This team is passionate about handling large volumes of data, and the engineering challenges in building the distributed systems responsible for automated data ingestion and transformation. They look for dedicated engineers with real technical depth and a desire to understand the end business. If you've designed sophisticated scalable systems, or worked with great teams on hard problems in financial data, or are just interested in tackling complicated technical, critically important problems, join us!
Design cross-cutting solutions by transforming siloed, country-specific, and product-specific implementations into global systems. Orchestrate data transformation, consolidate fragmented data structures into unified schemas supporting multiple products and markets. Collaborate with cross-functional teams to methodically refactor legacy systems and establish global and multi-product development practices.
Lead the design and implementation of secure, reliable infrastructure platforms—across compute, networking, identity, and policy enforcement. You’ll own and evolve the security posture of our Kubernetes platform, focusing on isolation, observability, and resilience. You’ll build and operate systems for managing secrets, service-to-service auth, and access control. Define and codify best practices in infrastructure security, infrastructure-as-code, and software integrity.
This Software Engineer will help drive development into the next growth phase and will own the implementation, scalability and stability of the product. Collaborates with Product Management and other Engineers to design, build and deliver firewall management solutions which make complex firewall security operations simple. Evaluates modern technologies and approaches to streamline or improve our rapid application development tooling and conventions.
Seeking an experienced AI Solutions Architect to design, develop, and implement innovative AI-powered solutions that solve complex business problems. The candidate will have deep technical expertise in machine learning, cloud architecture, and software engineering, along with strong communication and problem-solving skills to drive strategic AI initiatives.
Looking for a developer who has hands on experience with Databricks/Pyspark, Java, Webservices. The developer will understand the full picture and helps operations with monitoring, dashboards etc., work with architect on design. This position is long term. The developer will constantly keeps an eye on cost and performance of the system and work with BA on the integration requirements.
As an integral part of the program, the Senior Machine Learning Engineer leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, analyzes and communicates the benefits and risks in implementing solutions using the new technologies, and leads teams to support the adoption of new technologies across the enterprise. The Senior Machine Learning Engineer will also provide technical leadership by supervising and mentoring junior IT specialists.
Evaluate and utilize appropriate generative models to develop Gen AI applications, such as conversational assistants, text generation, and summarization. Develop and maintain high-performance web applications using a modern JavaScript stack and Python to integrate with AI products. Provide technical leadership and mentorship to AI Developers, fostering a collaborative team environment.
Octopus Energy Engineering is responsible for the sites, services, and tariffs that are used by the millions of Octopus Energy customers worldwide. You’ll find a wide variety of challenges in the work we do as we help push the energy revolution forward. We embrace flat hierarchies and an open, agile culture that fosters innovation, flexibility, and creativity.
This position is needed to manage the team of machine learning engineers of the Growth & User Intelligence team and closely partner with Product & Engineering teams to execute the roadmap for Twilio’s AI/ML products and services. You will understand customers' needs, build ML and Data Science products that work at a global scale and own end-to-end execution of large scale ML solutions.