906 Grafana Jobs - Page 2

Project description We are looking for a seasoned Performance Test Engineer to join our dynamic team. Your role will involve working closely with a group of talented software developers to create new APIs and ensure the smooth functioning of existing ones within the Azure environment. Responsibilities Understand the non-functional requirements (NFRs) from NFR documents, meeting with business and platform owners. Understand business and the infrastructure involved in the project. Understand the critical business scenarios from developers and the business. Prepare the Performance Test Strategy and Test Plan. Communicate with the business/development team manager regularly through daily/weekly reports. Develop the test scripts and workload modelling. Execute sanity tests, load test, soak test, stress test (as required by project). Organise the meeting with all the relevant teams (developers/infra etc.) to monitor core applications during the test execution. Execute the tests and analyse the test results. Prepare the test summary report. Skills Must have 6+ years of experience in performance engineering. Expert in Microfocus LoadRunner and Apache JMeter along with programming/ scripting experience in C/C++, Java, Perl, Python, SQL. Proven performance testing experience across multiple platform architectures and technologies such as micro-services, REST APIs is advantageous as is an exposure to project experience moving workloads to cloud environments including (AWS or Azure) Exposure to open source data visualisation tools. Experience in working with APM tools like AppDynamics. Nice to have Core Banking, Jira, Agile, Grafana Banking domain experience Other Languages EnglishC1 Advanced Seniority Senior

Install, configure, and maintain Zabbix server, proxy, and agents. Develop custom discovery templates and monitoring scripts for Oracle, Linux, Wintel, etc. Troubleshoot Zabbix server HA environments and manage Service Guard clusters. Administer Zabbix proxypool allocation, DB partitioning, and queue management. Configure Zabbix agents (active/passive), trappers, and housekeeping. Integrate and manage Grafana dashboards, alerts, and data sources. Utilize Zabbix API for automation and custom monitoring. Handle server migrations and vendor case escalations. Primary Skills Zabbix Server (v4 and above) Custom discovery template scripting Zabbix API scripting Zabbix HA environment troubleshooting Grafana dashboard and alert configuration Secondary Skills Zabbix Proxy Server administration Proxy pool and DB partition management Zabbix agent configuration (active/passive) Integration with Oracle, Linux, Wintel endpoints Service Guard cluster management Vendor coordination and case handling

Proficiency in problem solving and troubleshooting technical issues. Willingness to take ownership and strive for the best solutions. Experience in using performance analysis tools, such as Android Profiler, Traceview, perfetto, and Systrace etc. Strong understanding of Android architecture, memory management, and threading. Strong understanding of Android HALs, Car Framework, Android graphics pipeline, DRM, Codecs. Good knowledge in Hardware abstraction layers in Android and/or Linux. Good understanding of the git, CI/CD workflow Experience in agile based projects. Experience with Linux as a development platform and target Extensive experience with Jenkins and Gitlab CI systems Hands-on experience with GitLab, Jenkins, Artifactory, Grafana, Prometheus and/or Elastic Search. Experience with different testing frameworks and their implementation in CI system Programming using C/C++, Java/Kotlin, Linux. Yocto and its use in CI Environments Familiarity with ASPICE Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Is fully competent in it's own area and has a deep understanding of related programming concepts software design and software development principles. Works autonomously with minimal supervision. Able to act as a key contributor in a complex environment, lead the activities of a team for software design and software development. Acts proactively to understand internal/external client needs and offers advice even when not asked. Able to assess and adapt to project issues, formulate innovative solutions, work under pressure and drive team to succeed against its technical and commercial goals. Aware of profitability needs and may manage costs for specific project/work area. Explains difficult concepts to a variety of audiences to ensure meaning is understood. Motivates other team members and creates informal networks with key contacts outside own area. Skills (competencies) Verbal Communication

