35919 Kubernetes Jobs - Page 34

Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it.In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. Yubi Credit Marketplace - With the largest selection of lenders on one platform, our credit marketplace helps enterprises partner with lenders of their choice for any and all capital requirements. Yubi Invest - Fixed income securities platform for wealth managers & financial advisors to channel client investments in fixed income Financial Services Platform - Designed for financial institutions to manage co-lending partnerships & asset based securitization Spocto - Debt recovery & risk mitigation platform Corpository - Dedicated SaaS solutions platform powered by Decision-grade data, Analytics, Pattern Identifications, Early Warning Signals and Predictions to Lenders, Investors and Business Enterprises. So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story Role and Responsibilities Developing a revolutionary finance marketplace product that includes design, user experience, and business logic to ensure the product is easy to use, appealing, and effective. Lead multiple high-performance engineering teams, defining and ensuring adherence to processes. Work closely with the Product Manager and Designer to ideate the product build. Coordinate with Architects to ensure tech alignment Participate in code and design reviews, establishing best software design and development practices. Mentor junior engineers and foster innovation within the team. Design and develop the pod’s software components and systems. Evaluate and recommend tools, technologies, and processes, driving adoption to ensure high-quality products. Participate in technical hiring activities to attract top talent. Requirements Minimum 8+ years of experience in full stack development, delivering enterprise-class web and mobile applications and services. Expertise in Java technologies including Spring, Hibernate, and Kafka. Proven experience in designing scalable applications capable of handling millions of transactions. Strong knowledge of NoSQL and RDBMS, with expertise in schema design and handling large volumes of data. Experience with Kubernetes deployment and managing CI/CD pipelines. Ability to function effectively in a fast-paced environment and manage continuously changing business needs. A strong advocate of code craftsmanship, adhering to good coding standards, and utilising tools to improve code quality. Experience with microservices architecture and RESTful APIs. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack). Competent in software engineering tools (e.g., Java build tools) and best practices (e.g., unit testing, test automation, continuous integration). Experience with the Cloud technologies of AWS and GCP and developing secure applications Proven experience in leading engineering teams and managing projects. Strong understanding of the software development lifecycle and agile methodologies.

Job Title: SRE Engineer with GCP cloud Location: Hyderabad & Ahmedabad Work Model: Hybrid 3 Days from office Exp in year: 6+years Job Overview Dynamic, motivated individuals deliver exceptional solutions for the production resiliency of the systems. The role incorporates aspects of software engineering and operations, DevOps skills to come up with efficient ways of managing and operating applications. The role will require a high level of responsibility and accountability to deliver technical solutions. Summary: As a Senior SRE, you will ensure platform reliability, incident management, and performance optimization. You'll define SLIs/SLOs, contribute to robust observability practices, and drive proactive reliability engineering across services. Roles and Responsibilities: · Define and measure Service Level Indicators (SLIs), Service Level Objectives (SLOs), and manage error budgets across services. · Lead incident management for critical production issues – drive root cause analysis (RCA) and post-mortems. · Create and maintain run books and standard operating procedures for high[1]availability services. · Design and implement observability frameworks using ELK, Prometheus, and Grafana; drive telemetry adoption. · Coordinate cross-functional war-room sessions during major incidents and maintain response logs. · Develop and improve automated system recovery, alert suppression, and escalation logic. · Use GCP tools like GKE, Cloud Monitoring, and Cloud Armor to improve performance and security posture. · Collaborate with DevOps and Infrastructure teams to build highly available and scalable systems. · Analyse performance metrics and conduct regular reliability reviews with engineering leads. · Participate in capacity planning, failover testing, and resilience architecture reviews. Mandatory: · Cloud: GCP (GKE, Load Balancing, VPN, IAM) · Observability: Prometheus, Grafana, ELK, Data dog · Containers & Orchestration: Kubernetes, Docker · Incident Management: On-call, RCA, SLIs/SLOs · IaC: Terraform, Helm · Incident Tools: PagerDuty, OpsGenie Nice to Have: · GCP Monitoring, Sky walking · Service Mesh, API Gateway · GCP Spanner, MongoDB (basic)

