Provides cross-functional architectural guidance across product areas, identifies technical risks and debt, makes design decisions, and translates architecture into executable engineering work. The role establishes coding and testing standards, mentors engineers, supports production applications, and owns build and release pipelines. The engineer also contributes to requirements, code reviews, security practices, automated testing, technical debt reduction, and reliable delivery across multiple codebases.
About KLDiscovery
KLDiscovery is a global eDiscovery and legal technology provider serving large law firms, corporate legal departments, and government agencies. We build and operate the products and services that legal teams rely on to manage, process, and review case data at scale. With operations across multiple countries and a client base that includes AmLaw 200 firms, we handle some of the largest and most complex matters in the industry.
About the Role
The Staff Software Engineer role at KLDiscovery is cross-cutting by design. Staff Software Engineers are not permanent members of any team. They move to other teams based on needs or project priorities. You will provide architectural judgment across product areas that don't have dedicated Architect coverage, identify risks before they compound, mentor developers, and enforce engineering standards. You are the technical voice that connects Engineering leadership, Architecture, and the development teams doing the work.
We offer competitive total compensation that includes base pay, bonus potential, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs. Individual compensation will vary, although a reasonable estimate of the current annualized base pay range for this position is $140,000 to $160,000.
Job location: Remote (but candidate must be based in the United States)
Key Responsibilities:
- Identify and raise risks across multiple modules, including security risks and downstream platform impacts, before they reach production
- Provide architectural guidance across multiple product areas and make cross-module design decisions
- Work closely with Team Leadership and Architects to translate architecture decisions into work the Engineering team can execute
- Write and refine requirements for features in collaboration with Product and Team Leadership
- Provide input on Engineering and coding standards and hold the team to them
- Mentor and guide less experienced engineers toward solutions, making it a learning experience rather than just handing out answers
- Identify technical debt across projects and use a data-driven approach to advocate for addressing it
- Support multiple product areas concurrently and context-switch between efforts as priorities shift
You Will Also
- Perform and set expectations for peer code reviews
- Drive automated testing practices including integration, end-to-end, and regression tests
- Own and improve automated build and release pipelines
- Support production applications including bug fixes and enhancements within defined SLAs (Service Level Agreements)
Shared Expectations:
- Produce high-quality software and automate repetitive work
- Share knowledge, keep learning, and take initiative to make things better
- Communicate directly and clearly; report issues or roadblocks that may affect the team's success
- Take ownership of your work and its outcome; set realistic expectations and deliver on them
- Be respectful, contribute to a positive team culture, and support feedback with data and examples
- Make data-driven decisions wherever possible
What You Bring (required skills):
- Track record as a senior or staff-level engineer building and maintaining web applications across multiple product areas or organizations
- Strong proficiency in Angular and .NET (C#); experience with API design and building services that other teams consume
- Demonstrated history of identifying and mitigating technical risk across multiple codebases or product areas
- Ability to operate independently, make sound architectural trade-off decisions, and communicate those decisions clearly to both technical and non-technical stakeholders
- Understanding of how to design and develop with security in mind, particularly in environments handling sensitive client data
- Experience mentoring engineers at various levels and elevating a team's overall output
Nice to Have (preferred skills):
- Experience with Microsoft Azure (hosting, services, infrastructure)
- Experience with PostgreSQL and/or SQL Server
- Familiarity with GitHub and Azure DevOps Pipelines
- Experience working in or around eDiscovery, legal technology, or similarly regulated/compliance-sensitive domains
- Familiarity with eDiscovery workflows: processing, production, review, and the operational coordination around them
- Experience designing or operating multi-tenant systems
- Experience building orchestration or workflow engine platforms
- Experience with real-time alerting or telemetry systems
- Exposure to AI/ML integration within internal operational tools and applications
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Architect, build, and operate production agentic AI systems for enterprise identity security. Design multi-agent orchestration, retrieval-grounding (RAG, vector stores, hybrid search), model integration and evaluation, trust and safety guardrails, observability, and reliability. Lead technical architecture, code quality, and mentor engineers to ship scalable, production-grade AI-powered access management features.
Top Skills:
AnthropicGoogleHybrid SearchOpenaiPrompt EngineeringPythonRagRetrieval Evaluation MetricsVector Stores
Healthtech • Software
Lead design and development of scalable, cloud-native AI healthcare payment integrity platforms. Provide technical leadership, own production code and releases, design data/retrieval architectures, ensure observability, security, and compliance, and collaborate with ML, product, and architecture teams to deliver performant SaaS solutions.
Top Skills:
Auth/Authz FrameworksAutomated TestingCi/CdClinical OntologiesData ModelingData Systems/PipelinesEvaluation FrameworksEvent-Driven SystemsHealthcare Interoperability StandardsInfrastructure As Code (Iac)InstrumentationMulti-Agent Ai ArchitecturesObservabilityRag (Retrieval-Augmented Generation)Secure Api Design
Edtech • Social Impact
Lead architecture and build full-stack web applications (Rails, Sinatra/Padrino, Django). Own infrastructure, data modeling, API design, and performance; write robust tests; mentor engineers; integrate AI/ML features; and collaborate with stakeholders to shape product and scale the platform.
Top Skills:
AnsibleClaude CodeCSSDjangoDockerGCPGenerative AiLlmsPadrinoPostgresRuby On RailsSinatraTerraform
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