Title : Technical Support Professional, Product Support with Cloud experience (AWS/Azure/GCP/OCI, Support and maintain customers who have implemented the Apptio SaaS solution, resolving customer issues in a timely fashion. Operational management of clients (e.g. helping loading new data, maintaining and validating dashboard/report outputs, etc) Build and maintain excellent relationships with clients and achieve the highest level of customer satisfaction. Work as part of our extended support team in a startup atmosphere, doing whatever it takes to exceed customer expectations. Use your business and technical analysis skills and knowledge of IT environments to solve complex issues and promote best practices. Collaborate with other departments in the company to achieve customer satisfaction. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 5+ years of experience. Knowledge and application of relational database concepts. Experience with Cloud computing (AWS/Azure/GCP) Specific knowledge and application of IT services and financial management including budgeting cost allocations, capital & operating expense handling, program portfolio management, and application / infrastructure support. Strong analytical and problem solving skills. Strong skills in data analysis/manipulation. Ability to quickly comprehend complex spreadsheets/data in order to streamline the underlying processes into the Apptio solution; versed in formulaic logic (e.g. Excel). Self-starter – able to come up to speed on complex, difficult concepts with minimal assistance. Ability to quickly context-switch between multiple complex work streams. Instinctive ability to subdivide problems into basic components in order to efficiently pinpoint root cause of issues. Client-focused attitude — a customer advocate. Team player with solid communication and presentation skills. Skilled at working with large data sets in Excel, quickly detecting and resolving data-related issues Preferred technical and professional experience Basic programming skills and web development understanding, e.g. JAVAScript, HTML, CSS, SQL, Python Knowledge of ticketing tools like Salesforce, JIRA Knowledge of tools like Splunk, Grafana.

In this Site Reliability Engineer role, you will work closely with entire IBM Cloud organization to maintain and operationally improve the IBM cloud infrastructure. You will focus on the following key responsibilities: Ability to respond promptly to production issues and alerts 24x7 Execute changes in the production environment through automation Implement and automate infrastructure solutions that support IBM Cloud products and services to reduce toil. Partner with other SRE teams and program managers to deliver mission-critical services to IBM Cloud Build new tools to improve automated resolution of production issues Monitor, respond promptly to production alerts, Execute changes in Production through automation Support the compliance and security integrity of the environment Continually improve systems and processes regarding automation and monitoring. Required education Bachelor's Degree Required technical and professional expertise Excellent written and verbal communication skills. Minimum 3+ years experience in handling large production systems environment Must be extremely comfortable using and navigating within a Linux environment Ability to do low level debugging and problem analysis by examining logs and running Unix commands Must be efficient in writing and debugging scripts 3-5+ years of experience in Virtualization Technologies and Automation / Configuration Managements Automation and configuration management tools/solutionsAnsible, Python, bash, Terraform, GoLang etc. (at least one) Virtualization technologiesCitrix Xen Hypervisor (Preferred), KVM(also preferred), libvirt, VMware vSphere, etc. (at least one) Monitoring technologiesZabbix, Sysdig, Grafana, Nagios, Splunk, etc. (at least one) Working knowledge with Container technologiesKubernetes, Docker, etc. Flexibility to work on shifts to handle production systems Preferred technical and professional experience Good experience inPublic cloud platforms,Kubernetes clusters and Strong Linux skills for managing services across microservices platform, good SRE knowledge in Cloud Compute, Storage and Network services.

Job Title - + + Management Level: Location:Kochi, Coimbatore, Trivandrum Must have skills:installation, configuration and management of Linux /Windows systems Good to have skills:JIRA/Confluence Job Summary As a L2 Cloud Operations Engineer, you will be operating an e-commerce solution built over on-prem and cloud infrastructure. You will be involved in maintaining and improving the clients business platforms and also will be responsible for the site reliability and platform stability. You will be expected to respond to incidents, support on problems, execute changes and be part of a project to improve or reengineer the platform. Roles and Responsibilities Continuous monitoring of the platforms performance and uptime Fast identification and resolution of incidents Resolution of service requests Managing the platform configuration to ensure it is optimized and up to date Improved efficiency by automating routine tasks Professional and Technical Skills You must have a strong technical aptitude and an organized, process driven work ethic. 3.5-5 years of relevant experience with installation, configuration and management of Linux /Windows systems. Strong working experience in managing and maintaining public clouds like AWS, Azure or GCP. Strong experience in setting up and configuring monitoring tools like Prometheus, Grafana, Zabbix etc Strong Experience with installation/configuration of Java application servers such as Jboss/WebLogic/Tomcat and also analyzing application logs, GC logs for troubleshooting performance and functional issues. Hands on experience in cloud provisioning tools like Terraform/CloudFormation will be an added advantage Hands on experience with Docker/Kubernetes will be an added advantage Experience in ELK/Kafka/Openshift/Python script will be an added advantage Good knowledge of SQL and NoSQL databases like MySQL/Oracle/PostgreSQL/DynamoDB/MongoDB/Cassandra/Redis You will have strong written and verbal communications skills and a track record for providing high customer satisfaction. Develop automation scripts as needed to enhance operational efficiencies Has prior experience in supporting Jira/Confluence or any other service management tool Prior experience working in Agile environment will be an advantage. Additional Information (do not remove the hyperlink) Qualification Experience:3.5 -5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : DevOps, Microsoft SQL Server, Docker (Software), Kubernetes Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the development process and ensure successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Application deployment and level 1&2 support during SIT, UAT and production implementation for the core banking system of the bank (for Asia, Europe, Middle East and Africa).- Follow UAT issues and enquiries from business users until their appropriate closure (incident communication, root cause analysis and permanent resolution).- Engagement with development teams on a regular basis. Appropriate escalation of critical queries.- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Coordinate with stakeholders to gather requirements- Ensure timely delivery of projects Professional & Technical Skills: - Must Have Skills: Proficiency in Java, SQL, UNIX, Shell scripting, Control M.- Hands on experience on Jetty, DevOps, Docker (Software), Microsoft SQL Server, Kubernetes- Hands on experience on RDBMS Oracle 12/19, PL/SQL.- Hands on experience on Docker EE, Kubernetes, Argo CD.- Exposure in DevOps tools like Jenkins, Master Deploy etc.- Exposure in Elastic search (KIBANA), Grafana- Exposure in ETL tools is an advantage.- Exposure to SRE- Good knowledge of all phases of the system development and implementation life cycle (SDLC).- Strong understanding of CI/CD pipelines- Experience with cloud platforms such as AWS or Azure- Knowledge of infrastructure as code tools like Terraform Additional Information:- The candidate should have a minimum of 8 years of experience in DevOps- This position is based at our Mumbai office- A 15 years full-time education is required Qualification 15 years full time education

