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 collaborate with the sales team to identify prospects and demonstrate security solutions to address complex technical and business challenges. Additionally, you will manage proof-of-concepts, respond to RFIs and RFPs, and educate partners on the latest cybersecurity technologies.
Develop and maintain headless eCommerce storefronts using Next.js and Salesforce Commerce Cloud. Collaborate with cross-functional teams to integrate APIs, optimize performance, and deliver scalable web solutions.
Provide network security implementation and consulting services for diverse customer environments. Manage SASE and firewall technologies while developing high-level security documentation and network diagrams.
Develop and execute territory plans to drive revenue while collaborating with account executives to cross-sell data and AI security solutions. Manage the full sales cycle, maintain a high-value pipeline, and expand relationships with key channel partners.
You will serve as a trusted technical advisor, leading prospects through the sales process by delivering customized product demonstrations and addressing their fraud and compliance needs. Additionally, you will collaborate with product and engineering teams to influence the product roadmap and ensure the platform meets customer requirements.
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The Senior Backend Engineer is responsible for designing and building scalable backend systems and cloud-native services using Python and AWS. This role involves translating business requirements into technical solutions, managing system architecture, and providing mentorship to other engineers.
The role involves designing, configuring, and maintaining Active Directory and Group Policy Objects while managing identity lifecycle workflows. You will also support cybersecurity compliance efforts, including RMF activities and the enforcement of least-privilege access principles.
The InfoSec Analyst II will manage the security compliance program, including SOC 2 and ISO 27001 audits, evidence collection, and control testing. Additionally, the role involves contributing to AI governance by evaluating risks and documenting security controls for AI-powered products.
You will own the end-to-end codebase, architecture, and CI/CD processes for deepgram.com while managing the Sanity CMS and global design system. Additionally, you will lead technical SEO, internationalization efforts, and integrate AI-native workflows into the marketing site's development.
You will own the full lifecycle of Fastpath Assure connector integrations across NetSuite, Oracle EBS, and Oracle Cloud platforms. This includes driving the technology roadmap, developing data extraction logic, and collaborating with cross-functional teams to deliver high-quality security integrations.
The Principal Engineer will own technical direction and architecture across client engagements while driving the adoption of AI-enabled engineering practices. They will act as a trusted advisor to client executives and mentor senior engineering teams to ensure high-quality, scalable product delivery.
The QA Technical Lead will oversee QA activities, including planning, risk analysis, and the integration of AI-driven validation into testing workflows. They are responsible for mentoring the team, managing technical debt, and coordinating with the automation team to ensure high-quality software delivery.
The Storage Operations Engineer will build, maintain, and operate Ceph-based cloud storage environments to ensure high availability and scalability. Responsibilities include developing automation frameworks, optimizing metrics collection, and collaborating with cross-functional teams on architecture and capacity planning.
You will build and operate a secure, reliable, and scalable cloud-native infrastructure using GitOps patterns and AI-assisted engineering tools. The role involves managing security telemetry, automating platform tasks, and ensuring the resilience of systems across hundreds of AWS environments.
Perform Aspentech development according to system designs and participate in system integration and user testing. Handle model production deployments, releases, and provide post-launch support while suggesting model improvements.
Design, build, and maintain enterprise-grade IT service platforms while leveraging AI agents to accelerate engineering workflows. Provide L3+ production support and collaborate with stakeholders to translate business needs into scalable technical solutions.
The Senior Cloud Engineer will lead the architecture, implementation, and optimization of cloud infrastructure to ensure security, scalability, and cost-efficiency. They will coordinate deployment activities, manage cloud resources, and collaborate with technical teams using ITIL, Agile, and DevOps practices.
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The Applications Engineer serves as a technical leader for identifying, developing, and scaling additive manufacturing applications using HP MJF technology. This role bridges sales, product development, and manufacturing to drive customer adoption and provide technical consulting throughout the product lifecycle.
The Cybersecurity Engineer II will design, implement, and optimize security monitoring and endpoint detection capabilities to enhance threat response. They are responsible for maintaining the operational health of SIEM and EDR infrastructure while collaborating with teams to develop custom detection rules and dashboards.
You will act as the pricing lead for assigned product lines, defining and testing AI packaging and monetization strategies. You will partner with product leaders to build roadmaps, model pricing constructs, and ensure healthy product margins through data-driven experiments.
The AI Ops Engineer will design, build, and maintain AI-powered workflows and automation to improve Professional Services delivery efficiency. They will also serve as a strategic advisor, coaching personnel and ensuring all AI solutions adhere to governance standards.
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You will architect and deploy scalable generative AI systems, including RAG pipelines and multi-agent architectures using foundation models. Additionally, you will develop robust backend services, optimize prompt engineering, and collaborate with cross-functional teams to deliver production-ready AI solutions.
You will be responsible for designing, developing, and operating backend solutions using Java within a complex microservices architecture. The role involves integrating messaging, asynchronous communication, and AI technologies to ensure system resilience in a fintech environment.
The Senior Data Engineer will design, build, and maintain enterprise data platforms and pipelines to support analytics, automation, and AI initiatives. They will collaborate with technical teams and federal stakeholders to ensure data quality, security, and compliance across the data lifecycle.
You will design, build, and launch backend services to process clinical data at scale while collaborating across disciplines to improve system quality. Additionally, you will support production applications and advocate for improved technical designs and secure coding practices.
Lead the design and development of complex metadata services including discovery APIs, cataloging, and lineage systems. Mentor team members and establish high standards for architecture, code quality, and operational reliability.
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The role focuses on evolving and commercializing the Mainframe as a Service portfolio by integrating AI capabilities and next-generation platform innovations. You will own the commercialization roadmap, define pricing models, and translate technical capabilities into sellable, value-driven service offerings.
The Cloud Architecture team provides pre-sales deep technical and business expertise to customers running stateful applications in containers. They are responsible for automating Day 2 data management workflows and driving customer interest in Everpure technologies.
Lead and mentor a team of SREs to ensure technical excellence, operational efficiency, and professional growth. Act as a strategic advisor to enterprise clients while managing critical escalations and ensuring adherence to service level agreements.
The Sr. Data Engineer will lead cross-functional teams to develop and manage data pipelines while supporting federal customers at the DHS. They are responsible for deploying models, ensuring system reliability, and implementing technical improvements through lean-agile practices.
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