Job Title: Backend Developer.NET Core Work Model: Remote Experience: 5+years Job Summary: We are looking for experienced Backend Developers to join our growing engineering team. The ideal candidates will have strong expertise in .NET Core, C#, and hands-on experience with AWS services such as S3 and SQS. You will be responsible for designing, developing, and maintaining scalable backend services and micro services with a focus on performance, reliability, and quality. Key Responsibilities: Design and develop scalable backend systems using .NET Core and C#. Build and manage Restful APIs and micro services architecture. Work with AWS services, particularly S3, SQS, and optionally EKS. Implement secure and efficient data storage using SQL Server and other data sources. Apply OOPs and SOLID principles to design clean, maintainable, and testable code. Integrate DevOps practices with CI/CD pipelines for smooth deployments. Collaborate with cross-functional teams including Frontend Developers, DevOps Engineers, and QA teams. Optimize applications for performance, scalability, and reliability. Maintain documentation of system architecture and development processes. Troubleshoot and debug complex technical issues. Primary Skills Required: Strong hands-on experience in .NET Core and C# Solid understanding of Object-Oriented Programming (OOPs) and SOLID design principles Proficiency in SQL Server – writing stored procedures, views, and performance tuning Hands-on with AWS services – especially S3 and SQS Experience in designing and building micro services Exposure to CI/CD pipelines using tools like Jenkins, GitHub Actions, Azure DevOps, etc. Preferred Skills (Good to Have): Experience with Elastic search for full-text search and analytics Familiarity with Kafka for event-driven architecture Knowledge of Kubernetes (EKS) for container orchestration Exposure to Generative AI tools and APIs Familiar with logging/monitoring tools like Grafana, Prometheus, Cloud Watch

Job Title: Java Developer Location: Visakhapatnam / Hyderabad Experience: 2-4 Years Company Link: About Us - Sails Software Inc Company Introduction: We assist leading companies in designing, developing, and operating the products and services that will define tomorrow's world. They specialize in envisioning, planning, engineering, and managing digital goods and experiences for high-growth organizations striving to disrupt through innovation and velocity. Our undergoing helps businesses in fast-growing areas involving "Hi-tech, manufacturing, banking & financial services, insurance, consumer services, public services, and Healthcare services" achieve their goals. Our USP's Digital Innovation Passionate Approach Transparent Business Model What you’ll do Perform general application development activities, including unit testing, code deployment to various environments using Java, Spring Boot on GCP Maintains and enhances high-scale applications from the backend to the UI layer, focusing on operational excellence, security, and scalability. Solves problems with medium complexity Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.) Triage product or system issues and debug/track/resolve them by analyzing the sources of issues and the impact on network, or service operations and quality. Work across teams to integrate our systems with existing internal systems, Data Fabric, and CSA Toolset. Documents code/processes so any other developer can dive in with minimal effort. Actively participates in the estimation process, project planning, user story grooming, sprint reviews, retrospectives, etc. Cloud Certification Strongly Preferred What experience Bachelor's degree or equivalent experience 2-4 years of overall IT experience 2+ years’ experience working with Java, Spring Boot, and Microservices 2+ years’ experience with source code management systems (e.g. SVN/Git, GitHub), CICD, Kubernetes, Infrastructure as Code 2+ years’ experience with software build management tools like Maven or Gradle What could set you apart Self-starter that identifies/responds to priority shifts with minimal supervision Awareness of the latest technologies and trends. Career graph shows a willingness to learn and grow UI development (e.g. HTML, JavaScript, Angular, and Bootstrap) Agile environments (e.g. Scrum, XP) Relational databases (e.g. SQL Server, MySQL) Atlassian tooling (e.g. JIRA, Confluence, and GitHub) Developing with modern JDK (v1.7+)

