Business Development

Location: Hybrid/ Remote

Openings: 3

Experience: 2+ Years

Qualification: Bachelor’s or Master’s in Computer Science or a related technical field

Key responsibilities:

Automation & Frameworks

• Design, build, and maintain Test Automation frameworks using best practices.
• Continuously enhance test coverage and test efficiency through automation.

AI Awareness (Preferred)

• Familiarity with AI/ML-based testing tools or self-healing test automation frameworks is an added advantage.
• Explore ways to integrate AI-driven quality assurance into existing testing processes.

Collaboration & Reporting

• Work closely with developers, product managers, and architects in a fast-paced Agile environment.
• Report test results, risks, and improvement areas in a clear and timely manner.

Product Quality Assurance

• Test multiple products to identify deficiencies, defects, and usability gaps.
• Investigate product quality issues and drive continuous improvement in collaboration with engineering teams.

Release Readiness

• Run full regression test passes before each product release.
• Assist the team in making the go/no-go release decision based on test outcomes.

Required skills: 

• 2+ years of hands-on experience as a QA Engineer in a fast-paced, global environment
• Strong knowledge of various testing techniques – UI Testing, Automated Testing, Test-Driven Development (TDD) strategies
• Solid understanding of test methodologies (functional, non-functional, BDD)
• Expertise in end-to-end automation tools like Selenium, WebDriver, and Puppeteer for browser automation and UI testing
• Familiarity with JavaScript testing frameworks such as Jest, Mocha, Webpack (a plus)
• Basic coding knowledge in Java, HTML5, CSS3, DB2, XML is a plus
• Experience working with Agile/Scrum methodologies

Key Responsibilities:

• Design and develop cross-platform mobile apps using React Native
• Build reusable components and front-end libraries for future use
• Integrate RESTful APIs and third-party libraries
• Write clean, maintainable, and scalable code
• Ensure performance, quality, and responsiveness of applications
• Collaborate with backend developers to integrate APIs
• Debug and fix issues to improve application performance
• Publish apps to the Apple App Store and Google Play Store
• Stay up-to-date with new technologies and trends

Required Skills and Qualifications:

• 3+ years of professional experience in mobile application development
• Strong proficiency in React Native, JavaScript, and TypeScript
• Experience with state management tools like Redux / MobX / Context API
• Experience with RESTful APIs, third-party libraries, and services
• Knowledge of native build tools (Xcode, Android Studio)
• Familiarity with native modules, bridging, and performance optimization
• Experience in debugging and testing mobile applications
• Understanding of mobile UI/UX best practices
• Experience with Git version control

Dear Candidate,

We are urgently Hiring AWS Cloud Engineer for Bangalore Location.

Position: AWS Cloud Engineer

Location: Bangalore

Experience: 8-11 yrs

Skills: Aws Cloud

Salary: Best in Industry (20-25% Hike on the current ctc)

Note:

only Immediate to 15 days Joiners will be preferred.

Candidates from Tier 1 companies will only be shortlisted and selected

Candidates' NP more than 30 days will get rejected while screening.

Offer shoppers will be rejected.

Job description:

Description:

Title: AWS Cloud Engineer

Prefer BLR / HYD – else any location is fine

Work Mode: Hybrid – based on HR rule (currently 1 day per month)

Shift Timings 24 x 7 (Work in shifts on rotational basis)

Total Experience in Years- 8+ yrs, 5 yrs of relevant exp is required.

Must have- AWS platform, Terraform, Redshift / Snowflake, Python / Shell Scripting

Experience and Skills Requirements:

Experience:

8 years of experience in a technical role working with AWS

Mandatory

Technical troubleshooting and problem solving

AWS management of large-scale IaaS PaaS solutions

Cloud networking and security fundamentals

Experience using containerization in AWS

Working Data warehouse knowledge Redshift and Snowflake preferred

Working with IaC – Terraform and Cloud Formation

Working understanding of scripting languages including Python and Shell

Collaboration and communication skills

Highly adaptable to changes in a technical environment

Optional

Experience using monitoring and observer ability toolsets inc. Splunk, Datadog

Experience using Github Actions

Experience using AWS RDS/SQL based solutions

Experience working with streaming technologies inc. Kafka, Apache Flink

Experience working with a ETL environments

Experience working with a confluent cloud platform

Certifications:

Minimum

AWS Certified SysOps Administrator – Associate

AWS Certified DevOps Engineer - Professional

Preferred

AWS Certified Solutions Architect – Associate

Responsibilities:

Responsible for technical delivery of managed services across NTT Data customer account base. Working as part of a team providing a Shared Managed Service.

The following is a list of expected responsibilities:

To manage and support a customer’s AWS platform

To be technical hands on

Provide Incident and Problem management on the AWS IaaS and PaaS Platform

Involvement in the resolution or high priority Incidents and problems in an efficient and timely manner

Actively monitor an AWS platform for technical issues

To be involved in the resolution of technical incidents tickets

Assist in the root cause analysis of incidents

Assist with improving efficiency and processes within the team

Examining traces and logs

Working with third party suppliers and AWS to jointly resolve incidents

Good to have:

Confluent Cloud

Snowflake

Best Regards,

Minakshi Soni

Executive - Talent Acquisition (L2)

Rigel Networks

Worldwide Locations: USA | HK | IN 

LogiNext is looking for a technically savvy and passionate Senior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities :

Adapting and enhancing machine learning techniques based on physical intuition about the domain Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products Support and mentor data scientists Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive & Impala Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing) Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing) Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties

Requirements:

Bachelor’s or Master’s degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field. PhD preferred 4 to 7 years of experience in data mining, data modeling, and reporting 3+ years of experience working with large data sets or do large scale quantitative analysis Expert SQL scripting required Development experience in one of the following: Scala, Java, Python, Perl, PHP, C++ or C# Experience working with Hadoop, Pig/Hive, Spark, MapReduce Ability to drive projects Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo Analysis - Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization. Modeling - Should be familiar with ML concepts and algorithms; understanding of the internals and pros/cons of models is required. Strong algorithmic problem-solving skills Experience manipulating large data sets through statistical software (ex. R, SAS) or other methods Superior verbal, visual and written communication skills to educate and work with cross functional teams on controlled experiments Experimentation design or A/B testing experience is preferred. Experince in team management.