11+ RAN Jobs in Bangalore (Bengaluru) | RAN Job openings in Bangalore (Bengaluru)

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  

Job Summary:

As an AI Developer, you will build the AI-powered components of our solutions — LLM-based extraction, classification, summarisation, NLP, OCR pipelines, RAG patterns, and intelligent automation. You will

partner with the Business Analyst(s) to deeply understand the business problem, with the AI Architect to align on the technical design and reusable framework, and with our Automation Developers to integrate

your AI components into orchestration engines, configurable web interfaces, and end-to-end automated workflows.

Responsibilities:

• Partner with the Business Analyst from the earliest stages of every engagement to understand the business problem, the data flow, the upstream triggers, and the downstream consequences before writing a single line of code.
• Work with the AI Architect to align on the solution design, the reusable framework to be extended, the cloud-native architecture, and the LLM/NLP/OCR approach for each engagement.
• Develop AI-powered components for solutions across Finance & Accounting use cases — invoice and document extraction, contract abstraction, anomaly detection, classification, summarization, conversational interfaces, RAG-based knowledge retrieval and many more.
• Build cloud-native solutions on Microsoft Azure — leveraging Azure OpenAI, Azure AI Services (Document Intelligence, Vision, Language), Azure Functions, Azure Storage, Azure SQL, Service Bus, and Azure API Management — ensuring every solution is scalable and secure by design. You will use Claude and Microsoft 365 ecosystem also depending on the business requirements.
• Implement enterprise-grade logging across every system and user activity, so that every action in production is traceable, observable, and auditable.
• Build solutions that are highly configurable — no static or hard-coded values — with parameters such as processing volume, run schedule, batch size, model temperature, confidence thresholds, and human-in-the-loop split exposed for end-user control.
• Develop and continuously improve a library of reusable LLM components — prompt templates, RAG patterns, document chunking, evaluation harnesses, guardrails, and output parsers — so that no new AI module is written from scratch when an existing one can be extended.
• Collaborate with Automation Developers to ensure every AI solution plugs cleanly into the COE’s orchestration engine, the configurable web interface that shows real-time progress to end users, and the broader automation flow.
• Treat every business problem as an opportunity to ask whether the underlying process can be improved before reaching for an AI hammer — and raise this constructively with the Business Analyst, AI Architect, and stakeholders when you see it.
• Implement responsible AI practices — prompt injection defence, output validation, hallucination grounding, PII handling, content filters, and access controls — because we work with sensitive financial and contractual data.
• Build evaluation harnesses and test sets for every AI component you ship — measuring accuracy, precision, recall, latency, cost, and drift over time.
• Write clean, well-documented, and well-tested code in Python and / or .NET / C#, with appropriate unit tests, integration tests, and CI/CD pipelines on Azure DevOps.
• Support UAT and production cutover alongside the Business Analyst and Automation Developers, debug production issues quickly, and contribute to post-go-live hypercare

Must Have Skills:

• 5 to 10 years of overall software development experience, with a meaningful portion of the last
• 2–3 years dedicated to building production AI / GenAI / NLP / OCR solutions.
• Hands-on production experience with Large Language Model APIs — Anthropic Claude, OpenAI /
• Azure OpenAI, or equivalent — including prompt engineering, structured output extraction, function / tool calling, and streaming.
• Working experience with Retrieval-Augmented Generation (RAG) patterns — embeddings, vector stores (Azure AI Search, Pinecone, FAISS, or equivalent), chunking strategies, hybrid search, and retrieval evaluation.
• Hands-on experience with at least one OCR / Document Intelligence platform — Azure AI Document Intelligence (Form Recognizer), AWS Textract, Google Document AI, or equivalent — including post-OCR LLM-based extraction and validation.
• Strong programming skills in Python and / or .NET / C#, with practical experience writing production-grade, maintainable, well-tested code.
• Hands-on experience building cloud-native applications on Microsoft Azure — Azure Functions, AKS, Azure Storage, Azure SQL, Cosmos DB, Service Bus, Event Grid, Azure API Management — with a strong appreciation for scalability and security.
• Working understanding of microservice architecture, RESTful APIs, asynchronous messaging, and event-driven patterns.
• Demonstrable experience implementing structured logging, observability, and monitoring — Azure Monitor, Application Insights, Log Analytics, or equivalent — in production systems.
• Experience designing and implementing configurable systems — externalized configuration, feature flags, parameterised workflows — so end users can adjust operational metrics without a developer touching code.
• Experience integrating AI components into orchestration engines and workflow platforms (e.g. Azure Logic Apps, Durable Functions, Power Automate, Camunda, Airflow, or RPA platforms such as UiPath / Power Automate Desktop / Blue Prism).
• Comfort building or contributing to web interfaces (React, Blazor, or equivalent) that display progress, exceptions, and end-user controls in real time. This is not a mandatory requirement but will be an advantage.
• Strong understanding of responsible AI — prompt injection, hallucination, grounding, PII handling, evaluation, and guardrails — with a track record of applying these in production code.
• Experience with CI/CD on Azure DevOps or GitHub Actions, Git-based workflows, and basic DevOps / MLOps / LLMOps practices.
• Working knowledge of Agile / Scrum delivery.

