8 days ago
Bulgaria (city not specified)Mid Level
Responsibilities
- Operate, monitor, and improve production workloads on Microsoft Azure for availability, performance, and cost efficiency.
- Build and maintain infrastructure-as-code systems and CI/CD pipelines.
- Define and track SLIs, SLOs, and error budgets with product engineering teams.
- Manage and troubleshoot production Kubernetes clusters and containerized services, including deployments, scaling, upgrades, and resource tuning.
- Operate Cassandra and OpenSearch clusters, including capacity planning, performance tuning, backup and recovery, upgrades, replication, and consistency decisions.
- Automate repetitive operational work and build self-service workflows and tooling.
- Apply AI and machine learning capabilities to alerting, anomaly detection, triage, runbooks, and incident response.
- Build and tune monitoring, alerting, logging, and tracing systems.
- Participate in on-call rotations and lead incident investigation, resolution, root cause analysis, and remediation.
- Collaborate across engineering, architecture, security, cloud operations, support, and customer-facing teams.
Requirements
- At least 4 years of experience in site reliability, DevOps, or cloud operations supporting enterprise SaaS services at scale.
- Hands-on experience operating production workloads on Microsoft Azure, including compute, networking, identity, and managed services.
- Production experience operating Kubernetes, including deployments, scaling, upgrades, troubleshooting, and workload tuning.
- Experience with NoSQL data stores, ideally Apache Cassandra and OpenSearch, including performance tuning, capacity planning, and recovery.
- Proficiency in at least one of Python, Go, Bash, or PowerShell, with experience automating operational work.
- Experience with infrastructure as code such as Terraform, Bicep, or ARM, and with CI/CD pipelines.
- Experience building and using observability tooling for metrics, logs, traces, and alerting.
- Understanding of distributed systems, networking fundamentals, SLOs, capacity planning, and incident management.
- Experience using AI or automation to improve operations, including intelligent alerting, automated triage, or AI-assisted runbooks and tooling.
- Experience participating in on-call rotations and leading incident response and root cause analysis.
- Strong communication, collaboration, curiosity, and ability to influence teams without direct management authority.
- Preferred qualifications include Azure certifications such as AZ-104 or AZ-400, Azure Kubernetes Service experience, CKA or similar credentials, deep Cassandra or OpenSearch operations experience, Argo CD and Helm experience, AI-driven operational automation experience, observability-stack experience with Azure Monitor, Prometheus, or Grafana, and familiarity with SOC 2 controls, secrets management, and policy-as-code.
Benefits
- The role is part of Conga’s Cloud Operations team in a collaborative environment focused on individual and team development.
- The position includes participation in an on-call rotation and engagement with a large enterprise customer base.
- Conga is an equal opportunity employer and provides reasonable accommodations during the interview process.
Tech Stack
Categories
DevOpsSite Reliability
About Conga
Conga builds enterprise SaaS for revenue lifecycle management, including CPQ, contract lifecycle management, billing, eSignature, and document generation with deep Salesforce integration. It sells subscriptions to businesses with complex commercial operations, helping unify quoting, contracting, and fulfillment. Founded in 2006 and headquartered in Houston, the privately held company reports more than 10,000 customers worldwide, including over half of the Fortune 100.