Remote Dev Jobs
14 jobs available
ToptalRemote8h ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for a Technical Project Manager to lead delivery on AI and data product initiatives built on Databricks. This role blends technical project and program management with data product management and change management — you'll drive execution across technical teams while ensuring the organization actually adopts and adapts to what's being built. If you can manage a delivery roadmap and a change curve with equal fluency, this role is built for that. What You'll Do Own technical project and program management for AI and data initiatives, including planning, scheduling, and resource coordination Manage delivery across data and AI workstreams built on Databricks, coordinating cross-functional technical teams Apply data product management principles to help define scope, prioritization, and roadmap for data/AI products Lead change management efforts to drive adoption of new AI-enabled tools, workflows, or data products across the organization Translate business objectives into structured project plans, milestones, and delivery roadmaps Identify and manage project risks, dependencies, and cross-team blockers Facilitate stakeholder communication, including status reporting, roadmap updates, and executive updates Coordinate across engineering, data science, and business stakeholders to maintain alignment on priorities Support governance and structured delivery practices across AI and data programs What You Bring Proven experience in technical project management and/or program management, ideally on AI or data-focused initiatives Working knowledge of artificial intelligence concepts and how AI projects are typically delivered Experience with or strong familiarity with the Databricks platform and data/AI project workflows Experience in data product management, including scoping and prioritizing data-driven initiatives Demonstrated change management experience, driving adoption of new tools, processes,
ToptalRemote8h ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for a Network Security Engineer to design, implement, and secure enterprise network infrastructure built on Aruba and HPE technologies. This is a hands-on role spanning both network engineering and security — you'll be responsible for building reliable network architecture while ensuring it's hardened against modern threats. If you can move fluidly between network design and security enforcement, this role is built for that. What You'll Do Design, configure, and maintain enterprise network infrastructure using Aruba and HPE hardware and platforms Implement and manage network security controls, including firewalls, VPNs, and access control policies Monitor network traffic and security events to identify and respond to potential threats Conduct network security assessments and vulnerability analysis Design and enforce network segmentation, VLANs, and wireless security architecture Troubleshoot network performance, connectivity, and security incidents Maintain documentation for network architecture, configurations, and security policies Collaborate with IT and security teams to align network infrastructure with broader security standards Support compliance efforts related to network and IT security requirements Stay current on emerging network security threats and Aruba/HPE platform capabilities What You Bring Strong hands-on experience with Aruba networking and security products Experience with HP Enterprise (HPE) infrastructure and platforms Solid background in IT security, including threat identification and mitigation Strong network engineering skills, including routing, switching, and wireless architecture Practical experience implementing network security best practices and controls Ability to troubleshoot complex network and security issues independently Strong documentation and communication skills for cross-functional collaboration Nice to Have Relevant certifications (e.g., Aruba C
ToptalRemote9h ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for an IT Support Specialist to provide hands-on IT support for a small business, with a focus on website support, security validation, and platform connectivity. You'll be the go-to person keeping third-party integrations running smoothly and ensuring core business platforms — Google Cloud, Google Workspace, Microsoft 365, Teams, and Salesforce — stay securely connected and functioning. If you're comfortable troubleshooting across a varied tool stack and want a role with real day-to-day impact on a small business's operations, this is built for that. What You'll Do Provide support for third-party website issues, updates, and integrations Conduct security validation and ensure ongoing compliance across connected platforms Configure and maintain connections between platforms and services (Google Cloud, Google Workspace, Microsoft 365, Teams, Salesforce) Troubleshoot and resolve IT support requests related to the tools and platforms in use Proactively identify and address connectivity or security issues before they impact the business What You Bring Experience with Google Cloud Platform (GCP) and Google Workspace Knowledge of Microsoft 365 and Teams Experience with Salesforce General IT support skills, including platform connectivity and security validation Strong troubleshooting skills across a varied, multi-platform tool stack Ability to work independently and communicate clearly with non-technical stakeholders Why This Role Broad platform exposure: Work hands-on across Google Cloud, Microsoft 365, Teams, and Salesforce, not a single narrow tool Real ownership: Directly support a small business's core operational infrastructure Security-focused: Meaningful responsibility for validation and compliance, not just break-fix tickets Flexible engagement: Remote-friendly support role How to Apply Ready to bring your multi-platform IT support expertise to a small business that needs it? Apply thr
