Tech Lead – Conga CPQ/CLM & ERP

🚀 Job Title : DevOps Engineer / Site Reliability Engineer (SRE)

Experience Level : 4+ Years

Location : Gurugram Sector 48, Haryana (On-site)

Employment Type : Full Time Opportunity

About the Role :

We are looking for a proactive DevOps / Site Reliability Engineer (SRE) with around 4 years of hands-on experience designing, automating, and scaling cloud infrastructure and CI/CD delivery pipelines.

In this role, you will bridge the gap between development and operations. You will be responsible for orchestrating containerized applications, automating infrastructure via Code (IaC), establishing SRE best practices (SLIs, SLOs, SLAs), and ensuring maximum uptime, resiliency, and operational efficiency across multi-cloud environments (AWS/Azure/GCP).

Mandatory Skills :

AWS, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitLab CI/CD, GitHub Actions, Python, Bash, CI/CD, Infrastructure as Code (IaC), Grafana, Prometheus, ELK, New Relic, CloudWatch, SRE, SLI/SLO/SLA, Linux

Key Responsibilities :

1. Cloud Infrastructure & Infrastructure as Code (IaC) :

• Provision, configure, and maintain scalable, high-availability infrastructure on multi-cloud platforms, primarily AWS (EC2, VPC, IAM, S3, RDS, Route53, ALB/ASG, Lambda, EBS).
• Build, deploy, and manage Infrastructure as Code (IaC) using Terraform, Ansible, and CloudFormation to enforce consistency and eliminate configuration drift.
• Execute disaster recovery (DR) planning, automated failover / failback mechanisms, and chaos engineering exercises to validate system resiliency.

2. CI/CD, Automation & Development :

• Design, end-to-end maintain, and optimize robust CI/CD pipelines using Jenkins, GitLab CI, and GitHub Actions.
• Automate release pipelines, versioning, branching strategies, and approval gates using Groovy, Python, and Bash scripting. Integrate automated code quality and security scanning tools (SonarQube, Black Duck, or Fortify) directly into delivery pipelines.
• Develop custom tools, scripts, or microservices (e.g., Python / Node.js) to automate manual operational tasks and operational toil.

3. Containerization & Orchestration :

• Onboard and orchestrate containerized microservices utilizing Docker and Kubernetes (including Helm charts).
• Ensure high availability, auto-scaling, resource management, and fault tolerance for Kubernetes pod deployments.

4. Observability, SRE & Incident Management :

• Drive Site Reliability Engineering (SRE) maturity by establishing, tracking, and reporting SLIs, SLOs, and SLAs with cross-functional engineering teams.
• Build, configure, and manage full-stack observability tools : Grafana, Prometheus, New Relic, Elasticsearch / Logstash / Kibana (ELK), Sentry, and AWS CloudWatch.
• Set up real-time alerting, custom metric dashboards, and automated log rotation / pruning scripts.
• Handle production incidents, lead Root Cause Analysis (RCA) investigations, and implement preventive measures to reduce Mean Time to Resolution (MTTR).

Required Qualifications & Skills :

• Education : Bachelor’s Degree in Electronics and Communication Engineering, Computer Science, or a related technical field.
• Experience : ~4 years of experience in DevOps, SRE, or Cloud System Administration roles.
• Cloud & Infrastructure : Hands-on experience with AWS (Core services like EC2, S3, VPC, RDS, IAM, Lambda, Auto Scaling) and exposure to Azure / GCP.
• CI/CD & Version Control : Proficiency with Jenkins, GitLab CI, GitHub Actions, and Git workflows.
• Containerization : Core proficiency in Docker and Kubernetes cluster management / onboarding.
• Infrastructure as Code : Expertise in Ansible, Terraform, or AWS CloudFormation.
• Scripting & Languages : Strong hands-on automation skills with Python, Bash, and foundational knowledge of Node.js, Java or C++.
• Observability & Logging : Strong experience with Grafana, Prometheus, New Relic, ELK stack, or Splunk.
• Database & SQL : Familiarity with relational databases (MySQL, RDS) for monitoring setup and operational analytics.

