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mthree is seeking a Lead Software Engineer to design, build, and evolve high-throughput, low-latency, cloud-native platforms for our Client. This role requires deep hands-on engineering expertise, strong architectural judgment and the ability to prototype, experiment and productionize modern solutions across AWS, Kubernetes (EKS), Java microservices and Agentic AI. You will operate as a technical owner—driving solution design end-to-end, mentoring engineers and setting engineering standards while remaining deeply hands-on with code, infrastructure and automation.
Key Responsibilities: Architecture & Solution Design
• Lead the architecture and solutioning of distributed, low-latency, high-TPS systems running on AWS and EKS.
• Design microservices-based Java platforms optimized for performance, resiliency, scalability and operability.
• Make architectural trade-offs across compute, networking, data and observability layers with measurable SLAs/SLOs.
• Own non-functional requirements (latency, throughput, availability, cost efficiency).
Required Qualifications Core Technical Skills
• 10+ years of hands-on software engineering experience
• Strong Java expertise with microservices architectures
• Proven experience building high-throughput, low-latency systems
• Extensive AWS experience, including multiple production deployments on EKS
• Deep understanding of:
o Distributed systems
o Concurrency, performance tuning and scalability
o Resiliency and fault tolerance
Cloud & Platform
• Hands-on experience with Kubernetes (EKS) in production
• Strong knowledge of AWS networking, security and scaling patterns
• Experience designing cloud-native, event-driven or service-based platforms
AI & Modern Engineering
• Experience using Generative AI / Agentic AI in engineering workflows
• Hands-on usage of GitHub Copilot or similar AI-assisted development tools
• Experience integrating AI into developer tooling or platforms (preferred)
Preferred Qualifications
• Experience in payments, fintech, or high-volume transaction systems
• gRPC, async messaging, or streaming platforms experience
• Observability and SRE-style practices
• Experience modernizing legacy platforms to cloud-native architectures
What Success Looks Like
• Designs are simple, scalable and measurable
• Systems meet strict latency and availability SLAs
• Teams move faster through automation and AI augmentation
• Engineers trust your technical judgment and follow your lead
• You prototype first, validate early and productionize responsibly
Lead Software Engineer
Job ID: 147200237
Skills:
snowflake , Prometheus, Kafka, Elk Stack, Grafana, Angular, Nosql, React, Docker, Teamcity, Flask, Python, AWS, AI ML, Sql, Django, Jenkins, Vue.JS, Gcp, Spark, Databricks, Azure, Kubernetes, LangChain, CrewAI, LLMs, generative AI, Airbyte, GitLab CI
Skills:
Java, Springboot, Docker, Cassandra, Kafka, Oracle, Kubernetes, Redis
Skills:
Java, Maven, Sql, Angular, Git, Typescript, Gradle, Docker, Restful Apis, AWS, DevOps practices, CI CD pipelines
Skills:
.NET, Apis, Agile Methodologies, Restful Services, microservices architecture, LLM orchestration frameworks, DevOps practices, AI coding tools, AI ML workloads, object-oriented design patterns
Skills:
PowerShell, Prometheus, Bash, Grafana, ARM templates, Docker, Terraform, AWS ECS, Kubernetes, Python, Infrastructure automation, Helm charts, Azure Monitor
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