• Work as part of an agile development team to design, estimate, develop, test, and deliver commercial software products. • Mentor and lead more junior members of the team when appropriate • Write unit and integration tests and collaborate with QA for resolution of issues • Collaborate with product owners and product managers to understand business requirements for user story creation and refinement. • Provide input for project estimation, planning, timelines, and status • Continuously expand knowledge in the technical and business domain • Perform other duties and responsibilities, as necessary.

Title: .NET Full Stack Developer Location: Remote US Job Description: Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications. As we continue to grow, we’re looking for a skilled .NET Full Stack Developer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: .NET Full Stack Developer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Salary: $100K - $150K Experience: 5+ years Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits. Employment Terms & Visa Policy This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies’ in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience. Job Summary We are seeking an experienced .NET Full Stack Developer to design, build, and maintain enterprise-grade web applications and distributed systems built on Microsoft technology stacks. This role spans the full engineering lifecycle — requirements analysis, architectural design, hands-on implementation, code review, deployment, and post-release support — with particular emphasis on building scalable APIs, responsive front-end applications, and cloud-integrated services. The ideal candidate will combine strong backend expertise in C# and .NET Core with hands-on experience developing modern front-end applications using JavaScript frameworks, and will be comfortable deploying solutions into Azure or AWS environments while maintaining high standards of code quality, security, observability, and operational reliability. Key Responsibilities - Provide comprehensive end-to-end design, development, and advanced technical troubleshooting for enterprise-level web applications, from initial discovery through long-term operational ownership. - Develop secure, high-performance backend services using .NET Core and ASP.NET Web API, applying strong object-oriented design, clean architecture principles, and proven enterprise patterns. - Design and implement scalable architecture patterns — including microservices, service-oriented designs, and event-driven workflows — that support the demands of growing, distributed user bases. - Build modern, responsive front-end applications using Angular, React, or similar frameworks, ensuring excellent user experience, accessibility, and performance across browsers and devices. - Develop and optimize relational database schemas, stored procedures, indexes, and complex queries in SQL Server, with attention to performance, locking behavior, and long-term maintainability. - Produce thorough architecture and technical design documentation, ensuring alignment with performance, security, compliance, and operational standards of the enterprise. - Participate in system design discussions and ensure that development consistently aligns with enterprise architecture constraints, technology road-maps, and platform standards. - Implement robust authentication and authorization mechanisms using OAuth2, OpenID Connect, JWT, and modern identity management services such as Azure AD or Okta. - Contribute to CI/CD pipeline integration, automated builds, infrastructure-as-code practices, and reliable deployment processes across development, staging, and production environments. - Perform thorough root-cause analysis and methodically troubleshoot production issues, working to restore service quickly while ensuring long-term operational stability. - Identify technical debt, performance bottlenecks, and architectural gaps, and proactively propose and implement well-scoped improvements with measurable benefits. - Collaborate fully in Agile/Scrum environments — including planning, daily standups, demos, and retrospectives — to deliver incremental, high-quality releases on a predictable cadence. - Maintain comprehensive documentation of systems, APIs, integration workflows, and operational runbooks so that the team can scale and onboard new engineers efficiently. Required Qualifications - Bachelor’s degree in Computer Science, Engineering, or a closely related technical discipline. - Five or more years of professional software development experience building production-grade enterprise applications. - Strong understanding of object-oriented programming principles, data structures, design patterns, and end-to-end system design. - Advanced proficiency in C#, .NET Core, and ASP.NET Web API, including familiarity with dependency injection, async/await patterns, and middleware design. - Hands-on experience developing front-end applications using Angular, React, or similar component-driven frameworks. - Strong SQL skills with deep, hands-on experience working with SQL Server, including stored procedures, query plans, and performance tuning. - Solid experience with CI/CD tooling and Git-based version control systems, including branching strategies and release workflows. - Hands-on experience deploying applications to Azure or AWS cloud environments, including managed services and identity integration. - Strong debugging, troubleshooting, and performance optimization skills, with the ability to investigate complex production issues calmly and effectively. - Experience working in large enterprise-scale environments where reliability, security, and audit-ability are first-class concerns. Preferred Qualifications - Practical experience designing and operating microservices architectures in production. - Familiarity with Docker, Kubernetes, and container-based deployment patterns. - Exposure to distributed system design principles, including eventual consistency, idempotency, and circuit breakers. - Experience implementing automated testing frameworks across unit, integration, and end-to-end levels. - Working knowledge of Azure DevOps or similar DevOps platforms for pipeline orchestration and release management.

