Lead Software Engineer – Emerging Technologies

Diversified Services Network, Inc.

. Lead the architecture, design, development, and testing of modern software solutions, prototypes, pilots, and reusable platform capabilities .

Posted 11/5/2026full-timeUnited StatesSenior💰 $140,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in software architecture, design, and development, with a strong focus on cloud-native services, APIs, and modern programming languages. Proven ability to lead technical teams, mentor engineers, and translate business requirements into scalable software solutions.

Highest-signal resume keywords

Software Development Lifecycle (SDLC)Cloud-Native ServicesPython, Java, JavaScript/TypeScript, C#, GoCI/CD and DevOps PracticesTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software ArchitectureAPI DevelopmentDistributed SystemsAutomationTesting StrategiesData-Driven Application PatternsIntegration and InterfacesEmerging TechnologiesModel EvaluationObservability

Soft Skills

Analytical SkillsCritical ThinkingDecision-MakingCommunication SkillsMentoring

Tools & Technologies

Cloud PlatformsKubernetesMicroservicesEvent-Driven ArchitectureInfrastructure AutomationServerless ArchitecturesObservability PlatformsInfrastructure-as-CodeGenerative AIRetrieval-Augmented Generation (RAG)

Certifications & Qualifications

Cloud CertificationAI/ML CertificationSoftware Architecture Certification

Industry Keywords

Technical DirectionEngineering ExcellenceResponsible AI PracticesData PrivacyEnterprise Risk Management

Tech Stack

Tools & technologies

CloudCyber SecurityDistributed SystemsJavaJavaScriptKubernetesMicroservicesPythonSDLCTypeScriptGo

About the role

Key responsibilities & impact

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 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 mitigation strategies

Requirements

What you’ll need

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
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: Experience building or integrating AI/ML, large language model (LLM), agentic, RAG, vector database, or prompt-based solutions
Preferred: Experience taking emerging technology concepts from proof of concept through pilot, production hardening, governance review, adoption, and operational support
Preferred: Familiarity with responsible AI practices, model evaluation, guardrails, data privacy, compliance, and enterprise risk management
Preferred: Experience with serverless architectures, Kubernetes, microservices, event-driven architecture, API management, observability platforms, and infrastructure-as-code
Preferred: Track record of identifying high-impact use cases and delivering measurable business outcomes
Preferred: Ability to influence technical direction without direct authority and establish reusable engineering standards, patterns, frameworks, or accelerators
Preferred: Advanced degree; cloud, AI/ML, or software architecture certification; or contributions to technical communities, open-source projects, patents, publications, or innovation initiatives

Benefits

Comp & perks

401(k)
Dental insurance
Vision Insurance
Disability insurance
Employee assistance program
Health insurance
Health savings account
Life insurance
Paid time off
Paid Holidays
Hybrid work model