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Added 19 mins ago
Management Consultant - Data Engineer
IBM
LA
As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This…
Added 21 mins ago
WAN Engineer
Jobgether
Remote, United States
We are seeking an experienced Wide Area Network (WAN) Engineer to support the reliability, security, and performance of enterprise network infrastructure in a federal government…
Added 21 mins ago
J
Senior Technical Lead - AI Product Engineering (CMH Health)
Jobgether
Remote, United States
- $131,600 to $249,780 USD / year
The ideal candidate is an experienced software engineer and technical leader who can combine strong implementation skills with sound architectural judgment, delivery accountability, and the…
Added 21 mins ago
J
Senior Software Development Engineer (Full Stack)
Jobgether
Remote, United States
- $140,000 to $155,000 USD / year
As a Senior Software Development Engineer, you will help build and evolve scalable infrastructure powering real-time voice and messaging experiences. You will take ownership of key platform…
Added 21 mins ago
Senior Data Architect
Jobgether
Remote, United States
Define infrastructure-as-code practices using Bicep and Terraform for Azure resources, identities, and networking.
Added 21 mins ago
Senior Automation Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Automation Engineer based in the United States.
Added 30 mins ago
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Lead Principal Software Development Engineer
Oracle
Honolulu, HI
- $135,200 to $306,400 USD / year
As a Sr. Principal Software Development Engineer in the Oracle Cloud Infrastructure (OCI) Core Platform division, you will play a critical leadership role in the architecture, evolution,…
Added 30 mins ago
Data Engineer (5626)
SMX
Honolulu, HI
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Added 39 mins ago
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Citibank, N.A.
United States
You will act as a hands-on architect, engineer, and partner to cross functional teams - including Data Engineering, Architecture, Enterprise Platforms, and Product - defining the technical…
Added 53 mins ago
Senior Forward Deployed Solution Engineer
Jobgether
Remote, United States
The Senior Forward Deployed Solution Engineer will lead complex customer deployments, translating strategic business and mission objectives into reliable, production-ready technical…
Added 53 mins ago
Forward Deployed Software Engineer
Jobgether
Remote, United States
As a Forward Deployed Software Engineer, you will work at the intersection of software architecture, product development, and customer collaboration to solve complex technical challenges.…
Added 1 hour ago
ASIC Failure Analysis Engineer (Onsite)
Cisco
San Jose, CA
As a Failure Analysis Engineer, you will be part of the Quality and Reliability group, performing failure analysis of ASIC products. Should have a passion for problem solving and a strong…
Added 1 hour ago
AI/Automation Engineer - Level 2 (Chandler) (AHT)
Northrop Grumman
Chandler, AZ
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Added 1 hour ago
AI/Automation Engineer - Level 3/4 (Chandler) (AHT)
Northrop Grumman
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Added 1 hour ago
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Network / System Engineer III
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- $65 to $70 USD / hour
Our client is seeking a Network / System Engineer III to join their team. As a Network / System Engineer III, you will be part of the Infrastructure Services organization supporting Network…
Added 1 hour ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
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System Software Engineer - Trusted Firmware
NVIDIA USA
CA
Are you ready to be part of an inclusive team that’s driving the future of technology? As a Tegra System Software Engineer at NVIDIA, you will play a pivotal role in crafting the next…
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Senior Software Engineer, Cloud Platform
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…manage hardware and network provisioning to build a multi-tenant infrastructure. As a software engineer, you will work with other software engineers, product architects, and product…
Added 2 hours ago
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Principal Core Infrastructure Engineer
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Nashville, TN
- $114,600 to $234,600 USD / year
As a Principal Software Engineer, you will lead the design and development of FastConnect control plane services that manage a globally distributed fleet of networking infrastructure. You…
Added 2 hours ago
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4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
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Staff Software Engineer, Technical Lead, Infra, Tech Acquisition, Regulatory, Compliance, and Policy, Search
Google
Cambridge, MA
Share Staff Software Engineer, Technical Lead, Infra, Tech Acquisition, Regulatory, Compliance, and Policy, Search
Added 2 hours ago
Senior Data Scientist Engineer - SFL Scientific
Deloitte
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…optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the…
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Data Scientist Engineer - SFL Scientific
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Boston, MA
…optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the…
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Google Infrastructure and Security Lead Architect
Deloitte
Boston, MA
…solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We…
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Google AI Architect
Deloitte
Boston, MA
…solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We…

Relativity ODA LLC

Advanced Software Engineer

IL, United States

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Job details

Experience: 3+ years of professional software development experience using C# and Microsoft SQL Server, or related object-oriented languages.
Posting language: English
Posted: Oct 30, 2026

Original job description

Posting Type Hybrid/Remote

Job Overview 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, turns 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 for academic institutions through Relativity Academic and to supporting pro bono legal work through Justice for Change.

AI at Relativity

Over the past two years, billions of documents have benefited from Relativity AI, and we are just beginning. We apply AI to improve every user experience, product, matter, and investigation, so users can find the truth faster and act on data with confidence. Our team values curiosity, experimentation, and continuous learning: we test boldly, learn quickly, and improve every day.

