Jobs in India

Codex Deployment Engineer in India

5,212 active opportunities · Updated October 2026

Explore current codex deployment engineer jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.

O
📍 India· Full-time
✓ Quality checkedCompany trend -68.5%

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. Staff Product Designer — AX & Growth (DLG) About the Role Auth0, part of Okta, is redefining identity for a world where users aren't only human. AI agents are beginning to sign up, authenticate, and act autonomously — and Auth0 is building the infrastructure and experience layer for that shift. This role is a foundational design hire on Auth0's India Design Team, part of the global design team. Working at the frontier of Agent Experience (AX) : designing for a largely headless, invisible-UI world where the "user" is often code acting with intent, not a person. You'll join a small pod of PMs and engineers actively defining Auth0's agentic vision from scratch — there's no existing pattern library, so you'll help create it: how agents sign up, authenticate, execute tasks, and how humans stay in control without micromanaging them. Alongside this, you'll own signup and onboarding design for a new customer: the AI-powered developer, whose workflows involve agents and automated tooling from day one. The same instincts that build trust for a human overseeing an agent also build trust for a developer signing up for a self-serve product. We're looking for a self-starter who generates their own hypotheses and builds the roadmap as they go. What You'll Do Agent Experience (AX) - Shape Auth0's agentic vision alongside a small, fast-moving team of PMs and engineers. - Define the "what" for agents — interaction models for sig

AWSRestMachine LearningAI
O
📍 India· Full-time
✓ Quality checkedCompany trend -68.5%

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. Design the experiences that secure the internet Auth0 protects over 5 billion login transactions monthly. Every pixel, interaction, and moment of friction shapes how millions experience digital identity. We're looking for a product designer with deep craft, strategic thinking, and the ability to lead through complexity. You'll design experiences that developers and enterprise admins use daily—balancing simplicity with the sophistication that security demands. What you'll do Own end-to-end design for Auth0's Dashboard, Universal Login, and developer experiences. From discovery research through polished UI. Lead strategic initiatives with product managers and engineering leads to define roadmaps and shape product direction Create pixel-perfect interfaces with attention to visual design, interaction patterns, and accessibility Prototype and validate ideas through iteration, user research, and data Evolve our design system, establishing patterns that scale across Auth0 and Okta Mentor designers and raise the bar for craft and process across the team Represent user needs in a security-focused domain where clarity builds trust What we're looking for 7+ years designing digital products, with a portfolio showing strong visual design and systems thinking Experience simplifying complex, multi-step workflows without losing power or flexibility Strong prototyping skills in Figma or similar tools; comfort with code-based prototypes Research fluency and knowing when to r

AWSGitRestMachine Learning
O
📍 India· Full-time
✓ Quality checkedCompany trend -68.5%

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 Staff SET Opportunity We are looking for an experienced Staff Software Engineer in Test to join our Identity Management Engineering (IDM) team serving the Privileged Access Team (PAM). This team is passionate about delivering large-scale, mission-critical software in a fast-paced Agile environment. In this role you'll be working with a team of highly-skilled and talented engineers, responsible for delivering sophisticated backend solutions that help Okta reliably operate at large scale and be highly available. As part of the team, you’ll be ensuring projects are completed with the highest quality and reliability using automation at every level for fast, robust and secure releases. What you’ll be doing Review requirements and design specs to develop relative test plans and test cases Automate API tests, end-to-end tests, reliability/scale tests Work with engineering management to scope and plan engineering efforts Communicate and document QE plans for scrum teams to review Review application code, identify bug and other areas of weakness, architect tools for future coverage Automate all critical features to maintain zero-debt cadence Release features with solid quality Respond to production issues/alerts and customer issues during on-call rotation Be a strong customer advocate with a strong quality DNA What you’ll bring to the role 5+ years of QE experience preferably in an enterprise SaaS company 3+ years experience in quality engineering for ente

