11+ IP PBX Jobs in Bangalore (Bengaluru) | IP PBX Job openings in Bangalore (Bengaluru)

Job Description

Experience: 5 - 9 years

Location: Bangalore/Pune/Hyderabad

Work Mode: Hybrid(3 Days WFO)

Senior Cloud Infrastructure Engineer for Data Platform 

The ideal candidate will play a critical role in designing, implementing, and maintaining cloud infrastructure and CI/CD pipelines to support scalable, secure, and efficient data and analytics solutions. This role requires a strong understanding of cloud-native technologies, DevOps best practices, and hands-on experience with Azure and Databricks.

Key Responsibilities:

Cloud Infrastructure Design & Management

Architect, deploy, and manage scalable and secure cloud infrastructure on Microsoft Azure.

Implement best practices for Azure Resource Management, including resource groups, virtual networks, and storage accounts.

Optimize cloud costs and ensure high availability and disaster recovery for critical systems

Databricks Platform Management

Set up, configure, and maintain Databricks workspaces for data engineering, machine learning, and analytics workloads.

Automate cluster management, job scheduling, and monitoring within Databricks.

Collaborate with data teams to optimize Databricks performance and ensure seamless integration with Azure services.

CI/CD Pipeline Development

Design and implement CI/CD pipelines for deploying infrastructure, applications, and data workflows using tools like Azure DevOps, GitHub Actions, or similar.

Automate testing, deployment, and monitoring processes to ensure rapid and reliable delivery of updates.

Monitoring & Incident Management

Implement monitoring and alerting solutions using tools like Dynatrace, Azure Monitor, Log Analytics, and Databricks metrics.

Troubleshoot and resolve infrastructure and application issues, ensuring minimal downtime.

Security & Compliance

Enforce security best practices, including identity and access management (IAM), encryption, and network security.

Ensure compliance with organizational and regulatory standards for data protection and cloud operations.

Collaboration & Documentation

Work closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to align infrastructure with business needs.

Maintain comprehensive documentation for infrastructure, processes, and configurations.

Required Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

Must Have Experience:

6+ years of experience in DevOps or Cloud Engineering roles.

Proven expertise in Microsoft Azure services, including Azure Data Lake, Azure Databricks, Azure Data Factory (ADF), Azure Functions, Azure Kubernetes Service (AKS), and Azure Active Directory.

Hands-on experience with Databricks for data engineering and analytics.

Technical Skills:

Proficiency in Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.

Strong scripting skills in Python, or Bash.

Experience with containerization and orchestration tools like Docker and Kubernetes.

Familiarity with version control systems (e.g., Git) and CI/CD tools (e.g., Azure DevOps, GitHub Actions).

Soft Skills:

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities.

Profile: Big Data Engineer (System Design)

Experience: 5+ years

Location: Bangalore

Work Mode: Hybrid

About the Role

We're looking for an experienced Big Data Engineer with system design expertise to architect and build scalable data pipelines and optimize big data solutions.

Key Responsibilities

• Design, develop, and maintain data pipelines and ETL processes using Python, Hive, and Spark
• Architect scalable big data solutions with strong system design principles
• Build and optimize workflows using Apache Airflow
• Implement data modeling, integration, and warehousing solutions
• Collaborate with cross-functional teams to deliver data solutions

Must-Have Skills

• 5+ years as a Data Engineer with Python, Hive, and Spark
• Strong hands-on experience with Java
• Advanced SQL and Hadoop experience
• Expertise in Apache Airflow
• Strong understanding of data modeling, integration, and warehousing
• Experience with relational databases (PostgreSQL, MySQL)
• System design knowledge
• Excellent problem-solving and communication skills

Good to Have

• Docker and containerization experience
• Knowledge of Apache Beam, Apache Flink, or similar frameworks
• Cloud platform experience.

Location: Hybrid/ Remote

Type: Contract / Full‑Time

Experience: 5+ Years

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

Responsibilities:

• Architect & implement the RAG pipeline: embeddings ingestion, vector search (MongoDB Atlas or similar), and context-aware chat generation.
• Design and build Python‑based services (FastAPI) for generating and updating embeddings.
• Host and apply LoRA/QLoRA adapters for per‑user fine‑tuning.
• Automate data pipelines to ingest daily user logs, chunk text, and upsert embeddings into the vector store.
• Develop Node.js/Express APIs that orchestrate embedding, retrieval, and LLM inference for real‑time chat.
• Manage vector index lifecycle and similarity metrics (cosine/dot‑product).
• Deploy and optimize on AWS (Lambda, EC2, SageMaker), containerization (Docker), and monitoring for latency, costs, and error rates.
• Collaborate with frontend engineers to define API contracts and demo endpoints.
• Document architecture diagrams, API specifications, and runbooks for future team onboarding.

Required Skills

• Strong Python expertise (FastAPI, async programming).
• Proficiency with Node.js and Express for API development.
• Experience with vector databases (MongoDB Atlas Vector Search, Pinecone, Weaviate) and similarity search.
• Familiarity with OpenAI’s APIs (embeddings, chat completions).
• Hands‑on with parameters‑efficient fine‑tuning (LoRA, QLoRA, PEFT/Hugging Face).
• Knowledge of LLM hosting best practices on AWS (EC2, Lambda, SageMaker).