About the Role We are looking for an experienced and proactive DevOps Lead to spearhead our infrastructure and DevOps initiatives. With 5+ years of hands-on experience, including recent leadership or mentorship roles, you will be responsible for guiding a team of DevOps engineers, architecting scalable infrastructure, and driving continuous improvement across CI/CD, monitoring, and security practices. You’ll play a strategic role in aligning infrastructure reliability with business needs, while fostering collaboration between development and IT operations teams. Key Responsibilities Leadership & Strategy Lead and mentor a team of DevOps engineers, ensuring alignment with technical and business objectives. Define and implement best practices in DevOps, infrastructure automation, and system reliability. Collaborate with engineering, and product teams to plan and deliver scalable solutions. Take ownership of system architecture and provide guidance on infrastructure design and performance optimisation. Infrastructure & System Management Oversee the provisioning, configuration, and maintenance of software, hardware, and networks across cloud and on-prem environments. Manage cross-platform environments including Linux, Windows, and macOS. Drive improvements in infrastructure automation and development environments. Oversee configuration and performance of web servers (e.g., Apache, Nginx) and databases (e.g., MySQL, MongoDB). DevOps & CI/CD Architect and manage robust CI/CD pipelines using tools like Jenkins, GitHub Actions, or similar. Lead initiatives around infrastructure as code, containerisation (Docker), and hybrid/multi-cloud deployments (AWS preferred). Establish standards for version control, deployment workflows, and release management. Guide teams in adopting scalable, repeatable deployment strategies. Monitoring, Reliability & Performance Set up and manage monitoring, alerting, and observability systems (e.g., Uptime Kuma, Prometheus, Grafana). Lead incident response, root cause analysis, and efforts to improve overall system reliability. Define and track key metrics for uptime, system health, and performance. Security & Compliance Own and enforce infrastructure security policies, including access control, endpoint protection, and vulnerability mitigation. Oversee backup strategies, disaster recovery planning, and compliance initiatives. Ensure secure DevOps practices in collaboration with other teams. Preferred Qualifications & Skills 5+ years of experience in DevOps, Site Reliability Engineering, or Systems Administration. Proven experience in leading or mentoring technical teams. Deep understanding of Linux-based systems and cloud platforms (especially AWS). Strong expertise in CI/CD pipelines, Git workflows, and infrastructure as code. Proficiency in managing web servers and backend stacks (PHP, Node.js, etc.). Hands-on experience with containerisation and orchestration tools (Docker, Kubernetes is a plus). Experience with monitoring and logging frameworks. Excellent problem-solving skills and a collaborative mindset. Awareness of emerging DevOps trends and technologies; ability to recommend and implement forward-looking solutions.

4+ years hands-on experience in Java/Spring Framework/Spring Boot Experience of Java 17+ preferable. Experience designing and building scalable micro-services using API-First principles using at least one of REST/gRPC. Exposure to Docker, Kubernetes and cloud services is beneficial. Experience in message brokers such as Kafka is a plus. Demonstrable experience building modern software using engineering tools such as git, maven, unit testing and integration testing tools, mocking frameworks. Effective communication and presentation skills (written and verbal) are required. Strong analytical problem-solving skills with an ability to pick up new concepts quickly. Bachelor's or master's degree in computer science or Engineering preferred.

Job description: Purpose of the Job The candidate for Manager – DevOps / Release Management is liable for automating all the manual tasks for developing and deploying code and data to implement continuous deployment and continuous integration frameworks. They are also held responsible for maintaining high availability of production and non-production work environment. This is a hands-on leadership role, requiring the ability to directly contribute to the implementation and optimization of CI/CD pipelines, infrastructure automation, and release management practices. Job Description Design, implement, and manage robust CI/CD pipelines and infrastructure automation frameworks for applications and data services. Oversee and execute release management processes across environments, ensuring governance, repeatability, and quality. Lead the development and maintenance of infrastructure as code and config management tools (e.g., Terraform, Ansible). Improve efficiency of Release Management process, with a focus on quality and minimizing post-production issues. Proactively monitor production and non-production systems to ensure high availability, scalability, and performance. Identify and resolve deployment issues in real time and implement monitoring, alerting, and rollback mechanisms. Collaborate with development, QA, and product teams to support seamless integration and deployment of features. Guide and mentor junior DevOps engineers, instilling DevOps best practices and reusable frameworks. Drive DevSecOps adoption, integrating security checks and compliance into the release lifecycle. Stay current on industry trends and continuously assess tools, frameworks, and approaches that improve operational efficiency. Manage hybrid and cloud-native deployments, with a strong focus on AWS, while supporting Azure and on-prem transitions. Own technical documentation and process design for release pipelines, deployment architecture, and system automation. Help transform the Release Management function from the ground up, including strategy, team development, tooling, and governance. Job Requirements - Experience and Education Bachelor's degree in Computer Science, Engineering, or a related technical field. Minimum of 10+ years of experience in DevOps, Site Reliability Engineering, or Release Management roles. Strong hands-on experience with CI/CD tools such as Jenkins, TeamCity, GitHub Actions, Octopus Deploy, or similar. Proven experience in cloud platforms: AWS (preferred), Azure, or OCI. Skilled in scripting and automation (Python, Shell, Bash) and infrastructure as code (Terraform, CloudFormation). Experience managing release workflows, branching strategies, versioning, and rollbacks. Working knowledge of containerization and orchestration (e.g., Docker, Kubernetes, ECS). Familiarity with monitoring/logging tools (e.g., Datadog, Prometheus, ELK Stack). Strong communication and stakeholder management skills, capable of cross-functional collaboration. Experience working with distributed systems and data platforms (e.g., Elasticsearch, Cassandra, Hadoop) is a plus. Leadership Behaviors Building Outstanding Teams Setting a clear direction Simplification Collaborate & break silos Execution & Accountability Growth mindset Innovation Inclusion External focus Skills

