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Devkraft Technologies  Reviews by Employees

Senior Software Engineer

Software Engineer

Job Description : We are seeking a skilled CloudOps Engineer to manage and optimize our multi-cloud infrastructure. The ideal candidate will have experience with Azure and AWS, with additional knowledge of GCP considered a plus. This role involves implementing cost-effective strategies, ensuring system reliability, and maintaining security compliance across various projects. Responsibilities - Oversee and maintain cloud infrastructures across Azure and AWS platforms, ensuring high availability and scalability. - Implement Infrastructure as Code (IaC) practices using tools like Terraform or CloudFormation for consistent and repeatable deployments. - Implement strategies such as auto-scaling, scheduling, and resource utilization to reduce infrastructure costs. - Monitor and analyze cloud spending, providing recommendations for cost savings. - Set up and manage monitoring tools like Grafana, Prometheus, Loki, and Thanos to ensure system health and performance. - Integrate logging and alerting mechanisms for proactive issue detection and resolution. - Ensure systems meet security standards and compliance requirements, including SOC 2 Type 1 & 2 and GDPR. - Implement Identity and Access Management (IAM) best practices, enforcing the principle of least privilege and multi-factor authentication (MFA) across all platforms. - Conduct regular security audits and vulnerability assessments, integrating findings into continuous improvement processes. - Utilize Kubernetes and Helm charts for deploying applications in both development and production environments. Qualifications : - Bachelors degree in Computer Science, Information Technology, or a related field. - Proficiency in managing cloud services on Azure and AWS; experience with GCP is a plus. - Strong knowledge of Kubernetes, Helm, and containerized deployments. - Experience with monitoring tools (Grafana, Prometheus, Loki) and alerting systems. - Familiarity with security compliance frameworks and tools, including SOC 2, GDPR - Knowledge of Zero Trust security models and their implementation in cloud.

Anywhere in India/Multiple Locations

CloudOps Engineer - Azure/AWS Platform (2-4 yrs)

Experience : 3+ Job Description : - Developing new user-facing features using React.js and Experienced in Angular/React or any JS frame work, Node.js , React Native, hands on experience with DB ( Mongo DB , Postgres , etc. ) - Building reusable components and front-end libraries for future use - Translating designs and wireframes into high quality code - Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model - Thorough understanding of React.js and its core principles - Knowledge on popular React.js workflows (such as Flux or Redux) - Familiarity with newer specifications of EcmaScript - Knowledge on data structure libraries (e.g., Immutable.js) - Familiarity with RESTful APIs - Knowledge of modern authorization mechanisms, such as JSON Web Token - Familiarity with modern front-end build pipelines and tools - Experience with common front-end development tools such as Babel, Webpack, NPM, etc. - Ability to understand business requirements and translate them into technical requirements - A knack for benchmarking and optimization - Familiarity with code versioning tools such as Git, SVN, and Mercurial About Devkraft : Devkraft is pioneer in delivering digital technology solutions with deep expertise in cloud, mobile and RPA and AI/analytics solutions. Devkraft brings technology edge to enterprise and startups across sector through its deep digital skills coupled with differentiated client engagement models. Devkraft Product team on Demand is group of driven folks with varied background delivering next-gen products. Devkraft offers unique opportunity to work on cross functional projects developing deeper skills on cognitive technologies for next-gen API.

Others

Technical Lead (6-10 yrs)

Key Responsibilities : 1. Project Leadership : - Lead the project team to deliver agreed outputs and outcomes. - Act with integrity and promote ethical practices in all stakeholder and team interactions. 2. Project Team Management : - Manage the project team on a daily basis, appropriate to the project's context and stage. - Define and delegate team and stakeholder roles and responsibilities. - Inspire, empower, and foster innovation within the team. 3. Business Case & Benefits Management : - Support project sponsor in the development, approval, and refinement of business cases. - Track and report against forecasted and actual benefits, costs, and risks. - Ensure outputs meet business/programme requirements for realisation of benefits. 4. Budget and Cost Management : - Manage and control project budgets, including forecasts, cost changes, and reporting of actuals. 5. Governance : - Establish and maintain effective project governance frameworks. - Define clear roles and accountabilities aligned with organizational policies. 6. Project Planning and Controls : - Design and document key project elements including scope, schedule, resources, budgets, risks, and quality standards. - Implement change control and configuration management as needed. 7. Scheduling & Dependency Management : - Develop and maintain project schedules, accounting for dependencies and constraints. - Coordinate across projects and business units to manage interdependencies and resolve conflicts. 8. Resource Management : - Plan and manage resource allocation (excluding financial resources) throughout the project lifecycle. - Engage and schedule external resources where required. 9. Stakeholder & Communication Management : - Identify and manage stakeholder relationships and communication strategies. - Ensure alignment with programme and organizational communication practices. - Address and resolve conflicts among stakeholders when they arise.

