Software Engineer, Big Data
Build data processing pipelines and machine learning infrastructure to support intelligence systems. Deploy cloud-based technologies and maintain code within a Kubernetes environment.
Remote Junior Software Development Jobs
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Build data processing pipelines and machine learning infrastructure to support intelligence systems. Deploy cloud-based technologies and maintain code within a Kubernetes environment.
The OT Systems Engineer is responsible for deploying, configuring, and supporting operational technology networks for utility-scale Battery Energy Storage System projects. This role involves ensuring reliable connectivity between control systems and supporting commissioning activities to bring new projects online.
The Salesforce QA Tester is responsible for crafting comprehensive test scripts and ensuring high quality standards for user stories. They will work directly with stakeholders and the technical team to provide detailed test results and ensure functionality within agile sprints.
The MuleSoft Integration Engineer will build and maintain integration solutions on the MuleSoft Anypoint Platform for federal projects. They will collaborate with stakeholders to define data models and develop APIs to facilitate real-time and batch data exchange.
Lead a team of data scientists in the design and deployment of advanced machine learning and AI solutions to address complex business problems. Partner with business leaders to drive data strategy and deliver actionable insights that support strategic decision-making.
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The Senior Applications Engineer is responsible for developing comprehensive cost estimates for electrical building projects and infrastructure. They will collaborate with engineering and procurement teams to analyze project requirements, source vendor pricing, and ensure accurate bid proposals.
The Software Test Engineer ensures the functionality and safety of clinical trial software by developing validation plans and executing test scripts. They also manage project testing tasks and serve as a point of contact for quality and risk management.
The Solutions Engineer will develop territory strategies and lead technical presentations and proof-of-concept engagements for SLED prospects. They are responsible for aligning customer requirements with SentinelOne offerings and supporting the sales cycle from initial engagement to implementation.
Develop Django-based websites and build frontend data visualization components to interpret complex healthcare pricing data. Collaborate with the product team to write scalable code, debug programs, and prioritize feature requests.
You will serve as the connective layer between engineering, product, and business teams to define and document cloud infrastructure requirements. You will also be responsible for maintaining system documentation and identifying technical dependencies to prevent delivery blockers.
The Combination Product Engineer/Scientist will support client development projects by writing technical documentation, conducting laboratory testing, and performing data analysis. They will also represent Kymanox in client-facing meetings and manage project-related tasks such as scheduling and correspondence.
You will design, build, and maintain platform infrastructure and tools to enable engineering teams to deploy software reliably at scale. This involves managing Kubernetes environments, applying GitOps practices, and troubleshooting complex distributed systems.
The role involves designing, implementing, and testing medical interface solutions while supporting sales teams with interoperability proposals. Additionally, the engineer will manage project timelines and provide ongoing technical support for customers in a production environment.
Identify and approach new B2B partners across Thailand and Asia to build a strong regional business network. Manage the full commercial process, including face-to-face meetings, negotiations, and partner onboarding while collaborating with the international team.
You will build and maintain data pipelines and processing workflows to structure and analyze large-scale visual datasets. Additionally, you will develop software for visual data analytics and collaborate on experimental projects to support intelligence and public safety applications.
The Solutions Engineer will serve as the technical lead during the pre-sales process, partnering with Sales Executives to deliver product demonstrations and drive proof-of-concept engagements. They will also act as the technical voice of the customer, relaying market feedback to the Product and Engineering teams to influence the product roadmap.
The engineer will serve as a technical lead for virtual energy management programs, advising commercial and industrial customers on energy efficiency opportunities. They will also collaborate with internal teams to develop technical resources, monitor advisor performance, and support measurement and verification efforts.
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Design, develop, and deploy scalable applications using modern programming languages while integrating AI-driven solutions and automation workflows. Collaborate with cross-functional teams to prototype new ideas and optimize code for performance and maintainability.
The Senior Service Engineer performs on-site maintenance, repairs, and troubleshooting for advanced microscopy systems to ensure high customer satisfaction. They also provide technical feedback to improve product reliability and maintain compliance with service documentation standards.
Design and build agentic workflows and orchestration systems for industrial AI products. Collaborate with customers through site visits to ensure production-grade reliability and performance.
You will analyze, process, and interpret large datasets to generate actionable insights for global clients. Additionally, you will be responsible for designing data warehouse models and maintaining robust ingestion and transformation processes.
You will be responsible for writing readable, testable, and maintainable code while taking ownership of backend features from requirements to deployment. Additionally, you will participate in code reviews, suggest technical improvements, and support team members through pair programming.
The IT Systems Engineer will provide technical support for employees and ensure the security and reliability of hardware devices. They will also manage identity and access, handle procurement, and develop automated solutions to improve internal IT processes.
You will design, prototype, and evaluate specialized AI agents to automate complex insurance workflows and claim handling processes. You will also own the end-to-end lifecycle of these AI systems, from problem formulation and benchmarking to production deployment and continuous improvement.
You will manage internal IT support, including macOS and Linux troubleshooting, user lifecycle management, and identity access systems. Additionally, you will own internal IT projects from scoping through to rollout and automate user journey processes.
You will lead quality initiatives and develop risk-based testing strategies for the North American Sports product team. You are responsible for designing and executing automated tests across the full stack while mentoring teammates to maintain high quality standards.
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The Network Engineer is responsible for the design, implementation, security, and ongoing support of the company's network infrastructure across offices and cloud environments. This role involves proactive monitoring, capacity planning, and providing escalation-level troubleshooting to ensure reliable and secure connectivity.
Develop, train, and fine-tune computer vision and visual language models for intelligence and public safety applications. Build and maintain large-scale data pipelines and workflows for visual and geospatial datasets.
Modernize a business-critical frontend application by refactoring legacy code and improving architectural standards. Collaborate with cross-functional teams to implement UI/UX designs while driving accessibility and testing practices.
Design, develop, and deploy AI-powered solutions including GenAI applications, predictive analytics, and automated industrial systems. Collaborate with cross-functional teams to integrate these solutions into enterprise environments while managing model lifecycles and MLOps.
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