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Product Manager At, JetSynthesys, our primary focus is on Entertainment, Gaming, Digital Media, IT Services and New Ventures. JetSynthesys has expanded at a furious pace, drawing investors like Adar Poonawalla (CEO. Serum Institute) and Kris Gopalakrishnan (Co-Founder, Infosys). JetSynthesys has operations in India, MENA, SE Asia and USA. Job Requirements: • Lead the social gaming team in establishing the product vision & strategy, creating the product roadmap and planning & prioritizing feature development goals. • Own the P&L for the multi-game social gaming platforms which cover diverse set of games across genres. • Analyse and interpret data and make meaningful conclusions to provide insights on user behaviour to design & prioritise feature development. • Conduct competitive reviews of external games & identify gaps & opportunities through competitor analysis. • Create in-game economy and monetization models to maximise revenue earning potential of these platforms. • Lead Live Operations to improve revenue and engagement including optimizing virtual goods pricing, events, tournaments, etc. • Work with the marketing team on development and implementation of go-to-market & user acquisition strategies. Job Location: Pune Experience: 7+ Years About US: JetSynthesys is part of the Navani family owned JetLine Group of Companies whose roots go back to the 1930s in Bangkok, Thailand. Set up in 2014, digital gaming and entertainment firm JetSynthesys has expanded at a furious pace, drawing investors like Adar Poonawalla (CEO. Serum Institute) and Kris Gopalakrishnan (Co-Founder, Infosys). JetSynthesys has operations in India, MENA, SE Asia and USA. The company has recently acquired mobile-focussed game development studio Nautilus Mobile which is best known for Real Cricket. The company already develops cricket focused products such as Sachin Saga Cricket Champions and 100MB. Besides, it has developed properties such as Being Salman and Super Ludo. The company also has partnerships with American boxer Floyd Mayweather and wrestling entertainment company WWE. Its other properties include Nodwin Gaming, an e-sports joint venture that JetSynthesys says has generated Rs 100 crore in revenues in four years. In July 2020, the company has raised $40Mn in round led by Serum Institute of India chief executive officer Adar Poonawalla and Infosys co-founder Kris Gopalakrishnan. To know more about us, please visit - www.Jetsynthesys.com
Node JS Developer
We are looking for a Node JS Developer to join our team.
In this role, you will be entrusted with developing JavaScript applications using Node.js(NestJs framework).
Apply now for the role of a Node JS Developer at Codebuddy which is opening doors for skilled, energetic developers looking for Node JS Developer Jobs.
If you can help us design and create multiple layers of applications while working cross-functionally across different infrastructures and if you love problem-solving, Designing systems, and creating quality offerings, you would fit perfectly in Codebuddy.
Responsibilities:
- Developing and maintaining all server-side network components.
- Ensuring optimal performance of the central database and responsiveness to front-end requests.
- Collaborating with front-end developers on the integration of elements.
- Designing back-end services for various business processes.
- Developing high-performance applications by writing testable, reusable, and efficient code.
- Implementing effective security protocols, data protection measures, and storage solutions.
- Running diagnostic tests, repairing defects, and providing technical support.
- Documenting Node.js processes, including database schemas, as well as preparing reports.
- Recommending and implementing improvements to processes and technologies.
- Keeping informed of advancements in the field of Node.js development.
- Analyze requests for enhancements/changes and write amendment/program specifications.
- Understand the inter-dependencies of the service (application, system, and database) and be able to pinpoint problem areas accurately to improve overall efficiency.
- Translate storyboards and various use cases to create high-performing apps
- Help in code automation
What You Need To Apply (Technical Competency) :
- Bachelor's degree in computer science, information science, or similar.
- Minimum two years of experience as a Node.js developer.
- Minimum 6 months of hands-on experience with TypeScript.
- Basic knowledge of NestJs and ExpressJs.
- Extensive knowledge of JavaScript, web stacks, libraries, and frameworks.
- Knowledge of MongoDB.
- Knowledge of front-end technologies such as HTML5 and CSS3.
- Basics of Linux commands and basic Git knowledge for everyday workflow.
- Superb interpersonal, communication, and collaboration skills.
- Exceptional analytical and problem-solving aptitude.
- Great organizational and time management skills.
- Availability to resolve urgent web application issues outside of business hours.
- Self-motivated with the ability to work independently or jointly in a self-directed way.
