44 Open Telemetry Jobs - Page 2

Role & responsibilities Build F5 Distributed Cloud data system and management systems Design/develop/enhance data, analytics, AI/Gen AI powered service on SaaS platform Design/develop/enhance telemetry and metrics pipeline and services Work closely with product, marketing, operation, platform, and customer support team to create innovative solution for Cloud product delivery Preferred candidate profile Bachelors degree in computer science or equivalent professional experience (7+ years). Proficiency in Cloud native development and programming languages such as GO, Java, Python Experience with data/stream processing (e.g., Kafka, Pub Sub, Dataflow, Vector, Spark, Flink), database and data warehouse (Clickhouse, BigQuery, StarRocks, Elasticsearch, Redis) Experience with logs, metrics, telemetry, Prometheus, Open Telemetry Experience with data system quality, monitoring and performance Experience in SaaS multi-tenancy, onboarding, metering & billing, monitoring & alerting Experience with container and orchestration technologies, Kubernetes and Microservice Experience with automation and cloud Infra, tooling, workload, modern CI/CD

Role & responsibilities Build F5 Distributed Cloud data system and management systems Design/develop/enhance data, analytics, AI/Gen AI powered service on SaaS platform Design/develop/enhance telemetry and metrics pipeline and services Work closely with product, marketing, operation, platform, and customer support team to create innovative solution for Cloud product delivery Preferred candidate profile Bachelors degree in computer science or equivalent professional experience (7+ years). Proficiency in Cloud native development and programming languages such as GO, Java, Python Experience with data/stream processing (e.g., Kafka, Pub Sub, Dataflow, Vector, Spark, Flink), database and data warehouse (Clickhouse, BigQuery, StarRocks, Elasticsearch, Redis) Experience with logs, metrics, telemetry, Prometheus, Open Telemetry Experience with data system quality, monitoring and performance Experience in SaaS multi-tenancy, onboarding, metering & billing, monitoring & alerting Experience with container and orchestration technologies, Kubernetes and Microservice Experience with automation and cloud Infra, tooling, workload, modern CI/CD

Role & responsibilities Build F5 Distributed Cloud data system and management systems Design/develop/enhance data, analytics, AI/Gen AI powered service on SaaS platform Design/develop/enhance telemetry and metrics pipeline and services Work closely with product, marketing, operation, platform, and customer support team to create innovative solution for Cloud product delivery Preferred candidate profile Bachelors degree in computer science or equivalent professional experience (7+ years). Proficiency in Cloud native development and programming languages such as GO, Java, Python Experience with data/stream processing (e.g., Kafka, Pub Sub, Dataflow, Vector, Spark, Flink), database and data warehouse (Clickhouse, BigQuery, StarRocks, Elasticsearch, Redis) Experience with logs, metrics, telemetry, Prometheus, Open Telemetry Experience with data system quality, monitoring and performance Experience in SaaS multi-tenancy, onboarding, metering & billing, monitoring & alerting Experience with container and orchestration technologies, Kubernetes and Microservice Experience with automation and cloud Infra, tooling, workload, modern CI/CD

Role & responsibilities Build F5 Distributed Cloud data system and management systems Design/develop/enhance data, analytics, AI/Gen AI powered service on SaaS platform Design/develop/enhance telemetry and metrics pipeline and services Work closely with product, marketing, operation, platform, and customer support team to create innovative solution for Cloud product delivery Preferred candidate profile Bachelors degree in computer science or equivalent professional experience (7+ years). Proficiency in Cloud native development and programming languages such as GO, Java, Python Experience with data/stream processing (e.g., Kafka, Pub Sub, Dataflow, Vector, Spark, Flink), database and data warehouse (Clickhouse, BigQuery, StarRocks, Elasticsearch, Redis) Experience with logs, metrics, telemetry, Prometheus, Open Telemetry Experience with data system quality, monitoring and performance Experience in SaaS multi-tenancy, onboarding, metering & billing, monitoring & alerting Experience with container and orchestration technologies, Kubernetes and Microservice Experience with automation and cloud Infra, tooling, workload, modern CI/CD

