EPIND Epicor India

Principal Software EngineerApplyremote type: Hybridlocations: UK, Peterborough: UK, Bracknelltime type: Full timeposted on: Posted Todayjob requisition id: JR105037We are looking for a Principal Software Engineer to join a small, highly experienced Epicor Labs team that transforms innovative AI concepts into enterprise-grade products trusted by enterprise customers.This is a hands-on engineering role , not a management position. You will design and build, set the technical bar for production quality, and provide the architectural judgement needed to take AI-driven products from promising prototype to something enterprise customers can trust with their business data. What you'll do As a Principal Engineer, you'll play a key role in designing and delivering the next generation of AI capabilities across Epicor's ERP portfolio. PoCs and MVPs in AI transformation projects inside enterprise ERP software - rapid exploration of new capabilities, with the engineering discipline to evolve the successful ones into production-grade services. Cloud platform services - designing and building the services, APIs, and data layers that new AI capabilities run on, integrating with large, established ERP products. Production readiness - bringing R&D output up to enterprise standard: reliability, observability, security, multi-tenancy, and safe failure behaviour. AI engineering - integrating LLMs and agentic patterns into business software responsibly: guardrails, permissions, auditability, and designing for the probabilistic nature of AI components acting on real business data. Raising the bar - architectural review across the team's workstreams, mentoring engineers at all levels, and turning good judgement into standards and automation rather than tribal knowledge. What you are likely to bring: Principal-level engineering depth in C#/.NET and/or Python, with cloud platforms (Azure preferred), and a strong record of designing and shipping production services. Our systems span both stacks - strength in one with working fluency in the other is the expectation. Production TypeScript/JavaScript frontend engineering experience, including building secure, accessible user interfaces that integrate with enterprise web shells, APIs and backend services. Experience designing and integrating enterprise information systems, with a strong understanding of data flows, system boundaries and the operational impact of change. Ability to work effectively with data scientists and other AI specialists to turn data, models and experimentation into reliable, usable product capabilities. Production ownership experience - you have run systems in production and carry the instincts that come from it: partial failure, resilience, blast-radius thinking, and designing for the incident nobody planned. This matters to us more than any specific framework. Distributed-systems fluency: service boundaries, transactional thinking, multi-tenant design, API design and versioning. Strong architectural communication - able to explain, document, and defend design decisions across teams, and to review others' designs constructively. Pragmatism under real-world constraints: comfortable integrating with large, long-lived enterprise systems and choosing the achievable-good over the theoretical-perfect. Highly desirable: Hands-on exposure to AI-assisted engineering - building with LLM APIs, agentic coding tools, and prompt-driven workflows, and a grounded view of where they help and where they don't. Experience taking early-stage products (PoC/MVP) to production, ideally in enterprise software. AWS experience. Complex business-domain experience - ERP, e-commerce, finance, logistics - and an appreciation of the cost of getting business data wrong. Security instincts: least privilege, tenancy isolation, trust boundaries. What success looks like Within your first 3 months, you'll: Deliver production-quality code Own components from design through implementation Contribute architectural improvements across the team Within 6-12 months, you'll: Lead the design of major platform capabilities Become a trusted technical leader and architectural reference point Mentor engineers and help raise engineering standards across Epicor Labs About Epicor Labs: Epicor Labs is the innovation engine behind AI transformation across Epicor's ERP portfolio.Our team explores new ideas, rapidly prototypes solutions, and turns successful concepts into production-ready capabilities before handing them over to product engineering teams.We're a small, senior team with: High autonomy Minimal bureaucracy Fast decision-making Strong engineering standards A collaborative culture where the best ideas win, regardless of titleYou'll work alongside experienced architects, product managers, UX designers, and AI specialists to solve challenging technical problems with real customer impact. Technology: C# / .NET Python Azure TypeScript / JavaScript REST & GraphQL APIs Relational & document databases GitHub with CI/CD pipelines LLM APIs AI-assisted development tools

Epicor Labs is seeking a Principal Software Engineer to design and build enterprise-grade AI-enabled features across Epicor's ERP products. This hands-on role emphasizes production-grade services, cloud platforms, and collaboration with data scientists to leverage AI responsibly. You will own design choices, drive architectural decisions, and mentor peers while delivering PoCs, MVPs, and scalable platform capabilities in a hybrid UK-based environment.

