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Job Responsibility
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools
Ensuring that code is scalable, maintainable, and optimized for performance
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability
Requirements
Hands‑on cloud engineering experience with architecting large‑scale systems on AWS
Deep expertise across AWS services including EKS, Lambda, Aurora, DynamoDB, Kinesis, MSK, S3, API Gateway, Step Functions, CloudWatch, IAM, and IaC frameworks (CloudFormation/Terraform)
Strong ability to architect high‑throughput, low‑latency, distributed systems for mission‑critical workloads
Expertise in containerization, Kubernetes, serverless patterns, and multi‑region fault‑tolerant architectures
Demonstrated ability in AWS cost management, scaling strategies, performance tuning, and optimizing for resilience and cost efficiency
Ability to manage and drive multiple PoCs, architecture reviews, technical evaluations, and solution options in parallel
Strong capability to present architectural options, trade‑offs, risk evaluations, and decisions to governance boards and senior leadership with clear, data‑driven justification
Deep understanding of DevSecOps, CI/CD, observability, monitoring, and secure cloud operations
Ability to work cross‑functionally with Product, Data Science, Security, Architecture, and Engineering teams to influence long‑term platform strategy
Excellent communication, executive presence, and ability to synthesize complex technical concepts into actionable insights for decision‑makers
Nice to have
Experience in fraud detection, fraud platforms, decisioning systems, or real‑time risk engines
Experience in top product‑based technology companies known for engineering depth and architectural rigor
Exposure to AI/ML platforms, LLM‑driven architectures, GenAI tooling, vector stores, embedding pipelines, and LLM pattern integration into enterprise systems
Experience with streaming frameworks (Flink, Spark Streaming), graph technologies, and real‑time analytics
Knowledge of model governance, cloud security best practices, and regulatory compliance (PCI, GDPR)
Background in modernizing legacy systems into cloud‑native, microservices or event‑driven architectures
Experience leading engineering organizations across hybrid or global delivery models
Patents, publications, open‑source contributions, or conference‑level technical leadership