628 Prometheus Jobs - Page 2

What You'll Do We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will build core agent infrastructureA2A orchestration and MCP-driven tool discoveryso teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, Machine Learning What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Promote innovation by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful 6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Experience working with technological innovations in AI & ML(esp. GenAI) and apply them. Experience with design patterns and data structures. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana.

What You'll Do We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will have a blend of technical skills in the fields of AI & Machine Learning especially with LLMs and a deep-seated understanding of software development practices where you'll work with a team to ensure our systems are scalable, performant and accurate. You will be reporting to Senior Manager, AI/ML. What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Inspire creativity by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful Bachelor's/Master's degree in computer science with 5+ years of industry experience in software development, along with experience building Machine Learning models and deploying them in production environments. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Work with technological innovations in AI & ML(esp. GenAI) Experience with design patterns and data structures. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, Grafana

Senior Full Stack Engineer We are seeking a Senior Full Stack Engineer to design, build and scale a portfolio of cloud-native products including real-time speech-assessment tools, GenAI content services, and analytics dashboards used by customers worldwide. You will own end-to-end delivery across React/Next.js front-ends, Node/Python micro-services, and a MongoDB-centric data layer, all orchestrated in containers on Kubernetes, while championing multi-tenant SaaS best practices and modern MLOps. Role: Product & Architecture • Design multi-tenant SaaS services with isolated data planes, usage metering, and scalable tenancy patterns. • Lead MERN-driven feature work: SSR/ISR dashboards in Next.js, REST/GraphQL APIs in Node.js or FastAPI, and event-driven pipelines for AI services. • Build and integrate AI/ML & GenAI modules (speech scoring, LLM-based content generation, predictive analytics) into customer-facing workflows. DevOps & Scale • Containerise services with Docker, automate deployment via Helm/Kubernetes, and implement blue-green or canary roll-outs in CI/CD. • Establish observability for latency, throughput, model inference time, and cost-per-tenant across micro-services and ML workloads. Leadership & Collaboration • Conduct architecture reviews, mentor engineers, and promote a culture that pairs AI-generated code with rigorous human code review. • Partner with Product and Data teams to align technical designs with measurable business KPIs for AI-driven products. Required Skills & Experience • Front-End React 18, Next.js 14, TypeScript, modern CSS/Tailwind • Back-End Node 20 (Express/Nest) and Python 3.11 (FastAPI) • Databases MongoDB Atlas, aggregation pipelines, TTL/compound indexes • AI / GenAI Practical ML model integration, REST/streaming inference, prompt engineering, model fine-tuning workflows • Containerisation & Cloud Docker, Kubernetes, Helm, Terraform; production experience on AWS/GCP/Azure • SaaS at Scale Multi-tenant data isolation, per-tenant metering & rate-limits, SLA design • CI/CD & Quality GitHub Actions/GitLab CI, unit + integration testing (Jest, Pytest), E2E testing (Playwright/Cypress) Preferred Candidate Profile • Production experience with speech analytics or audio ML pipelines. • Familiarity with LLMOps (vector DBs, retrieval-augmented generation). • Terraform-driven multi-cloud deployments or FinOps optimization. • OSS contributions in MERN, Kubernetes, or AI libraries. Tech Stack & Tooling - React 18 • Next.js 14 • Node 20 • FastAPI • MongoDB Atlas • Redis • Docker • Kubernetes • Helm • Terraform • GitHub Actions • Prometheus + Grafana • OpenTelemetry • Python/Rust micro-services for ML inference

Role & responsibilities : Deploy, configure, and manage infrastructure across cloud platforms like AWS, Azure, and GCP. Automate provisioning and configuration using tools such as Terraform. Design and maintain CI/CD pipelines using Jenkins, GitLab CI, or CircleCI to streamline deployments. Build, manage, and deploy containerized applications using Docker and Kubernetes. Set up and manage monitoring systems like Prometheus and Grafana to ensure performance and reliability. Write scripts in Bash or Python to automate routine tasks and improve system efficiency. Collaborate with development and operations teams to support deployments and troubleshoot issues. Investigate and resolve technical incidents, performing root cause analysis and implementing fixes. Apply security best practices across infrastructure and deployment workflows. Maintain documentation for systems, configurations, and processes to support team collaboration. Continuously explore and adopt new tools and practices to improve DevOps workflows.

We are currently seeking a GCP Dev Ops Engr to join our team in Ban/Hyd/Chn/Gur/Noida, Karntaka (IN-KA), India (IN). Responsibilities Design, implement, and manage GCP infrastructure using Infrastructure as Code (IaC) tools. Develop and maintain CI/CD pipelines to improve development workflows. Monitor system performance and ensure high availability of cloud resources. Collaborate with development teams to streamline application deployments. Maintain security best practices and compliance across the cloud environment. Automate repetitive tasks to enhance operational efficiency. Troubleshoot and resolve infrastructure-related issues in a timely manner. Document procedures, policies, and configurations for the infrastructure. Skills Google Cloud Platform (GCP) Terraform Ansible CI/CD Kubernetes Docker Python Bash/Shell Scripting Monitoring tools (e.g., Prometheus, Grafana) Cloud Security Jenkins Git

Proficiency in Go programming language (Golang). Solid understanding of RESTful API design and microservices architecture. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Redis). Familiarity with container technologies (Docker, Kubernetes). Understanding of distributed systems and event-driven architecture. Version control with Git. Familiarity with CI/CD pipelines and cloud platforms (AWS, GCP, Azure). Experience with message brokers (Kafka, RabbitMQ). Knowledge of GraphQL. Exposure to performance tuning and profiling. Contributions to open-source projects or personal GitHub portfolio. Familiarity with monitoring tools (Prometheus, Grafana, ELK). Roles and Responsibilities Design, develop, and maintain backend services and APIs using Go (Golang). Write efficient, scalable, and reusable code. Collaborate with front-end developers, DevOps engineers, and product teams to deliver high-quality features. Optimize applications for performance and scalability. Develop unit and integration tests to ensure software quality. Implement security and data protection best practices. Troubleshoot and debug production issues. Participate in code reviews, architecture discussions, and continuous improvement processes.

Must have a minimum 1 yr exp in SRE (CloudOps), Google Cloud platforms (GCP), monitoring, APM, and alerting tools like Prometheus, Grafana, ELK, Newrelic, Pingdom, or Pagerduty, Hands-on experience with Kubernetes for orchestration and container mgt Required Candidate profile Mandatory expreience working in B2C Product Companies. Must have Experience with CI/CD tools e.g. (Jenkins, GitLab CI/CD, CircleCI TravisCI..)

Mandatory Skills SRE, DevOps, Scripting (Python/Bash/Perl), Automation Tools (Ansible/Terraform/Puppet), AWS Cloud, Docker, Kubernetes, Observability Tools (Prometheus/Grafana/ELK Stack/Splunk), CICD pipelines using GitLab Jenkins or similar tools Please share your resume to thulasidharan.b@ltimindtree.com Note: Only 0-30 days notice

