Linux system engineer

Lightning Job By Cutshort ⚡

As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)

Job Overview:

We are seeking an experienced DevOps Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the infrastructure and software systems required to support our development and production environments. The ideal candidate should have a strong background in Linux, GitHub, Actions/Jenkins, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.

Kindly apply at https://wohlig.keka.com/careers/jobdetails/54566

Responsibilities:

• Design, implement and maintain CI/CD pipelines using GitHub, Actions/Jenkins, Kubernetes, Helm, and ArgoCD.

• Deploy and manage Kubernetes clusters using AWS.

• Configure and maintain Envoy Proxy and Cert-Manager to automate deployment and manage application environments.

• Monitor system performance using Datadog, ELK, and Cloudflare tools.

• Automate infrastructure management and maintenance tasks using Terraform, Ansible, or similar tools.

• Collaborate with development teams to design, implement and test infrastructure changes.

• Troubleshoot and resolve infrastructure issues as they arise.

• Participate in on-call rotation and provide support for production issues.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering or a related field.

• 3+ years of experience in DevOps engineering with a focus on Linux, GitHub, Actions/CodeFresh, ArgoCD, AWS, Kubernetes, Helm, Datadog, MongoDB, Envoy Proxy, Cert-Manager, Terraform, ELK, Cloudflare, and BigRock.

• Strong understanding of Linux administration and shell scripting.

• Experience with automation tools such as Terraform, Ansible, or similar.

• Ability to write infrastructure as code using tools such as Terraform, Ansible, or similar.

• Experience with container orchestration platforms such as Kubernetes.

• Familiarity with container technologies such as Docker.

• Experience with cloud providers such as AWS.

• Experience with monitoring tools such as Datadog and ELK.

Skills:

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration skills.

• Ability to work independently or in a team environment.

• Strong attention to detail.

• Ability to learn and apply new technologies quickly.

• Ability to work in a fast-paced and dynamic environment.

• Strong understanding of DevOps principles and methodologies.

• Strong Product Designer profile, with both UI and UX works for B2C Products
• Mandatory (Experience 1) - Must have a 5+ YOE in end-to-end Product Design, including UX work like UX Research, User Persona, Workflows
• Mandatory (Experience 2) - Expertise in tools like Figma, Sketch, Adobe XD, and others to create high-fidelity wireframes and prototypes
• Mandatory (Portfolio) - Must have a strong portfolio of UI/UX of Good B2C products. Portfolio must show detailed case studies including Wireframing, Prototype, Interaction Design and Visual Designs

Preferred

• Preferred (Company) – Product Companies

About Vijay Sales

Vijay Sales is one of India’s leading electronics retail brands with 160+ stores nationwide and a fast-growing digital presence. We are on a mission to build the most advanced data-driven retail intelligence ecosystem—using AI, predictive analytics, LLMs, and real-time automation to transform customer experience, supply chain, and omnichannel operations.

Role Overview

We are looking for a highly capable AI Engineer who is passionate about building production-grade AI systems, designing scalable ML architecture, and working with cutting-edge AI/ML tools. This role involves hands-on work with Databricks, SQL, PySpark, modern LLM/GenAI frameworks, and full lifecycle ML system design.

Key Responsibilities

Machine Learning & AI Development

• Build, train, and optimize ML models for forecasting, recommendation, personalization, churn prediction, inventory optimization, anomaly detection, and pricing intelligence.
• Develop GenAI solutions using modern LLM frameworks (e.g., LangChain, LlamaIndex, HuggingFace Transformers).
• Explore and implement RAG (Retrieval Augmented Generation) pipelines for product search, customer assistance, and support automation.
• Fine-tune LLMs on company-specific product and sales datasets (using QLoRA, PEFT, and Transformers).
• Develop scalable feature engineering pipelines leveraging Delta Lake and Databricks Feature Store.

Databricks / Data Engineering

• Build end-to-end ML workflows on Databricks using PySpark, MLflow, Unity Catalog, Delta Live Tables.
• Optimize Databricks clusters for cost, speed, and stability.
• Maintain reusable notebooks and parameterized pipelines for model ingestion, validation, and deployment.
• Use MLflow for tracking experiments, model registry, and lifecycle management.

Data Handling & SQL

• Write advanced SQL for multi-source data exploration, aggregation, and anomaly detection.
• Work on large, complex datasets from ERP, POS, CRM, Website, and Supply Chain systems.
• Automate ingestion of streaming and batch data into Databricks pipelines.

Deployment & MLOps

• Deploy ML models using REST APIs, Databricks Model Serving, Docker, or cloud-native endpoints.
• Build CI/CD pipelines for ML using GitHub Actions, Azure DevOps, or Databricks Workflows.
• Implement model monitoring for drift, accuracy decay, and real-time alerts.
• Maintain GPU/CPU environments for training workflows.
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Must-Have Technical Skills

Core AI/ML

• Strong fundamentals in machine learning: regression, classification, time-series forecasting, clustering.
• Experience in deep learning using PyTorch or TensorFlow/Keras.
• Expertise in LLMs, embeddings, vector databases, and GenAI architecture.
• Hands-on experience with HuggingFace, embedding models, and RAG.

Databricks & Big Data

• Hands-on experience with Databricks (PySpark, SQL, Delta Lake, MLflow, Feature Store).
• Strong understanding of Spark execution, partitioning, and optimization.

Programming

• Strong proficiency in Python.
• Experience writing high-performance SQL with window functions, CTEs, and analytical queries.
• Knowledge of Git, CI/CD, REST APIs, and Docker.

