IT asset management Jobs in Hyderabad

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Hardware Asset Management/Associate Director

"A Reputed MNC"

Agency job

via People First Consultants by Aishwarya KA

Chennai, Bengaluru (Bangalore), Hyderabad, Kolkata, Pune, Mumbai, NCR (Delhi | Gurgaon | Noida)

15 - 26 yrs

₹28L - ₹35L / yr

Asset management

Asset manager

IT asset management

Hardware

About the Role

Objectives

Budget: Management of budget for Hardware Asset Management tools, services and staffing (permanent and temporary)
Talent management: Permanent, contract, temporary and graduate trainees
Matrix management: Management of staff with Hardware Asset Management responsibility in other business units
Lead third-party Hardware Asset Management resources: Supervisory responsibility for third-party resources supporting Hardware Asset Management activity
Financial: Oversight of spending on technology asset support, which includes hardware, software, cloud services, support, maintenance and hardware disposal
Environment: Endpoints and edge devices, software and service asset vendors, on-premises data center assets, and cloud services
Other: Liability management and remediation tracking

Responsibilities

The IT asset manager will:

Ensure that appropriate resources (people, tools, services) and processes are in place to gather and analyze data relating to technology asset life cycles and related processes.
Promote and advocate the value of Hardware Asset Management to various leaders. This includes developing and promoting effective Hardware Asset Management strategies, policy, approaches and practices across the full range of digital technology assets used within the organization.
Identify and report on breaches of Hardware Asset Management policy, and track remedial action.
Report on (or develop reporting on) remediation of digital technology asset-related risks and progress of optimization activity.
Ensure accurate and timely reporting, and that data completeness and quality issues are quickly identified and escalated to the responsible data or process owners.
Gather data on and provide analysis of all activities that have an impact on the value, cost and risk of digital technology asset life cycles.
Provide finance with the data to support the analysis of digital technology asset project and maintenance budgets and business cases.
Assign responsibilities for sub disciplines, such as IT asset disposition (ITAD).
Ensure that Hardware Asset Management -related tools and services are properly evaluated, selected, implemented, configured and maintained, with appropriate integration with other sources of organizational data.
Provide access to technology asset data in support of essential activities required to support the effective running of the business.
Manage the everyday functions of the core Hardware Asset Management team. This includes staffing, budgeting and other relevant management functions required to hold all IT and business stakeholders accountable for optimizing the cost, risk and benefit of digital technology assets throughout their life cycle.
Managing the deployment and collection of devices and other hardware assets to the associates or offices.

Requirements of the Hardware Asset Manager

Behaviors and Competencies

The IT asset manager acts in a leadership role and must demonstrate the following leadership attributes:

Strategic thinking — An understanding of strategic business objectives and the ability to develop a vision and strategy for Hardware Asset Management and execute it effectively in order to drive results toward those objectives
Interpersonal skills — Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix management environment (as well as external vendors and service providers) to ensure that segregation and overlapping roles are identified and coordinated
Strategic relationship management — Includes working with vendors during compliance audits
Strategic vision — Ability to sense emerging needs and drive change as Hardware Asset Management develops and matures to meet organizational and technology challenges

Skills

The Hardware asset manager must have the following skills:

Strong communication skills with a proven ability to understand key business and technical concepts, and then effectively communicate these concepts with technical staff, business stakeholders and senior management
Strong organizational skills, the ability to perform under pressure and to manage multiple priorities with competing demands for resources
Strong analytical, data processing and problem-solving skills
Proficiency in process formulation and improvement
Ability to read and interrupt contracts to properly manage digital technology, which includes license and maintenance agreements
Ability to manage the deployment and collection of devices and other hardware assets to the associates or offices in a large scale. Demonstrable experience of managing assets in hundreds of thousands will be required.

