Python Developer – API Integrations & Automation
Develop Python scripts and applications to build data integrations and automation workflows. Maintain API-based solutions for platforms like Google, Meta, and TikTok while optimizing data pipelines.
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Develop Python scripts and applications to build data integrations and automation workflows. Maintain API-based solutions for platforms like Google, Meta, and TikTok while optimizing data pipelines.
The role involves collecting, cleaning, and validating data from various sources to generate reports and dashboards. Additionally, the candidate will support automation workflows and AI-powered data processes using APIs from platforms like Google, Meta, and TikTok.
Design, develop, and maintain secure and scalable system integrations and APIs using the MuleSoft Anypoint Platform. Collaborate with stakeholders to translate business requirements into technical specifications while leveraging AI-assisted tools for productivity.
Design and support AWS-based infrastructure and delivery pipelines for cloud-native digital products. Collaborate with application teams to automate environments and ensure alignment with enterprise security and operational standards.
Lead the technical stack as a founding engineer, managing everything from cloud infrastructure and data pipelines to core product features. You will own the end-to-end technical delivery and contribute to the product and cultural direction of the company.
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Oversee technology infrastructure and lead IT teams to align systems with business goals and project deliverables. Manage the DevOps deployment pipeline and ensure compliance with security standards and project policies.
The role involves gathering and translating business needs into functional requirements and user stories for Salesforce Health Cloud. It also requires collaborating with architects on solution design and supporting data migration and validation activities.
Design and implement integrated technical solutions focusing on hardware/software co-design for autonomy, orchestration, and cyber-resilient systems. Lead cross-functional teams to translate operational concepts into technical specifications and manage the full system development lifecycle.
Lead the functional design, configuration, and delivery of Guidewire InsuranceSuite implementations. Collaborate with clients and technical teams to translate business requirements into scalable functional specifications.
Build and evolve MCP servers and agent tool surfaces for AI clients to query the context graph. Design and harden the public API layer while shipping frontend features and integrating new data sources.
Implement and maintain AI benchmarking infrastructure using the Inspect library to evaluate frontier AI models. Collaborate with researchers and analysts to develop new benchmarks and integrate evaluation data into research products.
Support the development of AI and Machine Learning solutions, including building prototypes using Generative AI and LLMs. Responsibilities include data analysis, creating AI workflows, and collaborating with engineering and business teams.
Design and maintain scalable ETL/ELT pipelines to extract and load data from sources like Oracle. Create and optimize data models in Snowflake and Redshift to support AI/ML solutions and business objectives.
Architect and implement scalable frontend components and libraries using modern frameworks to ensure high performance and responsiveness. Collaborate with backend, design, and product teams to translate requirements into functional, visually appealing user interfaces.
The consultant will translate business requirements into functional specifications for Oracle Finance modules and collaborate with technical teams on integrations and data conversions. They are responsible for analyzing end-to-end finance processes and providing post-go-live support.
The MLOps Engineer will design, build, and maintain scalable machine learning pipelines and cloud-based environments. They will collaborate with cross-functional teams to deploy, monitor, and govern enterprise ML solutions to drive business impact.
Design, deploy, and operate production Kubernetes clusters across cloud and on-premises environments to support critical health data systems. Implement GitOps-driven delivery, observability frameworks, and SRE practices to ensure high reliability and scalability.
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Design, develop, and implement Oracle JD Edwards EnterpriseOne solutions specifically for the Finance module. This includes customizing functionality, developing custom reports, and providing technical support to ensure high system performance.
Design, develop, and deploy bots using Automation Anywhere A360 and Excel VBA macros. Collaborate with stakeholders to identify automation opportunities and maintain documentation such as PDDs and SDDs.
The analyst will extract data from various sources to build clear reports and dashboards for executives. Additionally, they will automate routine tasks and collaborate with the team to resolve technical issues.
Administer and optimize Salesforce environments for government, nonprofit, and small business clients. This includes managing user permissions, automating workflows via Flow, and providing end-user support and training.
The architect will implement supply chain best practices using Kinaxis Rapid Response to set up customer environments. Responsibilities include configuring workbooks, reports, and scripts while managing data integration from legacy systems.
Develop and implement data science and machine learning models to enhance educational platforms and personalized learning experiences. Create data visualizations and optimize ETL processes to provide actionable insights for educational stakeholders.
Develop and manage revenue operations using Salesforce Revenue Cloud Advanced and Agentforce. Handle the end-to-end Quote-to-Cash process, including pricing, discounting, and subscription management.
Collaborate with cross-functional teams to design, develop, and maintain AI-driven software products and APIs for the utility sector. Take ownership of both front-end and back-end components within a microservice architecture to ensure performant and responsive web solutions.
Assess and optimize AWS/Azure environments focusing on security, networking, and cost-effectiveness. Provide high-level technical support, mentor junior staff, and manage cloud infrastructure projects and documentation.
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Collaborate with leadership and stakeholders to design and implement secure, scalable cloud software products. Mentor junior engineers and translate complex business problems into technical solutions and manageable user stories.
Design, implement, and maintain scalable AWS infrastructure and applications. Automate deployment processes and collaborate with development teams to ensure smooth feature releases.
Customize and configure ServiceNow applications, modules, and workflows to meet user needs and system capacities. Maintain development and production environments while collaborating with administrators to implement updates and resolve complex technical issues.
Develop and maintain scalable business applications using J2EE technologies while implementing new features and fixing bugs. Collaborate with engineers on code reviews and ensure comprehensive automated testing and documentation.
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