AR/VR Lead

Position: AR/VR Lead with Project Management Skills

Location: Full-Time, GGN

Experience: 3-5 years in AR/VR development and project management

Role Overview:

EaseMyTrip is seeking an experienced AR/VR Lead to spearhead its immersive technology initiatives for products like EasyVijay and EasyDarshan. The ideal candidate will combine technical expertise in AR/VR development with strong project management skills to lead a multidisciplinary team. This role is perfect for someone passionate about creating innovative experiences that blend technology with storytelling.

Responsibilities:

• Oversee the end-to-end development of AR/VR applications using Unity or Unreal Engine.

• Manage project timelines, allocate resources, and ensure deliverables are met on schedule.

• Collaborate with stakeholders to define project goals and align them with business objectives.

• Lead the integration of ARKit, ARCore, Oculus SDKs, or similar frameworks into immersive experiences.

• Guide 3D artists and developers in asset creation and application optimization.

• Stay updated on emerging trends in AR/VR technology to ensure innovation in projects like battlefield recreations and spiritual tourism simulations.

Requirements:

• 4+ years of hands-on experience in AR/VR development with Unity or Unreal Engine.

• Strong proficiency in programming languages.

• Proven experience managing teams or projects in the AR/VR domain.

• Excellent leadership, communication, and problem-solving skills.

Preferred Skills:

• Knowledge of Agile methodologies for project management.

• Experience integrating AI or machine learning into immersive applications.

Key Responsibilities:

• Work with distributed systems and implement asynchronous programming patterns
• Design and develop scalable backend applications using Python
• Build and integrate applications leveraging LLMs or traditional Machine Learning techniques
• Develop and maintain microservices-based architectures
• Work with databases and caching systems to optimize application performance
• Participate in code reviews and maintain high code quality standards
• Write clean, maintainable, and well-documented code following best practices

Required Skills:

• 3+ years of relevant experience
• Strong understanding of distributed systems and asynchronous programming in Python
• Experience building scalable applications using LLMs or traditional ML techniques
• Hands-on experience with databases, caching mechanisms, and microservices architecture
• Good problem-solving and debugging skills

Job Description:

- 3+ years of experience in Functional testing with good foundation in technical expertise

- Experience in Capital Markets/Investment Banking domain is MUST

- Exposure to API testing tools like SoapUI and Postman

- Well versed with SQL

- Hands on experience in debugging issues using Unix commands

- Basic understanding of XML and JSON structures

- Knowledge of FitNesse is good to have

Location:

Pune/Mumbai

About Wissen Technology:

·       The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·       Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·       Our workforce consists of 550+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·       Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·       Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·       We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·       Wissen Technology has been certified as a Great Place to Work®.

·       Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·       Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·       We have served clients across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include Morgan Stanley, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.

Website : www.wissen.com 

About The Company

 The client is 17-year-old Multinational Company headquartered in Bangalore, Whitefield, and having another delivery center in Pune, Hinjewadi. It also has offices in US and Germany and are working with several OEM’s and Product Companies in about 12 countries and is a 200+ strong team worldwide. 

The Role

Power BI front-end developer in the Data Domain (Manufacturing, Sales & Marketing, Purchasing, Logistics, …).Responsible for the Power BI front-end design, development, and delivery of highly visible data-driven applications in the Compressor Technique. You always take a quality-first approach where you ensure the data is visualized in a clear, accurate, and user-friendly manner. You always ensure standards and best practices are followed and ensure documentation is created and maintained. Where needed, you take initiative and make

recommendations to drive improvements. In this role you will also be involved in the tracking, monitoring and performance analysis

of production issues and the implementation of bugfixes and enhancements.

Skills & Experience

• The ideal candidate has a degree in Computer Science, Information Technology or equal through experience.

• Strong knowledge on BI development principles, time intelligence, functions, dimensional modeling and data visualization is required.

• Advanced knowledge and 5-10 years experience with professional BI development & data visualization is preferred.

