{"id":1119289,"url":"https://alion.io/job/epiq-software-engineer-infrastructure-ai-labs","title":"Software Engineer, Infrastructure, AI Labs","company":{"id":4815,"name":"Epiq","domain":"epiqglobal.com","url":"https://alion.io/company/epiq","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":13,"ghost_share":0,"stale_share":0.769,"repost_share":0.077,"time_to_fill_p50_days":16,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":145000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Progressive Delivery","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"SRE","optional":false},{"name":"Terraform","optional":false},{"name":"Docker","optional":true},{"name":"PostgreSQL","optional":true},{"name":"RabbitMQ","optional":true}],"status":"live","first_seen_at":"2026-08-18T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-14T09:20:42Z","board_verified":true,"closed_at":null,"days_open":57,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":57},"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 wethrive 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.\nJob Description:\nEpiq 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.\nThe team is highly collaborative, deeply technical, and focused on rapid iteration, thoughtful design, and end-to-end ownership.\nThe Opportunity\nYou will build the cloud infrastructure beneath Epiq AI Labs’ AI platform, spanning infrastructure as code, Kubernetes, CI/CD and release engineering, networking, secrets management, observability, security, and compliance infrastructure. Ownership extends from initial design through production operation.\nInfrastructure 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. This role will be in the office 3~4 days a week.\nEssential Job Responsibilities\nDesign and implement cloud infrastructure using Terraform, including reusable modules, environment topology, and drift detection and remediation.\nOperate Kubernetes in production, including orchestration, autoscaling, resource governance, network policy, and cluster lifecycle management.\nBuild and maintain CI/CD and release infrastructure with progressive delivery, rollback mechanisms, and efficient paths from merge to production.\nDefine platform service-level objectives and build the metrics, tracing, alerting, and error-budget practices required to support them.\nImplement security and compliance infrastructure, including hardening, audit logging, data-residency controls, retention, legal hold, and audit evidence collection.\nBuild and maintain network, secrets, key, credential, TLS, and certificate-lifecycle infrastructure.\nContribute to incident response, post-incident review, developer tooling, technical design documentation, architectural review, and platform operational readiness.\nRequired Qualifications\n3+ years of experience in infrastructure engineering, platform engineering, or site reliability engineering.\nDemonstrated experience building and operating production infrastructure, including on-call responsibility for systems of your own design.\nHands-on experience with at least one major cloud platform such as AWS, GCP, or Azure.\nExperience with infrastructure-as-code tools, particularly Terraform, including reusable module design.\nProduction Kubernetes experience, including scaling, upgrades, resource limits, network policy, and troubleshooting.\nOwnership of CI/CD pipelines using GitHub Actions, Azure DevOps, or a comparable platform.\nExperience with observability tooling such as Prometheus, Grafana, or OpenTelemetry, including defining and maintaining service-level objectives.\nDemonstrated incident-command experience in production environments.\nExperience with secrets and certificate management at organizational scale.\nProficiency in Python, Go, or a comparable language sufficient to build tooling and automation.\nStrong system-design and architecture experience, including production of technical design documents.\nTechnology Stack\n· Azure · Terraform · Kubernetes · Docker · Prometheus · Grafana · OpenTelemetry · PostgreSQL · RabbitMQ · Python.\n#LI-KS1 #1100\nThe Compensation range for this role is $145,000 -$200,000 USD annually and may be eligible for an annual bonus.\nIn 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.\nMust be authorized to work in the United States for any employer.\nYour specific salary will be determined based on several factors:\nLocation-based market rate for the role\n\nYour abilities in relation to the job specification\n\nPerformance during screening and interview\n\nPay parity with the wider team in the considered location\n\nFurther details about the package will be provided during the initial screening call with the Talent Acquisition Team.\nClick here to learn about Epiq's Benefits.\nEpiq Leadership Compass\nFosters Relationships & Collaboration\nBuilds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.\nBuild trust-based partnerships\n\nNurture long-term relationships\n\nRemove collaboration barriers\n\nCelebrate cross-team success\n\nEngages & Influences\nInspires action and alignment through clear communication, purposeful influence, and a compelling vision.\nUse storytelling to build buy-in\n\nAlign communication with organizational goals\n\nGuild alignment through strong engagement\n\nMaximizes Performance\nSets and reinforces performance standards that drive results, ensure accountability, and align with Epiq’s goals.\nUse data to identify improvement opportunities\n\nMake informed decisions\n\nAlign team goals with boarder strategy\n\nEmpower teams to manage their own goals\n\nTranslate vision into clear priorities\n\nPrepare for disruptions with strong change management\n\nAchieves Operational Success\nDrives continuous improvement and operational excellence through smart processes, data insights, and quality execution.\nImprove workflows for team efficiency\n\nUse clear documentation and expectations\n\nResolve issues quickly using data and feedback\n\nIt 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. 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