8 open jobs on The Stack list Infrastructure as a key skill. They come from 8 companies in 6 countries, and 8 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Infrastructure in its key skills. We do not guess skills from the job title.
What you'll do: Lead and grow a team of engineers to own the strategy and roadmap for CI/CD, build, and release systems. Partner with cross-functional teams to improve release speed, safety, and reliability across all product surfaces.
What they ask for: Requires 5+ years of software, DevOps, or release engineering experience and 2+ years of management experience. Candidates must have hands-on expertise in CI/CD tooling, cloud platforms, and modern release practices.
What you'll do: Collaborate with an engineering team to build features and improve architecture for the Databricks platform; own the full software development lifecycle from design to production; develop scalable, reliable, and secure solutions.
What they ask for: You will graduate between fall 2026 and summer 2027 with a CS/Engineering degree and have proficiency in Python, Java, or C++; solid knowledge of algorithms, data structures, and OOP; plus experience managing end-to-end projects.
What you'll do: You will transform research models and prototypes into robust, production-ready software products for customers. You will also define the architectural foundations, deployment infrastructure, and development practices for the engineering…
What they ask for: You should be a versatile software engineer with experience building projects from scratch and taking them through the full lifecycle to deployment. Proficiency in Python, JAX, and C++, along with experience in numerical computing and…
What you'll do: The Principal Product Manager will spearhead the product strategy for AI and GPU-centric infrastructure, driving growth through market insights and cross-functional collaboration. They will define the long-term product roadmap, monitor…
What they ask for: Candidates must have 7+ years of product management experience with hands-on expertise in AI, GPU, or HPC infrastructure. A bachelor or master's degree in computer science, engineering, or business is required, along with strong commercial…
What you'll do: You will architect high-load B2B systems and optimize cross-border logistics using machine learning and AI agents. You will drive business impact by developing innovative, scalable solutions that improve user experience and operational…
What they ask for: You must have a proven track record of building complex, reliable systems with deep full-stack expertise. You should be proficient in leveraging modern AI tools to accelerate development and possess a data-driven approach to…
What you'll do: You will define the product vision and roadmap for the internal Communications Platform while directly managing the In-App Communications area. You will also lead a cross-functional team and collaborate with engineering to optimize…
What they ask for: Candidates must have at least 1-2 years of experience in a Product Lead role with a strong background in platform products and people management. Excellent stakeholder management skills and the ability to engage in technical discussions…
What you'll do: You will define and evolve model development and release processes while ensuring that new architectures and features meet quality, safety, and performance standards. Additionally, you will identify delivery bottlenecks and collaborate…
What they ask for: The ideal candidate has significant experience in software integration, release management, and ML infrastructure. You must be proficient in ML tooling such as PyTorch and CI/CD systems, with a strong ability to challenge technical…
What you'll do: You will own the architecture, development, and long-term evolution of developer platforms and AI-powered tooling. You will lead multi-quarter technical projects while mentoring engineers and defining the technical roadmap for developer…
What they ask for: Candidates must have 7+ years of professional software engineering experience, including 2-3 years at a Senior or Staff level. Strong hands-on experience with developer platforms, CI/CD systems, and AI-powered tools is required.
