Python Developer in India

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join The Integrations & Application Engineering team owns the integration and automation platforms at Airbnb. We enable teams across the company to self-serve in connecting their systems and automating solutions, and we integrate Airbnb’s enterprise systems end-to-end. The team also builds and manages custom in-house solutions and the application infrastructure that supports them. This is a hybrid IC and people-leadership role focused on Finance integrations and automations. As a Tech Lead Manager, you will lead and grow a team of engineers while operating hands-on at a senior IC level, setting technical direction, owning delivery, and writing and reviewing code yourself. We’re looking for someone with deep ERP product knowledge who builds integrations in general-purpose languages, takes ownership of systems and people, and is enthusiastic about applying AI, building tools and integrations with Claude Code that extend what the team can do. A Typical Day Lead the Finance and ERP integration practice: set direction, run initiatives in parallel, and own the systems and processes your team supports. Balance management with hands-on work: unblock the team, review designs and code, and build complex integrations, backend services, APIs and MCPs yourself. Partner with Finance, Procurement, and cross-functional teams to translate requirements into integrations, automations, and reporting. Coach and grow engineers and contractors through design reviews, architecture discussions, and career development. Own the smooth operation of month-end financial integrations and reporting, proactively surf

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. As a Staff DevSecOps Engineer in the ET team, you will be the technical authority and architectural owner responsible for embedding security, compliance, and automated release practices across our enterprise applications ecosystem—including Salesforce, NetSuite, Workday, Adobe Experience Manager (AEM), and modern web stacks (Vercel/Next.js) . In this role, you will bridge development, security, and enterprise ops. You will design, scale, and maintain automated security pipelines, unified observability, edge defense, and identity management across critical business systems. You will serve as a technical leader—driving secure-by-design architectures, threat modeling, and automated governance across complex enterprise platforms. Key Responsibilities: Enterprise DevSecOps Architecture & CI/CD Security Multi-Platform CI/CD Governance: Architect and scale enterprise-grade CI/CD and deployment frameworks across diverse systems (Salesforce via Gearset/Copado , AEM/Web via CircleCI/GitHub Actions , NetSuite, and Workday). Shift-Left Security Pipeline: Integrate automated SAST, DAST, Software Composition Analysis (SCA), and secrets detection into workflows using tools like SonarQube, Snyk, PMD, GitGuardian, and OWASP ZAP . Secrets & Supply Chain Management: Standardize secrets management (e.g., HashiCorp Vault ) and safeguard third-party dependencies, API integrations, and package deployments across all enterprise platforms. Edge, WAF & Network Security G

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. We’re looking for Fresh graduates from top Universities who want to push AI from theory into history-making reality.. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. What is the AI resident/Data Resident program? A 6 month remote internship opportunity offering you a glimpse into the real world applications of machine learning and data engineering to build scalable solutions for enterprises. Our aim - creating an experience that allows final year college students to learn how fast growing startups work, gain practical skills, build real world experience, develop a greater understanding of the GenAI and data engineering industry and form valuable connections. Become a part of our extraordinary team of world-class software engineers and leading machine learning and data engineering practitioners. At the end of their stints, top performing residents will get an opportunity to meet the co- founders and the team in our Bangalore office and shall be awarded full time positions at Ema. We envision this program as a launchpad for future AI/Data leaders of our company. Who is eligible for this

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Enterprises are modernising data platforms and processes at a growing rate to meet the demands of their customers. A majority of this journey requires not just technical expertise but also the ability to drive predictability, and manage complexity. Snowflake’s Professional Services Organisation offers our customers a market-leading set of technical capabilities as well as best practices for modernisation based on experienced leadership. Our portfolio of modernisation solutions spans data migrations, validation, application development, data sharing, lakehouse implementations, data science, and AI. As a Solutions Architect in our team, you will be responsible for delivering exceptional outcomes for our teams and customers during our modernisation projects, with a focus on modern data architectures including lakehouses and streaming data. You will engage with customers to migrate from legacy data platforms, including those based on Cloudera, and build modern data pipelines and lakehouse solutions on Snowflake where customers can then leverage downstream AI and Machine Learning solutions. You will act as the technical lead and expert for our customers throughout this process, guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augm

