1633 Grafana Jobs - Page 41

• Strong hands-on experience in JMeter (Samplers, Assertions, Plugins) • Scripting knowledge in Groovy, Beanshell, and Basic Java • Familiar with CI/CD tools – Jenkins, Git • Experience with Monitoring tools – Grafana, AppDynamics

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to join the team of software engineering experts at Kyndryl? We are seeking a talented Software Engineering Technical Specialist to contribute to our software engineering space and provide critical skills required for the development of cutting-edge products. As a Software Engineering Technical Specialist, you will develop solutions in specific domains such as Security, Systems, Databases, Networking Solutions, and more. You will be a leader – contributing knowledge, guidance, technical expertise, and team leadership skills. Your leadership will be demonstrated in your work, to your customers, and within your teams. At Kyndryl, we value effective communication and collaboration skills. When you recognise opportunities for business change, you will have the ability to clearly and persuasively communicate complex technical and business concepts to both customers and team members. You’ll be the go-to person for problem-solving of customers’ business and technical issues. You have a knack for effectively identifying and framing problems, leading the collection of elements of information, and integrating this information to produce timely and thoughtful decisions. Your aim throughout, is to improve the effectiveness, efficiency and delivery of services through the use of technology and technical methods and methodologies. Driving the design, development, integration, delivery, and evolution of highly scalable distributed software you will integrate with other layers and offerings. You will provide deeper functionality and solutions to address customer needs. You will work closely with software engineers, architects, product managers, and partner teams to get high-quality products and features through the agile software development lifecycle. Your continuous grooming of features/user stories to estimate, identify technical risks/dependencies and clearly communicate them to project stakeholders will ensure the features are delivered with the right quality and within timeline. You will maintain and drive the clearing of technical debt, vulnerabilities, and currency of the 3rd party components within the product. As a Software Engineering Technical Specialist, you will also coach and mentor engineers to design and implement highly available, secure, distributed software in a scalable architecture. This is an opportunity to make a real impact and contribute to the success of Kyndryl's innovative software products. Join us and become a key player in our team of software engineering experts! Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Expertise 5–8 years of experience in infrastructure monitoring, logging, or performance engineering. Strong experience designing and implementing observability solutions using: Azure Monitor / Application Insights / Log Analytics Prometheus / Grafana / Loki / ELK / Splunk OpenTelemetry, Fluentd/Fluent Bit, Jaeger Familiarity with microservices, Kubernetes (AKS), and cloud-native patterns Experience working with CI/CD tools (GitHub Actions, Azure DevOps) and automation (Terraform, ARM, Bicep). Knowledge of ITSM and incident management workflows Preferred Technical and Professional Experience Strong communication and documentation skills. Ability to balance multiple priorities across delivery teams. Collaborative mindset with a focus on solution quality and operational reliability Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

We’re a forward-thinking team building cutting-edge AI/ML solutions that power intelligent systems and drive real-world impact. We value curiosity, innovation, and a passion for artificial intelligence. Roles and Responsibilities Design, develop, and deploy machine learning and artificial intelligence models into production systems. Build and maintain scalable data pipelines, feature stores, and model training workflows. Implement MLOps best practices: containerization (Docker), orchestration (Kubernetes), CI/CD pipelines, and model monitoring. Optimize performance and reliability of AI systems, including model versioning, performance monitoring, and automated retraining. Collaborate with cross-functional teams—data scientists, software engineers, DevOps—to integrate models into products. Ensure code quality, reproducibility, security, and compliance across the ML lifecycle. Required Experience & Skills 3–5 years in software engineering, ML engineering, or AI-focused roles. Proficiency in Python for ML development, scripting, and automation. Strong grasp of machine learning concepts, algorithms, and evaluation methodologies. Practical experience with popular ML frameworks: TensorFlow, PyTorch, scikit-learn. Hands-on with MLOps technologies: CI/CD (e.g., Jenkins, GitLab CI), containerization (Docker), orchestration (Kubernetes). Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools (MLflow, Kubeflow, Airflow). Skilled in monitoring solutions (Prometheus, Grafana) and version control (Git, DVC, MLflow). Excellent problem-solving, communication, and collaboration skills.

About Job: We are hiring a talented Core GCP SRE/IAC professional to join our team. If youre excited to be part of a winning team, Zensar is a great place to grow your career. You’ll be glad you make the right choice to join us. As a Core GCP SRE/IAC in the Global Architecture team, you’re at the core of one of the largest services in our global organization. As part of a small group of technology experts, you will identify, recommend, and implement innovative solutions and best practices to continuously improve, expand and protect our core server and systems supporting multiple large services and all our associates, worldwide Essential duties and responsibilities: Experience -8 to 12 yrs Notice Period- Immediate Joiner Only Mode - WFO Location - Pune Interested and relevant can share resume on cheana.kashid@zensar.com Required Skills (Must Have and should meet all the below standards for qualifying to this role • 8 -12 years of experience of experience in Cloud (private public deployments) engineering and support roles • Bachelor’s degree in Computer Science, Engineering, or a related field. • Experience with monitoring and observability tools (e.g., Prometheus, Grafana, Solarwind) IAC – Infrastructure as a code ,Helm Chart. Certification – GCP and Kubernetes • Strong expertise in scripting and automation using Python, Bash, or similar languages. • Proficiency with infrastructure as code ( Terraform) and container orchestration tools ( Kubernetes). • Experience in building and managing CI/CD pipelines. • Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and Linux/Unix systems.

About NCR Atleos Job TitleDevOps Engineer II Location: Gurgaon Job Type: Full-Time, 24*7 Availability : As a DevOps Engineer, you will assist in managing and optimizing our infrastructure, ensuring the seamless deployment and operation of our applications. This role requires a proactive individual with a foundational understanding of DevOps practices, cloud technologies, automation, and Infrastructure as Code (IaC). The successful candidate will be expected to be available to work in various shifts for a 24*7 environment to address any critical issues that may arise . Key Responsibilities: Industry Knowledge: Familiar with Financial Services or Settlement Systems. IT Service Management Tools: Exposure to tools like ServiceNow & JIRA for incident and task management. Infrastructure: Understand IT hardware, networking, operating systems, and Active Directory. Web Servers: Configure and support Microsoft IIS or Apache Tomcat. Cloud Experience Work with cloud platforms such as Azure, AWS, or GCP. Configuration Management: Manage and maintain configuration settings for applications and infrastructure using IaC tools like Terraform, CloudFormation, or Ansible . Certificate Management: Handle the issuance, renewal, and management of SSL certificates. Databases: Proficient in SQL and database management. Scripting: Basic knowledge of PowerShell, Bash, Python, Ansible, .NET or JavaScript. Application Performance/System Monitoring: Ensure high availability and reliability by using either of tools like SolarWinds, AppDynamics, DotCom , Dynatrace, Site24/7, Grafana or NewRelic. Middleware Tools: Support middleware and automation tools like ActiveBatch, RabbitMQ, UiPath, and Tibco. Infrastructure Design: Assist in designing and maintaining scalable, secure infrastructure. Release Management: Implement, Monitor, and manage CI/CD pipelines. Collaboration: Work with Cross-functional teams for smooth application delivery. Security: Follow security best practices and address vulnerabilities. 24/7 Support: Provide on-call support for critical issues. Continuous Improvement: Enhance system processes, performance, and scalability. Knowledge Management: Document and share knowledge effectively (SharePoint & Confluence) ITIL Framework: Follow ITIL best practices. Qualifications: Bachelors degree in computer science Engineering, or a related field. 3-5 years of experience in supporting a portfolio of complex business critical application systems. 1-2 years of experience in DevOps or a related role. Basic experience with cloud platforms (AWS, Azure, GCP). Proficiency in scripting languages (PowerShell, Python, Bash, etc.). Familiarity with containerization and orchestration (Docker, Kubernetes). Knowledge of configuration management (IIS Web server or Apache Tomcat). Understanding of knowledge management principles and practices. Ability to operate within the ITIL framework. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Ability to work in a fast-paced, 24*7 environment. EEO Statement NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law. Statement to Third Party Agencies To ALL recruitment agenciesNCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

About the Job The Data & AI team is a highly focused effort to lead digital-first execution and transformation at Red Hat leveraging data strategically for our customers, partners, and associates. Radical CollaborationThere is no work done in isolation, as such, each team has to strive to collaborate with teams within the group, cross-group, and the communities. You will strive to make these collaborations as seamless as possible using tools, processes, best practices, and your own brand of creative problem-solving. Continuous LearningThis is a fast paced team and you are expected to be continuously curious, have a can do attitude and be proficient in understanding multiple aspects of the business, continuous improving your skill sets (technical and business) as the industry progresses Data and AI team is looking for a Engineering Manager to lead the Platform practice for the next generation SaaS based data and AI products. You will interact with product managers, Red Hat Sales, Marketing, Finance teams and data platform and product engineers to deliver a sophisticated data as-a-service platform. You'll coach and develop software engineers as they build the Platform, Infrastructure-as-code components, platform observability, agentic AI capabilities and other software to autonomously manage the environment, and guide problem management resolution (PMR) analysis when things go wrong. Youll work in a fast-paced globally distributed team while quickly learning new skills and creating ways to consistently meet service-level agreements (SLAs) for our data products.This role requires a leader with a proven record of navigating the complexities of working across multiple organizations, helping define and gain consensus on strategy and direction, and aligning the team(s) toward those end goals. What you will do Support engineering team to foster and deliver in an inner-source manner Develop, and retain a team of engineers developing and operating Red Hats data-as-service platform Coach engineers on good engineering principleswriting good code, automation, observability, toil reduction, and root cause analysis Manage high-visibility project delivery, including estimation, schedule, risks, and dependencies Design processes and communication norms that facilitate coordination across a fast-moving, fast-growing, diverse global team Lead your team through frequent changes in organization, process, and technology commensurate with a high growth cloud service in a competitive market Participate in a periodic 24x7 management escalation on-call rotation What you will bring 10-12 years of hands on developing and maintaining software. 5+ years experience managing high performing engineering teams Previous software engineering experience delivering data products, applications, or services on cloud native or hybrid platforms Experience with Agile methodologies and working in a DevOps culture with continuous integration / continuous deliveries Ability to lead distributed, remote teams working across multiple time zones Ability to discuss complex technical issues with engineers, product managers, and less-technical stakeholders including customers and senior leaders Understand and collaborate with compliance teams to make sure Platform and Products are compliant as per regulation. Experience hiring and developing engineers Experience in communication with stakeholder and leadership The following are considered a plus: Experience with platforms like Kuberentes/OpenShift and Kubernetes Operators, Prometheus, Graphana etc Experience with Go and Python for developing scaling backend software. Experience with building full stack applications Knowledge of SaaS technologies like Snowflake, Fivetran, Astro etc. About Red Hat Red Hat is the worlds leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hats culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