Job Title - Cloud Platform Engineer Associate Manager ACS Song Management Level:Level 8 Associate Manager Location:Kochi, Coimbatore, Trivandrum Must have skills:AWS, Terraform Good to have skills:Hybrid Cloud Experience:8-12 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture) Job Summary Within our Cloud Platforms & Managed Services Solution Line, we apply an agile approach to provide true on-demand cloud platforms. We implement and operate secure cloud and hybrid global infrastructures using automation techniques for our clients business critical application landscape. As a Cloud Platform Engineer you are responsible for implementing on cloud and hybrid global infrastructures using infrastructure-as-code. Roles and Responsibilities Implement Cloud and Hybrid Infrastructures using Infrastructure-as-Code. Automate Provisioning and Maintenance for streamlined operations. Design and Estimate Infrastructure with an emphasis on observability and security. Establish CI/CD Pipelines for seamless application deployment. Ensure Data Integrity and Security through robust mechanisms. Implement Backup and Recovery Procedures for data protection. Build Self-Service Systems for enhanced developer autonomy. Collaborate with Development and Operations Teams for platform optimization. Professional and Technical Skills Customer-Focused Communicator adept at engaging cross-functional teams. Cloud Infrastructure Expert in AWS, Azure, or GCP. Proficient in Infrastructure as Code with tools like Terraform. Experienced in Container Orchestration (Kubernetes, Openshift, Docker Swarm). Skilled in Observability Tools like Prometheus, Grafana, etc., as well as Competent in Log Aggregation tools (Loki, ELK, Graylog) and Familiar with Tracing Systems such as Tempo. CI/CD and GitOps Savvy with potential knowledge of Argo-CD or Flux. Automation Proficiency in Bash and high-level languages (Python, Golang). Linux, Networking, and Database Knowledge for robust infrastructure management. Hybrid Cloud Experience a plus Additional Information About Our Company | Accenture (do not remove the hyperlink) Qualification Experience:3-5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : DevOps, Microsoft SQL Server, Docker (Software), Kubernetes Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will oversee the development process and ensure successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Application deployment and level 1&2 support during SIT, UAT and production implementation for the core banking system of the bank (for Asia, Europe, Middle East and Africa).- Follow UAT issues and enquiries from business users until their appropriate closure (incident communication, root cause analysis and permanent resolution).- Engagement with development teams on a regular basis. Appropriate escalation of critical queries.- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process- Coordinate with stakeholders to gather requirements- Ensure timely delivery of projects - Must Have Skills: Proficiency in Java, SQL, UNIX, Shell scripting, Control M.- Hands on experience on Jetty, DevOps, Docker (Software), Microsoft SQL Server, Kubernetes- Hands on experience on RDBMS Oracle 12/19, PL/SQL.- Hands on experience on Docker EE, Kubernetes, Argo CD.- Exposure in DevOps tools like Jenkins, Master Deploy etc.- Exposure in Elastic search (KIBANA), Grafana- Exposure in ETL tools is an advantage.- Exposure to SRE- Good knowledge of all phases of the system development and implementation life cycle (SDLC).- Strong understanding of CI/CD pipelines- Experience with cloud platforms such as AWS or Azure- Knowledge of infrastructure as code tools like Terraform Additional Information:- The candidate should have a minimum of 8 years of experience in DevOps- This position is based at our Mumbai office- A 15 years full-time education is required Qualification 15 years full time education