We are seeking a highly experienced and technically profound Cloud Application Architect to drive our cloud-first digital transformation initiatives. This pivotal role involves leading the design, development, and modernization of our enterprise application portfolio to deliver modern, scalable, secure, and business-aligned cloud-native solutions. The ideal candidate will possess a deep, hands-on technical background in application architecture, with a focus on transforming legacy systems into agile, customer-centric, and cloud-optimized experiences within either the Microsoft or Java enterprise stack. This role is critical for shaping our application landscape, ensuring robust end-to-end design, and guiding development teams through complex architectural challenges in a dynamic, cloud-first environment. Key Responsibilities As a Senior Cloud Application Architect, you will: Define Cloud-Native Application Architectures: Lead the definition, design, and implementation of comprehensive cloud-native application architectures and strategic modernization roadmaps for critical enterprise systems, primarily leveraging AWS EKS, Azure AKS, and serverless functions (e.g., AWS Lambda, Azure Functions). Own End-to-End Application Design: Hold ultimate accountability for the end-to-end application design, ensuring solutions meet stringent requirements for scalability (handling high transaction volumes), performance (low latency), robust security (integrating DevSecOps principles like SAST/DAST, Zero Trust), and high reliability (achieving stringent uptime targets). Guide Microservices/API Architecture & Containerization: Provide senior technical guidance and mentorship to multiple distributed project teams on advanced microservices and API-first design patterns, including choreography vs. orchestration, eventual consistency, and idempotent API design. Lead the adoption and implementation of Docker containerization and Kubernetes orchestration (AKS/EKS) for efficient application deployment and management. Develop Deployment & Operational Strategy: Define and enforce declarative deployment strategies (e.g., GitOps with ArgoCD/FluxCD). Design application-level disaster recovery and business continuity plans, including multi-region deployments with active-active/active-passive patterns and automated failover mechanisms. Collaborate Cross-Functionally: Collaborate extensively as a strategic partner with cross-functional teams including software developers (Java/.NET), product owners, business analysts, DevOps engineers, security specialists, and infrastructure teams. Translate complex business requirements into clear, actionable technical specifications. Lead Technical Design Sessions & Governance: Lead high-stakes technical design sessions, facilitate architecture review boards (ARB), and prepare comprehensive architectural documentation (e.g., Architecture Decision Records (ADRs), sequence diagrams, data flow diagrams) to ensure alignment, maintain architectural integrity, and govern new feature implementations. Support Build vs. Buy & Tool Selection: Actively support critical build vs. buy analyses for new functionalities. Evaluate, select, and champion various cloud services (PaaS, SaaS) and third-party tools (e.g., API Management gateways, caching solutions, message brokers) based on technical fit, business needs, and cost efficiency. Conduct and present Proof-of-Concepts (PoCs) for emerging technologies and strategic platform integrations. Drive DevSecOps & Observability Integration: Champion the integration of advanced DevSecOps practices, from "shift-left" security to automated CI/CD pipelines. Implement comprehensive application observability solutions (e.g., Prometheus, Grafana, Application Insights) to monitor SLOs/SLIs, diagnose performance issues, and proactively ensure system health. Optimize Application-Level Costs: Design and optimize application architectures to maximize cloud cost efficiency, leveraging serverless computing, right-sizing container workloads, and implementing intelligent autoscaling policies. Mentor & Foster Innovation: Mentor junior and mid-level developers and architects on cloud-native development best practices, application refactoring techniques, and effective utilization of cloud services. Explore and prototype the integration of emerging technologies (e.g., AI/ML, Generative AI) for intelligent features and digital workflow automation. Qualifications: Education: Bachelors or Masters degree in Computer Science, Engineering, Information Technology, or a related field. Experience: 1 12+ years of progressive experience in application architecture, with a significant and demonstrable focus on cloud-native application design, digital-first transformations, and modernizing enterprise software. Application Development Background: Strong application background with hands-on experience in either the Microsoft (.NET Core, ASP.NET) or Java (Spring Boot, J2EE) enterprise/product software architecture. Cloud Platform Expertise: Proven experience delivering cloud-first solutions using public cloud platforms (AWS, Azure are preferred; GCP experience is a plus), with a deep understanding of their PaaS and IaaS offerings relevant to application development. Modern Application Design Principles: Deep knowledge and hands-on experience with microservices, API-driven development, event-driven architecture, serverless computing, and domain-driven design. Containerization & Orchestration: Expertise in Docker and Kubernetes (EKS, AKS), including deployment strategies and operational best practices for containerized applications. Agile, DevOps, & CI/CD: Strong understanding and practical experience with agile delivery models, comprehensive DevOps practices, and continuous integration/deployment (CI/CD) pipelines. Communication & Stakeholder Management: Excellent communication, presentation, and stakeholder management skills, with a proven ability to bridge technical and business perspectives, and advise senior leadership. Leadership & Governance: Extensive experience in leading cross-functional development and architecture teams, managing architectural governance, and mentoring engineers in large-scale programs. Preferred Skills: Cloud Certifications: Relevant cloud certifications (e.g., AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, Certified Kubernetes Application Developer - CKAD). Enterprise Architecture Frameworks: Knowledge of enterprise architecture frameworks (e.g., TOGAF) in the context of digital transformation. Observability Tools: Experience with comprehensive observability solutions for applications (e.g., Prometheus, Grafana, Datadog, Application Insights, distributed tracing tools like Jaeger). Security by Design: Direct experience implementing security best practices at the application architecture level (e.g., OWASP, threat modeling, secure coding standards). AI/ML Integration: Experience with integrating analytics, personalization, and AI/ML capabilities into application architectures. Low-Code/No-Code Platforms: Exposure to low-code/no-code development tools and digital workflow automation platforms.

Our world is transforming, and PTC is leading the way.Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business. Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible. PTC is looking for hands-on engineer, experienced with site reliability and operations , for a leading CAD SaaS solution. As part of your job at PTC, you will: Collaborate with multiple teams, to monitor & observe their cloud-deployed services Implement automated pipelines for deployment into cloud environment Implement monitoring & observability solutions Handle incidents and changes Troubleshoot and resolve production issues Conduct post-mortems Handle security incidents Job requirements: Proven experience working in Cloud DevOps and Site Reliability Engineering Ability to develop observability solutions using DataDog, or ELK, Prometheus and Grafana Great communication skills, written and verbal Strong hands-on skills to support Security in Cloud environment Experience and knowledge in cloud architecture reviews, SaaS processes and handling security incidences Advantage – knowledge and experience with Azure Why PTC? Life at PTC is about more than working with today’s most cutting-edge technologies to transform the physical world. It’s about showing up as you are and working alongside some of today’s most talented industry leaders to transform the world around you. If you share our passion for problem-solving through innovation, you’ll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us? Website: https://www.ptc.com LinkedIn: https://www.linkedin.com/company/ptcinc/ Facebook Page: https://www.facebook.com/ptc.inc/ Twitter Handle: @LifeatPTC '@PTC Instagram: ptc_inc Hashtag: #lifeatPTC Life at PTC is about more than working with today’s most cutting-edge technologies to transform the physical world. It’s about showing up as you are and working alongside some of today’s most talented industry leaders to transform the world around you. If you share our passion for problem-solving through innovation, you’ll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us? We respect the privacy rights of individuals and are committed to handling Personal Information responsibly and in accordance with all applicable privacy and data protection laws. Review our Privacy Policy here ."