Responsibilities Work with development teams to ideate software solutions Building and setting up new development tools and infrastructure Working on ways to automate and improve development and release processes Ensuring that systems are safe and secure against cybersecurity threats Deploy updates and fixes Perform root cause analysis for production errors Develop scripts to automate infrastructure provision Working with software developers and software engineers to ensure that development follows established processes and works as intended Requirements At least 2+ years of professional experience as a software developer / DevOps engineer or equivalent Professional experience with Golang Experience with test-driven development and the use of testing frameworks Strong communication skills Technologies we use GitOps GitHub, GitLab, BitBucket Language Golang CI/CD Jenkins, Circle CI, Travis CI, TeamCity, Azure DevOps Containerization Docker, Swarm, Kubernetes Provisioning Terraform CloudOps Azure, AWS, GCP Observability Prometheus, Grafana, GrayLog, ELK Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Skill required- Azure Data Factory, Kubernetes, Azure DevOps Must-Have:- Working experience on Azure DevOps (4+ years) Working experience on Kubernetes - scripting, deployment Data Factory Terraform scripting Ansible Powershell Python, Cloud Formation, Good knowledge of ITIL process (good to have) Must have: Strong knowledge of Kubernetes, Istio Service mesh Linux - CLI and Basic knowledge of the OS Scripting (Bash and YAML) Containerization and Docker essentials Jenkins Pipeline creation and execution SCM Management such as GitHub and SVN Cloud Platform Knowledge Azure Monitoring tools like Grafana, Prometheus, ELK stack Certifications (Good to have): 1. Solutions architect associate 2. Certified Kubernetes Administrator (CKA) Location: Remote, Anywhere in- Delhi / NCR,Bangalore/Bengaluru ,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Grafana specialist to lead the creation of robust dashboards for comprehensive end-to-end monitoring. Strong background in production support monitoring, with a keen understanding of the metrics that matter to both technology teams and management. Required Candidate profile 5y-Build Grafana dashboards for monitoring Use Prometheus&exporters for real-time data Integrate multi-source data&alerts Create Unix/Python scripts for log automation Manage Jira/ServiceNow dashboard

Role AWS Cloud Engineer. We are looking for an AWS Cloud Engineer with a strong DevOps and scripting background who can support and optimize cloud infrastructure, automate deployments, and collaborate cross-functionally in a fast-paced fintech environment. Core Responsibilities. Design and implement secure, scalable network and infrastructure solutions using AWS. Deploy applications using EC2, Lambda, Fargate, ECS, and ECR. Automate infrastructure using CloudFormation, scripting (Python/Bash), and AWS SDK. Manage and optimize relational (PostgreSQL, SQL) and NoSQL (MongoDB) databases. Set up and maintain monitoring using Grafana, Prometheus, and AWS CloudWatch. Perform cost optimization across the AWS infrastructure and execute savings strategies. Maintain high availability, security, and disaster recovery (DR) mechanisms. Implement Kubernetes (EKS), containers, and CI/CD pipelines. Proactively monitor system performance and troubleshoot production issues. Coordinate across product and development teams for deployments and DevOps planning. Must-Have Skills. 4+ years of hands-on experience with AWS Cloud Platform. Strong proficiency in Linux/Unix systems, Nginx, Apache, and Tomcat. Proficient in Python, Shell/Bash scripting for automation. Strong knowledge of SQL, PostgreSQL, and MongoDB. Familiarity with CloudFormation, IAM, VPC, S3, ECS/EKS/ECR. Monitoring experience with Prometheus, Grafana, and CloudWatch. Previous exposure to AWS cost optimization strategies. Excellent communication skills, self-driven, and a proactive attitude. Nice-to-Have Skills. Experience with Google Cloud Platform (GCP). Experience in container orchestration with Kubernetes (EKS preferred). Background in working with startups or fast-growing product environments. Knowledge of disaster recovery strategies and high availability setups. (ref:hirist.tech).

