Engineering Manager (Backend/Frontend), 6-9 Years

• SAAS
• Enterprise 
• fintech 
• Payments
• Healthcare

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Role & Responsibilities

1. Create innovative architectures based on business requirements.
2. Design and develop cloud-based solutions for global enterprises.
3. Coach and nurture engineering teams through feedback, design reviews, and best practice input.
4. Lead cross-team projects, ensuring resolution of technical blockers.
5. Collaborate with internal engineering teams, global technology firms, and the open-source community.
6. Lead initiatives to learn and apply modern and advanced technologies.
7. Oversee the launch of innovative products in high-volume production environments.
8. Develop and maintain high-quality software applications using JS frameworks (React, NPM, Node.js etc.,).
9. Utilize design patterns for backend technologies and ensure strong coding skills.
10. Deploy and manage applications on AWS cloud services, including ECS (Fargate), Lambda, and load balancers. Work with Docker to containerize services.
11. Implement and follow CI/CD practices using GitLab for automated build, test, and deployment processes.
12. Collaborate with cross-functional teams to design technical solutions, ensuring adherence to Microservice Design patterns and Architecture.
13. Apply expertise in Authentication & Authorization protocols (e.g., JWT, OAuth), including certificate handling, to ensure robust application security.
14. Utilize databases such as Postgres, MySQL, Mongo and DynamoDB for efficient data storage and retrieval.
15. Demonstrate familiarity with Big Data technologies, including but not limited to:

- Apache Kafka for distributed event streaming.

- Apache Spark for large-scale data processing.

- Containers for scalable and portable deployments.

Technical Skills:

1. 7+ years of hands-on development experience with JS frameworks, specifically MERN.
2. Strong coding skills in backend technologies using various design patterns.
3. Strong UI development skills using React.
4. Expert in containerization using Docker.
5. Knowledge of cloud platforms, specifically OCI, and familiarity with serverless technology, services like ECS, Lambda, and load balancers.
6. Proficiency in CI/CD practices using GitLab or Bamboo.
7. Strong knowledge of Microservice Design patterns and Architecture.
8. Expertise in Authentication and authorization protocols like JWT, and OAuth including certificate handling.
9. Experience working with high stream media data.
10. Experience working with databases such as Postgres, MySQL, and DynamoDB.
11. Familiarity with Big Data technologies related to Kafka, PySpark, Apache Spark, Containers, etc.
12. Experience with container Orchestration tools like Kubernetes.

Engineering Manager Responsibilities:

• Platform stability and smooth functioning on a day to day basis.
• Proposing and managing budgets for projects and for growth.
• Supervising the work of multiple teams (build, test, infrastructure).
• Planning and executing strategies for completing projects on time.
• Identifying potential roadblocks and building contingency plans.
• Quickly dealing with bugs and breaks in the operational environment.
• Determining the need for training and talent development.
• Team building.
• Product launch with management buyin.
• Providing clear and concise instructions to engineering teams.

Engineering Manager Requirements:

• Bachelor's / Masters degree in CS or related.
• 8 t0 12 years' engineering experience.
• Proven supervisory and technical skills.
• Capable of working in an unsupervised agile environment.
• Must come highly-recommended.

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.

Advertising at our client is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on our clients portal and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies.The Supply Quality organization in Bangalore has the charter to solve optimization problems for ad programs to ensure high-quality ad-impressions. We develop advanced algorithms and systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems.

The Supply Quality infrastructure(SQI) team builds large-scale real-time transactional solutions, batch and stream processing systems, internet scale crawling solutions and storage infrastructure. We process bid requests in the orders of tens of billions per day with our real-time, batch and stream processing systems. To handle data at this scale, we use cutting-edge open source technologies like Hadoop, Spark, Redis etc.. We are not tied to one technology. Instead, we use what is best suited for the purpose. All of our systems tend to be loosely coupled, communicating using synchronous and asynchronous messaging, leading to a classic distributed processing architecture. All our systems need to also implement complex machine learning and optimization algorithms at scale. 

We are looking for a talented Engineering Manager to lead a new big-data engineering initiative within SQI. The team will own building highly available, efficient and low latency internet scale infrastructure including web-scale crawler, contextual processing and classification systems that will be used across multiple advertising use cases. As a leader of the team, you will be responsible to evolve the charter of the team, work with stakeholders to set goals and deliver them. To succeed, you need to demonstrate sound technical acumen, excellent project management skills, great communication skills, and hire, build, and develop your team. You will be responsible for fostering a culture of engineering excelllence towards delivering cutting-edge solutions that materially improve customer experience.


Primary responsibilities:

• Provide technical expertise and leadership throughout product life cycles, influence software engineers best practices for your team and own operational metrics
• Work with business leaders and product managers to define product requirements.
• Prioritize, communicate, maintain, and execute roadmaps, project plans, and commitments
• Work with engineers to define technical requirements and architect and execute best-in-class implementations in agile manner
• Build and maintain world-class customer experience and operational excellence for your deliverables
• Hire, manage, mentor and grow a high performance team of Software Engineers

‍You will be responsible for architecting and developing features on the application end to end. You will be responsible for the functional/technical track of the project. Serve as a role model for our high engineering standards and bring consistency to the many codebases and processes.

• 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.
• Constantly improve the architecture of the application by clearing the technical backlog.
• Meeting both technical and consumer needs.
• Staying abreast of developments in web applications and programming languages).

‍An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

• 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.

‍You will work with a top-notch tech team, working closely with the architect and engineering head.

‍A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.

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. Xoxoday 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.

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.