PythonJavaAWSKubernetes
E(
📍 India· Full-time
✓ Quality checkedCompany trend -93.7%

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

PythonSQLAzureGCP
E(
📍 India· Full-time
✓ Quality checkedCompany trend -93.7%

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 are you? We are seeking an experienced Enterprise Software Engineer to join the Ema team in India. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact. You will: Develop and maintain enterprise software applications, including API, data, application, and service development Write clean, efficient, and maintainable code by employing test-driven development process. Build scalable and reliable back-end systems using languages like Go and Python. Develop and maintain APIs using REST, gRPC or GraphQL Integrate multiple enterprise applications and services using a scalable framework like FastAPI Build and maintain data schema u

JavaScriptPythonJavaReact
PE

Role : Program Manager Function: Personal Loans, Lending Location: [Noida / Mumbai] Experience: 3–6 years About the Role: We are hiring a Program / Category Manager to help drive Paytm's Personal Loans business. You will own a set of lending partners end-to-end; their volumes, their economics and their journey and be the connective tissue between Business, Product, Technology, Operations, Risk, Compliance, Finance and Marketing. This is a builder's role, not a coordinator's. You will be expected to find growth yourself: dig into the funnel, form a view on what is broken or under-exploited, build the business case, and then drive it to launch with the teams that can make it happen. The partners in this portfolio contribute a meaningful share of Paytm's monthly disbursals, so the decisions you make show up directly in the P&L. Key Responsibilities: - Own the AOP for your lending partners and drive the initiatives needed to deliver it month on month, not just at quarter end. - Build the forward view forecasts, scenario plans and the levers available if the base case slips. - Own the funnel end to end: stage-wise conversion, drop-offs, TATs and the specific reason codes behind each leak, from offer display through KYC, e-mandate, e-sign and disbursal. - Run cohort and vintage analysis to understand how different user segments, sources and offer constructs behave over time, and use it to shape targeting and offer strategy. - Design and run experiments: A/B tests on journeys, messaging, offers and routing and read the results honestly, including the ones that fail. - Build and maintain the dashboards and MIS that the business runs on, so that you and your stakeholders are always looking at the same, current, correct numbers. - Turn analysis into a recommendation. The deliverable is a decision with a number attached to it, not a deck of charts. - Drive end-to-end execution of strategic lending programs, delivered on time and against clearly defined business outcomes. -

PythonGitAIGo
PE
📍 India· Full-time
✓ Quality checked

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role *We are looking for a detail-oriented and proactive CLM Operations Executive to join the Paytm. *Campaign Lifecycle Management (CLM) team. In this role, you will be responsible for the end-to-end execution of off-deck and on-deck campaigns across multiple channels using CleverTap. *You will collaborate closely with Category, Growth, and Traffic teams to ensure campaigns are set up accurately, approved on time, and monitored for performance. Key Responsibilities Campaign Execution & Management • Create, configure, and publish campaigns on CleverTap across Push (Override, Lifecycle, Nodedupe, Event-based), Email, SMS, Chat, and WhatsApp channels. • Set up and manage CleverTap Journeys, including event-based triggers, audience segmentation, and multi-step flows. • Set up and validate context strings for both Override and Lifecycle on-deck campaigns (Native Display). Data Fetching & Validation • Fetch and validate campaign base sizes using CleverTap's segment builder and cross- reference against push campaign base size checks. • Validate Banner IDs, deeplinks (via QR code generation), widget types, slot IDs, and image specs before campaign scheduling. • Monitor campaign delivery metrics post-launch; flag anomalies such as unusual drop in reach or delivery rates (expected benchmark: 50–60% delivery/acquiry). • Pull and verify data from the Campaign Tracker, Traffic Approval Sheet, and Allocation Team Sheet to ensure alignment. • Ensure all campaigns have a valid Label ID from the CLM Category List, and that CategoryId and CategoryName key-value pairs are correctly mapped (case-sensit

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