Software Engineer (Infrastructure Automation & Telemetry)

Insight Global
Conshohocken, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Conshohocken, United States of America

Tech stack

Java
.NET
Amazon Web Services (AWS)
Azure
Cloud Computing
Computer Programming
Data Visualization
DevOps
Github
Python
Log Analysis
Release Management
Reliability Engineering
Ansible
Kusto Query Language
Software Engineering
SQL Databases
Data Streaming
Data Logging
Reliability of Systems
Event Driven Architecture
Build Management
Containerization
Kubernetes
Infrastructure Automation Frameworks
Terraform

Job description

We are looking for a Software Engineer with a strong DevOps mindset, specializing in infrastructure automation and telemetry/observability. This role will support the design, deployment, and monitoring of scalable systems with a focus on automation, reliability, and visibility.

Responsibilities

  • Design and build infrastructure automation solutions using Infrastructure-as-Code principles

  • Develop and maintain CI/CD pipelines for application and infrastructure deployment

  • Implement telemetry, monitoring, and observability frameworks (logging, metrics, tracing)

  • Build dashboards and visualization tools to provide insight into system health and performance

  • Support deployment, release management, and audit readiness processes

  • Collaborate with engineering teams to improve system reliability and scalability

  • Contribute to automation-first engineering practices across environments

Requirements

  • 8+ years of experience in DevOps and software engineering in the services in the cloud

  • Experience with monitoring/telemetry tools (Kusto Clusters and Log Analytics, SQL Databases)

  • Create dashboards, automations, event handling

  • Expertise in infrastructure automation (Terraform, Github, Azure, Ansible, etc.)

  • Experience building and maintaining CI/CD pipelines working with R

  • Hands-on experience with cloud platforms (AWS, Azure, or GCP)

  • Programming experience (Python, .NET, Java, or similar)

Knowledge of containerization and orchestration (Kubernetes) * Infrastructure as Code

  • Background in SRE (Site Reliability Engineering) practices

Experience with event-driven architectures or streaming platforms

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