Experienced Software Developer

Roles and Responsibilities:

As an Experienced Software Developer, your responsibilities will include:

• Recognizing, articulating, and making technical decisions / trade-offs around multiple dimensions (scaling, reliability, performance, maintenance, etc.) that have an impact on your team.
• Designing, developing, testing, debugging, and maintaining high-quality software applications and cloud-native services.
• Building scalable, fault-tolerant solutions on Microsoft Azure using modern cloud architecture and engineering best practices.
• Designing and implementing microservices, REST APIs, and distributed systems that support enterprise-scale applications.
• Developing AI-enabled solutions by integrating Large Language Models (LLMs) into enterprise applications while evaluating trade-offs between performance, cost, latency, and model capabilities.
• Designing Retrieval-Augmented Generation (RAG) solutions and leveraging GraphRAG techniques to improve contextual accuracy and knowledge retrieval.
• Implementing AI orchestration frameworks and agent-based architectures using technologies such as Semantic Kernel, AI Foundry, Microsoft Agent Framework (MAF), Model Context Protocol (MCP), and Agent2Agent (A2A).
• Applying prompt engineering techniques, tool calling, and agent orchestration to build intelligent, production-ready AI applications.
• Working with graph technologies and applying knowledge graph and ontology concepts to enhance AI-driven solutions.
• Delivering software on time while providing accurate estimates and consistently meeting delivery commitments.
• Understanding and proactively following team processes, engineering best practices, documentation standards, and code quality guidelines.
• Being persistent in resolving technical challenges, collaborating with cross-functional teams when necessary to drive solutions.
• Providing technical support for products, including troubleshooting complex customer issues and production escalations.
• Communicating technical designs through architecture documentation, design reviews, and technical presentations.
• Providing thoughtful feedback during code reviews, architecture discussions, and engineering design sessions.
• Continuously expanding knowledge of modern software engineering practices, cloud technologies, AI frameworks, and emerging industry trends.
• Mentoring junior developers by providing technical guidance, coaching, and support to help them grow professionally.
• Taking an active role in recruiting, interviewing, and onboarding new engineering talent.

Required Skills:

• Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Mathematics, Physics, Electrical, Mechanical, or Chemical Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of professional software development experience building enterprise applications using object-oriented programming languages such as C#, .NET, C++, or JavaScript.
• Demonstrated ownership of medium-to-large engineering initiatives from design through deployment with minimal supervision.
• Strong experience designing and building microservices, REST APIs, and distributed systems.
• Experience developing cloud-native applications on Microsoft Azure (AWS or Google Cloud experience is also valuable).
• Strong understanding of SQL and NoSQL databases and designing scalable data architectures.
• Experience working with Large Language Models (LLMs) and understanding the trade-offs between model capability, latency, scalability, and operational cost.
• Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) solutions.
• Experience with AI standards and frameworks such as Model Context Protocol (MCP), Agent2Agent (A2A), Semantic Kernel, Microsoft AI Foundry, or Microsoft Agent Framework (MAF).
• Experience with graph technologies, including GraphRAG, graph databases, knowledge graphs, ontologies, and semantic data modeling concepts to support AI-driven solutions.
• Experience evaluating AI outputs, including automated testing, validation, and quality measurement techniques.
• Experience building and integrating enterprise AI applications using Kubernetes, Docker, CI/CD, and DevOps best practices.
• Experience working in Agile/Scrum environments with Infrastructure as Code (IaC) and modern cloud-native development practices.
• Excellent communication, collaboration, and problem-solving skills with the ability to explain complex technical concepts to both technical and non-technical audiences.

Benefits:

Competitive salary; 20 vacation days with increase for time served; high quality healthcare; 401(k) with 6% employer match; FSA and supplemental insurance; paid parental leave; 3 days paid volunteering; summer Fridays; flexible lifestyle benefits (fitness/tuition reimbursement).

USA benefits include: flex work hours, 20 days PTO rising to 25 with service, three paid volunteering days, primary and secondary parental leave, well-being support, medical, dental, vision, and 401K.

Specific benefits vary by country, but packages are similarly comprehensive.

Salary Range:

$124,200.00 - $236,900.00. This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training.

R&D at AVEVA:

Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the center of our strategy, and we have over 150 patents to our name. Our track record of innovation is no fluke. It is the result of a structured and deliberate focus on learning, collaboration, and inclusivity. If you want to build applications that solve big problems and do impactful work, join us!

Hybrid Working:

We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process.

Hiring Process:

Interested? Great! Get started by submitting your cover letter and CV through our application portal. AVEVA is committed to recruiting and retaining people with disabilities. Please let us know in advance if you need reasonable support during your application process.

Background Checks:

AVEVA requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.

Equal Opportunity:

AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis.