Role Overview
We are seeking an experienced Java Software Architect to provide technical architecture and design leadership across distributed backend systems, cloud platforms, edge computing, and AI/ML capabilities.
The successful candidate will define scalable technical solutions, establish architecture patterns, guide engineering teams, and ensure systems are designed for performance, reliability, security, and long-term scalability. This role requires strong Java expertise combined with broad architectural knowledge across cloud, APIs, distributed systems, data platforms, and modern AI/ML environments.
Key Responsibilities
Define end-to-end architecture for distributed backend, cloud, edge, and data platforms.
Develop technical architecture strategies, solution designs, and integration patterns.
Establish architectural standards and best practices for Java, Spring Boot, microservices, APIs, and event-driven systems.
Provide technical direction for AWS-based solutions across compute, storage, networking, IAM, and observability.
Design architecture for edge and CDN-based processing environments.
Define integration patterns for third-party vendors, identity services, authentication, and secure data exchange.
Guide the design of data platforms supporting ML inference, feature pipelines, model serving, and AI/ML integrations.
Evaluate and recommend technologies, frameworks, storage solutions, messaging platforms, and integration approaches.
Lead architecture reviews and technical design sessions with engineering and cross-functional teams.
Identify architectural risks, scalability concerns, security requirements, and technical dependencies.
Establish patterns for reliability, observability, performance, security, and governance.
Partner with engineering, data science, product, and other technical teams to translate business requirements into scalable technical solutions.
Provide hands-on technical guidance and participate in implementation where required.
Support greenfield initiatives and evolving technical environments where requirements may be ambiguous.
Requirements
10+ years of software engineering experience, with significant experience in architecture and distributed systems.
Strong expertise in Java and Spring Boot.
Extensive experience designing microservices, APIs, event-driven systems, and distributed architectures.
Strong experience with AWS cloud architecture.
Experience designing systems involving edge computing, CDN technologies, edge workers, Lambda@Edge, or similar platforms.
Strong understanding of system scalability, reliability, security, observability, and performance.
Experience designing data platforms and architectures supporting AI/ML inference and model serving.
Strong understanding of enterprise integration patterns and third-party system connectivity.
Ability to translate ambiguous business and technical requirements into clear architecture and implementation strategies.
Excellent communication and stakeholder management skills.
Demonstrated ability to influence engineering teams and technical stakeholders through architecture and technical leadership.
Nice to Have
JavaScript / TypeScript experience.
Python and data engineering experience.
Databricks or similar AI/data platforms.
Experience with ML model registries and feature stores.
Knowledge of JWT/JWS, PKI, OAuth 2.0, identity, or token verification.
Experience with distributed tracing and large-scale observability.
Experience with network/platform services.
Open-source contributions or community involvement.
Experience working in startup or highly agile environments.
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