Job Title: DevOps Intern Location:(work from office) jaipur,Rajasthan Start Date: [Immediate joiner] About Us: We are a dynamic and innovative IT company, icore.sg, specializing in cutting-edge technology solutions. Our team is dedicated to providing high-quality services to our clients worldwide. We are currently seeking a talented and experienced DevOps Engineer to join our team on a freelance basis. Job Description: We are looking for a DevOps Intern to assist our engineering team in automating, deploying, and maintaining cloud infrastructure and CI/CD pipelines. This is a great opportunity to gain hands-on experience with modern DevOps tools, cloud platforms, and best practices in software deployment. Responsibilities: Assist in building and maintaining CI/CD pipelines for automated deployments. Support cloud infrastructure setup and management (AWS, Azure, GCP, etc.). Work with containerization tools like Docker and Kubernetes. Monitor system performance and troubleshoot issues. Write automation scripts using Bash, Python, or other scripting languages. Collaborate with development and operations teams to improve deployment efficiency. Learn and implement best security practices for cloud and DevOps workflows. Document processes and contribute to internal knowledge bases. Requirements: Basic understanding of Linux, networking, and system administration. Familiarity with any cloud platform (AWS, Azure, GCP) is a plus. Some experience with CI/CD tools like Jenkins, GitHub Actions, or GitLab CI/CD. Knowledge of Docker and Kubernetes is a bonus. Basic programming/scripting skills (Python, Bash, etc.). Strong problem-solving and analytical skills. Eagerness to learn and adapt to new technologies. Good communication and teamwork skills. Preferred Qualifications: Hands-on experience with version control (Git). Basic knowledge of infrastructure as code (Terraform, Ansible, or CloudFormation). Exposure to monitoring/logging tools (Prometheus, Grafana, ELK Stack). What You’ll Gain: Real-world DevOps experience in a fast-paced environment. Exposure to cloud computing and automation tools. Mentorship from experienced DevOps engineers. Potential for a full-time opportunity based on performance. How to Apply: Send your resume and a short cover letter to HR@ICore.sg with the subject "DevOps Application - [Your Name]" or whatsapp at 9829285740. Show more Show less

Key Responsibilities: Design and develop a modular, scalable AI platform to serve foundation model and RAG-based applications. Build pipelines for embedding generation , document chunking , and indexing . Develop integrations with vector databases like Pinecone , Weaviate , Chroma , or FAISS . Orchestrate LLM flows using tools like LangChain , LlamaIndex , and OpenAI APIs . Implement RAG architectures to combine generative models with structured and unstructured knowledge sources. Create robust APIs and developer tools for easy adoption of AI models across teams. Build observability and monitoring into AI workflows for performance, cost, and output quality. Collaborate with DevOps, Data Engineering, and Product to align platform capabilities with business use cases. Core Skill Set: Strong experience in Python, with deep familiarity in ML/AI frameworks (PyTorch, Hugging Face, TensorFlow). Experience building LLM applications , particularly using LangChain , LlamaIndex , and OpenAI or Anthropic APIs . Practical understanding of vector search , semantic retrieval , and embedding models . Familiarity with AI platform tools (e.g., MLflow, Kubernetes, Airflow, Prefect, Ray Serve). Hands-on with cloud infrastructure (AWS, GCP, Azure) and containerization (Docker, Kubernetes). Solid grasp of RAG architecture design , prompt engineering , and model evaluation . Understanding of MLOps, CI/CD, and data pipelines in production environments. Preferred Qualifications: Experience designing and scaling internal ML/AI platforms or LLMOps tools. Experience with fine-tuning LLMs or customizing embeddings for domain-specific applications. Contributions to open-source AI platform components. Knowledge of data privacy, governance, and responsible AI practices. What You’ll Get: A high-impact role building the core AI infrastructure of our company. Flexible work environment and competitive compensation. Access to cutting-edge foundation models and tooling. Opportunity to shape the future of applied AI within a fast-moving team. Show more Show less

Role Description Position: Python Developer - (2+ years) Type: Full-time Location: Hyderabad Qualifications 2+ years of experience as a Python Developer Strong proficiency in Python, with a good understanding of its ecosystems Experience with Python web frameworks such as Django or Flask Familiarity with front-end technologies (HTML, CSS, JavaScript) Experience with SQL and relational databases Understanding of code versioning tools such as Git Ability to work independently and collaboratively in a team Excellent problem-solving skills and attention to detail Additional qualifications and skills that would be beneficial: Experience with cloud platforms such as AWS or Azure Knowledge of containerization and orchestration tools such as Docker and Kubernetes Understanding of Agile development methodologies Knowledge of other programming languages such as Java or C++ If you are a talented Python Developer with a passion for coding and a desire to work in a dynamic and collaborative environment, we would love to hear from you! Show more Show less

