11+ White hat Jobs in Pune | White hat Job openings in Pune

We are currently looking for a Senior SEO and PPC Marketing Expert who will work with a team of developers, Product Owner, and Managers. You shall be responsible for conceiving and conducting the user research to translate them into actionable best SEO practices, activities and paid campaigns. You will also design the overall accessibility and 'findability' of the mobile application and web-platform, as well as other associated websites.  

• Gather the user requirements in collaboration with the Product Owner and Manager.
• Prepare and present the rough drafts to internal teams.
• Assist in translating best practices that lead to targeted organic user experiences.
• Helping to facilitate the product owners' product visions by researching, conceiving and implementing best SEO + PPC practices to achieve the targest.
• Help identify design problems and devise elegant solutions.
• Work with the team to create a strategic design and SEO decisions related to core, and new, functions and features.
• Take a user-centered design approach and rapidly test and iterate your designs.
• Collaborate with a cross-functional team of designers, product managers, and leads on all phases of the product development life cycle
• Incorporate best practices for accessibility, usability, web performance, and design into our products and ultimately champion more consistent and delightful user experience.
• Work with front-end developers and designers in all aspects of UX development.
• Perform research, evaluations, and validations of moderate complexity.
• Provide solutions using appropriate research methodology, tools, and protocols considering a user-centered approach.
• Perform usability/heuristic evaluations and validations across the product or solution life-cycle.

            Minimum Eligibility:

• Minimum 3 -4 years of experience in SEO and PPC
• Ability to effective communications and collaboration with other designers and product owners/managers to ensure the best possible ways of UX experience.
• Creative and Artistic nature.
• Knowledge of PPC and automation platforms would be ideal
• Experience in taking input from multiple sources and synthesizing it into coherent design ideas.
•  

 

Job Summary

• Candidate will be responsible for providing full life-cycle development (design, coding, and testing) and maintenance of web-based system on Azure
• Candidate should have experience in GitHub, knowledge of DevOps is a plus
• Experienced in designing and implementing web portals, experience with DNN is must
• Ability to work with multiple languages including C#, ASP.Net, MVC, Javascript and related libraries, HTML, Complex SQL queries, CSS, BootStrap, JSON.
• Experience in Agile project management methodology
• Developing and Delivering Excellent Web based solutions/portals/sites based on customer’s requirement within the stipulated timeline
• The candidate should be flexible to learn new technology and platform and should be creative, innovative for improvement ideas, detail oriented, diligent, and eager to learn and grow

Duties and Responsibilities

• Understand business requirements to apply logic to integrate functionalities
• Identify and understand any technical bugs on the server, site, log files or modules and work on resolving the bugs
• Understand how FTP server is setup for the site
• Understand system/site technical requirements and suggest enhancements if applicable
• Designing, coding, unit Testing, and integration with Database
• Handle site deployment
• Designing, coding, debugging, technical problem solving, and writing Unit Test cases, etc.

Qualifications

Education / Certification

• B.E. / B.Tech. /MSC in Computer Science or IT.
• MCAD/MCSD/MSITP/MCPD

Technical Expertise

• ASP,ASP.NET,VB.NET,MVC,C#,SQL Server 2012+
• HTML, Javascript, Jquery, CSS, Bootstrap
• GitHub/ 
• Web API/ Web Services, Email Services

Skills and Abilities

• Be able to work with diverse global teams and in an individual contributor role as needed
• Excellent English written and verbal communication skills (for local team and global stakeholders/team members)
• Strong task management skills including time management, and ability to manage multiple projects simultaneously
• Flexibility required to attend late evening meetings with global team members
• Attention to detail and delivering quality projects and knowledge assets

Sr. Database Engineer :
Preferred Education & Experience:
•Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics or related technical field or equivalent practical experience.

