Senior Software Engineer
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Job Description
Critical Skills to Possess:
• 5–8 years in backend development
• Strong experience in microservices architecture
• Experience working on production-grade systems
Technical Skills
• Strong programming skills in:
o C++ / Go
• Experience with:
o REST APIs
o distributed systems
• Strong understanding of:
o multithreading
o concurrency
IoT & Messaging
• Experience with:
o MQTT (preferred / important)
o message queues / event systems
• Understanding of real-time data processing
Database
• Strong knowledge of PostgreSQL
• Experience in:
o query optimization
o indexing
o handling large datasets
Infrastructure & Deployment Awareness
• Experience with:
o Docker (important)
• Basic understanding of:
o Linux systems
o networking basics (ports, connectivity)
• Exposure to:
o Kubernetes / K3s (good to have)
o deployment environments (non-cloud setups preferred)
Good to Have
Job ID: 153968733
Skills:
telemetry , Java, Google Cloud Platform, Automated Testing, Docker, Terraform, Azure, Kubernetes, Python, Logging, AWS, Infrastructure as Code, Diagnostics, CI CD, oci, tracing, Source Control, Cloud-native applications, Observability
Skills:
Fileaid, Agile Methodology, Json, JIRA, Wsdl, Restful Apis, Mainframes, Confluence, Connect Direct, Cobol, Endevor, Soa, Jwt, Soap, Xpeditor, Visual studio, Devops, Jenkins, DB2, JCL, Gitlab, Zos, Oauth, Scheduler, DB2 Rest, IBM explorer for ZOS, CICD practices, MATLS, CICS Webservices, basic authentication, client authentication
Skills:
Golang, Prometheus, Grafana, Shell, Gcp, Terraform, Docker, ECS, Azure, Python, Kubernetes, AWS, GKE, Loki, Istio, AKS, EKS, Thanos, Envoy
Skills:
Golang, C, Networking, Data Structure, Cloud Storage, Databases, Docker, Python, AWS, Java, Load Balancers, Algorithms, Gcp, Linux, Azure, Kubernetes, Data protection technologies, Caching, Filesystem development, Backup Restore software, Block Storage, Monitoring, REST API design, Distributed System Design, C-sharp, Scaling, Cloud service APIs, Unix-like Operating Systems
Skills:
Cloud environments (AWS preferred), Video Processing, Debugging, Data structures, Algorithms, System Design, Distributed Systems, Asynchronous processing, Message queues, HLS streams, Media pipelines, Large file processing, Event-driven architectures
