Senior Software Engineer
Concero
!!ONSITE 5 DAYS A WEEK IN ADDISON TEXAS!!
Job Description Role Summary We are seeking a highly capable Senior Full Stack Python Engineer with strong experience building end-to-end distributed software systems from the ground up. This is not a scripting, DevOps, or task execution role. We are looking for a software engineer who can design and build complete application systems — spanning backend services, APIs, distributed processing workflows, and supporting frontend integration layers — with strong emphasis on Python-based backend engineering. The ideal candidate naturally thinks in terms of: system design and architecture distributed application behavior service decomposition and APIs data and workflow flow across systems scalability and resiliency patterns production reliability and observability This role requires engineers who can translate business requirements directly into working, production-grade software systems , not isolated scripts or automation tools. The environment is Azure-hosted, container-first, and supports operationally critical enterprise workloads including large-scale processing and distributed workflows. What You’ll Own Full Stack System Development (Core Responsibility) Design and build full-stack applications with Python-based backend services and supporting UI/integration layers Develop RESTful APIs and backend services that support web and internal applications Build modular, maintainable, and production-ready software systems Translate business workflows into complete software solutions across backend + integration layers Design and implement scalable Python backend services and distributed processing systems Build microservices-based architectures supporting enterprise workflows Develop event-driven and asynchronous processing systems using queues, workers, and orchestration layers Ensure systems are designed for: resiliency scalability fault isolation operational stability maintainability Build systems capable of processing large files and long-running workloads reliably Implement: streaming / chunk-based processing retry and recovery logic checkpointing and resumable workflows failure isolation and automatic recovery Engineer systems that remain stable under: network instability container restarts distributed workload interruptions Design and deploy containerized Python applications using Docker Build and deploy applications on: horizontal scaling fault-tolerant runtime behavior observability and monitoring integration Workflow Automation & Distributed Processing Build distributed workflows using Apache Airflow or equivalent orchestration tools Design queue-based and worker-based processing systems Ensure workflows are: observable scalable production-safe CI/CD, Observability & Operational Engineering Build and maintain CI/CD pipelines for full-stack applications and services Implement production-grade logging, monitoring, and alerting systems Ensure systems are fully observable and diagnosable in production environments Required Experience & Skills 8–12+ years of professional software engineering experienceHello Wallstar? #J-18808-Ljbffr ConceroVacancy posted 1 day ago
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