Job Title: Equity Analyst - Trainee
Job Purpose:
Are you passionate about the stock market and eager to dive into the world of equity analysis? Join our dynamic team as an Equity Analyst - Trainee and embark on a journey of hands-on training and growth within the exciting realm of global market trading. You will gain invaluable experience analyzing the US markets, learning the intricacies of stock trading, and preparing yourself to make informed, data-driven trading decisions that could shape your career.
Key Responsibilities:
Master Technical Analysis: Learn how to perform cutting-edge technical analysis on major US stock exchanges including NYSE, NASDAQ, and Amex, unlocking the power to predict market movements.
Evaluate Securities: Gain expertise in assessing the performance and pricing of US-listed companies, using advanced tools and techniques to uncover trends and opportunities.
Forecast Market Trends: Develop your skills in forecasting stock performance and creating actionable projections based on thorough research and analysis.
Stay Ahead of the Curve: Keep a close eye on industry trends, market news, and global events that impact stock prices and market behavior.
Create Impactful Reports: Hone your ability to craft well-informed, data-backed reports that evaluate company fundamentals, historical performance, and potential future outcomes.
Career Growth: Upon successful completion of the program, transition into a full-fledged US Equity Analyst/Trader, where you’ll make key decisions in the US stock market, influencing the organization’s trading strategy.
Qualifications:
Educational Background: A degree in Finance (e.g., B. Com, BBA, MBA, PGDM) or certifications such as NCFM, CFA, or CMT. Passion for finance and trading is a must!
Age Range: Open to individuals between 20-24 years of age, ready to kick-start their career in equity analysis.
Fresh Mindset: Open to freshers or those looking to pivot into the world of stock market analysis and trading.
Not a Recent Applicant: Candidates who have participated in the selection process within the last 6 months are not eligible.
Work Timings & Location:
Work Hours: 06:00 PM to 03:00 AM, Monday to Friday—ideal for those who enjoy aligning their workday with global financial markets and US trading hours.
Location: International Tech Park (ITPP), Kharadi, Pune. Work in a modern, vibrant environment that fosters growth and innovation.
Why Join Us?
Skill Development: Receive comprehensive, hands-on training with the potential to grow into a high-impact US Equity Analyst role.
Career Advancement: This position provides clear career progression with exciting opportunities for professional growth. After training, top performers will have the opportunity to advance to roles such as:
1. Associate US Equity Analyst
2. Equity Analyst
3. Senior Equity Analyst
Incentives & Rewards: Enjoy a highly attractive incentive program, rewarding your hard work and achievements.
No Sales or Marketing: This is a purely analytical role—no selling or marketing of financial products or services. Focus on what matters most: analyzing markets and making data-driven decisions.
Training Program:
Duration: Minimum 3-month training period (subject to progress).
Full-Time, Permanent: This is a full-time opportunity with long-term potential.
Interview Process:
1. HR Round: We want to know about your background, motivations, and passion for financial markets.
2. Aptitude Test: Showcase your quantitative skills and ability to analyze complex data.
3. Technical/Manager’s Round: Dive deep into your knowledge of market analysis and your ability to interpret financial data and trends.
Domain: Automation Testing – Selenium Job Purpose
• Thought leadership - Consult with the client and setup/guides a team to strategize, design, implement and run automation solution supporting variety of applications
• Technical leadership - Identify, evaluate, recommend, and optimize current automated testing processes and tools
• Define and implement test automation strategy including roadmap, tools, framework, and approach across project teams
• Oversee technological delivery of the recommended automation solution roadmap across project teams
• setting up end to end QA processes across Requirement Analysis, Test Strategy/Design and Test reporting
• Participate in design and architectural reviews of proposed automation solutions across project teams
• Designing & implementing enterprise-wide QA strategy for variety of clients including complex applications across multiple tech stacks (involving both functional and automation testing)
• Planning, estimating (should be aware of robust models and how to use them) and tracking team’s work
• Status reporting: Track and report upon testing activities, including testing results, test case coverage, required resources, defects discovered and their status etc.
• Mentors/guides the team on technical knowhow
• Adhere to company project standards and guidelines Mandatory Skills & Experience
• 7-11 years of managing team experience and at least 4+ years of in-depth experience in establishing test automation frameworks, evaluating tools, and implementing continuous testing strategy
• Hands on framework development for a Green Field Project
• Strong hands-on experience in Java/JavaScript programming languages; java collection frameworks • Strong experience on QA Automation tools such as Selenium/Cucumber/Appium/SOAPUI etc.
• Strong exposure on UI or API automation, hands on Webservices/Microservices automation
• Experience in CI/CD tools, such as Gitlab(preferable) / Jenkins
• Experience in Cloud tech preferably AWS
• Experience on Cloud Platforms such as Sauce Labs, Perfecto
• Functional tools like Selenium (mandate), Web driver IO, NightWatchJS, etc
• Should have basic knowledge of JMeter or any other equivalent Performance testing tool
• Sound Knowledge of methodologies and approaches such as Agile, BDD, DevOps etc.
• Industry experience on Financial Services is preferred.
About US Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value Additional Information
• Gender Neutral Policy
• 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai)
• Generous parental leave and new parent transition program
• Flexible work arrangements • Employee Assistance Programs to help you in wellness and well being

Looking for an experienced NodeJS developer!
Work Mode :HYBRID
What You will do:
● Create beautiful software experiences for our clients using design thinking, lean, and agile methodology.
● Work on software products designed from scratch using the latest cutting-edge technologies, platforms, and languages such as NodeJS, JavaScript.
● Work in a dynamic, collaborative, transparent, non-hierarchical culture.
● Work in collaborative, fast-paced,d and value-driven teams to build innovative customer experiences for our clients.
● Help to grow the next generation of developers and have a positive impact on the industry.
Basic Qualifications :
● Experience: 4+ years.
● Hands-on development experience with a broad mix of languages such as NodeJS,
● Server-side development experience, mainly in NodeJS, can be considerable
● UI development experience in AngularJS
● Passion for software engineering and following the best coding concepts .
● Good to great problem-solving and communication skills.
Nice to have Qualifications:
● Product and customer-centric mindset.
● Great OO skills, including design patterns.
● Experience with devops, continuous integration & deployment.
● Exposure to big data technologies, Machine Learning, and NLP will be a plus.
Benefits:
● Competitive salary.
● Learning and gaining experience rapidly.
● Reimbursement for basic working setup at home.
Skills Required:JavaScript, UI development in AngularJS, Server-side development in NodeJS
Position: IT Sales Manager
Academic Background: B com/ BA / B. Tech. (Electronics/ IT) / MBA or an equivalent recognized diploma in IT engineering
Experience: 6+Years
Technical Domain Knowledge:
- Exposure/ Information/ Comfort on IT.
- New technologies, vendors, and competitors operating in the vertical
- Cutting-edge sales and customer relationship management concepts across segments.
Professional skills (Functional):
- Customer Focus
- Account Mapping
- Customer needs understanding
- Persuasion & Negotiation skills
- Relationship Management
- Customer Retention
- Service focus
Responsibilities
Designing a user interface (UI)
· Create responsive, logical, and visually appealing user interfaces for web and mobile applications.
· Work together with cross-functional teams to guarantee uniform and unified UI designs throughout the product.
· For the purpose of efficiently communicating design thoughts and ideas, create wireframes, mock-ups, and prototypes.
Designing for User Experience (UX)
· To better understand user needs, preferences, and behaviours, conduct user research.
· To guide design choices, create user personas, user journeys, and empathy maps.
· To improve the product's overall usability and user experience, iterate and improve user flows.
Interaction Design
· Define and implement interactive elements and animations to enhance user engagement and delight.
· Work closely with development teams to ensure seamless integration of design elements and interactions into the product.
Usability Testing
· Conduct usability testing and gather feedback from users to identify areas for improvement.
· Analyze user feedback and iterate designs based on insights obtained from testing.
· Design Guidelines and Documentation:
· Create and maintain design guidelines and documentation to ensure design consistency and scalability across the product.
Cross-Functional Collaboration:
· Collaborate with product managers, developers, and other stakeholders to align design goals with product objectives and technical feasibility.
· Participate in brainstorming sessions and provide creative input to product development discussions.
Qualifications
· Bachelor's degree in Design, Human-Computer Interaction, or related field.
· 2-3 years of professional experience in UI/UX design for digital products.
· Proficient in design tools such as Adobe XD, Sketch, Figma, or similar.
· Strong understanding of design principles, user-centered design, and design thinking.
· Knowledge of HTML, CSS, and JavaScript is a plus.
· Excellent communication and collaboration skills.
· Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.