Job Title: Senior Infrastructure Specialist Experience: 8+ Years Skills: Kubernetes, Infrastructure, Containers, Linux, Cloud, Infrastructure as Code (IaC) Department: IT Reports To: Tech Lead Location: Pune (Hybrid) Role Summary We are seeking a highly experienced Senior Infrastructure Specialist to lead and manage scalable infrastructure and container-based environments. This role focuses on Kubernetes orchestration , automation , and maintaining secure, reliable, and efficient platform services. You’ll play a critical role in evolving infrastructure systems using modern DevOps practices, and driving the adoption of containerization and cloud-native technologies across the organization. Key Responsibilities Design, automate, and maintain CI/CD pipelines for OS image creation. Independently create, manage, and deploy hypervisor templates. Manage and scale the Vanderlande Container Platform across test, acceptance, and production environments. Administer and optimize 150+ downstream Kubernetes clusters , ensuring performance, reliability, and uptime. Improve solutions related to container platforms , edge computing , and virtualization . Lead the transition from VMware OVAs to a Kubernetes-based virtualization architecture, incorporating insights from Proof of Concept (PoC) initiatives. Focus on platform automation , using Infrastructure as Code to minimize manual tasks. Ensure security hardening and compliance for all infrastructure components. Collaborate closely with development, DevOps, and security teams to drive container adoption and lifecycle management. Required Qualifications & Skills 8+ years of infrastructure engineering experience. Deep expertise in Kubernetes architecture, deployment, and management. Strong background in Linux systems administration and troubleshooting. Proficiency with cloud platforms (AWS, Azure, GCP). Hands-on experience with Infrastructure as Code tools like Terraform and Ansible. CI/CD development experience (GitLab, Jenkins, ArgoCD, etc.). Familiarity with virtualization technologies (VMware, KVM). Key Skills (Core) Kubernetes (cluster management, Helm, operators, upgrades) Containerization (Docker, container runtime, image security) Cloud-Native Infrastructure Linux System Engineering Infrastructure as Code (IaC) DevOps & Automation Tools Security & Compliance in container platforms Soft Skills Proactive and solution-oriented mindset. Strong communication and cross-functional collaboration. Analytical thinking with the ability to troubleshoot complex issues. Time management and the ability to deliver under pressure. Preferred Qualifications CKA / CKAD Certification (Kubernetes) Cloud certifications (AWS/Azure/GCP) Experience in implementing container security and compliance tools (e.g., Aqua, Prisma, Trivy) Exposure to GitOps tools like ArgoCD or Flux Monitoring and alerting experience (Prometheus, Grafana, ELK stack) Internal Key Relationships: DevOps, Platform, and Development teams Cloud Infrastructure Teams Cybersecurity and Governance groups External Technology vendors and third-party platform providers External consultants and cloud service partners Role Dimensions Ownership of high-scale Kubernetes infrastructure Strategic modernization of infrastructure environments Coordination of multi-cluster container platforms Success Measures (KPIs) Uptime and reliability of container platforms Reduction in manual deployment and provisioning tasks Successful Kubernetes migration from legacy systems Cluster performance and security compliance Team enablement and automation adoption Competency Framework Alignment Kubernetes Mastery: Deep expertise in managing and optimizing Kubernetes clusters. Infrastructure Automation: Creating reliable, repeatable infrastructure workflows. Containerization Leadership: Driving adoption and best practices for container platforms. Strategic Execution: Aligning infrastructure strategy with enterprise goals. Collaboration: Building bridges between development, operations, and security 👉 If this sounds like you — or someone you know—DM me or send an email to nivetha.s@eminds.ai

