Lead the design and implementation of scalable, cloud-native system architectures using Java and AWS. Provide technical leadership and mentorship to engineers while remaining hands-on in developing high-performance distributed systems.
Remote Software Development Jobs (49,408)
Job category = Software Development
Develop and maintain backend APIs and user journeys for loan repayment processes at scale. Collaborate with product, design, and analytics teams to deliver technical solutions and support system availability through monitoring and on-call efforts.
Manage the company's global privacy and compliance framework while providing legal guidance on AI and product development. Lead legal responses to security incidents and draft user-facing legal documents and product agreements.
Build and operate scalable, production-grade AI systems to automate credit analytics and decisioning workflows across the credit lifecycle. Implement LLMOps practices and develop evaluation frameworks to ensure response accuracy and reduce hallucinations.
Lead the creation and optimization of advanced machine learning algorithms to enhance advertising effectiveness and ROI. Own the end-to-end development of production-grade ML models and collaborate with Data Engineers for system integration.
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Manage and optimize the Google Workspace environment, including user accounts, security settings, and system performance. Automate administrative tasks using custom scripts and provide technical support and training to users.
Own end-to-end product quality across mobile and web platforms for a social discovery app. Design and execute test scenarios, validate APIs, and collaborate with engineers to ensure smooth releases.
Public Health Salesforce Architect
Flourish & Thrive Labs
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Full Time
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1 Week Ago
Flourish & Thrive Labs
Develop and maintain Salesforce applications using Apex, LWC, and Flow within a SAFe Agile framework. Collaborate with architects and cross-functional teams to translate public health requirements into technical solutions for the PH360 platform.
Senior Software Engineer (CRisk)
Brady Technologies Limited
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Full Time
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1 Week Ago
Brady Technologies Limited
The role involves hands-on software development across the entire SDLC for the CRisk solution in the energy markets. Key duties include coding, implementing TDD, managing CI/CD pipelines, and mentoring junior team members.
Design and deploy autonomous multi-agent systems and advanced RAG pipelines to optimize global logistics and corporate processes. Coordinate agentic workflows and integrate scalable AI services into the existing digital infrastructure.
Mid-Level DevOps Engineer
Knowledge Management, Inc.
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Full Time
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1 Week Ago
Knowledge Management, Inc.
Architect and maintain secure infrastructure and automation using CI/CD principles within a GitHub Enterprise environment. The role involves migrating systems to a Kubernetes cluster-based architecture and implementing infrastructure-as-code via Terraform.
Mid-level Backend/Middleware Developer
Knowledge Management, Inc.
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Full Time
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1 Week Ago
Knowledge Management, Inc.
Design, develop, and maintain secure, scalable RESTful APIs and middleware services using Java and Spring Boot. Implement Zero Trust principles and manage authorization policies using RBAC and ABAC to ensure mission-critical application security.
Maintain and modernize web applications using Angular, Node.js, and CakePHP while leading the migration of legacy components. Design and optimize automation workflows using VMware Aria Automation and Ansible to improve operational efficiency.
Lead the Data Science & Engineering department to foster a data-centric culture and build scalable infrastructure for organizational insights. Oversee data strategy, AI/ML product enablement, and the management of data analytics, engineering, and platform teams.
Develop and optimize scalable ETL pipelines using Databricks, Python, and SQL to support business decision-making. Manage the full data lifecycle from ingestion into the data lake to the creation of dashboards and reports.
Conduct experiments with LLM architectures and implement evaluation frameworks to assess AI bot performance. Optimize models for inference efficiency and collaborate with cross-functional teams to integrate AI solutions into products.
Build and optimize CI/CD pipelines while implementing automation for environment provisioning and secure software delivery. Collaborate with cross-functional teams to improve deployment reliability and maintain technical documentation for operational processes.
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Build and maintain secure CI/CD pipelines and automation solutions for environment provisioning and software delivery. Collaborate with cross-functional teams to improve operational stability, deployment reliability, and cloud infrastructure performance.
Design and maintain secure CI/CD pipelines and scalable cloud platform solutions using Infrastructure-as-Code and container technologies. Collaborate with cross-functional teams to improve developer experience, ensure operational reliability, and implement DevSecOps controls.
Build robust server-side solutions and reusable client integration systems for a scalable SaaS platform. Collaborate with design and product teams to plan sprints, estimate timelines, and perform code reviews.
Lead the company-wide AI strategy and operational transformation to increase efficiency across Sales, Support, and Operations. Design and execute AI-driven workflows and automation initiatives integrated with CRM and telephony platforms.
Configure and optimize AI bots, assistants, and conversational workflows to improve internal productivity and customer interactions. Collaborate with various departments to identify automation opportunities and integrate AI systems with CRM and telephony tools.
The engineer will design, deploy, and maintain network solutions for clients, focusing on security and performance. Responsibilities include gathering project requirements, managing M&A network integrations, and providing ongoing technical support.
Own the inference and orchestration layer to build production systems that power AI interactions. Focus on optimizing latency, throughput, and reliability for AI-powered APIs across mobile and desktop clients.
Own the Android client experience by building a production application where AI interactions are core to the product. Focus on integrating AI-powered features, optimizing performance for AI-heavy flows, and collaborating with backend and ML engineers.
The engineer will own the Android client experience, building a production application where AI interactions are core to the product. Responsibilities include integrating AI-powered features, optimizing performance for AI-heavy flows, and collaborating with backend and ML engineers.
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The role involves building and shipping end-to-end AI features, focusing on turning raw model outputs into reliable product behaviors. Responsibilities include designing agent workflows, optimizing for latency and cost, and debugging the full stack from model to UX.
The role involves building and shipping end-to-end AI features, turning raw model outputs into reliable product behaviors. Responsibilities include designing agent workflows, optimizing for latency and cost, and debugging across the full stack from model to UX.
Design and operate the inference and orchestration layer for a proactive AI smart assistant. Focus on building stable, low-latency APIs and managing production concerns like monitoring, logging, and incident response.
Build backend services to integrate AI capabilities into payroll workflows. Collaborate with ML engineers and operations to develop real-world AI-powered tools.
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