Description

What You'll Do: 

• Act as Persistent's frontline technical representative for AWS and strategic enterprise customers.
• Lead technical engagements from problem definition through architecture design and solution realization.
• Translate complex business challenges into scalable cloud-native architectures and solution blueprints.
• Design, develop, and demonstrate production-grade proof of concepts, prototypes, accelerators, and reference implementations.
• Conduct technical discovery workshops, architecture assessments, modernization reviews, and solution strategy sessions.
• Partner closely with AWS teams and customer stakeholders to identify and accelerate strategic opportunities.
• Lead architecture reviews, code walkthroughs, technical demonstrations, and engineering workshops.
• Drive cloud modernization, application modernization, data modernization, and AI transformation initiatives.
• Design solutions utilizing AWS services, serverless technologies, container platforms, data services, and AI/ML ecosystems.
• Architect event-driven, distributed, and real-time processing solutions for enterprise-scale environments.
• Design and implement highly scalable, resilient, fault-tolerant, and secure systems.
• Build reusable frameworks, technical assets, accelerators, and engineering playbooks.
• Contribute to strategic pursuits, technical proposals, and high-impact customer engagements.
• Mentor architects and engineering teams on cloud-native development, AI systems, and engineering best practices.
• Drive innovation through Generative AI, Agentic AI, multi-agent systems, and modern cloud architecture patterns.
• Represent the organization through customer presentations, technical forums, conferences, blogs, and thought leadership initiatives.

Expertise You'll Bring:

• 15–20 years of experience in Software Engineering, Platform Engineering, Distributed Systems, Cloud Architecture, or Enterprise Engineering.
• Deep hands-on expertise across AWS services including compute, storage, networking, security, serverless, containers, and data platforms.
• Strong understanding of distributed systems design and large-scale cloud-native architectures.
• Experience designing highly available, fault-tolerant, self-healing, and resilient systems.
• Expertise in event-driven architectures, asynchronous processing, and real-time systems.
• Experience designing enterprise-scale cloud transformation and modernization solutions.
• Strong understanding of microservices architecture and API-first engineering.
• Experience working with modern enterprise data platforms and large-scale data ecosystems.
• Hands-on expertise with NoSQL, document, graph, and vector databases.
• Strong understanding of data modeling, ETL/ELT pipelines, and data migration programs.
• Experience with Change Data Capture (CDC), streaming architectures, and modern data integration patterns.
• Experience building data-intensive cloud-native applications and analytics platforms.
• Strong proficiency in Rust, Go, C++.
• Experience developing high-performance and distributed systems.
• Strong understanding of systems programming concepts and scalable software architecture.
• Experience building enterprise APIs, backend platforms, and cloud-native services.
• Hands-on experience with enterprise integration technologies such as GraphQL, gRPC, MuleSoft, Apache Camel, WSO2, Boomi.
• Experience integrating complex enterprise platforms, cloud services, and APIs.
• Experience designing secure cloud architectures and implementing cloud security best practices.
• Strong understanding of Identity and Access Management (IAM), zero-trust concepts, and secure software engineering practices.
• Experience with observability platforms, distributed tracing, telemetry, monitoring, and log analytics.
• Knowledge of incident management, operational excellence, and platform reliability practices.
• Experience implementing enterprise-scale monitoring and observability solutions.
• Strong expertise in Generative AI application development and enterprise AI architecture.
• Experience designing Agentic AI and Multi-Agent Systems.
• Hands-on experience with prompt engineering and AI orchestration frameworks.
• Strong understanding of AI guardrails, governance, and responsible AI practices.
• Experience with LLM evaluation frameworks and AI observability solutions.
• Knowledge of chain-of-thought logging, AI monitoring, and model governance.
• Experience designing enterprise AI platforms and intelligent automation solutions.
• Hands-on experience with AWS Bedrock and modern AI ecosystems.
• Proven ability to engage senior AWS leaders, architects, engineering executives, and customer stakeholders.
• Strong consulting and solutioning mindset with the ability to influence technology strategy through technical credibility.
• Experience driving architecture strategy, modernization programs, and enterprise transformation initiatives.
• Strong leadership, mentoring, and cross-functional collaboration capabilities.
• Ability to navigate ambiguity and provide clarity through engineering-driven problem solving.
• Excellent presentation, communication, and stakeholder management skills.
• Active participation in open-source communities and technology ecosystems.
• Experience publishing technical blogs, articles, whitepapers, conference talks, or industry contributions.
• Ability to conduct architecture reviews, solution deep-dives, and executive-level technical discussions.
• Broad technology vision spanning cloud, AI, applications, infrastructure, security, observability, and data platforms

Key Skills

Education

Any Graduate