Java, Kotlin Developer (SSE)

Senior Machine Learning Engineer (Production & MLOps Focus)

DevSecOps Engineer

Lead DevSecOps Engineer

system engineer

Full Stack Engineer

Associate Consultant

Engineering Manager

Senior DevOps Engineer

Staff Engineer - AI/ML

Responsibilities: <ul><li>Develop and maintain robust and scalable backend services primarily using Kotlin and Ktor.&nbsp;</li><li>Engage in architectural discussions and contribute to the design of a multi-regional backend.&nbsp;</li><li>Maintain and manage SQL and NoSQL databases.&nbsp;</li><li>Integrate with search clusters such as OpenSearch.&nbsp;</li><li>Work on our payment &amp; product platform and ensure fault tolerance.&nbsp;</li><li>Manage deployments with tools like GitHub, Gradle &amp; CircleCI.&nbsp;</li><li>Monitor built services directly in the cluster and through services such as Sentry and Datadog.&nbsp;</li><li>Mentor junior engineers, guiding them on best practices.&nbsp;</li></ul> Requirements: <ul><li>7+ years of professional backend engineering experience.&nbsp;</li><li>3+ years of developing in Kotlin, with extensive understanding of modern and asynchronous backend frameworks.&nbsp;</li><li>Worked with Kafka or a similar event streaming platform&nbsp;&nbsp;</li><li>Fluent in Git, CI/CD, and build automation.</li><li>Knowledge of how to deploy, ingress, monitor, and manage backend services in a Kubernetes cluster.&nbsp;</li><li>Excellent communication skills and ability to explain technical concepts to non-technical stakeholders.&nbsp;</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: <ul><li>﻿Support and maintain Kubernetes environments.</li><li>Design, implement, and maintain the infrastructure and deployment pipelines to support the development and deployment of our applications. </li><li>Collaborate with software engineers, system administrators, and other team members to identify and implement efficient and reliable solutions. </li><li>Automate processes and tasks to improve efficiency and scalability. </li><li>Provide technical support and assistance to the development team. </li><li>Monitor, analyze, and optimize system performance, ensuring high availability, scalability, and security. </li><li>Timely respond to incidents. </li><li>Maintain and enhance the security of our infrastructure, applications, and systems, ensuring compliance with industry best practices and regulatory requirements. </li><li>Provide On-call Weekly/Weekend off-hour L3-4 support on a rotational schedule with other team members.</li></ul> Requirements: <ul><li>6+ years of hands-on experience in DevSecOps or a similar role.</li><li>Strong knowledge of cloud platforms such as Azure and GCP and their security features.</li><li>Strong knowledge of SDLC, CI/CD pipelines, and infrastructure automation.</li><li>Strong knowledge of CI/CD tools such as Azure DevOps or an equivalent.</li><li>Confident knowledge of IaC approach, testing techniques and strong hands-on experience with infrastructure management tools such as Terraform.</li><li>Good understanding of Configuration Management and hands-on experience with CM tools such as Ansible.</li><li>Strong understanding of networking concepts, including the OSI model (protocols, etc.).</li><li>Expertise in system administration for both Linux and Windows environments.</li><li>Ability to comprehend the objectives of a task, propose and advocate for solutions, and successfully implement them.</li></ul>

Responsibilities: <ul><li>Contribute to Infrastructure as a Code</li><li>Support and maintain Kubernetes environments</li><li>Design, implement, and maintain the infrastructure and deployment pipelines to support the development and deployment of our applications.</li><li>Collaborate with software engineers, system administrators, and other team members to identify and implement efficient and reliable solutions.</li><li>Automate processes and tasks to improve efficiency and scalability.</li><li>Provide technical support and assistance to the development team.</li><li>Monitor, analyze, and optimize system performance, ensuring high availability, scalability, and security.</li><li>Timely respond to incidents.</li><li>Maintain and enhance the security of our infrastructure, applications, and systems, ensuring compliance with industry best practices and regulatory&nbsp;</li><li>requirements.</li><li>Provide On-call Weekly/Weekend off-hour L3-4 support on a rotational schedule with other team members</li><li>Develop and maintain system documentation</li><li>Stay up-to-date with the latest trends, technologies, and best practices in DevSecOps and cybersecurity</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Engineering, Information Security, or a related field.</li><li>6+ years of hands-on experience in DevSecOps or a similar role. (8+ years total)</li><li>Strong knowledge of cloud platforms such as Azure and GCP and their security features.</li><li>Strong knowledge of SDLC, CI/CD pipelines, and infrastructure automation.</li><li>Strong knowledge of CI/CD tools such as Azure DevOps or an equivalent.</li><li>Confident knowledge of containerization technologies and strong hands-on experience with Docker and Kubernetes.</li><li>Confident knowledge of IaC approach, testing techniques and strong handson experience with infrastructure management tools such as Terraform.</li><li>Good understanding of modern monitoring tools and practice</li></ul>

