Job Description

Job Responsibilities (SE)
Job brief: We are looking for a Software Development Engineer 3 (Java & Spring Boot) who
would be responsible for the architecture design, code review, and technology build and
deployment activities of web applications. You would manage the Java Developers team
while defining their responsibilities for the projects and making sure that the products are
delivered without any technical issues.
Responsibilities: Take ownership of the entire journey: from design and architecture to
development, deployment, and monitoring. Roll up your sleeves to dive into incidents or
outages, analyze root causes, and contribute to impactful incident reports. Apply your
engineering and analytical skills to solve real business challenges at scale, making a
difference for millions of users. Build and enhance features in a distributed microservice
environment, delivering seamless experiences with millisecond-level performance for
millions of customers. Share your expertise by mentoring teammates and help maintain a
high standard of excellence across every stage of development.
Qualifications: Bachelor's degree in Computer Science from Tier 1 or Tier 2 colleges
Backend Development Expertise: Extensive hands-on experience 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.Job Responsibilities (Lead)
Job brief: We are looking for a Software Development Engineer 3 (Java & Spring Boot) who
would be responsible for the architecture design, code review, and technology build and
deployment activities of web applications. You would manage the Java Developers team
while defining their responsibilities for the projects and making sure that the products are
delivered without any technical issues.
Responsibilities: Take ownership of the entire journey: from design and architecture to
development, deployment, and monitoring. Roll up your sleeves to dive into incidents or
outages, analyze root causes, and contribute to impactful incident reports. Apply your
engineering and analytical skills to solve real business challenges at scale, making a
difference for millions of users. Build and enhance features in a distributed microservice
environment, delivering seamless experiences with millisecond-level performance for
millions of customers. Share your expertise by mentoring teammates and help maintain a
high standard of excellence across every stage of development.
Qualifications: Bachelor's degree in Computer Science from Tier 1 or Tier 2 colleges
Backend Development Expertise: Extensive hands-on experience 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.