Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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Develop and maintain automated unit, integration, and end-to-end tests while designing scalable test frameworks. Establish performance and load testing using Azure tools and integrate quality checks into CI/CD pipelines.
Lead and grow the AI/ML Engineering team to design, deliver, and operate a scalable core AI/ML platform. Partner with the Chief AI Officer to bridge the gap between data science proof-of-concepts and production-grade services.
The DevOps Engineer will focus on automation and continuous improvement of infrastructure and deployment processes. Responsibilities include managing containers, observability tools, and configuring various SQL and NoSQL databases.
Lead the technical delivery of customer identity and modernization projects for enterprise clients. Translate architectural designs into implementation tasks and serve as the primary technical lead for identity and authentication issues.
Design and build agent-driven experiences for financial audit workflows while owning complex end-to-end workstreams for large customer onboardings. Collaborate with product managers and domain experts to shape the technical direction of AI-native systems.
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The role involves serving as a Senior Basis Administrator for the CAS Team at Resolve Tech Solutions. The focus is on delivering high-performance, sustainable technology solutions to modernize businesses across various sectors.
Lead the end-to-end design and delivery of AI-driven solutions to optimize business and operational workflows. This includes prototyping MVPs, managing the AI project pipeline, and integrating AI capabilities into existing enterprise systems.
Develop and maintain complex, data-intensive dashboards for Unity Ads game publishers, owning features from requirements to production. Design scalable backend services and APIs while evolving shared UI patterns to improve user workflows and system reliability.
Lead the technical direction of the developer platform, focusing on CI/CD, build systems, and the creation of AI coding agents. Scale internal tooling to support a growing engineering organization while improving developer productivity and happiness.
Lead the vision and evolution of the infrastructure foundation to support high-throughput, low-latency ad-serving and streaming platforms. Architect composable IaC patterns and implement GitOps workflows to ensure platform reliability and cost-efficiency.
Design and implement scalable, future-proof end-to-end cloud architectures using OCI and AWS. Lead design workshops, manage pre-sales technical solutions, and guide customers through the entire cloud lifecycle from requirements to go-live.
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.
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.
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.
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.
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.
Design and develop secure, scalable backend services and APIs for a large federal government healthcare technology project. Collaborate with cross-functional teams to modernize enterprise integration solutions and mentor junior engineers on best practices.
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Lead the development of domain data products, including batch, streaming, and AI/ML feature pipelines. Partner cross-functionally to design scalable data solutions and ensure data reliability, governance, and performance.
The intern will participate in client requirement workshops and draft meeting reports. They will be responsible for the configuration and deployment of ERP solutions such as NetSuite and Oracle ERP Cloud while supporting business users.
The SAP Basis Administrator is responsible for the installation, configuration, and optimization of SAP environments to ensure system reliability and performance. Key tasks include managing HANA databases, performing system refreshes, and implementing disaster recovery strategies.
Identify and acquire high-potential sellers in the jewellery, gemstones, and diamonds categories within the Indian market. Build long-term commercial partnerships and optimize seller performance using data-driven strategies.
Own complex technical support operations for retention partners and act as the primary escalation point for high-priority technical issues. Implement AI workflows and automate repetitive operations to improve support efficiency and scalability.
Lead the strategic development and delivery of turnkey service solutions for PET scanner installations and radiopharmacy infrastructure. Manage the full client engagement lifecycle, from solution design and financial planning to operational execution and regulatory compliance.
Design and build scalable backend services and platform capabilities to standardize loan origination workflows across multiple products and partners. Focus on improving system reliability, observability, and decoupling legacy infrastructure to create reusable platform capabilities.
Embedded within delivery teams to provide real-time engineering rigor, reviewing technical decisions and code to ensure enterprise scalability. Bridges the gap between business-built AI capabilities and production-ready software through integration design and data governance.
Lead the end-to-end development of critical payment projects including collection, disbursement, and a new card issuing stack. Ensure the reliability and scalability of payment processing systems to support 10x growth and global expansion.
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The Senior Python Engineer will design, build, and maintain scalable services that support the AI lifecycle, collaborating closely with the research team. They will develop tools for data processing and collection, and bring new models and features to production at scale.
The Lead Agentic AI Engineer will serve as the engineering lead for AI delivery across Supply Planning and Manufacturing, overseeing the design, development, and deployment of AI agent solutions. This role involves architecting multi-agent AI systems and partnering with various teams to identify and deliver impactful AI use cases.
Design and guide the implementation of scalable network solutions and workflows on the gaiia platform. Act as a technical bridge between customers, sales, and engineering to translate network requirements into actionable designs.
Build and evolve production-grade telecom provisioning and operational workflows using the gaiia platform and SDK. Translate solution designs into reliable, scalable automations while collaborating with network experts and customers.
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