ToptalRemote9h ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for a Senior Data/ML Engineer to refactor, operationalize, and improve an existing time series forecasting platform that's already live and driving real business value. This is not a greenfield build — the focus is modernizing a Databricks-based forecasting system that's been maintained primarily by a single developer for years. You'll reduce technical debt, strengthen testing and observability, and raise the engineering bar on a system the business already depends on. If you'd rather bring discipline and maturity to an existing production system than start from a blank slate, this is built for that. What You'll Do Review the current forecasting platform architecture and identify areas for improvement Refactor existing Databricks, Python, and PySpark implementations Move business logic out of Databricks notebooks and into reusable Python modules or packages Improve separation of concerns between orchestration and core business logic Establish stronger engineering standards and help define what "good" looks like for the platform Implement or improve automated testing practices and validation mechanisms for forecasting workflows Build or improve monitoring and observability, increasing visibility into how predictions are generated Help monitor model behavior and operational health over time Improve reliability of scheduled training workflows, reducing manual intervention on failure Improve failure handling, retries, and overall workflow resilience Maintain and extend existing forecasting capabilities as needed What You Bring Strong professional experience with Databricks, including workspaces, notebooks, scheduled workflows, and CI/CD processes Strong Python engineering experience, including designing reusable modules or packages Strong PySpark experience with production data pipelines or distributed data processing Experience refactoring production code and improving maintainability Famili
ToptalRemote1d ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role Join the continued build-out of a production-grade surplus lines platform — a system already handling real policy processing, compliance workflows, and reporting for an active business. This isn't a greenfield project or a maintenance gig: you'll step into a complex, live system, understand its workflows quickly, and independently own solutions across the full stack. If you're a strong engineer first — comfortable across frontend, backend, and workflow orchestration — this is a long-term engagement with real technical depth. What You'll Do Design, develop, and maintain full-stack application features across frontend and backend systems Build and support integrations with third-party systems and APIs Develop workflow-driven processes using Temporal Build scalable APIs and backend services using Python Maintain and optimize relational databases using PostgreSQL Develop reporting and analytics capabilities using charting libraries Contribute to AI-enabled features and integrations within the platform Improve CI/CD pipelines and deployment processes Participate in architecture discussions and help shape long-term technical direction Work closely with business and technical stakeholders to deliver production-ready solutions What You Bring 7+ years of full stack software engineering experience Strong proficiency in Python, with solid backend API development experience Strong frontend experience with modern web frameworks Proven experience designing and building scalable applications with sound architecture Hands-on experience with Temporal and workflow orchestration patterns Familiarity with asynchronous processing and event-driven systems Strong PostgreSQL, SQL, and data modeling experience Experience building reporting dashboards using charting libraries such as Chart.js, D3.js, or Plotly Experience with CI/CD pipelines, containerized deployments, and cloud environments Strong English communication skills,
ToptalRemote1d ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for engineers to help build and productionize AI systems on AWS Bedrock AgentCore — real conversational AI, RAG pipelines, and agent architectures that go well beyond proof-of-concept and serve live traffic and real users. Whether your strength is on the AI application side (agents, RAG, orchestration) or the platform side (deployment, observability, security), this role sits at the center of turning working demos into production-grade, reliable systems on Bedrock's agentic stack. If you've built and shipped on AgentCore specifically — not just Bedrock in general — and want your work to run in production rather than sit in a notebook, this is built for that. What You'll Do Design, build, and deploy conversational AI systems, chatbots, and AI agents using AWS Bedrock AgentCore Architect and ship production-grade RAG (Retrieval-Augmented Generation) systems — not prototypes, but systems serving live traffic Build and deploy LLM applications primarily on AWS Bedrock and AgentCore, with Azure OpenAI or equivalent platforms as secondary context Develop and orchestrate agent architectures within AgentCore, using frameworks such as LangChain, LangGraph, or LlamaIndex where applicable Build and maintain MCP (Model Context Protocol) server integrations to extend AgentCore agent capabilities Design and build the production service layer around AgentCore (Lambda, API Gateway, IAM, DynamoDB, OpenSearch, or equivalents) Establish CI/CD pipelines and manage development, beta, and production environments for AgentCore-based services Implement observability for AgentCore agents: tracing, dashboards, per-turn cost and latency metrics, error rates, and audit trails Implement key security controls — data-leakage protection, session isolation, auth/authz boundaries, secure prompt/response storage Write clean, maintainable, production-quality Python across the AI application and platform stack Monitor, evalua