Key Responsibilities: Design, build, and maintain CI/CD pipelines for ML model training, validation, and deployment Automate and optimize ML workflows, including data ingestion, feature engineering, model training, and monitoring Deploy, monitor, and manage LLMs and other ML models in production (on-premises and/or cloud) Implement model versioning, reproducibility, and governance best practices Collaborate with data scientists, ML engineers, and software engineers to streamline end-to-end ML lifecycle Ensure security, compliance, and scalability of ML/LLM infrastructure Troubleshoot and resolve issues related to ML model deployment and serving Evaluate and integrate new MLOps/LLMOps tools and technologies Mentor junior engineers and contribute to best practices documentation Required Skills & Qualifications: 8+ years of experience in DevOps, with at least 3 years in MLOps/LLMOps Strong experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker) Proficient in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Hands-on experience deploying and managing different types of AI models (e.g., OpenAI, HuggingFace, custom models) to be used for developing solutions. Experience with model serving tools such as TGI, vLLM, BentoML, etc. Solid scripting and programming skills (Python, Bash, etc.) Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK stack) Strong understanding of security and compliance in ML environments Preferred Skills: Knowledge of model explainability, drift detection, and model monitoring Familiarity with data engineering tools (Spark, Kafka, etc. Knowledge of data privacy, security, and compliance in AI systems. Strong communication skills to effectively collaborate with various stakeholders Critical thinking and problem-solving skills are essential Proven ability to lead and manage projects with cross-functional teams

Key Responsibilities: Design, build, and maintain CI/CD pipelines for ML model training, validation, and deployment Automate and optimize ML workflows, including data ingestion, feature engineering, model training, and monitoring Deploy, monitor, and manage LLMs and other ML models in production (on-premises and/or cloud) Implement model versioning, reproducibility, and governance best practices Collaborate with data scientists, ML engineers, and software engineers to streamline end-to-end ML lifecycle Ensure security, compliance, and scalability of ML/LLM infrastructure Troubleshoot and resolve issues related to ML model deployment and serving Evaluate and integrate new MLOps/LLMOps tools and technologies Mentor junior engineers and contribute to best practices documentation Required Skills & Qualifications: 8+ years of experience in DevOps, with at least 3 years in MLOps/LLMOps Strong experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes, Docker) Proficient in CI/CD tools (Jenkins, GitHub Actions, GitLab CI, etc.) Hands-on experience deploying and managing different types of AI models (e.g., OpenAI, HuggingFace, custom models) to be used for developing solutions. Experience with model serving tools such as TGI, vLLM, BentoML, etc. Solid scripting and programming skills (Python, Bash, etc.) Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK stack) Strong understanding of security and compliance in ML environments Preferred Skills: Knowledge of model explainability, drift detection, and model monitoring Familiarity with data engineering tools (Spark, Kafka, etc. Knowledge of data privacy, security, and compliance in AI systems. Strong communication skills to effectively collaborate with various stakeholders Critical thinking and problem-solving skills are essential Proven ability to lead and manage projects with cross-functional teams

So, what’s the role all about? As a Sr. Cloud Services Automation Engineer, you will be responsible for designing, developing, and maintaining robust end-to-end automation solutions that support our customer onboarding processes from an on-prem software solution to Azure SAAS platform and streamline cloud operations. You will work closely with Professional Services, Cloud Operations, and Engineering teams to implement tools and frameworks that ensure seamless deployment, monitoring, and self-healing of applications running in Azure. How will you make an impact? Design and develop automated workflows that orchestrate complex processes across multiple systems, databases, endpoints, and storage solutions in on-prem and public cloud. Design, develop, and maintain internal tools/utilities using C#, PowerShell, Python, Bash to automate and optimize cloud onboarding workflows. Create integrations with REST APIs and other services to ingest and process external/internal data. Query and analyze data from various sources such as, SQL databases, Elastic Search indices and Log files (structured and unstructured) Develop utilities to visualize, summarize, or otherwise make data actionable for Professional Services and QA engineers. Work closely with test, ingestion, and configuration teams to understand bottlenecks and build self-healing mechanisms for high availability and performance. Build automated data pipelines with data consistency and reconciliation checks using tools like PowerBI/Grafana for collecting metrics from multiple endpoints and generating centralized and actionable dashboards. Automate resource provisioning across Azure services including AKS, Web Apps, and storage solutions Experience in building Infrastructure-as-code (IaC) solutions using tools like Terraform, Bicep, or ARM templates Develop end-to-end workflow automation in customer onboarding journey that spans from Day 1 to Day 2 with minimal manual intervention Have you got what it takes? Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience). Proficiency in scripting and programming languages (e.g., C#, .NET, PowerShell, Python, Bash). Experience working with and integrating REST APIs Experience with IaC and configuration management tools (e.g., Terraform, Ansible) Familiarity with monitoring and logging solutions (e.g., Azure Monitor, Log Analytics, Prometheus, Grafana). Familiarity with modern version control systems (e.g., GitHub). Excellent problem-solving skills and attention to detail. Ability to work with development and operations teams, to achieve desired results, on common projects Strategic thinker and capable of learning new technologies quickly Good communication with peers, subordinates and managers You will have an advantage if you also have: Experience with AKS infrastructure administration. Experience orchestrating automation with Azure Automation tools like Logic Apps. Experience working in a secure, compliance driven environment (e.g. CJIS/PCI/SOX/ISO) Certifications in vendor or industry specific technologies. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Enjoy NICE-FLEX! At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 7454 Reporting into: Director of Cloud Services Role Type: Individual Contributor

