Full-Stack Jobs in Noida.
All active Full-Stack roles based in Noida.
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WHO WE ARE:
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
WHO YOU ARE
You are a passionate Python and AI/ML Engineer minimum 4 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.
WHAT YOU'LL DO
- Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
- Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
- Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
- Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
- Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
- Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.
WHAT YOU'LL NEED
Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN
Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning
NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch
API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger
Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs
GOOD TO HAVE
Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure
TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js
MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD
Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes
Ready to apply?
Apply to Zinnia
Staff Site Reliability Engineer
Title: Staff Site Reliability Engineer, Product Area Focus
Location: Noida/ Bangalore (Hybrid)
Summary of role
Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering team.
Responsibilities
- Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities.
- Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap.
- Participate in defining, evolving, and managing SLOs for several teams within your product area.
- Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components.
- Complete projects to optimize and tune on-call experience for your engineering teams.
- Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement.
- Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly.
- Work closely with the developer infrastructure teams to expedite development infrastructure adoption of tools to advance your reliability roadmap by identifying needs for your supported engineering teams, and contributing back features and bug fixes when needed.
- Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
- Facilitate blame-free root cause analysis meetings for incidents to learn and drive improvement
- Participate in and continually improve our global IRC (incident response coordination) for all products.
- Drive root cause identification and issue resolution with the teams.
- Work inside of a fast-paced iterative environment.
- Hire & Mentor new team members.
Required Qualifications and Skills
- Cloud native application development experience leveraging best practices and design patterns
- Strong debugging and trouble-shooting skills across the entire technology stack
- Deep understanding of AWS Networking, Compute, Storage, and managed services.
- Competency with modern CI/CD tooling like Kubernetes, Terraform, Ansible & Jenkins
- Experience with full life cycle support of services, from creation to production support
- Versed in Infrastructure as Code practices using technologies like Terraform or Cloud Formation
- Ability to author production ready code in at least one the following: Java, Scala or Go.
- Experience with Linux systems and at home on the command line
- Understand and apply modern approaches to cloud-native software security
- Experienced with agile frameworks, such as Scrum and Kanban, and how to operate within these frameworks to continually deliver value.
- Flexible and willing to step into new roles and responsibilities
- Willingness to learn and use Sumo Logic products for solving reliability and security issues
- Bachelor’s or Master's Degree in Computer Science, Electrical Engineering, or another scientific or technical discipline
- 8+ years of professional experience in applied software security role
Desirable Skills
- Experience using Sumo Logic products or other observability products for reliability and security
- Experienced with planet scale product development
- Running and operating SaaS products on AWS Cloud with expert level proficiency
- Experience with streaming technologies like Kafka, Kafka Streams, or KSQL
- Expert level experience in one or more of: Java, Go, Scala, or Python
- Expert level experience in one or more of: Terraform, Jenkins, Kubernetes
- Extensive experience running and tuning JVM workloads at scale
About Us
Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
Ready to apply?
Apply to Sumo Logic
Release Manager
Who We Are
VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave™ Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML’s specialist health network, VML Health, is one of the world’s largest and most awarded health agencies. VML’s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney.
About WPP
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.
We are VML Enterprise Solutions - a group of talented engineers, tech experts, and creators who combine our passions and contribute to the IT world. You may know us better as Wunderman Thompson Technology – in 2024 we changed our name, but at the same time, we remained a great team of people who deliver our best. We design, build, manage and run complex technology platforms and help our clients to benefit from our work and creativity.
The opportunity:
An experienced Release Manager, who leads teams to follow best practices in development standards and coding reviews. You have an enthusiasm for learning new skills and initiative to deliver the best outcomes for our clients.
You will be primarily responsible the management and protection of releases through, where appropriate, Build/Develop, QA, UAT, Pre-Prod and Production environments across multiple technical stacks including front ends, middleware, core commerce platforms and more.
What you’ll get to do:
- Negotiate, plan, and manage all release activities.
- Analyse risks and resolve issues that affect release scope, schedule, and quality.
- Work cohesively with external partners, suppliers, product owners, and system integrators (SI’s)
- Develop common strategies for release governance across multiple systems
- Communicate release details and schedules to the Business as required.
- Act as guardian to uphold the integrity of the branching strategy and ensure processes are optimised to enable frequent and smooth releases
- Know and understand impacts of branches and code merges in the repositories used by the dev teams.
- Work with third party managed-hosting providers to increase automated processes end-to-end
- Work with the development teams.
- Coach and help automate release processes.
- Inform senior management of enterprise-wide exposure to release risk and effectively mitigate it
- Create, track, and maintain a published release and deployment calendar.
- Know the tech stack of the development process so you can participate and discuss with the development teams the challenges of the full delivery workflow.
- Maintain release documentation and manage key information such as build and release procedures, dependencies, and notification lists.
