182 Elk Stack Jobs - Page 6

Mandatory Skills & Experience : - Expertise in designing and optimizing machine-learning operations, with a preference for LLM Ops. - Proficient in Data Science, Machine Learning, Python, SQL, Linux/Unix shell scripting. - Experience on Large Language Models and Natural Language Processing (NLP), and experience with researching, training, and fine-tuning LLMs. - Contribute towards fine-tune Transformer models for optimal performance in NLP tasks, if required. - Implement and maintain automated testing and deployment processes for machine learning models w.r.t LLMOps. - Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows. - Develop and maintain robust monitoring and alerting systems for generative AI models ensuring proactive identification and resolution of issues. - Research or engineering experience in deep learning with one or more of the following : generative models, segmentation, object detection, classification, model optimisations. - Experience implementing RAG frameworks as part of available-ready products. - Experience in setting up the infrastructure for the latest technology such as Kubernetes, Serverless, Containers, Microservices etc. - Experience in scripting/programming to automate deployments and testing, working on tools like Terraform and Ansible. - Scripting languages like Python, bash, YAML etc. - Experience on CI/CD opensource and enterprise tool sets such as Argo CD, and Jenkins (others like Jenkins X, Circle CI, Argo CD, Tekton, Travis, Concourse an advantage). - Experience with the GitHub/DevOps Lifecycle. - Experience in Observability solutions (Prometheus, EFK stacks, ELK stacks, Grafana, Dynatrace, AppDynamics). - Experience in at-least one of the clouds for example Azure/AWS/GCP. - Significant experience on microservices-based, container-based or similar modern approaches of applications and workloads. - You have exemplary verbal and written communication skills (English). - Able to interact and influence at the highest level, you will be a confident presenter and speaker, able to command the respect of your audience. Desired Skills & Experience : - Bachelor level technical degree or equivalent experience; Computer Science, Data Science, or Engineering background preferred; Master's Degree desired. - Experience in LLM Ops or related areas, such as DevOps, data engineering, or ML infrastructure. - Hands-on experience in deploying and managing machine learning and large language model pipelines in cloud platforms (i.e., AWS, Azure) for ML workloads. - Familiar with data science, machine learning, deep learning, and natural language processing concepts, tools, and libraries such as Python, TensorFlow, PyTorch, NLTK etc. - Experience in using retrieval augmented generation and prompt engineering techniques to improve the model's quality and diversity to improve operations efficiency. - Proven experience in developing and fine-tuning Language Models (LLMs). - Stay up-to-date with the latest advancements in Generative AI, conduct research, and explore innovative techniques to improve model quality and efficiency. - The perfect candidate will already be working within a System Integrator, Consulting or Enterprise organisation with 8+ years of experience in a technical role within the Cloud domain. - Deep understanding of core practices including SRE, Agile, Scrum, XP and Domain Driven Design. - Familiarity with the CNCF open-source community. - Enjoy working in a fast-paced and dynamic environment using the latest technologies.

We are looking for an experienced DevOps Architect to lead the design, development, and maintenance of scalable DevOps solutions. The ideal candidate will have deep expertise in cloud platforms, CI/CD pipelines, automation frameworks, and infrastructure-as-code (IaC) principles. You will work closely with development, IT operations, and security teams to streamline processes and enhance the reliability and scalability of our applications. Key Responsibilities: Architect and Implement : Design and implement scalable, secure, and high-performance DevOps pipelines. Infrastructure as Code (IaC): Manage infrastructure using tools like Terraform, CloudFormation, or Ansible. CI/CD Management : Build and maintain robust CI/CD pipelines for automated testing, integration, and deployment. Cloud Management: Architect solutions on cloud platforms such as AWS, Azure, or GCP. Monitoring and Logging: Set up monitoring tools (Prometheus, Grafana, ELK Stack) to ensure application reliability and performance. Security and Compliance : Implement security best practices in CI/CD pipelines, infrastructure, and cloud environments. Collaboration : Work closely with development and operations teams to automate and optimize their workflows. Documentation : Maintain clear documentation of architecture, configurations, and processes. Skills and Qualifications: Technical Skills: Proficiency in cloud platforms: AWS, Azure, or GCP. Expertise in CI/CD pipelines: Jenkins, GitLab CI, CircleCI, or similar. Hands-on experience with Infrastructure as Code (IaC): Terraform, CloudFormation, Ansible. Strong scripting skills: Bash, Python, or PowerShell. Knowledge of containerization and orchestration: Docker, Kubernetes. Familiarity with monitoring and logging tools: Prometheus, Grafana, ELK Stack. Solid understanding of networking, security, and performance optimization. Soft Skills: Excellent problem-solving and troubleshooting abilities. Strong communication and collaboration skills. Ability to work in an agile environment and adapt to change.

Skills Required: Technical areas (hands-on experience in academic projects/internships) Experience with Kubernetes, Jenkins, Gitlab, Github, CI/CD, Terraform, Linux, Bash, Python, AWS, GCP, GKE, and EKSUnderstanding of Public/Private/Hybrid Cloud Solutions. Own the responsibility for platform management, supporting services, and all related tooling and automation. Proficient in cloud-native technologies, automation, and containerization. Experience in setting up and managing cloud infrastructure and services for a wide range of Applications. Some experience in ReactJS / NodeJS, PHP, Phyton and UNIX shell,so a background in system- oriented languages is important. Managing and deploying cloud-native applications on Kubernetes clusters, Setting CI/CD pipelines in (Jenkins, Gitlab, Github), Databases Migration (MySQL, Postgresql, Cassandra), Setting up Monitoring (Grafana, Loki, Prometheus, Mimir, ELK Stack). Certified in Kubernetes and Jenkins.Experienced in using Terraform to automate infrastructure provisioning. We are looking for bright, passionate, and dedicated people with clearly demonstrated initiative and a history of success in their past positions to join our growing team.

