We are looking for a Senior Site Reliability Engineer (SRE) to join our Middleware Engineering team.

In this highly dynamic environment, you'll be responsible for supporting and scaling our Kafka and Elasticsearch infrastructure - core systems that power our SaaS platform.

We're looking for someone who thrives on automation, embraces AI-driven observability, and is eager to learn and adopt new technologies quickly.

You'll not only respond to production issues, but proactively build intelligent, resilient systems to prevent them.

If you enjoy owning systems end to end, writing clean automation, and working in a fast-moving team that values innovation, this role is for you.

Key Responsibilities :

- Triage, troubleshoot, and resolve complex production issues involving Kafka and Elasticsearch

- Design and build automated monitoring, alerting, and logging systems - leveraging AI/ML techniques where possible

- Write tools and infrastructure software to support self-healing, auto-scaling, and incident prevention

- Automate system administration tasks - from patching and upgrades to config and deployment workflows

- Use and manage GitHub extensively for infrastructure-as-code, release management, and collaboration

- Partner with development, QA, and performance teams to ensure middleware systems are production-ready

- Participate in the on-call rotation and continuously improve incident response and resolution playbooks

- Mentor junior engineers and contribute to a culture of automation, learning, and accountability

- Lead large-scale reliability and observability projects in collaboration with global teams

Qualifications :

- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

- Fluent English communication skills (spoken and written)

Core Competencies :

- 6+ years of experience in software development, automation, or infrastructure engineering

- Deep experience with MongoDB, Kafka and/or Elasticsearch in production environments

- Strong Linux systems expertise and 6+ years managing Linux-based environments

- Hands-on experience with cloud platforms - GCP and/or AWS required

- Proficient in scripting languages like Python, Bash, etc

- Automation-first mindset - deep experience with Ansible, Terraform, Jenkins

- Expert-level understanding of Git and GitHub workflows for CI/CD and infrastructure-as-code

- Proficient with container tools (Docker) and orchestrators (Kubernetes)

- Strong understanding of SRE principles - SLAs/SLOs, alerting, observability, and incident management

- Experience with SQL, caching systems (e.g., Redis), and troubleshooting distributed systems

- Quick learner with a strong curiosity for new tools, frameworks, and AI/ML use cases in operations

Nice to Have :

- Observability Tools : Datadog, Splunk, Kibana, Opsgenie

- Programming : Java/Spring, JavaScript/React

- Middleware : RabbitMQ, Tomcat

- Experience with AI/ML-based anomaly detection, AIOps platforms, and LLM integrations for infrastructure

- Azure cloud experience (nice to have)

Why Join Us Why Join Us :

- Shape the future of middleware reliability using AI and intelligent automation

- Work with a global team that values initiative, innovation, and ownership

- Grow in a fast-paced environment where learning and experimentation are part of the culture

- Drive technical leadership, mentor others, and make a meaningful platform-wide impact