Good to Have Skills:

• Exposure to or genuine interest in Finance & Accounting business processes is a strong plus. Prior experience in real estate, fintech, banking, shared services, or finance transformation.
• Certifications such as Microsoft Certified: Azure AI Engineer Associate, Azure Developer Associate, or equivalent.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.

Why choose us?

Bits in Glass is a leading software consulting firm specializing in innovative data solutions and enterprise applications.

• Industry Leader:

1. Bits in Glass(BIG) has been in business for more than 20 years. In 2021 Bits in Glass joined hands with Crochet Technologies, forming a larger organization under the Bits In Glass brand to better serve customers across the globe.
2. Offices across three locations in India: Pune, Hyderabad & Chandigarh.
3. Specialized Pega partner since 2017, delivering Pega solutions with deep industry expertise and experience.
4. Proudly ranked among the top 30 Pega partners, Bits In Glass has been one of the very few sponsors of the annual PegaWorld event.
5. Elite Appian partner since 2008, delivering Appian solutions with deep industry expertise and experience.
6. Operating in the United States, Canada, United Kingdom, and India.
7. Dedicated global Pega CoE to support our customers and internal dev teams.
8. Specializes in Databricks, AI, and cloud-based data engineering to help companies transition from manual to automated workflows.

• Employee Benefits:

1. Career Growth: Opportunities for career advancement and professional development.
2. Challenging Projects: Work on innovative, cutting-edge projects that make a global impact.
3. Global Exposure: Collaborate with international teams and clients to broaden your professional network.
4. Flexible Work Arrangements: Support for work-life balance through flexible working conditions.
5. Comprehensive Benefits: Competitive compensation packages and comprehensive benefits including health insurance, and paid time off.
6. Learning Opportunities- Great opportunity to upskill yourself and work on new technologies like AI-enabled Pega solutions, Data engineering, Integration, cloud migration etc.

• Company Culture:

1. Collaborative Environment: Emphasizes teamwork, innovation, and knowledge sharing.
2. Inclusive Workplace: Values diversity and fosters an inclusive environment where all ideas are respected.
3. Continuous Learning: Encourages professional development through ongoing learning opportunities and certifications.

• Core Values:

1. Integrity: Commitment to ethical practices and transparency in all business dealings.
2. Excellence: Strive for the highest standards in everything we do.
3. Client-Centric Approach:

Skills and competencies:

Required:

·        Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance

Data and macro-economic data to solve business problems.

·        Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in

Credit Risk/Banking

·        Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.

• Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
• Experience in systems integration, web services, batch processing
• Experience in migrating codes to PySpark/Scala is big Plus
• The ability to act as liaison conveying information needs of the business to IT and data constraints to the business

applies equal conveyance regarding business strategy and IT strategy, business processes and work flow

·        Flexibility in approach and thought process

·        Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED

Exp. - must be 8-12 yrs

Location - Bangalore/Mumbai

• Experience in Core Java 5.0 and above, CXF, Spring.

• 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 have the ability to analyze, design, develop and test complex, low-latency client-facing applications.

• Good Experience into Microservices , Data structures , Oops , Algorithms, multithreading etc

• Good development experience with RDBMS, preferably Sybase database.

• Good knowledge of multi-threading and high-volume server-side development.

• Experience in sales and trading platforms in investment banking/capital markets.

• Basic working knowledge of Unix/Linux.

• Experience into High /Low level designing.

• Excellent problem solving and coding skills in Java.

• Strong interpersonal, communication and analytical skills.

• Should have the ability to express their design ideas and thoughts.

Responsibilities : 

• Work with development teams and product managers to ideate software solutions. 
• Develop and maintain scalable software solutions with Ruby on Rails as the core technology stack.
• Develop strong analytical and problem-solving skills to tackle challenges in development. 
• Utilize Docker containers for efficient environment management and deployment.
• Test software to ensure responsiveness and efficiency. 
• Implement and maintain database solutions in MySQL and PostgreSQL
• Test and ensure that the application works correctly across different browsers and devices. 
• Build and optimize user interfaces using React.js with a focus on performance and user experience.
• Integrate multiple data sources and databases into one system
• Ensure robustness, performance, and security of the applications.
• Take full responsibility for project deliverables from conception to deployment.
• Design user-side and server-side architecture. 
• Maintain code integrity and organization, including performing code reviews and enhancing code quality.

