Sr Software Engineer

What you will be doing:

• Kubernetes Engineering & Automation
  
  You don't just write Helm charts or YAML manifests; you extend the Kubernetes API.
  
  - Custom Operators: Proven ability to write Kubernetes Operators (using Kubebuilder or Operator SDK) to manage complex, stateful application lifecycles.
  - Control Plane Logic: Deep understanding of reconciliation loops, custom resource definitions (CRDs), and how to automate operational knowledge into code.
  
  
• Scalable Microservices & Distributed Systems
  
  You build for high concurrency, low latency, and eventual consistency.
  
  - High-Scale SaaS: 6+ years of experience building and operating production-grade SaaS products. You have first-hand experience with the "death by a thousand cuts" that comes with scaling to millions of requests.
  - Systems Programming: Advanced proficiency in Go or JVM-based languages, with a focus on writing memory-efficient and thread-safe code.
  
  
• Deep-Tier Cloud Storage & Persistence
  
  You understand the physics of data.
  
  - Storage Internals: We need more than S3 API knowledge. You should understand the performance characteristics, limitations, and cost-drivers of S3, NFS, and enterprise storage like NetApp OnTap or AWS FSx.
  - Data Locality: Experience managing data persistence across hybrid environments (Public Cloud vs. Private DC).
  
  
• Operational Maturity (The "SRE" DNA)
  
  You believe that "if it isn't monitored, it doesn't exist."
  
  - Instrumentation: Expert-level experience with OpenTelemetry. You don't just look at metrics; you design the telemetry that allows for deep-dive distributed tracing and root-cause analysis.
  - Observability Infrastructure: Hands-on experience scaling Prometheus and Grafana to handle high-cardinality data.
  
  

More about you:

• BS degree in Computer Science, related technical field, or equivalent practical experience as a professional Platform Engineer.
• 6-9 years of programming experience in Golang or Java
• Proven experience in building and operating a SaaS product at scale.
• Proven cloud experience using observability and operating workloads in Kubernetes.
• Experience with cloud storage S3, NFS, NetApp OnTap, AWS FSX
• Distributed Systems and programming techniques.
• Monitoring and metrics infrastructure (OTEL, Prometheus, Grafana).
• Cloud (AWS / GCP/ Azure / Private DC).
• Bonus: Experience with AI/ML, Natural Language

Technologies you'll work with:

• Programming languages: GoLang, Java11, Kotlin, Python
• Storage & Persistence: S3, NFS
• Container and Orchestration: Kubernetes/Containers (Docker)/Rancher RKE
• Cloud providers: AWS, GCP, Azure, Private Data Centers
• Observability/Telemetry: OpenTelemetry, Prometheus, Grafana
• Deployment: Jenkins, ArgoCD

What we offer:

• A rewarding, progressive career with a company that values diversity, flexibility and understands the need for a good work/life balance.
• Market-leading salaries combined with generous bonuses, and a range of comprehensive benefits.
• Regular agile meetups, events, and hackathons (both attending and hosting!)
• Flexible working, catered lunches, a fully stocked kitchen, and plenty of parties and events.
• A range of sports, health, and wellbeing initiatives.
• 3 days of paid leave every year to help support the charity or cause of your choice.
• Huge problems to tackle -you will constantly be learning and pushing boundaries, working with some of the smartest people around!