{"id":3972696,"url":"https://alion.io/job/epiq-software-engineer-infrastructure","title":"Software Engineer, Infrastructure","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":89,"open_postings":18,"ghost_share":0,"stale_share":0.556,"repost_share":0.111,"time_to_fill_p50_days":19,"computed_at":"2026-11-09T06:03:00Z"}},"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","Toronto, Canada"],"countries":["US","CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":260000,"currency":"USD","period":"year","gross":null,"usd_annual":260000},"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":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Incident Management","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":"Qdrant","optional":true},{"name":"RabbitMQ","optional":true}],"status":"live","first_seen_at":"2026-11-09T16:48:06Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T16:48:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\n Job 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.\nWe 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.\nThe Opportunity\nYou 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.\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.\nEssential Job Responsibilities\nWrite, test, review, and maintain reusable Terraform modules and infrastructure automation for provisioning, environment configuration, 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 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.\nOperate 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.\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.\nUse 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.\nBuild and maintain AI-native developer tooling and technical design documentation, and contribute to architectural reviews.\nParticipate in the on-call rotation and incident response; maintain runbooks, test backup and restore procedures, and turn incident findings into lasting fixes.\n 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.\nSenior+ 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.\nRequired Qualifications\n3+ 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.\nExperience building and operating production infrastructure, including on-call responsibility for systems you have built, improved, or maintained.\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 using observability tools such as Prometheus, Grafana, or OpenTelemetry to monitor service health, diagnose incidents, and track service-level objectives.\nExperience participating in production incident response and applying lessons from incident reviews.\nExperience managing secrets and certificates in production, including secure storage, rotation, and renewal.\nProficiency in Python, Go, or a comparable language, with experience building, testing, and maintaining production tooling and automation.\nDemonstrated proficiency using AI coding agents in day-to-day development, with sound judgment about where they accelerate work and where they fail.\nStrong system-design and architecture experience, including production of technical design documents.\nSelf-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.\nSenior+ 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.\nSenior+ 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.\nPreferred Qualifications\nExperience building AI-native developer tooling and feedback loops for engineers and AI coding agents.\nDatabase operations experience, including PostgreSQL high availability, backup, and failover.\nExperience with multi-region deployments and data-residency or sovereignty requirements.\n\nExperience with customer identity and access management systems.\nExperience operating GPU clusters or model-serving infrastructure in production, including scheduling, utilization, and cost management.\n#LI-KS1 #1100 Epiq eDiscovery Solutions, Inc.\nCandidates who meet most, but not all, of the qualifications above are encouraged to apply.\nThe Compensation range for this role is $180,000 -$260,000 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.\nTechnology Stack\nAzure · AWS · On-prem GPU clusters · Terraform · Kubernetes · Docker · CI/CD and release automation · Prometheus · Grafana · OpenTelemetry · PostgreSQL · RabbitMQ · Solr · Qdrant · Python\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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