System Engineer (Infrastructure & Automation)

Location: Client office, HP Bangalore

We are looking for a skilled and proactive System Engineer with 4-10 years of experience to manage, secure, troubleshoot, and automate enterprise-scale infrastructure and application environments. This role combines hands-on production support with software engineering and automation, enabling you to directly improve the reliability, scalability, and self-healing capabilities of a global manufacturing platform.

You will support mission-critical systems running across worldwide production environments while building automation solutions that reduce manual intervention, improve incident detection, and drive operational excellence.

Key Responsibilities

Infrastructure Operations & Support (70-80%)

Configure, maintain, monitor, and troubleshoot Windows and Linux servers in production and development environments.

Take ownership of incidents escalated from global production environments or proactively detected through monitoring systems.

Perform live troubleshooting across servers, databases, virtualization platforms, Kubernetes clusters, networking infrastructure, and distributed applications.

Analyze server, application, and service logs to identify root causes, resolve issues, and optimize performance.

Manage virtualization environments including VMware, Hyper-V, Proxmox VE, and containerized workloads using Docker.

Deploy, configure, administer, and troubleshoot Apache Kafka messaging platforms.

Monitor infrastructure health, identify bottlenecks, and implement corrective actions to maintain high availability.

Configure and enforce secure communication protocols including SSL/TLS, SSH, VPN, and cybersecurity best practices.

Create and maintain operational documentation, troubleshooting guides, and reusable runbooks.

Automation, Development & Platform Engineering (2030%)

Develop and maintain automation scripts, deployment pipelines, monitoring solutions, and self-healing workflows.

Convert recurring manual tasks into automated remediation and operational processes.

Build and enhance internal tools that improve reliability, scalability, and operational efficiency.

Deploy and manage applications on Kubernetes using Helm charts and customized Helm values.

Work with Kafka streams, large-scale SQL databases, Grafana dashboards, and observability platforms.

Contribute to CI/CD pipelines, Infrastructure-as-Code initiatives, and deployment automation frameworks.

Collaborate with development, infrastructure, and operations teams to improve system resilience and service availability.

Develop solutions using C#, Python, PowerShell, Bash, Go, or other suitable technologies.

Technical Skills & Qualifications

Required

3–10 years of experience in System Administration, Support Engineering, Infrastructure Engineering, DevOps, Site Reliability Engineering (SRE), or related roles.

Strong hands-on experience with Windows Server and Linux administration.

Proficiency in PowerShell, Bash/Shell scripting, Python, or similar automation technologies.

Experience with Docker, virtualization platforms, and enterprise server environments.

Hands-on experience with Apache Kafka administration and troubleshooting.

Working knowledge of Kubernetes, Helm chart management, and container orchestration.

Experience troubleshooting production infrastructure, applications, databases, and networking issues.

Strong understanding of SQL and relational databases such as Microsoft SQL Server, PostgreSQL, or MySQL.

Programming experience in C#, Python, or comparable languages.

Knowledge of infrastructure monitoring, observability, and log analysis.

Understanding of cybersecurity principles, secure communication protocols, and server hardening practices.

Preferred

Experience with Azure or other cloud platforms.

Knowledge of Grafana, Prometheus, Redis, Ansible, and Infrastructure-as-Code practices.

Familiarity with CI/CD platforms and deployment automation.

Experience working in manufacturing, industrial, or large-scale production environments.

Contributions to open-source projects or personal automation initiatives.

Certifications in Linux, Microsoft, Kubernetes, Docker, Cloud, or Cybersecurity technologies.

Key Competencies

Strong analytical and problem-solving skills.

Excellent troubleshooting and debugging abilities.

Automation-first mindset with a focus on eliminating repetitive manual work.

Ability to work effectively in fast-paced production environments.

Strong communication and collaboration skills.

Attention to detail and security awareness.

Curiosity, continuous learning, and passion for technology.Role & responsibilities

Preferred candidate profile