We are seeking a talented and experienced Java Lead to join our dynamic engineering team. As a Java Lead, you will play a critical role in architecting, developing, and maintaining our enterprise-level Java applications while providing technical leadership to the team. Position Overview Experience Range: 7-10 years Location: Chennai Key Responsibilities Architect and develop robust, scalable Java applications using modern Java frameworks and technologies Provide technical leadership and mentorship to development team members Design and implement high-performance, scalable solutions using Java, Spring Framework, and cloud technologies Optimize application architecture for performance, reliability, and scalability Lead code reviews and ensure adherence to coding standards and best practices Collaborate with cross-functional teams to define, design, and implement new features Participate in architecture discussions and technical planning Troubleshoot and resolve complex technical issues Required Qualifications 7-10 years of experience in Java software development Solid understanding of Java Multithreading. Good exposure to ELK usage and ELK APIs. Minimum 5 years of experience with Java 8, with recent experience in Java 11 or above Strong coding skills with deep Java language fundamentals including Lambda expressions and Streams API Excellent knowledge of Spring Framework ecosystem (not just Spring Boot) Strong foundations in data structures, algorithms, and design patterns CI/CD pipeline development and optimization Experience with containerization using Docker Familiarity with AWS deployment services, including Amazon Elastic Kubernetes Service (EKS) and Terraform Preferred Qualifications Experience with Apache Kafka Microservices architecture design and implementation Experience with performance tuning and optimization Technical Skills Programming Languages: Java (v11+) Frameworks: Spring Framework, Spring Boot Databases: MongoDB, SQL databases Cloud Services: AWS, EKS Tools: Docker, Terraform, Git Plus: Kafka experience If you're passionate about Java development, have an architect's mindset, and are ready to lead a team of talented engineers, we want to hear from you!

Role : DevOps Engineer Type : 1 Year Contract Location : Chennai, Tamil Nadu Experience : 5-10 Years Required Skills: Kubernetes AWS Jenkins Ansible CI/CD Pipeline

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Kubernetes Good to have skills : Dynatrace APM, GCP Dataflow, GitLab CI/CD Minimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Primary skill - GKE (Google Kubernetes Engine),Linux,GCP Secondary skill - GitLab,ArgoCD,Helm,DYNATRACE Key responsibilities: - Monitor and support all installed systems and infrastructure - Optimize and troubleshoot Kubernetes environments for performance and reliability. - Re-creation, analysis, troubleshooting and diagnosis of incidents. - DevOps enablement and support. - Provide technical guidance and support for GKE-related projects. - Collaborate with development and operations teams to ensure seamless deployment and scaling of applications. Technical experience: - 2+ years of experience with Kubernetes and container orchestration. - Strong expertise in Google Kubernetes Engine (GKE) and GCP - Experience with CI/CD pipelines and DevOps practices. - Hands-on experience with installing, troubleshooting Kubernetes platforms. - Experience with Helm or any other templating tools. - Experience with Gitlab and ArgoCD or similar tools. - Experience with monitoring, logging tools preferably Prometheus, Grafana, Splunk, Loki or DYNATRACE. Professional attributes: - Good in verbal, written communication and presentation; interacting with clients at varying levels. - Good team player. - Implementing best practices for container orchestration and management.

Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Docker Kubernetes Administration Good to have skills : Linux Containers Administration Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Primary skill: Docker,Linux,Containers Secondary skill: GitLab Key responsibilities: - Assessment of the Solution Architects' design from Operations point of view and implementation of it along with end users' communication. Onboarding of new services keeping all different aspects in mind. - Carrying out Day-to-day operations like execution of service requests, changes, Incidents, problems, demands. - protecting SLA and KPI and work efficiently in agile Framework Technical responsibilities: - Have good experience on Docker swarm, linux and monitoring tools like dynatrace - Basic knowledge on UNIX commands, python and shell scripting, Json, YAML, Dockerfile. - Indepth Knowledge and experience on docker swarm, docker swarm architecture and management as well as other container runtime open source and managed. - Understanding of security in docker as well as architecture design for HA in docker. - Indepth Knowledge and experience on docker env setup, services and monitoring. Professional attributes: Good in verbal, written communication and presentation; interacting with clients at varying levels. Good team player.

Our technology services client is seeking multiple Cloud Network Security Engineer to join their team on a contract basis. These positions offer a strong potential for conversion to full-time employment upon completion of the initial contract period. Below are further details about the role: Role: Cloud Network Security Engineer Experience: 7+ Years Location: Bengaluru Notice Period: Immediate- 15 Days Mandatory Skills: Cloud Security, Networking, AWS, GCP, Data center, Microservices, Terraform, Containers Job Description: The Information Security Engineer role will be responsible for the automation of delivery of network security in the public cloud initiatives globally within this will be an integral role for the network security engineering and delivery for public cloud including automation scalability Job Responsibility Engage with multiple cloud and networking stakeholders understand the requirements for complex enterprise cloud environment Provide cloud and network security expertise and guidance to the cloud programs including Infrastructure as a Service IaaS Platform as a Service PaaS and Cloud Application Architecture subprograms Collaborate with enterprise architects and SMEs to deliver complete security architecture solutions Lead Cloud network security initiatives with designs patterns and develop deliver scalable and security terraform modules Look for opportunities to automate the network security configurations and implementations Monitor and optimize the patterns and modules Minimum Qualifications 7 years of overall experience in datacentre cloud and network 5 years of handson experience in AWS and GCP cloud 3 years of experience in Containers Kubernetes and micro services 3 years of experience in Terraform 3 years of experience in advance networking in public cloud Understanding of classical or cloudnative design patterns is required Knowledge of security configuration management container security endpoint security and secrets management as they are applied to cloud applications Knowledge of network architecture proxy infrastructure and programs to support network access and enablement Experience with multiple Information Security domains such as Infrastructure Vulnerability Data Loss Prevention End User Security Network Security Internet Security Identity Access Management etc Preferred Qualifications Bachelors Degree in computer science computer engineering or related field or equivalent experience is preferred Terraform certification preferred Cloud Engineering or Security Certification preferred AWS Certified Solutions Architect professional AWS Certified Advanced Networking Speciality AWS Certified Security GCP Cloud Architect GCP Network Engineer GCP Cloud Security Engineer or similar If you are interested, share the updated resume to madhuri.p@s3staff.com

Java Software Developer Job Location: Bangalore (Whitefield) – Onsite Duration: 6 months Responsibilities: Designing and implementing software using Java. Ensuring the code quality by implementing unit, integration and end-to-end tests. Optimising application for maximum performance. Working with DevOps related activities (CI/CD, infrastructure, etc.). Working in a distributed team and cooperate with other teams on cross-team deliveries. Troubleshooting, analysing, and solving integration and production issues. Skills: 5+ years of professional Java software development experience. Strong knowledge of Java 11+. Strong system design skills and programming skills. Experience with Spring Framework 5, Spring Boot 3, REST, CI and Kanban. Familiarity with common algorithms, data structures and multithreading. Familiarity with Git/Gradle, Docker, Kubernetes, Continuous Delivery and DevOps. Experience with RDBMS (MySQL, etc.) and NoSQL (Apache Cassandra, etc.) databases. Comfortable with making technical and architectural decisions autonomously. Communicative, able to explain concepts well to both tech and non-tech. Notice Period: Immediate- 30 Days Email to : anjali.gour@aptita.com