Position Overview : - As a Senior Engineer (Back End), you will be responsible for developing new features, enhancing existing ones, and providing ongoing support in production. - Additionally, you will build reusable libraries and technology platforms that address multiple use cases. - You will work towards achieving specific milestones and objectives within a dynamic environment. Roles and Responsibilities : - Collaborate with development team leads on assigned tasks. - Communicate effectively and work with minimal guidance from the leads. - Be a team player, eager to explore new technologies. - Navigate the challenges of a fast-paced technical environment. Must-Have Skills : - 7+ years of software development experience. - Strong expertise in "Go" programming language. - Solid understanding of various design principles. - In-depth knowledge of Linux OS (memory, instruction processing, filesystem, system daemons, etc.). - Proficient in Linux command line and shell scripting. - Familiarity with servers (nginx, apache, etc.), proxy servers, and load balancing. - Knowledge of service-based architecture and microservices. - Working knowledge of AV codecs, MpegTS, and adaptive streaming technologies like Dash and HLS. - Strong understanding of computer networking concepts. - Experience with relational databases. - Excellent analytical and debugging skills. - Knowledge of Git or other version control systems. Good-to-Have Skills : - Familiarity with Core Java and Python is preferred. - Exposure to cloud computing is a plus. - Experience with API or video streaming performance testing is an advantage. - Experience with Elasticsearch and Kibana (ELK Stack) is preferred. - Proficiency in at least one modern web front-end framework such as React JS is a bonus. - Experience with messaging systems like RabbitMQ is a plus. Qualification : - Bachelor's degree in Computer Science, Engineering, or a related field.

Key Responsibilities Design, develop, and maintain scalable microservices using Python, Go, or Node.js. Build and maintain RESTful APIs to support web and mobile applications. Develop event-driven and asynchronous systems using Apache Kafka. Deploy and manage services using Kubernetes in AWS cloud environments. Work with SQL and NoSQL databases to store and retrieve data efficiently. Write clean, maintainable, and well-tested code following Test-Driven Development (TDD) practices. Ensure systems are fault-tolerant, scalable, and performant under load. Collaborate cross-functionally with frontend engineers, DevOps, and product teams. Participate in code reviews, architecture discussions, and team ceremonies. Continuously improve system design and development workflows. Required Skills & Qualifications 4-7 years of professional backend development experience. Proficiency in Python, Go, or Node.js (at least one language required). Strong understanding and hands-on experience with Microservices architecture. Experience with Kafka or other messaging systems (e.g., RabbitMQ). Solid understanding of both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB) databases. Working experience with AWS services (e.g., EC2, S3, RDS, Lambda). Hands-on experience with Kubernetes and containerized application deployment. Proven experience in writing and maintaining RESTful APIs. Commitment to Test-Driven Development (TDD) and clean coding practices. Strong debugging, problem-solving, and analytical skills. Ability to thrive in a fast-paced, dynamic startup environment. Familiarity with observability and monitoring tools (e.g., Prometheus, Grafana, ELK Stack). Nice to Have Exposure to gRPC APIs. Familiarity with Large Language Models (LLMs) and their integration into applications. Experience with Voice Technologies, such as speech recognition, text-to-speech (TTS), conversational AI Understanding of real-time streaming and event-driven systems.

Position: Full Stack Developer [React & Node] Location: Kochi, Kerala Job Type: Full-time (Hybrid) Experience: 5+ Years Key Skills: Strong hands-on experience in Node.js and React.js Proficient in JavaScript and TypeScript for web development Experience with Next.js for server-side rendering and scalable frontend architecture Proven ability to build high-performance, scalable applications Solid understanding of RESTful APIs and microservices Familiarity with AWS and ELK Stack (preferred) Expertise in performance tuning and maintaining high code quality Ability to design technical solutions aligned with business needs