Job Description Job Title: Sr. DevOps Engineer - Hyderabad Candidate Specification: Minimum 10 to 15 Years of Experience. Job Description Experience in DevOps Engineer - Manual Testing and Web Application tester Hands-on experience with DevOps tools like Jenkins, Docker, Kubernetes, Git, and artifact repositories. Familiarity with cloud platforms (AWS, Azure, or GCP). Experience in containerization (Docker, Kubernetes) and CI/CD tools. Exposure to test automation frameworks (e.g., Selenium, Postman for API testing) Collaborate with QA teams to plan, execute, and document manual test cases Skills Required RoleSenior Devops Engineer - Contract Hiring Industry TypeIT/ Computers - Software Functional Area Required Education Bachelor Degree Employment TypeFull Time, Permanent Key Skills MANUAL T ESTING WINDOWS APPLICATION TESTER Other Information Job CodeGO/JC/317/2025 Recruiter NameChristopher Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job – no more, no less. Built on a foundation of AI and ML, our Identity Security Cloud Platform, Atlas delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise. The Senior Incident Commander will be a key player on the Infrastructure and Platform Services team servicing the Identity Security Cloud platform. You will proactively work with Engineering, Product, Services, and other functional departments to implement and operate our global customer-facing SaaS infrastructure. The ideal candidate will be a self-starter who enjoys a fast-paced job, thrives on problem solving, and is committed to delivering seamless product availability to large enterprises around the world. Responsibilities: Must be willing to be part of an on-call rotation Automate deployment, monitoring, management and incident response Develop and improve operational practices and procedures Lead resolution of critical incidents in a timely manner, using effective communication and problem-solving skills to minimize impact and risk. Develop and maintain incident response plans, including communication plans, escalation procedures, and crisis management protocols. Work closely with Engineering, Product and Customer facing leaders & teams to facilitate an Incident and Problem Management program. Participate in team on-call rotation to run point as an Incident Commander for any incident that arises during your shift. Oversee blameless post-mortem analysis of incidents, capturing actions items to prevent future issues. Review incident trends and analyze patterns for review by senior engineering leadership. Produce and conduct training exercises for engineering teams to learn incident management protocols. Background & Experience: 5+ years experience in 24x7 production operations, preferably supporting a highly available environment for a SaaS or cloud service provider 3 to 5 years experience leading incident response efforts Experience with ticketing systems like Jira, Remedy, or ServiceNow Experience with cloud infrastructure environments, preferably AWS Experience with containerization technology, preferably Docker Experience leading RCA (Root Cause Analysis) / Post Mortems Experience with Java applications and related J2EE technology stack Release automation (Jenkins, etc), system administration, system configuration, and system debugging experience Experience working with tools like Grafana, Splunk, Prometheus, and Confluence Experience using scripting languages (Ruby, Python, etc), configuration management tools (Chef, Puppet, etc) and command execution frameworks Strong understanding of system and networking concepts and troubleshooting techniques Strong interpersonal and teaming skills - ability to set and enforce process and influence engineers who are not direct reports. Ability to operate in an agile, entrepreneurial start-up environment. Great communication skills – C1 or better English fluency Education: Bachelor's degree in Computer Science or other technical discipline, or equivalent experience, preferred not required SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact hr@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. Show more Show less

Company Description Punctuations is a fast-growing AI-focused technology company that specializes in chatbot development, AI vision, and content generation using large language models (LLMs). Our mission is to empower clients through intelligent automation and data-driven solutions. We are a team of engineers and innovators who thrive on solving complex problems and delivering measurable impact. Role Description We are seeking a highly skilled Java Software Engineer to join our on-site team in Vasai (Mumbai). This is a full-time position for a candidate who is passionate about backend development, architecture design, and delivering scalable solutions. You will be responsible for leading Java-based development efforts, collaborating with cross-functional teams, and mentoring other developers. Requirements 3+ years of professional experience in Java development Strong expertise in Spring Boot , JPA , and Microservices architecture Proficiency in Java 19 or higher Hands-on experience integrating with external APIs Experience with Elasticsearch for full-text search and analytics use cases Solid understanding of SQL and hands-on with PostgreSQL or similar RDBMS Excellent problem-solving skills and attention to detail Strong communication skills and ability to work independently Nice to Have Exposure to containerization (Docker, Kubernetes) Basic understanding of cloud platforms like Azure or AWS If you're a motivated individual who is passionate about building high-quality software and wants to work in a collaborative and innovative environment, we would love to hear from you. If you prefer to email your CV, please send it to careers@punctuations.ai . Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