We are seeking a highly skilled Devops Engineer to join our dynamic development team. In this role, you will be responsible for designing, developing, and maintaining both frontend and backend components of our applications using Devops and associated technologies. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performing software solutions that meet our business needs. The ideal candidate will have a strong background in devops, experience with modern frontend frameworks, and a passion for full-stack development. Requirements : Bachelor's degree in Computer Science Engineering, or a related field. 5 to 9+ years of experience in full-stack development, with a strong focus on DevOps. DevOps with AWS Data Engineer - Roles & Responsibilities: Use AWS services like EC2, VPC, S3, IAM, RDS, and Route 53. Automate infrastructure using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation . Build and maintain CI/CD pipelines using tools AWS CodePipeline, Jenkins,GitLab CI/CD. Cross-Functional Collaboration Automate build, test, and deployment processes for Java applications. Use Ansible , Chef , or AWS Systems Manager for managing configurations across environments. Containerize Java apps using Docker . Deploy and manage containers using Amazon ECS , EKS (Kubernetes) , or Fargate . Monitoring & Logging using Amazon CloudWatch,Prometheus + Grafana,E Stack (Elasticsearch, Logstash, Kibana),AWS X-Ray for distributed tracing manage access with IAM roles/policies . Use AWS Secrets Manager / Parameter Store for managing credentials. Enforce security best practices , encryption, and audits. Automate backups for databases and services using AWS Backup , RDS Snapshots , and S3 lifecycle rules . Implement Disaster Recovery (DR) strategies. Work closely with development teams to integrate DevOps practices. Document pipelines, architecture, and troubleshooting runbooks. Monitor and optimize AWS resource usage. Use AWS Cost Explorer , Budgets , and Savings Plans . Must-Have Skills: Experience working on Linux-based infrastructure. Excellent understanding of Ruby, Python, Perl, and Java . Configuration and managing databases such as MySQL, Mongo. Excellent troubleshooting. Selecting and deploying appropriate CI/CD tools Working knowledge of various tools, open-source technologies, and cloud services. Awareness of critical concepts in DevOps and Agile principles. Managing stakeholders and external interfaces. Setting up tools and required infrastructure. Defining and setting development, testing, release, update, and support processes for DevOps operation. Have the technical skills to review, verify, and validate the software code developed in the project. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

Key skills and expertise: 5+yrs of experience working with Microsoft Power Platform and Dynamics and working with highly scalable and reliable servers Spend considerable time on Production management, including incident and problem management, capacity management, monitoring, event management, change management and plant hygiene. Troubleshooting issues across the entire Technology stack: hardware, software, application and network. • Participating in on-call rotation, periodic maintenance calls with other specialists from other timezones. Proactively identifying and addressing system reliability risks. Working closely with development teams to design, build and maintain systems from a reliability, stability and resiliency perspective. Identifying and driving opportunities to improve automation for our platforms, scope and create automation for deployment, management, and visibility of our services. Representing the RPE organization in the design reviews, operations readiness exercises for the new and existing products/services Technical Skills: Enterprise tools like Promethus, Grafana, Splunk and Apica UNIX/Linux Support and Cloud based services Ansible, Github, or any automation/configuration/release management tools Automation experience scripting languages such as Python, Bash, Perl and Ruby (one of the languages sufficient) Awareness of, ability to reason about modern software and systems architecture, including load balancing, databased, queueing, caching, distributed systems failure modes, microservices, cloud etc. Experience of Azure networks, ServiceBus, Azure Virtual machines, and AzureSQL will be an advantage.

About The Role : Job Title:ELK & Grafana Architect Design, implement, and optimize ELK solutions to meet data analytics and search requirements. Collaborate with development and operations teams to enhance logging capabilities. Implement and configure components of the Elastic Stack, including Filebeat, Metricbeat, Winlogbeat, Logstash, and Kibana. Create and maintain comprehensive documentation for Elastic Stack configurations and processes. Ensure seamless integration between various Elastic Stack components. Develop and maintain advanced Kibana dashboards and visualizations. Design and implement solutions for centralized logs, infrastructure health metrics, and distributed tracing for different applications. Implement Grafana for visualization and monitoring, including Prometheus and Loki for metrics and logs management. Build detailed technical designs related to monitoring as part of complex projects. Ensure engagement with customers and deliver business value. Requirements: 6+ years of experience as an ELK Architect/Elastic Search Architect. Hands-on experience with Prometheus, Loki, OpenTelemetry, and Azure Monitor. Experience with data pipelines and redirecting Prometheus metrics. Proficiency in scripting and programming languages such as Python, Ansible, and Bash. Familiarity with CI/CD deployment pipelines (Ansible, GIT). Strong knowledge of performance monitoring, metrics, capacity planning, and management. Excellent communication skills with the ability to articulate technical details to different audiences. Experience with application onboarding, capturing requirements, understanding data sources, and architecture diagrams. Experience with OpenTelemetry monitoring and logging solutions. 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc

Design Containerized & cloud-native Micro services Architecture Plan & Deploy Modern Application Platforms & Cloud Native Platforms Good understanding of AGILE process & methodology Plan & Implement Solutions & best practices for Process Automation, Security, Alerting & Monitoring, and Availability solutions Should have good understanding of Infrastructure-as-code deployments Plan & design CI/CD pipelines across multiple environments Support and work alongside a cross-functional engineering team on the latest technologies Iterate on best practices to increase the quality & velocity of deployments Sustain and improve the process of knowledge sharing throughout the engineering team Keep updated on modern technologies & trends, and advocate the benefits Should possess good team management skills Ability to drive goals / milestones, while valuing & maintaining a strong attention to detail Excellent Judgement, Analytical & problem-solving skills Excellent in communication skills Experience maintaining and deploying highly-available, fault-tolerant systems at scale Practical experience with containerization and clustering (Kubernetes/OpenShift/Rancher/Tanzu/GKE/AKS/EKS etc) Version control system experience (e.g. Git, SVN) Experience implementing CI/CD (e.g. Jenkins, TravisCI) Experience with configuration management tools (e.g. Ansible, Chef) Experience with infrastructure-as-code (e.g. Terraform, Cloud formation) Expertise with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda) Container Registry Solutions (Harbor, JFrog, Quay etc) Operational (e.g. HA/Backups) NoSQL experience (e.g. Cassandra, MongoDB, Redis) Good understanding on Kubernetes Networking & Security best practices Monitoring Tools like DataDog, or any other open source tool like Prometheus, Nagios Load Balancer Knowledge (AVI Networks, NGINX) Location: Pune / Mumbai [Work from Office]

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. At least 3 years of experience in Java/J2EE, REST API, RDBMS At least 2 years of work experience in ReactJs. Ready for Individual contributor role and have done something similar in last 6 months. Fair understanding of Microservices, Cloud (Azure preferred) Practical knowledge of Object-Oriented Programming concepts and design patterns. Experience in implementation of Microservices, Service-oriented-architecture and multi-tier application platforms Good knowledge of JPA and SQL (preferable Oracle SQL) Experience working with RESTful Web Services Hands-on experience in tracing applications in distributed/microservices environment with usage of modern tools (Grafana, Prometheus, Splunk, Zipkin, Elasticsearch, Kibana, Logstash or similar) Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver No Performance Parameter Measure 1 Process No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: .NET.

As a Principal Technical Specialist, you will design, develop, implement software solutions, working with technologies such as Spring Boot, MongoDB, RabbitMQ, and Kafka. You will troubleshoot and debug existing applications, optimize performance, and collaborate with cross-functional teams to deliver high-quality solutions in IoT, Telecom, or WiFi domains. You have: Graduate or Postgraduate in Engineering stream with 12+ years of experience in high-end Java-based applications in a cloud environment. Expertise in coding with Java 8, Spring Boot, and its advanced features. Hands-on experience with MongoDB or NoSQL databases. Proficiency with Docker, Kubernetes, and cloud environments such as RHEL and OpenShift. Expertise in troubleshooting JVM issues and optimizing performance at the application level. Experience with tools like Hazelcast, Eureka, Grafana, Prometheus, and Minio for scalability and monitoring. Experience in designing and modeling application performance and scalability, particularly in distributed systems. Familiarity with emergency case handling and swift problem restoration within the SW Care process. It would be nice if you also had: Understanding of cloud-native application design principles, microservices, and service orchestration. Knowledge of Agile practices to foster collaboration and continuous integration. Design and implement software solutions, enhancing knowledge of Spring Boot, Java 8 features, and NoSQL databases like MongoDB. Improve expertise in messaging queues and distributed systems, including RabbitMQ, Kafka, and VerneMQ. Optimize application performance and scalability through troubleshooting and performance modeling. Learn advanced troubleshooting techniques for JVM, Docker, Kubernetes, and cloud environments such as RHEL/OpenShift. Work with a variety of tools, such as Hazelcast, Eureka, Grafana, and Prometheus, gaining insights into monitoring and cloud infrastructure. Collaborate with developers, product owners, and QA teams to improve communication and teamwork skills. Enhance the ability to solve complex problems by applying analytical thinking and judgment in a production environment. Stay up-to-date with emerging software trends and technologies to continuously innovate and improve solutions.