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Summary: Qualcomm is seeking a seasoned Staff Engineer, DevOps to join our central software engineering team. In this role, you will lead the design, development, and deployment of scalable cloud-native and hybrid infrastructure solutions, modernize legacy systems, and drive DevOps best practices across products. This is a hands-on architectural role ideal for someone who thrives in a fast-paced, innovation-driven environment and is passionate about building resilient, secure, and efficient platforms. Key Responsibilities: Architect and implement enterprise-grade AWS cloud solutions for Qualcomm’s software platforms. Design and implement CI/CD pipelines using Jenkins, GitHub Actions, and Terraform to enable rapid and reliable software delivery. Develop reusable Terraform modules and automation scripts to support scalable infrastructure provisioning. Drive observability initiatives using Prometheus, Grafana, Fluentd, OpenTelemetry, and Splunk to ensure system reliability and performance. Collaborate with software development teams to embed DevOps practices into the SDLC and ensure seamless deployment and operations. Provide mentorship and technical leadership to junior engineers and cross-functional teams. Manage hybrid environments, including on-prem infrastructure and Kubernetes workloads supporting both Linux and Windows. Lead incident response, root cause analysis, and continuous improvement of SLIs for mission-critical systems. Drive toil reduction and automation using scripting or programming languages such as PowerShell, Bash, Python, or Go. Independently drive and implement DevOps/cloud initiatives in collaboration with key stakeholders. Understand software development designs and compilation/deployment flows for .NET, Angular, and Java-based applications to align infrastructure and CI/CD strategies with application architecture. Required Qualifications: 10+ years of experience in IT or software development, with at least 5 years in cloud architecture and DevOps roles. Strong foundational knowledge of infrastructure components such as networking, servers, operating systems, DNS, Active Directory, and LDAP. Deep expertise in AWS services including EKS, RDS, MSK, CloudFront, S3, and OpenSearch. Hands-on experience with Kubernetes, Docker, containerd, and microservices orchestration. Proficiency in Infrastructure as Code using Terraform and configuration management tools like Ansible and Chef. Experience with observability tools and telemetry pipelines (Grafana, Prometheus, Fluentd, OpenTelemetry, Splunk). Experience with agent-based monitoring tools such as SCOM and Datadog. Solid scripting skills in Python, Bash, and PowerShell. Familiarity with enterprise-grade web services (IIS, Apache, Nginx) and load balancing solutions. Excellent communication and leadership skills with experience mentoring and collaborating across teams. Preferred Qualifications: Experience with api gateway solutions for API security and management. Knowledge on RDBMS, preferably MSSQL/Postgresql is good to have. Proficiency in SRE principles including SLIs, SLOs, SLAs, error budgets, chaos engineering, and toil reduction. Experience in core software development (e.g., Java, .NET). Exposure to Azure cloud and hybrid cloud strategies. Bachelor’s degree in Computer Science or a related field Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Job Title: MLOps Engineer - ML Platform Hiring Title: Flexible based on candidate experience – about Staff Engineer preferred : We are seeking a highly skilled and experienced MLOps Engineer to join our team and contribute to the development and maintenance of our ML platform both on premises and AWS Cloud. As a MLOps Engineer, you will be responsible for architecting, deploying, and optimizing the ML & Data platform that supports training of Machine Learning Models using NVIDIA DGX clusters and the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus, and Grafana. Your expertise in AWS services such as EKS, EC2, VPC, IAM, S3, and EFS will be crucial in ensuring the smooth operation and scalability of our ML infrastructure. You will work closely with cross-functional teams, including data scientists, software engineers, and infrastructure specialists, to ensure the smooth operation and scalability of our ML infrastructure. Your expertise in MLOps, DevOps, and knowledge of GPU clusters will be vital in enabling efficient training and deployment of ML models. Responsibilities will include: Architect, develop, and maintain the ML platform to support training and inference of ML models. Design and implement scalable and reliable infrastructure solutions for NVIDIA clusters both on premises and AWS Cloud. Collaborate with data scientists and software engineers to define requirements and ensure seamless integration of ML and Data workflows into the platform. Optimize the platform’s performance and scalability, considering factors such as GPU resource utilization, data ingestion, model training, and deployment. Monitor and troubleshoot system performance, identifying and resolving issues to ensure the availability and reliability of the ML platform. Implement and maintain CI/CD pipelines for automated model training, evaluation, and deployment using technologies like ArgoCD and Argo Workflow. Implement and maintain monitoring stack using Prometheus and Grafana to ensure the health and performance of the platform. Manage AWS services including EKS, EC2, VPC, IAM, S3, and EFS to support the platform. Implement logging and monitoring solutions using AWS CloudWatch and other relevant tools. Stay updated with the latest advancements in MLOps, distributed computing, and GPU acceleration technologies, and proactively propose improvements to enhance the ML platform. What are we looking for: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Proven experience as an MLOps Engineer or similar role, with a focus on large-scale ML and/or Data infrastructure and GPU clusters. Strong expertise in configuring and optimizing NVIDIA DGX clusters for deep learning workloads. Proficient in using the Kubernetes platform, including technologies like Helm, ArgoCD, Argo Workflow, Prometheus , and Grafana . Solid programming skills in languages like Python, Go and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch ). In-depth understanding of distributed computing, parallel computing, and GPU acceleration techniques. Familiarity with containerization technologies such as Docker and orchestration tools. Experience with CI/CD pipelines and automation tools for ML workflows (e.g., Jenkins, GitHub, ArgoCD). Experience with AWS services such as EKS , EC2, VPC, IAM, S3, and EFS. Experience with AWS logging and monitoring tools. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and collaboration skills to work effectively within a cross-functional team. We would love to see: Experience with training and deploying models. Knowledge of ML model optimization techniques and memory management on GPUs. Familiarity with ML-specific data storage and retrieval systems. Understanding of security and compliance requirements in ML infrastructure.

At Kotak Mahindra Bank, customer experience is at the forefront of everything we do on Digital Platform. To help us build & run platform for Digital Applications , we are now looking for an experienced Sr. DevOps Engineer . They will be responsible for deploying product updates, identifying production issues and implementing integrations that meet our customers' needs. If you have a solid background in software engineering and are familiar with AWS EKS, ISTIO/Services Mesh/tetrate, Terraform,Helm Charts, KONG API Gateway, Azure DevOps, SpringBoot , Ansible, Kafka/MOngoDB we’d love to speak with you. Objectives of this Role Building and setting up new development tools and infrastructure Understanding the needs of stakeholders and conveying this to developers Working on ways to automate and improve development and release processes Investigate and resolve technical issues Develop scripts to automate visualization Design procedures for system troubleshooting and maintenance Skills and Qualifications BSc in Computer Science, Engineering or relevant field Experience as a DevOps Engineer or similar software engineering role minimum 5 Yrs Proficient with git and git workflows Good knowledge of Kubernets EKS,Teraform,CICD ,AWS Problem-solving attitude Collaborative team spirit Testing and examining code written by others and analyzing results Identifying technical problems and developing software updates and ‘fixes’ Working with software developers and software engineers to ensure that development follows established processes and works as intended Monitoring the systems and setup required Tools Daily and Monthly Responsibilities Deploy updates and fixes Provide Level 3 technical support Build tools to reduce occurrences of errors and improve customer experience Develop software to integrate with internal back-end systems Perform root cause analysis for production errors

