11+ Social engineering Jobs in Pune | Social engineering Job openings in Pune

1. Work closely with senior engineers to design, implement and deploy applications that impact the business with an emphasis on mobile, payments, and product website development
2. Design software and make technology choices across the stack (from data storage to application to front-end)
3. Understand a range of tier-1 systems/services that power our product to make scalable changes to critical path code
4. Own the design and delivery of an integral piece of a tier-1 system or application
5. Work closely with product managers, UX designers, and end users and integrate software components into a fully functional system
6. Work on the management and execution of project plans and delivery commitments
7. Take ownership of product/feature end-to-end for all phases from the development to the production
8. Ensure the developed features are scalable and highly available with no quality concerns
9. Work closely with senior engineers for refining and implementation
10. Manage and execute project plans and delivery commitments
11. Create and execute appropriate quality plans, project plans, test strategies, and processes for development activities in concert with business and project management efforts

3 to 5 years of experience in Testing software applications
● Thorough Understanding of - Test life cycle & Defect life cycle
● Ability to understand requirements thoroughly, design, develop, execute tests and ensure
test coverage
● Strong command in any one of the programming languages
● Experience with any Open Source testing tools like Selenium , RestAssured, Appium.
● Ability to understand the test automation framework concepts, Contribute to the
development of automation frameworks and authoring automated tests
● Ability to quickly learn new technologies in a dynamic environment
● Understanding of GIT or equivalent
Mandatory Requirements:
● Bachelors and/or master’s in computer science or equivalent
● Excellent computer fundamentals, analytical and problem-solving skills
● Exceptional testing skills. Provide good attention to details
● Strong communication and collaboration skills

Location - Pune/ Mumbai/ Bangalore

 

Education

Degree, Postgraduate in Computer Science or related field (or equivalent industry experience)

 

Experience

• Minimum 5 years of coding experience in NodeJS, JavaScript and Databases.
• At least 1 year hands-on in TypeScript .
• Hands-on experience in performance tuning, debugging, monitoring

 

Technical Skills

• Excellent knowledge developing scalable and highly-available Restful APIs using NodeJS technologies
• Practical experience with GraphQL.
• Experience in working with AWS platform and its core services like Lambda, Cloud Watch, Cloud Formation, CDK, SQS, S3 etc., or its equivalent Azure services
• Hands-on working experience in front-end applications development with HTML, CSS, Node JS with strong working experience in backend technologies Java, TypeScript and JavaScript programming languages.
• Understanding of containerization, experienced in Dockers , Kubernetes.
• Exposed to API gateway integrations like 3Scale.
• Understanding of Single-Sign-on or token-based authentication (Rest, JWT, oAuth)
• Experience on DevOps ways of working with good understanding on CI/CD and actively involved in solving, troubleshooting issues in distributed services ecosystem
• Hands on experience with both SQL and No-SQL databases.
• More than 3 years proven experience in developing high volume scalable cloud solutions utilizing platforms like Amazon AWS or Microsoft Azure.
• Possess expert knowledge of task/message queues include but not limited to: AWS, Microsoft Azure, Pushpin and Kafka

Functional Skills

• Experience in following best Coding, Security, Unit testing and Documentation standards and practices Experience in Banking, Financial and Fintech experience in an enterprise environment preferred
• Experience in Agile methodology.
• Ensure quality of technical and application architecture and design of systems across the organization.
• Effectively research and benchmark technology against other best in class technologies.

Soft Skills

• Able to influence multiple teams on technical considerations, increasing their productivity and effectiveness, by sharing deep knowledge and experience.
• Self-motivator and self-starter, Ability to own and drive things without supervision and works collaboratively with the teams across the organization.
• Have excellent soft skills and interpersonal skills to interact and present the ideas to Senior and Executive management

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.

* Looking for someone who is having end to end experience in Marking strategy for IT product company.
*Develop a digital marketing plan suitable for your organization, and then implement said plan.
* Experienced in team handling is a must.
* Managing team of SEO, Content Writer, Graphics Designer, WordPress Developer, Lead/Demand Generation, BDE.

We are seeking a passionate DevOps Engineer to help create the next big thing in data analysis and search solutions.

You will join our Cloud infrastructure team supporting our developers . As a DevOps Engineer, you’ll be automating our environment setup and developing infrastructure as code to create a scalable, observable, fault-tolerant and secure environment. You’ll incorporate open source tools, automation, and Cloud Native solutions and will empower our developers with this knowledge. 

We will pair you up with world-class talent in cloud and software engineering and provide a position and environment for continuous learning.

We are looking for 2 bright Junior frontend engineers to join our fontend team to build an exciting SaaS product. 1-4 years of experience Skills: - Exceptional programming abilities - Javascript Programming - HTML/CSS - Web programming fundamentals - ReactJS knowledge a bonus This is an opportunity to join from the start of the product journey. To help build and scale the entire product and take it to market. It's an exciting journey, to say the least.  As an early team member, you will have ample growth opportunities in the organisation. Instazen is a newly formed company and is a sister concern of Zensoft (https://www.zensoftservices.com/) and Qualitia (https://www.qualitiasoft.com/). The office is located in Sai Radhe complex behind the Hotel Sheraton near Pune Station.

Title: Windows Developer Location: Pune, India Overview appOrbit is an emerging startup enabling customers accelerate the digital transformation of their businesses. Our vision is to make it possible for enterprises to deploy and manage end to end life cycle of any application (legacy, cloud native, windows, linux) on any infrastructure (virtual machines, containers, bare-metal) across any cloud (public, private, hybrid). Our platform is already helping several dozen customers realize this vision. appOrbit is looking for Windows developer who enjoys working on the bleeding edge technology solutions. As a Software Development Engineer (SDE) - Windows you will be architecting and developing cutting edge container and container orchestration solutions on the Windows platform. You will work closely with the open source communities and will have the opportunity to define and drive the still nascent technology around Windows containers. Responsibilities:  Architect core components of the appOrbit platform.  Build container and container orchestration solutions (example: docker, kubernetes) based on Windows.  Develop Windows kernel drivers.  Develop, debug, optimize and test the final product.  Work closely with customers to make them successful on our platform, especially on the components that you architect and build.  Work hand in hand with the QA teams to drive performance verification, scale testing and benchmarking. Qualifications:  Bachelor’s degree or higher in Computer Science or related field  4-6 years’ of experience  Familiarity with containers and container orchestration tools such as docker, kubernetes, dockerswarm etc.  Excellent Windows programming and debugging skills  Familiarity with Windows performance analysis, code profiling and optimization  Familiarity with x86 (32 and 64 bit) architecture.  Experience with storage technologies is highly desirable.  Exposure to low-level networking technologies is an asset. Preferred Skills:  Ability to architect out of the box solutions.  Ability to work in a fast paced environment. Self- starter  Thrive working in a closely knit team. Benefits  Fun, creative and fast-paced working environment  Terrific medical and accident insurance plans  Pantry stocked with snacks and beverages  Flexible time-off with generous paid holidays

Hi Candidates, We have an urgent opening for Client Servicing profile for Pune Location. Responsibilities will include:
 1. Maintain & retain client relationship for all digital media servicing 2. Should have good strategic & communication skills with an ability to understand the creative brief 3. Translate brief to both creative & operations team 4. Maintain & coordinate within various in-house departments – especially creative and social media team. 5. Create Mock up, Presentations basis on the creative brief given by client and same needs to be explained to the Internal creative team. 6. Develop a crisp and creative content to support marketing and corporate communication needs. 7. Assist with production of artwork, source images and check copy. 8. Developing a thorough understanding of client's businesses and brands. 9. Ensuring client requests are developed into internal briefs in line with the Agency's procedures.
 10. Managing all client requests and ensuring delivery of work on time and as per clients' requirements. 11. Taking a proactive role in creative briefs and Ad operations and have the ability to propose innovative solutions. 12. Coordinate with social media team and support them with Innovative content and copy of the creatives. To be considered for this position, one must have: 1. Sound knowledge of digital lead-gen processes, i.e., Google AdWords and other Search Engine Marketing tools, including Facebook, LinkedIn, YouTube, Twitter etc. 2. Understanding of the digital creatives like – Landing Pages, Display Banners, Facebook ads and Posts, Microsites, Emailers etc. 3. Knowledge in writing journals, brochures, whitepapers 4. Preparing interactive presentations and mock ups 5. Copy-writing, Proof-reading