MLOps & Production Engineering

• Experience deploying models to production and monitoring them.
• Familiarity with tools like MLflow, Weights & Biases, or SageMaker equivalents.
• Experience in building automated training pipelines and handling model drift/feedback loops.

Preferred Domain Experience

• Retail/e-commerce analytics
• Demand forecasting
• Inventory optimization
• Customer segmentation & personalization
• Price elasticity and competitive pricing

Job Opportunity: AWS Infrastructure Engineer

• Location: Anywhere, Permanent Remote
• Work Mode: Remote, Work from Home
• Payroll Company: Talpro India
• Experience Required: 4+ Years
• Notice Period: Immediate Joiner Only

Key Responsibilities:

• Cloud Infrastructure Design & Management:
• • Architect, deploy, and maintain AWS services like EC2, S3, VPC, RDS, IAM, Lambda
• • Build secure, scalable cloud environments on AWS; Azure/GCP exposure is a plus
• Security & Compliance:
• • Implement security best practices using IAM, GuardDuty, Security Hub, WAF
• • Apply patching and security updates for Linux and Windows systems
• Networking & Connectivity:
• • Configure and troubleshoot AWS networking (VPC, TGW, Route 53, VPNs, Direct Connect)
• • Manage hybrid environments and URL filtering solutions
• Server & Service Optimization:
• • Optimize Apache, NGINX, MySQL/PostgreSQL on Linux and Windows platforms
• • Ensure server health, availability, and performance
• Firewall & Access Control:
• • Hands-on with physical firewalls like Palo Alto and Cisco
• Support & Integration:
• • Provide L2/L3 support and ensure quick incident resolution
• • Collaborate with DevOps, application, and database teams
• Automation & Monitoring:
• • Automate using Terraform, CloudFormation, Bash, or Python
• • Monitor and optimize using CloudWatch, Trusted Advisor, and Cost Explorer

Must-Have Skills:

• 4+ years of hands-on experience with AWS Cloud
• System administration for both Linux and Windows
• Expertise in AWS networking and security
• Proficiency with Terraform or CloudFormation
• Scripting skills in Bash or Python
• Experience managing Apache, NGINX, MySQL/PostgreSQL
• Familiarity with Palo Alto or Cisco firewalls

Knowledge of AWS monitoring tools like CloudWatch and Trusted Advisor

Good to Have Skills:

• Exposure to multi-cloud environments like Azure or GCP
• RHCSA or MCSE certification
• Strong collaboration and DevOps integration skills
• 
  

Certifications Required:

• AWS Certified Solutions Architect (Mandatory)
• RHCSA or MCSE (Preferred)
• 
  

Summary:

We are looking for an AWS Infrastructure Engineer to manage and secure scalable cloud environments. This role requires hands-on AWS experience, strong system admin skills, and automation expertise. If you’re certified, skilled in modern cloud tooling, and ready to work in a dynamic tech environment, we’d love to connect with you.

InfoGrowth is looking for a skilled Android Automotive OS Developer with 7+ years of experience in the automotive domain to join our cutting-edge team! If you're passionate about integrating technology with automotive systems and developing next-gen in-car infotainment solutions, this is the role for you.

Key Responsibilities:

• Develop and maintain applications for Android Automotive Operating System (AAOS), the Android-based infotainment system built directly into vehicles.
• Collaborate with automotive partners to integrate and optimize Google Automotive Services (GAS), including Google Maps, Play Store, and Google Assistant.
• Leverage your knowledge of vehicle signals and communication protocols to ensure smooth integration and performance of in-car apps.
• Work closely with cross-functional teams to deliver high-quality infotainment solutions for next-generation vehicles.
• Troubleshoot and optimize Android applications for automotive-specific use cases.

Key Skills:

• 7+ years of experience in Android development, with hands-on experience in the automotive domain.
• Strong knowledge of Android Automotive OS (AAOS) and Google Automotive Services (GAS).
• Expertise in vehicle signals and communication protocols.
• Proven experience in developing apps for in-car infotainment systems.
• Ability to collaborate with automotive engineers, testers, and designers to develop seamless solutions.

Project Role : Application SAP Enterprise Portal

Project Role Description :

Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have Skills : SAP Enterprise Portal Architecture, SSI:  NON SSI:

Good to Have Skills :SSI: No Function Specialization NON SSI :

Job Requirements :

Key Responsibilities : A Perform Operations support for SAP Desktop B Manage incidents within SLA C Engage in Portal upgrades and Enhancements D SAP UI5 developments with upskilling E Testing/Weekend support for Cutovers /mocks etc

Technical Experience :

Should have 6 yrs relevant exp and 1 E2E implementation exp.

A Resource has worked on End to end Development projects in SAP Portal B Good to have knowledge in Web dynpro Java C Experience in Portal Content Administration iViews, Worksets, Groups, Roles and role-based content SAP Knowledge Management D Experience in all phases of SDLC Requirements, analysis, development, testing E SAP Fiori Good to have skill F Display analytical skills for fit gap analysis for migrations, Upgrade Professional Attributes :

Candidate must be flexible to work from client location- Jabalpur

A Good communication skill in English B Good analytical skill C Experience in managing the team and the delivery Educational Qualification:

A Regular 15-year full time education B Software Engineering degree

• Must have knowledge in Angular or React frontend and Node JS
• Write reusable, testable, efficient code
• Knowledge of creating front-end applications using HTML5, CSS, and Javascript.
• Candidates should have Knowledge of recent Angular versions and should be comfortable working independently.
• Should have working experience with database modeling, ability to plan DB schema and write queries with ease(MongoDB, MYSQL, Redis)
• Implementation of security and data protection
• Comfortable working with Git/Github
• Ability and willingness to manage multiple projects and tasks.