Key skills
AWSDistributed SystemsGrafanaHadoopJavaKafkaKotlinKubernetesLinuxPrometheusPythonSparkTerraformGoBashData EngineeringCloudFormationGitOpsSaaSLeadershipProblem Solving
About this role
Role Overview
- Architect, design, and evolve complex distributed systems to improve reliability, operational efficiency, and performance at scale
- Partner closely with product, security, and data engineering teams to translate business needs into resilient and scalable system designs
- Drive reliability through automation and advanced observability
- Lead and mentor in high stakes situations
- Perform deep infrastructure cost audits
- Own and maintain key distributed data platforms
- Guide teams in defining SLIs/SLOs and operational best practices
- Continuously identify and eliminate bottlenecks
- Champion Infrastructure as Code (IaC) to automate provisioning, configuration, and lifecycle management
- Lead our GitOps and deployment strategy using Argo CD
Requirements
- 6+ years in SRE, systems engineering, or software engineering roles
- Proven track record as a senior reliability or production engineer
- Expert level proficiency in Kubernetes, AWS, Linux internals, and distributed system fundamentals
- Strong programming skills in Go, Python, Java, Kotlin, Bash, or similar languages
- Hands-on experience with modern observability stacks (Prometheus, Grafana, AlertManager, Loki, PagerDuty)
- Familiarity with large scale data and streaming ecosystems such as Kafka, Spark, Aerospike, FoundationDB, and the broader Hadoop ecosystem
- Deep experience with Terraform, CloudFormation, or related IaC tooling
- Proven incident management leadership in production SaaS systems
- Exceptional problem solving skills
Tech Stack
- AWS
- Distributed Systems
- Grafana
- Hadoop
- Java
- Kafka
- Kotlin
- Kubernetes
- Linux
- Prometheus
- Python
- Spark
- Terraform
- Go
Benefits
- Comprehensive benefits package
- Health and wellness programs
- Paid time off
- Retirement planning options