Containerization skills (Docker):

• Good understanding of RAG architectures, prompt design, and memory management.
• Strong Git workflow and collaborative development practices (GitHub, CI/CD).

Nice‑to‑Have:

• Experience with Llama family models or other open‑source LLMs.
• Familiarity with MongoDB Atlas free tier and cluster management.
• Background in data engineering for streaming or batch processing.
• Knowledge of monitoring & observability tools (Prometheus, Grafana, CloudWatch).
• Frontend skills in React to prototype demo UIs.

About Company:

Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. 

Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems. 

At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged.

We invite you to push your boundaries and join us in fulfilling your career aspirations!

What You Can Expect from Us:

Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers.  You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let’s make your career great!

Responsibilities:

• Create, deploy, monitor, and maintain high performance and scalable microservices in the production.
• Design/develop Restful Services, data analysis, troubleshoot and resolve complex issues.
• Take end to end ownership for complex technical projects from planning through execution.
• Build, optimize, and manage ad solution Platform for the enterprise level. 
• Perform code review and manage technical debt
• Handle release deployments and production issues

Required Skills: 

• Overall 8+ years of experience in application development using Java with creating and deploying microservices using the Spring Boot framework.
• Strong experience in Maven.
• Good experience in unit(Junit) and integration testing.
• Experience in Microservices is a must.
• Experience in designing and developing REST based services / Microservice development.
• Experience with delivering projects in an agile environment using SCRUM methodologies.
• Candidate should have good communication skills (written and verbal)
• Excellent analytical and problem solving skills
• Any one of these database Mongo, Maria, RMQ, Postgres, or other NoSQL servers
• Experience in AWS and CI/CD

Good to have:

• Experience using container management tools such as Kubernetes, Docker and Rancher.

We are an IT recruitment service provider based out of Gurgaon. We are partners with various established names like Wipro, Aon, Infinite Computer Solutions, IBM, TCS, Fiserv, Accenture, and many more.

As discussed, Please find the Job Description for the position of Salesforce Project Manager. 

JD for Salesforce Tech Lead 

Exp level: 7+ yrs.

Location: Pune, Bangalore, Hyderabad, Chennai, Jaipur

NP: Immediate to 15 days

Skills :

Salesforce developer, LWC, Rest API, Lead experience

Role: Project Manager

Experience: 6+years

Education Qualification: Graduate/Postgraduate

Responsibilities:

• Manage technical aspects of projects, including planning, execution, and delivery

• Translate product strategy into detailed requirements for prototype construction and final product development

• Create Functional and Technical specification documents, translate application storyboards and use cases into functional applications

• Track project progress, identify and mitigate risks, and ensure project deliverables are completed on time and within budget

• Delivering new Bodhee features using AGILE delivery programs

• Ensure project quality and adherence to industry standards and best practices

• To act as a single point of contact from the team to Bodhee Stakeholders

• Identify and implement process improvements to increase efficiency and reduce costs

• Promote teamwork, motivate, mentor and develop subordinates

• Manage and take ownership of product including defining scope and developing requirements for product launch

Requirements

• Overall 6+ years’ experience with 3+ years of experience as Project Manager for any development projects and hands-on technical experience

• Proven experience as a technical project manager, with a track record of delivering projects on time and within budget

• Experience with agile software development methodologies.

• Strong experience with Java and UI design and development

• Strong experience leading development teams utilizing Java and UI technologies.

• Working experience with Data Analytics products is a plus

• Strong understanding of RDBMS and working experience with SQL

• Experience with developing Micro-services Based applications

• Excellent problem solving and analytical skills

• Excellent communication skills

Intro

Our data and risk team is the core pillar of our business that harnesses alternative data sources to guide the decisions we make at Rely. The team designs, architects, as well as develop and maintain a scalable data platform the powers our machine learning models. Be part of a team that will help millions of consumers across Asia, to be effortlessly in control of their spending and make better decisions.

What will you do
The data engineer is focused on making data correct and accessible, and building scalable systems to access/process it. Another major responsibility is helping AI/ML Engineers write better code.

• Optimize and automate ingestion processes for a variety of data sources such as: click stream, transactional and many other sources.

• Create and maintain optimal data pipeline architecture and ETL processes
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Develop data pipeline and infrastructure to support real-time decisions
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data' technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  
  

What will you need
• 2+ hands-on experience building and implementation of large scale production pipeline and Data Warehouse
• Experience dealing with large scale

• Proficiency in writing and debugging complex SQLs
• Experience working with AWS big data tools
  • Ability to lead the project and implement best data practises and technology

Data Pipelining

• Strong command in building & optimizing data pipelines, architectures and data sets
• Strong command on relational SQL & noSQL databases including Postgres
• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

Big Data: Strong experience in big data tools & applications

• Tools: Hadoop, Spark, HDFS etc
• AWS cloud services: EC2, EMR, RDS, Redshift
• Stream-processing systems: Storm, Spark-Streaming, Flink etc.
• Message queuing: RabbitMQ, Spark etc
  
  

Software Development & Debugging

• Strong experience in object-oriented programming/object function scripting languages: Python, Java, C++, Scala, etc
• Strong hold on data structures & algorithms

What would be a bonus

• Prior experience working in a fast-growth Startup
• Prior experience in the payments, fraud, lending, advertising companies dealing with large scale data