Innovative Solutions
Innovative Solutions

60 Innovative Solutions Full Stack Software Engineer Jobs Hiring Near You

Cloud Engineer- DevOps

Rochester, NY · On-site

$52 - $71.25/hr

Log aggregation and analysis using tools like ELK stack or CloudWatch Logs Insights * Ability to ... Innovative Solutions. While not all certifications are required at hire, you'll be expected to ...

Cloud Architect - Generalist

Rochester, NY · On-site

$64.25 - $81.75/hr

As a Cloud Architect, you'll work directly with customers to architect scalable AWS solutions that ... Full-stack development experience or strong programming skills Why Join Innovative? • Work on ...

AI Data Architect

Rochester, NY · Remote

$65.25 - $84/hr

You'll own the full data stack across a variety of industries and projects: one engagement you're ... level certification (Solutions Architect Professional or Data Engineer Specialty preferred)

Showing results 41-60

Innovative Solutions Jobs Information

What are the key skills and qualifications needed to thrive as a Full Stack Software Engineer, and why are they important?

To thrive as a Full Stack Software Engineer, you need strong proficiency in both front-end (e.g., HTML, CSS, JavaScript) and back-end (e.g., Node.js, Python, Java) development, typically supported by a relevant degree or equivalent experience. Familiarity with frameworks (like React or Angular), version control (such as Git), databases (SQL/NoSQL), and cloud platforms is essential, and certifications like AWS Certified Developer can be beneficial. Problem-solving ability, collaboration, and adaptability are vital soft skills that help engineers navigate complex projects and work effectively in teams. These skills ensure the ability to deliver robust, scalable, and user-friendly applications that meet dynamic business needs.

How do Full Stack Software Engineers typically collaborate with other team members during a development project?

Full Stack Software Engineers often work closely with front-end and back-end developers, UI/UX designers, product managers, and QA testers throughout the software development lifecycle. Collaboration typically involves participating in agile ceremonies such as daily stand-ups, sprint planning, and code reviews to ensure alignment and progress. They are expected to communicate effectively across disciplines, help troubleshoot issues that span both client and server sides, and contribute to shared documentation. This collaborative environment helps ensure that solutions are cohesive, scalable, and meet user requirements.

What are Full Stack Software Engineers?

Full Stack Software Engineers are professionals skilled in both front-end and back-end development. They are capable of designing, building, and maintaining the user interface (client-side) as well as the server logic, databases, and application architecture (server-side). This means they can work on projects from start to finish, handling everything from user experience to data management. Full Stack Software Engineers often use a variety of programming languages and frameworks, making them versatile and valuable members of a development team.

What is the difference between Full Stack Software Engineer vs Front End Developer?

AspectFull Stack Software EngineerFront End Developer
Required SkillsProficiency in both front-end and back-end technologies, including HTML, CSS, JavaScript, server-side languages, and databases.Specializes in client-side technologies like HTML, CSS, JavaScript, and frameworks such as React or Angular.
Work EnvironmentWorks on both server and client-side development, often involved in full project lifecycle.Focuses primarily on designing and implementing user interfaces and user experience.
Common UsageUsed in full-stack development teams, startups, and projects requiring versatile developers.Found in teams emphasizing UI/UX, web design, and front-end frameworks.

While both roles require strong JavaScript skills, Full Stack Software Engineers handle both front-end and back-end development, whereas Front End Developers focus solely on the user interface and experience. The choice depends on whether you prefer a broader development scope or specialization in UI design.

What are the most popular categories at Innovative Solutions?
Infographic showing various Full Stack Software Engineer job openings at Innovative Solutions in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 89% Physical, and 11% Remote job distribution.
Cloud Engineer- Data/AI Focused

Cloud Engineer- Data/AI Focused

Innovative Solutions

Rochester, NY

$113K - $135.70K/yr

Full-time

Posted 20 days ago


Job description

We are seeking a skilled and motivated Data/AI Cloud Engineer to join our team! In this role, you will play a key part in implementing AWS data and AI/ML services, building ETL/ELT pipelines, and developing intelligent data solutions that empower our customers to derive meaningful insights from their data. You will collaborate closely with Cloud Architects and senior technical team members to design and deliver high-quality, scalable solutions — spanning data engineering, machine learning infrastructure, and AI-driven applications — aligned with customer needs.

 

Responsibilities:

  • Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR
  • Creating and maintaining data extraction, transformation, and loading processes
  • Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB
  • Implementing data lakes using S3 and related AWS services
  • Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude
  • Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases
  • Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex
  • Writing and testing SQL queries and stored procedures
  • Documenting technical solutions and providing knowledge transfer to customers
  • Supporting the implementation of data governance and security controls
  • Troubleshooting and resolving issues with data pipelines and AI services
  • Participating in code reviews and implementing feedback
  • Assisting with proof-of-concept implementations for customer engagements

 Top candidates will have the following:

  • Technical familiarity with AWS data and AI/ML services and modern data engineering practices
  • Hands-on experience with ETL/ELT processes and data transformation
  • Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks
  • Ability to write and optimize SQL queries across various database platforms
  • Knowledge of data modeling concepts and best practices
  • Strong analytical and problem-solving skills
  • Eagerness to learn new technologies and keep up with cloud and AI innovations
  • Excellent communication skills with the ability to explain technical concepts clearly
  • Attention to detail and commitment to solution quality
  • Collaborative mindset with strong teamwork capabilities
  • Experience or interest in automation and infrastructure as code

Required Experience for the Role:

  • Must have 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development
  • Must have 2+ years of hands-on AWS experience with production deployments
  • Must have 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents)
  • Must have a proven track record delivering production AI applications from concept to deployment
  • Must have strong understanding of software engineering best practices (version control, testing, code review, documentation)
  • Must have experience working in agile/scrum environments with distributed teams
  • Must have excellent problem-solving skills and ability to work independently with minimal supervision
  • Must have strong written and verbal communication skills for client-facing interactions

The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training.

 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.