We are seeking a highly skilled Devops Engineer to join our dynamic development team. In this role, you will be responsible for designing, developing, and maintaining both frontend and backend components of our applications using Devops and associated technologies. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performing software solutions that meet our business needs. The ideal candidate will have a strong background in devops, experience with modern frontend frameworks, and a passion for full-stack development. Requirements : Bachelor's degree in Computer Science Engineering, or a related field. 6 to 10+ years of experience in full-stack development, with a strong focus on DevOps. DevOps with AWS Data Engineer - Roles & Responsibilities: Use AWS services like EC2, VPC, S3, IAM, RDS, and Route 53. Automate infrastructure using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation . Build and maintain CI/CD pipelines using tools AWS CodePipeline, Jenkins,GitLab CI/CD. Cross-Functional Collaboration Automate build, test, and deployment processes for Java applications. Use Ansible , Chef , or AWS Systems Manager for managing configurations across environments. Containerize Java apps using Docker . Deploy and manage containers using Amazon ECS , EKS (Kubernetes) , or Fargate . Monitoring & Logging using Amazon CloudWatch,Prometheus + Grafana,E Stack (Elasticsearch, Logstash, Kibana),AWS X-Ray for distributed tracing manage access with IAM roles/policies . Use AWS Secrets Manager / Parameter Store for managing credentials. Enforce security best practices , encryption, and audits. Automate backups for databases and services using AWS Backup , RDS Snapshots , and S3 lifecycle rules . Implement Disaster Recovery (DR) strategies. Work closely with development teams to integrate DevOps practices. Document pipelines, architecture, and troubleshooting runbooks. Monitor and optimize AWS resource usage. Use AWS Cost Explorer , Budgets , and Savings Plans . Must-Have Skills: Experience working on Linux-based infrastructure. Excellent understanding of Ruby, Python, Perl, and Java . Configuration and managing databases such as MySQL, Mongo. Excellent troubleshooting. Selecting and deploying appropriate CI/CD tools Working knowledge of various tools, open-source technologies, and cloud services. Awareness of critical concepts in DevOps and Agile principles. Managing stakeholders and external interfaces. Setting up tools and required infrastructure. Defining and setting development, testing, release, update, and support processes for DevOps operation. Have the technical skills to review, verify, and validate the software code developed in the project. Interview Mode : F2F for who are residing in Hyderabad / Zoom for other states Location : 43/A, MLA Colony,Road no 12, Banjara Hills, 500034 Time : 2 - 4pm

[Qualifications] BS in Computer Science or equivalent work experience 5+ years of relevant development experience[Primary Skills] Experienced in Java Experience in NoSQL, Docker, Kubernetes, Prometheus, Consul, ElasticSearch, Kibana, and any other CNCF technologies Knowledge of Linux and Bash Skilled in crafting distributed systems Understanding of concepts such as concurrency, parallelism, and event driven architecture Knowledge of Web technologies including REST and gRPC Intermediate knowledge of version control tools such as git and GitLaKeywords Java, NoSQL, Docker, Kubernetes, Prometheus, Consul, Elasticsearch, Kibana Python Nice to have.

The Site Reliability Engineer is a critical role in Cloud based projects. An SRE works with the development squads to build platform & infrastructure management/provisioning automation and service monitoring using the same methods used in software development to support application development. SREs create a bridge between development and operations by applying a software engineering mindset to system administration topics. They split their time between operations/on-call duties and developing systems and software that help increase site reliability and performance Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Overall 12+ yrs experience required. Have good exposure to Operational aspects (Monitoring, Automation, Remediations) - Monitoring tools exposure like New Relic, Prometheus, ELK, Distributed tracing, APM, App Dynamics, etc. Troubleshooting and documenting Root cause analysis and automate the incident Understands the Architecture, SRE mindset, Understands data model Platform Architecture and Engineering - Ability to design, architect a Cloud platform that can meet Client SLAs /NFRs such as Availability, system performance etc. SRE will define the environment provisions framework, identify potential performance bottlenecks and design a cloud platform Preferred technical and professional experience Effectively communicate with business and technical team members. Creative problem solving skills and superb communication Skill. Telecom domain experience is an added plus

Responsible for IT Infrastructure cross-platform technology areas demonstrating design and build expertise. Responsible for developing, architecting, and building AWS Cloud services with best practices, blueprints, patterns, high-availability and multi-region disaster recovery. Strong communication and collaboration skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 plus years of experience Must have 3 + yrs of relevant experience in Python/ Java, AWS, Terraform/(IaC) Experience in Kubernetes, Docker, Shell scripting. Experienced in scripting languages Python (not someone who can write small scripts Preferred technical and professional experience Experience using DevOps tools in a cloud environment, such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, and Sonar Qube Experience installing and configuring different application servers such as JBoss, Tomcat, and WebLogic Experience using monitoring solutions like CloudWatch, ELK Stack, and Prometheus

