As a DevOps Engineer, you will be at the forefront of shaping and executing Silicon Labs DevOps Platform used for software delivery strategy. You will apply DevOps principles to enhance Platform Engineering, develop CI/CD patterns, and optimize embedded software build and release processes. In this role, you will work closely with cross-functional teams to ensure productive, high-quality software delivery for both internal and external stakeholders.

This hands-on position provides significant autonomy, making it ideal for someone with a proactive mindset, ready to drive innovation and continuous improvement in DevOps workflows. In addition, this role will drive the future direction of software delivery across a global team.

Responsibilities

-Drive stability of infrastructure and processes by enhancing and adding tools using Platform Engineering.

-Eliminate waste, reduce cycle times and improve utilization of systems and processes via performance tuning, and (re)architecture.

-Create and maintain effective documentation and written communications

-Increase productivity of the team through identifying opportunities to automate and eliminate waste in new and existing processes.

-Provide advanced troubleshooting expertise across domains: networking, system configuration, API performance, etc.





-Participate in on call / follow the sun rotations with Infrastructure and Software Development Engineers

Skills You Will Need

Minimum Qualifications:

-6+ years in DevOps Platform Engineering, Software Development, DevOps Cloud or related field.

-Proficiency with container, orchestration, cloud native automation technologies (Kubernetes, Nomad, Consul, Vault).

-Proficiency in Observability tools (Prometheus, Grafana, Datadog, Splunk). Grafanas LGTM stack preferred.

-Experience with a cloud computing platform and Infrastructure as code (AWS, Google Cloud, Azure, Terraform, Cloud Formation). AWS, Terraform preferred.

-Proficiency in major programming languages (Go, Python, JavaScript). Python preferred.

-Proficiency in Linux and Windows System Administration and Shell Scripting. ----Expertise in Source Control systems and source management processes.

-Experience Orchestrating workloads on GPU s and GPU resources to run various AI and ML tasks are preferred The following qualifications will be considered a plus:

-Working on Gen AI tools and services

-Network Administration and troubleshooting

-Windows System Administration

-Working on Internal Development Platform like Backstage, Port. Backstage preferred.

📌 Lead Engineer-DevOps/Software Development/Cloud (Secunderabad)
🏢 Silicon Labs Pvt.Ltd
📍 Secunderabad