We are looking for a DevOps with Azure engineer who is passionate and ready to develop the state of art technology solutions for their digital platforms. This job will have a variety of challenges on a daily basis, where you will need to understand the business needs and based on your creative thinking-ways, you will develop and design solutions in Azure with Kafka and DevOps capabilities. You will implement them according to the DevOps practices. This job is for someone who is excited and happy to work with cutting edge technologies and really motivated to work with large amounts of complex cloud-based data. Skills Must have Significant experience in designing and developing Azure (with Kubernetes) solutions Strong knowledge and experience of working with Kakfa Comfortable working with large amounts of data Knowledge of technologies such as Docker and Kubernetes Devops skills are also essential Good Postgres DB knowledge Microsoft Azure expertise and certification is a plus Nice to have A positive attitude & willingness to learn & desire to improve the environment around you Knowledge of virtualization and containerization Track record as engineer working in a globally distributed team On-the-job examples of working in a fast-paced Agile environment Other Languages English: C2 Proficient Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies DevOps Engineer DevOps India Bengaluru Senior DevOps Engineer DevOps Poland Remote Poland Senior DevOps Engineer DevOps Romania Remote Romania Pune, India Req. VR-114554 DevOps BCM Industry 23/05/2025 Req. VR-114554 Apply for DevOps Engineer in Pune *

Okta is seeking an experienced Software Test Engineer for our Identity Management Quality Engineering team. As part of product quality engineering, they need to ensure product releases are done with highest quality and reliability. Automation at every level is key for faster, robust and secure releases. The ideal candidate has solid experience in Java automation development, worked on scaling environments and has shown a passion to learn. Job Duties and Responsibilities: Automate API tests, End-to-End tests, reliability/scale tests Review requirements and design specs to develop relative test plans and test cases Work with engineering management to scope and plan engineering efforts Clearly communicate and document QE plans for scrum teams to review and comment Automate all critical features to maintain zero-debt cadence Release features with solid quality to customers Respond to Production issues/alerts and customer issues during on-call rotation Help with mentoring new hires and interns Minimum REQUIRED Knowledge, Skills, and Abilities 6 months+ years of quality engineering with knowledge and hands-on test automation experience 6 months+ years experience with Selenium and/or API testing using Java 6 months+ years experience with Performance testing using Jmeter 6 months+ years of experience with (Splunk, Datadog, Grafana), SQL, Unix Experience with development of high-quality automation and software tests Ability to test software with minimum supervision and guidance Ability to quickly learn new technologies and provide input Education and Training B.S. Computer Science or related field #LI-ASITRAY What you can look forward to as a Full-Time Okta employee! Amazing Benefits Making Social Impact Developing Talent and Fostering Connection + Community at Okta . U.S. Equal Opportunity Employment Information Read more Completion of the form is entirely voluntary . Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. A "disabled veteran" is one of the followinga veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. Pay Transparency Okta complies with all applicable federal, state, and local pay transparency rules. For additional information about the federal requirements, click here . Voluntary Self-Identification of Disability Form CC-305 Page 1 of 1 OMB Control Number 1250-0005 Expires 04/30/2026 Why are you being asked to complete this form . How do you know if you have a disability A disability is a condition that substantially limits one or more of your major life activities. If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: Alcohol or other substance use disorder (not currently using drugs illegally) Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS Blind or low vision Cancer (past or present) Cardiovascular or heart disease Celiac disease Cerebral palsy Deaf or serious difficulty hearing Diabetes Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders Epilepsy or other seizure disorder Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome Intellectual or developmental disability Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD Missing limbs or partially missing limbs Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports Nervous system condition, for example, migraine headaches, Parkinson s disease, multiple sclerosis (MS) Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities Partial or complete paralysis (any cause) Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema Short stature (dwarfism) Traumatic brain injury Okta The foundation for secure connections between people and technology Follow Okta Apply