Role & responsibilities Build F5 Distributed Cloud data system and management systems Design/develop/enhance data, analytics, AI/Gen AI powered service on SaaS platform Design/develop/enhance telemetry and metrics pipeline and services Work closely with product, marketing, operation, platform, and customer support team to create innovative solution for Cloud product delivery Preferred candidate profile Bachelors degree in computer science or equivalent professional experience (7+ years). Proficiency in Cloud native development and programming languages such as GO, Java, Python Experience with data/stream processing (e.g., Kafka, Pub Sub, Dataflow, Vector, Spark, Flink), database and data warehouse (Clickhouse, BigQuery, StarRocks, Elasticsearch, Redis) Experience with logs, metrics, telemetry, Prometheus, Open Telemetry Experience with data system quality, monitoring and performance Experience in SaaS multi-tenancy, onboarding, metering & billing, monitoring & alerting Experience with container and orchestration technologies, Kubernetes and Microservice Experience with automation and cloud Infra, tooling, workload, modern CI/CD

Role & responsibilities Build F5 Distributed Cloud data system and management systems Design/develop/enhance data, analytics, AI/Gen AI powered service on SaaS platform Design/develop/enhance telemetry and metrics pipeline and services Work closely with product, marketing, operation, platform, and customer support team to create innovative solution for Cloud product delivery Preferred candidate profile Bachelors degree in computer science or equivalent professional experience (7+ years). Proficiency in Cloud native development and programming languages such as GO, Java, Python Experience with data/stream processing (e.g., Kafka, Pub Sub, Dataflow, Vector, Spark, Flink), database and data warehouse (Clickhouse, BigQuery, StarRocks, Elasticsearch, Redis) Experience with logs, metrics, telemetry, Prometheus, Open Telemetry Experience with data system quality, monitoring and performance Experience in SaaS multi-tenancy, onboarding, metering & billing, monitoring & alerting Experience with container and orchestration technologies, Kubernetes and Microservice Experience with automation and cloud Infra, tooling, workload, modern CI/CD

At Goldman Sachs, our Engineers are dedicated to making the impossible possible. We are committed to changing the world by bridging the gap between people and capital with innovative ideas. Our mission is to tackle the most complex engineering challenges for our clients, crafting massively scalable software and systems, designing low latency infrastructure solutions, proactively safeguarding against cyber threats, and harnessing the power of machine learning in conjunction with financial engineering to transform data into actionable insights. Join our engineering teams to pioneer new businesses, revolutionize finance, and seize opportunities in the fast-paced world of global markets. Engineering at Goldman Sachs, consisting of our Technology Division and global strategists groups, stands at the heart of our business. Our dynamic environment demands creative thinking and prompt, practical solutions. If you are eager to explore the limits of digital possibilities, your journey starts here. Goldman Sachs Engineers embody innovation and problem-solving skills, developing solutions in various domains such as risk management, big data, and mobile technology. We seek imaginative collaborators who can adapt to change and thrive in a high-energy, global setting. The Data Engineering group at Goldman Sachs plays a pivotal role across all aspects of our business. Focused on offering a platform, processes, and governance to ensure the availability of clean, organized, and impactful data, Data Engineering aims to scale, streamline, and empower our core businesses. As a Site Reliability Engineer (SRE) on the Data Engineering team, you will oversee observability, cost, and capacity, with operational responsibility for some of our largest data platforms. We are actively involved in the entire lifecycle of platforms, from design to decommissioning, employing an SRE strategy tailored to this lifecycle. We are looking for individuals who have a development background and are proficient in code. Candidates should prioritize Reliability, Observability, Capacity Management, DevOps, and SDLC (Software Development Lifecycle). As a self-driven leader, you should be comfortable tackling problems with varying degrees of complexity and translating them into data-driven outcomes. You should be actively engaged in strategy development, participate in team activities, conduct Postmortems, and possess a problem-solving mindset. Your responsibilities as a Site Reliability Engineer (SRE) will include driving the adoption of cloud technology for data processing and warehousing, formulating SRE strategies for major platforms like Lakehouse and Data Lake, collaborating with data consumers and producers to align reliability and cost objectives, and devising strategies with data using relevant technologies such as Snowflake, AWS, Grafana, PromQL, Python, Java, Open Telemetry, and Gitlab. Basic qualifications for this role include a Bachelor's or Master's degree in a computational field, 1-4+ years of relevant work experience in a team-oriented environment, at least 1-2 years of hands-on developer experience, familiarity with DevOps and SRE principles, experience with cloud infrastructure (AWS, Azure, or GCP), a proven track record in driving data-oriented strategies, and a deep understanding of data multi-dimensionality, curation, and quality. Preferred qualifications entail familiarity with Data Lake / Lakehouse technologies, experience with cloud databases like Snowflake and Big Query, understanding of data modeling concepts, working knowledge of open-source tools such as AWS Lambda and Prometheus, and proficiency in coding with Java or Python. Strong analytical skills, excellent communication abilities, a commercial mindset, and a proactive approach to problem-solving are essential traits for success in this role.,

At Goldman Sachs, our Engineers don't just make things - we make things possible. We change the world by connecting people and capital with ideas, solving the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking and immediate, real solutions. If you want to push the limit of digital possibilities, start here. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile, and more. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Data plays a critical role in every facet of the Goldman Sachs business. The Data Engineering group is at the core of that offering, focusing on providing the platform, processes, and governance for enabling the availability of clean, organized, and impactful data to scale, streamline, and empower our core businesses. As a Site Reliability Engineer (SRE) on the Data Engineering team, you will be responsible for observability, cost, and capacity with operational accountability for some of Goldman Sachs's largest data platforms. We engage in the full lifecycle of platforms from design to demise with an adapted SRE strategy to the lifecycle. We are looking for individuals with a background as a developer who can express themselves in code. You should have a focus on Reliability, Observability, Capacity Management, DevOps, and SDLC (Software Development Lifecycle). As a self-leader comfortable with problem statements, you should structure them into data-driven deliverables. You will drive strategy with skin in the game, participate in the team's activities, drive Postmortems, and have an attitude that the problem stops with you. **How You Will Fulfil Your Potential** - Drive adoption of cloud technology for data processing and warehousing - Drive SRE strategy for some of GS's largest platforms including Lakehouse and Data Lake - Engage with data consumers and producers to match reliability and cost requirements - Drive strategy with data **Relevant Technologies**: Snowflake, AWS, Grafana, PromQL, Python, Java, Open Telemetry, Gitlab **Basic Qualifications** - A Bachelor's or Master's degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline) - 1-4+ years of relevant work experience in a team-focused environment - 1-2 years hands-on developer experience at some point in career - Understanding and experience of DevOps and SRE principles and automation, managing technical and operational risk - Experience with cloud infrastructure (AWS, Azure, or GCP) - Proven experience in driving strategy with data - Deep understanding of multi-dimensionality of data, data curation, and data quality - In-depth knowledge of relational and columnar SQL databases, including database design - Expertise in data warehousing concepts - Excellent communication skills - Independent thinker, willing to engage, challenge, or learn - Ability to stay commercially focused and to always push for quantifiable commercial impact - Strong work ethic, a sense of ownership and urgency - Strong analytical and problem-solving skills - Ability to build trusted partnerships with key contacts and users across business and engineering teams **Preferred Qualifications** - Understanding of Data Lake / Lakehouse technologies incl. Apache Iceberg - Experience with cloud databases (e.g., Snowflake, Big Query) - Understanding concepts of data modeling - Working knowledge of open-source tools such as AWS lambda, Prometheus - Experience coding in Java or Python,

