Key skills
Continuous integration and delivery (CI/CD)Git-based source control and branching strategiesBuild and test automation JenkinsBuild and test automation GitHub ActionsArtifact and dependency managementProgressive deployment patternsTerraformGitOps workflow with ArgoCDGoogle Cloud Platform (GCP) infrastructureKubernetes operationsHelm chart authoring and maintenanceDatabases at scale PostgreSQLDatabases at scale CloudSQLDatabases at scale MongoDBDatabases at scale CassandraDatabases at scale RedisReliability monitoring SLIs/SLOsReliability monitoring alertingReliability monitoring incident responseCloud and infrastructure security IAMCloud and infrastructure security secrets managementCloud and infrastructure security network policyCustomer-first mindsetJavaNoSQLAICassandraKubernetesJenkinsGitHub ActionsServerlessHelmArgoCDIAMPostgreSQLMongoDBRedisGitGitHubGitOpsSource ControlLoad BalancingCI/CDCommunication
About this role
Jitsu is a company that provides innovative logistics solutions for same-day and next-day delivery. They are seeking a Senior DevOps/Platform Engineer to enhance their infrastructure and tools, ensuring continuous delivery and operational efficiency for their platform.
Responsibilities:
- Own key parts of the DevOps effort for a global engineering team and a platform supporting millions of transactions per day — and more than doubling annually
- Drive improvement across our development process and tooling: source control, build, test, packaging, release, and deployment
- Drive improvement in our infrastructure configuration, management, and cost efficiency
- Drive enhancement of monitoring and observability across all infrastructure and services, for both availability and performance
- Partner with other technical leaders to improve our architecture’s maintainability, scalability, and resilience
- Serve as a technical lead to software and DevOps engineers on development and operations practices
- Partner with other technical leaders to strengthen our information security posture
- Contribute to the team’s development and operations standards and processes
Requirements:
- Deep experience designing automated pipelines end to end — git-based source control and branching strategies, build and test automation (Jenkins, GitHub Actions, or similar), artifact and dependency management, and progressive, low-risk deployment patterns
- Strong, hands-on experience with Terraform (or similar) — reusable modules, state management, and managing multi-environment infrastructure (staging, beta, production) as code
- Experience operating a GitOps workflow with ArgoCD (or similar) as the source of truth for declarative, auditable deployments
- Strong experience building and operating cloud infrastructure at scale — compute, VPC networking, storage, message queues, serverless, DNS, load balancing, IAM, and logging
- Production experience running and operating Kubernetes at scale — cluster lifecycle and upgrades, workload scheduling and resource management, autoscaling (HPA/cluster/event-driven), networking and ingress, and diagnosing complex cluster issues
- Authoring, configuring, and maintaining Helm charts for templated, repeatable application deployments across environments
- Experience deploying, operating, and tuning a mix of data stores — relational (PostgreSQL / CloudSQL), NoSQL document (MongoDB), wide-column (Cassandra), and cache (Redis) — including replication, backups, scaling, and performance troubleshooting
- Demonstrated track record deploying and monitoring large-scale, mission-critical services — defining SLIs/SLOs, building actionable alerting, and driving incident response and blameless post-mortems
- Solid grounding in cloud and infrastructure security — IAM, secrets management, network policy, and supply-chain hygiene
- Great communication and documentation skills
- An obsession with automation and a desire to leave things better than you found them
- A customer-first mindset and strong attention to detail
- 5+ years as a DevOps or Site Reliability Engineer
- Java application release engineering
- AI-driven SRE & DevOps mindset — familiarity with AIOps (anomaly detection, intelligent alerting, predictive scaling, automated remediation) and comfort applying AI/LLMs to simplify how we operate infrastructure, pipelines, and Kubernetes
- Building AI agents and automation that reduce operational toil — incident triage, runbook automation, log/RCA summarization, and AI-assisted CI/CD that moves us faster and toward self-healing infrastructure
- A sense of humor