• Owning tasks and larger projects from planning to production rollout • Learning new technologies and building expertise with the goal of teaching and mentoring others; mentoring with the goal of force-multiplying through docs and tools • Maintaining organization cloud presence in AWS • Automating and deploying infrastructure configurations using Infrastructure as Code (IAC) • Mentoring engineering squads on Platform best practices for Kubernetes, MySQL, Kafka, and other software development lifecycle areas • Assisting engineering squads with capacity planning, on-call preparation, and production readiness • Writing documentation and runbooks that contribute to the engineering organization’s knowledge base • Implementing monitoring and alerting systems with Discogs observability tools • Working in a containerized, orchestrated environment • Participating in on-call rotation, responding to incidents, and troubleshooting data and other operations issues • Contributing to the reliability and design patterns of our Kafka CDC and event workflows • Contributing to agentic AI best practices and tooling, including skills, agents, and safety

• Serve as a senior technical leader responsible for designing, building, and evolving the infrastructure, automation, and cloud platform capabilities that power Conga’s revenue lifecycle management solutions • Partner closely with Engineering, Product, Security, and Operations teams to establish scalable DevOps practices, accelerate software delivery, and improve platform reliability across our global SaaS ecosystem • Influence architectural decisions, drive modernization initiatives, and champion best practices that improve developer productivity, system scalability, and operational excellence • Help shape the future of our engineering platform by designing highly available cloud infrastructure, advancing automation capabilities, and enabling best-in-class development experiences. • Design, implement, and optimize enterprise-scale CI/CD pipelines that accelerate software delivery • Establish automation strategies that improve deployment consistency, quality, and release velocity • Architect, build, and maintain highly available cloud environments across AWS and Microsoft Azure. • Develop Infrastructure-as-Code solutions using technologies such as Terraform and CloudFormation • Champion Site Reliability Engineering (SRE) principles and reliability-focused engineering practices.

• Design, implement, and maintain scalable CI/CD pipelines that automate software build, testing, deployment, and release processes. • Drive continuous improvement initiatives that increase deployment efficiency, reliability, and developer productivity. • Partner with engineering teams to establish DevOps best practices across the software development lifecycle. • Champion automation-first approaches that reduce manual effort and improve operational consistency. • Design and support highly available, secure, and scalable cloud infrastructure across AWS and Microsoft Azure environments. • Develop and maintain Infrastructure-as-Code (IaC) solutions using tools such as Terraform and CloudFormation. • Optimize platform performance, cost efficiency, and operational resilience across production and non-production environments. • Partner with engineering teams to build and maintain cloud-native architectures that support growth and scale. • Design, deploy, and manage containerized workloads utilizing Docker and Kubernetes. • Establish deployment standards and operational best practices for Kubernetes-based environments. • Support container orchestration, monitoring, scaling, and lifecycle management initiatives. • Drive platform modernization efforts through the adoption of cloud-native technologies. • Implement and maintain infrastructure and application security best practices, including encryption, access controls, network security, and vulnerability management. • Design solutions that support fault tolerance, disaster recovery, and business continuity objectives. • Collaborate with teams to improve observability, monitoring, alerting, and incident response capabilities. • Proactively identify risks and implement solutions that improve system reliability and uptime. • Collaborate with software engineers, architects, and product teams to support scalable application development and deployment strategies. • Provide technical guidance on infrastructure architecture, cloud adoption, and operational best practices. • Participate in architectural reviews and contribute to long-term platform strategy discussions. • Foster a culture of continuous learning, innovation, and engineering excellence.

Role Description Mojio's DevOps function is lean and hands-on. You'll join a small team responsible for our AWS-based infrastructure, security posture, and internal IT needs, working alongside another DevOps engineer to keep things running smoothly rather than covering everything solo. This is an individual-contributor role: you won't be managing a team, but you will have real, direct ownership over production infrastructure. A self-directed, dependable, detail-oriented approach matters more than seniority or years of experience. Key Responsibilities - Manage and maintain Mojio's AWS infrastructure - EKS, RDS, VPC/networking, IAM, CloudFront, ECR, and related services - supporting a worldwide, ISO 27001-aligned production environment. - Operate and troubleshoot our Kubernetes-based platform (including Knative workloads and Helm charts), and support GitOps-based deployment workflows (e.g., Argo CD, Flux) and CI/CD pipelines (GitHub Actions). - Own day-to-day security operations: triage and remediate vulnerabilities (CVEs, dependency and container scanning findings via tools like Snyk), apply patches, and maintain our security scanning/compliance posture (e.g., AWS Security Hub). - Manage access and identity administration — provisioning and de-provisioning AWS/VPN/Okta/GitHub access, handling employee onboarding and offboarding requests, and responding to day-to-day IT and access-request tickets from the team. - Support monitoring and alerting (Grafana, Prometheus, PagerDuty) and participate in an on-call rotation to help resolve production issues and outages. - Assist with cost optimization efforts (e.g., right-sizing, Spot Instance usage, cost visibility tooling) and infrastructure-as-code practices (Terraform). - Work with the Engineering team on making infrastructure and deployment processes simpler and more self-serve over time. Qualifications - 3+ years of hands-on DevOps, infrastructure, or site reliability experience, ideally at a small-to-medium sized startup/organization where you owned tasks end-to-end. - Real-world, production experience with AWS (EKS, S3, Route 53, MSK, RDS, VPC, IAM, CloudFront, or similar core services). - Proven experience with Kubernetes, including deploying, managing and scaling containerized applications. - Strong understanding of containerization technologies such as Docker. - Experience with Kustomize and managing helm charts for packing and deploying Kubernetes workloads. - Experience building infrastructure as a code using Terraform/Terragrunt. - Proficiency in scripting or programming languages such as Python, Go or Bash. - Comfort with source control (Git) and CI/CD tooling (GitHub Actions or equivalent). - Basic security fundamentals - experience patching vulnerabilities, responding to scan findings, or working within a compliance framework (e.g., ISO 27001, SOC 2). - Basic understanding of networking principles and a strong commitment to cybersecurity best practices. - Some exposure to IT/access administration (VPN, SSO/Okta, GitHub or cloud IAM permissions) and comfort supporting non-engineering stakeholders with access requests. - A self-starting, can-do attitude - comfortable owning a broad scope independently and communicating clearly with stakeholders across the company. Preferred Qualifications - Experience operating high availability, production clusters. - Experience with technologies such as GitOps (FluxCD, ArgoCD), OpenTofu, SQL Databases, secret management (Vault), cost-visibility tools (KubeCost, OpenCost), Karpenter, Couchbase. - Experience in the connected car, IoT, or cloud SaaS field. - Exposure to Elastic stack, Prometheus stack, and PagerDuty-style monitoring and incident response. - Experience managing multi-account AWS organizations (SCPs, OUs, cross-account IAM access). - Comfort using AI-assisted tools in day-to-day DevOps work (e.g., AI coding/IaC assistants for writing and reviewing infrastructure code, or AI-enhanced monitoring for anomaly detection and faster incident triage). Benefits - Work from home flexibility. - 4 weeks of vacation each year. - Generous annual allowance for professional education. - Stock options. - Cell Phone Plan Reimbursement. - Health & wellness annual spending allowance. - Great health benefits.