Shivankur Sharma

Software Engineer

Bengaluru, Karnataka, India4 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expertise in distributed systems and cloud infrastructure.
Proven track record of optimizing performance metrics.
Strong problem-solving skills with a focus on real-world applications.

Stackforce AI infers this person is a Cloud Infrastructure Engineer with expertise in distributed systems and performance optimization.

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Skills

Core Skills

Distributed SystemsCloud Infrastructure

Other Skills

APIsAWSC++CircleCICloud ComputingCloud ServicesCollaborationCommunicationDatabasesDependency InjectionDjangoDockerFastAPIGCPGolang

About

Distributed Systems Engineer @ Nutanix | C++/Golang | Cloud Infra (AWS, GCP, K8s) I am a Computer Science enthusiast with hunger of learning new tech and pushing its boundaries for greater purpose of solving real life problems. A result driven problem solver with expertise in distributed systems.

Experience

Nutanix

2 roles

MTS 3

Jul 2024 – Present · 1 yr 8 mos · Bengaluru, Karnataka, India

1. C++ & Golang-based Distributed Data Protection APIs: Designed and optimized multi-node snapshot creation/recovery pipelines, improving snapshot latency by 21.3%, update efficiency by 29.6%, and restore time by 80.7% in production-scale workloads.
2. Cloud Infrastructure Lifecycle Management: Developed tooling in Golang and C++ for multi-cloud provisioning and upgrades (AWS/GCP), ensuring eventual consistency, fault tolerance, and high observability.
3. Performance Optimization in Distributed Services: Built a priority-aware concurrency limiter for Python/C++ services using semaphores, dynamic rate-limiting, and starvation prevention; reduced p80 API latencies by 37% and maintained fairness under burst load.
4. Fault-Tolerant APIs & Leader Election: Engineered leader-aware APIs with quorum checks, automatic failover, and readiness in distributed storage clusters.
5. Version-Agnostic Client Architecture: Implemented dependency-injected clients for compatibility across heterogeneous backend service versions, enabling safe rollouts and enhanced testability.

C++GolangCloud InfrastructureDistributed SystemsAPIs

Member of Technical Staff

Jul 2022 – Present · 3 yrs 8 mos · Bengaluru, Karnataka, India

1. Developed version-agnostic client implementations with dependency injections and factory design for data recovery as a service.
2. Created lifecycle management tools for native products, ensuring seamless onboarding to cloud services and compatibility across the product line.
3. Currently working on robust data recovery APIs for efficient and resilient operations.

GolangDependency InjectionCloud ServicesCloud Infrastructure

Birla institute of technology and science, pilani

Research Collaborator

Jan 2022 – Apr 2022 · 3 mos · Pilani, Rajasthan, India · On-site

Publications
"A Multi-objective Fuzzy Mathematical Model for Circular Economy with Leasing as a Strategy."
Management of Environmental Quality: An International Journal, 35(7), 1592–1621.
https://doi.org/10.1108/MEQ-06-2023-0185
https://www.emerald.com/insight/content/doi/10.1108/MEQ-06-2023-0185/full/html

Nutanix

Software Engineer Intern

Aug 2021 – Dec 2021 · 4 mos · Bengaluru, Karnataka, India

1. Streamlined Workflow Deployments and Upgrades:
. Spearheaded the development and refinement of an advanced orchestration tool, enabling effortless workflow deployments and software/service upgrades for the organization.
. Collaborated closely with cross-functional teams to understand their specific requirements and pain points, resulting in a tailored solution that maximizes productivity and reduces downtime.
2 . Innovative Multithreaded Mechanism:
. Pioneered the implementation of a sophisticated multithreaded mechanism for the service, enhancing its performance and concurrent processing capabilities.
. This breakthrough solution significantly improved the efficiency of the orchestration tool, allowing it to handle multiple tasks simultaneously without compromising on quality or speed.
3. Stateless Service and Roll-back Capability:
. Overcame a major challenge by developing a stateless service architecture without relying on conventional layer7 load balancers or API gateways.
. By utilizing inter-thread communication techniques, successfully implemented a cancel feature across multiple running threads, introducing a roll-back capability for any deployment in progress.
. This feature ensures greater flexibility, resilience, and reliability for the entire deployment process, mitigating risks and minimizing potential service disruptions.