21 Argo Jobs

You will be responsible for designing data pipelines and engineering infrastructure to support clients" enterprise machine learning systems at scale. Additionally, you will be tasked with taking offline models data scientists build and transforming them into real machine learning production systems. Your role will involve developing and deploying scalable tools and services for clients to handle machine learning training and inference efficiently. You will need to identify and evaluate new technologies to enhance the performance, maintainability, and reliability of clients" machine learning systems. It is essential to apply software engineering rigor and best practices to machine learning, i...

At Ping Identity, the belief is in creating secure and seamless digital experiences for all users, without compromise, under the vision of digital freedom. This ethos not only drives the services offered to customers but also serves as an inspiration for the company culture. The core technology revolves around protecting digital identities while the culture prioritizes respecting individual identities, encouraging everyone to bring their authentic selves to work. Headquartered in Denver, Colorado, with a global presence through offices and employees worldwide, Ping Identity serves the largest enterprises globally, including over half of the Fortune 100 companies. The company is transforming ...

As a Machine Learning Platform Engineer at our company, you will be responsible for designing data pipelines and engineering infrastructure to support our clients" enterprise machine learning systems at scale. Your role will involve taking offline models developed by data scientists and transforming them into real machine learning production systems. You will also be tasked with developing and deploying scalable tools and services for clients to manage machine learning training and inference efficiently. In this position, you will play a crucial role in identifying and evaluating new technologies that can enhance the performance, maintainability, and reliability of our clients" machine learn...

The company is looking for an experienced DevOps Lead Engineer to join their team in Pune. Your role will involve driving automation, deployment, and management of cloud infrastructure, with a focus on CI/CD pipelines, cloud services, and automation tools such as Microsoft Azure, GitHub, Kubernetes, Terraform, and Argo CD. Leadership, collaboration, and a deep understanding of DevOps practices are essential for this role. **Must-Have Skills:** - Expertise in Microsoft Azure and its PaaS services. - Proficiency in CI/CD pipelines using tools like GitHub Actions, Jenkins, Azure DevOps, and Terraform. - Hands-on experience with Docker and Kubernetes for containerized applications. - Strong know...

Primary Skillset (Mandatory) GitOps-based deployments using Flux and ArgoCD Docker and Kubernetes Secondary Skillset (Good to Have) Oracle SQL, MySQL, and MongoDB Job Description Key Responsibilities: Design, implement, and maintain CI/CD pipelines using CircleCI to support agile development and rapid delivery. Manage GitOps-based deployments using Flux and ArgoCD for Kubernetes environments. Build and maintain containerized applications using Docker and orchestrate them with Kubernetes . Provision and manage cloud infrastructure on AWS (EC2, S3, Lambda) using best practices for scalability and cost-efficiency. Integrate security and compliance tools such as SonarCloud and BlackDuck into the...

As a crucial member of the team, you will play a pivotal role in various machine learning initiatives, contributing to the development of conversational AI bots, RAG system, and traditional ML problem-solving for the observability platform. Your responsibilities will involve both operational and engineering tasks such as building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. Within the LLM domain, you will be tasked with fine-tuning generative AI models, designing agentic language chains, and prototyping recommender system experiments. This role offers you the opportunity to significantly impact AI-driven solutions in...

As a Data Engineer at Zebra, your primary responsibility will be to understand the technical requirements of clients and design and build data pipelines to meet those requirements. In addition to developing solutions, you will also oversee the development of other Engineers. Strong verbal and written communication skills are essential as you will be required to effectively communicate with clients and internal teams. Success in this role will require a deep understanding of databases, SQL, cloud technologies, and modern data integration and orchestration tools like GCP Dataflow, GKE, Workflow, Cloud Build, and Airflow. You will play a critical role in designing and implementing data platform...

You are a highly skilled and innovative Senior Python Developer specializing in Generative AI and MLOps tools such as Argo Workflows and Kubernetes. Your role involves designing and deploying scalable GenAI applications, constructing robust pipelines, and integrating AI models into production environments. As a Python Developer, you will be responsible for designing, developing, and fine-tuning generative models like GPT, LLAMA, Mistral, FLAN, and T5. You will also build and optimize Retrieval-Augmented Generation (RAG) pipelines, implement model evaluation frameworks, and ensure responsible AI deployment. Your expertise in writing efficient, reusable, and testable Python code for AI/ML appl...

Candidate must have below mentioned Skills Experiance: Argo-CD and GitHub Cloud : GCP Kubernetes foundations Language : Python, Go, or Rust, Linux Terraform

Candidate must have below mentioned Skills Experiance: Argo-CD and GitHub Cloud : GCP Kubernetes foundations Language : Python, Go, or Rust, Linux Terraform

Candidate must have below mentioned Skills Experiance: Argo-CD and GitHub Cloud : GCP Kubernetes foundations Language : Python, Go, or Rust, Linux Terraform

Candidate must have below mentioned Skills Experiance: Argo-CD and GitHub Cloud : GCP Kubernetes foundations Language : Python, Go, or Rust, Linux Terraform

The role of Senior Python Developer in GenAI & MLOps (Argo + Kubernetes) requires a highly skilled and innovative professional with expertise in Generative AI and MLOps tools. As a Senior Python Developer, you will be responsible for designing and deploying scalable GenAI applications, building robust pipelines, and integrating AI models into production environments. Your key responsibilities will include developing generative models such as GPT, LLAMA, Mistral, FLAN, and T5. You will be tasked with building and optimizing Retrieval-Augmented Generation (RAG) pipelines using various techniques like embeddings, indexing, chunking, reranking, and prompt engineering. Additionally, you will impl...