Overview We are looking for a Full-stack Developer and Automation Engineer with knowledge in Cloud, DevOps Tools, Automation, excellent analytical, problem solving and communication skills. You'll need to have Bachelor’s degree or two or more years of work experience Experience working with Front-end and Back-end Technologies for building, enhancing and managing applications Experience working with Backend technologies like Python, DJango, Java, ReactJS, NodeJS, Springboot Experience working with Client-side scripting technologies like JavaScript, JQuery, etc. Experience in advanced SQL/procedures on MySQL/MongoDB/MariaDB/Oracle Experience using AWS Cloud Infrastructure services such as EC2, ALB, RDS, etc. Experience working with serverless technologies like AWS Lambda, Google/Azure Functions Knowledge of SDLC with Devops tools and Agile Development Even Better if you have Experience in Monitoring/Alerting tools and platforms such as Prometheus, Grafana, Catchpoint, New Relic, etc Experience agile practices and tools used in the development (Jira, Confluence, Jenkins, etc.) Experience in code review, quality, performance tuning with problem solving and debugging skills. Experience with Unit testing framework like JUnit, Mokito. Good communication, interpersonal skills and communication skills to clearly articulate and influence stakeholders. Very good problem solving skills. Responsibilities We are looking for a Full-stack Developer and Automation Engineer with knowledge in Cloud, DevOps Tools, Automation, excellent analytical, problem solving and communication skills. You'll need to have Bachelor’s degree or two or more years of work experience Experience working with Front-end and Back-end Technologies for building, enhancing and managing applications Experience working with Backend technologies like Python, DJango, Java, ReactJS, NodeJS, Springboot Experience working with Client-side scripting technologies like JavaScript, JQuery, etc. Experience in advanced SQL/procedures on MySQL/MongoDB/MariaDB/Oracle Experience using AWS Cloud Infrastructure services such as EC2, ALB, RDS, etc. Experience working with serverless technologies like AWS Lambda, Google/Azure Functions Knowledge of SDLC with Devops tools and Agile Development Even Better if you have Experience in Monitoring/Alerting tools and platforms such as Prometheus, Grafana, Catchpoint, New Relic, etc Experience agile practices and tools used in the development (Jira, Confluence, Jenkins, etc.) Experience in code review, quality, performance tuning with problem solving and debugging skills. Experience with Unit testing framework like JUnit, Mokito. Good communication, interpersonal skills and communication skills to clearly articulate and influence stakeholders. Very good problem solving skills. We are looking for a Full-stack Developer and Automation Engineer with knowledge in Cloud, DevOps Tools, Automation, excellent analytical, problem solving and communication skills. You'll need to have Bachelor’s degree or two or more years of work experience Experience working with Front-end and Back-end Technologies for building, enhancing and managing applications Experience working with Backend technologies like Python, DJango, Java, ReactJS, NodeJS, Springboot Experience working with Client-side scripting technologies like JavaScript, JQuery, etc. Experience in advanced SQL/procedures on MySQL/MongoDB/MariaDB/Oracle Experience using AWS Cloud Infrastructure services such as EC2, ALB, RDS, etc. Experience working with serverless technologies like AWS Lambda, Google/Azure Functions Knowledge of SDLC with Devops tools and Agile Development Even Better if you have Experience in Monitoring/Alerting tools and platforms such as Prometheus, Grafana, Catchpoint, New Relic, etc Experience agile practices and tools used in the development (Jira, Confluence, Jenkins, etc.) Experience in code review, quality, performance tuning with problem solving and debugging skills. Experience with Unit testing framework like JUnit, Mokito. Good communication, interpersonal skills and communication skills to clearly articulate and influence stakeholders. Very good problem solving skills.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. In Autonomous Drive organization we target to deliver an open, scalable, and flexible architecture solution running on Qualcomm® Snapdragon Ride„¢ System on a Chip (SoC) platform. As a Qualcomm Software Engineer for Release Automation, you will: Enable the creation of the Release packages by developing and operating scripts automating all the release steps, from static code analysis reports, testing and traceability reports to generate relevant process artifacts like external Risk Lists, design documents, etc. Use the available toolchain to create and distribute Release packages for every release from your project. Create and maintain visualization dashboards (Grafana, Kibana, or other visualization tools). Work proactively with process engineering to analyze existing processes and identify potential for automation. Contribute to defining a common release process. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Preferred Qualifications and Technical Experience - What you will bring: Bachelors degree in computer science or equivalent. Minimum of 3+ years of relevant work experience. Automation and programming skills in Python Development experience in interfacing REST APIs. Working knowledge of Git, Github and Jira. Familiar with the concept of SBOMs (Software Bill of Materials). Team player with strong problem-solving skills and ability to work independently with little direction. Experience in Agile development methodology such as Scrum or Kanban. Good communication skills for all level of stakeholders, including technical presentations in English. Good to have: Experience with Elasticsearch and Grafana is a plus. Experience with Bazel is a plus. Working knowledge in Software Configuration Management is a plus. Excited about this role, but not sure if you meet 100% of the criteriaWe would still like to hear from you and would welcome your application.

What you will do You will play a key role as part of Operations Generative AI (GenAI) Product team to deliver cutting edge innovative GEN AI solutions across various Process Development functions (Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations functions. The role involves developing, implementing and sustaining GEN AI solutions to help find relevant, actionable information quickly and accurately. Role Description: The Specialist Software Engineer is responsible for designing, developing, and maintaining GEN AI solutions software applications and solutions that meet business needs and ensure high availability and performance of critical systems and applications in Process development under Operation. This role involves working closely with Data Scientists, business SMEs, and other engineers to create high-quality, scalable GEN AI software solutions to help find relevant, actionable information quickly and accurately, monitoring system health, and responding to incidents to minimize downtime. Roles & Responsibilities: Take ownership of complex software projects from conception to deployment, Manage software delivery scope, risk, and timeline. Rapidly prototype concepts into working code. Provide technical guidance and mentorship to junior developers. Contribute to front-end and back-end development using cloud technology. Develop innovative solutions using generative AI technologies. Integrate with other systems and platforms to ensure seamless data flow and functionality. Conduct code reviews to ensure code quality and adherence to best practices. Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations. Analyze and understand the functional and technical requirements of applications, solutions, and systems and translate them into software architecture and design specifications. Work closely with product team, cross-functional teams, enterprise technology teams and QA, to deliver high-quality and compliant software on time. Ensure high quality software deliverables free of bugs and performance issues through proper design and comprehensive testing strategies. Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently. Architect and lead the development of scalable, intelligent search systems leveraging NLP, embeddings, LLMs, and vector search Own the end-to-end lifecycle of search solutions, from ingestion and indexing to ranking, relevancy tuning, and UI integration Integrate AI models that improve search precision, query understanding, and result summarization (e.g., generative answers via LLMs). Develop solutions for handling structured/unstructured data in AI pipelines. Partner with platform teams to deploy search solutions on scalable infrastructure (e.g., Kubernetes, Databricks). Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. Basic Qualifications: Masters degree with 4 - 6 years of experience in Computer Science, IT or related field OR Bachelors degree with 6 - 8 years of experience in Computer Science, IT or related field OR Diploma with 10 - 12 years of experience in Computer Science, IT or related field Experience in Python, Java, AI/ML based Python libraries(PyTorch), Experienced with Web frameworks like Flask, Django, Fast API Experience with design patterns, data structures, data modelling, data algorithms Familiarity with MLOps, CI/CD for ML, and monitoring of AI models in production. Experienced with AWS /Azure Platform, building and deploying the code Experience in PostgreSQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Buckets Experience with popular large language models Experience with Retrieval-augmented generation (RAG) framework, AI Agents, Vector stores, AI/ML platforms, embedding models ex Open AI, Langchain, Redis, pgvector Experience with prompt engineering, model fine tuning Experience with generative AI or retrieval-augmented generation (RAG) frameworks Experience in Agile software development methodologies Experience in End-to-End testing as part of Test-Driven Development Preferred Qualifications: Strong understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk). Experience with data processing tools like Hadoop, Spark, or similar. Experience with Langchain or llamaIndex framework for language models; Experience with prompt engineering, model fine-tuning. Experience working on Full stack Applications Professional Certifications: AWS, Data Science Certifications(preferred) Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, virtual teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills.

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.

