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…Learning – Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions…

Software Engineer, Infrastructure

NY, United States

$180,000 to $260,000 USD / year

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Job details

Pay: $180,000 to $260,000 USD / year
Experience: 3+ years of professional experience in infrastructure engineering, platform engineering, or site reliability engineering.
Posting language: English
Posted: Nov 9, 2026

Original job description

At Epiq, your work contributes to complex, global legal outcomes. You’ll join a values‑driven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprise‑wide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that’s recognized externally. Enabled by modern platforms and AI, you’ll do the most meaningful work of your career and see your impact at scale.

Job Description:

Epiq AI Labs is the innovation and engineering hub behind Epiq’s next-generation AI platform for corporate legal departments and global law firms. Operating with the speed and autonomy of a startup and the resources of a global alternative legal services provider, the team builds intelligent agents, reasoning engines, knowledge systems, and structured workflows for litigation, investigations, compliance, and corporate knowledge work. We are fast, experimental, and product-obsessed, with high autonomy, high trust, and low bureaucracy. We ship to real legal clients and hold a high bar for correctness, and we use AI tools throughout our own development workflow. The team is deeply technical, highly collaborative, and owns its systems end to end - you design it, you build it, you ship it. The Opportunity You will build and operate the cloud infrastructure and automation behind Epiq AI Labs’ AI platform, including infrastructure as code, Kubernetes, CI/CD, networking, secrets, and observability across Azure, AWS, and Epiq-managed on-prem GPU environments. Writing, testing, debugging, and reviewing infrastructure code and automation are daily responsibilities at every level, including Principal. Ownership extends from design through production operation, with scope matched to your level. Infrastructure is treated as a product whose reliability, scalability, and security shape the capabilities of the entire platform. You will partner closely with backend engineering, AI engineering, product management, and security to establish deployment, observability, and security patterns that can scale with the organization. Essential Job Responsibilities

Write, test, review, and maintain reusable Terraform modules and infrastructure automation for provisioning, environment configuration, and drift detection and remediation.
Operate Kubernetes in production, including orchestration, autoscaling, resource governance, network policy, and cluster lifecycle management.
Build and maintain CI/CD and GitOps release automation, improving build and test feedback and targeting zero-downtime rollouts through progressive delivery, safe rollback, and protection of in-flight requests and long-running jobs.
Operate the Epiq-managed GPU infrastructure (cloud and on-prem) that serves Epiq AI's in-house models: cluster management and scheduling, utilization and cost, observability, and model-serving reliability.
Define platform service-level objectives and build the metrics, tracing, alerting, and error-budget practices required to support them.
Implement security and compliance infrastructure, including hardening, audit logging, data-residency controls, retention, legal hold, and audit evidence collection.
Build and maintain network, secrets, key, credential, TLS, and certificate-lifecycle infrastructure.
Use AI coding agents throughout development while owning the outcome - the design, specifications and test plans, code review, and verification of correctness, security, and maintainability - and ship major changes behind automated tests and controlled rollouts, with stakeholder validation where appropriate.
Build and maintain AI-native developer tooling and technical design documentation, and contribute to architectural reviews.
Participate in the on-call rotation and incident response; maintain runbooks, test backup and restore procedures, and turn incident findings into lasting fixes.
Senior+ level: Define the foundational infrastructure architecture and patterns (deployment, environment topology, observability, and security) that other teams build on, and lead major migrations, modernization, and capacity planning while protecting production availability.
Senior+ level: Raise the engineering bar by promoting best engineering practice, building reusable platform primitives, mentoring engineers, and partnering with product and engineering leaders on technical direction while staying hands-on and accountable for delivering working software.

Required Qualifications

3+ years of professional experience in infrastructure engineering, platform engineering, or site reliability engineering. Hiring level will reflect demonstrated technical depth, scope of ownership, and impact.
Experience building and operating production infrastructure, including on-call responsibility for systems you have built, improved, or maintained.
Hands-on experience with at least one major cloud platform such as AWS, GCP, or Azure.
Experience with infrastructure-as-code tools, particularly Terraform, including reusable module design.
Production Kubernetes experience, including scaling, upgrades, resource limits, network policy, and troubleshooting.
Ownership of CI/CD pipelines using GitHub Actions, Azure DevOps, or a comparable platform.
Experience using observability tools such as Prometheus, Grafana, or OpenTelemetry to monitor service health, diagnose incidents, and track service-level objectives.
Experience participating in production incident response and applying lessons from incident reviews.
Experience managing secrets and certificates in production, including secure storage, rotation, and renewal.
Proficiency in Python, Go, or a comparable language, with experience building, testing, and maintaining production tooling and automation.
Demonstrated proficiency using AI coding agents in day-to-day development, with sound judgment about where they accelerate work and where they fail.
Strong system-design and architecture experience, including production of technical design documents.
Self-motivated, with high ownership: you solve problems end to end, actively keep up with new developments in AI, and quickly learn and apply new technologies and approaches to your work, including areas you haven't worked in before.
Senior+ level: Demonstrated technical leadership at the corresponding level, with a track record of delivering complex platform or distributed systems across multiple teams, and deep expertise in production reliability, capacity planning, and incident management at organizational scale.
Senior+ level: Proven ability to lead technical direction across organizational boundaries without direct authority, and to communicate architectural trade-offs to technical and non-technical audiences.

Preferred Qualifications

Experience building AI-native developer tooling and feedback loops for engineers and AI coding agents.
Database operations experience, including PostgreSQL high availability, backup, and failover.
Experience with multi-region deployments and data-residency or sovereignty requirements.

•

Experience with customer identity and access management systems.
Experience operating GPU clusters or model-serving infrastructure in production, including scheduling, utilization, and cost management.

#1100 Epiq eDiscovery Solutions, Inc.

Candidates who meet most, but not all, of the qualifications above are encouraged to apply.

The Compensation range for this role is $180,000 -$260,000 USD annually and may be eligible for an annual bonus.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Must be authorized to work in the United States for any employer.

Technology Stack Azure · AWS · On-prem GPU clusters · Terraform · Kubernetes · Docker · CI/CD and release automation · Prometheus · Grafana · OpenTelemetry · PostgreSQL · RabbitMQ · Solr · Qdrant · Python

Your specific salary will be determined based on several factors:

Location-based market rate for the role
Your abilities in relation to the job specification
Performance during screening and interview
Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click here to learn about Epiq's Benefits.

Epiq Leadership Compass

Fosters Relationships & Collaboration Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.

Build trust-based partnerships
Nurture long-term relationships
Remove collaboration barriers
Celebrate cross-team success

Engages & Influences Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.

Use storytelling to build buy-in
Align communication with organizational goals
Guild alignment through strong engagement

Maximizes Performance Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals.

Use data to identify improvement opportunities
Make informed decisions
Align team goals with boarder strategy
Empower teams to manage their own goals
Translate vision into clear priorities
Prepare for disruptions with strong change management

Achieves Operational Success Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.

Improve workflows for team efficiency
Use clear documentation and expectations
Resolve issues quickly using data and feedback

It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.

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