teams to improve telemetry, identity attribution, ownership data, and remediation workflows.
Automate investigation, enrichment, risk scoring, containment, credential rotation, access restriction, and escalation workflows for high-confidence anomalies.
Define and monitor measures such as identity coverage, attributable ownership, behavioral-baseline coverage, detection precision, anomaly investigation time, remediation performance, and reduction in unmanaged or high-risk non-human identities.
Correlate identity, endpoint, network, application, cloud, data, and access telemetry to detect activity that can look legitimate in isolation but becomes suspicious across the environment.
Design behavioral detections that account for entity relationships, privilege, asset sensitivity, historical activity, peer-group behavior, and expected business use.
Validate that telemetry is sufficiently complete, timely, contextualized, and attributable to support reliable behavioral analytics.
Identify visibility gaps that hinder effective monitoring of human or non-human identities and drive cross-functional improvements in telemetry and context.
Translate threat intelligence, incident findings, purple-team results, and emerging attack techniques into new behavioral hypotheses and analytics.
Conduct control-efficacy testing to validate detections for identity misuse, credential compromise, privilege abuse, lateral movement, and automated workload anomalies.
Provide technical recommendations on telemetry architecture, analytics platforms, behavioral models, and response controls.
Ensure behavioral analytics complement preventive controls and add coverage when individual controls are bypassed or fail.
Lead hypothesis-driven threat hunts focused on anomalous human and non-human identity behavior, including credential misuse, privilege abuse, token theft, lateral movement, service-account compromise, and malicious automation.
Develop and document hunts mapped to MITRE ATT&CK, relevant identity attack techniques, current threat intelligence, and observed behavioral patterns.
Establish peer groups and expected behavioral patterns to distinguish legitimate operational variance from suspicious activity.
Investigate behavioral outliers using root-cause analysis, timeline reconstruction, entity relationship mapping, and validation with identity or application owners.
Standardize hunt hypotheses, data requirements, analysis methods, findings, and outcomes.
Convert successful hunts, incidents, purple-team findings, and emerging attack patterns into durable analytics, risk models, and automated response logic.
Build and maintain automated workflows to enrich behavioral anomalies with identity, asset, privilege, ownership, application, threat-intelligence, and historical activity context.
Automate triage, risk scoring, case creation, stakeholder validation, containment, credential rotation, access restriction, and escalation for behavioral detections.
Evaluate and operationalize statistical, machine-learning, graph, peer-group, and AI-assisted techniques for anomaly detection and behavioral analysis.
Define validation methods for analytics and models, including precision, recall, false-positive rate, detection latency, coverage, model drift, and analyst feedback.
Apply explainability and supporting evidence so behavioral findings can be understood, investigated, and acted on by security analysts and system owners.
Establish safeguards, monitoring, and human-review requirements for automated investigation or response actions.
Measure and continuously improve impact on detection time, investigation time, containment time, analyst effort, and threat-actor dwell time.
Mentor junior and mid-level security engineers, providing guidance on technical approach, tooling, and professional development.
Lead technical design and implementation of behavioral analytics, identity detection, telemetry integration, and automated response initiatives, producing architecture documentation, detection specifications, runbooks, and knowledge artifacts.
Participate in hiring processes, including technical interviews and candidate assessments.
Represent the security engineering team in cross-functional technical discussions, translating security requirements and findings for engineering peers and non-technical stakeholders.

Requirements

4–8 years of hands-on experience in security engineering, detection engineering, identity security, threat hunting, security analytics, or a related discipline.
Experience developing behavioral analytics, anomaly detections, correlation logic, threat-hunting queries, or risk-scoring methods from security telemetry.
Experience analyzing activity for workforce identities, privileged accounts, service accounts, machine identities, applications, APIs, or cloud workloads.
Hands-on experience with SIEM, XDR, UEBA/EUBA, identity threat detection and response, SOAR, or comparable security analytics platforms.
Strong understanding of authentication, authorization, privilege, credentials, tokens, secrets, service accounts, workload identities, and common identity-based attack techniques.
Experience integrating and analyzing telemetry from identity providers, endpoints, cloud platforms, applications, privileged-access systems, and other enterprise security technologies.
Proficiency in at least one query, scripting, or programming language: KQL, SPL, SQL, Python, PowerShell, or equivalent.
Experience measuring and tuning detection efficacy, including false-positive reduction, coverage analysis, validation, and operationalization of findings.
Demonstrated experience leading complex security initiatives through design, implementation, testing, stakeholder coordination, and operational adoption.
Ability to communicate analytical findings, behavioral risk, and technical recommendations to engineering teams, system owners, security analysts, and non-technical stakeholders.
Relevant certifications in security analytics, cloud security, identity security, incident response, or security engineering such as CySA+, SSCP, Security+, or equivalent.
Prior experience mentoring or providing technical guidance to junior engineers.

