Jobs in the United States

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Full Stack Software Engineer
Actalent
Raleigh, NC
- $60 to $70 USD / hour
Job Title: Software DeveloperJob DescriptionWe are seeking a talented Software Developer with a focus on backend development (50%) and frontend tasks (50%). The role involves working with a…
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Mechanical Engineer
Actalent
North Canton, OH
- $40 to $45 USD / hour
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Signal Processing Software Engineer
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- $150,000 to $215,000 USD / year
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Data and AI Engineer - July 2027
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Transformation Center Infrastructure Engineer
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AIML - Sr Machine Learning Platform Engineer, Evaluation
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Senior Associate Data Engineering Azure/Databricks Arlington Hybrid
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Diversified Services Network, Inc.

(1119604) Lead Software Engineer - Emerging Technologies

Remote, United States

$140,000 to $145,000 USD / year

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Job details

Pay: $140,000 to $145,000 USD / year
Experience: 10+ years of equivalent experience without a degree.
Posting language: English
Posted: Nov 4, 2026

Original job description

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.

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.
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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More about this job

Skills

Cybersecurity
Test automation
Computer science
Computer engineering
Computer technology
Leadership
Software development
Programming languages
Python
Oracle Java
JavaScript
TypeScript
C#
Go
CI/CD
DevOps
Critical thinking
Decision making
ML
Kubernetes
Microservices
Infrastructure as code
Project management

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