37 Argo Jobs

As a Data Engineer at Zebra, you will play a crucial role in understanding clients" technical requirements and designing and building data pipelines to support those needs. You will not only develop solutions but also oversee the development of other Engineers. Strong verbal and written communication skills are essential to effectively communicate with clients and internal teams. Your expertise in databases, SQL, cloud technologies, and modern data integration tools like GCP Dataflow, GKE, Workflow, Cloud Build, and Airflow will be key to your success in this role. **Responsibilities:** - Play a critical role in designing and implementing data platforms for AI products. - Develop productized...

As a Platform Engineer at our company, you will play a crucial role in maintaining and enhancing the Brightly Platform. Your responsibilities will include: - Developing and implementing scalable and secure containerized environments - Designing and building integrated toolchains and workflows for CI/CD, security, and compliance - Integrating monitoring & tracking the performance of the OpenShift platform and applications - Proactively managing applications to address service failures before they escalate - Collaborating and partnering with various stakeholders inside of Brightly - Automating application build and deployment processes - Creating self-service capabilities and automated infrast...

Typescript Developer Job location: Bengaluru / Pune/ Hyderabad Work experiance: 2 years to 4 years JD: •Strong experience with Node.js and Typescript •Understanding of DynamoDB or other key-value stores and NoSQL databases •Experience using AWS managed services •Experience with caching architectures, particularly Redis •Strong experience with containerization and container orchestration, (Docker, Kubernetes, Helm, Istio, Argo, etc). •Experience with monitoring technologies (Splunk, Instana, Datadog, Prometheus, etc). •Knowledge of API documentation, especially Swagger (OpenAPI) •Experience using CI/CD automation (Jenkins, Gitlab)

As a member of the team, you will play a crucial role in advancing the integration of Salesforce applications on Google Cloud Platform (GCP). Key Responsibilities: - Delivering cloud infrastructure automation tools, frameworks, workflows, and validation platforms on public cloud platforms such as AWS, GCP, Azure, or Alibaba - Designing, developing, debugging, and operating resilient distributed systems across thousands of compute nodes in multiple data centers - Using and contributing to open-source technologies such as Kubernetes, Argo, etc. - Developing Infrastructure-as-Code using Terraform - Writing microservices on containerization frameworks like Kubernetes, Docker, Mesos - Resolving c...

Job role: Lead Engineer Go-lang for a Data Intensive Backend Service - Bank Technology Platform Location: Remote Position Overview: We're seeking an exceptional Lead Engineer to spearhead the development of cutting-edge bank technology platform components for our enterprise SaaS platform. You'll lead a team of 4-6 engineers in building scalable, secure, and AI-powered financial technology solutions that serve small- to medium sized banks and credit unions clients at scale. This role requires a unique blend of technical excellence, leadership acumen, and an obsessive passion for complex distributed systems, AI and agentic technologies. Leadership Responsibilities: 1. Technical Leadership • Yo...

Role Overview: As a Lead BizOps Engineer at Mastercard, you will be responsible for driving the customer experience strategy forward by consistently innovating and problem-solving. You will lead a team of engineers managing a high-availability infrastructure environment using AWS Cloud, Kubernetes, Linux, CI/CD, and other open-source technologies. Your role will involve supporting daily operations, analyzing ITSM activities, assessing security vulnerabilities, and providing technical leadership to mentor junior team members. Key Responsibilities: - Lead a team of engineers managing a high-availability infrastructure environment using AWS Cloud, Kubernetes, Linux, CI/CD, and other open-source...

As an experienced Full Stack Developer, you will be responsible for owning the full stack of the company's products. This includes architecting, implementing, and maintaining backend services in Python/Django and modern frontend SPAs in React. You will also lead and mentor the engineering team by establishing best practices, conducting code reviews, and coaching junior developers or contractors as the team grows. Key Responsibilities: - Architect, implement, and maintain backend services in Python/Django and modern frontend SPAs in React - Lead and mentor the engineering team by establishing best practices and conducting code reviews - Prototype and productionize RAG pipelines using Haystack...

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

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

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

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