Experienced Software Developer

Posted Yesterday
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Philadelphia, PA, USA
In-Office
124K-237K Annually
Senior level
Agency • Artificial Intelligence • Cloud • Internet of Things • Software • Automation
The Role
Design, build, test, and maintain cloud-native enterprise software and microservices on Azure. Integrate LLMs and RAG/GraphRAG solutions, apply AI frameworks and prompt engineering, use Kubernetes/Docker and CI/CD, work in Agile teams, mentor engineers, and support production incidents and architecture decisions.
Summary Generated by Built In

AVEVA is creating software trusted by over 90% of leading industrial companies.

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. 

Position: Experienced Software Developer

Qualifications: Experience designing and developing in C#/.NET framework

Employment type: Full-time regular (flexible working options available)

Location: Philadelphia, PA – Hybrid

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)

 

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.

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.

  • 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.

 

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’s 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!

 


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.


It’s possible we’re hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.


Find out more: aveva.com/en/about/careers/benefits/


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.


Find out more: aveva.com/en/about/careers/hiring-process


About AVEVA

AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life – such as energy, infrastructure, chemicals, and minerals – safely, efficiently, and more sustainably.


We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: sustainability-report.aveva.com/


Find out more: aveva.com/en/about/careers/


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.


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.

Skills Required

  • Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Mathematics, Physics, Electrical, Mechanical, Chemical Engineering, or equivalent experience.
  • 5+ years professional software development experience building enterprise applications.
  • Experience designing and developing in C# and .NET framework.
  • Experience with object-oriented languages such as C++, JavaScript.
  • Strong experience designing and building microservices, REST APIs, and distributed systems.
  • Experience developing cloud-native applications on Microsoft Azure.
  • Experience with SQL and NoSQL databases and scalable data architectures.
  • Hands-on experience with LLMs and building AI-enabled solutions, including RAG implementations.
  • Experience with AI standards and frameworks such as MCP, Agent2Agent (A2A), Semantic Kernel, Microsoft AI Foundry, or Microsoft Agent Framework (MAF).
  • Experience with graph technologies: GraphRAG, graph databases, knowledge graphs, ontologies, semantic data modeling.
  • Experience building and integrating enterprise AI applications using Kubernetes, Docker, CI/CD, and DevOps practices.
  • Experience evaluating AI outputs, automated testing, validation, and quality measurement techniques.
  • Experience working in Agile/Scrum environments and with Infrastructure as Code (IaC).
  • Demonstrated ownership of medium-to-large engineering initiatives from design through deployment.
  • Excellent communication, collaboration, problem-solving skills, ability to explain technical concepts to technical and non-technical audiences.
  • Experience mentoring junior developers and participating in recruiting, interviewing, and onboarding.
  • AWS or Google Cloud experience (stated as valuable).

AVEVA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AVEVA and has not been reviewed or approved by AVEVA.

  • Leave & Time Off Breadth Time away from work is positioned as a meaningful part of the rewards mix, including paid time off that can increase with tenure and additional paid volunteering days. This breadth is reinforced by mentions of public holidays and emergency leave as part of the overall time-off offering.
  • Wellbeing & Lifestyle Benefits Wellbeing support appears broad and multi-channel, combining counseling access, coaching resources, and region-specific digital wellbeing tools. Flexible work hours and a hybrid model are also presented as lifestyle-supporting elements within the broader rewards package.
  • Career-Linked Recognition & Rewards Recognition is tied to tenure milestones through a formal program that provides rewards and symbolic recognition. Development-linked rewards also appear through learning access, mentorship, and education reimbursement that connects benefits to skill growth.

AVEVA Insights

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The Company
HQ: Cambridge
6,970 Employees

What We Do

AVEVA is a global leader in industrial software, sparking ingenuity to drive responsible use of the world’s resources. The company’s secure industrial cloud platform and applications enable businesses to harness the power of their information and improve collaboration with customers, suppliers and partners. Over 20,000 enterprises in over 100 countries rely on AVEVA to help them deliver life’s essentials: safe and reliable energy, food, medicines, infrastructure and more. By connecting people with trusted information and AI-enriched insights, AVEVA enables teams to engineer efficiently and optimize operations, driving growth and sustainability. Named as one of the world’s most innovative companies, AVEVA supports customers with open solutions and the expertise of more than 6,400 employees, 5,000 partners and 5,700 certified developers. With operations around the globe, AVEVA is headquartered in Cambridge, UK. Learn more at www.aveva.com

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