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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Manage Jira Service Desk tickets and monitor system alerts to ensure service continuity and timely incident resolution. Coordinate with technical teams to support development pipelines and maintain operational effectiveness.
You will build and ship LLM-powered agents and workflows while ensuring system quality through rigorous evaluations. Additionally, you will integrate with data sources, instrument for telemetry, and coach team members on LLM best practices.
The role involves working as a consultant, focusing on software development and Pega platform implementation. You will be responsible for building and maintaining complex systems using Salesforce and Pega technologies.
The engineer will research, design, and build realistic cybersecurity lab environments, including VMs and multi-host scenarios for Linux, Windows, and Cloud platforms. They will also provide technical leadership by reviewing lab concepts, mentoring team members, and maintaining automation tools for content creation.
The Principal Engineer will provide technical leadership to develop and implement packaging equipment strategies, automation projects, and continuous improvement initiatives. They will manage the full project lifecycle, including feasibility analysis, design, and equipment acceptance trials to ensure operational effectiveness.
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You will adapt and stabilize a high-quality AA Unreal Engine 5 game for a Linux-based cloud streaming platform. Responsibilities include performance optimization, integrating platform SDKs, and diagnosing complex threading and memory issues.
The Azure Data Architect leads the end-to-end design of cloud data warehouses, data lakes, and data pipelines. This role connects business goals with technical execution to ensure data systems are secure, performant, and cost-effective.
The Senior Engineer will design and deliver mechanical systems including HVAC, structural components, and pre-fabricated buildings while defining technical strategies. They will also provide troubleshooting, risk assessments, and partner with internal teams and customers to ensure project success.
The Systems Application Engineer II is responsible for designing, installing, and commissioning building automation and HVAC control systems for medium to large projects. They act as the lead design engineer, managing project documentation, coordinating with stakeholders, and ensuring technical compliance with specifications and budgets.
The Senior Systems Service Engineer provides expert technical support, commissioning, and maintenance for mission-critical industrial control systems. They are responsible for troubleshooting complex hardware and software issues while delivering innovative solutions to improve system reliability and performance.
Review, evaluate, and validate AI-generated content to ensure accuracy and relevance. Annotate and label various data types while providing clear feedback on quality issues.
The role involves reviewing and evaluating machine-generated Telugu translations and audio transcriptions for accuracy and quality. You will select preferred translations and provide written justifications while adhering to project guidelines.
The Sales Engineer will lead and coordinate pre-sales strategy for complex deals, supporting the sales team with technical expertise and platform insights. They will manage RFP submissions, act as the voice of the customer to influence product roadmaps, and facilitate successful customer onboardings.
The Site Reliability Engineer will own the availability, performance, and reliability of production SaaS applications on Azure. They will lead incident response, drive automation, and implement infrastructure improvements across multi-region environments.
Design and build multi-stage tasks to benchmark AI agents on real-world spatial transcriptomics projects. Evaluate agent decision-making processes across complex biological data workflows from image alignment to downstream inference.
The role involves designing, implementing, and supporting scalable cloud environments across AWS, Azure, and GCP. You will be responsible for infrastructure automation, CI/CD pipeline management, and the operational support of data platforms like Databricks and Apache Airflow.
The L3 Service Engineer acts as the final internal technical escalation point to resolve complex infrastructure, cloud, and security incidents. They are responsible for performing root cause analysis, implementing permanent technical fixes, and mentoring L1/L2 engineers to improve service standards.
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You will be responsible for enhancing the architecture, deployment processes, and operational backbone of the ML platform with a focus on MLOps and production-ready systems. Additionally, you will collaborate with cross-functional teams to ensure ML models are scalable, reliable, and reproducible.
The Senior System Test Engineer will design and maintain system tests for the TM500 product, analyzing new protocol features and creating test plans. They are responsible for diagnosing issues, scripting automated tests, and providing high-level technical support to customers regarding 3GPP protocol behavior.
You will own the design, testing, and continuous improvement of prompts and system instructions for AI agents across enrollment, learning, and student support. You will collaborate with cross-functional teams to translate pedagogical goals into agent behavior and build evaluation frameworks to ensure performance.
Define and govern enterprise architecture standards for digital workplace, cloud, identity, and collaboration platforms. Lead large-scale transformation initiatives while ensuring secure, scalable, and resilient solutions across hybrid and multi-cloud environments.
You will design, implement, and evolve backend product capabilities while influencing the technical direction and architecture of a global platform. Additionally, you will mentor team members, ensure operational excellence, and integrate agentic AI into production engineering workflows.
Design, train, and deploy computer vision and generative AI models into production pipelines. Build and maintain the supporting infrastructure, including APIs, data pipelines, and monitoring systems to ensure model reliability.
You will build and improve novel machine learning systems to protect the platform from fraud and ensure community safety. You will collaborate with cross-functional teams to deliver scalable AI/ML solutions and mentor engineers to foster a strong technical culture.
The Senior Solutions Engineer will act as a trusted technical advisor to enterprise customers in Taiwan, guiding them through DevOps, DevSecOps, and software supply chain security modernization. You will lead the technical sales cycle, including discovery, solution design, demonstrations, and proof-of-concepts to drive business outcomes.
You will develop high-quality, reusable frontend code for the Sportsbook platform while collaborating with cross-functional teams in an agile environment. Responsibilities include translating mockups into optimized code, conducting code reviews, and participating in backlog grooming.
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Design, build, and maintain revenue platform reports, dashboards, and data integrations to support sales forecasting and pipeline management. Partner with Revenue Operations and Sales leadership to translate business needs into scalable, AI-driven technical solutions.
The role involves designing and engineering data solutions using Google Cloud Platform services. You will be responsible for building and managing data architectures to support digital solutions for global enterprises.
Design and implement mathematical optimization models to solve complex industrial problems such as planning, scheduling, and resource allocation. Collaborate with cross-functional teams including software engineers and data scientists to integrate optimization solutions into scalable production environments.
Design and build complex, hands-on lab scenarios and training content to showcase Sysdig solutions across cloud-native environments. Partner with cross-functional teams to ensure training relevance while managing the reliability of the training platform and infrastructure.
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