Python
Java
Amazon Web Services (AWS)
Machine Learning (ML)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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Amagi Media Labs
About
Company social profiles
Similar jobs
Python
Django
Go Programming (Golang)JavaRoles:
- Developing core infrastructure in Python, Django.
- Developing models and business logic (e. g. transactions, payments, diet plan, search, etc).
- Architecting servers and services that enable new product features.
- Building out newly enabled product features
- Minimum 4 years of industry or open-source experience.
- Proficient in at least one OO language: Python(preferred)/Golang/Java.
- Writing high-performance, reliable and maintainable code.
- Good knowledge of database structures, theories, principles, and practices.
- Experience working with AWS components [EC2, S3, RDS, SQS, ECS, Lambda].
MongoDB
Express- Ability to translate Wireframes and PSD Designs into functional web apps using HTML5, AngularJS, React , Node.js, and Mongo, Dynamo
- With 3+ years, Proven experience as a Full Stack Developer or similar role preferably using MERN stack.
- Binding of UI elements to JavaScript object models
- Creating RESTful services with Node.js
- Architect scalable web architectures
- Work in a cross-functional team to deliver a complete user experience
- Create Unit and Integration tests to ensure the quality of code
- Be responsive to change requests and feature requests
- Write code that is cross-platform and cross-device compatible
- Ability to wear many hats and learn new technologies quickly
- Experience in using AWS
Amazon Web Services (AWS)
Docker
KubernetesJob Description
Role Overview:
We're looking for a passionate DevOps engineer with a minimum of 10 years’ experience across all levels, who will work closely with the development teams in Agile setup to continuously improve, support, secure, and operate our production and test environments. We believe in automating our infrastructure as much as possible and pursuing challenging problems in a sustainable and repeatable way.
Our Toolchain
- Ansible, Docker, Kubernetes, Terraform, Gitlab, Jenkins, Fastlane, New Relic, Datadog, SonarQube, IaC
- Apache, Nginx, Linux, Ubuntu, Microservices, Python, Shell, Bash, Helm
- Selenium, Jmeter, Slack, Jira, SAST, OSSEC, OWASP
- Node.JS, PHP, Golang, MySQL, MongoDB, Firebase, Redis, Elastic search,
- VPC, API Gateway, Cognito, DocumentDB, ECS, Lambda, Route53, ACM, S3, EC2, IAM
You'll need:
- Production experience with distributed/scalable systems consisting of multiple microservices and/or high-traffic web applications
- Experience with configuration management systems such as Ansible, Chef, Puppet
- Extensive knowledge of the Linux operating system
- Troubleshooting skills that range from diagnosis to solution for Dev team issues
- Knowledge of how the web works and HTTP fundamentals
- Knowledge of IP networking, DNS, load balancing, and firewalling
Bonus points, if you have:
- Experience in agile development and delivery process.
- Good knowledge of at least one programming language. TecStub uses e.g. Nodes, PHP
- Experience in containerizing applications and deployment to production (Docker, Kubernetes)
- Experience in building modern Terraform infrastructures in cloud environments (AWS, GCP, etc...)
- Experience in analysis of application and database performance monitoring tools (Newrelic, datalog, cluster control, etc..)
- Experience with SQL databases like MySQL, NoSQL, Realtime database stores like Redis, or anything in between.
- Experience being part of the engineering team that built the platform.
- Knowledge of good security practices, including network security, system hardening, secure software, and compliance.
- Familiarity with automated build pipeline / continuous integration using Gitlab and Jenkins and Kubernetes/Docker with this setup, we're deploying to production 2 times per day!
Interview Process:
The entire interview process would take approximately 10 Days.
- HR Screening Call (15 minutes)
- Technical Interview Round Level 1 (30 Minutes)
- Technical Interview Round Level 2 (60 minutes)
- Final Interview Round (60 minutes)
- Offer
About Tecstub:
Tecstub is a renowned global provider of comprehensive digital commerce solutions for some of the world's largest enterprises. With offices in North America and Asia-Pacific, our team offers end-to-end solutions such as strategic Solution Consulting, eCommerce website and application development, and support & maintenance services that are tailored to meet our clients' unique business goals. We are dedicated to delivering excellence by working as an extended partner, providing next-generation solutions that are sustainable, scalable, and future-proof. Our passionate and driven team of professionals has over a decade of experience in the industry and is committed to helping our clients stay ahead of the competition.
