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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Infrastructure - **Company:** Epiq - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $180,000 - $260,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Release Automation, Audit Trail, Automation of Tests, Microsoft Azure, Backup Devices, Computer Clusters, Code Review, Computer Networks, Continuous Integration, Software Design Documents, Programming Tools, Distributed Systems, Failover, Github, Python (Programming Language), PostgreSQL, RabbitMQ, Reliability Engineering, Prometheus, Apache Solr, Backup and Restore, Qdrant, Google Cloud, Cloud Platform System, System Availability, Grafana, AI Coding Agents, Kubernetes, Infrastructure Automation Frameworks, Machine Learning Operations, Hardware Infrastructure, Drift Detection, Terraform, Docker - **Published:** November 14, 2026 - **Apply:** https://www.dice.com/job-detail/25404e79-7b97-41bb-9f59-da5e1d352130 ## About the Role * 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, Google Cloud Platform, 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., Must be authorized to work in the United States for any employer. ## Description 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., Azure AWS On-prem GPU clusters Terraform Kubernetes Docker CI/CD and release automation Prometheus Grafana OpenTelemetry PostgreSQL RabbitMQ Solr Qdrant Python, 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