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1 point system

AI Solution Architect

New York, NY · Remote

Proficiency in modern front-end frameworks (React, Angular, or Vue), relational databases, and cloud platforms (Azure, AWS, or GCP), CI/CD SLDC * Strong understanding of event-driven architectures ...

Diverse Lynx

Content Copywriter Specialist

Orlando, FL · On-site

... SLDC through the various lifecycle stages from business need through design and delivery, ensuring that goals or objectives are met according to the business need. • Provide User Support and ...

Icmarc

Expert DevSecOps Engineer

Washington, DC · On-site

$128K - $205K/yr

Understanding of OWASP, CVSS, the MITRE ATT&CK framework and the software development lifecycle (SLDC) * Preferred Certifications: CISSP, GIAC (GCSA, GWAPT), AWS (SSA) To benefit your career and ...

Coastal

Solution Architect (HLS)

$64.50 - $85/hr

Previous experience with software development life cycle (SLDC), Agile or Hybrid preferred * Ability to create entity relationship and object relationship diagrams to demonstrate design concepts and ...

Allvue Systems

Software Engineer lll

Coral Gables, FL · On-site

Drive implementation of AI tooling as part of the SLDC Process. Technical Problem Solving & System Optimization * Diagnose and resolve application performance issues, integration challenges, and ...

Leidos

Junior Manual Test Engineer

Annapolis, MD · On-site

$69K - $125K/yr

Experience/familiarity with the software development lifecycle (SLDC) and basic testing concepts (test cases, test plans, defect tracking, regression testing, etc.). * Experience in software testing ...

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How much do sldc jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for sldc in the United States is $22.12, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $23.08 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Software Development Life Cycle (SDLC) Specialist, and why are they important?

To thrive as an SDLC Specialist, you need a deep understanding of software development methodologies, project management, and quality assurance, often supported by a degree in computer science or a related field. Familiarity with tools like JIRA, Git, CI/CD pipelines, and knowledge of Agile or Waterfall frameworks is typically required. Strong analytical skills, effective communication, and attention to detail help you coordinate teams and ensure processes run smoothly. These skills and qualities are crucial for delivering high-quality software efficiently and minimizing project risks.

What are some common challenges faced by professionals working in a Software Development Life Cycle (SDLC) role, and how can they be addressed?

Professionals involved in the SDLC often face challenges such as communication gaps between cross-functional teams, managing changing project requirements, and ensuring timely delivery while maintaining quality. These challenges can be addressed by adopting agile methodologies, using robust project management tools, and promoting regular collaboration among developers, testers, and stakeholders. Clear documentation and continuous feedback loops also help in aligning the team's efforts and adapting to changes efficiently.

What is the Software Development Life Cycle (SDLC)?

The Software Development Life Cycle (SDLC) is a structured process used by developers and project managers to design, develop, test, and deploy software applications. It consists of several phases, typically including planning, analysis, design, implementation, testing, deployment, and maintenance. SDLC helps ensure that software is developed systematically, meets user requirements, and is delivered on time and within budget. By following SDLC methodologies, organizations can improve the quality and efficiency of their software development projects.

What is the difference between Sldc vs Sldc?

AspectSldc

Since the comparison is between the same job title, Sldc vs Sldc, there is no difference. Typically, Sldc refers to a Software License Development Consultant or a similar role in the tech industry, focusing on software licensing, compliance, and development. Both terms represent the same position, requiring similar credentials, work environment, and industry usage. When searching or comparing, ensure clarity on specific company or regional terminology, but generally, Sldc vs Sldc indicates the same role.

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What states have the most Sldc jobs? States with the most job openings for Sldc jobs include:
What job categories do people searching Sldc jobs look for? The top searched job categories for Sldc jobs are:
Sldc jobs near you
Infographic showing various Sldc job openings in the United States as of May 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 46% Physical, 3% Hybrid, and 51% Remote job distribution, with an average salary of $46,013 per year, or $22.1 per hour.

AI Solution Architect

1 point system

New York, NY • Remote

Contractor

Posted 27 days ago

Job description

Key Responsibilities

We are actively seeking a highly experienced and versatile Senior Technology Lead. We are seeking a highly experienced Senior Technology Lead to drive end-to-end delivery of large-scale, business-critical software solutions for leading global financial institutions. This role offers a unique blend of hands-on technical leadership (60%) and strategic mentorship/client engagement (40%). You will lead cross-functional development teams, architect innovative solutions, build and present Proof-of-Concepts, and champion the adoption of modern technologies including AI/GenAI across risk, audit, and capital markets domains.

Key Responsibilities

Technical Leadership & Architecture

  • Lead cross-functional development teams in designing, building, and delivering enterprise-scale software platforms for financial services clients
  • Own end-to-end technical delivery: requirements analysis, architecture design, hands-on development, code reviews, and post-production support
  • Conduct design reviews, drive architectural decisions, and establish engineering best practices across teams
  • Design and implement scalable systems using modern patterns (microservices, event-driven architecture, cloud-native design)

Innovation & AI/GenAI Solutions

  • Build and present Proof-of-Concepts (PoCs) for AI, machine learning, and generative AI solutions tailored to client challenges in risk, audit, and capital markets
  • Drive the architecture and development of AI/LLM-based solutions and modern data pipelines
  • Make informed technology decisions (build vs. buy) backed by research and prototyping

Client Engagement & Delivery Excellence

  • Translate complex business requirements into scalable technical solutions; engage with financial services executives on technology strategy
  • Ensure solutions align with client business needs, regulatory requirements, and operational constraints
  • Balance delivery timelines, quality standards, and team capacity while maintaining a delivery-focused culture

Team Mentorship

  • Mentor senior engineers and development teams, fostering collaboration, skill development, and best practices
  • Build reusable components and maintain rigorous documentation standards

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 15+ years of hands-on software development experience with proven expertise across full stack (front-end, back-end, data)
  • 5+ years leading large and mentoring teams through large -scale digital transformations across software, data and AI
  • Deep expertise in .NET ecosystem (C#, ASP.NET Core, Entity Framework/Dapper ORM, SQL Server)
  • Proficiency in modern front-end frameworks (React, Angular, or Vue), relational databases, and cloud platforms (Azure, AWS, or GCP), CI/CD SLDC
  • Strong understanding of event-driven architectures, microservices, caching strategies, and messaging solutions (e.g., Solace, SignalR, Apache Ignite), Cloud migration strategy and architecture patterns
  • Hands-on experience designing and building AI/ML and GenAI solutions, with ability to architect scalable data pipelines
  • Domain familiarity with financial services, risk technology, audit, or capital markets operations
  • Agile expertise: proven experience with Scrum/Kanban, Jira, Confluence, Test Driven Development (TDD, Automated Testing and collaborative development practices
  • Excellent communication skills: ability to present technical solutions to both technical teams and executive stakeholders

Preferred Qualifications

  • Hands-on knowledge of legacy system analysis and modern platform rewrites
  • Familiarity with regulatory and compliance requirements in financial services