Position- Python Openstack (consultant) Exp- 5 to 8 years Location-Gurgaon Job Summary: We are seeking a skilled OpenStack and NFVI Engineer to design, implement, and manage cloud-based infrastructure solutions. The ideal candidate will have hands-on experience in deploying OpenStack environments and expertise in NFV, virtualization, and network functions. Key Responsibilities: Design, deploy, and maintain OpenStack-based private or hybrid cloud environments. Configure and optimize NFVI for high availability and performance to support VNFs (Virtualized Network Functions). Implement and manage virtualization technologies like KVM, VMware, or similar. Automate deployment, scaling, and maintenance using tools like Ansible, Terraform, or similar. Monitor and troubleshoot cloud infrastructure, ensuring minimal downtime and optimal performance. Collaborate with DevOps, network, and security teams to integrate OpenStack with CI/CD pipelines. Manage storage, compute, and network components of NFVI. Create documentation, including design specifications, operating procedures, and troubleshooting guides. Ensure compliance with industry standards for security and performance in NFVI environments. Required Skills and Qualifications: Technical Expertise: Strong experience with OpenStack architecture and services (Nova, Neutron, Cinder, Keystone, Glance, etc.). Knowledge of NFV architecture, ETSI standards, and VIM (Virtualized Infrastructure Manager). Hands-on experience with containerization platforms like Kubernetes or OpenShift. Familiarity with SDN (Software-Defined Networking) solutions such as OpenDaylight or Tungsten Fabric. Experience with Linux-based systems and scripting languages (Python, Bash, etc.). Understanding of networking protocols (e.g., VXLAN, BGP, OVS, SR-IOV). Knowledge of Ceph or other distributed storage solutions. Tools: Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack, etc.). Configuration management tools like Ansible, Puppet, or Chef. Proficiency in CI/CD tools (Jenkins, GitLab CI, etc.). Certifications (Preferred): OpenStack Certified Administrator (COA). Red Hat Certified Engineer (RHCE). VMware Certified Professional (VCP). Kubernetes certifications like CKA or CKAD. Soft Skills: Strong analytical and problem-solving skills. Excellent verbal and written communication. Ability to work collaboratively in a fast-paced environment.

We’re hiring a DevOps Head (10+ yrs exp) for our client in Mumbai/Pune. Hybrid role. Must have AWS/Azure, CI/CD, Terraform, Kubernetes & leadership experience. Share CV + CTC/NP/Location details. Apply now if you’re ready to lead at scale!

Notice Period: Immediate Joiners Preferred Primary Skills: AWS Cloud Architecture & Services Microservices Development & Architecture IoT Platforms and Protocols (MQTT, CoAP, etc.) Mobile Application Support (iOS, Android) Web Application Support (ReactJS, Angular, VueJS, etc.) RESTful API Design and Development Containerization (Docker, Kubernetes) CI/CD pipelines Monitoring & Logging (CloudWatch, ELK Stack, Grafana) Troubleshooting & Performance Tuning We are seeking an experienced AWS Microservices / IoT / Mobile & Web App Support Engineer to join our growing team in Noida. The ideal candidate will have a strong background in designing and supporting scalable cloud-native solutions and IoT systems, along with hands-on experience in providing ongoing support for web and mobile applications. Key Responsibilities: Design, develop, and support microservices-based architecture on AWS Provide end-to-end support and maintenance for IoT solutions Troubleshoot and optimize performance of Mobile & Web Applications Collaborate with DevOps to implement CI/CD pipelines Ensure high availability, scalability, and security of applications Manage containerized applications (Docker, Kubernetes) Proactively monitor system performance and implement improvements Work closely with cross-functional teams to resolve incidents and deploy enhancements Maintain detailed documentation for architectures and processes Preferred Qualifications: AWS Certification (Solutions Architect, Developer, or SysOps) is a plus Experience with AWS IoT Core, Greengrass Familiarity with Serverless Architectures (Lambda, API Gateway) Strong understanding of Cloud Security and IAM Policies Excellent communication and teamwork skills Please share your profile with the following details: Current CTC: Expected CTC: Notice Period: Total Experience: Relevant AWS / Microservices / IoT / Mobile & Web App Support Experience: Preferred Location:

In one sentence We are seeking a highly skilled and adaptable Senior Python Developer to join our fast-paced and dynamic team. The ideal candidate is a hands-on technologist with deep expertise in Python and a strong background in data engineering, cloud platforms, and modern development practices. You will play a key role in building scalable, high-performance applications and data pipelines that power critical business functions. You will be instrumental in designing and developing high-performance data pipelines from relational to graph databases, and leveraging Agentic AI for orchestration. Youll also define APIs using AWS Lambda and containerised services on AWS ECS. Join us on an exciting journey where you'll work with cutting-edge technologies including Generative AI, Agentic AI, and modern cloud-native architectureswhile continuously learning and growing alongside a passionate team. What will your job look like? Key Attributes: Adaptability & Agility Thrive in a fast-paced, ever-evolving environment with shifting priorities. Demonstrated ability to quickly learn and integrate new technologies and frameworks. Strong problem-solving mindset with the ability to juggle multiple priorities effectively. Core Responsibilities Design, develop, test, and maintain robust Python applications and data pipelines using Python/Pyspark. Define and implement smart data pipelines from RDBMS to Graph Databases. Build and expose APIs using AWS Lambda and ECS-based microservices. Collaborate with cross-functional teams to define, design, and deliver new features. Write clean, efficient, and scalable code following best practices. Troubleshoot, debug, and optimise applications for performance and reliability. Contribute to the setup and maintenance of CI/CD pipelines and deployment workflows if required. Ensure security, compliance, and observability across all development activities. All you need is... Required Skills & Experience Expert-level proficiency in Python with a strong grasp of Object oriented & functional programming. Solid experience with SQL and graph databases (e.g., Neo4j, Amazon Neptune). Hands-on experience with cloud platforms AWS and/or Azure is a must. Proficiency in PySpark or similar data ingestion and processing frameworks. Familiarity with DevOps tools such as Docker, Kubernetes, Jenkins, and Git. Strong understanding of CI/CD, version control, and agile development practices. Excellent communication and collaboration skills. Desirable Skills Experience with Agentic AI, machine learning, or LLM-based systems. Familiarity with Apache Iceberg or similar modern data lakehouse formats. Knowledge of Infrastructure as Code (IaC) tools like Terraform or Ansible. Understanding of microservices architecture and distributed systems. Exposure to observability tools (e.g., Prometheus, Grafana, ELK stack). Experience working in Agile/Scrum environments. Minimum Qualifications 6 to 8 years of hands-on experience in Python development and data engineering. Demonstrated success in delivering production-grade software and scalable data solutions.

