Design and deploy secure, scalable software and data systems to support mission operations and simulation environments. Develop APIs, data pipelines, and microservices while integrating AI/ML outputs into production runtime systems.
Remote Software Engineering Jobs (2,834)
Tags = software-engineering
Build and own production-grade components and shared frameworks for a real-time sports betting and analytics platform. Responsibilities include deploying services on Kubernetes, improving the Rust codebase, and resolving data inaccuracies across Python pipelines.
Design, build, and operate agentic AI systems including prompt engineering, tool integration, and evaluation harnesses. Own the full model lifecycle from shipping new AI products to monitoring quality and cost in production.
Software Engineer Manager, Supply Chain Sourcing (REMOTE)
The Home Depot
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Full Time
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1 Week Ago
The Home Depot
Lead high-performing engineering teams to build scalable, secure, and resilient cloud-native solutions for Supply Chain and Retail platforms. Focus on mentoring talent, driving AI-enabled development, and partnering with stakeholders to deliver high-impact technology solutions.
Leads high-performing engineering, QA, DevOps, and data architecture teams to deliver scalable and secure software solutions. Drives operational efficiency through lean practices, AI integration, and alignment with enterprise technology strategy.
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Develop and maintain the Microsoft technology ecosystem, focusing on Business Central customizations and Power Platform solutions. Collaborate with global teams to translate business requirements into integrated technical solutions and provide ongoing system support.
Design and deploy AI-powered tools, automation workflows, and system integrations to improve global business operations. Identify inefficient processes and build scalable solutions using the Microsoft Power Platform and AI frameworks.
Senior Product Owner/ Forward Deployed Executive - AI Delivery
Provectus
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Full Time
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1 Week Ago
Provectus
Lead the delivery and product definition of AI-driven transformations for clients in the financial services and healthcare sectors. You will bridge the gap between technical engineering and executive business value, owning the roadmap for agentic systems and bespoke AI applications.
Own the execution of security controls, automation, and code to reduce organizational risk end-to-end. Build secure-by-default libraries and guardrails to enable engineers to move quickly while safeguarding sensitive patient data.
Design, build, and deploy systematic trading strategies and research infrastructure for various asset classes. Integrate machine learning models into trading workflows and monitor performance to improve risk-adjusted returns.
Design, build, and maintain robust browser extensions for Chrome, Edge, and other major browsers using Manifest V3. Collaborate with endpoint agent and backend teams to ensure secure, performant integration and consistent functionality across services.
Lead the design, development, and enhancement of microservices using Java and Spring Boot on AWS EKS. Drive architectural decisions, implement CI/CD pipelines, and mentor team members to ensure best practices in scalability and security.
Manage and mentor a team of software engineers within the API Engineering group to drive the core services of the investor application. Set technical direction, oversee delivery timelines, and ensure high production code quality through architecture and code reviews.
Lead and grow the engineering team for a machine-learning-based SaaS product, combining technical architecture guidance with people management. Oversee project delivery, hiring, and cross-team collaboration with Product and Data Science teams.
Lead the frontend technical direction for the Trellis design system to modernize HubSpot's UI and customer experience. Develop internal tooling, migration pipelines, and accessibility models while mentoring senior engineers and aligning with product roadmaps.
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KR159 Senior Full Stack Developer
Cybernetic Controls Limited
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Full Time
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1 Week Ago
Cybernetic Controls Limited
Design, build, and maintain scalable web applications using React and Python/FastAPI. Lead end-to-end feature development and define engineering best practices across the team.
Transform software development into an AI-first model by using AI tools to generate initial code solutions from business requirements. Validate AI outputs for correctness, security, and performance while ensuring the final software is production-ready and maintainable.
Provide Tier 1 and 2 technical support by triaging issues and performing root-cause analysis using SQL and code review. Collaborate with engineering teams to escalate complex defects and document resolutions in the knowledge base.
The role involves owning and maintaining the C# client library and developing high-performance server applications in C++. Responsibilities include writing message parsers for market data feeds and optimizing the codebase for high throughput and low latency.
Design and maintain Finance integrations, automations, and reporting using Java, Python, and TypeScript. Develop AI-assisted automations and MCP integrations to extend the capabilities of internal platforms.
Design and maintain high-performance server applications and message parsers using C++, C, and Rust. Optimize codebase for high throughput and low latency while implementing tools for petabyte-scale data processing.
Design and maintain scalable MLOps infrastructure and CI/CD pipelines for machine learning and Generative AI applications. Monitor production ML systems and manage the end-to-end model lifecycle including deployment and governance.
MLOps (Machine Learning Operations) and Model accuracy Engineer
Capgemini
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Full Time
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1 Week Ago
Capgemini
Design and build scalable backend systems and end-to-end MLOps pipelines for ML workloads. Lead cross-functional teams to implement model monitoring, automated retraining, and overall ML platform strategy.
![CI&T is hiring for remote [Job - 30298] Senior Data Developer, Brazil](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
Design, build, and maintain scalable data pipelines and lake architectures using platforms like Databricks and Snowflake. Ensure data quality, governance, and performance optimization while mentoring junior team members.
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Design and implement production-ready agentic AI workflows and RAG pipelines using multi-agent architectures. Develop scalable Python and Java services while integrating AI into CI/CD pipelines with robust monitoring and observability.
Design and deliver scalable backend and cloud systems to power AI-driven products using modern LLM APIs. Develop agentic AI workflows and maintain production-grade infrastructure on AWS using Terraform.
Member of Technical Staff, Custody (Backend Engineer)
Anchorage Digital
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Full Time
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1 Week Ago
Anchorage Digital
Responsible for designing, implementing, and maintaining secure custodial systems for digital assets, smart contracts, and banking rails. The role involves leading medium-to-large cross-functional projects and mentoring other engineers to ensure high code quality and system resilience.
Develop a new SaaS platform and a React-based web application to help researchers interact with biological simulation models. Manage the full stack including backend Python services, data pipelines, and cloud infrastructure automation.
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