- Work with respective teams for sign off including manual, automation, performance and security testing to name a few
- Work with Infrastructure teams to improve a process, pass awareness of potential problems risks and oversee that the process is fit for the Release process needs.
- Work closely with Project Management to ensure the efficiency of the delivery of Programmes and Projects (Control, Plan, Measure, Predict and React).
- Work with Service Management in the Post-Mortem analysis and improvements identification.
- Understand Infrastructure where applications will be deployed and the different technologies that can be involved in a complex e-commerce environment. This way you should build bridges between the product delivered and Infrastructure that supports it
What you should have:
- Experience in DevOps related release management including implementing and managing the release management lifecycle
- Knowledge of software development, preferably on web (e-commerce) sites.
- Knowledge in software build, repository, and maintenance tools like GitHub, Gitlab, Jenkins, Bitbucket or any other automation build and deployment tools.
- Experience working in agile environments with SCRUM methodologies.
- Passionate about delivering quality software and defending the customer/end-user perspective.
- Good communication skills and teamwork believer.
- Strong time management & organisational skills.
- Interested in automating things.
- You like to learn and investigate new technologies that the company is working with or will work in the future.
- Experience in Continuous Integration, Delivery, Deploy methodologies.
- Excellent negotiation skills and an ability to handle sensitive issues with tact and diplomacy.
You will collaborate with our UK project team, so we’ll need you to be available until 18:00 PL
What we can offer you:
Alongside the opportunity to work with some of the most exciting brands around the world, we’ll also prioritise your career development and help you grow your skills. We’ll empower you to make a difference, allow you to be yourself, and respect who you are.
Our culture thrives on our core values, designed for impact-driven individuals: Heart, Brains and Courage.
We lead with Heart, fostering empathy and trust where genuine connections and human-centric work flourish.
We empower your Brains for innovation, valuing relentless curiosity and collaborative intelligence to solve complex challenges.
And we champion Courage, inspiring you to speak up, embrace experimentation, and advocate for bold solutions that push our thinking to be better than yesterday.
At VML Enterprise Solutions
Our Enterprise Solutions division houses strategic consultants, creative and technical architects and skilled developers and operators that together help some of the world’s leading organisations to deliver outstanding digital experiences across all major routes to market worldwide: marketplaces, online retailers, D2C, B2B and social platforms. With over 4,200 experts in 55 operational centres across 34 countries, our capabilities span the entire buying journey from customer acquisition, through engagement, to conversion and loyalty, driving multi-channel growth for world-leading brands.
We work with some of the most exciting brands such as The Coca-Cola Company, EY, Bosch, Unilever, Ford, DFS, Mercedes-Benz, Johnson & Johnson, Nestlé, Sainsbury’s, Selfridges, Shell and Tiffany & Co. We’ve built over 500 platforms for brands and retailers and generate in excess of $29bn annually for our clients and work with over 50 strategic partners including Adobe, SAP, Salesforce, HCL, Shopify, Sitecore, BigCommerce, commerce tools and Acquia. Our reputation is based on our people, and we believe we have some of the best in the business.
As our business grows internationally, we’re looking for new people to join us on our journey to inspire and take a key role in shaping some of the best commerce solutions, services, and websites in the world. Working as a team, no problem is insurmountable; we share in our client’s successes and believe that anyone can show creative bravery no matter what their role is in the team.
#LI-HYBRID #LI-APAC
WPP (VML Enterprise Solutions) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
VML is a WPP Agency. For more information, please visit our website, and follow VML on our social channels via Instagram, LinkedIn, and X.
When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.
Ready to apply?
Apply to VML Enterprise Solutions
Software Engineer I - AI and ML
WHO WE ARE:
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
WHO YOU ARE
You are a passionate Python and AI/ML Engineer minimum 4 years of hands-on experience building intelligent systems. You thrive in fast-paced environments, love solving complex problems with data and algorithms, and take pride in delivering AI solutions that create real business impact. You have experience with cutting-edge Generative AI, scalable ML pipelines, and production-grade systems and you're energized by working at the frontier of what AI can do.
WHAT YOU'LL DO
- Design, develop, and deploy machine learning models and Generative AI solutions — including classification, clustering, summarization, search & ranking, and information extraction.
- Own end-to-end ML pipelines — from data ingestion and preprocessing through model training, deployment, and production monitoring.
- Collaborate with cross-functional teams to translate business requirements into AI-driven features — applying NLP, outlier detection, and deep learning techniques where applicable.
- Build robust, scalable, and well-documented Python-based RESTful APIs to expose ML models and AI services in production environments.
- Optimize database interactions and ensure efficient data storage and retrieval for AI applications across SQL and NoSQL systems.
- Stay current with the latest advances in AI/ML — integrating emerging approaches such as RAG pipelines, LLM fine-tuning, and vector search into live products.
WHAT YOU'LL NEED
Python
Strong hands-on proficiency for building, scripting, and deploying AI/ML systems.