We are seeking a skilled Performance Tester with expertise in the public safety domain to join our team. The ideal candidate will have a strong background in performance testing and experience working with public safety applications and systems. Telecome Domain is must Key Responsibilities: 6+ years of previous hands-on experience as Performance tester in telecom & public safety domain . Strong experience in performance test planning, test estimation, script development, test execution, test results analysis Executing and analyzing performance tests routinely and recording history of the results Programming skills in programming languages such as Bash scripting, perl, Java, Python, Groovy, ELK stack, GRAFANNA, Jenkins, Justle programming, Node Js and Linux Expertise in configuring performance counters using PerfMon tool to identify the bottlenecks for CPU, Memory, Disk IO, Network Experience with Database testing and tuning Understanding of Networking concepts at all layers Experience with New Relic monitoring tool Experience with Log Monitoring tools Lets Work Together

Educational Requirements MCA,MTech,Master of Business Administration,Bachelor of Engineering,BCA,BTech Service Line Cloud & Infrastructure Services Responsibilities As Tools SME Tools in SolarWinds/Splunk/Dynatrace/Devpops tool will work on Design, Setup and Configuration of Observability Platforms with Correlation, Anomaly Detection, Visualization and Dashboards, AI ops, Devops, Tool Integration : Collaborate with DevOps architects, development teams, and operations teams to understand their tool requirements and identify opportunities for optimizing the DevOps toolchain. Evaluate and recommend new tools and technologies that can enhance our DevOps capabilities context, considering factors like cost, integration, and local support. Lead the implementation, configuration, and integration of various DevOps tools, including CI/CD platforms (e.g., Jenkins, GitLab CI, Azure DevOps), infrastructure-as-code (IaC) tools (e.g., Terraform, Ansible), containerization and orchestration tools (e.g., Docker, Kubernetes), monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack), and testing framework Establish standards and best practices for the usage and management of the DevOps toolset Ensure the availability, performance, and stability of the DevOps toolchain Perform regular maintenance tasks, including upgrades, patching, and backups of the DevOps tools. Provide technical support and troubleshooting assistance to development and operations teams regarding the usage of the DevOps tools. Monitor the health and performance of the toolset and implement proactive measures to prevent issues. Design and implement integrations between different tools in the DevOps pipeline to create seamless and automated workflows Develop automation scripts and utilities to streamline tool provisioning, configuration, and management within the environment. Work with development teams to integrate testing and security tools into the CI/CD pipeline. Additional Responsibilities: Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Technical and Professional Requirements: At least 6+ years of experience in Solarwinds or Splunk or Dynatrace or Devlops Toolset Proven experience with several key DevOps tools, including CI/CD platforms (e.g., Jenkins, GitLab CI, Azure DevOps), IaC tools (e.g., Terraform, Ansible), containerization (Docker, Kubernetes), and monitoring tools (e.g., Prometheus, Grafana, ELK stack). Good level knowledge of Linux environment Good working knowledge on YAML and Python Good working knowledge in Event correlation and Observability Good Communication skills Good analytical and problem-solving skills Preferred Skills: Technology->Infra_ToolAdministration-Others->Solarwinds Technology->Infra_ToolAdministration-Others->Splunk Admin Technology->DevOps->DevOps Architecture Consultancy Technology->Dynatrace->Digital Performance Management Tool

What you will do: Design, implement, and maintain observability solutions (logging, monitoring, tracing) for cloud-native applications and infrastructure. Develop and optimize diagnostics tooling to quickly identify and resolve system or application-level issues. Monitor cloud infrastructure to ensure uptime, performance, and scalability, responding promptly to incidents and outages. Collaborate with development, operations, and support teams to drive improvements in system observability and troubleshooting workflows. Lead root cause analysis for major incidents, driving long-term fixes to prevent recurrence. Resolve customer-facing operational issues in a timely and effective manner. Automate operational processes and incident response tasks to reduce manual interventions and improve efficiency. Continuously assess and improve cloud observability tools, integrating new features and technologies where vital. Create and maintain comprehensive documentation on cloud observability frameworks, tools, and processes Who you will work with As a member of the Site Reliability Engineering (SRE) team, you will collaborate with a diverse group of professionals across various functions and regions. You will work closely with: Software Engineering Teams: Partner with developers to ensure that new features and services are reliable, scalable, and observable from the outset. You'll participate in design reviews and contribute to the overall architecture to enhance system performance and reliability. Coordinate with SRE team to automate deployment processes, manage infrastructure as code, and ensure seamless deployment pipelines. Product Management: Engage with product managers to understand customer requirements and ensure that reliability and performance are integral parts of product roadmaps. DevOps and Infrastructure Teams: Customer Support: Collaborate with customer support teams to diagnose and resolve incidents, providing insights and tools that enable faster troubleshooting and improved user experiences. Security and Compliance Teams: Work alongside security experts to maintain compliance with industry standards, ensuring that all systems and processes adhere to security best practices. Global Network Operations Teams: Interact with global operations staff spread across India, Europe, Canada, and the USA to support 24/7 service reliability and incident response. Data Analytics and Reporting: Team up with data analysts to create meaningful dashboards and reports that provide insights Who you are: Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience. 8+ years of experience in cloud engineering, (SRE), or DevOps. Expertise with cloud platforms (AWS, Azure, GCP) and related monitoring/observability tools (e.g., Prometheus, Grafana, Datadog, ELK Stack). Strong experience with diagnostics and troubleshooting tools for cloud services. Proficient in scripting languages (Python, Bash, etc.) and infrastructure-as-code (Terraform, CloudFormation). Experience in operational incident management, including root cause analysis and post-mortem reviews. Solid understanding of containerization (Docker, Kubernetes) and microservices architecture. Knowledge of network performance monitoring and debugging techniques. Desire to solve complex problems Proactive in communicating and handling stakeholders remotely and in various time-zones Demonstrated ability to collaborate with Engineering teams.

