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What will you be doing at Enalo?
- Understand the problem statement and derive potential product solutions.
- Conduct market research, competitor analysis and user research.
- Collaborate with multiple teams to take the product forward.
- Participate in product strategy, build a roadmap and execute to bring products to life.
- Manage product requirement definition and feature identification for future initiatives, including documentation of prioritized feature sets and use cases.
- Lead the development and QA teams at the appropriate times to realise the goals of the product.
- Own scrum and all the related activities like sprint planning, and release.
- Create user stories and use cases for product features.
- Look for roadblocks and mitigate risks.
- Organize daily stand-ups, brainstorming and review sessions.
- Maintain backlogs and prioritize them effectively.
- Experience the product as an end-user and identify gaps to make the product better. And ensure users can see the value of the product!
- Craft product presentations and do demos.
- Define product metrics and speak through data.
- Be a driving force in assembling the resources necessary to ship high-impact products and features, and facilitate communication throughout the development process.
- Work with the release process and support teams to ensure that the product is released successfully and any issues in production are resolved quickly.
- Measure and analyse the success of a product or feature using internal tools as well as tools like Google Analytics
- Efficiently manage agile development of the product.
- Contribute to the product's 'Go To Market' Strategy.
Skills required :
- Strong familiarity with product development, user flows and UI experience.
- Proven ability to successfully manage all phases of the product development lifecycle.
- Expertise with web/mobile analytic tools.
- Excellent organizational, statistical, strategic thinking, problem-solving, analytical, written and oral presentation and communication skills.
- Strong understanding of agile management (Scrum).
- Ability to break the ground through research and data analysis.
- Good collaboration, design thinking and presentation skills.
- Affinity to marketing.
- Preferred experience in product development as an engineer
- Preferred experience in a product company
- Experience in building or working with an early-stage tech product startup would be a plus.
- Excellent organizational, statistical, strategic thinking, problem-solving, analytical, written and oral presentation and communication skills.
- Experience in B2B SaaS/Payments will be added advantage.
Nextyn is expanding and is looking for its next superstar - a research consultant. Please note - this is not related to financial or equity research. The role pertains to Market Research (Primary & Secondary)
The candidate must have:
- At least 3 years of experience working in market research.
- Must be capable of identifying and understanding new industries, globally and shortlisting research papers written by prominent researchers on the topic.
- Good communication skills to speak with end clients
- Prepare presentations to explain their findings to the end client
We're looking at immediate joiners or people with a maximum notice period of 15 days.
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.
Position/ Level SPFx and Migration Developer Total years of Experience Relevant years of Qualification
Essential Skills
3-5 yrs. of Experience in SharePoint Online and O365
2 yr. minimum of SPFx, React JS and TypeScript experience
Good experience in Power Platform
API creation experienc
**THIS IS A 100% WORK FROM OFFICE ROLE**
We are looking for an experienced DevOps engineer that will help our team establish DevOps practice. You will work closely with the technical lead to identify and establish DevOps practices in the company.
You will help us build scalable, efficient cloud infrastructure. You’ll implement monitoring for automated system health checks. Lastly, you’ll build our CI pipeline, and train and guide the team in DevOps practices.
ROLE and RESPONSIBILITIES:
• Understanding customer requirements and project KPIs
• Implementing various development, testing, automation tools, and IT infrastructure
• Planning the team structure, activities, and involvement in project management
activities.
• Managing stakeholders and external interfaces
• Setting up tools and required infrastructure
• Defining and setting development, test, release, update, and support processes for
DevOps operation
• Have the technical skill to review, verify, and validate the software code developed in
the project.
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or
creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Identifying and deploying cybersecurity measures by continuously performing
vulnerability assessment and risk management
• Incidence management and root cause analysis
• Coordination and communication within the team and with customers
• Selecting and deploying appropriate CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous
development, and constant deployment pipeline (CI/CD Pipeline)
• Mentoring and guiding the team members
• Monitoring and measuring customer experience and KPIs
• Managing periodic reporting on the progress to the management and the customer
Essential Skills and Experience Technical Skills
• Proven 3+years of experience as DevOps
• A bachelor’s degree or higher qualification in computer science
• The ability to code and script in multiple languages and automation frameworks
like Python, C#, Java, Perl, Ruby, SQL Server, NoSQL, and MySQL
• An understanding of the best security practices and automating security testing and
updating in the CI/CD (continuous integration, continuous deployment) pipelines
• An ability to conveniently deploy monitoring and logging infrastructure using tools.
• Proficiency in container frameworks
• Mastery in the use of infrastructure automation toolsets like Terraform, Ansible, and command line interfaces for Microsoft Azure, Amazon AWS, and other cloud platforms
• Certification in Cloud Security
• An understanding of various operating systems
• A strong focus on automation and agile development
• Excellent communication and interpersonal skills
• An ability to work in a fast-paced environment and handle multiple projects
simultaneously
OTHER INFORMATION
The DevOps Engineer will also be expected to demonstrate their commitment:
• to gedu values and regulations, including equal opportunities policy.