At Kotak Mahindra Bank, customer experience is at the forefront of everything we do on Digital Platform. To help us build & run platform for Digital Applications , we are now looking for an experienced Sr.DevOps Engineer . They will be responsible for deploying product updates, identifying production issues and implementing integrations that meet our customers' needs. If you have a solid background in software engineering and are familiar with AWS EKS, ISTIO/Services Mesh/tetrate, Terraform,Helm Charts, KONG API Gateway, Azure DevOps, SpringBoot , Ansible, Kafka/MOngoDB we’d love to speak with you. Objectives of this Role Building and setting up new development tools and infrastructure Understanding the needs of stakeholders and conveying this to developers Working on ways to automate and improve development and release processes Testing and examining code written by others and analyzing results Identifying technical problems and developing software updates and ‘fixes’ Working with software developers and software engineers to ensure that development follows established processes and works as intended Monitoring the systems and setup required Tools Daily and Monthly Responsibilities Deploy updates and fixes Provide Level 3 technical support Build tools to reduce occurrences of errors and improve customer experience Develop software to integrate with internal back-end systems Perform root cause analysis for production errors Investigate and resolve technical issues Develop scripts to automate visualization Design procedures for system troubleshooting and maintenance Skills and Qualifications B.Tech in Computer Science, Engineering or relevant field Experience as a DevOps Engineer or similar software engineering role minimum 5-8 Yrs Proficient with git and git workflows Good knowledge of Kubernets EKS,Teraform,CICD ,AWS Problem-solving attitude Collaborative team spirit

Job Title: Senior DevOps Site Reliability Engineer (SRE) Location: Hyderabad & Ahmedabad Employment Type: Full-Time Work Model - 3 Days from office Job Overview Dynamic, motivated individuals deliver exceptional solutions for the production resiliency of the systems. The role incorporates aspects of software engineering and operations, DevOps skills to come up with efficient ways of managing and operating applications. The role will require a high level of responsibility and accountability to deliver technical solutions. Summary: As a Senior SRE, you will ensure platform reliability, incident management, and performance optimization. You'll define SLIs/SLOs, contribute to robust observability practices, and drive proactive reliability engineering across services. Experience Required: 6-10 years of SRE or infrastructure engineering experience in cloud-native environments. Mandatory: Cloud: GCP (GKE, Load Balancing, VPN, IAM) Observability: Prometheus, Grafana, ELK, Datadog Containers & Orchestration: Kubernetes, Docker Incident Management: On-call, RCA, SLIs/SLOs IaC: Terraform, Helm Incident Tools: PagerDuty, OpsGenie Nice to Have: GCP Monitoring, Skywalking Service Mesh, API Gateway GCP Spanner, Scope: Drive operational excellence and platform resilience Reduce MTTR, increase service availability Own incident and RCA processes Roles and Responsibilities: Define and measure Service Level Indicators (SLIs), Service Level Objectives (SLOs), and manage error budgets across services. Lead incident management for critical production issues drive Root Cause Analysis (RCA) and postmortems. Create and maintain runbooks and standard operating procedures for high availability services. Design and implement observability frameworks using ELK, Prometheus, and Grafana; drive telemetry adoption. Coordinate cross-functional war-room sessions during major incidents and maintain response logs. Develop and improve automated System Recovery, Alert Suppression, and Escalation logic. Use GCP tools like GKE, Cloud Monitoring, and Cloud Armor to improve performance and security posture. Collaborate with DevOps and Infrastructure teams to build highly available and scalable systems. Analyze performance metrics and conduct regular reliability reviews with engineering leads. Participate in capacity planning, failover testing, and resilience architecture reviews.Role & responsibilities Interested candidates reach out to : Anjitha.jr@acesoftlabs.com IT Recruiter

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Grafana Good to have skills : Microsoft Azure DevOps, Microsoft System Center Operations Manager (SCOM), Microsoft SQL ServerMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will provide ongoing technical support and maintenance of production and development systems and software products both remote and onsite. You will work on configured services running on various platforms within defined operating models and processes, including hardware/software support and technology implementation at the operating system-level. Must have Skills :Grafana Good to Have Skills :Microsoft Azure DevOps Microsoft System Center Operations Manager (SCOM) Microsoft SQL Server Key Responsibilities :- Grafana knowledge and hands on experience- Troubleshooting experience- Good written and verbal communication skills- Excellent understanding of SQL, able to understand existing SQL Queries, good understanding of database structures MS SQL Preferred- Basic understanding of networking, firewalls and secure network communication using SSL- Good to have experience with Azure DevOps and operating Azure PipelinesProfessional & Technical Experience :- Good Git source control knowledge - Good to have LDAP knowledge around groups and permissions- Good to have knowledge or experience with Splunk and understanding Splunk queries- Good to have knowledge of PowerShell, specifically using PowerShell to run automations- Good to have knowledge of Azure, Azure Monitor, Azure Monitor Logs- Good to have Application support experience- Good to have basic knowledge of Kubernetes deployments- The ability to learn new processes and technologies- Candidate should have effective communication skills within the team and with clients - Maturity and a professional attitude:Candidate should be matured enough and demonstrate professional attitude - Dependability and a Strong Work Ethic-Candidate should demonstrate dependability Educational Qualification:Btech or equivalent Qualification 15 years full time education