Epicor Labs is seeking a Principal Software Engineer to design and build enterprise-grade AI-enabled features across Epicor's ERP products. This hands-on role emphasizes production-grade services, cloud platforms, and collaboration with data scientists to leverage AI responsibly. You will own design choices, drive architectural decisions, and mentor peers while delivering PoCs, MVPs, and scalable platform capabilities in a hybrid UK-based environment.

Principal Software EngineerApplyremote type: Hybridlocations: UK, Peterborough: UK, Bracknelltime type: Full timeposted on: Posted Todayjob requisition id: JR105037We are looking for a Principal Software Engineer to join a small, highly experienced Epicor Labs team that transforms innovative AI concepts into enterprise-grade products trusted by enterprise customers.This is a hands-on engineering role , not a management position. You will design and build, set the technical bar for production quality, and provide the architectural judgement needed to take AI-driven products from promising prototype to something enterprise customers can trust with their business data. What you'll do As a Principal Engineer, you'll play a key role in designing and delivering the next generation of AI capabilities across Epicor's ERP portfolio. PoCs and MVPs in AI transformation projects inside enterprise ERP software - rapid exploration of new capabilities, with the engineering discipline to evolve the successful ones into production-grade services. Cloud platform services - designing and building the services, APIs, and data layers that new AI capabilities run on, integrating with large, established ERP products. Production readiness - bringing R&D output up to enterprise standard: reliability, observability, security, multi-tenancy, and safe failure behaviour. AI engineering - integrating LLMs and agentic patterns into business software responsibly: guardrails, permissions, auditability, and designing for the probabilistic nature of AI components acting on real business data. Raising the bar - architectural review across the team's workstreams, mentoring engineers at all levels, and turning good judgement into standards and automation rather than tribal knowledge. What you are likely to bring: Principal-level engineering depth in C#/.NET and/or Python, with cloud platforms (Azure preferred), and a strong record of designing and shipping production services. Our systems span both stacks - strength in one with working fluency in the other is the expectation. Production TypeScript/JavaScript frontend engineering experience, including building secure, accessible user interfaces that integrate with enterprise web shells, APIs and backend services. Experience designing and integrating enterprise information systems, with a strong understanding of data flows, system boundaries and the operational impact of change. Ability to work effectively with data scientists and other AI specialists to turn data, models and experimentation into reliable, usable product capabilities. Production ownership experience - you have run systems in production and carry the instincts that come from it: partial failure, resilience, blast-radius thinking, and designing for the incident nobody planned. This matters to us more than any specific framework. Distributed-systems fluency: service boundaries, transactional thinking, multi-tenant design, API design and versioning. Strong architectural communication - able to explain, document, and defend design decisions across teams, and to review others' designs constructively. Pragmatism under real-world constraints: comfortable integrating with large, long-lived enterprise systems and choosing the achievable-good over the theoretical-perfect. Highly desirable: Hands-on exposure to AI-assisted engineering - building with LLM APIs, agentic coding tools, and prompt-driven workflows, and a grounded view of where they help and where they don't. Experience taking early-stage products (PoC/MVP) to production, ideally in enterprise software. AWS experience. Complex business-domain experience - ERP, e-commerce, finance, logistics - and an appreciation of the cost of getting business data wrong. Security instincts: least privilege, tenancy isolation, trust boundaries. What success looks like Within your first 3 months, you'll: Deliver production-quality code Own components from design through implementation Contribute architectural improvements across the team Within 6-12 months, you'll: Lead the design of major platform capabilities Become a trusted technical leader and architectural reference point Mentor engineers and help raise engineering standards across Epicor Labs About Epicor Labs: Epicor Labs is the innovation engine behind AI transformation across Epicor's ERP portfolio.Our team explores new ideas, rapidly prototypes solutions, and turns successful concepts into production-ready capabilities before handing them over to product engineering teams.We're a small, senior team with: High autonomy Minimal bureaucracy Fast decision-making Strong engineering standards A collaborative culture where the best ideas win, regardless of titleYou'll work alongside experienced architects, product managers, UX designers, and AI specialists to solve challenging technical problems with real customer impact. Technology: C# / .NET Python Azure TypeScript / JavaScript REST & GraphQL APIs Relational & document databases GitHub with CI/CD pipelines LLM APIs AI-assisted development tools