Monitor production systems & services using observability tools (logs, metrics, traces, dashboards, Respond to incidents Design, implement & maintain observability solutions (eg Prometheus, Grafana, ELK) Technical Operations & Continuous Improvement Required Candidate profile Must have* Exp in Azure services with AWS Hands on with (IaC) tools such as Terraform Scripting skills in Python/Bash/PowerShell Familiarity with Gitlab CI/CD tools Notice Period - 1 month or less

As a Senior Software Engineer II at Marriott Tech Accelerator in Hyderabad, India, you will play a crucial role in leading the design, solutioning, and delivery of large-scale enterprise applications. Your primary focus will be on product development and solving complex problems with innovative solutions. Your responsibilities will include providing technical leadership by training and mentoring team members, offering financial input on budgets, and identifying opportunities to enhance service delivery processes. You will be responsible for delivering technology by conducting quantitative and qualitative analyses, ensuring project completion within scope, and coordinating with IT and vendor relations teams. In terms of IT governance, you will adhere to defined standards and processes while maintaining a balance between business and operational risk. You will also be involved in service provider management, validating project plans, monitoring outcomes, and resolving service delivery problems promptly. To excel in this role, you should have 6-8 years of software development experience with a deep understanding of integration patterns, API management platforms, and various design architectures. Your expertise should cover a wide range of technologies including Java, GraalVM, NoSQL, Spring Boot, Docker, Kubernetes, AWS, and more. Additionally, you should have hands-on experience with DevOps, CI/CD pipelines, infrastructure components, and cloud-native design patterns. Your background should include leading integration solutions development, architecting distributed systems, and working with microservices and serverless technologies. Ideally, you should have a bachelor's degree or equivalent experience/certification. Your ability to work in a hybrid mode and collaborate effectively in an agile development environment with a mix of onshore and offshore teams will be crucial for success in this role. If you are a results-oriented individual with a passion for cutting-edge technology and a track record of technology leadership, we encourage you to apply for this exciting opportunity at Marriott Tech Accelerator.,

Job Summary Site Reliability Engineers (SRE's) cover the intersection of Software Engineer and Systems Administrator. In other words, they can both create code and manage the infrastructure on which the code runs. This is a very wide skillset, but the end goal of an SRE is always the same: to ensure that all SLAs are met, but not exceeded, so as to balance performance and reliability with operational costs. As a Site Reliability Engineer II, you will be learning our systems, improving your craft as an engineer, and taking on tasks that improve the overall reliability of the VP platform. Key Responsibilities: Design, implement, and maintain robust monitoring and alerting systems. Lead observability initiatives by improving metrics, logging, and tracing across services and infrastructure. Collaborate with development and infrastructure teams to instrument applications and ensure visibility into system health and performance. Write Python scripts and tools for automation, infrastructure management, and incident response. Participate in and improve the incident management and on-call process, driving down Mean Time to Resolution (MTTR). Conduct root cause analysis and postmortems following incidents and champion efforts to prevent recurrence. Optimize systems for scalability, performance, and cost-efficiency in cloud and containerized environments. Advocate and implement SRE best practices, including SLOs/SLIs, capacity planning, and reliability reviews. Required Skills & Qualifications: 1+ years of experience in a Site Reliability Engineer or similar role. Excellent communicaiton skills in English. Proficiency in Python for automation and tooling. Hands-on experience with monitoring and observability tools such as Prometheus, Grafana, Datadog, New Relic, Open Telemetry, etc. Experience with log aggregation and analysis tools like ELK Stack (Elasticsearch, Logstash, Kibana) or Fluentd. Good understanding of cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes). Familiarity with infrastructure-as-code (Terraform, Ansible, or similar). Strong debugging and incident response skills. Knowledge of CI/CD pipelines and release engineering practices.

