Top Python Developer Jobs in Gurgaon

Lead and grow an engineering team building a cross-cloud AI application platform with MongoDB. Provide technical direction, define architecture, develop distributed systems, and improve performance, scalability, reliability, monitoring, and operations. Partner with product, program, design, and analytics teams to deliver major features, manage risks, remove obstacles, hire and mentor engineers, and support organizational growth.

Leads and mentors software engineers while driving architecture and technical roadmaps for modernization validation and LLM evaluation products. Designs and implements complex frameworks, ensures database state equivalence across implementations, collaborates with product stakeholders, enforces engineering best practices, contributes hands-on to code, and supports team growth and recruiting.

Design, develop, and maintain scalable test automation frameworks, internal tools, and utilities across web, native mobile, and API platforms. Apply AI/ML to improve test coverage, failure detection, and developer productivity. Perform root cause analysis, implement reliability fixes, optimize CI/CD workflows, and operate observability tooling such as Datadog and Splunk. Collaborate across teams, document technical initiatives, and drive improvements in quality, stability, and release efficiency.

Lead IMS and 5G Cloud Core planning, design, deployment, performance management, optimization, and lifecycle maintenance for telecom customers. Analyze KPIs, tune parameters, conduct QoS and capacity audits, troubleshoot network issues using PCAP and Wireshark, assess upgrade impacts, support RFPs, and lead technical governance discussions. Requires strong Ericsson Core network expertise, customer communication, architecture knowledge, and experience across multi-vendor operator environments.

Lead hands-on architecture, development, and mentoring for resilient enterprise back-end systems supporting Aladdin Accounting. Build Java and Spring Boot microservices, event-driven systems, APIs, data integrations, pipelines, Redis caching, and real-time financial data workflows using SQL Server, Snowflake, and Kafka. Drive code quality, testing, automation, performance, and production readiness while evaluating responsible AI and GenAI applications. Collaborate with Product, Operations, and Engineering teams to align technical solutions with business goals.

Design and build automation for M&O activities, develop Salesforce PNRM solutions (Apex, LWC, Visualforce), implement monitoring/insights, perform incident triage/RCA and deliver production-ready fixes, enable AI-driven operations, collaborate in an onshore-offshore model, and ensure release readiness and SDLC compliance.

Provide expert technical support to large MongoDB customers, resolving architecture, performance, recovery, and security issues; advise on best practices for running MongoDB at scale; interface with product and development teams; and contribute to internal tooling, performance benchmarking, and diagnostics.

Senior Software Engineer responsible for building, owning, and maintaining internal tools and platforms. The role leads technical design and architectural decisions, writes reliable and maintainable software, addresses technical debt and scalability risks, and collaborates across teams to deliver high-impact improvements. Candidates should have 6+ years of software engineering experience, expertise in a modern programming language, and familiarity with Kubernetes, containerized applications, and CI/CD systems. Full-stack experience with Next.js, FastAPI, or React is a bonus.

Provide L2/L3 production support for Java/Spring Boot applications on AWS. Monitor and troubleshoot using Splunk, Elastic APM, and Datadog; manage incidents in ServiceNow; perform RCA; automate ops tasks with scripting; support AWS services, databases, CI/CD, and participate in on-call rotations.

Build and ship core AI interface platform components connecting AI agents and developers to MongoDB (MCP Server, Agent Skills, Intelligent Assistant Platform). Define architecture, implement scalable backend services, own ambiguous projects end-to-end, mentor engineers, participate in on-call rotation, and collaborate across research, product, and design.

Lead design and implementation of AI Ops platform and cloud-based software solutions (AWS/GCP). Develop and maintain code (Golang, Python, Java), IaC, LLM/agent integrations, APIs/GraphQL, and automation. Mentor developers, create technical documentation and architecture diagrams, collaborate with QA and stakeholders, troubleshoot automation/operations issues, and drive continuous improvement.

Join as a Senior Site Reliability Engineer to design and operate a multi-tenant Kubernetes platform for AI applications. Improve performance, scalability, reliability, monitoring, and tenant isolation; participate in 24/7 on-call rotation and mentor junior SREs while automating operational processes.

Deploy, configure, integrate, develop, and troubleshoot telecom mediation platforms across bare metal, virtualized, cloud, and container environments. Build mediation workflows for high-volume CDR processing, integrate with network and billing systems, develop automation and streaming apps (Kafka/Flink), perform data reconciliation, and leverage Gen-AI and scripting for productivity and solution development.

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.

Seeking a Site Reliability Engineer to support real-time distributed environments, perform capacity planning, and manage application migrations. Candidates should be knowledgeable in UNIX/Linux, networking, SQL, and scripting with Python.

The Site Reliability Engineer will provide support and diagnose issues within a real-time, distributed environment, focusing on large-scale application and infrastructure management, with basic required skills in UNIX/Linux, networking, SQL, and scripting languages.

Designs, develops, debugs, and verifies embedded software and firmware for aerospace systems. Leads test architecture, verification strategies, certification activities, audits, design reviews, and bench setup. Evaluates emerging technologies, influences software architecture, automates processes with generative AI, and guides engineers while managing cross-functional stakeholders, quality, cost, and schedule objectives.

Lead the architecture and implementation of enterprise integrations using Workato and APIs, ensuring scalability and security while mentoring engineers and improving integration standards.

Lead design, build, and run secure, scalable backend services and APIs (Python/Django/FastAPI). Automate network infrastructure and provisioning, improve reliability via observability and automation, lead system design, mentor engineers, enforce CI/CD, security, and AI-assisted development best practices, and partner across teams for vendor evaluation.

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.

Lead architecture and design for ANTHEM tooling solutions in Honeywell Aerospace. Collaborate with business and technical leaders to deliver scalable, secure, cloud-native software, guide teams, recruit and develop talent, and ensure system integration, validation, and compliance.

Lead development and verification of avionics embedded software per DO-178B/C. Define test architecture, tools and processes; use C/C++/Python and GenAI to automate; drive technical decisions, PDR/CDR reviews, stakeholder coordination, talent strategy, and evaluate new embedded technologies. Mentor engineers and ensure quality, cost, and schedule objectives.

Lead embedded avionics software development and verification efforts following DO-178B/C. Define test architectures, tools, and processes; drive improvements, influence stakeholders, mentor engineers, and evaluate new technologies to improve productivity, quality, and cycle time.

Lead embedded avionics software development and verification per DO-178B/C. Drive test architecture, tools, and processes; conduct PDR/CDR/TRR and audits; use C/C++/Python, debuggers, simulators, VectorCAST/Cover and MATLAB; apply GenAI/LLMs to automate tasks; evaluate new technologies; mentor engineers and manage cross-functional stakeholders to meet quality, cost, and schedule goals.

Lead embedded software development and verification for avionics programs following DO-178B/C. Drive common test architectures, tools, processes, and automation (including GenAI). Influence stakeholders, plan and execute project schedules, mentor engineers, evaluate new technologies, and ensure efficient test strategies using tools like debuggers, simulators, Vector Cast/Cover, and MATLAB.