.png){kind=logo}
Shashank Venkataramana
Mid-level Software Engineer specializing in AWS cloud infrastructure and data platforms
Connect with Shashank
Shashank already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Backend/infra-focused software engineer who built an autonomous Python API-orchestration agent using asyncio with strong reliability and observability (trace IDs, structured logs, retries/timeouts) and containerized dev workflow. Experienced deploying Python services to Kubernetes with Helm and running GitOps CI/CD via ArgoCD, plus leading an AWS IAM-to-Identity Center migration using CloudTrail-driven least-privilege role design. Also built and debugged a Kafka/SnapLogic bidirectional pipeline syncing Redshift and HBase, resolving missing-record issues via Kibana-driven investigation.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- Designed and implemented asyncio-based execution model for I/O-heavy workflows (timeouts/cancellation/concurrency)
- Built reliability layer with retries, timeouts, structured logs, and trace IDs to improve debuggability and run reliability
- Deployed Python services to Kubernetes with Helm (health checks, autoscaling, rolling updates)
- Implemented GitOps CI/CD with ArgoCD to reduce drift and manual deployment effort
- Stabilized CI pipeline by containerizing test setup and aligning local vs CI environments; added retries for external dependencies
- Led AWS access provisioning migration from IAM users to AWS Identity Center with phased rollout and parallel run
- Used CloudTrail analysis to consolidate overlapping permissions into least-privilege roles
- Debugged Kafka/SnapLogic streaming pipeline data loss using Kibana; fixed filtering logic to restore record handling
Like what you see? We'll introduce you to Shashank directly.
Experience
Education
Skills
Languages
Certifications
Browse Similar
Similar Candidates
Shreya Roy Koneri
Mid-level Software Engineer specializing in backend microservices and real-time payments
“Product-minded full-stack engineer who has owned customer-facing platforms end-to-end, including a unified web UI platform that increased adoption by 30% using feature flags and phased rollouts. Experienced designing TypeScript/React systems with microservices and RabbitMQ at scale, addressing reliability issues with DLQs, retries, and idempotent consumers, and building internal analytics tooling adopted company-wide within weeks.”
Neha Baadadmath
Executive Software Engineering Leader specializing in Trading, Payments, and FinTech platforms
“Entrepreneurially minded operator with experience in trading-platform environments who prototyped a vector-database layer to generate contextual incident narratives and reduce MTTR/escalations. Also building a non-tech venture: luxury wine distribution into India and broader Asian markets, sourcing directly from wineries with a Master of Wine and planning tier-1 launch via restaurant-owner connections while navigating complex import duties and licensing.”
Senior Full-Stack Software Engineer specializing in cloud-native web applications
Rohit Khoja
Mid-level Full-Stack Engineer specializing in cloud microservices and NLP/LLM systems
“Full-stack engineer with 3+ years using Java/Spring Boot (Citi) and React, who built a production observability dashboard monitoring 53 microservices across 17 clusters with real-time health/latency tracing and significant performance improvements (cut load time from ~10s). Also designed a serverless AWS face-recognition system (Lambda/S3/SQS) built to handle burst traffic (~1000 concurrent requests), demonstrating strength in scalable, event-driven architectures.”
Interested in Shashank?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Shashank
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent