Senior Software Engineer, Full Stack

About Us VentureOne is not just a company; it is an innovation hub, a hotbed of creativity, and a place where groundbreaking ideas become reality. Our team is a diverse mix of visionaries, strategists, and go-getters, all united by a shared mission: to redefine industries and pave the way for success, both locally and globally. About The Role We are looking for a Senior Full Stack Engineer to join the VentureOne Foundry team. This team takes new venture ideas from ideation to MVP, customer validation, and early product scale. This is a hands on technical leadership role for an engineer who can operate in ambiguity, design real systems, build quickly, and guide others. The Senior Full Stack Engineer will help turn early venture opportunities into working products by designing full stack architectures, building reliable services, creating reusable foundations, and making sure MVPs are strong enough for real customer validation. The role requires deep software engineering experience across front end, back end, APIs, databases, cloud infrastructure, integrations, security, observability, and product delivery. Key Responsibilities • Lead the technical design and development of full stack products, MVPs, prototypes, internal tools, and customer-facing applications. • Translate ambiguous business opportunities into technical architecture, delivery milestones, data models, API contracts, and implementation plans. • Design and build front-end applications using modern frameworks such as React, Next.js, TypeScript, or similar technologies. • Design and build back-end services using technologies such as Node.js, Python, Java, or similar production-grade stacks. • Define service boundaries, API contracts, database schemas, authentication flows, authorization models, and integration patterns. • Build secure and scalable APIs using REST, GraphQL, OpenAPI, webhooks, event-driven patterns, and asynchronous processing where needed. • Work with relational and non-relational databases such as PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, or vector-enabled stores. • Design systems that include proper logging, tracing, metrics, audit trails, error handling, retry logic, rate limiting, and operational dashboards. • Build applications that can integrate with internal platforms, third-party APIs, AI services, payment systems, identity providers, government systems, and enterprise systems. • Own technical decisions around scalability, reliability, latency, data consistency, security, maintainability, and cost. • Build reusable engineering foundations such as starter kits, shared components, service templates, deployment templates, API standards, and reference architectures. • Partner with Staff AI Engineers to integrate AI capabilities into complete products, including RAG flows, agents, AI-powered workflows, document processing, and human review experiences. • Guide engineers through architecture reviews, code reviews, test planning, production readiness, and incident learning. • Help define engineering standards for CI/CD, automated testing, environment management, secrets management, release management, and cloud deployment. • Support customer validation by rapidly improving MVPs based on feedback, usage data, performance insights, and operational issues. • Contribute to hiring, technical assessment, mentoring, and engineering capability building. Minimum Qualifications • Strong experience building and scaling production software products as a full stack engineer, platform engineer, or technical lead. • Proven ability to lead the technical direction of complex systems with multiple stakeholders and ambiguous requirements. • Strong front-end experience with React, Next.js, TypeScript, component libraries, state management, forms, accessibility, and performance optimization. • Strong back-end experience with Node.js, Python, Java, or similar technologies, including service design, API development, background jobs, and integration logic. • Strong understanding of system design, distributed systems, data modeling, caching, queues, event-driven architectures, idempotency, concurrency, and failure handling. • Experience designing authentication and authorization using OAuth 2.0, OIDC, SSO, RBAC, ABAC, JWT, service accounts, and secure session management. • Experience with databases, indexing strategies, migrations, transactions, query optimization, and data lifecycle management. • Experience deploying and operating applications on AWS, Azure, GCP, or private cloud environments. • Experience with Docker, Kubernetes, serverless platforms, CI/CD pipelines, infrastructure as code, monitoring, and alerting. • Good understanding of secure software development, OWASP risks, secrets management, data privacy, encryption, auditability, and compliance requirements. • Strong experience writing automated tests, including unit, integration, API, contract, and end-to-end tests. • Ability to make practical trade-offs between MVP speed and production readiness. • Strong communication skills with the ability to explain technical decisions, risks, and trade-offs to both technical and non-technical stakeholders. Preferred Qualifications • Experience building MVPs, venture products, innovation platforms, or early stage products that later scaled. • Experience with AI enabled applications, LLM APIs, RAG, agents, workflow automation, copilots, document processing, or AI assisted operations. • Experience with regulated domains such as government, fintech, identity, real estate, health, or enterprise platforms. • Experience building reusable platforms, internal developer tools, design systems, templates, and accelerators. • Experience working directly with customers to validate product direction and improve user experience. • Experience with event streaming, message queues, workflow engines, search platforms, analytics platforms, or data pipelines. • Experience designing systems with strong audit requirements, tenant isolation, role based access, and operational governance. We provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative and inclusive work environment. Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events.Join us to drive innovation and shape the future of technology! How To Apply Are you ready to embark on an exciting journey with VentureOne? If you're a visionary with a passion for innovation, we want to hear from you. To apply, please send your resume detailing your relevant experience and why you're the perfect fit for this role. At VentureOne, we believe that diverse perspectives drive innovation. We are committed to creating an inclusive and equal opportunity workplace. All qualified applicants will receive equal consideration for employment. Join us in shaping the future of business. Apply today and let's venture into a world of possibilities together!