Project Role : Integration Engineer Project Role Description : Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements. Must have skills : Infrastructure As Code (IaC) Good to have skills : Microsoft Azure SentinelMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Integration Engineer, you will provide consultative Business and System Integration services to assist clients in implementing effective solutions. Your typical day will involve engaging with clients to understand their needs, facilitating discussions on transformation, and ensuring that the technology and business solutions align with their requirements. You will work collaboratively with various teams to translate customer needs into actionable plans, driving the customer journey and application designs to achieve optimal outcomes. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Develop and maintain documentation related to integration processes and solutions.- Develop, maintain, and test Hashicorp Terraform modules for infrastructure as code (IaC)- Design, implement, and manage Sentinel policies as code to enforce security and compliance standards- Collaborate with development, operations, and security teams to integrate security practices into the CI/CD pipeline- Automate infrastructure provisioning, configuration management, and application deployment processes- Monitor and troubleshoot infrastructure and application issues, ensuring high availability and performance- Conduct security assessments and audits to identify vulnerabilities and implement remediation measures- Stay up-to-date with the latest industry trends, tools, and best practices in DevSecOps, Terraform, and Sentinel Professional & Technical Skills: - Must To Have Skills: Proficiency in Infrastructure As Code (IaC).- Good To Have Skills: Experience with Microsoft Azure Sentinel.- Strong understanding of cloud infrastructure and deployment strategies.- Experience with automation tools and frameworks for infrastructure management.- Familiarity with version control systems and CI/CD pipelines.- Proven experience (min. 5 years) as a DevSecOps/Cloud Engineer or similar role- Strong expertise in Hashicorp Terraform and infrastructure as code (IaC) principles- Proficiency in developing and managing Sentinel policies as code- Experience with CI/CD tools such as GitHub, GitHub Actions, Jenkins, and JFrog Platform- Solid understanding of cloud platforms, specifically Google Cloud Platform (GCP) and Microsoft Azure- Knowledge of containerization technologies (Docker, Kubernetes) and orchestration- Familiarity with security frameworks and compliance standards (e.g., NIST, ISO 27001)- Certifications in Terraform, GCP, or Azure (e.g., HashiCorp Certified:Terraform Associate, Google Cloud Professional Cloud Architect, Microsoft Certified:Azure Solutions Architect Expert).- Experience with scripting languages (Python, Bash, PowerShell).- Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK stack). Additional Information:- The candidate should have minimum 5 years of experience in Infrastructure As Code (IaC).- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Kubernetes Good to have skills : Google Kubernetes Engine, Google Cloud Compute ServicesMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education:We are looking for an experienced Kubernetes Architect to join our growing cloud infrastructure team. This role will be responsible for architecting, designing, and implementing scalable, secure, and highly available cloud-native applications on Kubernetes. You will leverage Kubernetes along with associated technologies like Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and Prometheus to build resilient systems that meet both business and technical needs. Google Kubernetes Engine (GKE) will be considered as an additional skill. As a Kubernetes Architect, you will play a key role in defining best practices, optimizing the infrastructure, and providing architectural guidance to cross-functional teams.Key Responsibilities:Architect Kubernetes Solutions:Design and implement scalable, secure, and high-performance Kubernetes clusters.Cloud-Native Application Design:Collaborate with development teams to design cloud-native applications, ensuring that microservices are properly architected and optimized for Kubernetes environments.Kafka Management:Architect and manage Apache Kafka clusters using Kubekafka, ensuring reliable, real-time data streaming and event-driven architectures.Database Architecture:Use Kubegres to manage high-availability PostgreSQL clusters in Kubernetes, ensuring data consistency, scaling, and automated failover.Helm Chart Development:Create, maintain, and optimize Helm charts for consistent deployment and management of applications across Kubernetes environments.Ingress & Networking:Architect and configure Ingress controllers (e.g., NGINX, Traefik) for secure and efficient external access to Kubernetes services, including SSL termination, load balancing, and routing.Caching and Performance Optimization:Leverage Redis to design efficient caching and session management solutions, optimizing application performance.Monitoring & Observability:Lead the implementation of Prometheus for metrics collection and Grafana for building real-time monitoring dashboards to visualize the health and performance of infrastructure and applications.CI/CD Integration:Design and implement continuous integration and continuous deployment (CI/CD) pipelines to streamline the deployment of Kubernetes-based applications.Security & Compliance:Ensure Kubernetes clusters follow security best practices, including RBAC, network policies, and the proper configuration of Secrets Management.Automation & Scripting:Develop automation frameworks using tools like Terraform, Helm, and Ansible to ensure repeatable and scalable deployments.Capacity Planning and Cost Optimization:Optimize resource usage within Kubernetes clusters to achieve both performance and cost-efficiency, utilizing cloud tools and services.Leadership & Mentorship:Provide technical leadership to development, operations, and DevOps teams, offering mentorship, architectural guidance, and sharing best practices.Documentation & Reporting:Produce comprehensive architecture diagrams, design documents, and operational playbooks to ensure knowledge transfer across teams and maintain system reliability.Required Skills & Experience:10+ years of experience in cloud infrastructure engineering, with at least 5+ years of hands-on experience with Kubernetes.Strong expertise in Kubernetes for managing containerized applications in the cloud. Experience in deploying & managing container-based systems on both private and public clouds (Google Kubernetes Engine (GKE)).Proven experience with Kubekafka for managing Apache Kafka clusters in Kubernetes environments.Expertise in managing PostgreSQL clusters with Kubegres and implementing high-availability database solutions.In-depth knowledge of Helm for managing Kubernetes applications, including the development of custom Helm charts.Experience with Ingress controllers (e.g., NGINX, Traefik) for managing external traffic in Kubernetes.Hands-on experience with Redis for caching, session management, and as a message broker in Kubernetes environments.Advanced knowledge of Prometheus for monitoring and Grafana for visualization and alerting in cloud-native environments.Experience with CI/CD pipelines for automated deployment and integration using tools like Jenkins, GitLab CI, or CircleCI.Solid understanding of networking, including load balancing, DNS, SSL/TLS, and ingress/egress configurations in Kubernetes.Familiarity with Terraform and Ansible for infrastructure automation.Deep understanding of security best practices in Kubernetes, such as RBAC, Network Policies, and Secrets Management.Knowledge of DevSecOps practices to ensure secure application delivery.Certifications:oGoogle Cloud Platform (GCP) certification is mandatory.oKubernetes Certification (CKA, CKAD, or CKAD) is highly preferred.oHashiCorp Terraform certification is a significant plus. Qualification 15 years full time education