Responsibilities: <ul><li>Provide application L1/L2 support and system checks (CPU, disk usage, logs, services)</li><li>Troubleshoot and resolve system and application issues, and provide on-site technical support to ensure timely resolution and minimal disruption to business operations</li><li>Monitor application health and system alerts, escalating issues as needed</li><li>Log incidents and service requests in the ticketing system, ensuring timely resolution</li><li>Coordinate with L3 teams and vendors for issue escalation and follow-up</li><li>Perform routine maintenance tasks, such as application updates, patching, and backups</li><li>Maintain clear documentation of issues, fixes, and procedures</li><li>Participate in system testing, deployment, and post-deployment support activities</li><li>Assist in user access management and configuration </li><li>Requirements:</li><li>Diploma/Degree in Electrical Engineering, Computer Science, Communications Engineering or equivalent</li><li>Minimum 2 years in application maintenance, support or server infrastructure setup</li><li>Experience participating in Kubernetes cluster projects, with proficiency in using relevant commands to check application logs</li><li>Experience with at least two of the following Virtualization Technology/Platforms: VMware, Xen, KVM, OpenStack, Cloud Stack, Azure Stack</li><li>Experience with cloud orchestration, configuration management and auto-scaling techniques</li><li>Thorough knowledge of networking, routers, switches, and WiFi setup</li><li>Hands on experience in deploying ceph using different file system such as object storage, rbd, cephfs storage</li><li>Good knowledge of storage technologies, such as NAS, SAN, SDS</li><li>Experience with automation tools such as Salt/Chef/Puppet/Ansible</li><li>Experience with load balancing setup for TCP/IP, HTTP, DNS, routings.</li><li>Experience in using software version control</li><li>Knowledge of IT security standards, for instance from CIS or IM8.</li><li>Experience in IT security policy management and enforcing IT security</li><li>Knowledge of computer hardware components and ability to restore faulty servers to working condition.</li><li>Experience in coding or scripting languages such as bash, windows batch script, powershell, perl, python, etc.&nbsp;</li></ul>

Responsibilities: <ul><li>Design, develop, test, and deploy smart contracts using Solidity (bonus for Rustbased smart contracts).</li><li>Build and maintain frontend applications using Next.js, React, TypeScript, Wagmi, and Viem.</li><li>Develop and manage backend services, including REST APIs, using Node.js, Rust, or other modern frameworks.</li><li>Implement and maintain subgraphs and substreams (The Graph) for on-chain data indexing and querying.</li><li>Write and maintain scripts (JavaScript, Bash, etc.) for automation, tooling, and DevOps tasks.</li><li>Contribute to and maintain infrastructure using Docker, Kubernetes, and CI/CD pipelines.</li><li>Collaborate with cross-functional teams to define, design, and ship new features and systems.</li><li>Participate in code reviews, testing, and documentation to ensure high-quality software.</li><li>Stay current with the latest developments in Web3, blockchain, and infrastructure tooling</li></ul> Requirements: <ul><li>Minimum of 5+ years of experience in software development across the stack.</li><li>Bachelors degree preferred or equivalent experience</li><li>2+ years of experience with Solidity and smart contract development.</li></ul>

