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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Lead the development and execution of BESS project plans while managing technical scope, component integration, and commissioning activities. Act as the primary technical liaison between internal teams, clients, and subcontractors to ensure compliance with regulatory standards and contractual obligations.
You will design and improve FP&A workflows in Pigment while managing data pipelines and integrations with systems like NetSuite and Salesforce. Additionally, you will act as an AI evangelist to implement new automation use cases and train finance partners to build their own models.
You will develop and maintain efficient backend integrations for internal and external products while ensuring high availability and performance of APIs. You will collaborate with a multidisciplinary team to deliver scalable solutions using Kanban methodology.
You will own the backend services and data platform, managing everything from high-volume security telemetry ingestion to the pipelines and APIs that protect customers. Additionally, you will design and operate scalable data infrastructure while collaborating across teams to deliver business-critical cybersecurity outcomes.
The Senior DevOps Engineer will design, automate, and maintain AWS cloud infrastructure and Kubernetes-based application platforms. Responsibilities include managing GitOps deployments, implementing observability, and participating in on-call rotations to support production systems.
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You will act as a platform evangelist to build deep relationships with AWS Solutions Architects and drive the adoption of Supabase within the AWS ecosystem. This involves creating technical content, delivering workshops, and providing hands-on support to ensure successful customer implementations.
You will build and operate the core BI platform, owning data ingestion, integration, and architecture to support reporting and AI initiatives. Additionally, you will establish data governance standards, mentor analytics engineers, and ensure the reliability of data models and pipelines.
You will build and maintain the product analytics data foundation to enable self-service reporting, experimentation, and AI initiatives. You will also partner with Engineering and Product teams to define instrumentation requirements and standardize business logic across the organization.
Produce high-quality technical content, demos, and tools to drive developer awareness and product adoption. Build and maintain relationships within the developer community while providing feedback to internal product and engineering teams.
You will build developer tools, extensions, and plugins to improve the platform experience while creating technical content and demos. Additionally, you will engage with the developer community through talks, events, and feedback loops to shape product direction.
The developer will build and deploy AI-enabled solutions, automations, and data-driven workflows to deliver measurable business value. They will collaborate with stakeholders to identify high-impact opportunities and ensure successful handoffs to sustaining teams.
The Database Engineer II is responsible for the development, testing, and production deployment of database products within a cloud environment. They design data models, implement data products, and monitor system performance to ensure business needs are met.
The Saviynt Architect will lead the design and implementation of IAM security strategies and solutions to support enterprise-scale cloud and on-premises platforms. They will collaborate with stakeholders and technical teams to ensure security standards are met while driving the adoption of scalable IAM architectures.
The role involves implementing and managing the Privileged Account Management (PAM) platform using CyberArk components. Responsibilities include onboarding various server and database accounts while ensuring successful system integration and user acceptance testing.
Drive the technical architecture and design of enterprise-level products while mentoring the development team. Collaborate with cross-functional teams to ensure product quality, scalability, and alignment with business strategy.
The Digital Analytics Manager owns digital measurement workstreams, including instrumentation, reporting, and platform administration across web and mobile channels. They partner with cross-functional teams to ensure data accuracy, actionable reporting, and adherence to governance standards.
The Senior Manager of Digital Analytics owns the company's digital measurement infrastructure, governing data collection across web, mobile, and marketing channels. They are responsible for translating complex digital interactions into actionable insights and performance reporting to support business decision-making.
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The consultant will analyze SNAP eligibility operations and quality control data to identify root causes of payment errors and develop effective improvement strategies. They will also coach agency staff and advise leadership on business process enhancements and change management.
The coder ensures accurate and complete inpatient coding to support the measurement and reporting of hospital and physician outcomes. They maintain continuous quality improvement and adhere to established clinical coding guidelines.
The role involves identifying, evaluating, and triaging application-security vulnerabilities while supporting their remediation. You will work directly with software-development teams to resolve security findings and integrate automated scanning into CI/CD workflows.
Serve as a customer-facing technical expert for Hivemind autonomy solutions, supporting sales, demonstrations, and capture activities. Translate complex customer mission needs and operational constraints into technically feasible solution concepts.
You will architect and administer the Siteracker CMMS platform to manage enterprise-wide maintenance and operational workflows for clean energy assets. This involves collaborating with field engineers and asset managers to design robust systems for work orders, preventive maintenance, and asset hierarchies.
The professional will participate in the construction of an agent-based foundational AI platform in partnership with Google. Responsibilities include defining AI architectures, implementing generative AI solutions, and providing technical leadership for platform development.
The Marine Systems Support Engineer serves as a technical authority for GE Vernova systems, bridging field operations with engineering design. Responsibilities include hands-on troubleshooting, managing system obsolescence, and developing engineering solutions for Royal Canadian Navy vessels.
The Engagement Lead will manage Salesforce implementation projects, ensuring they align with client business objectives and follow best practices. They will also mentor project managers, facilitate stakeholder engagement, and oversee project lifecycle activities from planning to execution.
Lead the development and application of machine learning and LLM-powered models to drive business impact across product, marketing, and operations. Collaborate with cross-functional teams to design and deploy ranking, curation, and personalization systems.
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You will design, build, and maintain highly available and scalable infrastructure on Google Cloud Platform while automating CI/CD pipelines. Additionally, you will lead incident response, optimize system performance, and drive department-wide compliance initiatives.
You will architect, build, and maintain model serving infrastructure and real-time data pipelines to support the company's detection engine. Additionally, you will collaborate with machine learning and data science teams to scale services and improve feature development workflows.
You will own the end-to-end data pipeline architecture, including ingestion, transformation, and warehousing to ensure a single source of truth. Additionally, you will partner with GTM operations to manage product analytics and establish robust data quality and observability practices.
The Staff Platform Engineer will define the architecture of the platform and infrastructure layer to ensure scalability, reliability, and security. They will lead the implementation of GitOps models, database stabilization, and infrastructure foundations for compliance-heavy deployments.
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