
5001 - 10000 employees
Founded 1983
🏗️ Construction
🏭 Manufacturing
📦 Logistics
💰 Secondary Market on 2022-03
Construction • Manufacturing • Logistics
IFS is an enterprise software company providing solutions for various industries, including aerospace and defense, construction and engineering, energy, utilities, and resources, manufacturing, services, and telecommunications. The company offers a wide range of software products, including enterprise asset management, field service management, enterprise resource planning, and solutions leveraging artificial intelligence such as IFS. ai. These solutions are designed to optimize asset lifecycle management, improve customer engagement, and enhance operational efficiencies. IFS Cloud provides a comprehensive platform for digital transformation, helping businesses to harness data and drive insights across their operations.
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5001 - 10000 employees
Founded 1983
🏗️ Construction
🏭 Manufacturing
📦 Logistics
💰 Secondary Market on 2022-03
Construction • Manufacturing • Logistics
IFS is an enterprise software company providing solutions for various industries, including aerospace and defense, construction and engineering, energy, utilities, and resources, manufacturing, services, and telecommunications. The company offers a wide range of software products, including enterprise asset management, field service management, enterprise resource planning, and solutions leveraging artificial intelligence such as IFS. ai. These solutions are designed to optimize asset lifecycle management, improve customer engagement, and enhance operational efficiencies. IFS Cloud provides a comprehensive platform for digital transformation, helping businesses to harness data and drive insights across their operations.
• Lead the design, architecture, and implementation of scalable APIs, services, and accessibility-first user interfaces • Deliver AI-native features across carbon accounting, ESG data collection, and sustainability planning • Evolve the platform into modular, event-driven, API-first components • Make engineering trade-offs around scalability, maintainability, performance, and product impact • Own reliability and operational excellence, including telemetry, SLOs, error budgets, on-call rotations, incident response, and continuous service improvement • Champion DevOps practices, including CI/CD, deployment automation, monitoring, and application-level operations • Collaborate with Platform Engineers in a lean DevOps shared service model • Mentor engineers and promote engineering best practices • Champion code quality, documentation, automated testing, performance, security, and maintainability • Own the quality and production readiness of deliverables • Partner with Product Management, Design, AI, Platform Engineering, and engineering teams on discovery, trade-offs, and delivery • Solve customer pain points with elegant, scalable engineering solutions • Identify technical risks, performance bottlenecks, and opportunities to improve platform architecture and engineering practices
• Strong experience in full stack software engineering across front-end and back-end development • Experience with modern front-end technologies, particularly React or similar frameworks • Strong back-end engineering experience, ideally including GoLang or comparable general-purpose programming languages • Experience designing and building scalable APIs, services, and cloud-native applications • Strong understanding of DevOps practices, including CI/CD, deployment, monitoring, automation, and incident response • Experience delivering secure, observable, high-quality production software • Focus on code quality, automated testing, documentation, performance, and maintainability • Ability to lead technical design discussions and influence architectural decisions • Effective collaboration and communication across Product, Design, Platform, and Engineering teams • Ownership mindset with accountability from design through production • Experience with Azure, AWS, or GCP desirable • Experience with event-driven architectures, distributed systems, or microservices desirable • Experience with relational databases such as PostgreSQL desirable • Experience working in cross-functional product teams desirable • Experience mentoring engineers or contributing to engineering standards desirable • Experience with AI-enabled, data-intensive, sustainability, carbon intelligence, ESG reporting, or enterprise SaaS products desirable • Familiarity with sustainability frameworks and standards such as GHG Protocol, CSRD, or SBTi desirable • Familiarity with observability, reliability engineering, SLOs, error budgets, and production incident management desirable
• Remote work flexibility • Hybrid work opportunities • Inclusive workplace experiences • Opportunity to work in a global, diverse environment • Commitment to sustainability • AI-driven solutions and technology-focused work environment
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