Technologies

SIEM, XDR, SOAR, UEBA/EUBA
KQL, SPL, SQL, Python, PowerShell
MITRE ATT&CK, OAuth
AWS, Azure, Google Cloud
CI/CD

Compensation and Benefits

Annual base salary: USD 130,000 - 195,000
Annual performance bonus
Long-term incentives

Preferred Qualifications

Bachelor’s degree in Computer Science, Information Security, Data Science, Engineering, or a related discipline, or equivalent practical experience.
Experience implementing or operating UEBA, EUBA, identity threat detection and response, non-human identity management, or identity security posture management capabilities.
Experience with statistical analysis, machine learning, graph analytics, peer-group analysis, entity resolution, or AI-assisted security analytics.
Experience detecting threats involving service accounts, machine identities, workload identities, OAuth applications, API keys, certificates, tokens, secrets, or autonomous agents.
Working knowledge of identity and workload services in AWS, Azure, or Google Cloud.
Experience with identity providers, privileged-access management, secrets-management, cloud identity, CI/CD, container, and workload orchestration technologies.
Experience translating threat hunts, incident findings, or purple-team results into production detections and automated response workflows.
Familiarity with MITRE ATT&CK and identity-focused threat frameworks, behavioral detection methodologies, and detection-as-code practices.
Experience supporting governance, privacy, compliance, or audit requirements associated with identity and behavioral telemetry.

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30d ago

Advanced Software Engineer - AI Platform

Relativity Round Lake, IL

Round Lake, IL

30d ago Closed

$103k - $155k/yr Full time Backend Developer Python APIs

This position is no longer accepting applications (closed Nov 3, 2026).

Job Description

Relativity’s AI Platform Experimentation Infrastructure team is building and operating cloud services to accelerate AI experimentation at massive scale.

Responsibilities

Design, develop, and operate distributed, scalable, secure full-stack cloud services processing petabytes of data weekly
Build performant, accessible user interfaces and extend backend services and data pipelines
Write clean, testable, maintainable code to drive customer impact
Partner with teammates and product partners to solve problems, reach team goals, and build AI-powered legal data solutions at massive scale
Contribute to design and code reviews with actionable feedback to improve quality and maintainability
Support service ownership through reliability efforts, including on-call rotations and incident response
Coordinate with other Relativity teams to deliver on cross-team priorities
Stay current with evolving AI tools and techniques

Requirements

3+ years designing, building, and operating cloud-native, distributed systems
Hands-on experience with APIs, event-driven architecture, and data platforms
Comfort developing cloud-based, distributed services
Ability to write clean, maintainable, well-tested code using modern tooling and CI/CD
Security- and reliability-focused mindset with strong cross-functional collaboration across engineering, product, and design
Asks critical questions about the right approach instead of only completing assigned tickets

Technologies

Claude, Cursor
Python
GitHub, GitHub Actions
Docker
Azure, Kubernetes
Databricks, MLflow
OpenTelemetry
PagerDuty

Job Overview

Role is part of the AI Platform Experimentation Infrastructure team
Focus: create and support tools and infrastructure that accelerate experimentation at Relativity

RelativityOne transforms massive volumes of complex information into actionable insights for high-stakes legal workflows where accuracy and trust are essential, including litigation, investigations, regulatory inquiries, and data breach responses. Large law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage relevant information in matters.

What You’ll Work On (Tech Context)

Distributed, scalable systems and cloud-native architectures
AI experimentation support through platform tools and infrastructure
Observability and operational support using OpenTelemetry and PagerDuty
Data and experimentation workflows with Databricks and MLflow

Benefits

Competitive salary (expected range: $103,000 to $155,000 per year)
Health and retirement programs
Wellness resources
Discretionary time off (DTO)
Parental leave for primary and secondary caregivers
Two annual company breaks
Home office stipend
Equity program
Annual performance bonus
Long-term incentives

Location and Level

Location: Illinois (hybrid)
Minimum experience: 3 years

Required Skills

Engineering Principle
Hardware Integration
Innovation
Problem Solving
Process Improvements
Quality Assurance (QA)
Research and Development
System Designs
Technical Documents
Troubleshooting

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1mo ago

Lead Software Engineer - AI Surfaces

Relativity Round Lake, IL

Round Lake, IL

1mo ago Closed

$150k - $224k/yr Full time AI Artificial Intelligence CI/CD

This position is no longer accepting applications (closed Oct 24, 2026).

Job Description

Relativity is hiring a hands-on Lead Software Engineer to drive a major slice of Gavel focused on AI surfaces. In this hybrid role based in Illinois, you will own the technical plan across the front end, harness, and data layer, partnering with engineering, product, design, and shared platform and security teams to move from roadmap to production impact.