Knowledge

The Hardware asset manager must have in-depth knowledge and experience of the following:

Technology asset life cycle (whether digital technology, information, financial or physical assets), best practice governance, tools and services
Policy, process, and procedure development and implementation
Technology contracts and their likely cost implications through the technology asset life cycle
Engagement with sourcing, procurement and vendor management legal, tax and accountancy advisors for additional information
Data processing, analysis and quality management tools
Ability to manage effective deployment, collection and disposition of assets and managing the devices through its lifecycle

Additionally, an understanding of IT business continuity, cybersecurity, and integrated risk management and optimization methodologies is highly desirable, along with knowledge of IT management.

Experience

The following experience is considered essential:

A management role, including engagement with sourcing, procurement and vendor management, business stakeholders and frontline operational IT staff
Prior Hardware Asset Management roles (hardware or software) or demonstrable experience of working with IT asset management professionals to deliver Hardware Asset Management capability and improved business outcomes
Atleast 16 years of experience with IT, enterprise asset management or information management
Demonstrated leadership experience building cross-organizational consensus with exposure to technology providers and/or business clients
Demonstrated experience in liaising with middle and senior management
Experience with building business requirements for digital technology tools and services, developing business cases, and selecting solutions using RFP documentation and processes
Experience leading system or tool implementations, with responsibility for verifying capabilities, outputs, dependencies and implementation scope
Experience managing deployment, collection and disposition of assets in a large scale with globally distributed workforce.

The following experience is considered desirable, but not mandatory:

13+ years of experience working in the working in a large IT/ITeS organization
13+ years of experience in managing external IT service providers handling digital technology assets
Experience with ServiceNow platform

This is a sensitive role dealing with commercial risks and significant costs. The organization must have a high level of confidence in the integrity and track record of the individual appointed to this role.

Certifications

The following certifications are considered desirable, but not mandatory:

ITIL v3 Foundation certification
Certified IT Asset Manager
COBIT 5 Foundation

Education and Training

An undergraduate or postgraduate degree in finance, IT, engineering, business management or a related field
Tertiary qualifications in financial accounting, project management or data analysis, or a legal or paralegal qualification that includes contract, copyright or intellectual property law are preferred

About the Role

Objectives

Budget: Management of budget for Hardware Asset Management tools, services and staffing (permanent and temporary)
Talent management: Permanent, contract, temporary and graduate trainees
Matrix management: Management of staff with Hardware Asset Management responsibility in other business units
Lead third-party Hardware Asset Management resources: Supervisory responsibility for third-party resources supporting Hardware Asset Management activity
Financial: Oversight of spending on technology asset support, which includes hardware, software, cloud services, support, maintenance and hardware disposal
Environment: Endpoints and edge devices, software and service asset vendors, on-premises data center assets, and cloud services
Other: Liability management and remediation tracking

Responsibilities

The IT asset manager will:

Ensure that appropriate resources (people, tools, services) and processes are in place to gather and analyze data relating to technology asset life cycles and related processes.
Promote and advocate the value of Hardware Asset Management to various leaders. This includes developing and promoting effective Hardware Asset Management strategies, policy, approaches and practices across the full range of digital technology assets used within the organization.
Identify and report on breaches of Hardware Asset Management policy, and track remedial action.
Report on (or develop reporting on) remediation of digital technology asset-related risks and progress of optimization activity.
Ensure accurate and timely reporting, and that data completeness and quality issues are quickly identified and escalated to the responsible data or process owners.
Gather data on and provide analysis of all activities that have an impact on the value, cost and risk of digital technology asset life cycles.
Provide finance with the data to support the analysis of digital technology asset project and maintenance budgets and business cases.
Assign responsibilities for sub disciplines, such as IT asset disposition (ITAD).
Ensure that Hardware Asset Management -related tools and services are properly evaluated, selected, implemented, configured and maintained, with appropriate integration with other sources of organizational data.
Provide access to technology asset data in support of essential activities required to support the effective running of the business.
Manage the everyday functions of the core Hardware Asset Management team. This includes staffing, budgeting and other relevant management functions required to hold all IT and business stakeholders accountable for optimizing the cost, risk and benefit of digital technology assets throughout their life cycle.
Managing the deployment and collection of devices and other hardware assets to the associates or offices.

