Basic Information

• Total Positions 1
• Experience: 3-6 Years
• Job Type fulltime
• Travel Required: Not Specified
• Minimum Education: Bachelors
• Salary Range: Confidential PKR
• Gender: Any
• Max Age Limit: 23-37 Years

REQUIRED SKILLS

AWS/EC2, ci/cd, jenkins, Terraform

JOB DESCRIPTION

Zepto Systems

We are looking for AWS DevOps Engineer

Requirements:

• Experience implementing end-to-end Continuous Integration and Continuous Delivery (CI/CD) Pipelines (CodeCommit, CodeBuild) and providing best practice advice and recommendations. Strong hands-on experience working with CI/CD pipelines and tools: Jenkins, CodePipeline, CodeDeploy.
• Experience in Infrastructure-as-Code both Terraform and CloudFormation
• Demonstrable experience of client interaction at all stages
• Hands-on experience with AWS services: EC2, ELB, ECS, RDS, Lambda, API Gateway, Route53, S3, SageMaker.
• Experience working with containerized applications (Docker / Kubernetes)
• Experience with Architecture as code: Terraform, CloudFormation.
• Hands-on experience with MLOps tools, such as: Kubeflow, MLFLow.
• Production environment experience with AWS
• Experience collaborating across multiple functional and/or technical teams to deliver an agile based project
• Experience delivering complete solutions utilizing common scripting/programming languages (e.g., Bash, PowerShell, Python, Java, etc.)
• Experience working with Linux and Windows Server including Active Directory/SSO
• Demonstrated knowledge of cloud networking and security (e.g., identity and access management, firewalls, etc.)
• Experience delivering microservice solutions, especially in AWS
• Experience of working within a Microsoft Azure as well as AWS would be ideal but not required.

• 3-6 Years
• fulltime
• Bachelors
• 23-37 Years

• We are looking for AWS DevOps Engineer

  Requirements:

  • Experience implementing end-to-end Continuous Integration and Continuous Delivery (CI/CD) Pipelines (CodeCommit, CodeBuild) and providing best practice advice and recommendations. Strong hands-on experience working with CI/CD pipelines and tools: Jenkins, CodePipeline, CodeDeploy.
  • Experience in Infrastructure-as-Code both Terraform and CloudFormation
  • Demonstrable experience of client interaction at all stages
  • Hands-on experience with AWS services: EC2, ELB, ECS, RDS, Lambda, API Gateway, Route53, S3, SageMaker.
  • Experience working with containerized applications (Docker / Kubernetes)
  • Experience with Architecture as code: Terraform, CloudFormation.
  • Hands-on experience with MLOps tools, such as: Kubeflow, MLFLow.
  • Production environment experience with AWS
  • Experience collaborating across multiple functional and/or technical teams to deliver an agile based project
  • Experience delivering complete solutions utilizing common scripting/programming languages (e.g., Bash, PowerShell, Python, Java, etc.)
  • Experience working with Linux and Windows Server including Active Directory/SSO
  • Demonstrated knowledge of cloud networking and security (e.g., identity and access management, firewalls, etc.)
  • Experience delivering microservice solutions, especially in AWS
  • Experience of working within a Microsoft Azure as well as AWS would be ideal but not required.

Basic Information

• Total Positions 1
• Experience: 3-6 Years
• Job Type fulltime
• Travel Required: Not Specified
• Minimum Education: Not Specified
• Salary Range: Not Specified PKR
• Gender: Any
• Max Age Limit: Not Specified

REQUIRED SKILLS

JOB DESCRIPTION

Zepto Systems

Work collaboratively with Data Scientists, Data Engineers, Data Analysts, DevOps engineers, Cloud Solutions Architects, and other stakeholders including product owners and business analysts, in order to gather, analyse, and understand data engineering requirements
Build a range of data products and integrate and manage datasets from multiple external sources, including data extraction, data ingestion, and processing of large datasets
Design and develop methods to automate data ingestion from external sources (including different data vendors) into our AWS products and create efficient ETL pipelines.
Design, optimise and implement data models and data schemas for different data sources and use cases
Build, design, refactor, and optimise AWS data lakes and AWS data warehouses for a variety of data sources
Work with a range of storage systems, including relational databases, NoSQL, and others.
2-3 years’ experience in Data Engineering
Extensive experiences in AWS services like RDS, Lambda, Glue, Neptune, Athena, DMS, Redshift, EC2 and machine learning tools
Skills in core SQL Competencies, such as Stored Procedures, Batch Jobs, and implementing highly performant SQL code for our AWS products
Good working knowledge of any of the following: Python, Java, SQL
Experience with version control tools (e.g., Git)
Aptitude for, and interest in, working in a fast-paced environment
Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
Experience working with data ingestion from APIs, RSS feeds, and FTP
Experiences working with either a MapReduce or MPP system
Good understanding of data modelling and data engineering tools such as Kafka, Spark, and Hadoop
Experiences with Graph databases

• 3-6 Years
• fulltime
• Not Specified
• Not Specified

• Work collaboratively with Data Scientists, Data Engineers, Data Analysts, DevOps engineers, Cloud Solutions Architects, and other stakeholders including product owners and business analysts, in order to gather, analyse, and understand data engineering requirements
  Build a range of data products and integrate and manage datasets from multiple external sources, including data extraction, data ingestion, and processing of large datasets
  Design and develop methods to automate data ingestion from external sources (including different data vendors) into our AWS products and create efficient ETL pipelines.
  Design, optimise and implement data models and data schemas for different data sources and use cases
  Build, design, refactor, and optimise AWS data lakes and AWS data warehouses for a variety of data sources
  Work with a range of storage systems, including relational databases, NoSQL, and others.
  2-3 years’ experience in Data Engineering
  Extensive experiences in AWS services like RDS, Lambda, Glue, Neptune, Athena, DMS, Redshift, EC2 and machine learning tools
  Skills in core SQL Competencies, such as Stored Procedures, Batch Jobs, and implementing highly performant SQL code for our AWS products
  Good working knowledge of any of the following: Python, Java, SQL
  Experience with version control tools (e.g., Git)
  Aptitude for, and interest in, working in a fast-paced environment
  Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
  Experience working with data ingestion from APIs, RSS feeds, and FTP
  Experiences working with either a MapReduce or MPP system
  Good understanding of data modelling and data engineering tools such as Kafka, Spark, and Hadoop
  Experiences with Graph databases