Overview As a System Ops Analyst, you will be responsible for installing and maintaining infrastructure services and contributing to the infrastructure improvement programme. You will work closely with our Security, Networking, Development and Endpoint Operations teams. Responsibilities Provide support of IT Infrastructure - Windows Systems & Applications. Ensure adherence to group security and compliance policies. Research problems and issues, gather information from a range of physical and informational sources, review defects on platform or assembly in order to gain a complete understanding of the problem and all relevant circumstances. Manage or work as part of a team on Infrastructure improvement projects. Required Skills & Experience Install, configure, administer, maintain & support Microsoft Windows Server Operating systems (all versions). Experience with a variety of IT administration & management frameworks. Experience in Active Directory & PowerShell, DNS, DHCP, VLANs, MS 365 Administration and Azure AD. Microsoft Exchange (hybrid) and SQL. Microsoft Endpoint Configuration Manager / Tanium. Hyper V and VMware including ESXi installation, configuration and management. Backup and Recovery - Veeam. Linux experience advantageous. Administration skills for Cloud platforms. Knowledge of HPE hardware including servers, storage and storage fabric. 3+ years applicable experience and demonstrated success/knowledge. Bachelor's degree preferred. Compensation Salary: Up to €51,000 per annum, depending on experience, skills, and qualifications. We offer a competitive total rewards package, with compensation determined based on the successful candidate's experience and the requirements of the role. Benefits Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well being. Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally. Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development. Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development. Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership. Work Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect. Global Mobility: Comprehensive support for international relocations and permanent residency processes. Equal Opportunity Employer Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you-that's who we're interested in. If you have interest in this or any role but your experience doesn't match every qualification of the job description, that's okay-consider applying regardless. We are an equal opportunity employer.

Epicor is seeking a System Ops Analyst to install, maintain, and improve IT infrastructure services. You will collaborate with Security, Networking, Development and Endpoint Operations teams to ensure stable operations and compliance across Windows systems and cloud platforms. The role requires hands-on experience with Windows Server, AD/PowerShell, Hyper-V/VMware, Veeam and hybrid Exchange, with a focus on reliability and security. 3+ years in IT ops preferred.

Senior Data & Integration Engineer (AI Platforms & Salesforce Ecosystem) Overview We are seeking a Senior Data & Integration Engineer to design, build, and scale AI-driven products and data integrations across our platform, with Salesforce as a key system within a broader ecosystem. This is not a traditional Salesforce development role - the focus is on integrating systems, enabling data flow, and supporting AI-native applications. This role combines backend engineering, data engineering, and AI integration. You will work across systems to deliver scalable, reliable, and observable solutions that power both internal and customer-facing products. Key Responsibilities Design and build scalable backend services (primarily Python) to support AI-driven products and integrations Develop and maintain integrations between Salesforce and other enterprise systems (e.g., Workday, ServiceNow, financial platforms) Build and optimise ETL pipelines, data workflows, and event-driven architectures Enable AI/ML use cases by supporting data pipelines, retrieval systems (RAG), and embedding workflows Integrate AI capabilities into complex workflows with a focus on reliability, auditability, and performance Collaborate with Product, Data, and Engineering teams to translate business problems into scalable technical solutions Implement observability (logging, metrics, tracing) and ensure production-grade reliability Contribute to architecture decisions across data, integration, and AI platforms Mentor junior engineers and promote engineering best practices Required Skills & Experience Strong backend engineering experience (Python preferred) Proven experience in data engineering: SQL, ETL pipelines, and large-scale data processing Hands on experience integrating SaaS platforms (Salesforce experience required, but not limited to internal platform development) Experience working with APIs, microservices, and event driven architectures Exposure to modern data stacks (Airflow, dbt, Spark, or similar) Experience with cloud platforms (Azure preferred) Familiarity with AI/ML systems, including GenAI tooling (RAG, embeddings, evaluation frameworks) Strong understanding of system design, scalability, and observability Desirable Skills Experience with vector databases and data retrieval systems Exposure to machine learning workflows or data science collaboration Frontend experience (React/Angular) for full stack contributions Experience optimizing performance, latency, and cost in AI systems The ideal candidate will Be comfortable working across multiple systems and data environments Have strong SQL and data pipeline experience Be able to integrate Salesforce into a wider architecture (not build exclusively within it) Bring curiosity and adaptability across AI, data, and engineering domains Competitive Pay & Benefits Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well being Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally Career Development: Free LinkedIn Learning licenses for everyone, along with our mentoring program to boost your personal development Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership Work Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect Global Mobility: Comprehensive support for international relocations and permanent residency processes Equal Opportunities and Accommodations Statement Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you-that's who we're interested in. If you have interest in this or any role-but your experience doesn't match every qualification of the job description-that's okay-consider applying regardless. We are an equal opportunity employer.