Strong experience building and scaling production software products as a full stack engineer, platform engineer, or technical lead. Proven ability to lead the technical direction of complex systems with multiple stakeholders and ambiguous requirements. Strong front-end experience with React, Next.js, TypeScript, component libraries, state management, forms, accessibility, and performance optimization. Strong back-end experience with Node.js, Python, Java, or similar technologies, including service design, API development, background jobs, and integration logic. Strong understanding of system design, distributed systems, data modeling, caching, queues, event-driven architectures, idempotency, concurrency, and failure handling. Experience designing authentication and authorization using OAuth 2.0, OIDC, SSO, RBAC, ABAC, JWT, service accounts, and secure session management. Experience with databases, indexing strategies, migrations, transactions, query optimization, and data lifecycle management. Experience deploying and operating applications on AWS, Azure, GCP, or private cloud environments. Experience with Docker, Kubernetes, serverless platforms, CI/CD pipelines, infrastructure as code, monitoring, and alerting. Good understanding of secure software development, OWASP risks, secrets management, data privacy, encryption, auditability, and compliance requirements. Strong experience writing automated tests, including unit, integration, API, contract, and end-to-end tests. Ability to make practical trade-offs between MVP speed and production readiness. Strong communication skills with the ability to explain technical decisions, risks, and trade-offs to both technical and non-technical stakeholders.

Lead the technical design and development of full stack products, MVPs, prototypes, internal tools, and customer-facing applications. Translate ambiguous business opportunities into technical architecture, delivery milestones, data models, API contracts, and implementation plans. Design and build front-end applications using modern frameworks such as React, Next.js, TypeScript, or similar technologies. Design and build back-end services using technologies such as Node.js, Python, Java, or similar production-grade stacks. Define service boundaries, API contracts, database schemas, authentication flows, authorization models, and integration patterns. Build secure and scalable APIs using REST, GraphQL, OpenAPI, webhooks, event-driven patterns, and asynchronous processing where needed. Work with relational and non-relational databases such as PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, or vector-enabled stores. Design systems that include proper logging, tracing, metrics, audit trails, error handling, retry logic, rate limiting, and operational dashboards. Build applications that can integrate with internal platforms, third-party APIs, AI services, payment systems, identity providers, government systems, and enterprise systems. Own technical decisions around scalability, reliability, latency, data consistency, security, maintainability, and cost. Build reusable engineering foundations such as starter kits, shared components, service templates, deployment templates, API standards, and reference architectures. Partner with Staff AI Engineers to integrate AI capabilities into complete products, including RAG flows, agents, AI-powered workflows, document processing, and human review experiences. Guide engineers through architecture reviews, code reviews, test planning, production readiness, and incident learning. Help define engineering standards for CI/CD, automated testing, environment management, secrets management, release management, and cloud deployment. Support customer validation by rapidly improving MVPs based on feedback, usage data, performance insights, and operational issues. Contribute to hiring, technical assessment, mentoring, and engineering capability building.