Job Description and Requirements As an Advanced Software Engineer at Relativity, you will independently take features from design to production in our cloud-based SaaS platform, using AI both as a tool and as a product capability. You will write production C# and SQL, and you will build the services, instrumentation, evaluation harnesses, and data pipelines that turn an Applied Science approach into something customers can rely on, and diagnose what goes wrong when they can't.

Our team is the driving force behind Case Strategy, a comprehensive suite of applications designed to empower case teams in constructing winning cases. By seamlessly integrating with Relativity, Case Strategy allows users to quickly and easily define, validate, and present their case strategies. Our team owns the flagship AI product that significantly reduces the time and effort needed to analyze, organize, and understand case information, enhancing attorney productivity and case management. We are proud to be one of the few teams at Relativity leveraging AI to innovate our products, making us a leader in the legal tech space.

You will build and operate the AI systems behind Relativity aiR at production scale, under real legal stakes. You will work side by side with Applied Scientists, who own the science, and with Product, who owns the value case, so that what we ship meets the reliability target it was promised at. Along the way you will work with multiple databases, processing and web servers, search engines, and clustering technologies, using many of the newer and stronger technologies available.

Responsibilities

Core software engineering

Product Development. Build our primary product offering, Relativity, using object-oriented analysis, design, and programming with SOLID principles and design patterns in multiple languages.
Agile Delivery. Participate in our SCRUM process and deliver through CI/CD with strong observability.
Performance. Improve application and system performance at scale.
Quality and Support. Troubleshoot issues by fixing defects and responding to client-specific problems.

AI engineering

Prototype to Production. Independently take a prototype or notebook from Applied Science to a deployed, monitored production service, delivered through CI/CD.
Instrument. Instrument models and prompts for quality, latency, and cost, and build dashboards and alerts against the reliability target.
Diagnose. Diagnose and mitigate common failure modes, including drift, latency regressions, cost blow-ups, tool-call and retrieval errors, and data-quality effects on outputs.
Evaluation Harness. Build and maintain the evaluation harness and regression checks that gate releases, and extend coverage as use cases grow.
Component Design. Design components of an AI solution with senior review, document interfaces and non-functional requirements, and apply patterns proven elsewhere in the company.
Data Pipelines. Build and operate the pipelines for a feature with reproducibility, lineage, and automated data-quality monitoring.
Trade-offs. Make and document implementation trade-offs (batching, caching, model tier, timeouts, fallbacks) with sound reasoning about quality and cost.
Security and Compliance. Work with Relativity's security team to protect customer data and meet compliance requirements in every AI feature you build.
AI-Assisted Development. Use modern AI coding tools in your daily work to raise the speed and quality of design, development, testing, and code review, and share what works with the team.

Collaboration and growth

Prioritize. Prioritize independently across competing tasks and deliver predictably.
Mentor and Collaborate. Mentor L3 engineers, and collaborate across the team and with Applied Science, product managers, and the AI platform team.
Communication. Keep your team informed about AI innovations, learning opportunities, and future directions.

Required Qualifications

3+ years of professional software development experience using C# and Microsoft SQL Server, or related object-oriented languages.
Experience building web applications with JavaScript and ASP.NET.
Experience building scalable solutions on Azure or another cloud platform.
Experience working on an agile software development team.
Experience with CI/CD and an understanding of DevOps principles.
1+ year building or operating AI/ML systems or their data pipelines, such as LLM integrations, prompt design, retrieval-augmented generation (RAG), or embeddings.
Experience deploying and monitoring models or LLM-based services in a cloud environment.
Practical ML fluency: you can read evaluation results, reason about model failure modes, and make quality, latency, and cost trade-offs.
Experience building data pipelines with orchestration tooling (such as Prefect or Airflow) and attention to reproducibility.
Working knowledge of Python alongside C#.
Regular use of AI-assisted development tools, with sound judgment about when to trust and when to verify their output.
Ability to design and document a component of a larger system, including non-functional requirements.
Effective collaboration with scientists, engineers, and product partners.

Preferred Qualifications

Experience building evaluation harnesses or regression suites for AI systems, including evaluating LLM output quality.
Experience with LLM orchestration or agent frameworks, agentic workflows, and tool calling.
Experience with large-scale or sensitive data.
Experience with Azure DevOps and Azure AI and data services.
Experience with Docker, Kubernetes, and Helm.
Experience with infrastructure as code (for example Terraform, Pulumi, AWS CDK, or CloudFormation).
Experience with MLflow or Kubeflow, or with big data frameworks such as Apache Spark or Kafka.
Experience building or deploying models with frameworks such as PyTorch, TensorFlow, or Keras, or depth in an area such as NLP.
Bachelor's or advanced degree in Computer Science, Computer Engineering, Mathematics, Statistics, or Artificial Intelligence.

Why We Could Be a Great Fit

Impactful Mission. Organize Data, Discover the Truth and Act on It. Our customers include Fortune 500 enterprises and leading law firms managing high-stakes matters on our platform.
Growth Path. Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, which accelerates career growth.
Engineering Culture. Continuous delivery, strong observability, and end-to-end ownership.
Inclusive Environment. Diverse backgrounds and perspectives make us stronger.
Community Impact. Volunteer opportunities and company-sponsored charitable programs.
Compensation and Benefits. Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, a home office stipend, and an 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:

$103,000 and $155,000 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:

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

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