• Own end-to-end inference performance across the platform, with clear responsibility for latency, throughput, and reliability targets • Lead the architecture and design of core inference systems, including request routing, async execution, queuing, GPU scheduling, and result delivery • Drive the platform toward sub-1 second inference where feasible, identifying bottlenecks across networking, services, storage, and GPU execution • Make high-impact architectural decisions with performance, scalability, and operational simplicity as first-class concerns • Partner with ML and model teams to ensure models are production-ready from a performance perspective (cold starts, batching, memory usage, concurrency) • Define performance budgets, SLAs, and success metrics, and ensure they are measured, visible, and actively improved • Lead deep-dive investigations into latency spikes, throughput degradation, and system-level performance issues • Influence and mentor engineers across teams on performance engineering, distributed systems thinking, and operational excellence • Improve tooling, observability, and profiling capabilities to make performance issues easier to detect and reason about • Advocate for pragmatic engineering best practices around testing, benchmarking, rollouts, and documentation

Role Description We’re looking for a Staff Engineer to take technical ownership of latency, throughput, and reliability across Runware’s AI inference platform. This is a senior technical leadership role for someone who obsesses over performance at scale, from request ingress through GPU execution to result delivery, and who can consistently turn ambitious targets such as sub-one-second inference into production reality. As a Staff Engineer, you will define and drive the architecture, standards, and execution needed to make Runware one of the fastest and most reliable inference platforms in the market. You will work deeply across backend services, distributed systems, GPU workloads, and infrastructure, partnering closely with product, ML, and platform teams. This role is ideal for someone who enjoys operating at the intersection of systems design, performance engineering, and real-world scale, and who wants clear ownership over outcomes that matter directly to customers. - Own end-to-end inference performance across the platform, with clear responsibility for latency, throughput, and reliability targets - Lead the architecture and design of core inference systems, including request routing, async execution, queuing, GPU scheduling, and result delivery - Drive the platform toward sub-1 second inference where feasible, identifying bottlenecks across networking, services, storage, and GPU execution - Make high-impact architectural decisions with performance, scalability, and operational simplicity as first-class concerns - Partner with ML and model teams to ensure models are production-ready from a performance perspective (cold starts, batching, memory usage, concurrency) - Define performance budgets, SLAs, and success metrics, and ensure they are measured, visible, and actively improved - Lead deep-dive investigations into latency spikes, throughput degradation, and system-level performance issues - Influence and mentor engineers across teams on performance engineering, distributed systems thinking, and operational excellence - Improve tooling, observability, and profiling capabilities to make performance issues easier to detect and reason about - Advocate for pragmatic engineering best practices around testing, benchmarking, rollouts, and documentation Qualifications - Excellent experience in software engineering, with a strong focus on backend and systems development (PHP, Python, Go, Rust, or similar) - Proven experience building and operating high-performance, low-latency distributed systems in production - Deep understanding of asynchronous processing, queues, concurrency models, and back pressure - Strong intuition for performance trade-offs across CPU, GPU, networking, storage, and application layers - Experience making and defending critical architectural decisions in complex systems - Hands-on experience troubleshooting real production issues under load (latency, saturation, cascading failures) - Familiarity with modern cloud infrastructure, CI/CD, and observability stacks (metrics, tracing, profiling) - Ability to communicate clearly and influence across teams in a remote-first environment - Strong mentorship mindset and a desire to raise the technical bar across the organisation Requirements - Experience working on AI/ML inference platforms, GPU-backed workloads, or performance-critical compute systems - Knowledge of model optimisation techniques (batching, quantisation, warm-starts, memory management) - Experience with infrastructure-as-code and DevOps practices - Background in startups or fast-paced environments where speed, ownership, and pragmatism matter - Prior ownership of latency or throughput SLOs at scale Benefits - Generous paid time off – vacation, sick days, public holidays - Meaningful stock options – share in the upside you create - Remote-first setup – work from home anywhere we can employ you - Flexible hours – own your schedule outside core collaboration blocks - Family leave – paid maternity, paternity, and caregiver time - Company retreats – twice-yearly gatherings in inspiring locations