About the Role: Grade Level (for internal use): 10 The Team The T echOps team is responsible for providing high quality Technical Support across a wide suite of products within PVR business segment. The TechOps team works closely with a highly competent Client Services team and the core project teams to resolve client issues and improve the platform. Our work helps ensure that all products are provid ed a high - quality service and maintaining client satisfaction . The team is responsible for owning and maintaining our cloud hosted apps. The Impact The role is an extremely critical role to help affect positive client experience by virtue of maintaining high availability of business-critical services/ applications. Whats in it for you The role provides for successful candidate to have Opportunity to interact and engage with senior technology and operations users Work on latest in technology like AWS, Terraform, Splunk, Grafana etc . Work in an environment which allows for complete ownership and scalability Exposure to learn about industry leading OTC Derivatives and Pricing products Responsibilities We are looking for a seasoned TechOps /app Support Engineer who has experience The person would require delivering all aspects of production support for various applications along with some of 3rd party vendor products including incident resolution or proactive mitigation, change & problem management; would ensure compliance to all agreed SLAs and requirements managing and maintaining cloud infrastructure performing a variety of tasks including coordinating all resources and stakeholders, planning and setting milestones, assigning responsibilities and monitoring, summarizing and communicating progress and status mentoring and developing junior members of the team ability to act as SME and ability to independently handle client issues and incident escalations What Were Looking For someone with 7 + (Grade 10) years of Application Support/TechOps experience with team management experience of over 3 years having below skills Knowledge of cloud technologies like AWS, Containerization , CI/CD, GitHub/Gitlab, Cloud networking - Must Oracle, PL/SQL Query, Linux/Unix Shell Scripting (or Python) , Java Must Keen problem solver with analytical nature and excellent problem - solving skillset Open minded, flexible and willing to adapt to changing situations Be able to work flexible hours including some weekends and possibly public holidays to meet work demands and project deadlines Excellent communication skills, both written and verbal, in the English language with ability to represent complex technical issue s/concepts to non-tech stakeholders

Title : AWS, SQL, Snowflake, ControlM, ServiceNow - Operational Engineer (Weekend on call) Req ID: 325686 We are currently seeking a AWS, SQL, Snowflake, ControlM, ServiceNow - Operational Engineer (Weekend on call) to join our team in Bangalore, Karntaka (IN-KA), India (IN). Minimum Experience on Key Skills - 5 to 10 years Skills: AWS, SQL, Snowflake, ControlM, ServiceNow - Operational Engineer (Weekend on call) We looking for operational engineer who is ready to work on weekends for oncall as primary criteria. Skills we look for AWS cloud (SQS, SNS, , DynomoDB, EKS), SQL (postgress, cassendra), snowflake, ControlM/Autosys/Airflow, ServiceNow, Datadog, Splunk, Grafana, python/shell scripting.

Req ID: 301172 We are currently seeking a Cloud Solution Delivery Lead Consultant to join our team in Pune, Mahrshtra (IN-MH), India (IN). Location - Remote AWS Lead Engineer will be required to design and build the cloud foundations platform. Translating project-specific needs into a cloud structure, design the cloud environment when required that covers all requirements with appropriate weightage given to the security aspect. Carryout deployment and integration of application in the designed cloud environment. Understand needs of business / client and implement cloud strategies those meet the needs. The candidate will also need good experience around software development principles, IaC and Github as devops tooling. Provide the necessary design to the team for building cloud infrastructure solutions, train and guide the team in provisioning/using/integrating the cloud services proposed in the design. Skills: Must have's 5+ years Proficient experience with AWS Cloud(AWS Core) 3+ years' relevant experience working on design cloud Infrastructure solution and cloud account migration Proficient in Cloud Networking and network configuration . Proficient in Terraform for managing Infrastructure as code (module based provisioning of infra, connectivity, provisioning of data services, monitoring services) Proficient in Github and Implementing CI/CD for infrastructure using IaC with Github Actions. AWS-CLI Have experience working with these AWS services: IAM Accounts, IAM Users & Groups, IAM Roles, Access Control RBAC, ABAC, Compute (EC2 and types and Costing), Storage (EBS, EFS,S3 etc), VPC, VPC Peering, Security Groups, Notification & Queue services, NACL, Auto Scaling Groups, CloudWatch, DNS, Application Load Balancer, Directory Services and Identity Federation, AWS Organizations and Control Tower, AWS Tagging Configuration, Certificate Management MVP Monitoring tool such as Amazon CloudWatch & hands-on with CloudWatch Logs. Examples of daily activities such as: - Account provisioning support - Policy Provisioning - Network support - Resource deployment support - Incident Support on daily work - Security Incident support DevOps experience o Github and github actions o Terraform o Python language o Go Language o Grafana o ArgoCD Nice to have's - Docker, - Kubernetes Able to work with Imperative and Declarative way to setup Kubernetes resources/Services

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