Backend Developer | Distributed Systems | Cloud-Native Architecture

Arjun Dev

Professional Summary

Cloud-native backend engineer specializing in resilient, scalable systems with microservices and event-driven architectures. Skilled in modern frameworks and infrastructure tools to deliver high-performance backend platforms with clean, testable code.

Work Experience

Software Intern at NimbusTech Cloud Engineering Program (via Forage)

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Developed backend services using Spring Boot and AWS, building secure REST APIs and microservices. Implemented data modeling, service orchestration, and containerization using Docker. Applied best practices in DTO usage, JPA, and exception handling. Wrote and ran JUnit tests integrated with CI pipelines to ensure robust, reliable deployments. Collaborated with cross-functional teams to refine API requirements and improve system scalability. Automated deployment workflows using GitHub Actions, reducing manual intervention by 30%. Monitored system performance and optimized resource usage to maintain high availability. Documented backend architecture and coding standards to facilitate team onboarding and maintenance.

Education

Bachelor of Engineering in Computer Science and Engineering

Zenith Institute of Technology

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Skills

Technical Skills

  • TypeScript
  • Go
  • Python
  • Java
  • SQL
  • NestJS
  • Spring Boot
  • Next.js
  • FastAPI
  • AWS
  • Docker
  • Kubernetes
  • GitHub Actions
  • Terraform
  • PostgreSQL
  • MongoDB
  • Redis
  • DynamoDB
  • Kafka
  • RabbitMQ
  • gRPC
  • GraphQL
  • Prometheus
  • ELK Stack

Soft Skills

  • Problem Solving
  • Collaboration
  • Adaptability
  • Communication
  • Attention to Detail
ATS Score
85/100
Projects
83/100
Header
90/100
Education
70/100
Certifications
0/100
Skills
90/100
Work Experience
75/100
Profile
88/100
Expand work experience beyond a single internship to show sustained professional development.
Add certifications relevant to cloud and backend development to improve professional credibility and ATS ranking.
Quantify achievements in profile highlights and projects to better demonstrate impact and results.
Standardize formatting of dates and locations across all sections for improved ATS parsing.
Consolidate redundant skills entries to enhance clarity and focus.
Strong expertise in cloud-native backend development with microservices and event-driven architectures.
Hands-on experience with modern infrastructure tools like Docker, Kubernetes, and CI/CD pipelines.
Well-documented project portfolio demonstrating practical application of distributed systems and scalable API design.
Clear communication of technical skills and open-source contributions indicating community engagement.

Projects

83%
Projects are well-described with clear technical details and measurable impacts, which is excellent for demonstrating hands-on skills.
Including technologies used in each project explicitly would improve keyword density for ATS.
Adding project dates and roles played can provide better timeline context and clarity.
Consider linking to project repositories or demos if possible to increase recruiter engagement.

Header

90%
Header includes full name, professional headline with relevant keywords, and multiple contact links (email, portfolio, GitHub, LinkedIn) which improve ATS and recruiter recognition.
Consider adding a physical address or at least city and country more prominently to enhance location-based ATS filtering.

Education

70%
Education section includes degree, institution, and study period, which meets basic ATS requirements.
Adding GPA, relevant coursework, or academic honors could strengthen this section and provide more context.
Consider formatting dates uniformly and adding location of the institution.

Certifications

0%
Section missing. Adding relevant certifications (e.g., AWS Certified Developer, Kubernetes Administrator) would enhance credibility and ATS keyword match.

Skills

90%
Comprehensive and well-categorized skills section covering hard skills, soft skills, and tools, which enhances both ATS and recruiter scanning.
Inclusion of modern and relevant technologies (e.g., Kubernetes, Terraform, Kafka) aligns well with industry standards.
Avoid redundancy, e.g., Docker and Kubernetes appear under both HardSkills and Tools; consolidating can improve clarity.

Work Experience

75%
Detailed description of internship work with specific technologies and processes (Spring Boot, AWS, Docker, CI/CD) provides good ATS keyword density.
Use of action verbs and quantifiable outcomes (e.g., 'reducing manual intervention by 30%') is strong and should be maintained.
Experience limited to a short internship; adding more full-time roles or freelance projects could strengthen this section.
Format dates consistently (e.g., 'July 2024 - August 2024') and consider adding location for each role to improve ATS parsing.

Profile

88%
Summary is concise and keyword-rich, highlighting cloud-native backend engineering and microservices expertise which aligns well with ATS keyword requirements.
Profile highlights list measurable skills and technologies, but could be improved by quantifying some achievements (e.g., 'Built scalable APIs serving X users').
Consider integrating objective statement or career goals to clarify candidate’s direction, which some ATS parse for relevance.