11+ Video codecs Jobs in Hyderabad | Video codecs Job openings in Hyderabad

About the job

Job Description

Managing a portfolio of SME clients, monitoring their insurance needs, and proactively engaging with them to ensure client satisfaction and retention. 

Developing and maintaining strong relationships with SME clients, understanding their business needs, and providing personalized service. 

Identifying and pursuing new business opportunities within the SME sector to grow the insurance company & client base and revenue. 

Ensuring smooth and efficient service delivery to SME clients, addressing their queries and concerns promptly.

Managing a portfolio of SME clients, monitoring their insurance needs, and proactively engaging with them to ensure client satisfaction and retention.

Selling insurance products and services to SMEs, as well as cross-selling other relevant financial products offered by the company 

Working with internal teams and customer service, to facilitate seamless service

delivery to SME clients. 

Skills And Qualifications

 Excellent communication, interpersonal, and negotiation skills.

 Proven track record of achieving sales targets and identifying new business opportunities.

 Understanding of various insurance products and policies relevant to SMEs.

 Providing customer service and building long-term relationships.

 Well Experienced & Familiarity with the unique needs and challenges of SME businesses.

 Bachelor’s Degree.

Company: 3i Infotech Ltd

Location: Mumbai / Hyderabad

Job type: Full Time, Work from office

Looking for Core Java, Micro services, Spring Boot, Hibernate, Angular

Open Positions: Java Full - Stack Developer || 3 to 6 years exp – (Full stack 8)

Immediate Joiners

CTC: - 10 LPA

JD for Java Developer

Must Have Skills : Core Java ,Microservices , Angular8, Spring boot framework

Minimum 4-8 years of experience in design, development, and deployment of JAVA/J2EE-based applications, writing PL/SQL queries/store procedures.

Strong hands-on experience in design, development, and deployment of J2EE based application database design, PL/SQL complex queries, and Store procedures XML, HTML, JavaScript, AJAX

• Expertise on XML, HTML, JavaScript, AJAX
• Proficient in handling and writing complex PL/SQL queries and Stored procedures
• preferable work experience on JBOSS as an application server or any other J2EE application server
• Should have sound knowledge in product customization, implementation, and maintenance aspects
• Foresighted & good judgment in problem-solving.
• Capable of paying attention to detail.
• Good analytical and logical thinking.
• Prioritizing and organizing
• Team Player with a positive attitude.
• Process knowledge/Technical expertise
• Good Written and Verbal communication Skills

Data Engineer  

Overview 

We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ML teams, you will transform raw operational data into high-quality, governed datasets that drive intelligent decision-making. 

Our core data platform stack includes: 

Data Platform & Lakehouse 

• Databricks as the single point of truth for all data
• Realtime Data Pipelines implemented using Kafka for data ingestion.
• Databricks SQL for analytical queries 
• Unity Catalog for metadata management and governance 
• Terradata for data warehouse and business intelligence.

Stream & Event Processing 

• Apache Kafka for real-time event ingestion 
• Structured Streaming for continuous data processing 
• Delta Live Tables for declarative, quality-enforced pipelines  

Data Quality 

• Delta Live Tables expectations for data validation 
• Data profiling and anomaly detection 

Key Responsibilities 

• Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake 
• Build real-time and batch data ingestion pipelines from diverse operational systems using high-performance Kafka data pipelines.
• Implement data transformations that serve digital twin platforms and operational analytics 
• Integrate Kafka event streams with Databricks for real-time operational state updates 
• Implement data quality checks using Delta Live Tables expectations 
• Ensure data governance compliance through Unity Catalog (lineage, access control, metadata) 
• Optimize pipeline performance, reliability, and cost efficiency 
• Write clean, well-documented, and testable code following engineering best practices 
• Collaborate with ML engineers to deliver feature-engineered datasets 
• Participate in code reviews, knowledge sharing, and continuous improvement initiatives 
• Support production data systems through monitoring, troubleshooting, and incident resolution.
• Build business data warehouse solutions using Terradata for business intelligence.

Preferred Qualifications 

• 7+ years of hands-on data engineering experience 
• Track record of building and maintaining production-grade data pipelines 
• Experience with Delta Live Tables for declarative pipeline development 
• Experience working in agile, cross-functional teams 
• Familiarity with time-series data patterns and operational data modelling 

Highly Desirable 

• Experience building data pipelines for digital twin or simulation platforms 
• Familiarity with operational state modeling for real-time systems 
• Exposure to physics-informed or time-series ML feature engineering 
• Experience working with distributed, multidisciplinary teams 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time

Job Title: Full Stack & Automation Engineer (FinTech Preferred)

Location: On-site | 6 Days/Week

Salary: ₹50,000 – ₹1,50,000/month (Based on experience)

About the Role:

Nova Orbit is looking for a highly capable technical operator who can build scalable systems, automate internal workflows, and strengthen backend infrastructure for a fast-growing finance and investment ecosystem focused on unlisted markets and institutional operations.