ToptalRemote4d ago
Headquarters: Remote URL: https://www.toptal.com/ Summary: We are looking for a Senior Full Stack AI Engineer to design, build, and scale production-grade applications powered by generative AI. This role is focused on delivering real products, not just prototypes. The ideal candidate is a strong end-to-end builder who can make sound architectural decisions, integrate AI capabilities into usable systems, and balance fast delivery with long-term maintainability. General Information: This is a senior engineering role for someone who can own product development from architecture through deployment. The role requires strong full stack engineering fundamentals combined with hands-on experience integrating generative AI into production workflows. The right candidate understands how to build scalable backend services, intuitive frontends, and reliable AI-enabled features that serve real users. This person should bring strong product thinking, architectural judgment, and the ability to move independently from requirements to shipped solutions. Tasks and deliverables: Build end-to-end applications that incorporate generative AI capabilities into real user workflows Develop scalable backend services, APIs, and integrations using modern engineering practices Build responsive and maintainable frontend experiences using modern frameworks Design modular system architectures that support scalability, reliability, and long-term maintainability Integrate LLMs and other AI tools into production applications with appropriate safeguards and monitoring Optimize prompt flows, data pipelines, and system interactions for consistency and performance Translate business requirements into technical solutions and make strong implementation trade-offs Own features from ideation through development, testing, deployment, and iteration Reuse and adapt proven solutions where appropriate to accelerate delivery Continuously improve product quality based on performance data, feedback, and operational le
ToptalRemote1w ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for an Oracle Integration Cloud Consultant who can own enterprise integration work end to end — discovery, architecture, implementation, migration, and production support. This isn't a "follow the ticket" role: you'll independently design and build production-grade OIC integrations connecting Oracle applications with ecommerce, ERP, CRM, finance, and supply chain platforms. If you know OIC 3 inside and out and want variety across projects and industries, this is built for that. What You'll Do Design and build integrations using Oracle Integration Cloud, including Oracle and third-party adapter configuration Develop scheduled, event-driven, batch, and API-based integrations Create data mappings, transformations, validations, and orchestration workflows Integrate Oracle applications with ecommerce, ERP, CRM, finance, and supply chain platforms Implement error handling, retries, monitoring, logging, and alerting Define data contracts and technical documentation Troubleshoot integration and connectivity issues across environments Support deployments across development, testing, and production Evaluate integration architectures, platform costs, and alternative approaches Collaborate directly with application, infrastructure, and business teams What You Bring Strong hands-on experience with Oracle Integration Cloud, preferably OIC 3 Experience building and deploying production-grade integration flows Experience with at least one Oracle enterprise application (JD Edwards, Oracle ERP Cloud, E-Business Suite, PeopleSoft, or Siebel) Strong knowledge of REST, SOAP, JSON, XML, webhooks, authentication, and data mapping Experience with scheduled, event-driven, synchronous, and asynchronous integration patterns Experience with error handling, monitoring, troubleshooting, and operational support Familiarity with Oracle Cloud Infrastructure Strong communication, documentation, and independent problem-sol
ToptalRemote2w ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for Senior Rust Engineers to take real ownership of a high-performance, production backend. You'll be working on mission-critical systems where performance, security, and reliability aren't nice-to-haves — they're the job. Whether the work is hardening core services for a cybersecurity product or extending a Rust-based backend that powers a cross-platform application, this role is for someone who can navigate complex, unfamiliar codebases quickly and start shipping production-ready code fast. What You'll Do Build, optimize, and maintain high-performance backend services in Rust Take ownership of core backend architecture, including remediating vulnerabilities and improving CI/CD workflows Interface with PostgreSQL for complex data management, persistence, and schema-oriented design Design and work with schema-oriented service patterns (e.g., gRPC) where applicable Deploy and maintain services on AWS Jump into an existing, unfamiliar codebase and reach full productivity within the first 1–2 weeks Submit clean, high-quality code that holds up to rigorous review and peer scrutiny Take increasing ownership of backend direction as the system evolves or transitions from a legacy team What You Bring Expert-level or extensive senior-level experience with Rust in a production environment Strong experience with PostgreSQL and SQL database design Strong experience with AWS for hosting and deployment Proven track record on large-scale, mission-critical, or high-stakes systems where performance and reliability matter Experience working as a senior individual contributor on evolving production systems Ability to explain complex architectural decisions and take full ownership of submitted code Comfortable working independently and ramping quickly on unfamiliar codebases Nice to Have Familiarity with GitHub-based development workflows Experience with gRPC or Avro-based schema design Exposure to Flutter-b
ToptalRemote2w ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role We're looking for engineers to help build and productionize AI systems that go well beyond proof-of-concept — real conversational AI, RAG pipelines, and agent architectures running on AWS Bedrock and/or Azure OpenAI, serving live traffic and real users. Whether your strength is on the AI application side (agents, RAG, orchestration) or the platform side (deployment, observability, security), this role sits at the center of turning working demos into production-grade, reliable systems. If you like being close to the frontier of agentic AI and want your work to ship rather than sit in a notebook, this is built for that. What You'll Do Design, build, and deploy conversational AI systems, chatbots, and AI agents powered by large language models Architect and ship production-grade RAG (Retrieval-Augmented Generation) systems — not prototypes, but systems serving live traffic Build and deploy LLM applications on AWS Bedrock, Azure OpenAI, AgentCore, or equivalent platforms Develop and orchestrate agent architectures using frameworks such as LangChain, LangGraph, or LlamaIndex Build and maintain MCP (Model Context Protocol) server integrations to extend agent capabilities Design and build the production service layer (Lambda, API Gateway, IAM, DynamoDB, OpenSearch, or equivalents) Establish CI/CD pipelines and manage development, beta, and production environments Implement observability: tracing, dashboards, per-turn cost and latency metrics, error rates, and audit trails Implement key security controls — data-leakage protection, session isolation, auth/authz boundaries, secure prompt/response storage Write clean, maintainable, production-quality Python across the AI application and platform stack Monitor, evaluate, and iterate on agent, RAG, and platform performance in production Stay current with fast-moving developments in LLMs, agentic systems, and cloud AI platforms, and bring relevant advances into the
ToptalRemote2w ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role Join a global company as a QA Engineer specializing in UI and API test automation. You'll be the safety net for a fast-moving development team — building and maintaining the automated tests that catch issues before they reach production. If you're fluent in Java, JavaScript, and Java Rest Assured, and you've got CRM platform exposure (Siebel or similar), this is a role where your automation frameworks directly protect a major product. What You'll Do Develop and maintain automated UI test scripts using Java and JavaScript Design, implement, and execute API tests using Java Rest Assured Run automated test cycles, identify and document defects, and produce detailed test reports Work closely with development teams to integrate automated tests seamlessly into the delivery pipeline Contribute to the ongoing improvement of test automation frameworks and testing processes Apply CRM platform knowledge (Siebel CRM or similar) to inform and strengthen test coverage What You Bring Proven experience in UI and API automation using Java and JavaScript Hands-on experience with Java Rest Assured for API test automation Strong problem-solving skills and comfort working in a fast-paced environment Solid grounding in test automation frameworks and industry best practices Excellent communication skills and a track record of effective collaboration with development and product teams Knowledge of Siebel CRM or other CRM systems is a plus Nice to Have Familiarity with CI/CD pipelines and DevOps processes Experience with additional automation tools like Selenium, Cypress, or Postman Comfort working within Agile methodologies and cross-functional team environments RATE: $30-35/hr. USD To apply: https://weworkremotely.com/remote-jobs/toptal-qa-automation-engineer-ui-api
ToptalRemote2w ago
Headquarters: Remote URL: https://www.toptal.com/ About the Role Join the continued build-out of a production-grade surplus lines platform — a system already handling real policy processing, compliance workflows, and reporting for an active business. This isn't a greenfield project or a maintenance gig: you'll step into a complex, live system, understand its workflows quickly, and independently own solutions across the full stack. If you're a strong engineer first — comfortable across frontend, backend, and workflow orchestration — this is a long-term engagement with real technical depth. What You'll Do Design, develop, and maintain full-stack application features across frontend and backend systems Build and support integrations with third-party systems and APIs Develop workflow-driven processes using Temporal Build scalable APIs and backend services using Python Maintain and optimize relational databases using PostgreSQL Develop reporting and analytics capabilities using charting libraries Contribute to AI-enabled features and integrations within the platform Improve CI/CD pipelines and deployment processes Participate in architecture discussions and help shape long-term technical direction Work closely with business and technical stakeholders to deliver production-ready solutions What You Bring 7+ years of full stack software engineering experience Strong proficiency in Python, with solid backend API development experience Strong frontend experience with modern web frameworks Proven experience designing and building scalable applications with sound architecture Hands-on experience with Temporal and workflow orchestration patterns Familiarity with asynchronous processing and event-driven systems Strong PostgreSQL, SQL, and data modeling experience Experience building reporting dashboards using charting libraries such as Chart.js, D3.js, or Plotly Experience with CI/CD pipelines, containerized deployments, and cloud environments Strong English communication skills,
ToptalRemote4w ago
Headquarters: Remote URL: https://www.toptal.com/ Summary: We are looking for an AI Engineer to help design, build, and improve AI-powered applications and agentic systems. This role is broad and best suited for engineers who have hands-on experience working with LLMs, RAG pipelines, AI agents, and modern AI orchestration frameworks. General Information: The engineer will work on building production-ready AI solutions that combine LLMs, tools, retrieval systems, workflows, and integrations. The ideal candidate is comfortable moving from experimentation to implementation and can make practical engineering decisions around reliability, scalability, and maintainability. Tasks and deliverables: Design and build AI agents and LLM-powered workflows. Implement RAG systems using vector databases, embeddings, chunking strategies, and retrieval optimization. Work with frameworks such as LangChain, LangGraph, LlamaIndex, or similar tools. Integrate LLMs with APIs, internal systems, databases, and external services. Evaluate model outputs, improve prompt strategies, and support testing and observability. Collaborate with product and engineering teams to turn AI use cases into reliable software. Required Experience: Strong software engineering experience, preferably with Python and modern backend systems. Hands-on experience building AI agents, RAG pipelines, or LLM-based applications. Experience with LangGraph, LangChain, LlamaIndex, Semantic Kernel, or similar frameworks. Understanding of embeddings, vector databases, retrieval strategies, and prompt engineering. Experience integrating LLMs with tools, APIs, and structured workflows. Ability to evaluate AI system quality, latency, cost, and reliability. Comfortable working in fast-moving, ambiguous environments. Engagement highlights: Broad AI engineering role focused on practical, production-oriented solutions. Opportunity to work with modern agentic architectures and LLM tooling. Ideal for engineers who enjoy combining softw
ToptalRemote4w ago
Headquarters: Remote URL: https://www.toptal.com/ Job Description Summary: We are looking for a Full-stack Engineer with strong experience using agentic coding tools to accelerate software delivery. This role is ideal for engineers who are highly productive with tools such as Claude Code and understand how to structure workflows using hooks, subagents, skills, prompts, and automation. General Information: The engineer will work across frontend, backend, and developer workflows, using agentic coding tools as part of day-to-day development. The ideal candidate is a strong full-stack engineer first, with deep practical experience applying AI coding assistants to build, refactor, test, and maintain production software. Tasks and deliverables: Build and maintain full-stack applications across frontend, backend, APIs, and data layers. Use agentic coding tools to improve implementation speed, code quality, testing, and documentation. Set up and manage workflows using Claude Code or similar tools. Create and use hooks, subagents, skills, custom instructions, and reusable coding workflows. Refactor existing codebases with the support of AI coding agents. Write tests, review generated code, and ensure production-quality engineering standards. Collaborate with teams to define best practices for AI-assisted software development. Required Experience: Strong full-stack engineering experience with modern frontend and backend technologies. Hands-on experience using Claude Code or similar agentic coding tools in real development work. Experience with hooks, subagents, skills, custom prompts, and structured agent workflows. Ability to guide AI coding tools effectively while maintaining ownership of code quality. Strong understanding of testing, debugging, code review, architecture, and maintainability. Experience working with existing codebases and using AI tools for refactoring and feature delivery. Ability to move quickly while applying sound engineering judgment. Engagement highli