Hello ! You've landed on this page, which means you're interested in working with us. Let's take a sneak peek at what it's like to work at Innovaccer. Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world. About the Role We at Innovaccer are looking for a Senior Staff Engineer (Applications) to build the most amazing product experience. You’ll get to work with other engineers to build delightful feature experiences to understand and solve our customer’s pain points.We are looking for a Staff Engineer with hands-on experience in building applications and services using Python. A Day in the Life You are able to develop and drive a high-level strategy, as well as to take a hands-on approach to implementing that strategy Building efficient and reusable applications and abstractions Identify and communicate back-end best practices Participate in the project life-cycle from pitch/prototyping through definition and design to build, integration, QA and delivery Analyze and improve the performance, scalability, stability, and security of the product Improve engineering standards, tooling, and processes Provide technical leadership and direction for software development projects. Define the architectural vision and strategy in alignment with business goals and mentor and guide development teams to ensure the successful implementation of solutions. Design and architect scalable, robust, and high-performance software solutions using Python and React and conduct architectural reviews and ensure compliance with technical standards. Conducting code reviews, mentoring junior engineers, and staying updated with emerging technologies What you will do 8+ years of experience with a start-up mentality and high willingness to learn Expert in Python and experience with any web framework (Django, FastAPI, Flask etc) UI/web development experience will be a plus. Application architecture and solution design. Worked on large scale B2C/ B2B SaaS. Aggressive problem diagnosis and creative problem-solving skill Expert in Kubernetes and containerization Experience in RDBMS & NoSQL database such as Postgres, MongoDB, (any OLAP database is good to have) Strong experience in cloud computing platforms like Amazon Web Services and Azure Bachelor’s degree in Information Technology/Computer Science/Computer Engineering Applied AI experience We offer competitive benefits to set you up for success in and outside of work. Here's what we offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industry's best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your child's well-being first. *India offices Where and how we work Our Noida office is situated in a posh techspace, equipped with various amenities to support our work environment. Here, we follow a five-day work week schedule, allowing us to efficiently carry out our tasks and collaborate effectively within our team.Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

Company Overview With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we’re only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on. At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all. Here, we know that you’re more than your work. That’s why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose — a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you’re passionate about our purpose — people —then we can’t wait to support whatever gives you purpose. We’re united by purpose, inspired by you. About The Role UKG is looking for a highly skilled Lead Software Engineer who will take a leadership role in our engineering team. As our primary DevOps expert, you will be responsible for designing and implementing scalable, reliable, and secure infrastructure solutions, as well as leading and mentoring other members of the DevOps team. Your extensive knowledge of Terraform and Ansible, coupled with your expertise in cloud technologies, will be instrumental in shaping our infrastructure and deployment strategies. Duties And Responsibilities Lead the design, implementation, and management of our cloud infrastructure using Terraform, ensuring best practices for scalability, resiliency, and security Develop and maintain highly efficient Ansible playbooks and establish configuration management best practices Provide technical leadership and mentorship to the DevOps team, fostering a culture of continuous learning and improvement Collaborate with cross-functional teams to ensure the smooth integration and deployment of applications Optimize infrastructure performance, monitoring ongoing operations, and implementing proactive solutions for issues and bottlenecks Establish and maintain CI/CD pipelines, designing and implementing automated testing and release processes Evaluate and recommend new tools and technologies to enhance the DevOps workflow and improve efficiency Act as a subject matter expert for DevOps practices, staying up to date with the latest industry trends and best practices About You Basic Qualifications: Proven experience as a Lead DevOps Engineer, leading the design and implementation of complex and scalable infrastructures Extensive expertise in Terraform and Ansible, with a deep understanding of their capabilities and best practices Strong knowledge of cloud platforms (AWS, Azure, or GCP) and proficiency in designing and managing cloud resources Excellent scripting and automation skills using languages like Python, Bash, or PowerShell Proven ability to lead and mentor a team, fostering a collaborative and high-performance culture. Ability to troubleshoot and resolve complex infrastructure issues in production environments Preferred Qualifications In-depth knowledge of containerization technologies such as Docker and orchestration tools like Kubernetes. Solid understanding of networking concepts, security principles, and infrastructure hardening practices. Experience with CI/CD tools like GitHub Actions, Jenkins, GitLab CI/CD, or CircleCI Preferred certifications in Terraform and/or Google Cloud Platform (GCP) Exceptional problem-solving and communication skills, with the ability to effectively collaborate with cross-functional teams Bachelor's or master's degree in computer science, engineering, or a related field Where we’re going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet it’s our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application and interview process, please email UKGCareers@ukg.com Show more Show less

As a DevOps Fresher at Arcitech AI, you will play a crucial role in the company's advancements in the industry. This entry-level position offers the opportunity to work on technical challenges and contribute to the professional growth of the company. Key Responsibilities: Assist in configuring and maintaining AWS infrastructure including VPC, EC2, S3, Lambda, IAM, CloudWatch, etc Support in building and managing CI/CD pipelines using tools like Jenkins, GitHub Actions, or AWS CodePipeline Write basic Bash/Shell/Python scripts for automation tasks Learn and work on Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation Monitor system health and performance using CloudWatch, Grafana, or similar tools Collaborate with developers and senior DevOps engineers to understand application deployment requirements Participate in team meetings, daily stand-ups, and knowledge-sharing sessions. Requirements Required Skills: Basic knowledge of AWS services VPC, EC2, S3, Lambda, IAM, CloudWatch, etc Understanding of Linux/Unix operating systems Familiar with version control systems like Git, GitHub Exposure to CI/CD tools (e.g., Jenkins, AWS Codepipeline etc) is a plus Basic scripting skills (Shell, Bash, or Python) Willingness to learn containerization tools like Docker and orchestration tools like Kubernetes. Qualifications Bachelor's degree in Computer Science or related field 3 months to 1 years of experience in a similar role Show more Show less

Job title : Sr. Python Developer Company Name : CereBulb (India) PVT. LTD. Location : Gift City, Gandhinagar Industry : Information Technology & Services What we do : CereBulb transforms organizations by harnessing the power of the people, process, and technology in their digital transformation. We use our experience and extensive knowledge of Enterprise Solutions and the Industrial Internet of Things to accelerate our journey to success. We help constructively from strategy building, and resource allocation to implement the disruptive AI-based solution in various heavy equipment utilization intensive industries such as Oil & Gas, IT & Telecom, Automotive, Manufacturing, Energy, Metals and Mining, Power Industry (Solar, Wind, Thermal, Hydro). We're Hiring : We’re looking for Backend Engineers to join our development team. As a backend engineer, you will be pivotal in shaping and building solutions that drive digital innovation across industries. Key Skills & Experience: Proven 3 years of experience required in developing and deploying backend solutions using Python, Django, or Flask. Strong understanding of database design and RESTful API architecture. Experience with cloud technologies, particularly AWS. Familiarity with containerization and orchestration (Docker, Kubernetes) is a plus. React.js knowledge is a bonus, but not required. Working on large-scale, high-performance applications. Ensuring the scalability, security, and performance of applications. Collaborating with cross-functional teams, including front-end engineers, product managers, and designers. Utilizing AWS Cloud technologies to deploy and manage solutions. Why Join Us? Innovation-driven: Work at the forefront of Industry 4.0 with cutting-edge Industrial IoT solutions. Collaborative Culture: Be part of a dynamic, cross-functional team that values knowledge-sharing and continuous learning. Career Growth: Whether you’re an experienced engineer or a fresh graduate, we’re committed to helping you grow your career with hands-on learning, mentorship, and new challenges. Flexible Work Environment: Work from the office, remotely, or a hybrid model — we value results over location. Benefits: Fantastic company culture. No politics. Just pure work and play! Very approachable and helpful to seniors and peers. Get a chance to shape your career in one of the fastest-growing and most dynamic spaces. Lots of creative freedom! Lots of fun at the workplace. Frequent fun activities to make work even more enjoyable :) Additional Information: · Type: Full-time · Functions: Consulting, Information Technology · Industries: Chemicals, Oil & Energy, Pharma Job Types: Full-time, Permanent Schedule: Day shift Monday to Friday Show more Show less

Dear Candidate, We are looking for a Cloud DevSecOps Engineer to embed security across the CI/CD pipeline and automate the enforcement of security controls in cloud environments. Key Responsibilities: Integrate security tools into DevOps pipelines (SAST, DAST, IaC scanning). Automate security policies using tools like Sentinel, OPA, or Azure Policy. Implement least-privilege IAM, secrets management, and audit logging. Ensure compliance with cloud security frameworks (CIS, NIST, ISO 27001). Work with developers, security teams, and platform engineers. Required Skills & Qualifications: Hands-on experience with CI/CD tools (GitHub Actions, GitLab CI, Jenkins). Proficiency in IaC and security tools (Terraform, Checkov, Prisma Cloud, Aqua). Knowledge of cloud security (AWS, Azure, or GCP). Familiarity with container security (Kubernetes, Docker, Falco). Security certifications (e.g., CCSP, AWS Security Specialty) are a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

AWS + Linux Cloud Engineer Experience: 6+ years Location : Hyderabad Be a key contributor in managing and implementing the solutions for hybrid cloud-based infrastructure (Compute, Database, Networking, Storage, IAM and Security etc.) on AWS Cloud and GCP About the role: Manage and implement the solution across all AWS services (IaaS/PaaS/ /Database/ Serverless). Be well versed in taking teams from legacy to modern architecture in production. Ability to learn & master new services (skillsets) on AWS cloud. Able to work in a fast paced and dynamic environment and achieve results amidst constraints. Detailed knowledge of AWS. Knowledge of IaC (Terraform). Develop, coordinate, and administrate AWS infrastructure. Automate deployments_ infrastructure as code. Have knowledge of containerization (Kubernetes, Docker), troubleshooting and support tasks. Strong understanding of Network and Security Strong background in Linux/Unix administration Technical Requirements (must): In depth understanding of Cloud Architecture & ability to advise/work on end-to-end cloud infrastructure. Hands-on experience of working on AWS cloud platform (6+ years). Proven experience in managing AWS cloud platform. Skills on services (IaaS/PaaS/ Serverless) offered by AWS and their use case. Experience with AWS Managed Services (Compute/Containers/Storage/Lambda’s/IAM/ so on) Experience with AWS Networking & Security and their underlying technologies (VPC, Direct Connect, VPN SCP policies, Guardduty so on) Network configuration of Firewalls, route table, VPN and Load Balancers Troubleshooting and resolving AWS cloud related issues Following ITIL processes (Incident, Change and Problem Management) Understanding of Active Directory and SSO to AWS Console Proven experience working in an Agile/Scrum environment. Good communication & presentation skills. Willingness to work 24x7 rotational shifts/Weekends based on project requirement Strong technical problem-solving skills and experience in IP networking and static routing FTP, SSH, SMTP, DNS, HTTP/S, DHCP Maintenance of multiple Linux systems, including patching & upgradation Ability to work with cross functional teams and be a team player Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

Roles and Responsibilities: Translating business requirements into analytical solutions Do hands-on data analysis, using statistical techniques Design and implement AI/ML solutions using advanced frameworks and technologies, ensuring scalability, efficiency, and alignment with business goals. Develop and optimize GenAI frameworks like AutoGen, and NLP models tailored to specific use cases. Build and deploy production-ready RAG (Retrieval-Augmented Generation) systems, chatbots, and other AI-driven applications using OpenAI APIs, Ollama, Llama, and llamaparse. Leverage Azure cloud services along with event-driven architecture in Python, to deliver high-performing AI solutions. Apply advanced prompt engineering techniques, including Chain of Thought (CoT) prompting, for enhancing AI model interactions. Use Docker effectively, including executing Docker commands for containerization and deployments in cloud environments. Ensure solutions adhere to best practices in system design, addressing trade-offs, security, performance, and efficiency. Performs code reviews and regression tests as well as triages and fixes issues to ensure the quality of code. Collaborates with others inside the project team to accomplish project objectives. Lead a lean team of senior and associate software engineers and data scientists. Communicate complex technical concepts effectively to both technical and non-technical stakeholders. Qualifications: Bachelor’s/Master’s degree in Engineering, Information Systems, Statistics, Math, Computer Science or related field and 6+ years of engineering work experience. 5+ years of hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and programming in Python. Proficiency in Python (mandatory). Skill Set; NLP, NLU, NLI Experience working with both structured and unstructured data. Demonstrated experience with RAG systems, chatbot development, and working with GenAI technologies like LLM fine-tuning and OpenAI APIs. Deep understanding of Autogen components and advanced NLP techniques. Familiarity with best practices in system design, including security, performance optimization, and scalability. Show more Show less

We’re Hiring: Senior Java Architect Location: Only Hyderabad -Hybrid 3 Days to Office Experience: 11+ years NP: Immediate -Immediate Joiners -15 Days Only Required Skills: Programming Languages: Proficiency in Java. Web Development: Experience with SOAP and RESTful services. Database Management: Strong knowledge of SQL (Oracle). Version Control: Expertise in using version control systems like Git. CI/CD: Familiarity with CI/CD tools such as GitLab CI and Jenkins. Containerization & Orchestration: Experience with Docker and OpenShift. Messaging Queues: Hands-on IBM MQ and Apache Kafka. Cloud Services: Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Adept working experience in design and development of performance efficient ETL flows dealing with millions of rows in volume. Must have experience working in SAFE Agile Scrum project delivery model. Good at writing complex SQL queries to pull data out of RDBMS databases like Oracle, SQL Server, DB2, Teradata, etc. Good working knowledge of Unix scripts. Batch job scheduling software such as CA ESP. Experienced in using CI/CD methodologies. Required Experience Must have 11 - 13 years of hands-on development experience Extensive experience developing and maintaining API’s Experience managing and/or leading a team of developers. Working knowledge of Data Modelling, solution architecture, normalization, data profiling etc. Adherence to good coding practices, technical documentation, and must be a good team player. Show more Show less

