Head of Engineering

Are you passionate about pushing the boundaries of Artificial Intelligence and its applications in the software development lifecycle? Are you excited about building AI models that can revolutionize how developers ship, refactor, and onboard to legacy or existing applications faster? If so, Zevo.ai has the perfect opportunity for you!

As an AI Researcher/Engineer at Zevo.ai, you will play a crucial role in developing cutting-edge AI models using CodeBERT and codexGLUE to achieve our goal of providing an AI solution that supports developers throughout the sprint cycle. You will be at the forefront of research and development, harnessing the power of Natural Language Processing (NLP) and Machine Learning (ML) to revolutionize the way software development is approached.

Responsibilities:

1. AI Model Development: Design, implement, and refine AI models utilizing CodeBERT and codexGLUE to comprehend codebases, facilitate code understanding, automate code refactoring, and enhance the developer onboarding process.
2. Research and Innovation: Stay up-to-date with the latest advancements in NLP and ML research, identifying novel techniques and methodologies that can be applied to Zevo.ai's AI solution. Conduct experiments, perform data analysis, and propose innovative approaches to enhance model performance.
3. Data Collection and Preparation: Collaborate with data engineers to identify, collect, and preprocess relevant datasets necessary for training and evaluating AI models. Ensure data quality, correctness, and proper documentation.
4. Model Evaluation and Optimization: Develop robust evaluation metrics to measure the performance of AI models accurately. Continuously optimize and fine-tune models to achieve state-of-the-art results.
5. Code Integration and Deployment: Work closely with software developers to integrate AI models seamlessly into Zevo.ai's platform. Ensure smooth deployment and monitor the performance of the deployed models.
6. Collaboration and Teamwork: Collaborate effectively with cross-functional teams, including data scientists, software engineers, and product managers, to align AI research efforts with overall company objectives.
7. Documentation: Maintain detailed and clear documentation of research findings, methodologies, and model implementations to facilitate knowledge sharing and future developments.
8. Ethics and Compliance**: Ensure compliance with ethical guidelines and legal requirements related to AI model development, data privacy, and security.

Requirements

1. Educational Background: Bachelor's/Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A strong academic record with a focus on NLP and ML is highly desirable.
2. Technical Expertise: Proficiency in NLP, Deep Learning, and experience with AI model development using frameworks like PyTorch or TensorFlow. Familiarity with CodeBERT and codexGLUE is a significant advantage.
3. Programming Skills: Strong programming skills in Python and experience working with large-scale software projects.
4. Research Experience: Proven track record of conducting research in NLP, ML, or related fields, demonstrated through publications, conference papers, or open-source contributions.
5. Problem-Solving Abilities: Ability to identify and tackle complex problems related to AI model development and software engineering.
6. Team Player: Excellent communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
7. Passion for AI: Demonstrated enthusiasm for AI and its potential to transform software development practices.

If you are eager to be at the forefront of AI research, driving innovation and impacting the software development industry, join Zevo.ai's talented team of experts as an AI Researcher/Engineer. Together, we'll shape the future of the sprint cycle and revolutionize how developers approach code understanding, refactoring, and onboarding!

Amagi is a SaaS platform that lets every content owner deliver their content to consumers anytime, anywhere, to any device. Amagi helps bring entertainment to hundreds of millions of consumers leading the transformation in media consumption. We believe in a connected ecosystem bringing content owners, distribution platforms, consumers and advertisers together to create great experiences. 

Amagi grew by 136% last year and is on its way to double itself again this year. The market leader in FAST (Free Ad-supported Streaming TV), it delivers more than 500 media brands to 1500+ end points and is growing exponentially. 

At Amagi, our CRM Platform is key to our continued growth. The success of our sales, marketing and customer onboarding teams is dependent on the success of our Salesforce CRM platform setup and its ability to provide scalable, reliable and intuitive experiences to our customers, partners and internal stakeholders.

We are looking for an Engineering Manager to help us lead the efforts of building our billing platform and related process automation solutions. The ideal candidate would be responsible for the successful delivery of a scalable and flexible billing platform and workflows related to accounts receivable and accounts payable.

Role reporting into: Engineering Director - Enterprise Platforms

Individuals reporting into this role: Architect, Staff Software Engineer, Software Tech Lead

Location: Bangalore, India

Key responsibilities include (but are not limited to):

• Lead the core Engineering activities in an Agile model
• Participate in the overall design and development discussions
• Work closely with the Product Management team to establish product and engineering roadmaps.
• Provide architectural and technical guidance to the team and ensure they follow sound engineering practices
• Demonstrate accountability towards intended business outcomes, by working with product management and other functional teams.
• Evaluating Salesforce Standard vs Custom solutions and guide the team.
• Lead the Salesforce implementation related to marketing, sales and order management processes.

Person Specification:

• 10+ years of overall SDLC experience with 6+ years of experience in Salesforce development and architecture
• Implementation experience with Sales Cloud, Service Cloud, Marketing Cloud and/or Revenue Cloud.
• Hands-on with experience with Apex, Lightning web component and REST API programmatic solutions.
• Strong command of Salesforce best practices
• Strong web development skills (JavaScript, HTML, CSS).
• Experience developing the usage/subscription based billing for SaaS products.
• Salesforce certifications
• Strong in CS fundamentals (object oriented analysis, data structures, algorithms)
• Knowledge of Finance & Operations concepts
• Salesforce integration experience with NetSuite, Jira etc.

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.

Responsibilities:

• Investigate technologies and solutions which help the team achieve deliverables and results.
• Working with business process analysts and technical leads to derive conceptual designs and solutions.
• Assisting project managers with sizing estimates and work-breakdown structures.
• Develop and unit test software within teams of varied sizes and geographical distributions.
• Benchmarking and load testing developed modules and integrated applications.
• Assisting quality assurance team in the conduct of solution testing.
• Documenting software specifications and requirements.
• Working with infrastructure teams to define and establish application environments and implementation of software applications.
• Provide post-implementation support for developed software applications and solutions.

Measures of Success:

• The delivery of software solutions that meets requirements and are within budget and project timeline.
• Achieves good quality development metrics and standards that are aligned with industry best practices.
• 
  Skill Requirements:
• Knowledge of General Open System / Distributed systems platforms
• Knowledge of cloud service like AWS, Azure, GCP
• Experience in developing and implementing Restful APIs
• Good understanding of Network ports/Transfer protocols.
• Ability to process/analyze large amounts of data and logs.
• UI and Backend Development experience (Full stack).
• 6+ years of experience in software development within Linux environment; with a strong focus on development using JAVA, Javascript, C and BASH shell & Python scripting.
• Experienced in structured and agile development methodologies.
• Experienced in load testing and benchmarking tools such as JMeter, Loadrunner, etc.
• Experienced in Linux-based database technology and versed with stored procedures.
• Experienced in web services developments using XML, SOAP, JSON.
• Knowledge of application security setup using common security standards like SSL, TLS, secured ciphers, etc.
• Experienced with software versioning control using GIT.

Soft Skills:

• Strong interpersonal and communication skills.
• Strong problem solving and analytical skills.
• Self-motivated and detail-oriented with a desire to design and develop top quality software products.

Basic Qualifications for Consideration:

• Bachelor’s Degree in Computer Science or related
• Minimum 4 years of experience

We are looking for a coding Engineering Manager based in Chennai. This is a new role within the growing Engineering function, where you will be responsible for leading a team of talented professionals, assisting them to deliver complex technical solutions across a range of teams. The successful candidate will be comfortable directing, planning and coordinating the team, as well as developing overall concepts for new and existing products and processes. Reporting into the Head of Engineering for our Chennai team, this role is integral to the successful growth of the team as well as wider company performance. 

What You’ll Be Doing:

Play the role of a servant leader in helping the team to excel in the areas of ownership and help to continuously raise the bar on performance.

Perform your responsibilities through delegation, empowerment and influence aimed at delivering long term outcomes for the team and business.

Build, manage and grow one or more engineering team(s), foster Agile practices and continuous improvement, enable engineers to build, test, deliver and operate high-level software products across the company

A hands-on technical approach to management, leveraging your software engineering experience to assist product needs and build

Work with our Product, DevOps, and Data Science functions on articulating roadmaps & ensure a high quality and timely implementation to support our mission and help eliminate identity fraud

Join a mission-orientated company, solving real-world fraud and identity based challenges

Facilitate career growth and success for all team members.

What You’ll Bring:

6+ years of demonstrated deep technical design and programming skills (in individual capacity) designing and delivering enterprise grade distributed systems in the following tooling; Web applications (Java/PHP/.NET/Python) or Mobile applications (SDK, Android/iOS)

2+ years prior experience managing one or more Agile engineering team(s); contributing to a track record of building complex and technical products, ideally within a start-up or fast scaling environment

Track record of having managed performance cycles of engineers of varying experience levels directly reporting to you.

Experience with building software with Agility and in conformity to security standards.

Willingness to “roll-up your sleeves and get your hands dirty” when required

Experience delivering and operating complex software solutions - understanding the end-to-end needs of what is involved within this process.