As a Senior Principal Engineer, you’ll lead a team of engineers through challenging development projects. Come join a highly collaborative team of skilled engineers with a passion for quality.
What You’ll do:
- Work in an agile environment, orchestrating a group mostly comprised of skilled PHP engineers of various levels to complete User Stories authored by professional Product Managers
- Architect highly scalable/transaction heavy web/API applications
- Work with 1-2 Frontend resources (in addition to backend PHP) through projects in React, Angular (maintenance), MooTools/Jquery (deprecation), Socket.io and serverside NodeJS
- Work with Product and QA Managers in multiple grooming sessions and sprint planning for your team
- Collaborate/coordinate with other Engineering Managers and Leads
- Work with QA and Application Support teams to triage bugs
- Work with DevOps to automate deployment and monitoring of applications
- Design and develop Restful APIs using frameworks with design patterns
- Design JSON payloads and various payload contexts
- Convert complex business rules and workflows from User Story requirements into SalesForce type CRM applications and client facing web portals
- Work with monolithic legacy codebases, along with design patterns in newer repositories
- Work with large database schemas of 500+ tables
- Write complex queries. Efficiently joining upwards of 20 tables, some containing +10m rows. In T-SQL or Doctrine ORM
- Integrate 3rd party platforms via APIs and callbacks
- Write Unit tests and documentation
What You Have:
- 10+ years professional experience developing APIs & web based applications in PHP as an individual contributor
- Prior experience working with organized development teams (5+ member pods)
- Prefer hands-on experience using MS SQL Server, CosmosDB, but other relational databases/NoSQL ok (MySQL, Postgres, MongoDB)
- Professional experience using open source PHP frameworks. Symfony3+ preferred (Laravel, CodeIgniter - ok)
- Experience scaling in LAMP, but also leveraging Redis, RabbitMQ, Elastic Search (ELK), SupervisorD, Socket.io, centralized Session stores
- Prefer experience designing fault tolerant architecture on cloud deployments (loadbalancing, clustering, reducing/eliminating single points of failure, etc)
- Understand branching, merging, pull requests and conflict resolution in Git (Bitbucket or Github)
- Experienced in leveraging issue tracking systems and wikis for documentation (Jira/Confluence)
- Comfortable on CentOS Linux, command line, SSH, SFTP, SCP…
- Full stack is a plus (JavaScript, CSS, HTML, React/Angular/Vue)
- Able to onboard self and others while working entirely remotely in EST
- Experience in Azure PaaS and IaaS
- Experience crafting architecture diagrams in Visio or LucidChart
- Problem solving skills and a proactive work style
- Strong interpersonal & communication skills


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.
Candidates should have experience into field sales
Core sales Experience
Lead generation
Technical Sales Engineer
Should be from Mechanical Background.
Able to achieve sales Target
Interested candidates please apply ASAP.

You Will:
- Design, develop and maintain automation framework, system and functional test suites and contribute to Database platform development.
- Test the product for performance, resiliency, security, scalability, and reliability.
- Fix defects identified via testing in Database platform.
- Understand the end-to-end configuration, technical dependencies, code paths, and overall behavioural characteristics of the products you test.
- Analyze and understand existing test coverage and test cases, identifying opportunities for redesign, replacement, reusability, and improvement in efficiency and performance.
- Define and inspire changes to our product with our development engineering team based on feedback from tests and customer issues.
- Develop and contribute to internal and external knowledge bases.Be a champion for our customers.
- Go above and beyond to ensure customers are getting the most out of their investment in the Yugabyte platform.
You'll Need:
- Strong programming skills (C++, Java, Python and UI automation tools) and experience in developing automation frameworks and testing tools.
- Working knowledge of SQL and/or CQL.
- Professional experience in Databases and/or Distributed Systems.
- Customer Obsession – you are passionate about delivering a high-quality product.
- You judge our own success by the success of the team and the happiness of our customers.
- Excellent written and verbal communication skills – you’re able to work with a wide variety of people and collaborate with geographically distributed teams and effectively communicating everything from data points to critical feedback.
- Entrepreneurial spirit and are not afraid to take on new challenges.
- 5+ years of relevant work experience with BS in CS or equivalent technical degree.
Nice to have
- Experience working in a continuous integration / continuous delivery development environment.
- Have expertise with automation and build tools such as Selenium, jMeter, and Jenkins.
- Thrive on working on open source technologies.