We are seeking a talented and motivated DevOps Engineer with strong expertise in Azure and AWS Cloud environments. This individual will be responsible for automating infrastructure provisioning, deployment pipelines, version control, and continuous integration/continuous deployment (CI/CD) processes. You will leverage your knowledge of ARM Templates, BiCep Templates, CloudFormation, and CDK to optimize and manage infrastructure. The ideal candidate will also be proficient in scripting and automation tools, such as Python and/or .NET, and have a strong understanding of versioning practices. Key Responsibilities: Design, implement, and manage infrastructure-as-code (IaC) using tools such as ARM Templates, BiCep Templates, AWS CloudFormation, and CDK (with Python or .NET). Develop and maintain CI/CD pipelines to automate code deployments and application updates on Azure and AWS Cloud platforms. Work closely with development, operations, and security teams to ensure seamless integration, automated testing, and smooth application deployment. Manage and provision cloud resources on Azure and AWS using native and third-party tools. Implement version control strategies to maintain source code and configuration in Git repositories. Monitor cloud environments for performance, security, and reliability, troubleshooting and resolving issues as they arise. Ensure cloud infrastructure is secure, compliant with organizational standards, and continuously optimized for cost-efficiency. Collaborate with cross-functional teams to enhance the deployment process and improve system reliability. Provide support and guidance for cloud infrastructure upgrades, scaling, and disaster recovery planning. Required Skills and Qualifications: Proven experience as a DevOps Engineer or similar role with a strong background in cloud platforms (Azure and AWS). Expertise in Infrastructure-as-Code (IaC) using tools such as ARM Templates, BiCep Templates, AWS CloudFormation, and CDK (Python and/or .NET). Strong experience with CI/CD pipelines and version control tools (Git, GitHub, GitLab, etc.). Proficiency in cloud automation and orchestration frameworks and tools. Experience working with Azure DevOps, Jenkins, Terraform, or similar CI/CD tools. Knowledge of scripting languages such as Python, Bash, or PowerShell. Understanding of containerization technologies such as Docker and orchestration tools like Kubernetes. Familiarity with monitoring tools and cloud resource management (e.g., Azure Monitor, AWS CloudWatch). Strong knowledge of cloud security best practices and governance. Excellent problem-solving, troubleshooting, and debugging skills. Familiarity with Agile and DevOps methodologies. Ability to work independently and collaborate effectively in a team-oriented environment. Preferred Skills: Experience with serverless architecture and platforms like AWS Lambda or Azure Functions. Knowledge of Microsoft PowerShell and Azure CLI. Exposure to database management in cloud environments (SQL, NoSQL, etc.). Experience with cloud cost management and optimization tools. Familiarity with GitOps principles. Show more Show less

Job Description : Roles and Responsibilities: Design, develop, and maintain Scala-based microservices Build scalable and reactive systems using Akka or LEGOM framework Implement real-time data pipelines with Apache Pulsar Develop and optimize data access using Slick Connector and PostgreSQL Build advanced search capabilities using ElasticSearch Work on containerized applications and deploy them using Kubernetes Set up and manage CI/CD pipelines using GitLab Collaborate with cross-functional teams to ensure on-time, high-quality deliveries Technical Skills: Strong hands-on experience with Scala Proficient in Akka or LEGOM framework Expertise in Microservices architecture and containerization Knowledge of Apache Pulsar for streaming Experience in PostgreSQL and Slick Connector for DB integration Proficient with ElasticSearch Familiarity with GitLab , CI/CD Pipelines , and Kubernetes (K8s) Excellent problem-solving and debugging skills Strong communication and collaboration abilities Job Type: Contractual / Temporary Location Type: In-person Application Question(s): How many years of experience do you have as a Lead? Are you comfortable for F2F Interview (If required)? Experience: P-SQL: 4 years (Required) Elasticsearch: 5 years (Required) Scala: 5 years (Required) Akka or LEGOM framework: 5 years (Required) Microservices: 5 years (Required) Location: Pune, Maharashtra (Required) Work Location: In person

Job Summary/Overview: We are seeking a highly experienced and skilled Senior GCP Data Engineer to design, develop, and maintain data pipelines and data warehousing solutions on the Google Cloud Platform (GCP). This role requires a strong understanding of data engineering principles and a proven track record of success in building and managing large-scale data solutions. The ideal candidate will be proficient in various GCP services and have experience working with large datasets. Key Responsibilities: * Design, develop, and implement robust and scalable data pipelines using GCP services. * Develop and maintain data warehousing solutions on GCP. * Perform data modeling, ETL processes, and data quality assurance. * Optimize data pipeline performance and efficiency. * Collaborate with other engineers and stakeholders to define data requirements and solutions. * Troubleshoot and resolve data-related issues. * Contribute to the development and improvement of data engineering best practices. * Participate in code reviews and ensure code quality. * Document technical designs and processes. Required Qualifications: * Bachelor's degree in Computer Science, Engineering, or a related field. * 7+ years of experience as a Data Engineer. * Extensive experience with GCP services, including BigQuery, Dataflow, Dataproc, Cloud Storage, and Cloud Pub/Sub. * Proven experience designing and implementing data pipelines using ETL/ELT processes. * Experience with data warehousing concepts and best practices. * Strong SQL and data modeling skills. * Experience working with large datasets. Preferred Qualifications: * Master's degree in Computer Science, Engineering, or a related field. * Experience with data visualization tools. * Experience with data governance and compliance. * Experience with containerization technologies (e.g., Docker, Kubernetes). * Experience with Apache Kafka or similar message queuing systems. Show more Show less

