Site Reliability Engineer (SRE) We are seeking a skilled Site Reliability Engineer (SRE) to join our team and help build, maintain, and scale reliable, high-performance systems. Key Responsibilities: Design, build, and maintain scalable infrastructure using automation and Infrastructure-as-Code (IaC) tools. Monitor system performance, reliability, and availability using observability tools (e.g., Prometheus, Grafana, Datadog). Develop automation scripts to reduce manual tasks and improve system efficiency. Collaborate with development teams to design for reliability, scalability, and performance. Conduct root cause analysis and postmortems for incidents, ensuring follow-up on action items. Implement and improve CI/CD pipelines for faster, more reliable deployments. Define and maintain service-level objectives (SLOs), service-level agreements (SLAs), and error budgets. Participate in on-call rotations and incident response. Continuously improve system security, compliance, and resilience. Qualifications: Bachelor s degree in Computer Science, Engineering, or a related field, or equivalent experience. Strong knowledge of Linux/Unix systems and networking fundamentals. Proficiency in at least one programming or scripting language (e.g., Python, Go, Bash). Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker). Familiar with monitoring, logging, and alerting tools. Hands on with CI/CD tools and practices. Strong troubleshooting and problem-solving skills. Excellent communication and collaboration abilities. Preferred : Experience in designing and managing large-scale, distributed systems. Familiarity with configuration management tools (e.g., Ansible, Terraform, Chef, Puppet). Knowledge of database management and optimization (SQL, NoSQL). Prior experience in a DevOps or SRE role.
About The Company Wolken Software provides a suite of AI-enabled, SaaS 2.0 cloud-native applications for Customer Service and Enterprise Solutions namely Wolken Service Desk, Wolken's IT Service Management, and Wolken's HR Case Management. We have replaced incumbents like Salesforce, ServiceNow Zendesk, etc. at various Fortune 500 and Fortune 1000 companies. Job Description We are looking for a Business Analyst with strong organizational and planning skills and a proven ability to multitask in a fast-paced environment. We are seeking a high level of motivation and a self-starting attitude, and the ability to work with minimal direction and supervision. The ideal candidate will have a metrics/data-driven analytical mindset of constantly measuring success and driving continuous improvement in tools, content, and programs. Business Analyst Qualifications / Skills Able to exercise independent judgment and take action on it. Excellent analytical, and creative problem-solving skills Excellent listening, interpersonal, written, and oral communication skills Logical and efficient, with keen attention to detail Highly self-motivated and directed. Ability to effectively prioritize and execute tasks while under pressure. Strong customer service orientation Experience working in a team-oriented, collaborative environment. BE, MBA Preferable. Responsibilities Data analysis Business Insights Leadership Influence Strategy Problem structuring Project management Skills:- Business Analysis, Data Analytics and Project Management Show more Show less
Position :IT/Network Engineer JD. Location :Bengaluru (Only candidates from Bengaluru who can attend in-person interviews). Experience :5-9 years. About The Role : Strong domain expertise of a minimum of 5+ years. Installation, Configuration, maintenance and troubleshooting of windows server platform and service future. Network engineers must have a strong understanding of networking principles, including TCP/IP, the OSI model, subnetting, routing, switching, and VLANs. This helps them design, configure, and troubleshoot complex networks effectively. They must be proficient in configuring and managing network hardware such as routers, switches, firewalls, and access points. They also need familiarity with network operating systems (e.g, Cisco IOS, PANOS, SF-OS, Junos, etc.) and network management tools. Support end user management (service desk, laptop/desktop, printers, Wi-Fi, VPN). Installation, configuration, and upgradation for Windows, Linux, MAC, and iOS support. Installation, configuration, and maintenance of Google workspace (Email Server & Client). Implementation support and maintenance for Windows server (Azure, Microsoft 365, ADFS, Storage, Antivirus, Encryption, IAM, etc. Design and Implementation of the Domain Controller, DNS, DHCP Server, SCCM, VMWare, Print Server. Responsible for overlooking the complete transition of the Network devices into monitoring systems. Knowledge of network security concepts and best practices, including encryption protocols, firewalls, intrusion detection/prevention systems (IDS/IPS), access control, and security policies, makes it possible to protect against cyber threats and vulnerabilities. This means proficiency in virtualization technologies (e.g, VMware, Hyper-V) and cloud platforms (e.g, AWS, Azure, Google Cloud), which is crucial for designing, deploying, and managing virtual networks and cloud-based infrastructure. These engineers must understand wireless networking technologies, including Wi-Fi standards (e.g, 802.11ac, 802.11ax), wireless security protocols (e.g, WPA2, WPA3), and site survey methodologies to design, deploy, and optimize wireless networks. Certifications from network equipment vendors such as Cisco (e.g, CCNA, CCNP), Juniper (e.g, JNCIA, JNCIP), or Palo Alto Networks (e.g, PCNSA, PCNSE) demonstrate expertise in specific networking technologies and platforms. Network engineers must possess strong analytical skills to assess complex problems evaluate multiple solutions and make informed decisions under pressure to resolve issues and minimize downtime. Effective communication skills, both verbal and written, are important for network engineers to collaborate with team members, convey technical information to non-technical stakeholders, and document network designs, configurations, and procedures. (ref:hirist.tech)
As an AI/ML Engineer with 4-8 years of experience, you will be responsible for designing, developing, and implementing machine learning models and AI-driven solutions. Your role will involve collaborating closely with Product Developers and product teams to create intelligent applications that contribute to the organization's business value. To excel in this position, you must showcase proven expertise as a Machine Learning Engineer, supported by a robust portfolio of successful machine learning projects. Your proficiency should encompass a deep understanding of machine learning algorithms, statistical concepts, and data analysis techniques. Proficiency in programming languages such as Python or R is essential, along with experience in utilizing machine learning frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. Your skill set should also include practical experience with deep learning, neural networks, data visualization tools such as Matplotlib and Seaborn, version control systems like Git, and collaborative coding practices. Familiarity with big data technologies such as Hadoop and Spark, as well as knowledge of cloud platforms like AWS, Azure, and GCP and their machine learning services, will be advantageous. In addition to technical abilities, you should possess strong problem-solving and analytical skills, enabling you to navigate challenges effectively. An understanding of natural language processing (NLP) and computer vision will further enhance your capabilities in this role. The capacity to thrive in a dynamic, fast-paced environment is crucial for success in this position. If you are a proactive and driven professional with a passion for leveraging AI and ML technologies to drive innovation, this opportunity in Bengaluru, India, with a work mode of 5 days WFO, could be the ideal fit for you.,
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