Basic Information

• Total Positions 2
• Experience: 3-5 Years
• Job Type fulltime
• Travel Required: Not Specified
• Minimum Education: Bachelors
• Salary Range: PKR150000 - 350000/Month PKR
• Gender: Any
• Max Age Limit: 23-36 Years

REQUIRED SKILLS

AWS/EC2, machine learning, SageMaker, Terraform

JOB DESCRIPTION

Zepto Systems

We are looking for D ML Operations Engineer.
Requirements:

• Strong experience writing production level code in Python. 
• Experience with AWS: EC2, EKS, Lambda, S3, SageMaker, ECS. 
• Experience working with containerized applications (Docker / Kubernetes) 
• Hands-on experience with MLOps tools, such as: Kubeflow, MLFLow. 
• Strong experience with Architecture as code: Terraform, CloudFormation. 
• Ability to set priorities, focus and to take ownership and drive a task to conclusion without supervision. 
• Demonstrable experience in working on collaborative software projects and knowledge of clean software architecture principles 
• Experience with technical documentation writing to industry standard. 
• Baseline knowledge of engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations. 
• Ability and willingness to discover, evaluate, use, and learn new technologies. 
• Experienced working following agile framework and scrum methods. 
• Continue to improve the data pipeline 
• Collaborate with the data science team as required. 
• Participate in planning efforts, estimation, and peer code-reviews, ensuring high-quality code standards and test-covered development  

• 3-5 Years
• fulltime
• Bachelors
• 23-36 Years

• We are looking for D ML Operations Engineer.
  Requirements:

  • Strong experience writing production level code in Python. 
  • Experience with AWS: EC2, EKS, Lambda, S3, SageMaker, ECS. 
  • Experience working with containerized applications (Docker / Kubernetes) 
  • Hands-on experience with MLOps tools, such as: Kubeflow, MLFLow. 
  • Strong experience with Architecture as code: Terraform, CloudFormation. 
  • Ability to set priorities, focus and to take ownership and drive a task to conclusion without supervision. 
  • Demonstrable experience in working on collaborative software projects and knowledge of clean software architecture principles 
  • Experience with technical documentation writing to industry standard. 
  • Baseline knowledge of engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations. 
  • Ability and willingness to discover, evaluate, use, and learn new technologies. 
  • Experienced working following agile framework and scrum methods. 
  • Continue to improve the data pipeline 
  • Collaborate with the data science team as required. 
  • Participate in planning efforts, estimation, and peer code-reviews, ensuring high-quality code standards and test-covered development  

Basic Information

• Total Positions 5
• Experience: 2-5 Years
• Job Type fulltime
• Travel Required: Not Specified
• Minimum Education: Bachelors
• Salary Range: PKR40000 - 80000/Month PKR
• Gender: Any
• Max Age Limit: 20-34 Years

REQUIRED SKILLS

business development, cold calling, customer dealing, english fluency, international sales

JOB DESCRIPTION

Zepto Systems

We are looking for Business Development Executive (International Sales)

The role requires significant interaction with clients, which may be over the telephone or email, tasks are varied and include.

• Understanding customers' diverse, specific business needs and applying product knowledge to meet those needs
• Ensuring quality of service by developing a thorough and detailed knowledge of technical specifications and other features of employers' systems and processes and then documenting them
• Cold-calling in order to create interest in products and services, generate new business leads and arrange meetings
• Identifying and developing new business through networking and courtesy and follow-up calls
• Preparing and delivering customer presentations and demonstrations of the software, articulately and confidently
• Maintaining awareness and keeping abreast of constantly changing software and hardware systems and peripherals
• Developing effective sales plans using sales methodology
• Meeting sales targets set by managers and contributing to team targets
• Networking with existing customers in order to maintain links and promote additional products and upgrades
• Responding to tender documents, writing proposals.
• Managing workload in order to organize and priorities daily and weekly goals
• Contributing to team or progress meetings to update and inform colleagues.

• 2-5 Years
• fulltime
• Bachelors
• 20-34 Years

• We are looking for Business Development Executive (International Sales)

  The role requires significant interaction with clients, which may be over the telephone or email, tasks are varied and include.

  • Understanding customers' diverse, specific business needs and applying product knowledge to meet those needs
  • Ensuring quality of service by developing a thorough and detailed knowledge of technical specifications and other features of employers' systems and processes and then documenting them
  • Cold-calling in order to create interest in products and services, generate new business leads and arrange meetings
  • Identifying and developing new business through networking and courtesy and follow-up calls
  • Preparing and delivering customer presentations and demonstrations of the software, articulately and confidently
  • Maintaining awareness and keeping abreast of constantly changing software and hardware systems and peripherals
  • Developing effective sales plans using sales methodology
  • Meeting sales targets set by managers and contributing to team targets
  • Networking with existing customers in order to maintain links and promote additional products and upgrades
  • Responding to tender documents, writing proposals.
  • Managing workload in order to organize and priorities daily and weekly goals
  • Contributing to team or progress meetings to update and inform colleagues.