Mandatory Skills:
- AZ-104 (Azure Administrator) experience
- CI/CD migration expertise
- Proficiency in Windows deployment and support
- Infrastructure as Code (IaC) in Terraform
- Automation using PowerShell
- Understanding of SDLC for C# applications (build/ship/run strategy)
- Apache Kafka experience
- Azure web app
Good to Have Skills:
- AZ-400 (Azure DevOps Engineer Expert)
- AZ-700 Designing and Implementing Microsoft Azure Networking Solutions
- Apache Pulsar
- Windows containers
- Active Directory and DNS
- SAST and DAST tool understanding
- MSSQL database
- Postgres database
- Azure security
Shubham Vishwakarma
Full Stack Developer - Averlon
About Gipfel & Schnell Consultings Pvt Ltd
About
Gipfel & Schnell was born from a seed of thought, to provide exceptional service(s) to the ever-expanding conglomerate of businesses across the Knowledge Space. We have over time, amassed a wide array of success stories based on our ability to function as a Value driven extension with all of our Partners. This has been forged in the areas of Talent Acquisition, HR Practice, BPR and IT Consulting.
G&S with its rich and diverse team boasting of extensive experience across Industries, Functions and Geographic Locations strongly believe in All-Round Solutions to give its Partners a competitive edge in the respective areas.
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NodeJS (Node.js)
Amazon Web Services (AWS)We're hiring a Tech Lead to own the backend architecture and engineering culture of a fast-growing HR-Tech platform used by 100+ enterprise clients across India.
This isn't a "manage the team and attend standups" role. You'll be hands-on with architecture decisions, own the deployment environment, and work directly with founders who came from Gallup and IIM Ahmedabad.
The stack is Node.js, Docker, Kafka, and cloud (AWS / Azure / GCP).
The role is right for you if:
- You've led backend teams and still enjoy being close to the code
- You've built or significantly improved a CI/CD pipeline in production
- You can explain a technical trade-off to a business stakeholder without making them feel talked down to
- You want ownership, not just a title.
What you'll be doing:
- Designing and maintaining backend systems built for scale, security, and reliability
- Leading and mentoring a team of backend engineers through sprint cycles and beyond
- Owning cloud infrastructure (AWS / Azure / GCP) and keeping deployments stable and fast
- Improving CI/CD practices and automating what shouldn't require human intervention
- Translating product requirements into technical specs the team can actually execute
- Conducting code reviews that raise quality without slowing people down
- Working directly with founders and business stakeholders — not through layers of management
What we're looking for:
- 5–8 years of software engineering experience, with at least 2 years in a lead or senior role
- Strong backend development skills in Node.js (Python or Java is a bonus)
- Hands-on cloud experience — building and managing infrastructure, not just deploying to it
- Comfort with Docker, Kafka, and Linux environments
- Experience running Agile teams — sprint planning, retrospectives, the works
- Clear communication and the ability to make decisions under ambiguity
- B.Tech / B.E. in Computer Science or Information Technology
Location: Mumbai (on-site) Experience: 5–8 years Start: Immediate
If this sounds like the role you've been looking for, apply below or send a message directly. The process is fast and so is the decision.
- Research and identify potential clients, markets, and growth opportunities
- Assist in reaching out to leads via email, calls, or LinkedIn
- Support the sales team in creating proposals and pitch decks
- Help manage CRM tools, databases, and sales reports
- Work on partnerships, collaborations, and onboarding processes
- Participate in strategy discussions and brainstorming sessions
Amazon Web Services (AWS)
PythonKey Responsibilities
- Design and implement ETL/ELT pipelines using Databricks, PySpark, and AWS Glue
- Develop and maintain scalable data architectures on AWS (S3, EMR, Lambda, Redshift, RDS)
- Perform data wrangling, cleansing, and transformation using Python and SQL
- Collaborate with data scientists to integrate Generative AI models into analytics workflows
- Build dashboards and reports to visualize insights using tools like Power BI or Tableau
- Ensure data quality, governance, and security across all data assets
- Optimize performance of data pipelines and troubleshoot bottlenecks
- Work closely with stakeholders to understand data requirements and deliver actionable insights
🧪 Required Skills
Skill AreaTools & TechnologiesCloud PlatformsAWS (S3, Lambda, Glue, EMR, Redshift)Big DataDatabricks, Apache Spark, PySparkProgrammingPython, SQLData EngineeringETL/ELT, Data Lakes, Data WarehousingAnalyticsData Modeling, Visualization, BI ReportingGen AI IntegrationOpenAI, Hugging Face, LangChain (preferred)DevOps (Bonus)Git, Jenkins, Terraform, Docker
📚 Qualifications
- Bachelor's or Master’s degree in Computer Science, Data Science, or related field
- 3+ years of experience in data engineering or data analytics
- Hands-on experience with Databricks, PySpark, and AWS
- Familiarity with Generative AI tools and frameworks is a strong plus
- Strong problem-solving and communication skills
🌟 Preferred Traits
- Analytical mindset with attention to detail
- Passion for data and emerging technologies
- Ability to work independently and in cross-functional teams
- Eagerness to learn and adapt in a fast-paced environment
Java
React.js
Jenkins
Docker
KubernetesJob Title: Java Full Stack Developer
Experience: 6+ Years
Locations: Bangalore, Mumbai, Pune, Gurgaon
Work Mode: Hybrid
Notice Period: Immediate Joiners Preferred / Candidates Who Have Completed Their Notice Period
About the Role
We are looking for a highly skilled and experienced Java Full Stack Developer with a strong command over backend technologies and modern frontend frameworks. The ideal candidate will have deep experience with Java, ReactJS, and DevOps tools like Jenkins, Docker, and basic Kubernetes knowledge. You’ll be contributing to complex software solutions across industries, collaborating with cross-functional teams, and deploying production-grade systems in a cloud-native, CI/CD-driven environment.