Job Description Position : KOP Group Lead / Technical Manager (Krones Operating Platform) Location : Bengaluru Who are we looking for? Krones Digital Solutions India is looking for a KOP Technical Group Lead / Technical Manager who will be responsible for developing and maintaining scalable solutions and is able to guide and lead team of software developers. He/she should be able to accompany on solutions throughout by designing, implementing, integrating, and operating. The role will be based out of Bangalore and will directly report to the Head of Product Development, KDSI. What are you in for? (Roles and responsibilities) Your responsibilities would include but are not limited to the below: Technology leadership Develop and maintain scalable software solutions, leveraging cutting-edge software technologies and frameworks. Implement RESTful APIs and microservices to process data from various sources and enable the exchange of information between users and providers. Align the scalability and performance of our backend system to meet the needs of a growing user base. Ensure smooth integration and communication with our platform and cloud components. Ensure security measures are taken to protect the integrity of data and privacy of users. Develop, deploy and manage containers with Docker and familiarity with Kubernetes deployment. Team Management Lead and develop a team of high performing software developers in the successful execution of the Development projects. Own and shape the vision, goal & culture of the Development team and be responsible for the overall growth and development of all the team members. Foster a result-oriented, performance-driven culture by building well defined competency roadmap for your teams, drive the same by setting clear goals and performance metrics and subsequently coach/mentor the teams towards the achievement of the set goals. Institutionalize operating best practices, organization structures, cost management KPIs to bring in efficiency and productivity. What is in it for you? You are a part of a brand-new org. setup with a clean slate and a mission to build a People first organization. You will be part of Krones. Digital community supporting as a KOP Group lead / Technical Manager and will be working beyond borders, with international teams seeking and imparting learning throughshared/individual experiences and knowledge through the community. What are we looking for? (Experience/Qualifications/Skillsets/Must-haves) Education : Bachelors degree in Engineering/Computer Science/Mathematics/Physics or a comparable qualification with 12 to 15 years of relevant experience. Must have requirements for: MANDATORY SKILLS GOOD TO HAVE .NET 6+ (C#) OR Python 3.9+ Secure architecture Linux (Debian) Kubernetes (K3S, K8S) Docker MQTT Helm Open Telemetry AWS IoT Greengrass, EC2, SSM Serverless microservices , microservice architecture SQL / noSQL databases, DBMS *Knowledge of event-driven architecture and cloud-native based environments. *AWS cloud platform and SQL, NoSQL databases, is advantageous. *Proficiency in IoT protocols such as MQTT and OPC UA, with practical experience in their integration. Professional Attributes Good interpersonal and organizational skills Explore latest trends and technologies and have a passion for integrating them into industry-leading applications. Experience in digital product development and agile working methods. Collaborate with team to drive solutions forward and fostering a productive work environment. Ability to coach, mentor and grow the team. Integrity and ethical leadership Result oriented with the ability to establish priorities and deliver through the larger team. Experience of working in a Scrum or Agile environment and understand the methodologies and principals involved. Ability to analyse, goal orientation, motivation, and a structured sustainable way of working. Good Communication skills (Written and verbal).

Hands-on in Azure Databricks monitoring logging, Spark UI, Ganglia, REST API, Log Analytics, Spark Monitoring Library, OpenCensus. Skilled in real-time data analysis, Azure ecosystem, OTEL, Grafana, and designing scalable observability tools.

Project description We're seeking a strong and creative Software Engineer eager to solve challenging problems of scale and work on cutting edge technologies. In this project, you will have the opportunity to write code that will impact thousands of users every month. You'll implement your critical thinking and technical skills to develop cutting edge software, and you'll have the opportunity to interact with teams across disciplines. In Luxoft, our culture is one that strives on solving difficult problems focusing on product engineering based on hypothesis testing to empower people to come up with ideas. In this new adventure, you will have the opportunity to collaborate with a world-class team in the field of Insurance by building a holistic solution, interacting with multidisciplinary teams. Responsibilities Build scripts that can handle parallel and batch processing and ensure execution with best performance parameters. Fine Tune existing scripts for performance Manage the end-to-end development using Python Should be able to bring best standards and practices in python coding from previous experience. Skills Must have Minimum 6+ years of relevant professional experience on core Python development and CrewAI(open source multiagent orchestration framework) mandatory Automate multiagent workflows using CrewAI Should be hands-on at scripting, programming especially in Python Should be capable of designing the program independently e.g. Python wrappers around other programs / scripts Should have been working on Agile DevOps culture [ADO ] Kanban and sprints. Should be senior enough for matured interactions internally and with Clients Nice to have Knowledge of Open Telemetry , SDK, APIs and client server models Acquaintance with IBM Z mainframe systems and relevant components like Omnibus, MQ, CICS, DB2, IMS Exposure to Monitoring cum observability domain Other Languages English: C2 Proficient Location - Pune,Bangalore,Hyderabad,Chennai,Noida

