11+ RAN Jobs in Bangalore (Bengaluru) | RAN Job openings in Bangalore (Bengaluru)
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Mandatory Skills
- Proficient in automating Test cases using Python / C++
- Should have work on RAN or Core Network on LTE / 4G, 5G , 3G
- Should have done Protocol Conformance Testing / RF Conformance Testing / Carrier Acceptance Testing
- Should be able design test cases.
- Should have worked on protocols / network element like NAS/SIAP / RRC / PHY MAC / GCF / MME / SGW / PGW / PCRG / eNodeB / UTRAN / RACH
Good to Have
- Test automation framework & test suite development using Python or platform specific development expertise
- Experience in 5G will be an added advantage
- Interop testing and validation with chipset vendors / OEMs / Service Providers
What kind of profile will not be suitable
- Only RF Optimization
- Only Field Testing
- Only Log Analysis
- Network Monitoring & configuration
Wissen Technology is now hiring for a Java Developer
Location : Bangalore (The candidate must be based in Bangalore, as an in-person interview is a mandatory part of the selection process)
Notice Period: Immediate to Serving Notice Period & Up to 30 Days max
Skills: Hands-on experience in Core Java, Spring Boot, Microservices, Algorithms, Data Structure and SQL
Note: Bachelor's or Master's degree from a top-tier college or university is must.
Key Responsibilities:
- Design, develop, and test low-latency, high-volume client-facing applications.
- Develop and maintain enterprise-scale, n-tier applications for the investment banking/capital markets domain.
- Implement microservices-based solutions using Spring Boot and other modern frameworks.
- Work extensively with Core Java 5.0 and above, Spring Framework, and CXF
- Optimize applications for multi-threading and high-performance server-side development
- Collaborate with cross-functional teams to design and implement scalable, secure, and efficient solutions
- Work with RDBMS (preferably Sybase) to handle large-scale data processing.
- Develop and maintain applications on Unix/Linux environments
- Utilize enterprise application design patterns to build robust and scalable solutions.
- Troubleshoot and resolve complex technical issues while ensuring application stability and performance.
Required Skills & Experience:
- 1 to 6 years of hands-on experience in Java development
- Strong knowledge of microservices architecture and cloud-based deployment.
- Expertise in Spring Framework, Spring Boot, and CXF
- Experience in developing and optimizing applications for high-volume, multi-threaded environments
- Solid understanding of financial domain applications, sales, and trading platforms
- Proficiency in working with relational databases (Sybase preferred)
- Familiarity with Unix/Linux environments and shell scripting.
- Strong analytical, problem-solving, and communication skills.
- Ability to articulate and present design ideas effectively.
- Education: Bachelor's or Master's degree from a top-tier college or university is must.

Job Summary:
We are looking for a motivated and detail-oriented Data Engineer with 1–2 years of experience to join our data engineering team. The ideal candidate should have solid foundational skills in SQL and Python, along with exposure to building or maintaining data pipelines. You’ll play a key role in helping to ingest, process, and transform data to support various business and analytical needs.
Key Responsibilities:
- Assist in the design, development, and maintenance of scalable and efficient data pipelines.
- Write clean, maintainable, and performance-optimized SQL queries.
- Develop data transformation scripts and automation using Python.
- Support data ingestion processes from various internal and external sources.
- Monitor data pipeline performance and help troubleshoot issues.
- Collaborate with data analysts, data scientists, and other engineers to ensure data quality and consistency.
- Work with cloud-based data solutions and tools (e.g., AWS, Azure, GCP – as applicable).
- Document technical processes and pipeline architecture.
Core Skills Required:
- Proficiency in SQL (data querying, joins, aggregations, performance tuning).
- Experience with Python, especially in the context of data manipulation (e.g., pandas, NumPy).
- Exposure to ETL/ELT pipelines and data workflow orchestration tools (e.g., Airflow, Prefect, Luigi – preferred).
- Understanding of relational databases and data warehouse concepts.
- Familiarity with version control systems like Git.
Preferred Qualifications:
- Experience with cloud data services (AWS S3, Redshift, Azure Data Lake, etc.)
- Familiarity with data modeling and data integration concepts.
- Basic knowledge of CI/CD practices for data pipelines.
- Bachelor’s degree in Computer Science, Engineering, or related field.


