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Last checked Nov 4, 2026.
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Upload your resumeWhat it asks of you
- Bachelor's degree asked for
What the posting discloses
- Pay
- $140k to $145k a year USD
Salary Expectations : $140,000-145,000 annually (quoted from the posting)
- AI screening
- Uses AI to screen applicants
Evaluate, prototype, and apply emerging technologies such as generative AI, agentic workflows, retrieval-augmented generation (RAG), cloud-native services, APIs, automation, and data-driven application patterns. (quoted from the posting)
Not stated: Real vacancy.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Skills mentioned
About the role
Diversified Services Network, Inc. (DSN) is seeking a full-time Lead Software Engineer – Emerging Technologies to join our team in your choice of our Chicago, IL; Peoria, IL; Irving, TX; or Broomfield, CO office locations. We offer a hybrid work model, full benefits, PTO, 401k, and more! If you're looking to grow your career within an extremely reputable, stable Fortune 100 company - let's talk!
Position Overview
The Lead Software Engineer in the Emerging Technology group is a hands-on technical leader who designs, builds, pilots, and scales next-generation software solutions that apply emerging technologies to high-value business problems. This role combines deep software engineering expertise with practical innovation, turning exploratory concepts into secure, reliable, maintainable, production-ready capabilities.
Key Responsibilities
- Lead the architecture, design, development, and testing of modern software solutions, prototypes, pilots, and reusable platform capabilities.
- Evaluate, prototype, and apply emerging technologies such as generative AI, agentic workflows, retrieval-augmented generation (RAG), cloud-native services, APIs, automation, and data-driven application patterns.
- Translate business opportunities, product goals, and technical requirements into scalable software designs, solution patterns, technical roadmaps, and implementation plans.
- Mentor engineers, provide technical direction, facilitate design reviews, and promote a culture of experimentation, engineering excellence, and responsible technology adoption.
- Partner with product managers, architects, data scientists, cybersecurity, infrastructure, UX, and business stakeholders to deliver solutions aligned with organizational goals and risk expectations.
- Define and implement technical evaluation methods, including proof-of-concept success criteria, model and system performance measures, quality gates, automated testing, monitoring, and production readiness reviews.
- Identify technical risks, dependencies, integration needs, security considerations, and operational constraints early in the solution lifecycle and recommend practical mitigation strategies.
Requirements
Required Education & Experience
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Technology, or a related technical field AND 8+ years of software engineering experience, OR
- 10+ years of equivalent experience without a degree.
Required Qualifications
- Hands-on development of complex applications, distributed systems, APIs, platforms, or cloud-native services.
- Proven leadership of technical work across the full software development lifecycle (SDLC) using a structured methodology — requirements analysis, architecture, design, coding, testing, and deployment.
- Strong proficiency in one or more modern programming languages such as Python, Java, JavaScript/TypeScript, C#, or Go.
- Ability to convert business and market requirements into secure, scalable, observable, and maintainable software designs using modern architecture patterns, CI/CD, and DevOps practices.
- Experience designing, developing, and maintaining software integrations and interfaces across platforms and third-party packages.
- Ability to design, plan, and execute testing strategies that ensure product quality and adherence to requirements.
- Working knowledge of cloud platforms, containerization, infrastructure automation, and production support practices.
- Strong analytical, critical-thinking, and decision-making skills in ambiguous or rapidly evolving technical environments.
- Ability to communicate complex technical topics clearly to engineering, product, architecture, security, and business audiences.
Preferred Qualifications
- Experience building or integrating AI/ML, large language model (LLM), agentic, RAG, vector database, or prompt-based solutions.
- Experience taking emerging technology concepts from proof of concept through pilot, production hardening, governance review, adoption, and operational support.
- Familiarity with responsible AI practices, model evaluation, guardrails, data privacy, compliance, and enterprise risk management.
- Experience with serverless architectures, Kubernetes, microservices, event-driven architecture, API management, observability platforms, and infrastructure-as-code.
- Track record of identifying high-impact use cases and delivering measurable business outcomes.
- Ability to influence technical direction without direct authority and establish reusable engineering standards, patterns, frameworks, or accelerators.
- Advanced degree; cloud, AI/ML, or software architecture certification; or contributions to technical communities, open-source projects, patents, publications, or innovation initiatives.
Benefits
- 401(k)
- Dental insurance
- Vision Insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Paid Holidays
Please follow the link to our website for a list of job openings in Engineering, IT, Project Management, and more! https://www.dsnworldwide.com
Salary Expectations : $140,000-145,000 annually
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