Software Engineer - Observability Strong Experience in Python Coding, AWS Services- Cloud Watch, X-Ray & Lambda, Open Telemetry ( Should know) Dynatrace On-prem and SaaS | Person should have hands-on experience in setting up and designing dashboards Should be hand on in Python Coding Observability – Must have complete context of SLI/SLO/SLA, how to set up, how to measure, how to track and communicate Open Source Observability Stack – Good Understanding of Open Telemetry , How to instrument applications to get desired metrics, traces, logs, etc AWS Service – Cloud Watch, X-Ray, Lambda, overall data flow Open Shift Rosa – Red Hat Open shift on AWS Development Experience – Any language, should be able to read code and develop utilities as required. Grafana

Project Description: We're seeking a strong and creative Software Engineer eager to solve challenging problems of scale and work on cutting edge technologies. In this project, you will have the opportunity to write code that will impact thousands of users every month. You'll implement your critical thinking and technical skills to develop cutting edge software, and you'll have the opportunity to interact with teams across disciplines. In Luxoft, our culture is one that strives on solving difficult problems focusing on product engineering based on hypothesis testing to empower people to come up with ideas. In this new adventure, you will have the opportunity to collaborate with a world-class team in the field of Insurance by building a holistic solution, interacting with multidisciplinary teams. Responsibilities: • As a Lead OpenTelemetry Developer, you will be responsible for developing and maintaining OpenTelemetry-based solutions. • You will work on instrumentation, data collection, and observability tools to ensure seamless integration and monitoring of applications. • This role involves writing documentation and promoting best practices around OpenTelemetry. Mandatory Skills: Dynatrace Java Microsoft Windows PowerShell Python Mandatory Skills Description: Senior candidates with 8+ years of experience • Experience in Instrumentation: Expertise in at least one programming language supported by Open Telemetry and a broad knowledge of other languages (e.g., Python, Java, Go, PowerShell, .NET) • Passion for Observability: Strong interest in observability and experience in writing documentation and blog posts to share knowledge. o Experience in Java instrumentation techniques (e.g. bytecode manipulation, JVM internals, Java agents) Secondary Skills - Telemetry - Familiarity with tools and technologies on one or more of the below such as Prometheus, Grafana, and other observability platforms (E.g. Dynatrace, AppDynamics (Splunk), Amazon CloudWatch, Azure Monitor, Honeycomb)