• You are familiar with data warehouse concepts.

• Knowledge on MS Azure (data lake, databricks, SQL) is considered as a plus.

• Experience and knowledge on scripting languages such as PowerShell and Python to setup and automate Power BI platform related activities is an asset.

• Good knowledge (oral and written) of English is required.

• Experience in full-cycle recruiting
• Proficiency in recruitment software and social media recruiting techniques
• Proven ability to identify and attract top talent
• Strong communication and interpersonal skills
• Ability to build and maintain strong relationships with candidates and hiring managers
• Knowledge of labor laws and regulations
• Bachelor's degree in Human Resources, Business Administration, or related field
• Experience in the travel or hospitality industry is a plus
• Professional certification in HR or recruiting is a plus
• Proven experience of 1-2 years
• Immediate joiner from the location of Noida and Delhi NCR only.

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
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.

In today’s marketing-dependent consumer world, businesses demand innovative brand solutions and our client is engaged in providing brand solutions across businesses. They import renowned global brands & distribute the same. They have a dedicated eCommerce practice to build digital retail footprints for their brands in India. They focus on major categories under FMCG such as F&B, Personal care, etc. and also Home & Fabric Care.

Founded in 2003, our client has over 250 Pan-India Distributors and more than 300 SKUs. They deal with 25+ brands and some of the brands are Mogu Mogu, SAN REMO, Simpkins, Moccona, OMINO BIANCO, etc.

As a Key Account Manager - eCommerce, you will be responsible for leading and executing the company’s overall eCommerce strategy for website and primary channel partners – Amazon, Big Basket, Flipkart, Nykaa, Supr/BB Daily, Milkbasket as well as other new partners [Smytten, e-pharmacies, etc].

What you will do:

• Charting out plans for listing and relisting of brands and select SKUs on different channel partners
• Driving ecommerce operations – site availability, POs and ensuring 95%+ fill rates
• Managing all in-app visual merchandising, liaisoning with different brand leaders across US, Europe, Australia and South East Asia for accessing content related to respective partner brands and keeping the brand folder up to date with thematic, product hero and lifestyle content
• Driving in-app brand visibility, targeted marketing and promotional offers on different platforms
• Establishing processes for monitoring, measurement and optimization of performance marketing metrics to results in desired target sales achievement

Desired Candidate Profile

• Adept at business planning, JBPs and channel specific planning with 1+ years’ experience in Google Ads and Google Analytics
• Proficiency in using MS Excel and MS PowerPoint
• Prior experience of ecommerce vertical with Flipkart, Amazon or Big Basket will be an added advantage    

The person holding this position is responsible for leading the solution development and implementing advanced analytical approaches across a variety of industries in the supply chain domain.

At this position you act as an interface between the delivery team and the supply chain team, effectively understanding the client business and supply chain.

Candidates will be expected to lead projects across several areas such as

• Demand forecasting
• Inventory management
• Simulation & Mathematical optimization models.
• Procurement analytics
• Distribution/Logistics planning
• Network planning and optimization

Qualification and Experience

• 4+ years of analytics experience in supply chain – preferable industries hi-tech, consumer technology, CPG, automobile, retail or e-commerce supply chain.
• Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain
• Hands-on experience in delivery of projects using statistical modelling

Skills / Knowledge

• Hands on experience in statistical modelling software such as R/ Python and SQL.
• Experience in advanced analytics / Statistical techniques – Regression, Decision tress, Ensemble machine learning algorithms etc. will be considered as an added advantage.
• Highly proficient with Excel, PowerPoint and Word applications.
• APICS-CSCP or PMP certification will be added advantage
• Strong knowledge of supply chain management
• Working knowledge on the linear/nonlinear optimization
• Ability to structure problems through a data driven decision-making process.
• Excellent project management skills, including time and risk management and project structuring.
• Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis.
• Ability to liaison effectively with multiple stakeholders and functional disciplines.
• Experience in Optimization tools like Cplex, ILOG, GAMS will be an added advantage.