Senior Product Engineer At Amplitude, we’re building the operating system for digital products. While we’re known as the leader in product analytics, our Statsig team is redefining how companies learn, iterate, and ship better experiences. Statsig is one of the fastest-growing and most strategic bets at Amplitude. It sits at the intersection of product, data, and decision-making, and we’re looking for a Product Engineer to help take it to the next level. Why this role matters This isn’t a “take tickets and ship code” role. You’ll operate as an owner, shaping both the product and the technical direction of a system used by some of the most sophisticated product teams in the world. You’ll work across the stack, React frontend, Node.js and Python backend, to build intuitive, high-performance experiences that make experimentation accessible, powerful, and trustworthy. What you’ll do Own critical product surfaces end-to-end from ideation to production and beyond Drive product direction in partnership with design and product leaders Build and evolve systems across React, Node.js, and Python that scale with customer growth Leverage modern AI tooling to dramatically accelerate development, prototyping, and iteration cycles Raise the bar for engineering quality - code, architecture, and user experience Lead by example - through hands-on development, technical mentorship, and thoughtful decision-making Move fast on ambiguous problems, turning ideas into shipped, customer-facing value What we’re looking for 3+ years of experience in software engineering Education: B.S. in Computer Science or an equivalent technical field Proven experience operating at a senior-level scope. You’ve led large, ambiguous initiatives with significant business impact Strong full-stack expertise (React + backend systems such as Node.js and/or Python) A deep sense of ownership - you don’t wait for direction; you create it Exceptional product taste - you care deeply about UX, details, and building thin

We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Engineering Manager, Kubernetes Observability We are a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, we build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems. As we continue to expand our global footprint, we're looking for passionate people to join our mission. If you're ready to help the world's best companies optimize their digital applications, we invite you to explore a career with us! Your Opportunity We are looking for an experienced Engineering Manager with an eagerness for technology, people, project delivery, and process optimization to lead our Kubernetes Observability team. At New Relic, we love making software that improves the lives of people who make software. The Infrastructure product organization drives New Relic’s customer-facing monitoring experiences, and the Kubernetes ecosystem is at the absolute center of this mission. In this role, your team develops and maintains the critical Kubernetes integrations that give our customers full, real-time observability into the health and performance of their K8s environments. You will lead a high-performing team

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. You Will: Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time. Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Global Presales team The Global Presales organization at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects, and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organizations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart. Identity Senior Solution Specialist - Identity Governance As a Senior Solution Specialist, you will be part of the presales team that delivers sales presentations and product demonstrations to educate customers on the best ways to implement Okta Identity Governance(OIG) solutions. You will report to the Manager in the OFCTO organization. What you’ll be doing Strategic Customer Engagement: Support strategic customer conversations aligning with technical and engineering leaders and stakeholders. Deliver on emerging trends, industry best practices, and identity-driven digital transformation. Assist in preparing executive-level messaging and participate in strategic discussions to align Okta’s solutions with customer business outcomes. Develop customer-centric points of view

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. What You’ll Be Doing Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP. Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP. Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams. Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning. Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity). Participate in t

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. What You’ll Be Doing Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP. Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP. Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. Lead complex technical projects from

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. What You’ll Be Doing Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP. Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP. Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams. Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning. Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity). Participate in t

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. What You’ll Be Doing Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP. Lead major reliability and modernization initiatives, including container platform migrations (e.g., ECS to EKS/GKE) and microservice enablement across multi-cloud environments. Serve as a technical authority in Kubernetes (EKS and GKE), cloud infrastructure (AWS and GCP), and modern CI/CD practices (GitOps, automation pipelines). Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability. Implement and manage infrastructure as code (Terraform, Ansible) to automate provisioning, scaling, and configuration management across multiple cloud providers. Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems that span AWS and GCP. Champion SRE best practices — defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response. Lead complex technical projects from conception to completion, managing timelines, and technical dependencies across teams. Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning. Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards (e.g., IAM Federation, Workload Identity). Participate in t

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. The Opportunity As an IT Automation and AI Engineer at Okta, you will be a key contributor to the team building the platforms and services that drive our internal AI transformation. We are moving beyond simple automation to build sophisticated, "agentic" workflows—utilizing LangGraph and Gemini Enterprise to create stateful, reasoning-capable systems that support our global workforce. This is a hands-on role for a professional engineer who excels at writing production-grade Python and is eager to bridge the gap between AI research and enterprise-scale applications. You will own the implementation of core features, orchestrating complex LLM interactions while ensuring performance, security, and reliability. What You’ll Be Doing Build Agentic Workflows: Develop and maintain stateful multi-agent systems using LangGraph to solve complex, non-linear business tasks. Gemini Integration: Implement and optimize LLM interactions using Gemini Enterpris

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and