Connectly Software Engineer interview questions & guide 2026

The questions you will encounter during the Connectly interview process are designed to evaluate your practical software engineering capabilities, your grasp of clean object-oriented design, and your ability to scale systems under pressure. Rather than focusing on abstract brainteasers, our questions are highly representative of the day-to-day challenges you will face on the job.

Object-Oriented Programming & Coding

This category tests your ability to write clean, maintainable, and well-tested Python code. You will be expected to model complex rules and validate inputs effectively.

• Design a text-based card game (such as Blackjack or Poker) using robust object-oriented principles in Python. Implement methods to shuffle, deal, validate player moves, and determine the winner.
• Write a complete suite of unit tests for your card game implementation, ensuring edge cases like empty decks or invalid moves are gracefully handled.

To succeed in the Connectly interview process, you must demonstrate a unique blend of deep technical execution, architectural foresight, and product-minded execution. We evaluate candidates across several core dimensions to ensure alignment with our high-performing team.

Technical Rigor & OOP – You must have a masterful command of Python and object-oriented design. We do not just look for code that works; we look for code that is modular, easy to read, properly encapsulated, and thoroughly tested. Be ready to write production-grade code under timed conditions.

System-Level Thinking – You should be comfortable designing distributed systems that operate at scale. This means understanding how to use message brokers like Kafka to manage asynchronous workflows, and knowing when to leverage relational databases versus NoSQL solutions for optimal performance.

Product & AI Curiosity – Working at Connectly requires a strong interest in how AI can drive real business outcomes. You should be prepared to discuss how you balance technical complexity with the user experience of a conversational interface, showing a genuine curiosity for the evolving LLM landscape.

Startup Adaptability – We move fast and operate with a high degree of autonomy. You need to demonstrate a track record of navigating ambiguity, managing your own workstreams, and making pragmatic trade-offs between rapid feature delivery and architectural purity.

The interview process at Connectly is designed to be highly practical, thoroughly assessing your engineering capabilities through real-world scenarios rather than academic puzzles. We value your time and aim to keep the process transparent, rigorous, and highly communicative.

The journey typically begins with an initial conversation with a technical lead. This round focuses on your background, your experience building scalable backend systems, and your alignment with our technical stack and culture. Following this, you will proceed to hands-on technical evaluations. This includes a deep-dive coding assessment where you will write clean, production-ready code, and may also involve take-home assignments or technical design reviews to evaluate how you structure solutions to complex business problems.

The timeline above outlines the standard progression of our engineering interview loop. While the exact steps may vary slightly depending on the level of the role and the team, you can expect a highly structured evaluation that respects your schedule. Use this timeline to pace your preparation, focusing first on core coding fundamentals before diving into system architecture and conversational AI concepts.

To help you focus your preparation, we have broken down our core technical evaluation areas into detailed competencies. Understanding these areas will help you align your performance with what our interviewers are looking for.

Object-Oriented Programming (OOP) in Python

Our coding evaluations place a heavy emphasis on clean code, domain modeling, and testing. You will be asked to build a fully functioning system within a limited timeframe, requiring you to write code that is not only correct but also maintainable and extensible.

Be ready to go over:

• Domain Modeling – How to translate complex business rules (like game logic or order processing) into a clean hierarchy of classes and methods.

As a Software Engineer at Connectly, you will have a direct hand in shaping our core product offerings and scaling our technical infrastructure. Your day-to-day work will bridge the gap between complex backend engineering and cutting-edge AI product development.

You will design, build, and launch production-grade conversational AI solutions for enterprise clients. This ranges from rapidly prototyping new features to deploying highly scalable backend systems that handle heavy traffic volumes. You will write clean, maintainable code in Python and manage cloud infrastructure using AWS, ensuring our databases (Postgres and DynamoDB) and messaging pipelines (Kafka) are optimized for maximum reliability and low latency.

Collaboration is central to this role. You will work closely with product managers, designers, and enterprise partners to define user journeys, optimize conversational performance metrics, and drive measurable business results for our clients. Additionally, as a senior member of our distributed engineering team, you will mentor other engineers, participate in architectural design reviews, and establish engineering best practices across the organization.

We are looking for exceptional engineers who possess a strong technical foundation and a passion for building high-impact products in a startup environment.

• Must-have skills – 5+ years of hands-on software engineering experience, with a proven track record of building and scaling enterprise systems. High proficiency in Python and deep experience with relational and non-relational databases like Postgres and DynamoDB. Solid understanding of distributed messaging systems, specifically Kafka, and cloud infrastructure on AWS.
• Nice-to-have skills – Experience with frontend engineering technologies such as React and TypeScript. Prior experience developing or deploying conversational AI applications, prompt design, or LLM-based agent evaluation. Experience working in fast-paced, customer-centric startup environments.
• Education – BS or MS in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Q: How deeply should I prepare for the Python coding round? A: Very deeply. The 75-minute coding round requires you to build a complete, working system (such as a card game) using clean object-oriented Python. You must write modular classes, implement strict validation methods, and write actual unit tests within the timed session.

Q: Does Connectly use take-home assignments in the hiring process? A: Depending on the role and location, we may utilize take-home assignments to evaluate your real-world coding and architectural style. If assigned, expect to walk through your code in detail during the subsequent interviews, explaining your design choices and trade-offs.

Q: What is the hybrid work policy at Connectly? A: We operate as a hybrid company with physical offices in Bogota and San Francisco, and a highly collaborative, remote-first culture everywhere else. We prioritize impact and clear communication over physical presence.

Q: What differentiates candidates who receive offers from those who do not? A: Successful candidates demonstrate a balance of strong technical rigor and high product sense. They write exceptionally clean, production-grade code, write comprehensive tests, and can explain the business impact and user experience implications of their technical decisions.

To excel in your interviews at Connectly, keep these practical, insider tips in mind as you prepare:

• Prioritize Clean Code Over Speed: During coding sessions, do not just rush to a working solution. Structure your classes thoughtfully, use descriptive variable names, and keep your methods focused on a single responsibility.

• Write Tests as You Go: Do not leave testing for the last five minutes of your interview. Write unit tests as you build out your classes to demonstrate that you treat test coverage as a core part of the development process.

• Be Ready to Defend Your Architecture: When discussing system design or previous projects, be prepared to explain exactly why you chose a specific tool (like Kafka or DynamoDB) and what trade-offs you made regarding latency, consistency, and complexity.

• Show Your AI Curiosity: Even if you do not have professional experience with LLMs, familiarize yourself with prompt design, agent evaluation, and the current challenges of integrating AI into enterprise software. Showing that you are actively learning in this space is highly valued.

Preparing for a Software Engineer interview at Connectly is an opportunity to showcase your strengths in clean coding, robust system design, and product engineering. By focusing your preparation on modular object-oriented Python, distributed systems architecture with Kafka, and the unique challenges of conversational AI, you will position yourself as a highly competitive candidate.

Our team is dedicated to building a supportive, high-impact environment where curiosity and technical excellence thrive. Focused, practical preparation is the key to demonstrating your capabilities during our rigorous loop. Take the time to practice designing complete systems, writing comprehensive unit tests, and thinking critically about how to scale real-time communication platforms.

The salary range listed above represents the base compensation for our Senior Software Engineer role in San Francisco. At Connectly, we offer competitive compensation packages that include equity participation, unlimited time off, and the chance to work alongside an exceptional, mission-driven team.

To gain further insights, read detailed candidate experiences, and access additional preparation materials, explore the resources available on Dataford. We wish you the best of luck with your preparation and look forward to seeing how you can help us build the future of conversational commerce!