Remote Devops Jobs • Python

Assume a pivotal role in supporting our federal government client, transforming our clients' infrastructure to be more efficient, secure, and aligned with business objectives. This position places significant emphasis on the implementation of everything-as-code and DevSecOps best practices and cloud security. Collaborate with key stakeholders and leading secure cloud projects that align with client objectives and regulations.

The ideal candidate is an experienced, proactive engineer with a passion for building data-centric systems and automating cloud infrastructure. This role serves as a bridge between development and operations teams, ensuring the delivery of reliable and efficient services.

Design and programme modules and components as part of a system that supports over 24 million queries per second with low latency. You will manage project teams, ensure reliability and scalability, and analyze new technologies for production. This role involves defining requirements, leading design implementation, and proactively addressing technical challenges, making it an excellent opportunity for a senior developer.

We are seeking a Platform Engineer with 3+ years of experience to maintain high reliability while scaling our infrastructure. You will tackle high-impact projects, design robust infrastructure systems, and optimize infrastructure costs. Mentoring other engineers and contributing to hiring efforts are also part of the role.

Support existing infrastructure and develop new infrastructure (Azure, AWS, VMWare, Bare metal). Support existing and develop new CI/CD procedures (Jenkins/Groovy). Support and updating(developing) monitoring/alerting system (Prometheus, Grafana, Zabbix, InfluxDB). Support and development log collecting/analyzing system(ELK Stack). Support all database servers(backup/restore/cope etc) (MSSQL/PostgreSQL). Support Dev/BA/QA teams.

Drive the design of our next-generation AI infrastructure. In this high-impact, hands-on role, you will make end-to-end architectural decisions across compute, networking, and storage — ensuring our platforms can meet the massive scale, performance, and reliability requirements of modern AI workloads. This is a high-impact architecture role where you’ll define how tens of thousands of GPUs are interconnected optimized across multiple data center sites.

As the sole Senior DevOps Engineer, you will own the design, deployment, and optimization of our AWS cloud infrastructure using Terraform. You’ll collaborate with product and engineering teams to build scalable, secure, and cost-efficient systems while establishing best practices for automation, monitoring, security, and governance.

Join a small team using cutting edge technology and tools to build and support infrastructure for our diverse environment including customer facing applications, large scale data processing, and APIs. Automate and standardize deployments and maintenance across multiple infrastructure environments. Maintain Infrastructure as Code automation and expand the coverage of IAC throughout our systems.

This is a long-term contract position for a Senior Machine Learning Ops Engineer to join the Algorithms and Research team. You will productize advanced technologies like Generative AI and revolutionize search and recommendation technologies at scale, innovating at the intersection of machine learning, knowledge graphs, and retrieval-augmented generation (RAG).

Improve Scalable's cloud infrastructure and automation using tools such as AWS, Terraform, and languages like Python or Go. Design, maintain, and operate multiple cloud networks on AWS, providing a secure and highly available infrastructure. you will maintain financial middleware systems, ensuring high-availability connectivity for our most critical applications and partner integrations. Strengthen our DevOps culture.