Greetings from BCforward INDIA TECHNOLOGIES PRIVATE LIMITED. Contract To Hire(C2H) Role Payroll: BCforward Work Mode: Remote JD Java; Python; Google Kubernetes Engine (GKE); Openshift; Kubernetes; Docker; ELK Stack (Elastic Search, Logstash, Kibana) Expertise in java 8 and later. Python experience is a big plus.Google cloud experience - dataproc, dataflow, bigquery, pubsubexperience in containerization technologies - Kubernetes, Openshift, DockerCICD experience Experience using observability and monitoring tech stack - ELK or similar Please share your Updated Resume, PAN card soft copy, Passport size Photo & UAN History. Interested applicants can share updated resume to g.sreekanth@bcforward.com Note: Looking for Immediate to 15-Days joiners at most. All the best

Design and implement highly scalable ELK (ElasticSearch, Logstash, and Kibana) stack and ElastiCache solutions Grafana: Create different visualization and dashboards according to the Client needs Experience of scripting languages like JavaScript, Python, PowerShell, etc. Should be able to work with API, shards etc. in Elasticsearch. Architecting data structures using Elastic Search and ElastiCache Query languages and writing complex queries with joins that deals with a large amount of data End to end Low-level design, development, administration, and delivery of ELK based reporting solutions Strong exposure to writing talend queries. Elastic query for data Analysis Creating Elasticsearch index templates. Index life cycle management Managing and monitoring Elasticsearch cluster Experience with Analyzers & Shards Experience in solving performance issues on large set of data indexes Strong expertise in Python scripting Strong experience in installing and configuring ELK on bare metal and clouds (GCP, AWS & AZURE) Strong experience in using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log stash and Log Beats Good experience in using or creating plugins for ELK like authentication and authorization plugins Good experience in enhancing Open-source ELK for custom capabilities Experience in provisioning automation frameworks such as Kubernetes or docker Experience working with JSON

BMC is looking for a Senior QA Engineer to join a QE team working on complex and distributed software, developing test plans, executing tests, developing automation & assuring product quality. Here is how, through this exciting role, YOU will contribute to BMC's and your own success: 1. Define and execute comprehensive test strategies for service management platforms and observability pipelines. 2. Develop, maintain, and optimize automated tests covering incident, problem, change management workflows, and observability data (metrics, logs, traces, events). 3. Collaborate with product, engineering, and SRE teams to embed quality throughout service delivery and monitoring processes. 4. Validate the accuracy, completeness, and reliability of telemetry data and alerts used in observability. 5. Drive continuous integration of quality checks into CI/CD pipelines for rapid feedback and deployment confidence. 6. Investigate production incidents using observability tools and testing outputs to support root cause analysis. 7. Mentor and guide junior engineers on quality best practices for service management and observability domains. 8. Generate detailed quality metrics and reports to inform leadership and drive continuous improvement. To ensure youre set up for success, you will bring the following skillset & experience: 1. 5+ years of experience in quality engineering or software testing with a focus on service management and observability. 2. Strong programming and scripting skills (Java, Python, JavaScript, or similar). 3. Hands-on experience with service management tools such as BMC Helix, ServiceNow, Jira Service Management. 4. Proficient in observability platforms and frameworks (Prometheus, Grafana, ELK Stack, OpenTelemetry, Jaeger). 5. Solid understanding of CI/CD processes and tools (Jenkins, GitHub Actions, Azure DevOps). 6. Experience with cloud environments (AWS, Azure, GCP) and container technologies (Docker, Kubernetes). Whilst these are nice to have, our team can help you develop in the following skills: 1. Experience in Site Reliability Engineering (SRE) practices. 2. Knowledge of security and performance testing methodologies. 3. QA certifications such as ISTQB or equivalent.