Role Description: <ul><li>We are looking for Associate Consultants to join a major Platform Operations workstream in Bangalore.</li><li>The focus will be on enabling and assisting the Customer Platform Operations team to manage and operate a newly deployed Red Hat OpenShift Virtualization (OCP Virt) platform in a production environment.</li><li>The consultants will be embedded in the Platform Operation Track, working side-by-side with the customer team to provide operational support, knowledge transfer, and daily assistance with Day 2 tasks.</li></ul> Responsibilities:&nbsp; <ul><li>Support the deployment, operation, and management of the Red Hat OpenShift Virtualization platform in production.</li><li>Assist the Customer Ops team with daily operational tasks and troubleshooting.</li><li>Enable the Ops team to: o Resolve minor issues independently (requiring strong OCP/OCP Virt knowledge).</li><li>Correctly identify significant issues and escalate support cases with the necessary details for fast resolution.</li><li>Share best practices, operational guidelines, and documentation to strengthen the Ops team’s capabilities.</li><li>Contribute to the long-term stability and scalability of the platform.</li></ul> Requirements: Required Skills &amp; Experience&nbsp; <ul><li>Strong, hands-on experience with Red Hat OpenShift and OpenShift Virtualization (OCP Virt).</li><li>Good understanding of containerized environments, Kubernetes, and platform operations.</li><li>Ability to provide operational support and knowledge transfer to customer teams.</li><li>Strong problem-solving skills and familiarity with Day 2 operational tasks.</li><li>Good communication skills to work effectively in customer-facing, collaborative environments.</li></ul>

Job Summary: <ul><li>R&amp;D Team builds world-class SaaS solutions for industrial customers for their asset and network device management.&nbsp;</li><li>As a part of the high-performing engineering team, the engineering manager will build and maintain a software development team tasked to deliver high-quality software that delights our customers.&nbsp;</li><li>He/She will report to Senior Engineering Manager.</li></ul> Responsibilities: <ul><li>As a software engineering manager of a Cloud-based Platform, be both a highly technical, hands-on coder and an effective resource manager.</li><li>Communicate across functions and other stakeholders and drive engineering initiatives</li><li>Introduce and maintain AGILE SDLC best practices in the team.</li><li>Participate in Code Review, Technical design discussion&nbsp;</li><li>Be a subject matter expert in the Public Cloud and On-Prem based Data Platform</li><li>Define and influence product strategy</li></ul> Requirements:﻿ <ul><li>10+ years of software engineering work experience, including hands-on technical management.</li><li>In-depth knowledge on NMS and other network software</li><li>7+ years’ experience coding in one of the following languages: Go and Python.</li><li>Experience with Docker and Kubernetes for deployment and orchestration.</li><li>Hands-on knowledge on Public Cloud Services and infrastructure.</li><li>7+ years’ of demonstrated experience recruiting and managing technical teams, including performance management</li></ul>

Responsibilities: Cloud Infrastructure Design and Deployment: <ul><li>Architect, design, and implement scalable, reliable, and secure solutions on GCP.</li><li>Deploy and manage GCP services in both development and production environments, ensuring seamless integration with existing infrastructure.</li><li>Implement and manage core services such as BigQuery, Datafusion, Cloud Composer (Airflow), Cloud Storage, Data Fusion, Compute Engine, App Engine, Cloud Functions and more.</li></ul> Infrastructure as Code (IaC) and Automation: <ul><li>Develop and maintain infrastructure as code using Terraform or CLI scripts to automate provisioning and configuration of GCP resources.</li><li>Establish and document best practices for IaC to ensure consistent and efficient deployments across environments.</li></ul> DevOps and CI/CD Pipeline Development: <ul><li>Create and manage DevOps pipelines for automated build, test, and release management, integrating with tools such as Jenkins, GitLab CI/CD, or equivalent.</li><li>Work with development and operations teams to optimize deployment workflows, manage application dependencies, and improve delivery speed.</li></ul> Security and IAM Management: <ul><li>Handle user and service account management in Google Cloud IAM.</li><li>Set up and manage Secrets Manager and Cloud Key Management for secure storage of credentials and sensitive information.</li><li>Implement network and data security best practices to ensure compliance and security of cloud resources.</li></ul> Performance Monitoring and Optimization: <ul><li>Monitoring &amp; Security: Set up observability tools like Prometheus, Grafana, and integrate security tools (e.g., SonarQube, Trivy).</li><li>Networking &amp; Storage: Configure DNS, networking, and persistent storage solutions in Kubernetes.</li><li>Set up monitoring and logging (e.g., Cloud Monitoring, Cloud Logging, Error Reporting) to ensure systems perform optimally.</li><li>Troubleshoot and resolve issues related to cloud services and infrastructure as they arise.</li></ul> Workflow Orchestration: <ul><li>Orchestrate complex workflows using Argo Workflow Engine.</li><li>Containerization: Work extensively with Docker for containerization and image management.</li><li>Optimization: Troubleshoot and optimize containerized applications for performance and security.</li></ul> Requirements:﻿ <ul><li>Bachelors or masters degree in computer science, Information Technology, or a similar field</li><li>Must have 10 + years of extensive experience in designing, implementing, and maintaining applications on GCP and OpenShift</li><li>Comprehensive expertise in GCP services such as GKE, Cloudrun, Functions, Cloud SQL, Firestore, Firebase, Apigee, GCP App Engine, Gemini Code Assist, Vertex AI, Spanner, Memorystore, Service Mesh, and Cloud Monitoring</li><li>Solid understanding of cloud security best practices and experience in implementing security controls in GCP</li><li>Thorough understanding of cloud architecture principles and best practices</li><li>Experience with automation and configuration management tools like Terraform and a sound understanding of DevOps principles</li><li>Proven leadership skills and the ability to mentor and guide a technical team</li></ul>

