Technical Support Engineer/SRE

Boldtek; India; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work model

Growth opportunities

Job summary

Boldtek is seeking a skilled System Engineer to manage, secure, troubleshoot, and automate enterprise-scale infrastructure and application environments across global production environments.

You will build automation, support mission-critical systems, and contribute to CI/CD, IaC, and self-healing workflows using C#, Python, PowerShell, Bash, or Go, in a hybrid work model.

Qualifications

• 4–10 years of experience in System Administration, DevOps, or SRE roles.
• Strong Windows Server and Linux administration experience.
• Proficiency in PowerShell, Bash, Python, or similar scripting languages.
• Hands-on with Docker, virtualization, and enterprise server environments.
• Experience with Kafka, SQL databases, and monitoring/observability.

Responsibilities

• Configure, monitor, and troubleshoot Windows and Linux servers in production and development environments.
• Take ownership of incidents and respond to escalations across global production environments.
• Develop automation scripts, pipelines, and self-healing workflows to reduce manual tasks.
• Collaborate with development and operations teams to improve resilience and availability.

Skills

System administration

Automation

SRE / DevOps mindset

Scripting & coding

Tools

Docker

Kubernetes

Apache Kafka

VMware/Hyper-V/Proxmox

Job description

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.
• Analyzeserver, application, and service logs toidentifyroot causes, resolve issues, andoptimizeperformance.
• Manage virtualization environments including VMware, Hyper-V,ProxmoxVE, and containerized workloads using Docker.
• Deploy, configure, administer, and troubleshoot Apache Kafka messaging platforms.
• Monitor infrastructure health,identifybottlenecks, and implement corrective actions tomaintainhigh availability.
• Configure and enforce secure communication protocols including SSL/TLS, SSH, VPN, and cybersecurity best practices.
• Create andmaintainoperational documentation, troubleshooting guides, and reusable runbooks.
• Develop andmaintainautomation 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.
• Proficiencyin 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.
• Strong analytical and problem-solving skills.
• Excellent troubleshooting and debugging abilities.
• Automation-first mindset with a focus oneliminatingrepetitive manual work.
• Ability to work effectively in fast-paced production environments.
• Strong communicationand collaboration skills.
• Attention to detail and security awareness.
• Curiosity, continuous learning, and passion for technology.

What You’ll Gain

• Opportunity to work on large-scale global infrastructure supporting critical manufacturing operations.
• Exposure to modern technologies across cloud, containers, automation, observability, and distributed systems.
• Ability to directly influence operational efficiency through automation and self-healing solutions.
• Collaborative environment with experienced engineers andstrong growthopportunities.
• Hybrid work model and exposure to enterprise-scale production systems.