
Why this role is unique
● Blank canvas: you'll be one of the founding members of our Growth team and help lay the foundation for what we work on and how the team operates
● Massive impact and visibility: our product is just now taking shape and your work will
directly serve 60M+ SMBs in Indonesia
● World class team: you will work side-by-side with serial entrepreneurs and startup veterans that sail from all corners of the world (including Indonesia, Singapore, Hong Kong, Taiwan, UK, US, Canada, India and more)
What you will own
At the company, product-led growth (“PLG”) is our secret weapon to delighting our customers and driving business impact. As a Product Manager in the Growth team, you will help create a product-driven culture that is obsessed with experimenting with new ways to deliver simple, fun, and inspiring product experiences to our customers.
You will:
● Own the strategy and roadmap for product initiatives that drive one or many growth areas,ranging from acquisition to retention
● Design, develop, test, and ship product features, funnels, loops, and flywheels that drive
organic, self-sustaining growth
● Partner with engineers, designers, data scientists, and researchers to conduct data-driven experimentation (A/B tests, multivariate tests)
● Define, analyze, and monitor metrics that inform the success of products
● Champion, strengthen, and be the evangelist for product-led growth within the company
Qualities we look for:
● Has a proven track record of owning the end-to-end product development lifecycle, including
ideation, development, testing, and launch
● Has experience designing, running, analyzing, and interpreting experiments (A/B tests,
multivariate tests)
● Has strong customer empathy and experience translating customer needs/feedback into
actionable product growth initiatives
● Can communicate effectively, influence without authority, and align a cross-functional team
towards a common goal
● Is detail-oriented with superior organization skills and the ability to effectively manage
multiple priorities, projects, and deadlines
● Enjoys working on complex, ambiguous problems with a diverse, multidisciplinary group of
people in a fast-paced environment
● Is passionate about software, fintech, and emerging markets

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Experience : 8+ Years
Location : Pune / Remote
Employment Type : Contract (12+ Months)
Mandatory Skills :
Cisco Routing & Switching, Cisco ACI, Nexus, F5 Load Balancer, Infoblox DNS/DHCP, FortiGate Firewall (Cisco ASA preferred), Zscaler/Bluecoat Proxy, BGP, OSPF, EIGRP, ITIL, ServiceNow.
Job Summary :
We are looking for an experienced Senior Network Engineer (L2) to provide operational support for enterprise network infrastructure in a 24x7 global environment. The ideal candidate will be responsible for incident management, network change implementation, troubleshooting, and ensuring the availability and performance of LAN, WAN, and Data Center networks.
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Preferred :
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team needs help, from writing blog posts to supporting customers.
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projects with high business impact.
KEY QUALIFICATIONS
● BE/BTech in Computer Science or related field.
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KEY SKILLS
● Strong computer system analysis and design skills in current methodologies and
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IT Infrastructure & System Administration
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We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software.
Machine Learning Engineer Responsibilities:
Consulting with managers to determine and refine machine learning objectives.
Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
Transforming data science prototypes and applying appropriate ML algorithms and tools.
Ensuring that algorithms generate accurate user recommendations.
Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping abreast of developments in machine learning.
Machine Learning Engineer Requirements:
Bachelor's degree in computer science, data science, mathematics, or a related field.
Master’s degree in computational linguistics, data analytics, or similar will be advantageous.
At least two years' experience as a machine learning engineer.
Advanced proficiency with Python, Java, and R code writing.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth knowledge of mathematics, statistics, and algorithms.
Superb analytical and problem-solving abilities.
Great communication and collaboration skills.
Excellent time management and organizational abilities.
Job Summary
Condé Nast is seeking an experienced and highly motivated Software engineer-ML who will support
productionizing projects in a databricks environment for the data science team. We expect the person
to be a software/data engineer experienced in building robust ML systems & deploying ML pipelines
in production, Study and transform data science prototypes into an engineering product and is
knowledgeable about machine learning models.
**This role is NOT for building Machine Learning models **
Primary Responsibilities
● Operationalize ML models into production environment(s) by building data
pipelines ● Designing and developing Machine Learning Systems
● Keep abreast of developments in the field
● Come up with engineering ideas to resolve problems faced with respect to ML pipeline ●
Design and code highly scalable, machine learning frameworks processing large volumes of data
● Engineer a near-real-time system that can process massive amounts of data efficiently ●
Collaborate with other Machine Learning Engineers and Data Scientists in architecting &
engineering the solution
● Participate in the entire development lifecycle, from concept to release
● Participate in all phases of quality assurance and defect resolution
Desired Skills & Qualifications
● 5+ years software development experience with highly scalable systems involving
machine learning and big data
● Understanding of data structures, data modeling and software architecture
● Strong software development skills with proficiency in Python/Pyspark
● Experience with Big Data technologies such as Spark, Hadoop
● Familiarity with machine learning frameworks and libraries would be a good-to-have
skill ● Excellent communication skills
● Ability to work in a team
● Outstanding analytical and problem-solving skills
● Applicants should have a Undergraduate/Postgraduate degree in Computer Science or a
related discipline
About Condé Nast
CONDÉ NAST GLOBAL
Condé Nast is a global media house with over a century of distinguished publishing history. With a
portfolio of iconic brands like Vogue, GQ, Vanity Fair, The New Yorker and Bon Appétit, we at Condé Nast
aim to tell powerful, compelling stories of communities, culture and the contemporary world. Our
operations are headquartered in New York and London, with colleagues and collaborators in 32 markets
across the world, including France, Germany, India, China, Japan, Spain, Italy, Russia, Mexico, and Latin
America.
