Software Development Engineer 2

Role & responsibilities

Backend Development Expertise: Extensive hands-on experience (3+ years) in backend development,

with a focus on building and maintaining scalable, high-performance applications.

• Proficiency in Java is essential, including:
• Core Java Concepts: Strong understanding of core Java concepts such as object-oriented

programming (OOP), data structures, and exception handling.

• Multi-threading and Concurrency:

Expertise in Java multi-threading, concurrency control, and synchronization to develop efficient and

scalable applications.

• Collections Framework: In-depth knowledge of Java Collections, including

correct usage of data structures like HashMap, HashSet, ArrayList, and their performance trade-offs.

• JVM Internals: Understanding of Java Virtual Machine (JVM) internals, memory management, garbage

collection, and performance tuning.

• Functional Programming: Experience with Java 8+ features, including Streams API, Lambda

expressions, and functional programming concepts.

• Exception Handling and Best Practices: Proficiency in designing robust error handling mechanisms

and adhering to best practices for code reliability.

• Spring Boot and Microservices: Hands-on experience with Spring Boot, building REST APIs, and

Microservices architecture.

• Cloud Experience: Experience with Cloud platforms such as AWS, GCP, or Azure, focusing on

deploying and managing backend services.

• Database Architecture and Management: Strong experience in database design, architecture, and

management, including:

• SQL and NoSQL Databases: Proficiency in working with both SQL (e.g., MySQL, PostgreSQL) and

NoSQL (e.g., MongoDB, Cassandra) databases.

• Database Optimization: Experience in optimizing database queries, indexing strategies, and schema

design for high performance and scalability.

• Data Modeling: Ability to design data models that support application requirements, ensuring data

integrity and performance.

• Transaction Management: Understanding of ACID properties, transaction management, and handling

concurrency issues.

• Code Optimization and Performance Tuning: Proven experience in code optimization and

performance tuning, including:

• Profiling and Analysis: Use of profiling tools (e.g., JProfiler, VisualVM) to analyze application

performance and identify bottlenecks.

• Memory and CPU Optimization: Techniques to optimize memory usage, reduce garbage collection

overhead, and improve CPU efficiency.

• Best Practices: Adherence to best practices for writing efficient, maintainable, and high-performance

code.

• Engineering Best Practices: Proven experience in applying engineering best practices, including TDD

(Test-Driven Development), BDD (Behavior-Driven Development), and clean code principles. Strong

focus on code quality, maintainability, and reliability.

• Design and Architecture Excellence: Significant hands-on experience in software design and

architecture, including designing distributed systems, event-driven architecture, and ensuring scalability,

performance, and reliability. Ability to use tools such as UML, Lucidchart, or PlantUML for effective

technical design.

• Agile Engineering Practices: Proven ability to apply Agile methodologies, with direct involvement in

sprint planning, retrospectives, and daily standups. Hands-on experience in leading technical teams

through Agile ceremonies and ensuring the delivery of high-quality software.

• Technical Code Reviews and Mentorship: Extensive experience conducting code reviews to ensure

adherence to industry best practices and identifying areas for improvement. Ability to mentor and

provide actionable feedback to junior engineers, fostering engineering excellence within the team.

• Automation Enhancements: Proven ability to identify areas for automation, including scripting tasks

with Python, Shell, or Groovy to improve operability.

Experience in automating repetitive tasks to improve efficiency and reliability in software delivery.

• Cloud Infrastructure and Monitoring: Strong technical understanding of cloud infrastructure, including

deployment, scaling, and management of cloud resources. Experience with monitoring and logging

tools like Prometheus, Grafana, ELK Stack, or CloudWatch to ensure observability and troubleshoot

production issues efficiently.

• Hands-on Troubleshooting and Issue Resolution: Involvement in root cause analysis and providing

solutions for critical production issues. Ability to reduce Mean Time to Repair (MTTR) by implementing

effective monitoring, alerting, and troubleshooting practices. Experience with incident management

tools such as PagerDuty or Opsgenie.

Preferred candidate profile