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Summary of the role:
As an Analytics Engineer, you will work closely with internal team members to implement Adobe Analytics/Google Analytics on clients’ websites. In this role, you will use front-end technologies such as HTML, CSS, JavaScript, jQuery to support the development and implementation of web analytics tracking. You will also set up and maintain successful Adobe Analytics/Google Analytics deployments and identify and solve complex and interesting tracking problems. Using JavaScript/jQuery, you will design analytics solutions by understanding the client’s business and online marketing goals, gathering requirements, defining project scope, and providing technical guidance.
Qualification:
- Bachelor’s degree from an accredited university
- Strong technical aptitude and expertise with JavaScript, HTML,CSS
- Expertise in Adobe DTM/Adobe Launch and Adobe Analytics implementation through other tag management solutions
Experience:
- 3+ years of relevant experience in Adobe Analytics implementation using DTM/Adobe Launch
- Web Development experience is a plus as it relates to the development, configuration and implementation of Web Analytics solutions
- Experience with other web platforms like Google Analytics, Tealium, Tealeaf, etc. is a plus
Responsibilities:
- Understand client business requirements and how to map those requirements to specific digital measurement tactics
- Development of documentation, deliverables and solutions requirements for web analytics tracking
- Work closely with account management and development teams to oversee the implementation, configuration and debugging of web analytics code, both on-site and through tag management systems
- Support digital marketing teams (paid search, SEO, conversion rate optimization, digital media, etc.) to implement customized tracking for campaign initiatives
Key Skills:
- Strong understanding of web analytics implementation tools - Adobe Analytics Implementation Experience
- Ability to use Adobe DTM/Adobe Launch to implement changes suggested by web analytics team
- Hands on experience in writing DTM rules and troubleshooting the existing implementations
- Expert-level knowledge in Adobe DTM/ Adobe Launch and Adobe Analytics is a must
- Knowledge and experience in Google Analytics/Google Tag Manager or other web analytics platforms is a plus
- Knowledge of web development technologies - JavaScript, HTML, CSS etc.
- Experience in producing technical specifications, solution design reference documents, reference manuals, developer guides, and/or code requirements
- Excellent ability to read and debug HTML, JavaScript to successfully test tags
- Presents results in a manner that the business partners can understand, ensuring interpretation, appropriate detail and usability
- Excellent written skills and the ability to write for both technical and non-technical users
- Willingness to travel for client discoveries and other off-site meetings
- Experience with developing analytics testing processes
- Ability to effectively communicate with clients and colleagues at all levels
PythonAbout the Role
Viamagus is a fully AI-driven engineering organization.
We're hiring a Technical Architect who has built real systems, deployed them to production, and meaningfully integrated AI into their engineering practice. You'll lead architecture across all client engagements.
Must-Have: Engineering Foundation
- Bachelor's in CS/Engineering or related field (Master's preferred)
- 8+ years of software development, 3+ years in an architect/lead role
- Built systems from scratch and taken them to production - owned the full lifecycle, not just slices
- Multiple integration experiences - third-party APIs, enterprise systems (SAP, Salesforce, ERP), messaging/event buses, legacy modernization
- Built frameworks for scalability - reusable platforms, SDKs, shared libraries, and internal developer tooling adopted across teams
- Technology-agnostic strength - strong across at least one modern backend stack, one frontend framework, and one cloud platform; able to pick the right tool for the job rather than defaulting to favourite
- AWS or Azure cloud architecture - VPC design, IAM, container orchestration, cost optimization
- DevOps fluency: Docker, Jenkins/GitHub Actions, IaC (Terraform/CDK)
- Performance tuning, distributed tracing, structured logging, APM tools (Datadog, New Relic, or equivalent)
- AppSec collaboration - OWASP Top 10, VAPT remediation, secrets management, compliance (ISO/SOC 2/HIPAA exposure a plus)
Must-Have: AI-Era Awareness
You will be expected to architect systems that use AI effectively and lead engineers who do the same. Working knowledge of several of these is required:
- AI-assisted development - daily driver of Claude Code, Cursor, Copilot, or equivalent; can articulate where they help, where they fail, and how to get better outcomes from them
