Top Python Jobs in Kolkata

Lead architecture and hands-on delivery of scalable full-stack solutions across UI, APIs, integrations, microservices, and cloud-native runtime. Define engineering standards, nonfunctional requirements, API contracts, security practices, and technical governance. Develop Angular or React interfaces and Java Spring Boot services, integrate Kafka, and support testing, containerization, Kubernetes deployments, Helm, and CI/CD automation. Mentor engineers, champion Agile practices, and collaborate with cross-functional teams to deliver secure, resilient, production-grade platform capabilities.

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.

Designs, automates, and maintains cloud-native infrastructure and CI/CD environments using scripting, configuration management, containers, Kubernetes, and monitoring tools. Creates technical documentation, MOPs, and runbooks; troubleshoots operational issues; engages customers and stakeholders; leads technical discussions and delivery across projects. The role also requires Agile/Scrum collaboration, strong communication, stakeholder management, mentoring, and ownership in global teams.

Leads a DevOps team delivering automation and platform solutions for Ericsson’s 4G and 5G customer environments. Responsibilities include performance monitoring, troubleshooting, system design, platform management, CI/CD automation, infrastructure and service lifecycle management, reliability improvements, and live-node support. The role requires expertise in cloud-native systems, Kubernetes, Python, Bash, Ansible, operating systems, public cloud platforms, DevOps pipelines, security tooling, and Agile methodologies.

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.

Designs, builds, automates, monitors, and optimizes Snowflake-based AI/ML infrastructure. Manages warehouses, databases, secure access, Snowpark workloads, Streamlit applications, data and feature pipelines, integrations, CI/CD, infrastructure-as-code, observability, governance, security, and cost optimization. Collaborates with data scientists, ML engineers, data engineers, platform engineers, and architects to deploy reliable enterprise AI solutions.

Designs and maintains scalable test automation frameworks, develops automated tests, integrates quality checks into CI/CD pipelines, and leads QA activities within Agile sprints. Performs exploratory, regression, risk-based, cross-browser, API, performance, security, and accessibility testing. Collaborates with product and engineering teams on BDD/TDD, manages defects in JIRA, documents testing, supports code reviews, and evaluates AI-enhanced testing methods.

Develop and enhance custom software solutions using GCP Vertex AI and cloud-native services. Design scalable applications, optimize distributed-system performance, and apply agile development practices. Lead technical decisions, mentor team members, establish software engineering best practices, coordinate stakeholders, and collaborate across teams to align development work with business goals.

Develop and architect scalable custom software solutions using modern frameworks, microservices, REST APIs, and cloud technologies. Provide architectural direction, governance, technical design, code reviews, and mentorship to engineering teams. Lead cloud, DevOps, AI modernization, and platform convergence initiatives while improving system reliability, performance, and security. Collaborate with product managers, stakeholders, and executive leadership to align engineering delivery with business outcomes.

Owns advanced Linux systems and storage administration in a 24×7 data center environment. Responsibilities include resolving critical incidents, maintaining availability and performance, troubleshooting infrastructure, supporting L1 teams, managing storage and backups, automating operations, documenting procedures, and coordinating cross-functional improvements. The role also involves escalation management, SLA adherence, monitoring, containerization, virtualization, and infrastructure optimization for AI-driven platforms.

Own advanced Linux system administration, storage management, infrastructure troubleshooting, and reliability in a 24/7 data center environment. Resolve critical incidents, support escalations, maintain high availability, automate infrastructure operations, and improve processes. Administer Linux, storage, backup, networking, containers, Kubernetes, and related platforms while documenting procedures, incidents, handovers, and service improvements. Mentor L1 and L2 teams and collaborate cross-functionally to meet SLAs.

Connect carriers and providers through APIs and file feeds, map and validate customer ERP and logistics data, diagnose integration failures, and support customer go-live. Automate recurring onboarding work through reusable templates, configuration, and self-service tooling. Document integrations and failure modes, manage delivery timelines for named customers, and hand over completed work to permanent engineering squads.

Leads QA strategy and builds automation frameworks for AI-powered applications. Owns functional, non-functional, API, integration, acceptance, system, regression, and end-to-end testing across distributed systems. Tests LLM behaviors including hallucinations, factual accuracy, prompt consistency, and RAG flows. Mentors junior QA engineers, collaborates with developers and data teams, and integrates testing into CI/CD pipelines.