About the Role: We are looking for a Senior DevOps Engineer with a strong technical foundation and leadership capabilities to join our growing team. The ideal candidate will have architectural-level knowledge , team handling experience , and a proactive mindset to lead DevOps practices across the organization. Key Responsibilities: Design, implement, and manage scalable, secure, and high-performance cloud infrastructure. Lead and mentor a team of DevOps engineers to ensure effective delivery and problem-solving. Develop and maintain CI/CD pipelines for seamless deployment and automation. Collaborate with developers, QA, and product teams to align infrastructure needs with business goals. Monitor system performance and implement appropriate tuning. Ensure system reliability, availability, and compliance with security standards. Identify and adopt best practices in DevOps architecture, automation, and cost optimization. Required Skills and Experience: 7+ years of DevOps experience with strong architectural understanding. Hands-on experience with AWS , Azure , or GCP cloud platforms. Deep knowledge of CI/CD tools (e.g., Jenkins, GitLab CI/CD, CircleCI). Proficiency with containerization tools ( Docker , Kubernetes ). Infrastructure as Code (IaC) using Terraform , CloudFormation , or similar tools. Strong scripting skills (Bash, Python, or similar). Experience with monitoring and logging tools (Prometheus, Grafana, ELK, etc.). Excellent communication and leadership skills. Experience in handling and mentoring a DevOps team is a must. Show more Show less

It was nice visiting your profile in portal, One of our top MNC client has critical job position onArtificial Engineer (AI) for Pune Location Please Apply relevant Profiles Candidates Required Skill:Artificial Engineer (AI) Years of Experience:5 to 12 Years, CTC: Can be discussed Notice Period: Immediate Joiners or 15-20 Days or can be discussed Work Location: Pune Interview: Online Candidates should haveAI Experience Job Description About the Role: In this role, you will be at the forefront of developing and deploying cutting-edge AI solutions that directly impact our business. You will leverage your expertise in data and machine learning engineering, natural language processing (NLP), computer vision, and agentic AI, to build scalable and robust systems that drive innovation and efficiency. You will be responsible for the entire AI lifecycle, from data acquisition and preprocessing to model development, deployment, and monitoring. Responsibilities Data and ML Engineering: Design and implement robust data pipelines to extract, transform, and load (ETL) data from diverse structured and unstructured sources (e.g., databases, APIs, text documents, images, videos). Develop and maintain scalable data storage and processing solutions. Perform comprehensive data cleaning, validation, and feature engineering to prepare data for machine learning models. Build and deploy machine learning models for a variety of business applications, including but not limited to process optimization and enterprise efficiency. Web Scraping and Document Processing: Implement web scraping solutions and utilize document processing libraries to extract and process data from various sources. NLP and Computer Vision: Develop and implement NLP models for tasks such as text classification, sentiment analysis, entity recognition, and language generation. Implement computer vision models for image classification, object detection, and image segmentation. Agentic AI Development Design and develop highly scalable production-ready code for agentic AI systems. Implement and integrate agentic AI solutions into existing workflows to automate complex tasks and improve decision-making. Develop and maintain agentic systems for data wrangling, supply chain optimization, and enterprise efficiency projects. Work with LLMs, and other related technologies to create agentic workflows. Integrate NLP and Computer Vision capabilities into agentic workflows to enhance their ability to understand and interact with diverse data sources. Model Development And Deployment Design and develop machine learning models and algorithms to solve simplified business problems. Evaluate and optimize model performance through rigorous testing and experimentation. Deploy and monitor machine learning models in production environments. Implement best practices for model versioning, reproducibility, and explainability. Optimize and deploy NLP and computer vision models for real-time inference. Communication And Collaboration Clearly articulate complex technical concepts to both technical and non-technical audiences. Demonstrate live coding proficiency and effectively explain your code and design decisions. Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Document code, models, and processes for knowledge sharing and maintainability. Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, Computer Vision, or a related field. Proven experience in developing and deploying machine learning models, NLP models, and computer vision models, and data pipelines. Strong programming skills in Python and experience with relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas, NumPy, Hugging Face Transformers, OpenCV, Pillow). Experience with cloud computing platforms (e.g., AWS, GCP, Azure). Experience with database technologies (e.g., SQL, NoSQL). Experience with agentic AI development and LLMs is highly desirable. Excellent problem-solving and analytical skills. Product Engineering background Ability to demonstrate live coding proficiency. Experience in productionizing ML models. Preferred Qualifications Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Experience with MLOps practices and tools. Experience with building RAG systems. Experience with deploying and optimizing models for edge devices. Experience with video processing and analysis. This job is provided by Shine.com Show more Show less

