Krunal Saija

Software Engineer

Bengaluru, Karnataka, India7 yrs 2 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Designed a high-performance Layer-7 Load Balancer.
Built event-driven modules processing over 500K events/hour.
Published research in applied machine learning.

Stackforce AI infers this person is a Backend Engineer specializing in Cloud Infrastructure and Distributed Systems.

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Skills

Core Skills

Distributed SystemsCloud InfrastructureMachine Learning

Other Skills

JavaSpring BootMicroservicesKafkaRedisDevOpsTerraformGrafanaDatadogJava-11REST APIPostgreSQLAlgorithmsAnalytical SkillsResearch

About

I am a Backend Engineer with 6+ years of experience designing and building scalable, fault-tolerant cloud services. Currently, I work at Oracle Cloud Infrastructure (OCI), where I engineer the Layer-7 Load Balancer that powers Tier-0 services and handles mission-critical internal and external traffic with ultra-low latency and high availability. My focus is on building reliable distributed systems using Java, Spring Boot, Kafka, Redis, and microservices architecture. I have led initiatives around service reliability, asynchronous request handling, credential automation, observability, and performance optimization. I have also built end-to-end monitoring pipelines using Datadog, Grafana, and Terraform to improve operational excellence and reduce incident resolution time. Prior to Oracle, I built high-throughput data processing pipelines capable of processing more than 500K events per hour at Teikametrics, and improved 5G system performance at Radisys by optimizing scheduler data structures and low-level algorithms. I hold an M.Tech in Computer Science from NIT Trichy (Silver Medalist), where I also published research in applied machine learning for wireless networks. I enjoy solving challenging distributed systems problems related to scale, performance, and reliability, and collaborating across teams to deliver production-grade backend solutions. Open to opportunities aligned with backend engineering, distributed systems, cloud infrastructure, and performance-focused system design.

Experience

7 yrs 2 mos

Total Experience

2 yrs 5 mos

Average Tenure

2 yrs 3 mos

Current Experience

Oracle

Member of Technical Staff (SDE-2)

Feb 2024 – Present · 2 yrs 3 mos · Bengaluru, Karnataka, India · Hybrid

In my role at Oracle-OCI, I am responsible for designing and building a highly available Layer-7 Load Balancer for Oracle Cloud Infrastructure's Tier-0 services. Leveraging Java, SpringBoot, Microservices, Kafka, Redis, and DevOps practices, I ensured enterprise-grade performance and reliability for critical services.
Architect and develop a highly available, enterprise grade Layer-7 Load Balancer forOracle Cloud Infrastructure’s Tier-0 services, leveraging Java, Spring Boot, microservices, Kafka, and Cache, handling 95% of both internal and external traffic.
Design and implement an automated credential refresh cron job that integrates with Secret Service and client services, eliminating 50+ security compliance findings per quarter and reducing manual effort.
Implemented reactive microservices and asynchronous data flows, improving request throughput and reliability under peak workloads.
Engineered end-to-end monitoring and alerting pipelines using Terraform to provision alarms and integrate Grafana and Datadog dashboards, significantly improving system observability and enabling faster detection and resolution of high-severity incidents.
Enhanced team efficiency by mentoring 2 interns on best practices and product architecture, which streamlined code reviews and accelerated the onboarding process.

JavaSpring BootMicroservicesKafkaRedisDevOps+2

Teikametrics

2 roles

Software Engineer 2

Promoted

Apr 2023 – Jan 2024 · 9 mos · Bengaluru, Karnataka, India

As a skilled back-end engineer, I have honed my expertise in utilizing cutting-edge technologies and tools such as Java-11, Spring Boot, REST API, PostgreSQL, Kafka, and microservices. Used monitoring and alerting tools like Datadog, Sentry, squadcast to proactively monitor system performance and identify runtime issues.
Designed and implemented an event-driven module capable of processing 500K+ events per hour, leveraging Kafka and caching. Devised innovative strategies to reduce third-party API rate-limit throttling, enabling a 30% improvement in event processing throughput.
Independently delivered complex and highly scalable features/solutions from inception to completion, assuming full responsibility for the design, development, testing, UAT, and providing inter-team support.
Overcome intricate challenges by employing innovative and novel approaches to optimize performance. I am proficient in leveraging data structures to efficiently develop end-to-end and highly scalable features that drive impactful results.

Java-11Spring BootREST APIPostgreSQLKafkaMicroservices+3

Software Engineer

Feb 2022 – Apr 2023 · 1 yr 2 mos · Bengaluru, Karnataka, India

AlgorithmsAnalytical Skills

Radisys corporation

2 roles

Software Engineer

Jul 2019 – Feb 2022 · 2 yrs 7 mos

As a part of a ‘5G layer-2 (L2) development’ team, I am designing and developing the 5G core network component DU.
Identified the heap-based data structure for the scheduler to minimize the time to schedule the users. Implemented it in a cache efficient manner which leads to a lesser TLB miss and 4% faster performance.
Implemented end-to-end counters to calculate the throughput and numbers of slots taken to transmit the data buffer which helps to measure the overall system throughput.
Developed a real-time fully automated tool with visualization to detect the memory leak from logs.

Analytical SkillsResearch

Data Scientist (Intern)

Jan 2019 – Jun 2019 · 5 mos

In ‘5G system engineering R&D’ team, I was involved in decreasing the CSI reporting periodicity for the downlink communication channel, which decrease the overhead in communication.
Developed various ML/DL models and integrated them with another live module in a deployable manner.

Machine LearningDeep Learning