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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You will own the finance data domain, ensuring data accuracy, reliability, and quality across financial models and reporting. This involves building data products, automating processes, and developing LLM agents to support finance and business teams.
Own and scale the connector ecosystem by prioritizing and managing third-party API and app integrations for AI features. Collaborate with engineering teams to define product requirements, evaluate performance, and drive the roadmap for AI-powered tools.
Design, build, and maintain highly available cloud infrastructure while optimizing production Kubernetes environments. Lead infrastructure improvements, automate processes, and collaborate with cross-functional teams to ensure system reliability and security.
You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.
You will participate in the creation of new game modes and logic for both client and server using Python. Additionally, you will develop high-performance in-game components and maintain the large-scale infrastructure of the project.
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The Senior Product Design Engineer will bridge the gap between design and engineering by working directly in the codebase to ensure high-quality execution. You will lead impactful projects, collaborate with cross-functional teams, and help shape the design engineering discipline within the company.
Design and build machine learning models to optimize routing, travel time prediction, and traffic estimation using large-scale geospatial data. Lead the end-to-end production ML lifecycle, including model evaluation, deployment, monitoring, and collaboration with cross-functional teams.
You will be responsible for investigating and resolving production issues while tuning system performance across high-load services. The role involves maintaining Kubernetes environments, improving observability, and developing internal tooling to reduce operational overhead.
You will design, build, and maintain scalable backend services while owning key parts of the architecture for a high-load global platform. You will also collaborate with product managers and frontend engineers to develop new features and mentor team members.
You will manage L2 technical escalations, handle access governance, and oversee corporate SaaS administration. Additionally, you will drive efficiency through automation and provide mentorship to the L1 support team.
You will design and maintain internal automations, bots, and AI-powered assistants to streamline operational workflows and remove routine tasks. Additionally, you will build lightweight internal tools and document all solutions to ensure maintainability across the organization.
Design, scale, and maintain robust automation frameworks and operational data integrations across multiple platforms. Lead incident investigations, mentor junior engineers, and contribute to long-term data architecture and strategy.
The Senior DevSecOps Engineer will be responsible for implementing and maintaining security protocols within the development and operations lifecycle. They will focus on automating security processes and ensuring robust protection across the organization's infrastructure.
The Senior DevSecOps Engineer will be responsible for implementing and maintaining security protocols within the development and operations lifecycle. They will work closely with the security department to ensure robust protection across all technical environments.
You will be responsible for crafting clean, efficient, and scalable code to support the company's software escrow platform. You will collaborate with the team to build high-quality solutions and contribute to the long-term success of the organization.
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You will build, maintain, and scale data scrapers and pipelines to collect financial data from various third-party sources. Additionally, you will perform technical investigations, conduct code reviews, and contribute to architectural improvements to reduce technical debt.
You will be responsible for planning, executing, and optimizing end-to-end CRM campaigns across multiple channels to drive player engagement and retention. This involves leveraging data insights for segmentation and collaborating with cross-functional teams to align campaigns with business objectives.
Develop new data-intensive functionality for brand performance and unified SEO/ASO tracking products. Collaborate with backend engineers and product teams to transform research into production-ready solutions.
The role involves designing and operating automated security controls for vulnerability management and infrastructure fleet security. You will build self-service security platforms, APIs, and dashboards to enable engineering teams to manage security independently.
You will architect and evolve backend systems in Golang to support millions of users while maintaining existing Node.js services. You will collaborate with product and data teams to build scalable APIs and optimize performance bottlenecks.
Engage in live, natural video conversations in Russian with other participants to provide data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns, tone, and cultural nuances.
Conduct deep-dive testing across web platforms, SDKs, and APIs to ensure the reliability of complex verification orchestrations. Collaborate with developers and product managers to refine requirements and perform root-cause analysis on identified issues.
You will design, build, and maintain automated test suites for web and API layers using TypeScript and Playwright. Additionally, you will collaborate with cross-functional teams to define test strategies and integrate testing into CI/CD pipelines.
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You will design, build, and optimize backend components that power over 100 external provider integrations. Additionally, you will ensure high stability, performance, and observability across the platform's distributed systems.
Develop and maintain backend services using Python and Django while building fintech solutions for payment processing. Integrate third-party payment APIs, optimize application performance, and resolve production issues.
The Data Engineer will own and deliver data engineering tasks, integrations, and marketing systems while troubleshooting pipeline and data quality issues. They will collaborate cross-functionally to transform data across various platforms and support payment orchestration flows.
Design and develop core platform components and shared libraries to power product teams across the company. Improve the performance, scalability, and fault tolerance of mission-critical services while driving architectural decisions.
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