8-10 years of exp in Cloud Technology, DevSecOps, cloud security, & CI/CD automation. Expertise in Kubernetes security, IAM, API security, & automated compliance frameworks. Hands on exp in Terraform, container security, & zero-trust architecture. Required Candidate profile Manage Enterprise wise Microservices based Applications hosted on AWS Cloud Technology.Exp in CI/CD & DevOps Tools:Jenkins,GitHub Actions,Terraform,AWS Code Pipeline & Kafka.Strong exp in EKS Cluster

Job Title : DevOps Engineer (Python) Experience : 4-5 Years Location : Bangalore About the Role : We are seeking a highly motivated and skilled DevOps Engineer with strong Python programming skills to join our team. In this role, you will be responsible for automating and streamlining our software development and deployment processes, ensuring efficient and reliable software delivery. Key Responsibilities : - Develop and maintain CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or Azure DevOps. - Automate infrastructure provisioning and management using tools like Terraform, Ansible, or Puppet. - Develop and maintain Python scripts for various DevOps tasks, such as : 1. Automating deployments 2. Monitoring and alerting 3. Data analysis and reporting 4. System administration tasks - Troubleshoot and resolve infrastructure and deployment issues. - Collaborate with development teams to improve software delivery processes. - Stay abreast of the latest DevOps tools, technologies, and best practices. Required Skills : Mandatory : - Strong Python programming skills - Experience with CI/CD pipelines and tools (Jenkins, GitLab CI/CD, Azure DevOps) - Experience with infrastructure automation tools (Terraform, Ansible, Puppet) - Experience with cloud platforms (AWS, Azure, GCP). - Experience with containerization technologies (Docker, Kubernetes). - Experience with scripting languages (Bash, Shell). - Strong understanding of Linux/Unix systems. - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. Desired Skills (Optional) : - Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack). - Experience with configuration management tools (Chef, SaltStack). - Experience with security best practices and tool

We are a team of Software Engineers, Architects, Managers, and Cloud Experts with deep expertise in Technology and Delivery Management. Our mission is to empower and improve the lives of our customers by providing simple solutions to their complex business challenges. At Nomiso, we nurture an entrepreneurial spiritencouraging continuous learning, growth, and improvement. A thriving workplace is built on ideas and opportunities, and that is embedded in our DNA. We are looking for colleagues who share similar passions, are agile, and excel when faced with challenges. We offer a positive, stimulating, and enjoyable work environment, where youll find opportunities to grow, a fast-paced approach to innovation, and a space where your views are valued and encouraged. We invite you to push your boundaries and join us in achieving your career aspirations! What You Can Expect from Us : - We are dedicated to providing our team with the best opportunities for career growth. - You will have the chance to be a pioneer of ideas, a student of innovation, and a leader in thought. - Innovation and thought leadership are at the core of everything we do at all levels of the company. Lets make your career extraordinary! Position Overview : - As a Senior Engineer (Back End), you will be responsible for developing new features, enhancing existing ones, and providing ongoing support in production. - Additionally, you will build reusable libraries and technology platforms that address multiple use cases. - You will work towards achieving specific milestones and objectives within a dynamic environment. Roles and Responsibilities : - Collaborate with development team leads on assigned tasks. - Communicate effectively and work with minimal guidance from the leads. - Be a team player, eager to explore new technologies. - Navigate the challenges of a fast-paced technical environment. Must-Have Skills : - 7+ years of software development experience. - Strong expertise in "Go" programming language. - Solid understanding of various design principles. - In-depth knowledge of Linux OS (memory, instruction processing, filesystem, system daemons, etc.). - Proficient in Linux command line and shell scripting. - Familiarity with servers (nginx, apache, etc.), proxy servers, and load balancing. - Knowledge of service-based architecture and microservices. - Working knowledge of AV codecs, MpegTS, and adaptive streaming technologies like Dash and HLS. - Strong understanding of computer networking concepts. - Experience with relational databases. - Excellent analytical and debugging skills. - Knowledge of Git or other version control systems. Good-to-Have Skills : - Familiarity with Core Java and Python is preferred. - Exposure to cloud computing is a plus. - Experience with API or video streaming performance testing is an advantage. - Experience with Elasticsearch and Kibana (ELK Stack) is preferred. - Proficiency in at least one modern web front-end framework such as React JS is a bonus. - Experience with messaging systems like RabbitMQ is a plus. Qualification : - Bachelor's degree in Computer Science, Engineering, or a related field.

Location- Bengaluru,Kochi,Hyderabad,Chennai Job Purpose: We are looking to hire a Devops Module Lead for one of our customer. Requirements: The ideal candidate should: Experience: 5+ years of hands-on experience in DevOps, cloud computing, or infrastructure engineering, with a strong focus on Azure environments. Azure Cloud Expertise: Advanced knowledge of Azure services, including Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure DevOps, and Azure Resource Manager (ARM) templates. CI/CD Pipelines: Proficiency in Azure DevOps for managing CI/CD workflows, including building and optimizing release pipelines, managing Azure Repos, and using Azure Pipelines for automated builds and deployments. Infrastructure as Code (IaC): Expertise in infrastructure provisioning and management using Azure Resource Manager (ARM) templates, Terraform, and Ansible within Azure. Containerization: Strong experience in Azure Kubernetes Service (AKS) and Docker, with knowledge of scaling, networking, and security configurations within AKS. Monitoring & Logging: Proficiency with Azure Monitor, Log Analytics, Application Insights, and integrating with tools like Grafana and ELK stack for a comprehensive monitoring and alerting framework Soft Skills: Ability to provide face-to-face Good communication skills (both verbal and written) Business and customer service focused Flexible, good team player and have good problem-solving skills Should be willing to travel

Design, build, and maintain our containerization and orchestration solutions using Docker and Kubernetes. Automate deployment, monitoring, and management of applications using Ansible and Python. Collaborate with development teams to ensure seamless integration and deployment. Implement and manage CI/CD pipelines to streamline software delivery. Monitor system performance and troubleshoot issues to ensure high availability and reliability. Ensure security best practices for containerized environments. Provide support and guidance for development and operations teams. Required Skills and Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a DevOps Engineer or in a similar role. Extensive experience with Docker and Kubernetes. Strong proficiency in Python and Ansible. Solid understanding of CI/CD principles and tools. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. Excellent problem-solving and troubleshooting skills. Strong communication and teamwork skills. Preferred Qualifications: Experience with infrastructure-as-code tools like Terraform. Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Familiarity with Agile development methodologies. Experience with containerization technologies like Docker and Kubernetes.