We are seeking an experienced DevOps Engineer with strong Python development skills to join our team. In this role, you will be responsible for designing, implementing, and maintaining our cloud infrastructure, developing Python-based servers, and ensuring scalability across a multi-cloud environment. You will play a key role in developing scalable serverless solutions, automating deployment pipelines, and managing cloud environments (AWS, Azure, GCP). Working closely with both the development and operations teams, you will ensure the seamless integration, deployment, and maintenance of our PaaS/IaaS platform with 99% uptime. Key Responsibilities Design, develop, and maintain Custom Built Serverless systems for high-volume traffic and real-time processing. Architect, implement, and manage cloud infrastructure across AWS, Azure, and GCP for scalability and performance. Implement and manage container orchestration systems such as Kubernetes and ECS, ensuring optimal performance across cloud environments. Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi. Experience with building Serverless services using Batch and Jobs. Build, maintain, and optimize CI/CD pipelines for automated deployment and scaling of both serverless and containerized applications. Implement robust monitoring, logging, and alerting systems to ensure high availability, fault tolerance, and disaster recovery. Optimize cloud resource utilization for cost-effectiveness and performance improvements. Collaborate with development teams to integrate and manage APIs, microservices, and databases (SQL/NoSQL) in scalable environments. Ensure the security and compliance of our infrastructure and applications, applying cloud-native security best practices. Troubleshoot and resolve complex issues in both development and production environments. Stay current with industry trends and emerging technologies, especially in cloud, DevOps, and Python development. Contribute to open-source projects and represent the company at industry events and conferences. Required Qualifications Bachelor's degree in Computer Science, Engineering, or a related field. 3+ years of experience in DevOps, Cloud Engineering, or Python Development roles. Expertise in cloud platforms (AWS, Azure, GCP), with strong knowledge of their services, particularly for serverless, compute, and storage solutions. Proficient in Python development, with experience in building and maintaining Python servers and APIs. Advanced understanding of containerization (Docker) and orchestration systems (Kubernetes). Strong hands-on experience with Infrastructure as Code (Terraform, CloudFormation, Pulumi) and automation scripting. Proficiency in building, managing, and optimizing CI/CD pipelines using tools such as Jenkins, GitLab CI, or GitHub Actions. Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack) for troubleshooting and system insights. Solid understanding of cloud security, networking concepts, and security best practices in cloud environments. Excellent problem-solving skills, attention to detail, and ability to thrive in a fast-paced environment. Preferred Qualifications Experience with multi-cloud management and migration strategies across AWS, Azure, and GCP. Expertise in event-driven architectures, message queues, and serverless platforms (AWS Lambda, Google Cloud Functions, Azure Functions). Familiarity with microservices architecture, distributed systems, and databases (SQL, NoSQL) in cloud environments. Contributions to open-source projects related to cloud, DevOps, or Python development. Relevant cloud certifications (AWS, Azure, GCP). Experience in presenting at technology conferences or writing technical blogs. What We Offer Opportunity to work on and shape cutting-edge cloud and serverless technologies A collaborative and innovative work environment that encourages creativity and pushes technological boundaries Competitive salary and benefits package Professional development and learning opportunities Remote work options Chance to contribute to the broader tech community through open-source contributions and conference presentations Show more Show less

Job Overview We are seeking a skilled and motivated DevOps Engineer with over 5 years of experience to join our dynamic team. The ideal candidate will have a strong background in software engineering, IT operations, and cloud infrastructure management. As a DevOps Engineer, you will be responsible for automating, optimizing, and ensuring the reliability and performance of our software systems and deployment pipelines. Key Responsibilities Automation and Configuration Management: Design, implement, and maintain automated deployment pipelines. Use configuration management tools (e.g., Ansible, Puppet, Chef) to manage and provision infrastructure. CI/CD Pipeline Development: Develop and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or CircleCI. Ensure seamless integration and delivery of code from development to production environments. Infrastructure as Code (IaC): Write and manage infrastructure as code using tools like Terraform or CloudFormation. Ensure scalable and secure cloud infrastructure on platforms like AWS, Azure, or GCP. Monitoring and Logging: Implement and manage monitoring and logging solutions (e.g., Prometheus, Grafana, ELK stack) to ensure system health and performance. Proactively identify and resolve issues before they impact production. Collaboration and Support: Collaborate with software developers, QA engineers, and other stakeholders to streamline the software development lifecycle. Provide support for development and production environments, including troubleshooting and performance tuning. Security and Compliance: Implement and enforce security best practices and compliance standards (e.g., GDPR, HIPAA) within the DevOps processes. Regularly review and audit systems for vulnerabilities and compliance. Required Qualifications Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. 5+ years of experience in a DevOps role or related position. Strong knowledge of cloud platforms (AWS, Azure, GCP). Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git). Solid understanding of networking, security, and system administration. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications Experience with microservices architecture and serverless computing. Knowledge of database management and data integration. Certifications in cloud technologies (e.g., AWS Certified DevOps Engineer, Azure DevOps Engineer Expert). Experience with agile methodologies and project management tools (e.g., Jira, Confluence) Show more Show less