Keyloop
Senior Software Engineer
- Location
- India (Hyderabad)
- Work type
- Hybrid
- Salary
- Not listed
- Posted
- (1 month ago)
About the role
Role Summary
As a Senior AI Native Engineer (IC3) at Keyloop, you will be a technical leader within your team, owning complex, multi-sprint projects and setting the standard for engineering quality. You will design and implement robust, scalable solutions, mentor junior and mid-level engineers, and be a key driver of team culture and process improvements. We are tech stack agnostic: we believe a strong engineer with deep fundamentals and AI-assisted tooling can master any technology. This role is for engineers who combine deep technical expertise with strong ownership, collaboration, and the ability to influence technical direction at the team level.
Competency Expectations
Competency Expectations
Aligned with the Keyloop Engineering Career Framework, this role is assessed across five core competency domains:
|
Competency Domain |
What We Expect |
|
Technical Mastery & Innovation |
Designs and implements robust, scalable solutions for complex, team-sized projects. Is a recognized technical expert within the team. Drives architectural decisions and champions engineering best practices. |
|
Execution & Delivery |
Owns the delivery of large, complex, multi-sprint projects. Is accountable for the operational health of the team's systems. Proactively identifies and mitigates technical risks. |
|
Leadership & Influence |
Consistently mentors and coaches IC1s and IC2s. Is a key driver of team culture and process improvements. Builds consensus around technical decisions and influences team direction. |
|
Communication & Collaboration |
Communicates complex technical ideas effectively to both technical and non-technical audiences. Facilitates technical discussions, design reviews, and cross-functional alignment. |
|
Product & Business Impact |
Deeply understands the team's product domain and user needs. Actively participates in product planning, shaping technical approaches based on business context and customer value. |
Key Responsibilities
- Design and implement robust, scalable software solutions for complex, team-sized projects spanning multiple sprints
- Lead technical design and architecture discussions within the team, ensuring solutions align with platform strategy
- Own the end-to-end delivery of major features: from technical design through implementation, testing, deployment, and monitoring
- Drive engineering best practices including code quality standards, testing strategies, CI/CD improvements, and effective use of AI-assisted development tools
- Mentor and coach IC1 and IC2 engineers, accelerating their technical growth through pairing, code reviews, and guidance
- Be accountable for the operational health and reliability of the team's systems, including incident response and post-mortems
- Facilitate technical discussions and build consensus on architectural and design decisions
- Collaborate closely with Product Managers, Designers, and stakeholders to shape the team's roadmap and technical approach
- Identify and drive process improvements that increase team velocity, quality, and developer experience
- Proactively identify technical debt, risks, and opportunities, proposing and leading initiatives to address them
- Produce high-quality technical documentation including design documents, ADRs, and runbooks
- Represent the team's technical perspective in cross-team discussions and planning forums
Technical Skills & Qualifications
Required:
.net AWS cloud .NET 8+, .NET Core, ASP.NET MVC, ASP.NET Web API,Entity Framework Deep software engineering fundamentals: data structures, algorithms, design patterns, system design, and distributed systems principles Strong proficiency in at least one programming language, with a proven track record of picking up new languages, frameworks, and paradigms quickly Proven ability to design and implement scalable, maintainable, and well-tested software systems regardless of the underlying tech stack Strong experience with modern development practices: TDD/BDD, CI/CD, code reviews, and automated testing Solid understanding of cloud-native concepts, infrastructure patterns, and platform-level thinking Experience with data modelling, query optimization, and working across different database paradigms Understanding of API design, service-oriented architectures, event-driven patterns, and integration strategies Experience with monitoring, observability, and incident management practices Proficiency in leveraging AI-assisted and AI-driven development tools (e.g., GitHub Copilot, Cursor, Claude Code, agentic coding workflows) to accelerate development, architectural exploration, and technical problem-solving A tech stack agnostic mindset: we value engineers who master fundamentals and use AI-assisted tooling to work effectively across any technology
Qualifications:
Nice to Have:
Soft Skills & Behaviours
What Success Looks Like
What Sets This Role Apart
Our Guiding Principles
We are Bold: We challenge the status quo, explore new technologies, and champion high standards for quality.
We are Authentic: We engage in open, honest, and respectful dialogue. We admit when we are wrong and are transparent about risks.
We are United: We adopt a platform-first mentality, collaborate seamlessly across teams, and actively mentor others to elevate the entire team.