Strong proficiency in Java and Spring Boot with 7+ years of relevant experience. Experience with Microservices architecture, REST APIs, and Spring Cloud. Familiarity with CI/CD pipelines, Docker, and Kubernetes. Knowledge of unit testing frameworks. Experience with version control systems (e.g., Git). Exposure to monitoring tools like Grafana, ELK stack.

Work Type: Work from office (sometime extended working hours) Education: A Bachelors degree inComputer Science,Information Technology, or related fields is preferred, or equivalent work experience. Position Overview: We are seeking a skilled Redis + Oracle Database Administrator (DBA) to join our team. The ideal candidate will have a strong background in managing, optimizing, and supporting Redis environments, with a focus on high availability, scalability, and performance tuning. As a Redis DBA, you will be responsible for deploying, configuring, maintaining, and monitoring Redis clusters while ensuring high availability, security, and the best possible performance. Key Responsibilities: Redis Database Management: (3-5 years) Oracle Database Management: (3+ Years) Set up, configure, and manage Redis clusters (both single-node and sharded clusters). Perform regular backups of Redis databases and ensure proper disaster recovery planning. Ensure high availability and implement Redis replication (Master- Slave, Sentinel, and Cluster setups). Configure Redis persistence mechanisms such as RDB snapshots and AOF (Append-Only File). Perform upgrades and patch management for Redis versions. Conduct regular Redis database maintenance, including key expiration management, memory management, and flushing of stale data. Minimum of 3-5 years of experience working as a Redis DBA or in a similar role managing high-performance, distributed databases. Experience with Redis clustering, replication, and failover techniques (Redis Sentinel, Redis Cluster). Expertise in Redis configuration and operations, including but not limited to Redis persistence mechanisms (RDB, AOF),memory management, and eviction policies. Familiarity with Redis monitoring tools (e.g.,Prometheus,Grafana,Redis-CLI,ELK stack). Strong understanding of Redis data types (strings, hashes, lists, sets, sorted sets, bitmaps, geospatial indexes). Experience in setting up Redis on Linux environments and configuring it for performance and reliability. Working knowledge of networking (e.g., Redis over SSL, firewalls, clustering, and multi-region replication). Configure and manage Redis Sentinel for automatic failover and monitoring. Manage Redis sharding and clustering for distributed setups to support large-scale applications. Monitoring & Performance Tuning: High Availability and Scalability: Security & Access Control: Disaster Recovery and Backup: Capacity Planning and Resource Management: Collaboration with DevOps/Engineering Teams: Documentation & Reporting: Tools and Technologies: Familiarity with Redis Sentinel for high availability and automatic failover. Experience with Redis Cluster for horizontal scaling and sharding. Familiarity with monitoring tools like Prometheus, Grafana, NewRelic, or other APM tools. Exposure to containerization (Docker) and orchestration tools like Kubernetes for deploying Redis clusters in cloud and on-prem environments. Proficient inscripting (Bash, Python, etc.) to automate Redis tasks like backups, restores, and monitoring. Collaborate with DevOps, application developers, and infrastructure teams to ensure that Redis is integrated effectively into the overall system architecture. Provide guidance on designing efficient data structures and choosing the appropriate Redis commands for application needs (e.g., strings, lists, sets, hashes, etc.). Participate in code reviews to ensure Redis best practices are followed. Preferred Skills: Experience with cloud-based Redis deployments (AWS ElastiCache, Azure Redis Cache, Google Cloud Memorystore). Experience in data security practices, including encryption, SSL, and access control management in Redis. Knowledge of other NoSQL databases (e.g., Cassandra, MongoDB, Couchbase) to understand the broader NoSQL ecosystem.