Requirements of the Hardware Asset Manager

Behaviors and Competencies

The IT asset manager acts in a leadership role and must demonstrate the following leadership attributes:

Strategic thinking — An understanding of strategic business objectives and the ability to develop a vision and strategy for Hardware Asset Management and execute it effectively in order to drive results toward those objectives
Interpersonal skills — Proven ability to collaborate, build relationships and influence individuals at all levels in a matrix management environment (as well as external vendors and service providers) to ensure that segregation and overlapping roles are identified and coordinated
Strategic relationship management — Includes working with vendors during compliance audits
Strategic vision — Ability to sense emerging needs and drive change as Hardware Asset Management develops and matures to meet organizational and technology challenges

Skills

The Hardware asset manager must have the following skills:

Strong communication skills with a proven ability to understand key business and technical concepts, and then effectively communicate these concepts with technical staff, business stakeholders and senior management
Strong organizational skills, the ability to perform under pressure and to manage multiple priorities with competing demands for resources
Strong analytical, data processing and problem-solving skills
Proficiency in process formulation and improvement
Ability to read and interrupt contracts to properly manage digital technology, which includes license and maintenance agreements
Ability to manage the deployment and collection of devices and other hardware assets to the associates or offices in a large scale. Demonstrable experience of managing assets in hundreds of thousands will be required.

Knowledge

The Hardware asset manager must have in-depth knowledge and experience of the following:

Technology asset life cycle (whether digital technology, information, financial or physical assets), best practice governance, tools and services
Policy, process, and procedure development and implementation
Technology contracts and their likely cost implications through the technology asset life cycle
Engagement with sourcing, procurement and vendor management legal, tax and accountancy advisors for additional information
Data processing, analysis and quality management tools
Ability to manage effective deployment, collection and disposition of assets and managing the devices through its lifecycle

Additionally, an understanding of IT business continuity, cybersecurity, and integrated risk management and optimization methodologies is highly desirable, along with knowledge of IT management.

Experience

The following experience is considered essential:

A management role, including engagement with sourcing, procurement and vendor management, business stakeholders and frontline operational IT staff
Prior Hardware Asset Management roles (hardware or software) or demonstrable experience of working with IT asset management professionals to deliver Hardware Asset Management capability and improved business outcomes
Atleast 16 years of experience with IT, enterprise asset management or information management
Demonstrated leadership experience building cross-organizational consensus with exposure to technology providers and/or business clients
Demonstrated experience in liaising with middle and senior management
Experience with building business requirements for digital technology tools and services, developing business cases, and selecting solutions using RFP documentation and processes
Experience leading system or tool implementations, with responsibility for verifying capabilities, outputs, dependencies and implementation scope
Experience managing deployment, collection and disposition of assets in a large scale with globally distributed workforce.

The following experience is considered desirable, but not mandatory:

13+ years of experience working in the working in a large IT/ITeS organization
13+ years of experience in managing external IT service providers handling digital technology assets
Experience with ServiceNow platform

Certifications

The following certifications are considered desirable, but not mandatory:

ITIL v3 Foundation certification
Certified IT Asset Manager
COBIT 5 Foundation

Education and Training

An undergraduate or postgraduate degree in finance, IT, engineering, business management or a related field
Tertiary qualifications in financial accounting, project management or data analysis, or a legal or paralegal qualification that includes contract, copyright or intellectual property law are preferred

AI/ML Engineer

at RaptorX.ai

4 candid answers

Posted by Parminder Kaur

Hyderabad

2 - 4 yrs

₹5L - ₹10L / yr

Python

TensorFlow

PyTorch

Docker

Kubernetes

Job Description:

As a Machine Learning Engineer, you will:

Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
Work closely with data scientists to optimize machine learning model performance.
Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

Develop and deploy scalable machine learning models into production environments.
Optimize models for performance and scalability.
Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

Success in deploying scalable and efficient AI models into production.
Improvement in model performance and scalability post-deployment.
Efficiency in model deployment and maintenance processes.
Positive feedback from team members and stakeholders on AI model integration and performance.
Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
Demonstrated ability to optimize machine learning models for performance and scalability.
Familiarity with machine learning lifecycle management tools and practices.
Experience in developing and maintaining scalable and robust AI systems.
Knowledge of best practices in AI model testing, versioning, and deployment.
Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

Strong command of Business English, both verbal and written, is required.

Other Skills Required:

Strong analytical and problem-solving skills.
Proficiency in code versioning tools, such as Git.
Ability to work in a fast-paced and evolving environment.
Excellent teamwork and communication skills.
Familiarity with agile development methodologies.
Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

Proven track record of successfully deploying machine learning models into production.
Ability to manage multiple projects simultaneously and meet deadlines.
A portfolio showcasing successful AI/ML projects.

Founders and Leadership

RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:

Fintech and Banking
E-commerce
Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

Job Description:

As a Machine Learning Engineer, you will:

Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
Work closely with data scientists to optimize machine learning model performance.
Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

Develop and deploy scalable machine learning models into production environments.
Optimize models for performance and scalability.
Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

Success in deploying scalable and efficient AI models into production.
Improvement in model performance and scalability post-deployment.
Efficiency in model deployment and maintenance processes.
Positive feedback from team members and stakeholders on AI model integration and performance.
Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
Demonstrated ability to optimize machine learning models for performance and scalability.
Familiarity with machine learning lifecycle management tools and practices.
Experience in developing and maintaining scalable and robust AI systems.
Knowledge of best practices in AI model testing, versioning, and deployment.
Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

Strong command of Business English, both verbal and written, is required.

Other Skills Required:

Strong analytical and problem-solving skills.
Proficiency in code versioning tools, such as Git.
Ability to work in a fast-paced and evolving environment.
Excellent teamwork and communication skills.
Familiarity with agile development methodologies.
Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

Proven track record of successfully deploying machine learning models into production.
Ability to manage multiple projects simultaneously and meet deadlines.
A portfolio showcasing successful AI/ML projects.

Founders and Leadership

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fintech and Banking
E-commerce
Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

AWS/Devops automation Engineer- Hyderabad- WFO

Software development Co.in HR Applications

Agency job

via The HRBPs by Sraboni Mukherjee

Hyderabad

5 - 8 yrs

₹10L - ₹15L / yr

DevOps

Kubernetes

Docker

Shell Scripting

Amazon Web Services (AWS)

AWS/Devops automation Engineer- Hyderabad- WFO

(Candidates from Service based Companies apply-Looking for automation(shell or python scripting))

SHIFT- Shift time either US East coast or west coast (2:30 PM to 10:30 PM India time or 5 to 2 am india time)

Exp- 5 to 8 years

Salary- Upto 25 LPA

Hyderabad based candidates preferred!

Immediate joiners would be preferred!!

Role Objective:

Ability to identify processes where efficiency could be improved via automation
Ability to research, prototype, iterate and test automation solutions
Good Technical understanding of Cloud service offering, with a sound appreciation of the associated business processes.
Ability to build & maintain a strong working relationship with other Technical teams using the agile methodology (internal and external), Infrastructure Partners and Service Engagement Managers.
Ability to shape and co-ordinate delivery of key initiatives to deliver improvements in stability
Good understanding of the cost of the e2e service provision, and delivery of associated savings.
Knowledge of web security principals
Strong Linux experience – comfortable working from command line
Some networking knowledge (routing, DNS)
Knowledge of HA and DR concepts and experience implementing them
Working with team to analyse and design infrastructure with 99.99% up-time.

Qualifications:

Infrastructure automation through DevOps scripting (Eg Python, Ruby, PowerShell, Java, shell) or previous software development experience
Experience in building and managing production cloud environments from the ground up.
Hands-on, working experience with primary AWS services (EC2, VPC, RDS, Route53, S3)
Knowledge on repository management (GitHub, SVN)
Solid understanding of web application architecture and RDBMS (SQL Server preferred).
Experience with IT compliance and risk management requirements is a bonus. (Eg Security, Privacy, HIPAA, SOX, etc)
Strong logical, analytical and problem-solving skills with excellent communication skills.
Should have degree in computer science, MIS, engineering or equivalent with 5+ years of experience.
Should be willing to work in rotational shifts (including the nights)

Perks and benefits:

Health & Wellness
Paid time off
Learning at work
Fun at work
Night shift allowance
Comp off
Pick and drop facility available to certain distance

AWS/Devops automation Engineer- Hyderabad- WFO

(Candidates from Service based Companies apply-Looking for automation(shell or python scripting))

SHIFT- Shift time either US East coast or west coast (2:30 PM to 10:30 PM India time or 5 to 2 am india time)

Exp- 5 to 8 years

Salary- Upto 25 LPA

Hyderabad based candidates preferred!

Immediate joiners would be preferred!!

Role Objective:

Ability to identify processes where efficiency could be improved via automation
Ability to research, prototype, iterate and test automation solutions
Good Technical understanding of Cloud service offering, with a sound appreciation of the associated business processes.
Ability to build & maintain a strong working relationship with other Technical teams using the agile methodology (internal and external), Infrastructure Partners and Service Engagement Managers.
Ability to shape and co-ordinate delivery of key initiatives to deliver improvements in stability
Good understanding of the cost of the e2e service provision, and delivery of associated savings.
Knowledge of web security principals
Strong Linux experience – comfortable working from command line
Some networking knowledge (routing, DNS)
Knowledge of HA and DR concepts and experience implementing them
Working with team to analyse and design infrastructure with 99.99% up-time.

Qualifications:

Infrastructure automation through DevOps scripting (Eg Python, Ruby, PowerShell, Java, shell) or previous software development experience
Experience in building and managing production cloud environments from the ground up.
Hands-on, working experience with primary AWS services (EC2, VPC, RDS, Route53, S3)
Knowledge on repository management (GitHub, SVN)
Solid understanding of web application architecture and RDBMS (SQL Server preferred).
Experience with IT compliance and risk management requirements is a bonus. (Eg Security, Privacy, HIPAA, SOX, etc)
Strong logical, analytical and problem-solving skills with excellent communication skills.
Should have degree in computer science, MIS, engineering or equivalent with 5+ years of experience.
Should be willing to work in rotational shifts (including the nights)

Perks and benefits:

Health & Wellness
Paid time off
Learning at work
Fun at work
Night shift allowance
Comp off
Pick and drop facility available to certain distance

Python Full stack Developer (Flask /Fast Api) | 8+Years | Hyderabad |

at Connect IO

Posted by Harika Kotha

Hyderabad

8 - 15 yrs

₹25L - ₹33L / yr

Required Qualifications, Capabilities, And Skills:

7+years of experience as Lead Full-stack engineer with hands-on in Python to build complex web applications backed by RDBMS, Snowflake or NoSQL database.
Good understanding / implementation experience in unit test automation using Junit, JMock or TestNG
Experience with frameworks like ReactJS, Python Flask and designing Microservices / event-driven architecture.
Experience with cloud (AWS or Azure) and running the development of cloud-based applications and development of APIs, web services.
Experience with Git, Azure Devops and Git flow for code lifecycle management
Solid experience in Designing, Development and Maintenance of Scalable, Distributed applications.
Understanding of software engineering concepts and formal applied experience of OO and functional programming paradigms
Hands-on practical experience in system design, application development, testing, and operational stability
Hands-on experience with CI/CD deployment pipelines.
Experience working and managing Agile / Scrum development cycles.
Ability to communicated ideas / architecture and get consensus from the relevant collaborators.
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
Must Have Skills : The candidate should be experience in Python with React JS

Required Qualifications, Capabilities, And Skills:

7+years of experience as Lead Full-stack engineer with hands-on in Python to build complex web applications backed by RDBMS, Snowflake or NoSQL database.
Good understanding / implementation experience in unit test automation using Junit, JMock or TestNG
Experience with frameworks like ReactJS, Python Flask and designing Microservices / event-driven architecture.
Experience with cloud (AWS or Azure) and running the development of cloud-based applications and development of APIs, web services.
Experience with Git, Azure Devops and Git flow for code lifecycle management
Solid experience in Designing, Development and Maintenance of Scalable, Distributed applications.
Understanding of software engineering concepts and formal applied experience of OO and functional programming paradigms
Hands-on practical experience in system design, application development, testing, and operational stability
Hands-on experience with CI/CD deployment pipelines.
Experience working and managing Agile / Scrum development cycles.
Ability to communicated ideas / architecture and get consensus from the relevant collaborators.
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
Must Have Skills : The candidate should be experience in Python with React JS

computer teacher

at Janapriya Educational society

Posted by prashanthi Guda

Miyapur, Hyderabad

0 - 5 yrs

₹2.5L - ₹3.5L / yr

Python

Javascript

C++

HTML/CSS

Scratch

+1 more

Hi,

I am HR from Janapriya school , Miyapur , Hyderabad , Telangana.

Currently we are looking for a primary computer teacher .

the teacher should have atleast 2 years experience in teaching computers .

Intrested candidates can apply to the above posting.

Hi,

I am HR from Janapriya school , Miyapur , Hyderabad , Telangana.

Currently we are looking for a primary computer teacher .

the teacher should have atleast 2 years experience in teaching computers .

Intrested candidates can apply to the above posting.

Senior PHP FullStack Developer

1STDue_Hyderabad

Agency job

via Startup Login by Shreya Sanchita

Remote, Hyderabad

7 - 15 yrs

₹15L - ₹25L / yr

Vue.js

AngularJS (1.x)

Angular (2+)

React.js

Javascript

+7 more

Company Profile: A US based SaaS based Product firm in Fire & EMS Services

Customer Platform is a SaaS data aggregation, visualization, and mobile response solution, which helps emergency response agencies to respond more effectively to incidents of all kinds.

Client is starting a new development center at Hyderabad, India and looking for core team members for the development of their platform

Senior PHP FullStack Developer | 5-13 Y | Hyderabad | 3M Remote + WFO |

This role is for 2-3 M remote option initially, should move to Hyderabad / WFO aftermath.

Interview Process: R1 - System Test + R2 Technical Session (CTO, India) + R3 Technical Session (Tech Director, USA) + HR discussion.

Job description :

Overall 7+ years of experience, with 5+ years in full stack PHP development

Experience creating user-friendly webpages and enhance our user's experience.

Experience 3+ years using Angular, React, Vue.JS, ECS6, CSS 3, and CSS preprocessors like SASS, LESS, plain JavaScript DOM manipulation, selectors, etc.

Converting UI design from Figma to HTML Animations with CSS and JavaScript

Hands-on development in various front-end web frameworks - HTML5, CSS3, JavaScript

Strong knowledge in PHP backend coding, best practices, ability to produce & consume REST services

Communicating design ideas using user flows, process flows, site maps, and wireframes.

Good understanding on Figma and producing UI design from Figma to HTML Animations with CSS and JavaScript

Optimize application for max. speed & scalability

Collaborate with back-end developers & web designers to improve usability Maintain & improve websites

Deliver features with high quality, on-time as per project plans and delivery commitments.

Agile development methodology

Vue.js experience is preferred