Review and implement functional business requirements and non-functional technical requirements Translate business requirements into technical design documents and drive implementation with developers Research and analyze new technologies to be used (e.g., Libraries, IDE’s, tools) Develop high-level architecture and detailed design for application stack – backend Assist engineering and operational teams in debugging critical production problems Perform application code review, ensure creation and maintenance of appropriate artifacts for architecture and design work Develop back-end portions of web services. You will primarily focus on building backend REST API services. Work to implement server-side or application logic and design architectures. Create and talk to REST services. Shift between multiple projects and technologies. Write clean code and test it throughout the development process to ensure the quality is up to standards. Work on software that is used by millions of people all around the world is a challenge that you're willing to tackle. Perform peer reviews and mentor the team to evolve into backend developers. Encourage a self-motivated squad model of working from handling design, development, test and operations for the micro services. Required education Bachelor's Degree Required technical and professional expertise Kubernetes: Deep knowledge of Kubernetes architecture, pods, deployments, services, and persistent volumes. Storage Classes & Volumes: How Kubernetes manages persistent storage and snapshots. Networking Basics: Understanding Kubernetes networking Container Storage Interface (CSI): Familiarity with how storage plugins work in Kubernetes. CI/CD Pipelines: Integrating backup/restore into automation pipelines using Jenkins , GitHub action , travis etc. Scripting: Proficiency in Bash , Python , or Go for writing automation scripts. Disaster Recovery: Designing and implementing DR solutions for containerized environments. Data Replication: Understanding of synchronous and asynchronous replication techniques. Access Control: Implementing RBAC (Role-Based Access Control) in Kubernetes. Good to have: Compliance Knowledge: GDPR, HIPAA, or other data protection regulations relevant to backup data. Monitoring & Logging: Using tools like Prometheus , Grafana , ICD to monitor backup jobs and system health. Backup Tools: Experience with tools like Velero , Kasten K10 , Rsync , Restic , or Portworx for Kubernetes. Should have 5+ experience on Back end services development and Microservices Architecture. Proven experience implementing distributed applications in a container environment (Docker/Kubernetes) along with considerable experience configuring and administrating Linux (or other Unix-like) systems Software engineering experience designing Enterprise Cloud Applications with Go Lang, C, C++, Python etc., Proven experience in REST API development experience (APIs like REST / RESTful APIs). Expertise in defining business architecture, business process definition & modelling, use cases, and requirements definition, and associated best practice processes for defining these artifacts Proven proficiency in grasping requirements and building illustrative features with minimal specifications Experience working in agile development environments. Preferred technical and professional experience Understanding of Networking concepts and experience in Network development. Understanding of cloud storage concepts and experience in cloud storage development. Knowledge of security and compliance standards & requirements

At IBM, we are driven to shift our technology to an as-a-service model and to help our clients transform themselves to take full advantage of the cloud. With industry leadership in AI, analytics, security, commerce, and quantum computing and with unmatched hardware and software design and industrial research capabilities, no other company is as well positioned to address the full opportunity of enterprise cloud computing. We are looking for a backend developer to join our IBM Cloud VPC Observability team. This team is part of IBM Cloud VPC Service dedicated to ensuring that the IBM Cloud is at the forefront of reliable enterprise cloud technology. We are building Observability platforms to deliver performance, reliability and predictability for our customers' most demanding workloads, at global scale and with leadership efficiency, resiliency and security. In this role, you will be responsible for producing and enhancing features that collect, transform, and surface data on the various components of our cloud. The ability to take in requirements on an agile basis and be able to work autonomously with high level perspective is a must. You understand cloud native concepts and have experience with highly tunable and scalable Kubernetes based cloud deployments. You will participate in the design of the service, writing tools and automation, building containers, developing tests, determining monitoring best practices and handling complex escalations. If you are the kind of person who is collaborative, able to handle responsibility and enjoys not only sharing a vision but getting your hands dirty to be sure that the vision is made a reality in a fast-paced, challenging environment, then we want to talk to you! Required education Bachelor's Degree Required technical and professional expertise Bachelor's in Engineering, Computer Science, or relevant experience 2+ years experience and expertise in programming atleast in one language Python/Go/Node.js 1+ years experience in developing and deploying applications on Kubernetes and containerization technologies like Docker 2+ years familiarity with working in a CICD environment 2+ years experience with developing and operating highly available, distributed applications in production environments on Kubernetes Experience with building automated tests, handling customer escalations, 1+ years experiencewith managing service dependencies via Terraform or Ansible At least 2 years of experience coding and troubleshooting applications written in Go, Python, Node.js, Express.js. 1+ years experience in operating with secure principles At least 3 years of experience with micro-service development At least 1 years' experience with no-sql database systems such as MongoDB At least 1 years' experience with operating, configuring, and developing with caching systems like redis Proven understanding of REST principles and architecture Familiarity with working with Cloud services (IBM Cloud, GCP, AWS, Azure) Preferred technical and professional experience Advanced Experience with Kubernetes Experience with development on PostgreSQL, Kafka, Elastic, MySQL, Redis, or MongoDB 2 years experience with managing Linux machines using Configuration management (eg, Chef, Puppet, Ansible). Debian experience is preferred 2+ years experience with ability to automate using scripting languages like Python, Shell Experience with troubleshooting, using and configuring Linux systems 2+ years experience with infrastructure automation 2+ years experience with using monitoring tooling like Grafana, Prometheus