Bangalore

Mumbai

Project Manager (12-14 yrs)

Title : GEN AI Developer Location - Remote Responsiblites - Has worked on enterprise level (Gen)AI applications with Python (must have) - Comfortable with prompting strategies (must have) - Experience working with GPT APIs (must have) - Has experience using Langchain, Langraph (nice to have) - Has experience working on AWS managed services as AWS Cloud engineer (must have) - Experience working with API development and deployment (must have) - Good understanding of API optimization for scaling and concurrent usage (nice to have) - Deep understanding on RAG and advanced-RAG techniques (nice to have) - Comfortable to implement light changes in Streamlit/JS/React and similar UI frameworks (must have) - Used to work in agile setup (i.e. Jira, Azure DevOps)

Remote

Generative AI Developer - Python/GPT (5-10 yrs)

Title : Data Scientist Location : Remote Duration : 2 months Key Responsibilities : - Design and develop advanced Generative AI solutions using OpenAI, Gemini, Grok, and open-source models (e.g., LLaMA, Gemma, Hugging Face Transformers). - Build and fine-tune custom LLMs using frameworks like Transformers, LangChain, or PEFT. - Leverage LangChain and LlamaIndex to build modular, retrieval-augmented generation (RAG) pipelines and dynamic knowledge-based systems. - Develop intelligent, multi-agent systems using LangGraph and Autogen frameworks to support complex workflows. - Apply prompt engineering strategies to optimize responses for various use cases. - Create and fine-tune custom NLP/ML/DL models using PyTorch, TensorFlow, or Scikit-learn. - Deploy models using Azure Machine Learning services, AWS AI/ML services, and integrate them into production environments. - Build, expose, and manage RESTful APIs to deliver AI services to end-user applications. - Handle both SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cosmos DB). - Use Git, Azure DevOps, and CI/CD pipelines for code versioning, collaboration, and deployment workflows. - Collaborate with cross-functional teams including product managers, data engineers, and frontend/backend developers. - Analyze, visualize, and interpret data for actionable insights using tools like pandas, seaborn, matplotlib. - Continuously evaluate and test models for accuracy, fairness, and bias. - Support the AI/ML lifecycle, from experimentation to production, including monitoring, evaluation, and retraining. Required Skills : - Programming Languages : Python (mandatory), basic Bash/CLI scripting - ML/DL Frameworks : Scikit-learn, TensorFlow, PyTorch, Hugging Face - Generative AI Tools : OpenAI APIs, Gemini, Grok, LangChain, LlamaIndex, Hugging Face Transformers - Prompt Engineering : Expertise in crafting prompts for various LLMs - Databases : SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cosmos DB) - API Development : Flask - Version Control : Git, GitHub/GitLab, Azure DevOps - Cloud Services : Azure (AI Services, Azure ML), AWS (SageMaker, Comprehend, Bedrock, etc.) - Deployment & Monitoring : Azure ML endpoints, AWS Lambda/SageMaker, Azure Machine learning studio, AWS bedrock Good to Have : - Experience with RAG (Retrieval-Augmented Generation) architecture - Knowledge of vector databases (e.g., FAISS, ChromaDB, Pinecone) - Familiarity with containerization using Docker and cloud-based deployment - Exposure to streaming or real-time inference - Understanding of Responsible AI practices

Data Science Engineer - Generative AI Solutions (1-3 yrs)

Key Responsibilities : - Architect and implement end-to-end AWS cloud solutions leveraging services such as EC2, ECS/EKS, Lambda, API Gateway, RDS/Aurora, S3, CloudFront, and VPC to support scalable and resilient applications. - Define cloud infrastructure blueprints and automation pipelines using Infrastructure as Code (IaC) tools like Terraform, AWS CloudFormation, or AWS CDK for repeatable and auditable deployments. - Establish security architecture frameworks by implementing least-privilege IAM policies, encryption standards (KMS), network segmentation (VPC/Subnet/NACL/Security Groups), and compliance monitoring via AWS Config and GuardDuty. - Optimize performance, cost, and operational efficiency through advanced monitoring (CloudWatch, X-Ray), auto-scaling strategies, and cost analysis tools like AWS Cost Explorer and Trusted Advisor. - Lead architectural reviews and hands-on collaboration with development, DevOps, and data engineering teams to integrate AWS services into CI/CD pipelines, containerized workloads, and event-driven architectures.

Pune

AWS Lead/Architect - IAC Terraform (8-12 yrs)

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