Experience: 4-8 Years Location: Goregaon(Mumbai) Employment Type: Full-time Mode: WFO (5 Days) Job Summary: We are seeking a highly skilled and experienced Java Backend Developer with 46 years of hands-on experience in designing and implementing scalable backend systems. The ideal candidate should be proficient in both SQL and NoSQL databases, have strong experience in building microservices using Spring Boot, and demonstrate a deep understanding of multithreading and concurrency in Java. Key Responsibilities: Design, develop, test, and maintain robust and scalable backend services and APIs using Java and Spring Boot. Develop microservices architecture-based solutions with high performance and reliability. Work with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases. Optimize application performance through multithreading and concurrency management. Collaborate with front-end developers, DevOps, and QA teams for seamless integration and deployment. Write clean, maintainable, and well-documented code following best practices and coding standards. Participate in code reviews and provide constructive feedback to team members. Troubleshoot and resolve issues in development, test, and production environments. Required Skills: 4–6 years of professional experience in backend development using Java. Strong hands-on experience with Spring Boot and microservices architecture. Proficiency in SQL and NoSQL databases. Strong understanding and application of multithreading, concurrency, and performance optimization. Good knowledge of RESTful API design and implementation. Experience with version control systems like Git. Familiarity with CI/CD tools and containerization (Docker/Kubernetes) is a plus. Strong problem-solving skills and a proactive attitude.
Experience: 5+ Years Location: Hyderabad Employment Type: Full-time Mode: WFO (5 Days) Responsibilities Would be working with team for building distributed systems and payment applications at population scale. Responsible for building automations and handling end to end deployments. Responsible for adopting best practices across the team for CI/CD. Responsible for standardizing and optimizing the processes. Responsible for building monitorings and observability. Responsible for managing the underlying infrastructure and software stacks. Responsible for adopting cloud native application strategy. Skills Experience in handling production systems Experience in managing on prem setups and BareMetal servers. Experience in managing Kubernetes clusters (Storage Orchestrators, CNIs, Ingress and other resources) Experience in managing storage orchestrators such as Ceph, Rook Ceph, Charmed Ceph, Longhorn etc. Experience in managing and optimizing resources in Kubernetes clusters. Experience in deploying and managing observability stack which includes Elastic Search, Kibana, Logstash, Fluent Bit, Prometheus, Grafana etc. Experience in managing software load balancers such as Nginx or HAP Roxy. Experience in writing shell-based automations. Experience in writing helm-based deployments. Familiarity on writing terraform scripts, ansible, Argo CD etc. Familiarity on writing CI/CD pipelines and creating deployment automations.
Experience: 5-8 Years Location: Hyderabad Employment Type: Full-time Mode: WFO (5 Days) Job Summary: We are seeking a highly skilled and experienced Java Backend Developer with 5-8 years of hands-on experience in designing and implementing scalable backend systems. The ideal candidate should be proficient in both SQL and NoSQL databases, have strong experience in building microservices using Spring Boot, and demonstrate a deep understanding of multithreading and concurrency in Java. Key Responsibilities: Design, develop, test, and maintain robust and scalable backend services and APIs using Java and Spring Boot. Develop microservices architecture-based solutions with high performance and reliability. Work with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases. Optimize application performance through multithreading and concurrency management. Collaborate with front-end developers, DevOps, and QA teams for seamless integration and deployment. Write clean, maintainable, and well-documented code following best practices and coding standards. Participate in code reviews and provide constructive feedback to team members. Troubleshoot and resolve issues in development, test, and production environments. Required Skills: 5-8 years of professional experience in backend development using Java. Experience with Java 11 or 17( preferably with 17 and above), Spring frameworks. Proficiency with JVM Architecture, GC tuning / optimisation. Strong hands-on experience with Spring Boot and microservices architecture. Proficiency in SQL and NoSQL databases. Strong understanding and application of multithreading, concurrency, and performance optimization. Good knowledge of RESTful API design and implementation. Experience with version control systems like Git. Familiarity with CI/CD tools and containerization (Docker/Kubernetes) is a plus. Strong problem-solving skills and a proactive attitude.
Location: Bangalore (with short/medium-term travel opportunities within India) Experience: 712 years Job Type: Full-time About the Role We’re looking for seasoned data engineers who can take end-to-end ownership of complex data engineering engagements—right from architecture and design to development and delivery. You’ll work with client stakeholders, lead data initiatives, and guide teams in building modern, scalable data platforms that support business intelligence, advanced analytics, and AI/ML applications. Key Responsibilities Lead the design and implementation of scalable, secure, and high-performance data architectures. Architect and optimize data pipelines for batch and real-time processing across varied source systems. Model and implement enterprise-grade data lakes, lakehouses, and warehouses to support analytical workloads. Collaborate with client teams and internal stakeholders to define data strategies, tooling, and standards. Set up and enforce best practices around code quality, pipeline observability, testing, and CI/CD. Guide technical decision-making and mentor junior/mid-level engineers. Troubleshoot complex data issues and provide architectural solutions across heterogeneous systems. Must-Have Skills Strong expertise in Python and advanced proficiency in SQL. Deep understanding of data engineering architecture: ETL/ELT pipelines, data modeling (dimensional and normalized), warehousing, streaming systems, and data integration patterns. Proven experience with distributed data processing frameworks (e.g., Apache Spark, Flink). Proficient with orchestration tools like Airflow or similar, and production-grade data workflows. Solid grounding in cloud-native data services (compute, storage, IAM, monitoring). Experience leading technical implementations and collaborating with business stakeholders. Good to Have Multi-cloud experience (AWS preferred; GCP or Azure familiarity is valued). Hands-on experience with Databricks, dbt, and collaborative data development environments. Awareness of data governance, security, lineage, and quality frameworks. Certifications such as AWS Certified Data Analytics, Databricks Certified Data Engineer Professional, or equivalent. Other Expectations Strong leadership, ownership, and client communication skills. Ability to balance hands-on contributions with technical guidance. Adaptability to new tools, tech stacks, and problem domains. Willingness to travel within India for short/medium-term client assignments.