Senior backend engineer (ai-assisted) about in all media in all media is a global technology and digital services company that partners with leading organizations to design, build, and scale complex software platforms. We work with distributed, high-performing engineering teams to deliver production-grade solutions across cloud, data, ai, and platform engineering, with a strong focus on reliability, scalability, and real-world impact. About the project our client is refocusing on the data center market, leveraging a strong background in energy systems and experience with large-scale enterprise customers to address power consumption management challenges. The team is building a power management platform designed to optimize energy consumption in data centers, ingest telemetry from diverse power devices, and automate operational workflows to improve efficiency and reduce strain on the electrical grid. Role overview we are seeking a senior backend engineer (ai-assisted) to design, build, and operate core backend services that power telemetry ingestion, data enrichment, event processing, apis, and agentic workflows. This is a senior individual contributor role requiring a minimum of 6 years of professional backend engineering experience, including at least 6 years of production-grade python (3.8+). The role has a strong emphasis on system design, operational excellence, and building reliable, scalable services for a production-grade power management platform. Key responsibilities design, build, and maintain core backend services for telemetry ingestion, data enrichment, event processing, and restful apis. Architect and implement microservices to support agentic and human-in-the-loop workflows, as well as automated operational tasks. Design and operate high-throughput streaming architectures using kafka for event-driven processing. Deploy, monitor, and optimize backend services running on kubernetes, ensuring production reliability and runtime stability. Collaborate with backend, platform, devops, qa, and frontend teams to define apis, data contracts, and integration points with power devices and external systems. Establish and uphold best practices for testing, ci/cd, code reviews, and github-based development workflows. Leverage ai-assisted development techniques to improve developer productivity and enable intelligent automation within backend systems. Troubleshoot, debug, and support high-availability services in production, participating in incident response and driving post-incident improvements. Required qualifications minimum 6 years of professional backend engineering experience with ownership of production services and system design. At least 6 years of hands‑on, production‑grade python experience using python 3.8 or newer. Proven experience designing and implementing microservices architectures using containerized services and service‑to‑service communication. Hands‑on experience with kafka for streaming and event processing, preferably kafka 2.x or 3.x. Solid operational experience with kubernetes, including deployments, observability, and runtime tuning on kubernetes 1.20 or newer. Strong experience building and consuming rest apis using http, json, and openapi specifications. Proficiency with github‑based development workflows, including feature branching, pull requests, and ci/cd pipelines. Experience building telemetry ingestion pipelines, data enrichment processes, and backend systems supporting agentic workflows. Demonstrated ability to debug, test, and maintain high‑availability backend services in production environments. Nice to have qualifications experience working with high‑volume telemetry systems processing millions of events per day. Exposure to knowledge graph technologies, including rdf, graph databases, or semantic and linked data patterns. Experience supporting human‑in‑the‑loop workflows and hybrid automated and manual operational processes. Familiarity with foundry or similar ai‑assisted development platforms or tooling. Experience with observability and monitoring tooling such as prometheus, grafana, opentelemetry, and distributed tracing solutions. Work modality remote‑first role with core working hours aligned to central time (ct, us). Candidates must be able to overlap with ct hours to collaborate effectively with distributed teams and client stakeholders. Why join in all media you will join in all media at a pivotal moment, contributing to a technically complex and high‑impact platform in the data center and energy optimization space. This role offers the opportunity to work on large-scale, production‑grade systems, apply ai‑assisted engineering practices, and help deliver solutions that improve energy efficiency and grid stability while solving challenging backend engineering problems at scale.#li #j-18808-ljbffr