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Job Location: Chennai
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.
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*Make sure to fill out the link below*
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About TensorIoT
- AWS Advanced Consulting Partner (for ML and GenAI solutions)
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TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.
TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!
TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
Job Description
At TensorIoT India team, we look forward to bringing on board senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process.
What are the kinds of tasks Data Scientists do at TensorIoT?
As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client.
Minimum Requirements:
- Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.
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- Published scientific papers in the relevant domain of work.
CV Tips:
Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following:
- Focus:
- More focus on technical skills relevant to the job description.
- Less or no focus on your roles and responsibilities as a manager, team lead, etc.
- Less or no focus on the design aspect of the document.
- Regarding the projects you completed in your previous companies,
- Mention the problem statement very briefly.
- Your role and responsibilities in that project.
- Technologies & tools used in the project.
- Always good to mention (if relevant):
- Scientific papers published, Master Thesis, Bachelor Thesis.
- Github link, relevant blog articles.
- Link to LinkedIn profile.
- Mention skills that are relevant to the job description and you could demonstrate during the interview / tasks in the selection process.
We appreciate your interest in the company and look forward to your application.
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Qualification : B.E./B.Tech. (Computer Science/IT)
Experience : 6-8 Years
Location : Remote/Bangalore
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with product and project managers
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Tech-Stack:
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• NodeJS Loopback
• TypeScript
• GraphQL
• NextJS/ReactJS
• React Native
• PostgreSQL
• TravisCI/CircleCI
• Neo4J
• Redis
• Apache Kafka
• Github
• JIRA/Confluence
• Slack
Benefits:
• Competitive Salary
• Flexible working hours and work-from-home policy
• Cutting Edge Tech Stack
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Design, experiment, and implement processes to increase the overall productivity.
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Provide technical expertise and leadership wherever required throughout product life cycles, influence / evangelize best engineering practices
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Be hands-on in technical architecture and reviews
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Very strong analytical and problem-solving skills in a super changing environment
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Minimum 8 years of quality experience.
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5 years of hands-on experience in building large-scale systems. A proven performance track record and a team player with high energy,
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A good business sense and deep empathy towards user needs and able to envision solutions for a B2B SAAS product.
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Excellent communication, leadership, and presentation skills
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About Company
A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls, and Compass. works with over 1000 global clients. We help our clients engage and motivate their employees, sales teams, channel partners, or consumers for better business results.
Engineering Manager
Requirements:
Education - B.Tech/MCA or equivalent.
Overall 10 to 12 years of experience.
Agnostic/Polyglot with multiple tech stacks.
Worked on open source technologies – NodeJS, ReactJS, MySQL, NoSQL, MongoDB, Columnar DBs
Good experience with Front-end technologies like JavaScript frameworks, React, AngularJS.
Backend exposure – good knowledge of building API using Node or Lambda or python.
Good understanding of ELK, Kafka, Redis and CDN.
Worked on serverless technologies and good understanding of CMS.
Efficient in building microservices in combining server & front-end.
Good understanding of AWS and its technologies.
Should be innovative and communicative in approach and should be hands on coding guru
Will be responsible for the functional/technical track of a product.
Experience with Scaling SAAS products and ability to design from scratch.
Ability to manage a small team of 5 -10 Developers/QA Engineers and guide them on the design and coding best practices
Design and develop SaaS-based applications based on microservices architecture.
Work on the core backend and ensure it meets the performance benchmarks.
Work on the front-end with ReactJS.
Designing and developing APIs for the front-end to consume.
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Lead a diverse team of High performing Engineers - who set new standards everyday.
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Be a great engineer yourself - to be able to hire, mentor, and grow the engineering team.
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Estimate, plan, divide and conquer customer problem statements - through sturdily developed & performant technical solutions.
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Handle multiple competing priorities and ambiguity - all in a fast-paced, high growth environment.
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7+ years of experience as an engineer or a lead - solving real world customer problems.
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1-4 years of experience as a manager - having led high value delivering engineering teams.
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BE / B. Tech /M. Tech from a premier institute - preferably in Computer Science.
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Proven track record of building and managing high performing engineering teams.
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The ability to convince, negotiate and work with equally competent and smart stakeholders.
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Experience building complex technical solutions - highly scalable service-oriented architectures, distributed cloud-based systems - which power our FinTech products.
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Proven ability to present complex technical information in a clear and concise manner to executives and non-technical leaders.
Job description:
Title – Technical Manager
Department – Technology
Reports To – CTO
Location – Andheri E, Mumbai
Compensation – Market Competitive
Role Specifications –
Solutioning the E-Retail team’s organizational technical initiatives
Responsible for System Architecture & Design
Designing, integrating and managing complex infrastructure solutions
Managing escalations, negotiate issues and schedule with stakeholders
Work closely with the Operations Head and Process owners for technical interventions/initiatives
Support pre-sales and creating pilots to showcase capability
Monitored network designs and employed technological advancements in business network
architecture.
Trained network professionals and assisted in resolving operational issues.
Recommend Alternative Technologies and Improvements.
Project management experience
Experience with web technologies and building enterprise architecture roadmaps
Experience designing, integrating and managing complex infrastructure solutions
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Strong written and oral communication skills, and the ability to effectively communicate with technical
and non-technical audiences
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IT Delivery Management, Architecture Consulting, Production Support
Release & Configuration management.
Core Java & Java Enterprise Technologies – Jmeter, Spring, JsF, Structs 1.x, Hibernate 3. Ejb 2.0,
Primefaces, Apache Poi, Itext.
Build / Automation - Apache Ant, Apache Maven 3.0, Nexus.
Databases - Mysql, Mariadb, Nosql (Cassandra, Mongodb)
Scrummaster, Pmp, Agile And Standard Sdlc Models.Tomcat, Jboss 4.X, Weblogic 10.3
Configuration - Oracle Fusion Middleware 11, Identify & Access Management, Jahia 5.0.6
Domain Experience –
Knowledge of Retail/CPG domain ecommerce terms/concepts (SKUs, ASINs, catalogs, etc…)
preferred
Experience in building automation processes/products for back-office retail operation teams
will be beneficial
Knowledge of web scraping, product matching, attribution etc will be an added advantag
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