Distributed Systems & Backend Engineer

MARY SHYLU

Backend & Distributed Systems Engineer

Phone: +1-226-***-**** Email: **************@*****.*** Location: Ontario, Canada PROFESSIONAL SUMMARY

Performance-minded and optimization-focused Backend Engineer with over 5 years of professional experience designing, building, and scaling high-throughput distributed systems and real-time microservices. Highly adept at managing massive data sets, optimizing low-level memory usage, and executing advanced data structure and algorithm strategies to handle millions of requests per second. Proven track record in orchestrating event-driven architectures utilizing distributed messaging queues like Apache Kafka, and optimizing key-value stores and relational databases. A collaborative technical partner who excels at greenfield development, complex platform integrations, and driving scalable software solutions that expand market reach. TECHNICAL SKILLS

Languages & Paradigms: Go (Alignment), Core Java (8/11), C, C++, SQL, PL/SQL, Distributed Systems Architecture, Low-Latency Optimization

Microservices

Architecture:

Scalable Real-Time Microservices, Service-to-Service Communication, Multi-Threading, Concurrency, High-Throughput Systems

Databases & Stores: PostgreSQL, MySQL, Oracle, MS SQL Server, DB2, NoSQL (MongoDB, Apache Cassandra, DynamoDB, Redis/Aerospike alignment)

Messaging & Queues: Apache Kafka, AWS SQS, Kinesis, RabbitMQ, Apache ActiveMQ, JMS, IBM MQ Cloud & Infrastructure: AWS (EC2, S3, RDS, SQS, CloudFormation), Google Cloud Platform (GCP), Docker, Kubernetes, Terraform, Ansible

Web & Platform: RESTful Web Services, GraphQL (Alignment), SOAP, JSON, Angular (2-10), TypeScript, React JS, Node.js

Testing & Quality: JUnit, Mockito, Log4j, Jasmine, Karma, Postman, Swagger UI, Test-Driven Development

(TDD), BDD

PROFESSIONAL EXPERIENCE

Kinaxis — Distributed Systems & Microservices Developer May 2025 – Present Ottawa, ON Architected and evolved cloud-native, low-latency microservices engineered to process heavy concurrent data streams, directly matching high-scale distributed requirements. Engineered high-throughput event-driven data pipelines utilizing Apache Kafka to enable real-time streaming, optimization, and reliable processing of massive datasets. Wrote memory-optimized and performance-efficient backend code utilizing advanced data structures, algorithms, and multi-threading to resolve performance bottlenecks under high-volume traffic. Designed scalable service-to-service communication pathways across multi-tier applications using robust RESTful APIs and modern data schema validations.

Managed containerized infrastructure deployments and system orchestration using Docker clusters and Kubernetes across AWS and GCP cloud platforms.

Optimized data tier interactions across multiple relational databases (PostgreSQL, Oracle, DB2) through complex query fine-tuning, stored procedures, and memory-conscious indexing. Authored automated Infrastructure as Code (IaC) configuration templates using Terraform and Ansible to scale high-availability development and production environments.

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Collaborated closely with cross-functional DevOps, QA, and frontend engineering teams in an Agile/Scrum ecosystem to ensure high system maintainability and continuous delivery. Actalent — Full Stack Developer (Backend & Core Optimization Focus)

Aug 2023 – May 2025 Mississauga,

ON

Supported, designed, and optimized high-performance microservices, implementing low-level concurrency mechanisms and Java multi-threading parsers to accelerate data ingestion speeds. Integrated decoupled distributed messaging layers via Apache Kafka and ActiveMQ to guarantee resilient asynchronous processing for high-volume event streams. Spearheaded a critical data migration project, utilizing Terraform to safely shift production infrastructure into AWS cloud platforms, configuring resilient RDS instances and storage solutions. Successfully executed a pilot modernization initiative converting legacy data stores to modern, highly available relational (PostgreSQL/DB2) and NoSQL database platforms with strict schema validation. Constructed clean Single Page Applications (SPAs) with Angular and React JS, bridging front-end user experience components with high-performance server-side web APIs. Built and maintained automated CI/CD deployment pipelines using Docker, Jenkins, and GitHub, which significantly reduced integration cycle times and deployment friction. Wrote and maintained robust automated test suites using JUnit and Mockito, strictly adhering to Test-Driven Development (TDD) principles to maximize code coverage and quality. HSBC — Backend Software Engineer Mar 2021 – Jul 2023 Mumbai, IN Developed secure, high-concurrency enterprise applications applying robust Object-Oriented Programming

(OOP), complex data handling, and efficient memory management practices. Modernized a core banking legacy monolithic application into an agile, highly scalable microservices architecture deployed to cloud infrastructure.

Migrated existing backend cloud infrastructure from Elastic Beanstalk to containerized Docker environments managed by Kubernetes to achieve automated elasticity and high availability. Designed, validated, and meticulously documented enterprise-grade REST APIs using Swagger UI and Postman Interceptor to maintain rigorous data contracts. Implemented secure authentication and authorization mechanisms across distributed system endpoints using OAuth2 and enterprise security modules.

Constructed optimized real-time data streaming pipelines using Apache Spark Streaming and Kafka to handle secure transactional and analytical operations.

Transitioned client-facing web layers from legacy AngularJS to Angular 2+, building robust modular components to interface with high-performance underlying APIs. EDUCATION & CERTIFICATIONS

Bachelor of Technology in Computer Science and Engineering KG Reddy Engineering College, Telangana, India

Technical Certifications: Certified Java Developer Distributed Systems & Algorithms Optimization Specialist

(High-Scale Microservices)

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