NumPy · Pandas · FastAPI · Scikit-learn
Machine Learning
Applied expertise across supervised, unsupervised, and deep learning — classification, clustering, outlier detection.
PyTorch · TensorFlow · XGBoost · DBSCAN
Generative AI (2+ yrs)
Hands-on experience building with LLMs — prompt engineering, RAG pipelines, summarization, and AI-powered features.
LLMs · RAG · Prompt Eng. · Fine-tuning
NLP & Search / Ranking
Processes language and builds relevance engines — NER, embeddings, semantic search, and ranking models.
spaCy · BERT · FAISS · Elasticsearch
API Development
Designs and ships secure, well-documented RESTful APIs exposing ML models as production-ready services.
REST · FastAPI · OAuth2 · Swagger
Databases
Proficient in SQL and NoSQL stores for structured and unstructured data pipelines supporting AI workloads.
PostgreSQL · MongoDB · Vector DBs
GOOD TO HAVE
Cloud Platforms
Deploys and scales AI workloads on AWS, Azure, or GCP.
AWS · Azure
TypeScript / JavaScript
Frontend or full-stack exposure for building ML-powered product interfaces.
TypeScript · React · Node.js
MLOps
Manages the ML lifecycle — tracking, versioning, and pipeline automation.
MLflow · Kubeflow · CI/CD
Containerization & Orchestration
Packages and scales AI services using containers and cluster management.
Docker · Kubernetes
Ready to apply?
Apply to Zinnia - Employee Referral
Senior Site Reliability Engineer I
Title: Senior Site Reliability Engineer - I, Product Area Focus
Location: Noida (Hybrid)
Summary of role
Own availability, the most important product feature, by continually striving for sustained operational excellence of Sumo’s planet-scale observability and security products. Work alongside your global SRE team, executing on projects in your product-area specific reliability roadmap, to optimize operations, increase efficiency in our use of cloud resources and our developer’s time, harden security posture, and increase feature velocity of our developers Work closely with multiple teams to optimize the operations of their microservices - and improve the lives of the engineers within your product area engineering teams.
Responsibilities
- Support the engineering teams within your product area by maintaining and executing a reliability roadmap of opportunities for improvement for reliability, maintainability, security, efficiency, and velocity - and help for realizing those opportunities.
- Collaborate with development infrastructure, Global SRE, and your product area engineering teams to establish and continually refine your reliability roadmap.
- Participate in defining, evolving, and managing SLOs for several teams within your product area.
- Participate in on-call rotations within your product area to understand operations workload so you can continually work to improve the on-call experience and reduce operational workload for running microservices and related components.
- Complete projects to optimize and tune on-call experience for your engineering teams.
- Continually improve the lifecycle of microservices and architectural components from inception and design, through deployment, operation, and refinement.
- Write code and automation to reduce operational workload, increase efficiency, improve security posture, eliminate toil, and enable Sumo’s developers to deliver features more rapidly.
- Work closely with the developer infrastructure teams to expedite development infrastructure adoption of tools to advance your reliability roadmap by identifying needs for your supported engineering teams, and contributing back features and bug fixes when needed.
- Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
- Facilitate blame-free root cause analysis meetings for incidents to learn and drive improvement
- Drive root cause identification and issue resolution with the teams.
- Work inside of a fast-paced iterative environment.
Required Qualifications and Skills
- Cloud native application development experience leveraging best practices and design patterns
- Strong debugging and trouble-shooting skills across the entire technology stack
- Deep understanding of AWS Networking, Compute, Storage, and managed services.
- Competency with modern CI/CD tooling like Kubernetes, Terraform, Ansible & Jenkins
- Experience with full life cycle support of services, from creation to production support
- Versed in Infrastructure as Code practices using technologies like Terraform or Cloud Formation
- Ability to author production ready code in at least one the following: Java, Scala or Go.
- Experience with Linux systems and at home on the command line
- Understand and apply modern approaches to cloud-native software security
- Experienced with agile frameworks, such as Scrum and Kanban, and how to operate within these frameworks to continually deliver value.
- Flexible and willing to step into new roles and responsibilities
- Willingness to learn and use Sumo Logic products for solving reliability and security issues
- Bachelor’s or Master's Degree in Computer Science, Electrical Engineering, or another scientific or technical discipline
- 4-6 years of industry experience.
Desirable Skills
- Experience using Sumo Logic products or other observability products for reliability and security
- Experienced with planet scale product development
- Running and operating SaaS products on AWS Cloud with expert level proficiency
- Experience with streaming technologies like Kafka, Kafka Streams, or KSQL
- Expert level experience in one or more of: Java, Go, Scala, or Python
- Expert level experience in one or more of: Terraform, Jenkins, Kubernetes
- Extensive experience running and tuning JVM workloads at scale
About Us
Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform. Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness—combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges. Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments. For more information, visit www.sumologic.com.
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
Ready to apply?
Apply to Sumo Logic