Job Summary : - Person at this position takes ownership of a module and associated quality and delivery. Person at this position provides instructions, guidance and advice to team members to ensure quality and on time delivery. Person at this position is expected to be able to instruct and review the quality of work done by technical staff. Person at this position should be able to identify key issues and challenges by themselves, prioritize the tasks and deliver results with minimal direction and supervision. Person at this position has the ability to investigate the root cause of the problem and come up alternatives/ solutions based on sound technical foundation gained through in-depth knowledge of technology, standards, tools and processes. Person has the ability to organize and draw connections among ideas and distinguish between those which are implementable. Person demonstrates a degree of flexibility in resolving problems/ issues that atleast to in-depth command of all techniques, processes, tools and standards within the relevant field of specialisation. Roles & Responsibilities : - Responsible for requirement analysis and feasibility study including system level work estimation while considering risk identification and mitigation. Responsible for design, coding, testing, bug fixing, documentation and technical support in the assigned area. Responsible for on time delivery while adhering to quality and productivity goals. Responsible for traceability of the requirements from design to delivery Code optimization and coverage. Responsible for conducting reviews, identifying risks and ownership of quality of deliverables. Responsible for identifying training needs of the team. Expected to enhance technical capabilities by attending trainings, self-study and periodic technical assessments. Expected to participate in technical initiatives related to project and organization and deliver training as per plan and quality. Expected to be a technical mentor for junior members. Person may be given additional responsibility of managing people based on discretion of Project Manager. Education and Experience Required : - Engineering graduate, MCA, etc Experience: 5-8 years Competencies Description 1. Digital Automation Engineer is experienced in designing and implementing engineering processes and automation across one or more phases of the DevOps based SDLC including Configuration management, Build & Release, Test Automation, Deployment, Infrastructure Automation and Continous Operations 2. Config Management specialist should be able to design, configure and implement version control, branching and configuration strategies using source code and version control systems like GIT, GitLab, BitBucket, SVN, CVS, Clearcase. 3) Build Automation specialist should be experienced in implementing Continuous integration and Build Automation tools like Jenkins, Bamboo, ANT, Maven, Gradle. 4) Test Automation Specialist is experienced in design & autnoring of Test Automation scripts, Test planning and Test case execution across Mobile, Web, Cross platform, Web Services, Micro Services, Platform and Infrastrcuture. He should be proficient in different types of Test Automation including Black box, White Box, Functional, Performance, UI, Security and Regression testing. He should also be experienced in usage of BDD frameworks and Device Test cloud like Sauce Labs, Xamarin Test Cloud. 5) Deployment Specialist should be able to plan and manage the release management stratgies, manage package artifactories, manage AMIs, deploy application and service packages across cloud and containers based infrastructure 6) Infrastructure Automation Specialist should be experienced in design and implemention of a programmable infrastructrue on virtualized and cloud based infrastructure and should be able to implement IaaS, Configuration management, Container management, Environment management across multiple cloud and virtualization provider platforms. 7) Continuous Operations specialist should be experienced in design, implement and operation of a elastic infrastructure, manage and monitor application and services, design failover scenarios, manage scalability and SLAs, design monitoring dashboards and operate production workloads and infrastructure across virtualized infrastructure and cloud." Platforms - Linux, Windows, Android, IoS, VMWare, OpenStack, HyperV Technology Standard- AWS, Azure, RESTful APIs, Behavioral Driven Development, SOAP, Test Driven Development, Microservices patterns, Service Mesh, Cloud formation templates Tools - 1. Config Management Tools - GIT, GitLab, Bit ucket, SVN, Clearcase, Perforce Build Tools 2. Buidl tools including GNUMake, NMake, ANT, Ivy, Maven, SBT, Gradle 3. CI Tools - Jenkins, Bamboo, CircleCI, AWS DevOps tools, Azure DevOps 4. Requirement management : Bugzilla, Jira 5. Code Review - Gerrit, GitLab, ReviewBoard 6. Containers - Docker, Docker Swarm, Kubernetes, Amazon ECS, Azure Container Service, Azue Kubernete service 7. Configuration Management - Ansible, Chef, Puppet 8. Cloud native Devops services for AWS and Azure 9. Infrastructure automation based on CloudFormation, ARM templates 10. Appium, Visual Studio App Center (Xamarin Test cloud), SauceLabs 11. Selenium, Black Duck, SOAP UI, Protractor, Karma, JMeter, LoadRunner, Junit, NUnit, Nagios 12. Dashboarding tools like Promethues, ELK stack, Grafana" Languages - 1. Scripting Languages - Perl, Python, Groovy, Shell script, PowerShell, Yaml, Ansible 2. Visual Studio App Center/Xamarin -C#, Cucumber/Calabash with scripting language, 3. Java, Python for Appium 4. Java, Python for Sauce Labs 5. XML Specialization - CONFIG MANAGEMENT, TEST AUTOMATION, BUILD and RELEASE, INFRA AUTOMATION, CONNTINUOUS OPERATIONS, DEPLOYMENT, RPA

Role Purpose The purpose of this role is to work with Application teams and developers to facilitate better coordination amongst operations, development and testing functions by automating and streamlining the integration and deployment processes Do Align and focus on continuous integration (CI) and continuous deployment (CD) of technology in applications Plan and Execute the DevOps pipeline that supports the application life cycle across the DevOps toolchain from planning, coding and building, testing, staging, release, configuration and monitoring Manage the IT infrastructure as per the requirement of the supported software code On-board an application on the DevOps tool and configure it as per the clients need Create user access workflows and provide user access as per the defined process Build and engineer the DevOps tool as per the customization suggested by the client Collaborate with development staff to tackle the coding and scripting needed to connect elements of the code that are required to run the software release with operating systems and production infrastructure Leverage and use tools to automate testing & deployment in a Dev-Ops environment Provide customer support/ service on the DevOps tools Timely support internal & external customers on multiple platforms Resolution of the tickets raised on these tools to be addressed & resolved within a specified TAT Ensure adequate resolution with customer satisfaction Follow escalation matrix/ process as soon as a resolution gets complicated or isnt resolved Troubleshoot and perform root cause analysis of critical/ repeatable issues Deliver No Performance Parameter Measure 1. Continuous Integration,Deployment & Monitoring 100% error free on boarding & implementation 2. CSAT Timely customer resolution as per TAT Zero escalation Mandatory Skills: DevOps.Experience3-5 Years.