Job Description: We are seeking a talented Java Full Stack Developer to join our team.
We are solving complex technical problems in the financial industry and need talented software engineers to join our mission and be a part of a global software development team. As a Java Full Stack Developer, you will be responsible for designing, developing, and maintaining enterprise applications using Java and Angular.
You will collaborate with cross-functional teams to define, design, and ship new features, and you will work closely with Architects to ensure the technical feasibility of designs and implement them accordingly.
Required Skills:
- Exp. - 5 to 9 years.
- Experience in Core Java 8 and above, Spring (including Core, WebMvc, Batch, Cloud etc).
- Extensive experience in developing enterprise-scale n-tier applications for financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns.
- Should be able to analyze, design, develop and test complex, low-latency client-facing applications.
- Develop user interfaces for modern web applications using Angular.
- Experience with HTML5, CSS3, and JavaScript.
- Good development experience with RDBMS, preferably DB2/Sybase databases.
- Good knowledge of multi-threading and high-volume server-side development.
- Basic working knowledge of Unix/Linux.
- Excellent problem solving and coding skills in Java.
- Strong interpersonal, communication and analytical skills.
- Should be able to express their design ideas and thoughts.
Good to have Skills:
- Prior experience in investment banking / capital markets.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Knowledge of DevOps practices and CI/CD pipelines.
- Familiarity with Agile methodologies.
- Contributions to open-source projects.
- Relevant certifications (e.g., Angular, Java).
InfoGrowth is seeking a highly skilled PSUMS Developer with expertise in web application development to join our team. If you have a passion for creating innovative, scalable, and responsive solutions tailored for connected services in EV vehicles, we want to hear from you!
Key Responsibilities:
- Design and develop scalable web applications for connected services in EV vehicles using Vue.js and modern web technologies.
- Utilize HTML5, CSS, and TypeScript to build and maintain responsive web portals.
- Implement and maintain API integrations using RESTful services.
- Collaborate with cross-functional teams to define architecture for long-term solutions in connected vehicle services.
- Ensure development aligns with best practices including CI/CD, Test-Driven Development (TDD), and Agile methodologies.
- Use testing tools such as Selenium, Cypress, or Jest to maintain high-quality standards.
- Communicate and collaborate effectively within a multidisciplinary team to align project goals.
- Create and maintain technical documentation for software and processes.
Requirements:
- Bachelor’s degree in Computer Science or a related field.
- 7+ years of experience in web development with strong proficiency in JavaScript and the Vue.js framework.
- Hands-on experience with HTML5, CSS, and TypeScript.
- Knowledge and experience with API integration and RESTful services.
- Proficient in testing methodologies and tools like Selenium, Cypress, or Jest.
- Strong understanding of version control systems like Git.
- Excellent communication skills in English.
- Basics of Networking, TCP/IP Networks, Multi-Vendor Support Experience (Cisco/HPE/Juniper/Checkpoint/ASA/Fortinet etc)
- Basics of Compute,
- Basics of Storage
- Strong experience towards monitoring devices such as server hardware, Network
- Strong understanding of IT service management
- Interacting with clients, understanding their needs & providing technical support to clients by remotely accessing their networks & troubleshooting the issues raised
- Experience working in a NOC environment managing and implementing day to day operations on network and security issues for large scale enterprise customers
- Switching Concepts and Experience including STP’s, Vlan’s, VTP, EtherChannel, Port Config, Hardening, Management Protocols, Stacking etc
- Wireless Configuration Experience with Cisco/HPE/ARUBA Controllers and AP’s
- Experience with Network systems and servers, networking systems integration (hardware, software, network, and database).

- Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
- Thorough understanding of React.js and its core principles
- Prior experience with popular React.js workflows (such as Flux or Redux)
- Familiarity with more current specifications of EcmaScript
- Prior experience with data structure libraries (e.g., Immutable.js)
- Knowledge of isomorphic React is a plus
- Familiarity with RESTful APIs
- Familiarity with HTML / CSS
- GIT experience is a plus
- Knowledge of modern authorization mechanisms, such as JSON Web Token
- Familiarity with modern front-end build pipelines and tools
- Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
- Ability to understand business requirements and translate them into technical requirements
- A knack for benchmarking and optimization
- Familiarity with code versioning tools


Job Description :
Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analyzing company data. The ideal candidate is adept at using 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 strong experience 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 have a proven ability to drive business results with their data-based insights. 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.
Accountabilities :
- Collaborate with product management and engineering departments to understand company needs and devise possible solutions
- Keep up-to-date with latest technology trends
- Communicate results and ideas to key decision makers
- Implement new statistical or other mathematical methodologies as needed for specific models or analysis
- Optimize joint development efforts through appropriate database use and project design
Skills & Requirements :
Technical Skills :
- Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
- Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
- End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
- Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
- Demonstrated skill in modeling techniques, including but not limited to Predictive modeling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
- Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
- Developing hypotheses and set up your own problem frameworks to test for the best solutions
- Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
- Generating insights for a business context
Desirable :
- Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
- Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
- Experience to work in Agile and DevOps processes.
Core Skills :
- Bachelor or master degree in information technology, computer science, business administration or a related discipline.
- Certified in Agile Product Owner / SCRUM master and/or other Agile techniques
Leadership Skills :
- Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
- Ability to self-start and direct efforts based on high-level business objectives
- Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
- Strong interpersonal, communication, facilitation and presentation skills.
- Work through complex interfaces across organizational and geographic boundaries
- Excellent analytical, planning and problem solving skills
Job Experience Requirements :
- Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Life cycle and execute end-to-end Data Science project
- Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
- Keep customers as focus of analysis insight and recommendation.
- Help define business objectives/customer needs by capturing the right requirements from the right customers.
- Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
- Can identify unstructured problems and articulate opportunities to form new analytics project ideas
- Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
- Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
- Execute hypothesis-driven analysis to address business questions issues and opportunities
- Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
- Are familiar working within Agile Project Management methodologies / structures
- Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
- Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
- Analyze results using statistical methods to make recommendations to improve customer experience and business results
●Work closely with Principal Engineers to design, implement and deploy applications that impact
Rupeek’s business with an emphasis on Mobile, Payments, Core Platform and Analytics.
●Drive the architecture and design of large-scale, multi-tiered, distributed software applications, tools,
systems and services using object-oriented design, distributed programming, Java and C/C++.
●Gather business and functional requirements from external and/or internal customers and end-users,
and translate requirements into technical specifications to build robust, scalable, supportable solutions
that work well between a range of complex systems.
●Serve as technical lead throughout the full development lifecycle, end-to-end, from scoping, planning,
conception, design, implementation and testing, to documentation, delivery and maintenance.
●Provide design reviews for other engineers, including feedback on architecture and design issues, as
well as integration, performance and scalability.
●Manage engineers on multiple technical projects and ensure schedules, milestones, and priorities are
compatible with technology and business goals.