, and a proven ability to lead software development efforts from design to deployment. You will work closely with cross-functional teams and US-based clients to build scalable, secure, and high-performance enterprise applications. The ideal candidate will also play a key role in mentoring junior engineers, driving best practices, and ensuring the delivery of high-quality solutions.
Key Responsibilities
? Solution Design & Architecture
Analyze client requirements and design scalable, maintainable technical solutions
Participate in architectural discussions and lead technical decision-making
Ensure security, scalability, and performance are baked into application designs
? Implementation & Delivery
Lead full-cycle backend development using
Java
,
Spring Boot
, and
microservices
Customize and extend product capabilities based on client needs
Plan, review, and manage code quality, deployments, and release cycles
? Cloud & Data Engineering
Design and implement cloud-native applications using
AWS services
such as S3, SQS, ECS, MSK, RDS, Glue, SNS, and CloudWatch
Work with both
SQL and NoSQL databases
, including
PostgreSQL
and
MongoDB
Build and manage
ETL pipelines
and large-scale data integration workflows using AWS Glue, PySpark, Redshift, Athena, etc.
? Monitoring, Observability & Security
Set up and maintain logging and tracing systems using the
ELK stack
Monitor system health and performance using CPU, memory, and I/O metrics
Implement secure coding practices and address vulnerabilities such as injection attacks, XSS, IDOR, and improper authentication
? Team Collaboration & Leadership
Collaborate with US-based stakeholders and distributed development teams
Mentor junior developers and foster a high-performance engineering culture
Participate in agile ceremonies and ensure timely delivery of sprint commitments
Mandatory Skills
Strong expertise in
Java
and
Spring Boot
for backend application development and REST API design
Hands-on experience with
AWS cloud services
such as S3, SQS, ECS, MSK, RDS, Glue, SNS, and CloudWatch
Proficiency in
PostgreSQL (SQL)
and
MongoDB (NoSQL)
databases
Experience building and managing
ETL and Big Data pipelines
using AWS Glue, PySpark, Kafka connectors, Redshift, Athena, and EMR
In-depth understanding of
application security
, including secure coding practices and common vulnerability mitigation
Familiarity with
observability and monitoring tools
, especially the ELK stack
Proficiency in
workflow engines
such as
Camunda
,
Drools
, or DMN-based systems
Excellent
debugging and performance optimization
skills in Java
Nice-to-Have Skills
Knowledge of
Python
for scripting or data engineering tasks
Experience with
DevOps tools
like Jenkins, SonarQube, and CI/CD pipelines
Familiarity with
Docker
and containerization concepts
Exposure to
AI-enhanced IDEs
like GitHub Copilot or Amazon CodeWhisperer
Experience with
Identity and Access Management (IAM)
tools such as
Keycloak
or
Okta
Certifications such as
AWS Certified Developer
or
Spring Professional
(preferred)
What We Offer
Opportunity to lead and contribute to
mission-critical enterprise software solutions
Collaborative work environment with
cross-functional, global teams
Access to the
latest cloud and backend technologies
Scope for
technical leadership and mentorship
A dynamic culture of
continuous learning and innovation
Job Types: Full-time, Permanent
Pay: ?2,000,000.00 - ?5,000,000.00 per year
Benefits:
Health insurance
Provident Fund
Application Question(s):
Do you have over 5 years of experience with Java and Spring Boot?
Have you worked with AWS services like S3, SQS, ECS, MSK, RDS, or Glue?
Have you built or maintained ETL pipelines using AWS Glue, PySpark, or Redshift?
Have you performed performance tuning or debugging in production Java applications?
Have you implemented measures to prevent security vulnerabilities (e.g., XSS, SQL Injection, IDOR)?
Have you worked with workflow engines like Camunda, Drools, or DMN?
Have you used monitoring or observability tools like ELK stack or CloudWatch?
Have you mentored junior developers or led a technical team?
Have you integrated IAM solutions like Keycloak or Okta into applications?
Have you used AI-assisted development tools like GitHub Copilot or Amazon CodeWhisperer?
Are you confident in solving problems involving Data Structures & Algorithms (DSA)?
Work Location: In person
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