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Google Kubernetes Engine Good to have skills : Kubernetes, Google Cloud Compute ServicesMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education:Job Summary :We are seeking a motivated and talented GCP & Kubernetes Engineer to join our growing cloud infrastructure team. This role will be a key contributor in building and maintaining our Kubernetes platform, working closely with architects to design, deploy, and manage cloud-native applications on Google Kubernetes Engine (GKE).Responsibilities:Extensive hands-on experience with Google Cloud Platform (GCP) and Kubernetes implementations.Demonstrated expertise in operating and managing container orchestration engines such as Dockers or Kubernetes.Knowledge or experience on various Kubernetes tools like Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and PrometheusProven track record in supporting and deploying various public cloud services.Experience in building or managing self-service platforms to boost developer productivity.Proficiency in using Infrastructure as Code (IaC) tools like Terraform.Skilled in diagnosing and resolving complex issues in automation and cloud environments.Advanced experience in architecting and managing highly available and high-performance multi-zonal or multi-regional systems.Strong understanding of infrastructure CI/CD pipelines and associated tools.Collaborate with internal teams and stakeholders to understand user requirements and implement technical solutions.Experience working in GKE, Edge/GDCE environments.Assist development teams in building and deploying microservices-based applications in public cloud environments.Technical Skillset:Minimum of 3 years of hands-on experience in migrating or deploying GCP cloud-based solutions.At least 3 years of experience in architecting, implementing, and supporting GCP infrastructure and topologies.Over 3 years of experience with GCP IaC, particularly with Terraform, including writing and maintaining Terraform configurations and modules.Experience in deploying container-based systems such as Docker or Kubernetes on both private and public clouds (GCP GKE).Familiarity with CI/CD tools (e.g., GitHub) and processes.Certifications:GCP ACE certification is mandatory.CKA certification is highly desirable.HashiCorp Terraform certification is a significant plus. Qualification 15 years full time education

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Kubernetes Good to have skills : Google Kubernetes Engine, Google Cloud Compute ServicesMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationJob Summary :We are looking for an experienced Kubernetes Specialist to join our cloud infrastructure team. You will work closely with architects and engineers to design, implement, and optimize cloud-native applications on Google Kubernetes Engine (GKE). This role will focus on providing expertise in Kubernetes, container orchestration, and cloud infrastructure management, ensuring the seamless operation of scalable, secure, and high-performance applications on GKE and other cloud environments.Responsibilities:Kubernetes Implementation:Design, implement, and manage Kubernetes clusters for containerized applications, ensuring high availability and scalability.Cloud-Native Application Design:Work with teams to deploy, scale, and maintain cloud-native applications on Google Kubernetes Engine (GKE).Kubernetes Tools Expertise:Utilize Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and Prometheus to build and maintain resilient systems.Infrastructure Automation:Develop and implement automation frameworks using Terraform and other tools to streamline Kubernetes deployments and cloud infrastructure management.CI/CD Implementation:Design and maintain CI/CD pipelines to automate deployment and testing for Kubernetes-based applications.Kubernetes Networking & Security:Ensure secure and efficient Kubernetes cluster networking, including Ingress controllers (e.g., NGINX, Traefik), RBAC, and Secrets Management.Monitoring & Observability:Lead the integration of monitoring solutions using Prometheus for metrics and Grafana for real-time dashboard visualization.Performance Optimization:Optimize resource utilization within GKE clusters, ensuring both performance and cost-efficiency.Collaboration:Collaborate with internal development, operations, and security teams to meet user requirements and implement Kubernetes solutions.Troubleshooting & Issue Resolution:Address complex issues related to containerized applications, Kubernetes clusters, and cloud infrastructure, troubleshooting and resolving them efficiently.Technical Skillset:GCP & Kubernetes Experience:Minimum of 3+ years of hands-on experience in Google Cloud Platform (GCP) and Kubernetes implementations, including GKE.Container Management:Proficiency with container orchestration engines such as Kubernetes and Docker.Kubernetes Tools Knowledge:Experience with Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and Prometheus for managing Kubernetes-based applications.Infrastructure as Code (IaC):Strong experience with Terraform for automating infrastructure provisioning and management.CI/CD Pipelines:Hands-on experience in building and managing CI/CD pipelines for Kubernetes applications using tools like Jenkins, GitLab, or CircleCI.Security & Networking:Knowledge of Kubernetes networking (DNS, SSL/TLS), security best practices (RBAC, network policies, and Secrets Management), and the use of Ingress controllers (e.g., NGINX)Cloud & DevOps Tools:Familiarity with cloud services and DevOps tools such as GitHub, Jenkins, and Ansible.Monitoring Expertise:In-depth experience with Prometheus and Grafana for operational monitoring, alerting, and creating actionable insights.Certifications:Google Cloud Platform (GCP) Associate Cloud Engineer (ACE) certification is required.Certified Kubernetes Administrator (CKA) is highly preferred. Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Python (Programming Language) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :This is a hands-on, technical role where the candidate will design and implement a DevOps Maturity Model by integrating multiple DevOps tools and building backend APIs to visualize data on a front-end interface. The candidate will work closely with cross-functional teams to enable DevOps culture, ensure system reliability, and drive continuous improvement. Roles & Responsibilities:1.DevOps Maturity Model:Design and develop a model to assess and improve DevOps practices by integrating tools like Jenkins, GitLab, and Azure DevOps.2.Backend Development:Build scalable and efficient backend APIs using Python and Azure Serverless.3.Frontend Development:Develop intuitive and responsive front-end interfaces using Angular and Vue.js for data visualization.4.Monitoring & Automation:Implement monitoring, logging, and alerting solutions. Develop automation scripts for reporting and analysis.5.Collaboration:Work with cross-functional teams to resolve production-level disruptions and enable DevOps culture.6.Documentation:Document architecture, design, and implementation details. Professional & Technical Skills: 1.Backend Development :Python and experience with Azure Serverless2.Frontend DevelopmentAngular and Vue.js.3.Databases:Familiarity with Azure SQL, Cosmos DB, or PostgreSQL.4.Containerization:Good understanding of Docker and Kubernetes for basic troubleshooting.5.Networking:Basic understanding of TCP/IP, HTTP, DNS, VPN, and cloud networking.6.Monitoring & Logging:Experience with monitoring tools like Prometheus, Grafana, or Datadog. Additional Information:1.The candidate should have a minimum of 3 years of experience in Python & Angular full stack.2.This position is based at our Bengaluru office.3.A 15 years full time education is required (bachelors degree in computer science, Engineering, or a related field). Qualification 15 years full time education

