Job Overview
Location
India Home Office - Gurugram
Job Type
Full-time
Category
Engineering
Date Posted
March 31, 2026
Full Job Description
📋 Description
- • Lead the design and implementation of AI-augmented software development lifecycle (SDLC) frameworks, enabling context-driven code generation, automated testing, and intelligent code review.
- • Develop agentic automation systems to accelerate development tasks including bug fixing, code refactoring, documentation generation, and test automation.
- • Build AI-enabled engineering platforms that integrate LLM capabilities directly into development environments and CI/CD pipelines.
- • Design and implement agent-based engineering systems using frameworks such as n8n, OpenClaw, and other orchestration platforms.
- • Develop multi-agent workflows for engineering automation including automated debugging, intelligent test generation, code remediation, and security vulnerability detection.
- • Implement architectures based on Agent frameworks, MCP (Model Context Protocol), and A2A (Agent-to-Agent) communication protocols.
- • Architect scalable, resilient cloud-native AI engineering platforms on modern cloud infrastructure.
- • Drive enterprise architectural decisions related to AI-enabled development platforms, developer productivity systems, and AI engineering infrastructure.
- • Implement Infrastructure-as-Code (IaC) practices and cloud automation frameworks.
- • Design systems with strong focus on security, scalability, reliability, and cost optimization.
- • Develop context-aware AI development systems that leverage codebases, documentation, architecture diagrams, and telemetry to improve code generation quality.
- • Partner with platform engineering teams to integrate AI capabilities into CI/CD pipelines and DevOps platforms.
- • Lead initiatives leveraging AI for large-scale legacy modernization, including automated code translation and refactoring.
- • Design frameworks that use AI to migrate legacy systems to modern cloud-native architectures.
- • Develop automation pipelines for codebase analysis, dependency mapping, and modernization strategies.
- • Develop best practices for secure and ethical AI adoption within engineering workflows.
- • Implement AI-driven telemetry, observability, and operational intelligence frameworks.
- • Ensure AI-generated systems meet enterprise standards for security, reliability, and operational resilience.
- • Provide technical mentorship and guidance to engineering teams adopting AI-augmented development practices.
- • Lead architecture reviews and engineering strategy discussions related to AI-enabled software development.
- • Influence engineering leadership on next-generation development paradigms driven by AI and automation.
- • Establish and maintain standards for the engineering organization.
🎯 Requirements
- • Typically requires 15+ years of experience in software engineering, distributed systems, cloud-native development, or AI-augmented engineering transformation.
- • Experience leading or contributing to AI-driven SDLC transformation initiatives, including adoption of AI coding assistants, context-aware code generation, automated testing, and agentic workflow automation across the software development lifecycle with hands-on coding.
- • Experience applying AI to improve developer productivity, software quality, legacy modernization, bug remediation, and engineering automation.
- • Exposure to implementing AI-enabled engineering practices across one or more stages of the SDLC, including design, development, testing, deployment, and operations.
- • Possess expert knowledge in performance, scalability, distributed architecture, and engineering best practices.
- • Strong programming skills in an object-oriented language such as Java or C#, Python with proven work experience as a full stack developer.
- • Experience working with modern JavaScript frameworks like React and Angular, HTML, and CSS.
- • Proficient in API fundamentals and best practices, REST API architecture.
- • In-depth understanding of the entire software development process (design, development, and deployment).
- • Advanced experience developing and deploying applications for Cloud Native Infrastructure, using CI/CD tools following best practices.
- • Experience building applications in microservice architecture with API-first mindset.
- • Collaborates effectively within the agile framework with a problem-solving attitude and willingness to take a variety of approaches.
- • Excellent analytical and time management skills, with a proven ability to deliver cross-organization impact independently.
- • Proven ability to work cross-functionally, experience with planning and leading complicated technical projects that work with several teams within the company.
- • Excellent leadership, written and verbal communication skills.
🏖️ Benefits
- • Remote-first environment
- • Unlimited paid time off
- • 401(k) with employer match
- • Comprehensive health and wellness programs
- • Professional development stipend
- • Equity and stock options
- • Inclusive and diverse workplace culture
- • Recognition programs
- • Collaborative and innovative team environment
Skills & Technologies
Python
JavaScript
Java
React
Angular
Data Science
Senior
Remote
Degree Required
About Alkami Technology, Inc.
Alkami Technology provides cloud-based digital banking solutions for U.S. credit unions and banks. Its platform offers account opening, payments, card management, analytics, marketing, and security tools through a single integrated interface designed for web and mobile. The company serves financial institutions seeking to modernize customer experience, streamline operations, and deploy new products rapidly without extensive in-house development. Headquartered in Plano, Texas, Alkami supports clients ranging from community banks to large credit unions, delivering scalable infrastructure and ongoing updates aligned with regulatory and technological changes.
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