Leads the technical direction, architecture, and engineering excellence of scalable SaaS platforms. Responsibilities include designing distributed cloud-native systems, guiding architectural decisions, mentoring engineers, contributing hands-on to backend and platform development, improving performance and reliability, and driving AWS, containerization, observability, automation, and AI-assisted engineering practices. The role requires deep expertise in software architecture, distributed systems, cloud technologies, and enterprise-grade application development.

Leads architecture, system design, and technical direction for scalable SaaS products and cloud-native platforms. Responsibilities include designing distributed systems, improving performance, reliability, security, and observability, guiding engineering standards, reviewing designs and code, mentoring technical teams, resolving complex production issues, and driving AWS, containerization, automation, and AI-assisted engineering initiatives. The role remains hands-on with backend services, APIs, platform components, and modernization efforts.

Administer highly available MySQL databases across global production environments. Responsibilities include replication and clustering, performance tuning, backup and recovery, monitoring, troubleshooting, reporting queries, database automation with scripting, documentation, and cloud modernization using GCP or AWS. The role collaborates with operations and development teams and requires strong Linux, SQL, database administration, analytical, and communication skills.

Designs and maintains end-to-end business process automations spanning browser/RPA tools, workflow platforms, backend services, APIs, databases, internal dashboards, and AI-agent workflows. The role develops reliable integrations, applies RAG and vector search, deploys containerized solutions through CI/CD, troubleshoots failures, documents architectures, and identifies manual processes suitable for deterministic or AI-driven automation. Collaboration with product, engineering, and business stakeholders is required.

Leads migration and development of Amazon Connect digital contact center solutions across chat, chatbot, SMS, email, and WhatsApp. Builds secure custom widgets and portals, integrates CRM platforms, and implements GenAI capabilities with Amazon Bedrock and other LLMs. Designs routing and flows, ensures scalability and compliance, and troubleshoots digital contact center environments.

Designs and manages Kubernetes and Amazon EKS containerized applications, develops Java or Python automation for CI/CD and infrastructure provisioning, supports Oracle databases, and maintains production environments. Responsibilities include incident management, troubleshooting, monitoring, performance tuning, availability improvements, and strengthening infrastructure security and efficiency through collaboration with cross-functional teams.

Develops and integrates radiating components and passive radiation-pattern structures for multiband base-station antennas. Responsibilities include 3D and 2D electromagnetic simulation, prototype RF measurements, performance optimization, troubleshooting, technical documentation, and supporting the product lifecycle through mass production. The role collaborates with international cross-functional teams and requires relocation to Rosenheim, Germany.

Architects, validates, and documents enterprise solutions built on S3-compatible object storage. Designs reference architectures and integration, interoperability, scalability, and performance tests across data protection, analytics, AI/ML, search, and data lake platforms. Troubleshoots distributed environments, analyzes telemetry, leads root-cause investigations, and supports customer and partner escalations. Produces technical documentation, benchmarks, sizing guidance, whitepapers, and presentations for engineering, partners, customers, sales teams, and executives.

Develop and deploy scalable cloud-native enterprise applications, APIs, microservices, event-driven architectures, and AI-enabled solutions. Build RAG applications, intelligent agents, automated testing frameworks, CI/CD pipelines, and infrastructure automation. Troubleshoot production issues, contribute to architecture and security standards, modernize platforms, identify AI opportunities, and mentor engineers. The role requires strong Microsoft-stack, cloud, DevOps, software architecture, and AI development expertise.

Develop scalable, high-performance backend applications using Python. Responsibilities include Core Python and object-oriented programming, functional programming, multithreading, multiprocessing, asynchronous development, REST API creation and integration, SQL query optimization, Apache Spark distributed processing, debugging, performance tuning, and problem-solving.

Manage Azure administration and DevOps infrastructure, including CI/CD pipelines, infrastructure as code, containers, Kubernetes, and microservice deployments. Deploy and scale AI and ETL workloads using Azure services, Python, and PySpark. Implement DevSecOps, secrets management, RBAC, monitoring, logging, governance, and Git-based collaboration while supporting Agile development practices.

Own AWS infrastructure through Terraform and build GitHub Actions CI/CD pipelines for Django, Python, Node.js, and React services. Manage production deployments, migrations, observability, incident response, PostgreSQL, Redis, messaging systems, security hardening, and reliability improvements. Develop Python and shell automation, maintain runbooks, and provide detailed shift handovers. The role requires production ownership, on-call participation, autonomy, and either normal or night-shift availability.