Remote Devops Jobs · Python

The SRE II will collaborate with engineering, product, and operations teams to embed reliability practices into day-to-day development and operations while contributing to tools and processes that improve efficiency and reduce manual effort. This role focuses on building automation, maintaining observability, and supporting incident response to keep customer-facing systems performing at their best and help ensure the stability, scalability, and reliability of our services and infrastructure.

Partner with data scientists to transform their models into production-ready systems as a ML Ops Engineer. You will architect storage and compute, harden training/inference pipelines, and make ML code, data workflows, and services reliable, reproducible, observable, and cost-efficient. You'll also set best practices and help scale our platform as Nift grows.

Aechelon Technology is seeking an IT Automation & Integration Developer to join our Information Technology team. In this role, you’ll help automate and integrate key business systems, focusing on NetSuite customization, Python and PowerShell scripting, and the development of internal tools that make our operations more efficient. You’ll work closely with Finance, Operations, and Software Engineering to enhance system interoperability and streamline IT workflows.

You would be working in our pre-training team focused on building out our distributed training and inference of Large Language Models (LLMs). This is a hands-on role that focuses on software development best practices, maintenance, and code architecture. You will have access to thousands of GPUs to verify changes.

You'll help build the internal developer ecosystem powering Grow’s next-generation mental healthcare platform. You’ll join a mission-driven team where engineering decisions have broad organizational impact and directly support Grow’s goal of making affordable mental health care more accessible across the U.S. As a platform engineer, you’ll tackle complex challenges spanning AWS cloud infrastructure, Kubernetes (EKS) operations, CI/CD pipelines, and the tooling, automations, and workflows that drive Grow’s engineering velocity.

Empower people to achieve more with less friction. The platform simplifies complexity and the same principle drives how their systems are built and operated. Looking for a Staff Site Reliability Engineer who thrives at the intersection of infrastructure, automation, and AI-first thinking to design infrastructure that scales effortlessly, adapts intelligently, and makes everyone’s job easier.

We are looking for a Senior AWS Lex Developer with strong expertise in building and managing skill bots and delivering high-quality conversational AI solutions on AWS. The ideal candidate will play a key role in requirement gathering, bot design, and end-to-end implementation across multiple customer touchpoints. The role involves close collaboration with business stakeholders, solution architects, and development teams to transform business use cases into intelligent conversational experiences.

Drive the design, development, and deployment of cutting-edge software solutions in a dynamic, distributed environment. Lead the creation and management of automated CI/CD pipelines, ensuring efficient software development, testing, and deployment processes. Work closely with cross-functional teams, provide technical leadership, and maintain system reliability and security standards. Requires expertise in software configuration management, containerized environments, cloud deployment, and automated testing.

This role offers the opportunity to combine software engineering expertise with site reliability principles to build highly resilient, scalable, and secure systems. You will play a central role in shaping the infrastructure that powers critical AI-driven applications, ensuring optimal performance, availability, and reliability. The position involves driving automation, leveraging AI for proactive monitoring, and managing cloud-native microservices platforms at scale.

Support Data Engineers and Software developers with automatization and simplification for the users in a hybrid role. Vision for this role should be to “Simplify the user experience”. Tasks include stream deployment and architecture, automating workflows, implementing CI/CD routines, and supporting the development of Client Libraries to integrate streams.