Requirements :

• Demonstrable skills with Node.js and React.js, building and maintaining complex solutions.
• Experience with Docker and containerized environments.
• Strong knowledge of MySQL and/or PostgreSQL.
• Excellent debugging and problem-solving skills.
• Capacity to work effectively both as an individual contributor and within a collaborative team environment.
• Eagerness to take full ownership of deliverables, ensuring high-quality outputs.
• Great attention to detail Organizational skills. 

Qualifications : 

• Internship or 6 months experience as a full stack developer working with ruby on rails.
• Experience developing and deploying dynamic and responsive web applications.
• Strong communication skills, detail-oriented mindset, and a passion for delivering high-quality software. 
• A bright and passionate mind with relevant prior experience in web development (frontend, backend and database management) is welcome to apply. 
• Ability to thrive in a fast-paced work environment, adapting to varying demands with resilience.

Elastic is a search company built on a free and open heritage. Anyone can use Elastic products and solutions to get started quickly and frictionlessly. Elastic offers three solutions for enterprise search, observability, and security, built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real time and at scale. Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe and is publicly traded on the NYSE under the symbol ESTC. Learn more at https://www.elastic.co/">elastic.co.

The Observability team is in charge of developing solutions that focus on application developers and engineers that run infrastructure and services supporting these applications. Elasticsearch is an efficient datastore for logs, metrics, and application traces, supporting the three pillars of observability. The Observability team builds and maintains solutions that make getting insights from this data turnkey and efficient, such as our https://www.elastic.co/solutions/apm">APM, https://www.elastic.co/solutions/metrics">Infrastructure Monitoring, and https://www.elastic.co/uptime-monitoring">Synthetics solutions. When developing these solutions, we think about the problem end-to-end: how do we automatically collect data from common data sources, how do we store it efficiently in Elasticsearch, how do we present this information to the user, what actions do we take on the insights from the data? All of these aspects are important in bringing a turnkey solution to the market. 

You will be working on Observability Integrations to collect logs and metrics from all the systems that matter to our users, using the current and next generation of data shippers: Beats and the new Elastic Agent.

Job Location : Bangalore, India

• Work with product management to define the requirements for new https://github.com/elastic/integrations">integrations: data collection strategies, storage optimization, alerting and visualization options, refining requirements, translating requirements to stories and epics, and performing detailed scoping of features
• Develop, maintain and evolve https://github.com/elastic/integrations">integrations for multiple services using the Elastic Stack and https://github.com/elastic/elastic-package">specific tooling. For some projects, contributions to the https://github.com/elastic/beats">beats platform will be needed (Go).
• Work with our support team to help customers troubleshoot and solve their issues in production environments, ensuring SLAs are met.
• Interact with the community and help them use our products.
• Collaborate with other engineering, QA and documentation teams to execute on product deliverables.

• Experience operating or developing monitoring products, such as Elastic (ELK, Elastic Observability),  Prometheus, Grafana, ELK, Datadog, New Relic, etc.
• Proficiency in at least one programming language (Go, Java, PHP, Python, Ruby, C++,  we use Go) with strong analytical, debugging, and troubleshooting skills.
• Excellent verbal and written communication skills and ability to work in a distributed team.
• Experience participating in technical decision-making across different engineering teams.

• Interest in learning new technologies.
• Experience contributing to open source projects.
• Hands-on experience managing cloud services at scale.
• Experience in SRE and / or DevOps roles.
• Experience monitoring or operating container orchestrators (Kubernetes, etc).

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Double your charitable giving - We match up to $1500 (or local currency equivalent)
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

• 4-15 year experience in Application Support
• Must have good knowledge in Java/J2EE, Microservices, PL/SQL, Unix
• Good to have knowledge in Agile, JIRA, Splunk, Service Now
• Good understanding and hands-on experience in Incident, Problem and Change Management
• Provide technical leadership to the team & contribute in the skill development within team
  Interact with internal teams and client stakeholders to trouble shoot the tickets/incident and manage other support activities
• Good communications skills are necessary, must be team player and inquisitive.
• Strong customer service and support focus with a desire to deliver a high-quality service
• Ability to multi-task, work under pressure and to tight deadlines
• Flexible in working outside of office business hours at short notice (as required)
• Should be able to examine the system and identify the areas for Service Improvements & Value adds.