Role Description: <ul><li>As a Staff Engineer, you will play a pivotal role in shaping the future of Gen AI at our client by defining technical strategy, overseeing complex machine learning architectures, and ensuring seamless integration of Gen AI solutions into our platform and applications at scale.</li><li>You will mentor and guide a small engineering team while providing expertise in state-of-the-art AI/ML practices, ensuring a robust production pipeline and the professional management of models.&nbsp;</li></ul> Responsibilities: <ul><li>Help lead the technical strategy and execution for AI projects across the organization.</li><li>Designing, deploying, and managing the lifecycle of AI/ML models, including retraining and monitoring for continuous improvement within our solution.</li><li>Designing and driving Gen AI features on peta-byte scale datasets Driving innovation in NLP and other ML solutions, ensuring alignment with our client business goals. Architecting, developing and overseeing scalable, production-ready AI systems.</li><li>Providing technical mentorship to the AI/ML engineering team, fostering growth and collaboration.</li><li>Conducting in-depth research and staying abreast of advancements in Gen AI and deep learning technologies.</li><li>Collaborating with cross-functional teams, including Product, to evaluate business requirements and determine optimal AI solutions.</li><li>Reviewing code, offering best practices, and ensuring the delivery of high-quality solutions.&nbsp;</li><li>Representing our client technical excellence through publications, presentations, and participation in industry events.</li><li>Opportunity to work on cutting-edge AI projects at scale.</li></ul> Requirements: <ul><li>8+ years experience in managing large-scale datasets and distributed computing environments, with a preference for Google Cloud Platform expertise.</li><li>Java programming experience.</li><li>Experience with integration and deployment of AI/ML into production at scale within a SaaS solution.</li><li>Demonstrates independent thinking, capable of analyzing unique challenges, overcoming technical hurdles and delivering impactful AI solutions.</li><li>Hands-on experience with Generative AI techniques, including RAG pipelines, LLM fine-tuning, prompt engineering, and diffusion models.</li><li>Strong knowledge of generative AI frameworks and tools, such as Hugging Face, LangChain, or OpenAI APIs.</li><li>Experience in developing and scaling Generative AI solutions for NLP, vision, or multimodal tasks.</li><li>Advanced knowledge of modern AI frameworks, such as PyTorch, TensorFlow/Keras, Hugging Face Transformers, and JAX/Flax.</li><li>Expertise in Python, Docker, Kubernetes, and Helm.</li><li>Excellent communication skills, particularly in mentoring, knowledge sharing, and cross-team collaboration.</li><li>Willingness to be in office 3 days per week.</li></ul>

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12 kubernetes Jobs found

Java, Kotlin Developer (SSE)

Senior Machine Learning Engineer (Production & MLOps Focus)

DevSecOps Engineer

Lead DevSecOps Engineer

system engineer

Full Stack Engineer

Associate Consultant

Engineering Manager

Senior DevOps Engineer

Staff Engineer - AI/ML

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12 kubernetes Jobs found

Java, Kotlin Developer (SSE)

Senior Machine Learning Engineer (Production & MLOps Focus)

DevSecOps Engineer

Lead DevSecOps Engineer

system engineer

Full Stack Engineer

Associate Consultant

Engineering Manager

Senior DevOps Engineer

Staff Engineer - AI/ML

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.