- LLM integration patterns - understanding of when to use OpenAI, Anthropic, Gemini, or open-source models; familiarity with API usage, streaming, function calling, structured outputs
- RAG basics — vector DBs (pgvector, Pinecone, Qdrant), embeddings, chunking, retrieval tradeoffs — enough to review and guide RAG implementations
- Agentic systems awareness — conceptual understanding of tool use, multi-step agents, and frameworks like LangGraph or CrewAI
- MCP (Model Context Protocol) — awareness of what it is and where it fits
- Prompt engineering fundamentals — versioning prompts, structured outputs, guardrails, handling hallucinations
- AI evaluation and cost awareness — how to measure quality, latency, and cost of LLM-powered features
- Curiosity and experimentation mindset — has tried things beyond ChatGPT in a browser tab
Responsibilities
Architecture & Delivery
- Design scalable, secure architectures for client engagements
- Lead technical due diligence on proposals - feasibility, effort estimation, risk flagging
- Drive production readiness: incident management, observability, release processes
- Review and approve high-impact design decisions across projects
Team & Stakeholders
- Mentor 15–20 engineers across backend, mobile, and cloud teams
- Conduct architecture reviews, code reviews, and technical retrospectives
- Engage directly with client CTOs/architects on solution design and technical escalations
- Translate business objectives into architectural decisions and vice versa
Quality, Risk, Compliance
- Enforce security-first design - threat modelling, data classification, AI-specific risks (prompt injection, PII leakage, model supply chain)
- Ensure compliance readiness for ISO 27001, SOC 2, HIPAA, where applicable
- Identify and mitigate delivery risks early; escalate with proposed mitigations
Nice to Have
- Contributions to open-source projects or AI tooling
- Experience with real-time sync (CRDTs, Realm, Ditto) or offline-first architectures
- Published technical content - blogs, talks, GitHub
- Google/AWS/Azure certifications (bonus, not substitute)
Java
Spring Boot|
Requirements: Job Description |
|
Position- Automation Lead
Location Bangalore (Wfo/Hybrid)
Experience :5+ years
Qualifications Bachelor of Engineering/ Masters in Computer Science (OR) any equivalent
Job Overview
- Good experience & strong knowledge in Java programming with Object Oriented Programming methodologies
- Good experience in web/mobile application UI automation & related tools/packages (like selenium/appium)
- Good exposure to functional testing, regression testing, api testing
- Very good in analytical & logical thinking on different perspectives. Ability to handle challenges & resolve blockers independently
- Self-driven, Accountability and ownership of problems to achieve team goals & ability to contribute independently
- Good team player & proactive in giving new ideas/suggestions/solutions & constructive analysis of team member’s ideas
- Hands on experience with different tools - Testing tool, Version Control systems (Git), Test Management Software, Bug Tracking software and CI tools (Jenkins etc.)
React.js
MongoDB
AngularJS (1.x)
NodeJS (Node.js)
Data Science
Machine Learning (ML)PythonWe are looking for a Machine Learning engineer for on of our premium client.
Experience: 2-9 years
Location: Gurgaon/Bangalore
Tech Stack:
Python, PySpark, the Python Scientific Stack; MLFlow, Grafana, Prometheus for machine learning pipeline management and monitoring; SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS; Django, GraphQL and ReactJS for horizontal product development; container technologies such as Docker and Kubernetes, CircleCI/Jenkins for CI/CD, cloud solutions such as AWS, GCP, and Azure as well as Terraform and Cloudformation for deployment
We CondéNast are looking for a Support engineer Level 2 who would be responsible for
monitoring and maintaining the production systems to ensure the business continuity is
maintained. Your Responsibilities would also include prompt communication to business
and internal teams about process delays, stability, issue, resolutions.
Primary Responsibilities
● 5+ years experience in Production support
● The Support Data Engineer is responsible for monitoring of the data pipelines
that are in production.
● Level 3 support activities - Analysing issue, debug programs & Jobs, bug fix
● The position will contribute to the monitoring, rerun or reschedule, code fix
of pipelines for a variety of projects on a daily basis.
● Escalate failures to Data-Team/DevOps incase of Infrastructure Failures or unable
to revive the data-pipelines.
● Ensure accurate alerts are raised incase of pipeline failures and corresponding
stakeholders (Business/Data Teams) are notified about the same within the
agreed upon SLAs.
● Prepare and present success/failure metrics by accurately logging the
monitoring stats.
● Able to work in shifts to provide overlap with US Business teams
● Other duties as requested or assigned.
