Thorough preparation is your best asset when interviewing at and Huntington. The evaluation process is designed to test not only your coding proficiency but also your ability to articulate the "why" behind your technical decisions. Interviewers want to see how you think under pressure and how well you align with the bank's engineering standards.

Focus your preparation on these key evaluation criteria:

Technical Depth & Execution Interviewers will assess your command of core programming concepts, data structures, and system constraints. You must be prepared to discuss technical implementations down to the "bits and bytes," demonstrating a rigorous understanding of how your code executes in a production environment.

Architectural Reasoning & Resume Defense Your past projects are heavily scrutinized. You must be able to adequately explain how previous systems were built, why you chose specific frameworks or cloud services over others, and what trade-offs you navigated. Interviewers expect you to connect key programming concepts directly to the items listed on your resume.

Problem-Solving & Adaptability You will be evaluated on how you approach ambiguous problems and live coding scenarios. Whether stepping through a Coderpad challenge or responding to unexpected questions about specific technologies like AWS, your ability to remain composed, reason logically, and adapt to the interviewer's focus is critical.

Communication & Culture Fit and Huntington places a strong emphasis on conversational skills and professional alignment. Interviewers gauge your enthusiasm for the company, your ability to collaborate with non-technical stakeholders, and your capacity to engage in a two-way dialogue about team culture and expectations.

The interview process for a Software Engineer at and Huntington is thorough and can vary slightly depending on the specific team and hiring manager. Typically, your journey begins with a 30-minute phone screen conducted by a third-party recruiter or an internal HR representative. This initial conversation focuses on your high-level background, career motivations, and basic behavioral alignment.

Following the screen, you will advance to the core interview stages, which often consist of a combination of technical and behavioral rounds. You might face a consolidated 75-minute panel interview over Microsoft Teams, or a series of back-to-back 30-minute sessions with different engineering managers. During these rounds, expect a deep dive into your resume, conversational behavioral questions, and live technical assessments.

The technical portions can range from high-level architectural discussions to highly granular, low-level programming questions. Throughout the process, interviewers will also dedicate time to explaining the culture at and Huntington, giving you a chance to ask insightful questions and determine if the team is the right fit for your career goals.

This visual timeline outlines the typical progression from your initial recruiter screen through the final technical and behavioral panels. Use this to pace your preparation, ensuring you are ready for both conversational resume deep-dives and unexpected live-coding assessments by the time you reach the hiring manager rounds. Understanding this flow helps you manage your energy and set appropriate expectations for communication timelines.

To succeed in your interviews, you need to understand exactly what the engineering managers at and Huntington are looking for. The evaluation is rigorous and often highly specific to the hiring manager's current technological focus.

Resume Defense and Project Architecture

Your resume is the primary roadmap for the interview. Managers at and Huntington will pick apart your past projects to ensure you actually understand the systems you claim to have built. They are looking for candidates who can articulate the rationale behind their technical choices rather than those who simply follow instructions.

Be ready to go over:

• Design Decisions – Explaining why you chose a specific architecture (e.g., microservices vs. monolith) for a past project.
• Technology Trade-offs – Discussing why you utilized a certain database, framework, or cloud provider, and what alternatives you considered.
• Impact and Scaling – Detailing how your specific contributions improved system performance, reliability, or user experience.
• Advanced concepts (less common) – Navigating legacy system migrations, integrating third-party financial APIs, or handling highly concurrent transaction processing.

Example questions or scenarios:

• "Walk me through this specific project on your resume. Why did you choose to use that particular framework?"
• "Explain the architectural flow of the mobile application you built. How did you handle data persistence?"
• "If you had to rebuild this past project today, what technologies would you change and why?"

Core Programming and Technical Nuance

For the Programmer/Analyst 2 level, interviewers expect a solid foundation in computer science fundamentals. You may encounter managers who prefer to drill down into the granular details of programming languages and system memory.

Be ready to go over:

• Language-Specific Deep Dives – Answering highly detailed questions about the core language you are interviewing for (e.g., Java, C#, or Python), right down to the "bits and bytes."
• Live Coding Proficiency – Writing clean, optimized code on the spot, often using platforms like Coderpad.
• Data Structures and Algorithms – Applying the right data structures to solve performance bottlenecks.
• Advanced concepts (less common) – Memory management, garbage collection nuances, and multithreading in high-throughput environments.

Example questions or scenarios:

• "Given this problem statement, write a function in Coderpad to parse and sort this dataset efficiently."
• "Explain how memory allocation works under the hood for the primary language listed on your resume."
• "How would you optimize this block of code to reduce its time complexity?"

Cloud Infrastructure and Modern Tooling

Even if specific certifications are not explicitly listed on the job description, hiring managers frequently index on modern cloud experience. and Huntington is increasingly leveraging cloud environments, and familiarity with these ecosystems is a major differentiator.

Be ready to go over:

• Cloud Service Providers – Demonstrating practical knowledge of AWS, Azure, or GCP, particularly regarding compute and storage solutions.
• Deployment and CI/CD – Understanding how code moves from a local environment to production safely.
• Service Equivalencies – Being able to map your experience with one tool (e.g., Firebase) to enterprise equivalents (e.g., AWS S3 or DynamoDB).
• Advanced concepts (less common) – Infrastructure as Code (Terraform), container orchestration (Kubernetes), and cloud security best practices.

Example questions or scenarios:

• "Do you hold any active certifications in AWS or other cloud platforms?"
• "We use specific cloud storage solutions here. How does your experience with Firebase translate to enterprise cloud storage?"
• "Explain your experience with setting up or maintaining CI/CD pipelines for your previous teams."

As a Software Engineer at and Huntington, your daily responsibilities blend hands-on coding with strategic system design. You will spend a significant portion of your time developing, testing, and deploying robust software solutions that meet the bank's rigorous security and performance standards. This involves writing clean, maintainable code, participating in thorough code reviews, and troubleshooting complex production issues as they arise.

Collaboration is a cornerstone of this role. You will frequently partner with product managers to clarify business requirements and with QA engineers to ensure comprehensive test coverage. Because and Huntington operates in a highly regulated industry, you will also work closely with security and compliance teams to ensure that all applications adhere to internal and external data protection guidelines.

Beyond immediate project deliverables, you are expected to contribute to the continuous improvement of the engineering culture. This means identifying technical debt, proposing modern architectural solutions, and occasionally mentoring junior developers. Whether you are modernizing a legacy banking application or building a net-new cloud-native service, your work will directly influence the operational efficiency of the bank and the digital experience of its customers.