We value our employees and strive to create a positive work environment that promotes work-life balance and personal growth. As part of our commitment to our team, we offer a range of benefits to ensure our employees are supported and motivated.
- A 5-day work week that promotes work-life balance and allows our employees to take care of personal responsibilities while excelling in their professional roles.
- 30 annual paid leaves that can be utilized for various personal reasons, such as regional holidays, sick leaves, or any other personal needs. We believe that taking time off is essential for overall well-being and productivity.
- Additional special leaves for birthdays, maternity and paternity events to ensure that our employees can prioritize their personal milestones without any added stress.
- Health insurance coverage of 3 lakhs sum insured for our employees, spouse, and children, to provide peace of mind and security for their health needs.
- Vouchers and gifts for important life events such as birthdays and anniversaries, to celebrate our employees' milestones and show appreciation for their contributions to the company.
- A dedicated learning and growth budget for courses and certifications, to support our employees' career aspirations and encourage professional development.
- Company outings to celebrate our successes together and promote a sense of camaraderie among our team members. We believe that celebrating achievements is an important part of building a positive work culture.
Skills
AWS, Terraform, KUBERNETES, GITHUB, APACHE, BASH, DOCKER, ANSIBLE, GIT, Microservices, UBUNTU, GITLAB, CI/CD, APACHE SERVER, NGINX, NODEJS
iOS App Development
Objective C
Swift-
Degree in Computer Science or a related field
-
You have prior experience as an iOS Developer
-
You have a portfolio of released applications on the App Store
-
You are familiar with mobile product and design lifecycles
-
You have proven experience in iOS development in either Objective-C / Swift
-
Experience with iOS frameworks
-
Familiarity with RESTful APIs to effectively integrate iOS applications
-
Proficient understanding of code versioning tools (eg. Git)
-
Familiarity with various testing tools
-
You are a problem solver with good analytical skills
The role of a Personal Loan Risk Head is to own, manage and communicate risk policies and processes. He/She shall provide hands-on development of risk models involving market, credit and operational risk, assure controls are operating effectively, and provide research and analytical support. Prospective candidates must have excellent quantitative and analytical skills, along with the ability to apply those skills across a variety of business processes.
Key Expectations
- Designing and implementing an overall risk management process for the Personal Loan portfolio, which includes an analysis of the financial impact on the company when risks occur
- Performing a risk assessment: Analyzing current risks and identifying potential risks that are affecting the company
- Own the portfolio risk metrics - Loss forecasting, Stress testing, Credit Risk, Liquidity risk, Collections performance & strategy & overall ROA by segment.
- Monitor portfolio risk from granular dimensions and constantly implement strategies to maintain risk metrics within specific ranges.
- Monitor various operational metrics and develop alerting mechanisms to maintain process efficiency
- Designing and implementing strategies for Underwriting, Account Management, Portfolio Monitoring and Collections
- Develop risk based credit policies and pricing grids to maximize approvals within specific segments of risk
- Work with data science team which will develop algorithms and scorecards and drive decision models across various business segments.
- Partner with Engineering team to implement policies and scorecards.
- Supervise creation of time-sensitive analytics, visualisations, and complicated, high-visibility reports for Risk and Business management to use in portfolio monitoring and strategic decision-making.
Competencies -
- Have strong business understanding of the retail lending business in India and understanding of the regulatory landscape
- Should have hands-on experience working as data analyst or data scientist or statistical modeler in retail space, preferably in financial services or ecommerce.
- Strong experience in establishing and managing high-performing teams with a collaborative leadership approach.
- Outstanding communication skills, both verbal and written
Interview Rounds:
Key Competencies :
.NETMachine Learning (ML)- 6+ years of experience in software design, development and deployment
- Must have extensive experience in architecture, design and development on .NET framework, C#, WPF
- Must have experience of relational database such as My SQL and MS SQL Server
- Must have experience in Web Services, SOAP, TCP
- Must have excellent experience in debugging, Problem Solving and root cause analysis
- Must have experience on writing Nunit test cases
- Exposure to new tech stacks: AI, ML, BigData, Cloud, Broker Engine, Rule Engine, Report Builder
- Strong exposure to Mean Stacks (Mongo, Express, Angular, Node and React for simple and scalable full stack applications)
- Should have good experience of creating designs & design patterns.
- Lead and Mentor the team technically
NodeJS (Node.js)
React.js
JavascriptMongoDB
Objective CSwiftiOS App Development
jQueryJavascriptReact.jsNodeJS (Node.js)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon