Desktop Engineer

Role Overview

The Hydrologist / Drainage Planning Expert will lead hydrological, hydraulic, and drainage design

tasks across infrastructure, transportation, water resources, and urban development projects. The

role involves rainfall-runoff analysis, watershed delineation, hydraulic modelling, flood-risk evaluation,

stormwater drainage design, and integration of survey and geospatial datasets such as LiDAR, drone

imagery, DEMs, and topographic survey data. The candidate will collaborate with multidisciplinary

teams and prepare technical reports, drawings, and engineering-ready deliverables.

Key Responsibilities

• Conduct rainfall-runoff analysis using standard hydrological methods.

• Perform catchment delineation, infiltration assessment, and runoff estimation.

• Analyse rainfall, discharge, and historical flood data.

• Develop hydraulic models using HEC-RAS, HEC-HMS, SWMM, or equivalent tools.

• Design stormwater drainage systems including channels, culverts, and outfall structures.

• Prepare GL–IL sheets, drainage profiles, and hydraulic gradient calculations.

• Integrate survey datasets such as LiDAR, DEMs, and drone orthomosaics.

• Identify drainage bottlenecks and propose mitigation measures.

• Prepare hydrology reports, calculations, drawings, and GIS layers.

• Coordinate with GIS, CAD, LiDAR, Survey, and engineering teams.

• Conduct field visits for drainage assessment and validation.

Key Performance Indicators (KPI)

• Accuracy of hydrological and hydraulic calculations.

• Quality and completeness of drainage design deliverables.

• Timely submission of reports and drawings.

• Reduction of rework and improved dataset integration.

• Client acceptance of deliverables with minimal revisions.

• Effective interdisciplinary communication and coordination.

Skills & Competencies

• Strong understanding of hydrology, surface water drainage, and hydraulics.

• Knowledge of modelling tools such as HEC-RAS, HEC-HMS, SWMM, or MIKE.

• Proficiency in GIS tools (ArcGIS/QGIS) for terrain and watershed analysis.

• Ability to interpret LiDAR point clouds, DEMs, and topographic data.

• Familiarity with AutoCAD/Civil 3D for drainage drawings.

• Strong analytical, problem-solving, and documentation skills.

• Good communication and technical writing abilities.

Educational Qualifications

• M.Tech/M.Sc in Hydrology, Water Resources, Civil Engineering, or Environmental Engineering.

• B.Tech (Civil) with strong hydrology knowledge may also apply.

• Training/certifications in hydraulic modelling tools preferred.

Experience Requirements

• 3 to 12 years of experience in hydrology, drainage planning, stormwater modelling, or water

resource engineering.

• Experience integrating LiDAR/drone-based datasets is an added advantage.

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Job Title: Software Dev Engineer II

Location: Bangalore

Duration: 8 Months    

Job Type: Contract      

Work Type: Onsite 

Job Description: 

The top 3 responsibilities:

·        Requirement gathering & Coding

·         

Mandatory Requirements:

·        2+ years in Core Java, DSA.

·        Strong coding experience

·        Candidate based in Bangalore will be preferred

·        Quick joiners will be preferred

·        Candidate should have good communication skills

·         

Education or Certification:

·        Bachelors in CS, IT or BSC in CS

 Notice: Immediate Joiners only

Shift timings: 9 AM- 6 PM IST some flexibility will be required after 6 PM IST

Location: Bangalore

Relevant Exp: 2+ years

Mode: All 5 days WFO

Join our dynamic team as a Software Quality Assurance Engineer (SWQA) and contribute to ensuring top-quality software development in the automotive industry. If you’re passionate about software quality, process improvements, and driving excellence in software projects, this role is for you!

Key Responsibilities:

• Plan and execute SQA activities in line with project timelines and performance metrics
• Collaborate with stakeholders including software project managers, developers, testers, and process leads
• Conduct thorough reviews of software work products developed in-house and by external suppliers
• Support ECU owners in supplier joint reviews, ensuring quality deliverables
• Monitor, measure, and analyze software quality metrics and track deliverables
• Identify software gaps, defects, and potential risks, prioritizing based on impact
• Drive corrective actions to closure, manage deviations, and ensure quality standards
• Generate detailed quality reports to provide insights on software progress

Secondary Responsibilities:

• Assist in rolling out the Polestar Embedded Software Development Process
• Perform process reviews and internal audits
• Promote continuous improvement within the embedded software development lifecycle

Qualifications:

• Proven experience in software development projects within the automotive industry
• Strong knowledge of quality standards and process models such as:
• Automotive SPICE
• ISO 26262
• ISO 21434
• IATF 16949
• Excellent communication and collaboration skills, with the ability to engage cross-functional teams

If you’re ready to play a critical role in shaping the quality of cutting-edge automotive software, we want to hear from you!

🌟 Apply now and become part of our innovative journey in the automotive sector.

Are you a software developer who possesses magical React skills? Do you enjoy crafting intuitive, responsive, and scalable user interfaces? If so, we want you to join our team at Portle!

As a software engineer at Portle, you will have the opportunity to:

• Work on challenging problems everyday
• Design and develop excellent user experiences using React
• Collaborate with other engineers to ensure that our codebase is scalable, maintainable, and easily readable
• Learn to balance the creation of tech debt with delivering business requirements
• Understand complex problems, break them down into smaller ones, and solve each modularly

We are looking for someone with the following profile:

• Expertise in data structures and algorithms (extremely important)
• Strong proficiency in HTML, CSS, and JavaScript
• Experience with React and its latest features, such as hooks
• Excellent communication skills and the ability to work in an unstructured startup environment

At Portle, we value self-motivated individuals who do not need supervision to perform at their peak levels. We're looking for someone who's passionate about React and loves to wield its magic to create amazing software. If you're a React Sorcerer who's ready to take on a new challenge, we want to hear from you! Apply today and let us see your sorcery in action!

Position Summary

Are you passionate about working with smart people on challenging problems in an environment that values hard work, integrity and teamwork? F5 A Market leader in Application Delivery Controllers and Security platforms is hiring for its Centre of Excellence office in Hyderabad, India. Join our team of super smart engineers working in a fun, fast-paced, and highly technical environment where your dreams can become reality.

As a member of Firewall team, you are responsible for designing and developing automated test cases and framework, creation and execution of test cases, test plans to validate features and components of high performing software solution to detect underlying application by analyzing network traffic. 

Primary Responsibilities

• Perform testing and validation of new and existing features. This includes creation of test strategy and test plans based on feature specs & requirements.
• Design, Implement, enhance and maintain automated tests.
• Execute and monitor the progress of automation runs and investigate test failures.
• Work with the product development engineers to help isolating defects, improve engineering documentation and enhance product quality.
• Performs analysis to define, edit and manage test methodologies tools, utilities, system structures, environments and provide technical input into project scope and estimating activities.
• Simulate network traffic using various tools & servers.

Knowledge, Skills and Abilities:

Essential Skills:

• 3+ years test automation experience in python, Javascript.
• Expert in network traffic generation tool like scapy.
• Experience with test methodologies used in software development.
• Excellent analytical and problem solving skills.
• Good understanding of network security, fire technolies
• Fair understanding of network protocols like TCP, UDP, IP, HTTP, SSL, DNS, FTP etc.
• Good team player with excellent written & verbal communication skills
• Knowledge on vmware is a plus

Nice-to-have Skills:

• Understanding of Linux networking and OS internals.
• Experience with CI/CD(git, pipeline, jenkins etc.).

Qualifications

• Requires a minimum of 2- 6 years of related experience with a Bachelor of Engineering in ECE/Computers or 2 years experience with ME/MTech in ECE/Computers.
• Excellent organizational agility and interpersonal skills throughout the organization.
• Ability to work flexible hours for better collaboration with International teams.
• 
  
• Link to Apply:
• 
  
• https://ffive.wd5.myworkdayjobs.com/f5jobs/job/Hyderabad/Software-Engineer-II_RP1023698

Desired Candidate Profile

Artifex HR is looking to hire an HR recruiter to manage our recruitment cycle. The job involves identifying potential hires, evaluating, interviewing candidates and post recruitment checks.

JOB RESPONSIBILITES:

- Sourcing candidate CVs from various job portals by posting ads and following up

- Placing job advertisements

- Using company’s database/ reference/ networks & teams

- Pre-screening activities before scheduling of interviews

- Co-ordinating between potential candidates during subsequent rounds

- Making referral checks for the new hires before they’ve been placed with the company

- Finalizing salaries and sending out offer letters to selected candidates

- Ensuring that the candidates join and are given a date of joining

JOB REQUIREMENTS:

- 6 months to 2 years of work experience as an IT Recruiter or similar role

- Experience with IT recruitment is preferred

- Degree in Human Resources Management, Organizational Psychology or relevant field

- Experience with sourcing techniques and familiarity with handling job portals

- Excellent verbal and written communication skills

EXPERIENCE: 6 months to 2 years

SALARY: Up to 20,000 per month