As the Lead BizOps Engineer at Mastercard, you will play a crucial role in driving the customer experience strategy of the Open Banking team. You will lead a team of engineers in managing a high-availability infrastructure environment using AWS Cloud, Kubernetes, Linux, CI/CD, and other open-source technologies. Your responsibilities will include supporting daily operations, analyzing ITSM activities, assessing system security, establishing processes and standards, troubleshooting issues, and ensuring operational standards are met. You will be expected to take a holistic approach to problem-solving during production events, provide technical leadership, mentor junior team members, and collab...

You should have strong experience in designing, developing, executing, analyzing, and documenting automation test scripts & test results with over 5 years of experience. You must be proficient in Java Test Automation framework using Cucumber for test scripting. In addition, you should possess a solid background in API test automation, specifically using Java Rest Assured/SOAP UI, and have experience in automating Web applications using Java/Selenium/Cucumber. Moreover, you must have expertise in testing Web Services such as REST, SOAP, XML, JSON, Postman, and Swagger. Experience in both Automated and Manual Testing, along with knowledge in Behaviour Driven Development (BDD), Test Driven Deve...

Role Overview: We are seeking a skilled DevOps Engineer with 58 years of experience to manage and enhance our cloud infrastructure, deployment pipelines, and observability stack. The ideal candidate should have strong experience in Azure, Infrastructure-as-Code (Terraform), CI/CD, and monitoring tools, with a sound understanding of cloud security and compliance. Key Responsibilities: Design, implement, and manage infrastructure on Microsoft Azure using Terraform Build and maintain CI/CD pipelines using GitHub Actions , Argo CD , and Jenkins Ensure system observability using Grafana , Prometheus , and log aggregation tools Implement and enforce security best practices in cloud deployments Mon...

Developer leads the cloud application development/deployment . A developer responsibility is to lead the execution of a project by working with a senior level resource on assigned development/deployment activities and design, build, and maintain cloud environments focusing on uptime, access, control, and network security using automation and configuration management tools Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Extensive experience in Spring, Spring Actuate, Spring Boot, Spring Cloud, Based Microservices Has experience in any of the CI/CD tools like Jenkins, Spinnaker GOCD, CircleCI, Argo, Ansible, Bamboo Has expe...

Job Summary: We are looking for a skilled and proactive DevOps Engineer with 2+ years of experience in managing and automating cloud infrastructure, ensuring deployment security, and supporting CI/CD pipelines. The ideal candidate is proficient in tools like Docker, Kubernetes, Terraform, and has hands-on experience with observability stacks such as Prometheus and Grafana. You will work closely with engineering teams to maintain uptime for media services, support ML model pipelines, and drive full-cycle Dev & Ops best practices. Key Responsibilities: Design, deploy, and manage containerized applications using Docker and Kubernetes. Automate infrastructure provisioning and management using Te...

Proficiency in Python, SQL, data transformation and scripting. Experience with data pipeline and workflow tools such as Airflow, Apache, Airflow, Flyte, Argo Hands on experience with Spark/ PySpark, Docker and Kubernetes Strong experience with relational databases (e.g., SQL Server, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Expertise in cloud data platforms such as AWS (Glue, Redshift, S3), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).

Job Title: DevOps Engineer Experience: 3-5 Years Key Responsibilities: 3-5 Years of Industry Experience Should have achieved mastery in one of the SecDevops practices IaC-Terraform, Cloud-AWS, CICD-Git/Argo, microservices architecture deployment (primarily Kubernetes) with awareness about site reliability engineering principles, coupled with a willingness to learn and expand the knowledge. Familiarity with Agile/Scrum methodology Experience with source control and continuous integration tools Strong analytical and reasoning skills Good experience with cloud services (AWS), cloud engineering, architecture, and software as a service. Hands-on experience in AWS Services IAM, VPC, EKS, CloudFron...

Job Title: Data Engineer Location: Chennai or Hyderabad Employment Type: Full-Time / Contract Job Description: We are seeking a highly skilled and experienced Data Engineer with strong expertise in Big Data technologies, Python, and AWS . The ideal candidate will be responsible for designing, building, and maintaining robust data pipelines, ensuring high performance, availability, and scalability of data solutions in a cloud-based environment. Key Responsibilities: Design and implement scalable data pipelines using Python and Big Data frameworks. Develop and optimize complex SQL queries for data processing and reporting. Build and automate shell scripts for data workflows and orchestration. ...