DevOps Engineer
Develop and maintain secure, scalable services while ensuring high performance and system reliability. Provide technical guidance to team members and collaborate across internal departments to resolve complex technical issues.
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Develop and maintain secure, scalable services while ensuring high performance and system reliability. Provide technical guidance to team members and collaborate across internal departments to resolve complex technical issues.
Develop and evolve digital products for startups and global brands using modern web and mobile technologies. Collaborate with cross-functional teams to turn client briefs into actionable technical execution plans while integrating AI tools into the workflow.
Evaluate and recommend emerging technologies and tools to facilitate business growth and efficiency. Collaborate with project management and solution architects to identify obstacles and develop effective technical solutions.
Develop and evolve digital products for startups and global brands using modern web technologies and AI-assisted workflows. Collaborate with cross-functional teams to turn client briefs into actionable technical specifications and high-quality code.
The Principal Engineer will own the end-to-end architecture and technical strategy for the platform, including real-time video commerce and AI-driven personalization. They will also lead engineering standards, mentor team members, and tackle high-impact technical challenges to ensure system scalability and reliability.
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You will build high-impact, operator-facing applications and data-intensive dashboards by integrating AI/ML backends with frontend interfaces. The role involves end-to-end ownership of features, from architecture and development to deployment in production environments.
The Growth Architect will design and optimize the end-to-end customer acquisition funnel while leading a distributed team of marketing specialists. They are responsible for managing paid media performance, establishing marketing workflows, and ensuring cross-functional alignment to drive revenue growth.
You will develop and maintain high-performance APIs and microservices using Go to support global payment infrastructure. You will also take end-to-end ownership of features while collaborating with cross-functional teams to solve complex payment challenges.
The AI Engineer will design, develop, and deploy end-to-end AI agent solutions within the Microsoft Azure ecosystem. Responsibilities include building RAG pipelines, managing data pipelines for unstructured data, and implementing CI/CD and responsible AI controls.
You will design, implement, and scale the platform's core backend systems and data pipelines while leading end-to-end development for critical features. Additionally, you will define architecture standards for security and identity management while collaborating with cross-functional teams.
You will spearhead the development of innovative AI-driven solutions and deploy scalable products leveraging LLMs to support the payment orchestration platform. Additionally, you will design and optimize prompts while collaborating with cross-functional teams to integrate AI features into existing payment workflows.
You will own features end-to-end, including scoping, backend and frontend development, and deployment. You will also participate in code reviews, technical discussions, and infrastructure management using AI-assisted workflows.
The GTM Engineer will design and operate the technical infrastructure for outbound sales, connecting data sources to create a scalable pipeline. This role involves building automated workflows, managing data enrichment, and enabling programmatic personalization to support the sales team.
Design, develop, and maintain applications and modules within the Ellucian Banner system while implementing integrations with other institutional systems. Lead technical projects, perform system upgrades, and provide advanced-level support for Banner-related incidents.
The Staff Data Analyst will partner with product and marketing teams to derive behavioral insights, design experiments, and build self-service dashboards. They will also act as a mentor to other analysts to improve code quality and analytical practices across the team.
You will own the quality assurance process for a digital board game platform by testing releases across web, mobile, and Discord. This involves validating bug reports, monitoring production, and proactively improving QA workflows.
Design and execute the AI automation roadmap while building and orchestrating AI agents and LLM workflows. Drive cross-functional adoption across product, marketing, and operations while mentoring a high-performing technical team.
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The Data Engineer Lead will co-develop batch and streaming pipelines while defining data contracts and quality rules. They are also responsible for mentoring domain engineers and guiding teams on data modeling and product ownership.
The role involves co-developing batch and streaming data pipelines on Databricks while defining data contracts and quality rules. Additionally, the engineer will mentor domain teams on data modeling and best practices to improve platform templates and tooling.
You will contribute to the development and maintenance of software systems within the engineering department. This involves collaborating with team members to build scalable solutions and improve existing product features.
The Data Engineer will be responsible for extracting, transforming, and automating data processes using Python. They will also design database tables, optimize complex SQL queries, and manage data consumption via REST APIs.
You will evolve an early-stage prototype into a functional, scalable consumer-facing mobile application. You will collaborate with senior stakeholders to translate high-level ideas into concrete technical solutions and architecture.
The Data Engineer Lead will design and implement scalable ETL processes while mentoring team members and guiding technical decisions. They will act as a liaison between the team and stakeholders to ensure project alignment and high-quality code delivery.
You will serve as the primary Ceph subject matter expert, responsible for the architecture, deployment, and lifecycle operations of large-scale storage environments. Additionally, you will act as a technical liaison to ensure customer success by resolving complex issues and driving product improvements.
The Platform Database Engineer is responsible for designing, deploying, and optimizing MongoDB environments within a large-scale cloud ecosystem. They will lead incident response, implement infrastructure-as-code solutions, and ensure high availability and security across data platforms.
The engineer will work closely with customers on onboarding, implementation, and optimization of AI solutions, while also building new features, MVPs, and scalable solutions using full-stack technologies.
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The role involves working on an intelligent matching project between doctors and pharmaceutical products, requiring technical evolution towards Generative AI and LLMs. Responsibilities include developing and maintaining data pipelines and applying classical Machine Learning techniques.
The role involves developing and integrating robust, scalable, and maintainable mobile solutions, working closely with web and backend teams to ensure consistent user experiences. Responsibilities also include designing user-focused interfaces emphasizing performance and quality, and normalizing multi-brand platforms to minimize duplicated efforts.
The role involves developing and integrating robust, scalable, and maintainable mobile solutions, working closely with web and backend teams to ensure consistent user experiences. Responsibilities also include designing user-focused interfaces emphasizing performance and quality, and normalizing multi-brand platforms to minimize duplicated efforts.
The role involves managing monthly and weekly reporting processes, synthesizing information, and analyzing reporting data to resolve internal and external issues. Responsibilities also include performing detailed analysis on projects, recommending business solutions, and identifying opportunities for process automation.
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