Top Python Jobs in Kolkata

As a Senior Solution Integrator, you will lead integration and deployment of Ericsson Charging solutions, ensuring high-quality implementations and efficient collaboration with teams to meet customer requirements.

Design and deliver end-to-end packet core and 5G core solutions, optimize network performance, collaborate with product, R&D and customer teams, lead transformations, perform protocol and data analysis, and support deployment and knowledge transfer.

Responsible for driving technical solutions based on customer needs, supporting consultants, providing technical guidance, and evaluating emerging technologies to recommend integration.

The role involves collecting data for model training, managing the ingestion pipeline, collaborating with scientists, and improving data processes.

Lead technical strategy and architecture, drive LCNC and custom Python application development, integrate OpenAI/AI solutions, design AWS cloud infrastructure, implement containerization and DevOps practices, oversee database design, and mentor engineering teams to deliver scalable, secure solutions.

Lead technical direction and architecture for a cloud-native SaaS platform. Design scalable distributed systems, drive platform modernization, mentor engineers, deliver high-performance backend services, improve observability and reliability, and apply AI-enabled engineering to boost productivity and quality.

Architect and develop block-level verification environments using SystemVerilog and UVM; create constrained-random verification suites; run front-end simulations (VCS/NC), analyze code and functional coverage, perform gate-level signoff, debug ASIC logic with designers, and write scripts (Perl/Python/Tcl/shell) to improve verification infrastructure.

The OCI Architect will lead cloud transformation initiatives, manage Oracle databases, execute migrations of Oracle EBS, and support presales activities. Responsibilities include designing OCI architecture, database administration, and automation development.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

As an AI SDET, you will validate AI systems, evaluate model behavior, ensure workflow reliability, build testing tools, and collaborate with teams on AI features.

Design and deliver cloud-native, containerized, and hybrid infrastructure solutions using OpenShift, Kubernetes, virtualization and automation. Lead IaC/Ansible automation, GitOps practices, solution validation, performance benchmarking, and provide technical leadership to customers and internal teams.

Design, build, and own end-to-end cloud-native SaaS features and services. Implement scalable APIs, event-driven workflows, background workers, and async processing. Improve performance, reliability, and observability; participate in design reviews, on-call rotation, mentoring, and cross-team collaboration. Apply AI-assisted development practices while maintaining security and quality.

Build, test, and maintain backend and/or frontend features for a cloud-native SaaS platform. Develop and consume REST APIs, write well-tested maintainable code, participate in design and code reviews, troubleshoot production issues, and collaborate with product, design, and QA. Learn and apply AI-assisted development and cloud-native practices.

Lead architecture and technical direction for cloud-native, high-scale SaaS platforms. Design distributed systems, drive platform modernization, mentor engineers, implement scalable APIs and backend services on AWS, and improve reliability, performance, observability, and DevOps practices.

Design, build, and maintain backend APIs and services for a real-time supply chain visibility platform. Own system architecture, real-time event ingestion, data normalization, ML integration, monitoring, and production debugging while collaborating with Product and Data Science to deliver scalable, high-availability features.

Develop and maintain Ansible modules and Terraform providers for storage infrastructure. Implement backend services in Python and Go, optimize performance, integrate with SQL/NoSQL databases, support CI/CD, containers (Docker/Kubernetes), cloud providers, and collaborate across product, test, and solutions engineering teams.

Design, automate, and deploy resilient infrastructure solutions combining Kubernetes and OpenStack across bare-metal, virtualized, and containerized environments. Build IaC with Terraform and Ansible, script in Python and Bash, manage KVM/Kube-virt hybrids, and optimize compute, storage (SAN, NVMe, SSD, RAID), and networking (L2/L3, SDN). Provide technical consultation and customer-facing support.

Design, build, and operate highly available AWS cloud-native infrastructure and multi-cluster Kubernetes platforms using IaC and GitOps. Implement autoscaling (Karpenter, KEDA), observability, SLI/SLOs, CI/CD improvements, incident management, and platform governance (AWS Control Tower). Troubleshoot production issues and drive reliability and automation across environments.