Project Role : DevOps Engineer Project Role Description : Responsible for building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD), Cloud technologies, Container Orchestration and Security. Build and test end-to-end CI/CD pipelines, ensuring that systems are safe against security threats. Must have skills : DevSecOps Good to have skills : Google Cloud Platform Architecture, Microsoft Azure Infrastructure as Code (IaC)Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a DevOps Engineer, you will be responsible for building and setting up new development tools and infrastructure. A typical day involves utilizing your knowledge in continuous integration, delivery, and deployment, as well as cloud technologies and container orchestration. You will also focus on ensuring that systems are secure against potential threats while collaborating with various teams to enhance the development process and improve overall efficiency. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and optimize CI/CD pipelines for performance and security.- Oversee the development, maintenance, and testing of Hashicorp Terraform modules for infrastructure as code (IaC)- Ensure the design, implementation, and management of Sentinel policies as code to enforce security and compliance standards- Collaborate with cross-functional teams to integrate security practices into the CI/CD pipeline- Drive the automation of infrastructure provisioning, configuration management, and application deployment processes- Monitor and troubleshoot infrastructure and application issues, ensuring high availability and performance- Conduct regular security assessments and audits to identify vulnerabilities and implement remediation measures- Stay up to date with the latest industry trends, tools, and best practices in DevSecOps, Terraform, and Sentinel- Foster a culture of continuous improvement, innovation, and collaboration within the team- Develop and implement strategies to enhance the team's efficiency, productivity, and overall performance- Report on team progress, challenges, and achievements to senior management Professional & Technical Skills: - Must To Have Skills: Proficiency in DevSecOps.- Good To Have Skills: Experience with Google Cloud Platform Architecture, Microsoft Azure Infrastructure as Code (IaC).- Strong understanding of continuous integration and continuous deployment methodologies.- Experience with container orchestration tools such as Kubernetes or Docker Swarm.- Familiarity with security best practices in software development and deployment.- Proven experience in a leadership role within a DevSecOps or similar environment- Strong expertise in Hashicorp Terraform and infrastructure as code (IaC) principles- Proficiency in developing and managing Sentinel policies as code- Experience with CI/CD tools such as GitHub, GitHub Actions, Jenkins, and JFrog Platform- Solid understanding of cloud platforms, specifically Google Cloud Platform (GCP) and Microsoft Azure- Knowledge of containerization technologies (Docker, Kubernetes) and orchestration.- Familiarity with security frameworks and compliance standards (e.g., NIST, ISO 27001).- Certifications in Terraform, GCP, or Azure (e.g., HashiCorp Certified:Terraform Associate, Google Cloud Professional Cloud Architect, Microsoft Certified:Azure Solutions Architect Expert).- Experience with scripting languages (Python, Bash, PowerShell).- Knowledge of monitoring and logging tools (Prometheus, Grafana, ELK stack). Additional Information:- The candidate should have minimum 7.5 years of experience in DevSecOps.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

ACV Auctions is looking for an experienced Site Reliability Engineer III with a systems and software engineering background to focus on site reliability. We believe in taking a software engineers approach to operations by providing standards and software tools to all engineering projects. As a Site Reliability Engineer, you will split your time between developing software that improves overall reliability and providing operational support for production systems. What you will do: Maintain reliability and performance for your particular infrastructure area while working with software engineers to improve service quality and health. Develop, design, and review new software tools in Python & Java to improve infrastructure reliability and provide services with better monitoring, automation, and product delivery. Practice efficient incident response through on-call rotations alongside software engineers and document incidents through postmortems. Support service development with capacity plans, launch/deployment plans, scalable system design, and monitoring plans. What you will need: BS degree in Computer Science or a related technical discipline or equivalent practical experience. Experience building/managing infrastructure deployments on Google Cloud Platform 3+ years managing cloud infrastructure. Experience programming in at least one of the following: Python or Java You are experienced in Linux/Unix systems administration, configuration management, monitoring, and troubleshooting. You are comfortable with production systems including load balancing, distributed systems, microservice architecture, service meshes, and continuous delivery. Experience building and delivering software tools for monitoring, management, and automation that support production systems. Comfortable working with teams across multiple time -zones and working flexible hours as needed. Preferred Qualifications Experience maintaining and scaling Kubernetes clusters for production workloads is a plus