Well-versed in and 5+ years of hands-on demonstrable experience with:
▪Data Analysis & Data Modeling
Database Design & Implementation
Database Performance Tuning & Optimization
▪PL/pgSQL & SQL
•5+ years of hands-on development experience in Relational Database (PostgreSQL/SQL
Server/Oracle).
•5+ years of hands-on development experience in SQL, PL/PgSQL, including stored procedures,
functions, triggers, and views.
Hands-on experience with demonstrable working experience in Database Design Principles, SQL
Query Optimization Techniques, Index Management, Integrity Checks, Statistics, and Isolation
levels.
Hands-on experience with demonstrable working experience in Database Read & Write
Performance Tuning & Optimization.
•Knowledge and Experience working in Domain Driven Design (DDD) Concepts, Object Oriented
Programming System (OOPS) Concepts, Cloud Architecture Concepts, NoSQL Database Concepts
are added values
•Knowledge and working experience in Oil & Gas, Financial, & Automotive Domains is a plus
Hands-on development experience in one or more NoSQL datastores such as Cassandra, HBase,
MongoDB, DynamoDB, Elastic Search, Neo4J, etc. a plus

Job Location : Pune/Remote

Work Timings : 2.30 pm-11:30 pm

Joining Period : Immediate-20 day

Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.

Position- Backend Lead

Location : Pune/Bangalore

Exp : 10+ years

Prefer Mid Jan joiners

 

• 8+ years’ experience in Core Java / J2EE, Tomcat, Application Server, Web Services, spring, Spring Boot, Hibernate, messaging systems.
• 10 years min with Team leading experience
• Java 8+, Docker Container, Continuous Integration /Continuous Deployment
• Spring Boot,
• Microservice Architecture,          
• PostgreSQL, Azure,MySQL,
• Docker Container, Continuous Integration /Continuous Deployment         

> Experience in VF, Apex Triggers, Asynchronous Apex
> Strong knowledge of the Lightning framework
> Experience working with Sales or Service Cloud, Community Cloud, Marketing Cloud
> Experience in REST & SOAP APIs, knowledge of Governor limits involved during Integration
> Working knowledge on continuous integration, working with repositories (e.g. Git)
> Should have the experience to design the data flow and work with any ETL or data loader

Responsibilities:

1) Translate customer insights into concepts, personas, user journeys, storyboards, system maps, user flows, wireframes, visual design comps and prototypes with Adobe CS, Figma, and other tools

2) Create and ensure technical feasibility of UI/UX Design with active collaboration with Engineering and Product teams in iterative product development cycles

3) Manage and support the entire design process from concept preparation to final artwork as an individual contributor

4) Communicate the product's vision and articulate design decisions and trade-offs both verbally and visually

5) Incorporate industry standards, trends, user research and usability testing to iterate on product proposals

6) Define and execute product branding elements in collaboration with the design team and marketing team that include in-product deliverables as well as product-related marketing materials for Facebook, Instagram and such.

Skills Required:

1) Bachelor's Degree or equivalent in Computer Science, Design, Multimedia, Human-Computer Interaction, Graphic Design or equivalent

2) High attention to detail and demonstrated a flair for iterative design, information architecture and creative visualization.

3) Proficiency in the use of popular design software such as Adobe XD, Figma, Photoshop, Illustrator, Affinity Designer, or similar mainstream medium.

4) Ability to maximize the design potential of any medium - Instagram Posts, YouTube teasers, infographics, Word and PowerPoint templates

5) Flair for articulating ideas pictorially and verbally

GeoSpoc is looking for passionate backend developers who would like to solve complex business problems using location-aware data and cutting-edge tools and technologies such as microservices and cloud platforms such as AWS.

 

• A passionate developer with solid understanding of software basics  
• Always willing to learn and explore upcoming technologies
• Pro-active, reliable and result oriented
• Someone who can continuously perform in a fast-paced environment

 

• Write effective, scalable code
• Develop back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs
• Improve functionality of existing systems
• Implement security and data protection solutions
• Assess and prioritize feature requests
• Coordinate with internal teams to understand user requirements and provide technical solutions

 

• Expertise in at least one popular Python framework (like Django, Flask or Pyramid)
• Knowledge of object-relational mapping (ORM)
• Familiarity with front-end technologies (like JavaScript and HTML5)

 

• Writing and testing code, debugging programs and integrating applications with third-party web services
• Work closely with small teams of designers, frontend developers, GIS experts as well as business stakeholders
• Own the development lifecycle of backend systems from design to deployment
• Go above and beyond to deliver great quality software solutions on time

Looking for a strong technically sound senior engineer in IPSec VPN development for our NSX product line https://lnkd.in/eKYbptz