Key Responsibilities:

• Build and manage full stack applications for internal tools, dashboards, and business operations
• Design scalable backend architecture with strong system design, APIs, database, and security practices
• Deploy and manage cloud infrastructure across AWS / Azure
• Automate repetitive tasks across departments including operations, CRM, finance, reporting, and customer workflows
• Build workflow automation systems, integrations, bots, and process pipelines
• Improve efficiency by reducing manual processes through technology

Required Skills:

• Strong full stack development (Frontend + Backend)
• Deep backend architecture and system design expertise
• AWS / Azure cloud deployment and infrastructure management
• Proficiency in Python, Node.js, JavaScript/TypeScript, SQL
• API development, microservices, database optimization
• Automation tools like Zapier, n8n, Make, Power Automate, Selenium, or custom scripting
• Workflow design, process mapping, task automation, and RPA concepts
• DevOps, CI/CD pipelines, Docker, Git
• Strong analytical and problem-solving skills

Preferred:

• FinTech / BFSI experience (payments, investment platforms, compliance, CRM automation)
• Experience with internal business process automation across multiple departments

Ideal Candidate:

A systems-driven builder who can combine software engineering, backend scalability, cloud expertise, and workflow automation to optimize company-wide operations.

https://loopx.redstring.co.in/form/6a044e6103b64ed11120a12d

Role: Sr PostgreSQL Database Administrator (DBA)

Location: Hyderabad, India

Job description

We are looking for a highly capable PostgreSQL DBA who can take complete ownership of database operations in a high-volume, mission-critical environment. This role requires deep expertise in PostgreSQL internals, strong troubleshooting ability, and hands-on experience managing large-scale databases in cloud environments like AWS or Azure.

Responsibilities:

• Manage and maintain PostgreSQL databases across production, staging, and development environments
• Perform and manage logical and physical backups, restores, and recovery strategies
• Execute database upgrades (minor and major versions) with minimal downtime
• Design and manage replication setups, including streaming replication and point-in-time recovery (PITR)
• Troubleshoot performance issues including locks, blocking, long-running queries, and system load bottlenecks
• Tune and manage PostgreSQL configuration parameters and leverage system catalogs for deep analysis
• Perform routine maintenance tasks such as vacuuming, indexing, and database housekeeping
• Deploy and manage PostgreSQL in cloud environments like AWS (RDS/EC2) or Azure
• Implement and maintain high availability (HA) solutions using tools like Repmgr, Pgpool, or EFM
• Manage and optimize multi-terabyte databases ensuring performance and scalability
• Monitor database health and implement proactive measures to prevent outages
• Collaborate with engineering, DevOps, and product teams to support application performance
• Document processes, configurations, and recovery procedures

Requirements: 

• Strong knowledge of PostgreSQL architecture and internals
• Hands-on experience with backup/restore strategies, replication, and disaster recovery
• Proven experience in performance tuning and troubleshooting production issues
• Experience managing large-scale (multi-TB) PostgreSQL databases
• Solid understanding of PostgreSQL system catalogs and configuration tuning
• Experience with cloud-based PostgreSQL deployments (AWS or Azure)
• Hands-on experience with high availability and clustering tools (Repmgr / Pgpool / EFM)
• Strong Linux/Unix administration and scripting skills
• Ability to work independently and quickly learn new technologies
• Experience supporting high-volume, mission-critical production environments
• Strong communication and collaboration skills across cross-functional teams

We are seeking a Senior Data Scientist with hands-on experience in Generative AI (GenAI) and Large Language Models (LLM). The ideal candidate will have expertise in building, fine-tuning, and deploying LLMs, as well as managing the lifecycle of AI models through LLMOps practices. You will play a key role in driving AI innovation, developing advanced algorithms, and optimizing model performance for various business applications.

Key Responsibilities:

• Develop, fine-tune, and deploy Large Language Models (LLM) for various business use cases.
• Implement and manage the operationalization of LLMs using LLMOps best practices.
• Collaborate with cross-functional teams to integrate AI models into production environments.
• Optimize and troubleshoot model performance to ensure high accuracy and scalability.
• Stay updated with the latest advancements in Generative AI and LLM technologies.

Required Skills and Qualifications:

• Strong hands-on experience with Generative AI, LLMs, and NLP techniques.
• Proven expertise in LLMOps, including model deployment, monitoring, and maintenance.
• Proficiency in programming languages like Python and frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Solid understanding of AI/ML algorithms and model optimization.

Based on experience, developers will be involved in building different elements of an online music app. Urgent requirement, immediate hiring will be done.