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

1. The developer should be familiar with VCL
2. Must have knowledge of LiveBindings
3. Nice to know:
   1.  ADO
   2. BDE
   3. dbExpress
   4. DFS
   5. FastReport
   6. Gnostice
   7. Indy
   8. QuickReport
   9. Raize
   10. TntU
   11. icode
4. Familiar with GIT version control
5. Good communication skills

We are seeking a highly skilled Qt/QML Engineer to design and develop advanced GUIs for aerospace applications. The role requires working closely with system architects, avionics software engineers, and mission systems experts to create reliable, intuitive, and real-time UI for mission-critical systems such as UAV ground control stations, and cockpit displays.

Key Responsibilities

• Design, develop, and maintain high-performance UI applications using Qt/QML (Qt Quick, QML, C++).
• Translate system requirements into responsive, interactive, and user-friendly interfaces.
• Integrate UI components with real-time data streams from avionics systems, UAVs, or mission control software.
• Collaborate with aerospace engineers to ensure compliance with DO-178C, or MIL-STD guidelines where applicable.
• Optimise application performance for low-latency visualisation in mission-critical environments.
• Implement data visualisation (raster and vector maps, telemetry, flight parameters, mission planning overlays).
• Write clean, testable, and maintainable code while adhering to aerospace software standards.
• Work with cross-functional teams (system engineers, hardware engineers, test teams) to validate UI against operational requirements.
• Support debugging, simulation, and testing activities, including hardware-in-the-loop (HIL) setups.

Required Qualifications

• Bachelor’s / Master’s degree in Computer Science, Software Engineering, or related field.
• 1-3 years of experience in developing Qt/QML-based applications (Qt Quick, QML, Qt Widgets).
• Strong proficiency in C++ (11/14/17) and object-oriented programming.
• Experience integrating UI with real-time data sources (TCP/IP, UDP, serial, CAN, DDS, etc.).
• Knowledge of multithreading, performance optimisation, and memory management.
• Familiarity with aerospace/automotive domain software practices or mission-critical systems.
• Good understanding of UX principles for operator consoles and mission planning systems.
• Strong problem-solving, debugging, and communication skills.

Desirable Skills

• Experience with GIS/Mapping libraries (OpenSceneGraph, Cesium, Marble, etc.).
• Knowledge of OpenGL, Vulkan, or 3D visualisation frameworks.
• Exposure to DO-178C or aerospace software compliance.
• Familiarity with UAV ground control software (QGroundControl, Mission Planner, etc.) or similar mission systems.
• Experience with Linux and cross-platform development (Windows/Linux).
• Scripting knowledge in Python for tooling and automation.
• Background in defence, aerospace, automotive or embedded systems domain.

What We Offer

• Opportunity to work on cutting-edge aerospace and defence technologies.
• Collaborative and innovation-driven work culture.
• Exposure to real-world avionics and mission systems.
• Growth opportunities in autonomy, AI/ML for aerospace, and avionics UI systems.

The Assistant Professor in CSE will teach undergraduate and graduate courses, conduct independent and collaborative research, mentor students, and contribute to departmental and institutional service.

Criteria

Mandatory

Strong Dremio / Lakehouse Data Architect profile

Mandatory (Experience 1) – 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio

Mandatory (Experience 2) – Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems

Mandatory (Technical Skills 1) – Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts

Mandatory (Technical Skills 2) – Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)

Mandatory (Architecture) – Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics

Mandatory (Governance) – Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices

Mandatory (Stakeholder Management) – Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline

Mandatory (Company) – Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred

Drive the design, automation, and reliability of Albert Invent’s core platform to support scalable, high-performance AI applications.

You will partner closely with Product Engineering and SRE teams to ensure security, resiliency, and developer productivity while owning end-to-end service operability.

Key Responsibilities

• Own the design, reliability, and operability of Albert’s mission-critical platform.
• Work closely with Product Engineering and SRE to build scalable, secure, and high-performance services.
• Plan and deliver core platform capabilities that improve developer velocity, system resilience, and scalability.
• Maintain a deep understanding of microservices topology, dependencies, and behavior.
• Act as the technical authority for performance, reliability, and availability across services.
• Drive automation and orchestration across infrastructure and operations.
• Serve as the final escalation point for complex or undocumented production issues.
• Lead root-cause analysis, mitigation strategies, and long-term system improvements.
• Mentor engineers in building robust, automated, and production-grade systems.
• Champion best practices in SRE, reliability, and platform engineering.