Understand product vision and business needs to define product requirements and product architectural solutions. Use tools and methodologies to create representations for functions and user interface of desired product Develop high-level product specifications with attention to system integration and feasibility Define all aspects of development from appropriate technology and workflow to coding standards Communicate successfully all concepts and guidelines to development team Ensure software meets all requirements of quality, security, modifiability, extensibility etc. Collaborate with other professionals to determine functional and non-functional requirements for new software or applications Provide support for production escalations and problem resolution for customers. Analyse requirements, design develop & maintain software products in alignment with the technology strategy of the organization Participate in technical reviews of requirements, specifications, designs, code and other artifacts. Ensure commitments are agreed, reviewed and met. Learn new skills and adopt new practices readily in order to develop innovative and cutting-edge software products that maintain Company's technical leadership position. Plan, develop and manage the infrastructure to enable strategic and effective use of tools. Lead the evaluation/evolution of tools/technologies/programs with input from internal teams, external developers. Proactively identifying issues and improvement opportunities. Directing resources to diagnose and resolve complex system, application software, security and related problems that impact system and availability. Required education Bachelor's Degree Required technical and professional expertise 1. Requires 10-15 years of experience. 2. Experience in Python/GoLang and REST APIs 3. Ability to write shell scripts - Automation 4. Experience in Cloud services and technologies like VPC, Gateways, NACL, security group. 5. Experience in Network debugging and Network routing protocols such as BGP, ISIS and others 6. Experience in DevOps and Site Reliability Engineering. 7. Understanding of Microservice Architecture, Docker, Kubernetes, and other cloud native technologies. 8. Debugging/Monitoring knowledge of Cloud Native Applications using Devops Tools such as Prometheus, NewRelic, Instana and others. 9. Experience in building, architecting, designing/implementing highly distributed global cloud-based systems. 10.Knowledge of technology solutions and ability to learn, understand and work quickly with new emerging technologies, methodologies and solutions in Cloud technology space. 11.Ability to deliver results and work cross-functionally. Ability to engage /influence audiences and identity expansion engagements. Preferred technical and professional experience Networking protocol knowledge ( TCPIP, IPTABLES, ROUTING MODELS ) Cloud Concepts – VPC, Subnet, Floating Ips

We are looking forSoftware Developerwith container platform and systems-level experience to join ourFabric Development team inIndia, Bangalore We seek individuals who innovate & share our passion for winning in the cloud marketplace. The Fabric Development team is a team dedicated to ensuring that the IBM Cloud is at the forefront of cloud technology, from bootstrapping data centres, to application architecture, to flexible infrastructure services. We are running IBM's next generation cloud platform to deliver performance and predictability for our customers' most demanding workloads, at global scale and with leadership efficiency, resiliency and security. It is an exciting time, and as a team we are driven by this incredible opportunity to thrill our clients. Design and developing innovative, company and industry impacting services using open source and commercial technologies at scale Designing and architecting enterprise solutions to complex problems Presenting technical solutions and designs to engineering team Following compliant procedures and secure engineering best practices Collaboration and review of technical designs with architecture and offering management Taking ownership and keen involvement in projects that vary in size and scope depending on requirements. Writing and executing unit, functional, and integration test cases Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of experience as a SW Developer, with a focus on Python and Ansible. 3+ years of experience in Ansible for automation and configuration management. Strong Python programming skills for scripting and automation tasks. 3+ years In-depth knowledge of networking protocols and security principles. Experience with security tools and best practices. 3+ years experience with CI/CD pipelines and Ansible CI/CD practices. 3+ years of experience with Kuberneters, Docker deployments Familiarity with Agile development methodologies. Experience with cloud platforms Excellent problem-solving skills and attention to detail. Strong communication and team collaboration skills. Demonstrated skills with troubleshooting, debugging and maintaining code Preferred technical and professional experience Familiarity with CI/CD pipelines.Experience with version control systems (e.g., Git). Experience with Ansible Collections and writing custom Ansible modules. Experience with monitoring and logging tools for load balancers (Prometheus, Grafana, ELK Stack). An understanding and hands on experience with networking methodologies

Practical experience with containerization and clustering (Kubernetes/OpenShift/Rancher/Tanzu/GKE/AKS/EKS etc). Version control system experience (e.g. Git, SVN) Experience implementing CI/CD (e.g. Jenkins). Experience with configuration management tools (e.g. Ansible, Chef) . Container Registry Solutions (Harbor, JFrog, Quay etc) . Good understanding on Kubernetes Networking & Security best practices Monitoring Tools like DataDog, or any other open source tool like Prometheus, Nagios, ELK. Mandatory Skills: Hands on Exp on Kubernetes and Kubernete Networking.