Senior Software Engineer – IoT Platform & Observability

RC Talent; United States; In loco; USD 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Medical, dental, and vision coverage

401(k) plan

life insurance

catered lunches

paid time off

company-sponsored benefits

etc.

Descrizione del lavoro

RC Talent is seeking a Senior Software Engineer to own and evolve critical software across a large-scale industrial IoT platform in the United States. You’ll work on applications running in a connected-device environment and the tooling that supports deployment, monitoring, maintenance, and evolution.

You will collaborate with Cloud, Embedded, Hardware, ML, and other teams, tackle challenges across Linux, messaging, and real-world operations, and use AI-assisted development tools to accelerate

Competenze

• Professional software-engineering experience building and supporting production applications.
• Strong professional development experience with Python.
• Strong experience developing and supporting applications in Linux environments.
• Experience with real-time, near-real-time, IoT, connected-device, or distributed software systems.
• Strong debugging, troubleshooting, and application-performance skills.
• Experience with messaging and asynchronous technologies such as MQTT, RabbitMQ, ZeroMQ, or similar.
• Experience with application monitoring, observability, logging, metrics, and production diagnostics.
• Comfortable working within established codebases and determining when to improve, refactor, or replace existing functionality.
• Experience with modern source control, development, testing, and deployment practices.
• Ability to work independently while collaborating effectively across a multidisciplinary engineering organization.
• Familiarity with AWS and cloud-connected applications is preferred.
• Experience with SaltStack, Ansible, Puppet, Chef, or similar configuration-management technologies is preferred.
• Experience with cellular-connected devices, remote fleet management, embedded environments, or international IoT deployments is helpful.
• Familiarity with Docker, relational or time-series databases, and Infrastructure as Code is helpful.
• Experience incorporating AI-assisted development into day-to-day engineering workflows.

Mansioni

• Develop, maintain, and modernize Python applications supporting a large fleet of connected IoT devices.
• Evaluate existing software for performance, maintainability, unnecessary complexity, and opportunities for modernization.
• Benchmark critical application workflows and improve performance and reliability where needed.
• Build support for new device types and evolving platform capabilities.
• Improve deployment, monitoring, diagnostics, and maintenance tooling across remotely deployed systems.
• Define meaningful application and device metrics and strengthen platform observability.
• Support Linux-based systems, including operating-system and application upgrades across the deployed fleet.
• Diagnose production issues spanning software, devices, messaging, cellular connectivity, and infrastructure.
• Develop and support REST APIs, messaging workflows, and near-real-time application behavior.
• Partner with Cloud, Embedded, Hardware, ML, and other engineering teams to improve end-to-end system performance.
• Use AI-assisted development tools to accelerate coding, analysis, testing, documentation, and troubleshooting.

Conoscenze

Python

Linux environments

IoT systems

Distributed systems

Debugging

Observability

AI-assisted development

Independent work

Strumenti

Docker

AWS

SaltStack

Ansible

Puppet

Chef

MQTT

RabbitMQ

ZeroMQ

Grafana

Time-series databases

Descrizione del lavoro

RC Talent is seeking a Senior Software Engineer to own and evolve critical software across a large-scale industrial IoT platform in the United States. You’ll work on applications running in a connected-device environment and the tooling that supports deployment, monitoring, maintenance, and evolution.

You will collaborate with Cloud, Embedded, Hardware, ML, and other teams, tackle challenges across Linux, messaging, and real-world operations, and use AI-assisted development tools to accelerate