Platform Engineer @ Victoria Secret | +Biofourmis | CNCF Contributor | CKAD | Golang, Kafka, PostgreSQL, Kubernetes, Docker, Redis, Javascript, MongoDB.

Bengaluru, Karnataka, India

Remote


Remote

Noida, Uttar Pradesh, India

Bengaluru, Karnataka, India

Noida, Uttar Pradesh, India







Scaler
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Download Tal BossPlatform Engineer @ Victoria Secret | +Biofourmis | CNCF Contributor | CKAD | Golang, Kafka, PostgreSQL, Kubernetes, Docker, Redis, Javascript, MongoDB.
Backend Engineer with 6+ years of experience building scalable, cloud-native systems for e-commerce and health tech platforms. Skilled in Golang, Kafka, and Kubernetes, with a track record of improving system performance, reducing latency, and optimising cloud costs. Known for delivering production-ready solutions aligned with business goals. Proven ability to drive cross-functional technical initiatives and deliver measurable business outcomes in high-scale distributed systems. I am actively exploring Backend Engineer, Golang Developer, Platform Engineer, and Kubernetes/Cloud-Native Engineering roles across Germany, Europe, Singapore, Japan and other global tech hubs.
Bengaluru
claude code
cursor
langchain
langgraph
ollama
Pinecone
Senior Software Engineer at Victoria's Secret, Apr 2023 - Present · 3 y 6 mo, Bengaluru, Karnataka, India, - Led the design and delivery of a highly scalable badges and urgency system for Fashion Show weekly sales, architecting backend services capable of handling 60–70 million requests weekly and contributing to over $30M in annual revenue. - Developed an optimised "Add to Bag" functionality for low-consideration items like Beauty and Sleepwear collections allow seamless addition from the Product Listing Page. This resulted in a 2.3M$ annualised increase in sales by reducing friction in the shopping experience. - Engineered resilient microservices in Go with Kafka-based asynchronous pipelines, improving system reliability and enabling deep observability through Prometheus metrics and Grafana dashboards. - Optimised performance under peak load, achieving a 30% reduction in P95 response times by refactoring database access patterns and eliminating redundant Kafka retries. - Collaborated cross-functionally to optimise Kubernetes clusters, applying cost-efficient deployment strategies and autoscaling best practices that reduced cloud spend by $3K/month - I led the migration of 120+ microservices from Consul to Harness pipelines, collaborating with the BLR team to adopt GitOps via Argocd. We successfully migrated 425 service versions, raised 2,500 PR's, and made 7,500 commits, modernising CI/CD and reducing manual errors.
ArgoCD Contributor at Cloud Native Computing Foundation (CNCF), May 2024 - Oct 2024 · 6 mos, Remote
Kubernetes Contributor at Cloud Native Computing Foundation (CNCF), Feb 2023 - Apr 2024 · 1 yr 3 mos
Kubernetes 1.27 Release Team Shadow at Cloud Native Computing Foundation (CNCF), Feb 2023 - May 2023 · 4 mos, Remote
Volunteer at Knaxus, Jan 2021 - Jun 2021 · 6 mos, Noida, Uttar Pradesh, India, A platform where developers can collaborate, learn and grow.
Software Engineer at Biofourmis, May 2020 - Mar 2023 · 2 yrs 11 mos, Bengaluru, Karnataka, India, - Faced the challenge of real-time health monitoring across 100k+ patients, each generating 4M+ data points/day - Built scalable microservices to collect and process continuous biometric data streams - Designed event-driven pipelines using Golang, Kafka, and AWS Lambda, integrating with PostgreSQL for structured metrics and MongoDB for semi-structured vitals - Enabled a 5x improvement in ingestion throughput and reduced latency by 40% for clinical event alerts. - Delivered highly configurable care execution workflows with less than 250ms response time during peak hours.
Full-Stack Developer Intern at JoosWorks, Dec 2018 - Jan 2020 · 1 yr 2 mos, Noida, Uttar Pradesh, India, - Developed an automation job that gives the extracted SKUs of data from Shopify API with the integration of the Zorder API client. - Developed a dashboard that augments analytics insights. - Analyze & generate business insights automatically with google analytics. - Technologies used: AWS Lambda, Javascript, ReactJS, NodeJS, Google Sheets, MySQL, Lodash, etc.
Scaler
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