Software Engineer

DO:

• •Highlight measurable improvements (latency, throughput, user growth).
• •Include tech stack for each major project.
• •Show leadership in migration, refactoring, or scaling efforts.
• •Emphasize collaboration across product and DevOps teams.

DON'T:

• •Use vague terms like 'worked on APIs' without metrics.
• •List irrelevant technologies not used in projects.
• •Exclude results of implemented changes.
• •Ignore team size and project scope.

DO:

• •Mention relevant programming languages (Java, Python, JavaScript).
• •Include CI/CD, Docker, Kubernetes, and cloud expertise.
• •List databases with context of usage (PostgreSQL, MongoDB).
• •Highlight frameworks like Spring Boot, React, Node.js.

DON'T:

• •Overload skills section with unrelated tools.
• •Use acronyms without expanding them.
• •Forget to include versioning tools (Git, GitHub Actions).
• •Ignore soft skills in technical context (collaboration, code reviews).

DO:

• •Include quantifiable business or technical achievements.
• •Mention user scale or transactions handled.
• •Show leadership in mentoring or code review practices.
• •Highlight contributions to open-source or GitHub portfolio.

DON'T:

• •List achievements without numbers.
• •Exclude projects with major impact on business KPIs.
• •Forget to add GitHub or portfolio link if relevant.
• •Omit collaboration with product teams.

Performance Metrics:

• •Improved system latency by 40%
• •Reduced CI/CD deployment time by 80%
• •Enhanced customer engagement by 25% via analytics dashboard
• •Achieved 85% test coverage on production code

Scale Metrics:

• •Scaled applications to serve over 5M users
• •Handled 100K+ secure transactions per month
• •Managed backend APIs with 2M+ daily active users
• •Coordinated 4-engineer team for migration projects

Business Metrics:

• •Increased platform revenue by 18% via payment gateway integration
• •Reduced operational costs by 30% with infrastructure optimization
• •Delivered 95% on-time project completion rate
• •Improved customer retention by 20% via feature enhancements

Programming Languages:

Java, Python, JavaScript (ES6+), SQL

Frameworks & Tools:

Spring Boot, React.js, Node.js, Docker, Kubernetes, AWS (EC2, S3, RDS, Lambda)

Development Practices:

Microservices Architecture, CI/CD Automation, Agile/Scrum, API Design, Performance Optimization