Condé Nast has been raising the industry standards and setting records for excellence in the publishing
space. Today, our brands reach over 1 billion people in print, online, video, and social media.
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.
Role/ Responsibilities
- Lead a team of hard working backend developers.
- Design APIs, DB, Queues, monitoring for micro services.
- Writing, deploying and managing micro services.
- Migrate existing components into distributed micro service architecture.
- AWS Cloud / Google Cloud Platform (Manage Infrastructure).
- API integration with 3rd parties.
- Unit test cases, automation.
- Database optimisation.
- Design of highly concurrent backend architecture.
- Handling high traffic data.
Experience required:
- Sound fundamentails in software design.
- Must have worked on distributed and micro service architecture.
- Sound fundamentals on scale/ performance/ memory optimisation.
- Sound fundamentals of authentication, authorization, payment processes, data security.
- Must have experience in Spring / Spring boot.
- Good to have experience in Kafka / JMS / RabbitMQ / AWS Elastic queue.
- Good to have experience in Junit / mockito unit test cases.
- Good to have knowledge in Mysql (or any RDBMS).
SiteRecon is looking for an Engineering Leader who can visualize the nuts and bolts of the product architecture and bring it to life. You will be responsible for leading the engineering team and contributing to product conception from an engineering standpoint. You will also be the thought leader for engineering in the team.
You will lead the development of new smart web applications and you will be mainly involved in the development of our platform (SiteRecon). You will be working in an exciting environment alongside people with tremendous ambition. You will have the freedom to implement your own designs & solutions. You will be working together with the core team of SiteRecon - all graduates from IITs working at the cutting edge for the past few years, CEO, CPO, and CDS.
Role and Responsibilities:
- Ensure high-quality customer experience through our products.
- Hiring and retaining engineering teammates.
- Inculcate a culture where high-quality engineers can thrive and grow.
- Contribute to product conception from an engineering perspective.
- Take complete, end to end ownership of development and production pipelines of internal tools and consumer-facing products.
- Ensure high performance, reliability, and availability of hosted deep learning and geoprocessing services.
- Translate high-level tasks and product requirement documents into technical design documents and scalable, maintainable and readable codebases.
- Develop and implement high and low-level system design for engineering projects.
- Develop scripts and set up the infrastructure for monitoring and logging for all deployed software.
- Coordinate with internal teams to understand data processing pipelines and provide technical solutions.
- Effectively lead teams of junior developers and ensure high code quality through code reviews, automated linting, etc.
- Represent engineering team before stakeholders outside SiteRecon (users, investors, job candidates)
Does This Sound Like You?
Must Haves:
- 3+ years of experience in the backend (preferably Django), frontend and software design and architecture.
- Experience with DevOps technologies such as Docker, Kubernetes, Jenkins or CI/CD.
- Knowledge of messaging services like Apache Kafka, RabbitMQ.
- Understanding of cloud services like AWS and GCP.
- Experience working at a startup that scaled while you were there.
- Experience managing a team, converting product requirements into engineering sow.
Good To Haves:
- Experience with PostGIS or any other geo-database.
- Understanding of Geographic Information Systems and related terminologies.
- Experience in developing production versions of deep learning applications.
Candidate attribute (Culture Fit):
- Comfortable operating in a constantly changing and fast-paced environment.
- A passionate, driven individual who can achieve results through both, independently and teamwork and collaborative approaches.
- Have a strong work ethic and natural ownership ability.
Requirements
Technical Skills
- Ability to solution & deliver all of Operations/SRE services & processes including managing L2 Environment Support
- 5-12 years of overall environment support experience with 5+ years of experience as support / SRE engineer
- Experience in implementing Monitoring solutions using APM tools( Example: AppDynamics, Graylog, Dynatrace, Datadog etc.) set up and test proactive monitoring alerts
- Have a broad knowledge profile and really excel in some areas, such as HTTP/TLS, DNS, networking or containerization
- Comfortable with large scale production systems and technologies, for example load balancing, monitoring, distributed systems, microservices, and configuration management.
Process Skills
- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive
- Interest in designing, analyzing and troubleshooting large-scale distributed systems.
Behavioral Skills
- Practice sustainable incident response and blameless postmortems.
- Proven ability in developing relationships with stakeholders, communicating project/program status, and understanding detailed business requirements across multiple project initiatives
- This role requires candidates to work in rotational shifts. 24*7 support
Benefits
LOCATION: Mumbai
COMPENSATION: Competitive
WHY ZYCUS? :
- Be a part of one of the fastest growing product Company in India
- Come join a young, dynamic & enterprising team
- Work on the latest technologies
- Flexible working hours (As per business requirement).
Zycus Global Leader Procurement: https://www.zycus.com/newsroom/press-releases.html" target="_blank">https://www.zycus.com/newsroom/press-releases.html