• the gedu’s Social, Economic and Environmental responsibilities and minimise environmental impact in the performance of the role and actively contribute to the delivery of gedu’s Environmental Policy.
• to their Health and Safety responsibilities to ensure their contribution to a safe and secure working environment for staff, students, and other visitors to the campus.
Job description
Our Senior Business Development Manager breathes life into our technology portfolio. They take great pride in developing lasting relationships, building great rapport, and using their flawless communication skills to sell our offerings to customers by phone, web, and email.
Primary Job Responsibilities:
- Primarily drives new customer acquisition through existing knowledge, experience, and industry network
- Drives the entire sales process; leads and assigns team responsibilities for opportunity qualification and development, solution architecting, RFP/RFI proposal development and customer reviews, negotiations and deal closure.
- Help position TechCospace as Talent Solution Provider in existing client list
- Responsible for Generating Lead through Online Bidding portals(Freelancer, Upwork, Elance, Guru) or any Social media platforms.
- Generating new Business in Software solutions and talent outsourcing.
- Experience with Lead generator, Calling, Drafting of proposals, Client interaction, Negotiation, Follow ups and also coordinate with technical team.
- Create Business Proposal, Presentations, Slides, and other documents as required by a potential client Use social media well to generate sales leads
- Setting out the GTM and executing it with support of company resources including but not limited to Marketing campaigns, demand Gen, working with industry experts, sourcing advisors, create and own account acquisition plans and manage the sales process
- Responsible for overall customer satisfaction for sold projects
Essential Experience:
- Minimum 3 years sales experience with a proven track record in IT Sales and Staff Aug
- Generating business leads in international market.
- Bidding and lead generation in software and It sales.
- Should have knowledge about how to sell Web Services and Digital Marketing Services
- Team Management
- Data Analysis
Personal Style Enablers:
- Build and sustain relationships with key people in the Customer Environment
- Customer Orientation
- Sales Orientation
- Strong Negotiating skills.
- Innovative and able to foresee market conditions
- Extrovert with a sales mind set
- Excellent Verbal/Written Communication skills
Education:
- Graduation is any discipline, MBA (preferred)
- As an Oracle Cloud ERP Developer, you are responsible for designing, developing, and maintaining RICE Objects. Your specialization will be focused on cloud architecture, application integration, and cloud application development using Oracle Cloud.
- Deliver innovative integration solutions using Oracle's PaaS offerings and maintain or enhance the existing integration solution.
- Deliver technical expertise and technical leadership when implementing solutions and developments.
- Assist with defining Scope and estimates for new project or builds.
- Collaborate by sharing knowledge and best practice within the practice and cross lines of business.
- Develop peer network to provide and receive product and skills assistance.
- Draft and review the Technical Specification documents.
- Conduct and attend internal trainings and workshops
What would your day look like?
- Collaborate with Implementation Partner and IS teams across Providence and deliver New Builds, builds via Change requests, Data Conversions, Testing and Document Reviews
Who are we looking for?
- 4+ years of Experience with at least 2 Cloud ERP HCM Implementations
- Hands on experience in any of these modules - Core HR/Payroll/Benefits/Compensation/ORC
- Experience in Oracle Integration Cloud (PaaS) ideally with integrations to/from Oracle Cloud Application.
- Hand on experience in building integration/interfaces based on webservices (SOAP and REST), File based interfaces (Batch Processing), Database (SQL and PLSQL).
- Good understanding on file handling process using OIC with various file types like XML, CSV and JSON.
- Ability to understand and develop complex integrations and should have good knowledge in integration patterns and error handling mechanism.
- Good understanding of Oracle PaaS architecture and security concepts Comfortable in XML and XSLT processing.
- Experience in ERP Cloud with knowledge in modules like Core HR, Payroll, Benefits and Absence Management.
- Should be well versed with Fusion HCM data load capabilities like HDL, PBL, Spreadsheet Loader.
- Should have worked on Oracle Fusion Functional Setup Manager (FSM) to implement enhancements.
- Should be aware of customization process in ERP Cloud: Sandboxes, Page Integrations, Application and Page Composer etc.
- Excellent communication, interpersonal skills and Ambitious individual who can work under their own direction towards agreed targets/goals.
● Experience Level: Min 2+ years
● Experience working with Nodejs/any JS framework, operating blockchain nodes especially in
Ethereum.
● Knowledgeable about smart contract security and best practices (design patterns).
● Build back-end web services that interact with the Ethereum blockchain.
● Research, design, implement and maintain all decentralized finance systems.
● Good Communication Skills.
We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.
Skills:
- 5+ years deploying Machine Learning pipelines in large enterprise production systems.
- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.
Roles and Responsibilities:
Deploying ML models into production, and scaling them to serve millions of customers.
Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.
Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.
Provide software design and programming support to projects.
Qualifications & Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.