Must-Have Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 4+ years of strong backend coding in Python or Node.js.
• 4+ years of overall software engineering experience, including 2+ years in an SRE / automation-focused role.
• Strong hands-on experience with Infrastructure as Code (Terraform preferred).
• Deep experience with AWS cloud infrastructure and distributed systems (microservices, APIs, service-to-service communication).
• Experience with observability systems – logs, metrics, and tracing.
• Experience using CI/CD pipelines (e.g., CircleCI).
• Performance testing experience using K6 or similar tools.
• Strong focus on automation, standards, and operational excellence.
• Experience building low-latency APIs (< 200ms response time).
• Ability to work in fast-paced, high-ownership environments.
• Proven ability to lead technically, mentor engineers, and influence engineering quality.

Good-to-Have Skills

• Kubernetes and container orchestration experience.
• Observability tools such as Prometheus, Grafana, OpenTelemetry, Datadog.
• Experience building Internal Developer Platforms (IDPs) or reusable engineering frameworks.
• Exposure to ML infrastructure or data engineering pipelines.
• Experience working in compliance-driven environments (SOC2, HIPAA, etc.).

Purpose of Job:

Responsible for drawing insights from many sources of data to answer important business
questions and help the organization make better use of data in their daily activities.

Job Responsibilities:

We are looking for a smart and experienced Data Engineer 1 who can work with a senior
manager to
⮚ Build DevOps solutions and CICD pipelines for code deployment
⮚ Build unit test cases for APIs and Code in Python
⮚ Manage AWS resources including EC2, RDS, Cloud Watch, Amazon Aurora etc.
⮚ Build and deliver high quality data architecture and pipelines to support business
and reporting needs
⮚ Deliver on data architecture projects and implementation of next generation BI
solutions
⮚ Interface with other teams to extract, transform, and load data from a wide variety
of data sources
Qualifications:
Education: MS/MTech/Btech graduates or equivalent with focus on data science and
quantitative fields (CS, Eng, Math, Eco)
Work Experience: Proven 1+ years of experience in data mining (SQL, ETL, data
warehouse, etc.) and using SQL databases

Skills
Technical Skills
⮚ Proficient in Python and SQL. Familiarity with statistics or analytical techniques
⮚ Data Warehousing Experience with Big Data Technologies (Hadoop, Hive,
Hbase, Pig, Spark, etc.)
⮚ Working knowledge of tools and utilities - AWS, DevOps with Git, Selenium,
Postman, Airflow, PySpark
Soft Skills
⮚ Deep Curiosity and Humility
⮚ Excellent storyteller and communicator
⮚ Design Thinking

Required Skills:

Qualification: PUC / Graduation

Experience: 0 – 3 Years

Shift: Day Shift ( 6 days Working ) 

Shift Timings: (10.00am to 6.30pm) 

Languages: English and Hindi + Any regional Language (Must)

Location: Banashankari 2nd Stage (Bangalore)

Immediate Joining - Only

Roles and Responsibilities:

1. Excellent Communication Skill in English.

2. Selling products and services using solid rebuttals to prospective customers.

3. Passionate for sales & high on energy level.

4. Enthusiastic & have zeal to perform

5. Should be comfortable for sales in voice process

About Company - 

They run a Programmatic-first, Full Funnel Growth Marketing Platform for Digital Marketers and Media Agencies globally.

We combine Machine Learning with Human Intelligence to discover unique audience insights and optimize results across the marketing funnel.

We leverage the power of programmatic media to help brands expand their targeted reach, and deliver non-linear growth by optimizing the marketing funnel for brand lift, search lift and incrementality.

Responsibilities-

1. Ability to translate client briefs into specific actionable items for different departments

2. Handling client engagements at the senior level with client team.

3. Articulate brand requirements and communicate the same to the teams internally

4. Handle the operational job requirements.

5. Should be able to minute meetings clearly

6. Follow up with internal teams for job delivery as per time lines committed

7. Should wear the brand hat and be able to disseminate information internally

8. Conduct market research and data to find out need gaps in the product.

9. Keep a track on competition activities.

10. Ensure all financials in terms of job estimation, billing and collection happens on time.

11. Be the brand custodian 

Requirement -

- Strong Experience in Client servicing and customer success

- Required skills - program management, presentation/communication, number crunching.

- Experience - 3-4 years in the digital media industry

- Not looking for folks with experience outside of the digital media industry

- Someone who have worked with solution providers or publishers managing clients

Reporting to our global VP of Commercial the Customer Success team lead will be responsible for all aspects of customer success, including:

• Successful onboarding of professionals to buy their first pack
• Delivery of a high standard of customer success maintaining a single view per customer across channels
• Defining and leading the implementation of our customer success policies
• Selection and management of our customer success software
• Maintenance of the help site(s) and template responses - updating as new features become available
• Recruitment, training, and performance management of customer success staff

Requirements

• Experience in a high volume customer service environment
• Experience hiring and developing customer success staff
• A can-do attitude to get things done efficiently and resolve user queries in a single contact
• Excellent communication style and ability to stay calm under pressure

Desirable

• Knowledge of customer success platforms and how they work