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We're expanding our core engineering team and need a hands-on technical leader who can architect, deliver, and own business-critical platforms end-to-end. If you love turning bold ideas into reliable, high-throughput systems that directly move the P&L needle—we want to meet you!
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What You'll Do
• Own architecture & delivery of payment, catalog, logistics, and growth services handling tens of thousands of requests per second
• Design, build, and tune Java 17+ / Spring Boot microservices, Kafka event pipelines, distributed caches, and cloud-native deployments (Kubernetes on either AWS/GCP/Azure)
• Drive engineering excellence: establish coding standards, automate CI/CD, champion observability and SRE practices
• Lead & mentor a squad of senior engineers; facilitate architecture reviews and hands-on pair design
• Translate features into business impact: partner with Product & Data teams to optimise conversion, retention, and unit economics
What We're Looking For
• 8+ years of production software experience, with 3+ years in a staff/principal or tech-lead capacity
• Proven success delivering high-scale, low-latency systems in e-commerce, quick commerce, food-tech, fintech, or similar domains
• Deep expertise in Java 17+, Spring Boot, Kafka, Redis, SQL/NoSQL (PostgreSQL/MongoDB), Kubernetes, and AWS/GCP
• Solid command of DDD, clean architecture, CAP trade-offs, chaos testing, cost optimisation
• Passion for mentoring and a true you build it, you run it mindset
• Bonus: exposure to real-time analytics, streaming ML, serverless, or LLM/RAG workflows
Why You'll Love It Here
• Green-field autonomy: influence roadmap and tech stack from day 0
• Direct P&L impact: your work visibly moves revenue, margins, and customer NPS
• High-performance peers who value clean code, rapid iteration, and psychological safety
• Competitive package, fast growth, and dedicated learning budgets
Job ID: 151293411
Skills:
Terraform, Docker, Kubernetes, AI ML Generative AI, RAG frameworks, automated test frameworks, vector databases, model orchestration, cloud-native technologies, Python-based automation, scalable enterprise solutions, Responsible AI principles, unit testing tools, mocking and stubbing, test-driven development, CI CD pipelines, guardrails, AI agents, LLM-based applications, AWS cloud architecture
Skills:
Azure, Ml, AWS, Kubernetes, Docker, Gcp, Ai
Skills:
Java, Prometheus, Bash, Grafana, Datadog, Jenkins, Gcp, Terraform, Docker, Ansible, Splunk, Azure, Python, Kubernetes, AWS, Go, GitLab CI, GitHub Actions, Spinnaker
Skills:
Java, Microservices, AWS, Full Stack Development, SQL/NoSQL Databases
Skills:
.Net Core, .NET 8, Web Api, Kafka, Angular, React, Docker, AWS, Linq, Graphql, Gcp, MLops, Blazor, SignalR, Restful Apis, Azure, Kubernetes, Entity Framework Core, MLflow, GRPC, Kubeflow, CrewAI, LangChain, AutoGen, ASP.NET Core MVC, Azure Event Hub