Key Responsibilities
- Design and develop scalable web applications using Java (Spring Boot) and ReactJS
- Collaborate with UX/UI designers and backend developers to implement robust, efficient front-end interfaces
- Develop and maintain CI/CD pipelines using Jenkins, ensuring high-quality software delivery
- Containerize applications using Docker and ensure smooth deployment and orchestration using Kubernetes (basic level)
- Write clean, modular, and testable code and participate in code reviews
- Troubleshoot and resolve performance, reliability, and functional issues in production
- Work in Agile teams and participate in daily stand-ups, sprint planning, and retrospective meetings
- Ensure all security, compliance, and performance standards are met in the development lifecycle
Mandatory Skills
- Backend: Java, Spring Boot
- Frontend: ReactJS
- DevOps Tools: Jenkins, Docker
- Containers & Orchestration: Basic knowledge of Kubernetes
- Strong understanding of RESTful services and APIs
- Familiarity with Git and version control workflows
- Good understanding of SDLC, Agile/Scrum methodologies
Job Resonsibilities:
-Performance Marketer
-As an initial member of the Marketing and Growth team, you'll be expected to setup repeatable processes and helping us scale the function as we grow
-Drive paid marketing efforts across a variety of channels and monitor their performance
-Identify key audience segments and growth opportunities and transform these through effective campaigns
-Use customer research, hard data and metrics to assess efficacy of marketing campaigns
-Partner with product & growth team to enable ground level learnings and contribute to product-led growth
What are we looking for?
-5+ years working in the marketing or growth function, preferably in a startup.
-Hands on experience in Google Adwords and Facebook/Instagram ads is a must. Expertise in both is a requisite.
-You are a self-starter and can make decisions on your feet with minimal supervision, end-to-end ownership to drive outcomes.
-You possess deep customer empathy and love getting your hands dirty with data
Location: Bangalore/ open to remote working as well in other cities.
PythonRole: Data Engineer
Company: PayU
Location: Bangalore/ Mumbai
Experience : 2-5 yrs
About Company:
PayU is the payments and fintech business of Prosus, a global consumer internet group and one of the largest technology investors in the world. Operating and investing globally in markets with long-term growth potential, Prosus builds leading consumer internet companies that empower people and enrich communities.
The leading online payment service provider in 36 countries, PayU is dedicated to creating a fast, simple and efficient payment process for merchants and buyers. Focused on empowering people through financial services and creating a world without financial borders where everyone can prosper, PayU is one of the biggest investors in the fintech space globally, with investments totalling $700 million- to date. PayU also specializes in credit products and services for emerging markets across the globe. We are dedicated to removing risks to merchants, allowing consumers to use credit in ways that suit them and enabling a greater number of global citizens to access credit services.
Our local operations in Asia, Central and Eastern Europe, Latin America, the Middle East, Africa and South East Asia enable us to combine the expertise of high growth companies with our own unique local knowledge and technology to ensure that our customers have access to the best financial services.
India is the biggest market for PayU globally and the company has already invested $400 million in this region in last 4 years. PayU in its next phase of growth is developing a full regional fintech ecosystem providing multiple digital financial services in one integrated experience. We are going to do this through 3 mechanisms: build, co-build/partner; select strategic investments.
PayU supports over 350,000+ merchants and millions of consumers making payments online with over 250 payment methods and 1,800+ payment specialists. The markets in which PayU operates represent a potential consumer base of nearly 2.3 billion people and a huge growth potential for merchants.
Job responsibilities:
- Design infrastructure for data, especially for but not limited to consumption in machine learning applications
- Define database architecture needed to combine and link data, and ensure integrity across different sources
- Ensure performance of data systems for machine learning to customer-facing web and mobile applications using cutting-edge open source frameworks, to highly available RESTful services, to back-end Java based systems
- Work with large, fast, complex data sets to solve difficult, non-routine analysis problems, applying advanced data handling techniques if needed
- Build data pipelines, includes implementing, testing, and maintaining infrastructural components related to the data engineering stack.
- Work closely with Data Engineers, ML Engineers and SREs to gather data engineering requirements to prototype, develop, validate and deploy data science and machine learning solutions
Requirements to be successful in this role:
- Strong knowledge and experience in Python, Pandas, Data wrangling, ETL processes, statistics, data visualisation, Data Modelling and Informatica.
- Strong experience with scalable compute solutions such as in Kafka, Snowflake
- Strong experience with workflow management libraries and tools such as Airflow, AWS Step Functions etc.
- Strong experience with data engineering practices (i.e. data ingestion pipelines and ETL)
- A good understanding of machine learning methods, algorithms, pipelines, testing practices and frameworks
- Preferred) MEng/MSc/PhD degree in computer science, engineering, mathematics, physics, or equivalent (preference: DS/ AI)
- Experience with designing and implementing tools that support sharing of data, code, practices across organizations at scale
.NETExperience: 2 to 8 Yrs.
Primary Skills:
Very good knowledge in C#.NET, SQL
Should have hands on writing Unit Test cases
Experience with Application Packaging, building and deploying the application
Secondary Skills (Not Mandatory):
Knowledge in Microsoft Excel, PL/SQL, MySQL.WPF, MVVM
Knowledge in Developing Excel Plugins using Excel Interops
Minimum 3 years of experience in developing desktop applications using WPF.
Highly skilled with object oriented design, Enterprise patterns, application Tiers and layers, and effective coding practices
Experience with Microsoft Office automation tools like Word/Excel Interops
Machine Learning (ML)
Data ScienceJob Summary
Condé Nast is seeking an experienced and highly motivated Software engineer-ML who will support
productionizing projects in a databricks environment for the data science team. We expect the person
to be a software/data engineer experienced in building robust ML systems & deploying ML pipelines
in production, Study and transform data science prototypes into an engineering product and is
knowledgeable about machine learning models.
**This role is NOT for building Machine Learning models **
Primary Responsibilities
● Operationalize ML models into production environment(s) by building data
pipelines ● Designing and developing Machine Learning Systems
● Keep abreast of developments in the field
● Come up with engineering ideas to resolve problems faced with respect to ML pipeline ●
Design and code highly scalable, machine learning frameworks processing large volumes of data
● Engineer a near-real-time system that can process massive amounts of data efficiently ●
Collaborate with other Machine Learning Engineers and Data Scientists in architecting &
engineering the solution
● Participate in the entire development lifecycle, from concept to release
● Participate in all phases of quality assurance and defect resolution
Desired Skills & Qualifications
● 5+ years software development experience with highly scalable systems involving
machine learning and big data
● Understanding of data structures, data modeling and software architecture
● Strong software development skills with proficiency in Python/Pyspark
● Experience with Big Data technologies such as Spark, Hadoop
● Familiarity with machine learning frameworks and libraries would be a good-to-have
skill ● Excellent communication skills
● Ability to work in a team
● Outstanding analytical and problem-solving skills
● Applicants should have a Undergraduate/Postgraduate degree in Computer Science or a
related discipline
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.
Swift
Objective C
iOS App Development● Experience Level: 2+ Years
● Extensive iOS development experience (iOS SDK, XCode, Objective C, Swift)
● Excellent understanding of iOS UX/UI guidelines/best practices and the ability to
engage with the creative team to deliver pragmatic solutions, balancing design,
quality, and velocity, iOS app architecture and use of design patterns.
● Strong OO & Objective-C skills, with an appreciation for pragmatism and simplicity
in code
● Good Communication Skills.
- Brand Awareness- websites , LinkedIN and other Digital Platforms.
- generateleads :- Inbound.
- brandawareness :- freelancers, upwork.
- Identify best practices of other companies :- competitions study.
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Full Stack Developer - Averlon