Desired Skills & Qualification
● Have Strong working knowledge of Pyspark, Informatica, SQL(PRESTO), Batch
Handling through schedulers(databricks, Astronomer will be an
advantage),AWS-S3, SQL, Airflow and Hive/Presto
● Have basic knowledge on Shell scripts and/or Bash commands.
● Able to execute queries in Databases and produce outputs.
● Able to understand and execute the steps provided by Data-Team to
revive data-pipelines.
● Strong verbal, written communication skills and strong interpersonal
skills.
● Graduate/Diploma in computer science or information technology.
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing
history. With a portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and
Bon Appétit, we at Condé Nast aim to tell powerful, compelling stories of communities,
culture and the contemporary world. Our operations are headquartered in New York and
London, with colleagues and collaborators in 32 markets across the world, including
France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin America.
Condé Nast has been raising the industry standards and setting records for excellence in
the publishing space. Today, our brands reach over 1 billion people in print, online, video,
and social media.
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and
social platforms - in other words, a staggering amount of user data. Condé Nast made the
right move to invest heavily in understanding this data and formed a whole new Data
team entirely dedicated to data processing, engineering, analytics, and visualization. This
team helps drive engagement, fuel process innovation, further content enrichment, and
increase market revenue. The Data team aimed to create a company culture where data
was the common language and facilitate an environment where insights shared in
real-time could improve performance. The Global Data team operates out of Los Angeles,
New York, Chennai, and London. The team at Condé Nast Chennai works extensively with
data to amplify its brands' digital capabilities and boost online revenue. We are broadly
divided into four groups, Data Intelligence, Data Engineering, Data Science, and
Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create
data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create
diverse forms of self-expression. At Condé Nast, we encourage the imaginative and
celebrate the extraordinary. We are a media company for the future, with a remarkable
past. We are Condé Nast, and It Starts Here.
Data AnalyticsWe have a urgent requirement for the post of IBM MDM (AE) profile
Notice period - should b e 15-30 days
- Develop and execute influencer marketing strategies and creative
campaigns
- Identify and build relationships with prominent influencers
- Building an influencer ecosystem for e-commerce/start-ups.
- Research relevant influencers and contact them.
- Build good relationships with influencers.
- Negotiating with influencers
- Monitor influencer activity, analyse their performance, identify areas
of improvement, and recommend
- Research relevant industry experts, competitors.
- Brainstorm new, creative approaches to influencer/ affiliate/
collaboration campaigns.
- Liaising with the marketing team to create and coordinate
marketing strateg
Machine Learning (ML)
Deep LearningThe Role
We are looking for a tech enthusiast who can work with us to help further our product development with Augmented Reality to keep us ahead of the technology curve. We have a tight product roadmap that needs enthusiastic people to solve problems in the realm of computer vision systems building towards a high accuracy SLAM solution.
Qualified candidates will be driven self-starters, robust thinkers, strong collaborators, and adept at operating in a highly dynamic environment. We look for colleagues that are passionate about our product and embody our values.
Some of the main responsibilities include:
-
Develop objectives and design research projects
- Design, build and maintain high performance, reusable and reliable code
- Work with the core team to bring ideas to life and keep pace with the latest research in Computer Vision, Deep Learning.
Qualifications, Skills & Competencies
-
Masters / Phd in Computer Science, Mathematics or relevant experience
-
3+ years of experience in geometric computer vision, algorithms, SfM / SLAM, visual inertial odometry / 3D reconstruction / sensor fusion.
-
Experience in Deep Learning for SLAM and related frameworks
-
Experience in sensor fusion (IMU, camera) and in probabilistic filters- EKF, UKF
-
Strong mathematical understanding - linear algebra, 3d-geometry, probability.
-
Proficiency in programming - C++, python and knowledge of algorithms
-
Proficiency in programming - C++, python and knowledge of algorithms
-
Proven experience in product development (monocular SLAM, multi-view camera
calibration)
-
Strong background in computer vision and ML/DL
-
Experience in optimization of SLAM algorithms
-
Comfort with communication and collaboration across teams. The ability to multitask, manage tasks with varying priorities and align with stakeholders.
• You will explain the benefits of PagarBook desktop solution to customers
• Better and Easier accessibility, also available on mobile web
• Access to rich reports which gives you business knowledge, spend
• Unlimited free upgrades for a year
• Bulk update features
• Expense management
• The users can register on the desktop for a free trial for 7 days first
• Sales associate would convert the customer into a paid customer
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