Role focus

You will own the technical roadmap and delivery for your area, turning ambiguous product goals into shippable milestones and sequencing work across the full stack. The position includes building and operating agentic capabilities and the infrastructure behind them, then running the evaluation and release loop needed to ship reliably.

Responsibilities

Own the technical roadmap and delivery for your area, from design through production monitoring.
Convert ambiguous goals into shippable milestones and sequence execution across the stack.
Design and build agents and the infrastructure they run on, including tool definitions, prompts and context assembly, structured outputs, guardrails, evaluation sets, and the Word and web experiences that surface them.
Run the evaluation and release loop for your agents.
Track acceptance rates, determine why results shift, and decide whether changes are ready to ship.
Promote a modern squad development lifecycle using small, frequent commits, feature-flagged production deployments, fast rollbacks, and daily use of agentic engineering tools to improve quality and velocity.
Partner directly with Dorna Moini, Pierre Martin, product, and design on what to build next, and engage with customers when clarity from available data is insufficient.
Lead design reviews, define coding and testing standards for the squad, mentor Senior and Advanced engineers, and participate in hiring.
Collaborate with Relativity platform and security teams on shared infrastructure, identity, or compliance touchpoints.

Requirements

8+ years building production software in service-oriented, continuously deployed teams, including at least 1 year shipping LLM-based products or features to real users.
Direct experience building full-stack web applications and agentic applications, including ownership of at least one production agentic capability involving tool use and function calling, multi-step orchestration, structured outputs, retries and failure handling, and observation and debugging of non-deterministic systems.
Practical evaluation experience, including building evaluation sets, selecting metrics, using LLM-as-judge appropriately, and linking offline outcomes to online results.
Solid understanding of retrieval and context engineering, including embeddings, hybrid search, chunking, and ranking strategies with context budgeting.
Hands-on cloud infrastructure experience with AWS or Azure, plus comfort with containers, CI/CD, infrastructure as code, and production observability (or willingness to develop deep expertise quickly).
Fluency in at least TypeScript or Python, with the ability to work across the stack including React front ends, Node or Python services, and PostgreSQL.
Experience leading technical work for a small team through planning, reviews, unblocking, and engineering development while continuing to deliver meaningful code.
Clear written and verbal communication, including explaining model-quality regressions to lawyers and scoping trade-offs to founders.
Strong drive for simplicity and judgment to separate useful abstractions from unnecessary ones.

Technologies

TypeScript, Python, React, Node, PostgreSQL
AWS, Azure
containers, CI/CD, infrastructure as code
LLM-as-judge, embeddings, hybrid search, chunking, ranking strategies

Compensation and benefits

Competitive salary, benefits, DTO, parental leave, and an equity program.
Annual performance bonus.
Long-term incentives.
Expected total compensation includes a competitive base salary, an annual performance bonus, and long-term incentives.
Salary range: $150,000 to $224,000 (expected).

Posting type: Hybrid/Remote. May be based remotely in the United States or in Seattle or Chicago. Location: Illinois (hybrid).

Required skills

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

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1mo ago

Advanced Software Engineer

Relativity Round Lake, IL

Round Lake, IL

1mo ago Closed

$103k - $155k/yr Full time Backend Developer .NET APIs

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

Relativity builds distributed, secure cloud services that power AI-enabled legal data solutions at massive scale. This hybrid role in Illinois focuses on LLM infrastructure, reliability, and shipping performant full-stack experiences, from user interfaces to backend services that process petabytes of data weekly.

What you’ll work on

Design, develop, and operate distributed, scalable, secure full-stack cloud services that process petabytes of data weekly.
Build performant and accessible user interfaces, and extend backend services and data pipelines.
Write clean, testable, maintainable code that drives customer impact.
Collaborate with diverse teammates and product partners to solve problems, meet team goals, and deliver AI-powered legal data solutions at scale.
Contribute in design and code reviews by providing constructive feedback to improve quality and maintainability.
Support service ownership through reliability efforts, including on-call rotations and incident response.
Improve platform throughput, latency, and cost per document, including capacity headroom, token efficiency, and model routing and failover across regions.
Partner with product teams to shape APIs and bring new models and capabilities to production safely, including in government cloud environments.

Core requirements

3+ years designing, building, and operating cloud-native, distributed systems.
Hands-on experience with APIs, event-driven architecture, and data platforms.
Comfort developing cloud-based, distributed services.
Ability to write clean, maintainable, well-tested code using modern tooling and CI/CD.
Security- and reliability-focused mindset with strong cross-functional collaboration across engineering, product, and design.
Proficiency in Python and/or C#/.NET, with production experience running services on Kubernetes in a major cloud.
Track record of debugging and improving production systems, including distributed tracing, metrics, and comfort owning a service others depend on, including on-call.