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Tecblic Pvt Ltd
Tecblic Pvt Ltd cover picture
Founded :
2020
Type :
Services
Size :
20-100
Stage :
Bootstrapped

About

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Company social profiles

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Jobs at Tecblic Pvt Ltd

Tecblic Pvt Ltd
at Tecblic Pvt Ltd
Himanshu Chavla
Posted by Himanshu Chavla
Remote only
5 - 8 yrs
₹12L - ₹15L / yr
uipath
RPAS
skill iconC#
Powershell
skill iconPython

Job Title: Senior Automation Consultant – UiPath

Location: Remote

Experience: 5+ years

Shift: AUS Time zone

Job Type: [Full-Time/Contract/Remote


• We are seeking a Senior Automation Consultant – UiPath to lead the design, development, and implementation of Robotic Process Automation (RPA) solutions using UiPath.

• The ideal candidate will have strong hands-on experience in UiPath, a deep understanding of automation frameworks, and the ability to consult with clients to identify and optimize business processes for automation.

• This role involves delivering high-impact automation projects, mentoring junior team members, and collaborating with stakeholders across various industries.

• 5+ years of experience in RPA development with a focus on UiPath.

• Strong expertise in UiPath Studio, UiPath Orchestrator, UiPath Robot, and UiPath Apps.

• Experience with UiPath REFramework and state machines.

• Hands-on experience in process discovery and process mining tools (e.g., UiPath Process Mining).

• Proficient in VB.NET, C#, Python, or PowerShell for scripting and automation.

• Solid understanding of SQL databases, API integrations, and web services (REST/SOAP).

• Familiarity with OCR tools (e.g., Abbyy FlexiCapture, Tesseract) and AI/ML integrations.

• Experience with UiPath Insights for reporting and UiPath Test Suite.

• Understanding of security protocols, data encryption, and RPA governance.

• Strong communication skills to interact with both technical and business stakeholders.

Read more
Tecblic Pvt Ltd
at Tecblic Pvt Ltd
Himanshu Chavla
Posted by Himanshu Chavla
Ahmedabad
4 - 5 yrs
₹8L - ₹15L / yr
DevOps
skill iconKubernetes
skill iconDocker
skill iconAmazon Web Services (AWS)
Windows Azure
+1 more

We are looking for a seasoned DevOps Engineer with a strong background in solution architecture, ideally from the Banking or BFSI (Banking, Financial Services, and Insurance) domain. This role is crucial for implementing scalable, secure infrastructure and CI/CD practices tailored to the needs of high-compliance, high-availability environments. The ideal candidate will have deep expertise in Docker, Kubernetes, cloud platforms, and solution architecture, with knowledge of ML/AI and database management as a plus.


Key Responsibilities:

● Infrastructure & Solution Architecture: Design secure, compliant, and high-

performance cloud infrastructures (AWS, Azure, or GCP) optimized for BFSI-specific

applications.

● Containerization & Orchestration: Lead Docker and Kubernetes initiatives,

deploying applications with a focus on security, compliance, and resilience.

● CI/CD Pipelines: Build and maintain CI/CD pipelines suited to BFSI workflows,

incorporating automated testing, security checks, and rollback mechanisms.

● Cloud Infrastructure & Database Management: Manage cloud resources and

automate provisioning using Terraform, ensuring security standards. Optimize

relational and NoSQL databases for BFSI application needs.

● Monitoring & Incident Response: Implement monitoring and alerting (e.g.,

Prometheus, Grafana) for rapid incident response, ensuring uptime and reliability.

● Collaboration: Work closely with compliance, security, and development teams,

aligning infrastructure with BFSI standards and regulations.

Qualifications:

● Education: Bachelor’s or Master’s degree in Computer Science, Engineering,

Information Technology, or a related field.

● Experience: 5+ years of experience in DevOps with cloud infrastructure and solution

architecture expertise, ideally in ML/AI environments.

● Technical Skills:

○ Cloud Platforms: Proficient in AWS, Azure, or GCP; certifications (e.g., AWS

Solutions Architect, Azure Solutions Architect) are a plus.

○ Containerization & Orchestration: Expertise with Docker and Kubernetes,

including experience deploying and managing clusters at scale.

○ CI/CD Pipelines: Hands-on experience with CI/CD tools like Jenkins, GitLab

CI, or GitHub Actions, with automation and integration for ML/AI workflows

preferred.

○ Infrastructure as Code: Strong knowledge of Terraform and/or

CloudFormation for infrastructure provisioning.


○ Database Management: Proficiency in relational databases (PostgreSQL,

MySQL) and NoSQL databases (MongoDB, DynamoDB), with a focus on

optimization and scalability.

○ ML/AI Infrastructure: Experience supporting ML/AI pipelines, model serving,

and data processing within cloud or hybrid environments.

○ Monitoring and Logging: Proficient in monitoring tools like Prometheus and

Grafana, and log management solutions like ELK Stack or Splunk.

○ Scripting and Automation: Strong skills in Python, Bash, or PowerShell for

scripting and automating processes.

Read more
Tecblic Pvt Ltd
at Tecblic Pvt Ltd
Himanshu Chavla
Posted by Himanshu Chavla
Ahmedabad
3 - 5 yrs
₹9L - ₹12L / yr
Data engineering
Hadoop
Spark
AWS CloudFormation
Microsoft Windows Azure
+1 more

About Job


We are seeking an experienced Data Engineer to join our data team. As a Senior Data Engineer, you will work on various data engineering tasks including designing and optimizing data pipelines, data modelling, and troubleshooting data issues. You will collaborate with other data team members, stakeholders, and data scientists to provide data-driven insights and solutions to the organization. Experience required is of 3+ Years.


Responsibilities:

Design and optimize data pipelines for various data sources

Design and implement efficient data storage and retrieval mechanisms

Develop data modelling solutions and data validation mechanisms

Troubleshoot data-related issues and recommend process improvements

Collaborate with data scientists and stakeholders to provide data-driven insights and solutions

Coach and mentor junior data engineers in the team


Skills Required:

3+ years of experience in data engineering or related field

Strong experience in designing and optimizing data pipelines, and data modelling

Strong proficiency in programming languages Python

Experience with big data technologies like Hadoop, Spark, and Hive

Experience with cloud data services such as AWS, Azure, and GCP

Strong experience with database technologies like SQL, NoSQL, and data warehousing

Knowledge of distributed computing and storage systems

Understanding of DevOps and power automate and Microsoft Fabric will be an added advantage

Strong analytical and problem-solving skills

Excellent communication and collaboration skills

Qualifications


Bachelor's degree in Computer Science, Data Science, or a Computer related field (Master's degree preferred)

Read more
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