We are looking for a Network Automation Engineer with a strong foundation in Python, DevOps , and GUI automation to transform our network operations. This role is central to automating key functions like service provisioning, monitoring, and fault resolution using advanced frameworks and tools. You will work closely with Network, SRE, and DevOps teams to build robust automation solutions that enhance efficiency and reliability across the organization. Key Responsibilities Network Automation & Scripting Develop and maintain Python scripts for network provisioning, configuration, and monitoring. Automate workflows using APIs, CLI, Netconf, REST, and Ansible. DevOps & CI/CD Integration Design CI/CD pipelines using Jenkins, GitLab, or Ansible AWX. Manage containerized applications with Docker and Kubernetes. Use Terraform and other Infrastructure-as-Code (IaC) tools. GUI Automation & RPA Automate GUI-based tasks with tools like Selenium, PyAutoGUI, AutoIt. Develop RPA scripts for repetitive manual processes. Monitoring & Observability Implement observability tools: Prometheus, Grafana, ELK stack. Automate alerts and incident responses using Python scripting. Collaboration & Documentation Work closely with cross-functional teams. Create and maintain technical documentation, playbooks, and standard operating procedures. Required Skills & Experience Programming & Scripting Python (advanced scripting, APIs, multithreading, libraries) Bash, PowerShell, YAML Network & Systems Knowledge Protocols: TCP/IP, SDH, VoIP, SIP, Routing & Switching Experience with routers, switches, firewalls Familiarity with BSS/OSS, NMS/EMS systems, 5G networks, and virtualized platforms (vBlock, CNIS). DevOps Tools & Platforms Ansible, Terraform, Docker, Kubernetes CI/CD: Jenkins, GitLab, Git APIs: REST, SNMP, Netconf, gRPC GUI & RPA Automation Tools: Selenium, PyAutoGUI, Pywinauto, AutoIt. Integration with APIs, data sources, and enterprise tools. Monitoring & Logging Prometheus, Grafana, ELK, Splunk, OpenTelemetry Preferred Qualifications Experience with cloud networking (AWS, GCP, Azure). Knowledge of AI/ML-based network automation. Exposure to orchestration tools (ONAP, Cisco NSO, OpenStack). What We Offer Technically challenging projects in a dynamic environment. Opportunity to work on cutting-edge network infrastructure. Competitive compensation and benefits. Culture of innovation, collaboration, and continuous learning.

Dear Candidate, We are hiring an Observability Engineer to enhance monitoring, tracing, and system visibility. Key Responsibilities: Build and maintain observability dashboards. Integrate logging, metrics, and tracing. Help teams debug using distributed tracing and logs. Required Skills & Qualifications: Experience with OpenTelemetry, Grafana, Prometheus, Loki. Strong scripting and DevOps background. Understanding of distributed systems. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

The Opportunity " We are building the future of FICOs Platform capabilities. Come join our team as a hands-on technical leader where youll drive development of Java microservices and help us realize our strategic architectural vision. You will work in an Agile environment, working with a team of architects, engineers, and product leaders on platform services that run in multiple cloud infrastructures. You will be strongly challenged and will work within an amazing software organization . - VP, Software Engineering What You'll Contribute Design, develop, test, deploy, and support the capabilities of a large world-class enterprise-level platform Create scalable microservices of high performance, high availability, interoperability, and reliability Drive architectural designs and technical proof of concepts, and guide technical directions of your team while adhering to standards and guidance from senior engineers and architecture team members Strong foundation of enterprise architectural models and distributed software design Serve as a technical subject matter expert, mentor other engineers, and raise quality standards Manage ambiguity, proactively discover and attack issues, and lead the team through tough challenges Share ownership in quality, test automation, continuous integration and delivery, and production operation Strong communicator to all levels, capable of deep technical conversations with engineers and delivering concise messaging with product and business leaders Quickly escalate challenges and risks incurred during projects What We're Seeking Bachelor's/Masters degree in Computer Science or related disciplines, and 6+ years of relevant experience Expertise in Go/Golang programming is a must Expertise in Kubernetes is a must Strong backend/server end to end development experience Spring Framework and Spring Boot Microservices are required, and Spring Cloud Stream is a plus RESTful Web services Experience in Open Telemetry is good to have Full-stack development with JavaScript and Angular experience is a plus Event driven architecture is a plus Amazon Web Services (AWS) is required, and Microsoft Azure and Google Cloud (GCP) are a plus Certifications like AWS Cloud Practitioner, Developer, and Solutions Architect are a plus Relational databases, SQL proficiency, and Object-to-relational mapping (Hibernate) Experienced and passionate with unit and functional testing, automated regression, and test integration Containerization, with Docker/Kubernetes Helm, Amazon EKS/OpenShift, and infrastructure as code (IaC) for cloud provisioning are a plus GIT, Maven, Gradle, and CI/CD tools Comfortable with Scrum software methodology is required