Introduction Ready to grow your career in the Cloud? Want to have a feeling that you are making a difference? This is your chance to become an integral part of a dynamic team of talented professionals developing and deploying innovative, industry-leading, cloud-based services. IBM Cloud Core Platform Services is a growing, agile, dynamic organization building and operating leading-edge, highly-available, and distributed cloud services in IBM Cloud. We're looking for experienced cloud software engineers to join us. This technical role is focused on designing, developing and deploying cloud services, automating wide ranges of tasks, problem-solving, interfacing with other teams to solve complex problems. You will be part of a strong, agile, and modern team culture driven to create world-class cloud services, delivering an industry leading user experience for our customers. As an integral part of the development team, you will get an opportunity to contribute to the cloud services architecture and design while helping us mentor the next generation of cloud engineers. Your Role And Responsibilities Becoming an expert and major contributor for designs and implementation efforts of the IBM Cloud Platform Services ecosystem Developing highly-available, distributed cloud services, with emphasis on security, scalability and user experience using technologies like Java, Node.js, Golang, Cloudant, Redis, Docker, Kubernetes, Istio and more. Reading open specifications and RFC documents and converting them to design docs and implementation Identifying opportunities and acting on improving existing tools, frameworks and workflows Documenting and sharing your experience with team members, mentoring others Preferred Education Master's Degree Required Technical And Professional Expertise A minimum of a bachelor degree in Computer Science, Software Engineering or equivalent At least 5 years of hands-on development experience building applications with one or more of the following: Java, Node.js, Golang, NoSQL DB, Redis, distributed caches, containers etc. At least 5 years of experience building and operating highly secured, distributed cloud services with one or more of the following: IBM Cloud, AWS, Azure, Docker, container orchestration, performance testing, DevOps etc. At least 1 years of experience in web technologies: HTTP, REST, JSON, HTML, JavaScript etc. Solid understanding of the micro-service architecture and modern cloud programming practices. Strong ability to design a clean, developer-friendly API. Passionate about constant, continuous learning and applying new technologies as well as mentoring others. Keen troubleshooting skills and strong verbal/written communication skills. Preferred Technical And Professional Experience Masters degree in Computer Science, Software Engineering or equivalent Experience in remotely supporting customer engagements to help driving the adoption Experience as technical lead managing team of engineers in driving development of highly scalable distributed system

Our client is a global technology company headquartered in Santa Clara, California. it focuses on helping organisations harness the power of data to drive digital transformation, enhance operational efficiency, and achieve sustainability. over 100 years of experience in operational technology (OT) and more than 60 years in IT to unlock the power of data from your business, your people and your machines. We help enterprises store, enrich, activate and monetise their data to improve their customers’ experiences, develop new revenue streams and lower their business costs. Over 80% of the Fortune 100 trust our client for data solutions. The company’s consolidated revenues for fiscal 2024 (ended March 31, 2024). approximately $57.5 billion USD., and the company has approximately 296,000 employees worldwide. It delivers digital solutions utilising Lumada in five sectors, including Mobility, Smart Life, Industry, Energy and IT, to increase our customers’ social, environmental and economic value. Job Title: Kafka Developer Location: All Locations Experience: 10+ Job Type: Contract to hire. Notice Period: Immediate joiners. Mandatory Skills: Kafka Developer (Event Streaming), Apache Kafka, Kafka Connect, Kafka Streams Job description: Experience - 10+ Years Deep understanding of Apache Kafka and the surrounding ecosystem (schema registries, Kafka Connect, Kafka Streams, Kafka client libraries, Spark Structured Streaming) Independently resolving issues when deploying and setting up any sort of infrastructure (like cloud services) or applications (e.g., a Spring Boot application on App Service, or a Python Azure Function) Deep understanding of Kubernetes and Docker Deep understanding/knowledge of public clouds, especially focusing on Azure, with focus on services such as Azure Functions, Azure Logic Apps, Azure App Service, Azure Kubernetes Service, OpenShift (Kubernetes in general), Azure Databricks, Azure Stream Analytics, Azure Event Hubs, Azure Service Bus, Azure Event Grid, Azure Data Lake Gen2/Azure Blob Storage Deep understanding of private networking and network topologies used in enterprises (e.g., private endpoints, VNets/VPCs, Private Link, DNS, firewalls, Hub Spoke topologies, etc.) Deep understanding of software design patterns and knowledge of popular programming languages (Java, C#, JavaScript, Python) with in-depth knowledge of at least one programming language Deep understanding of Infrastructure-as-Code concepts, and in-depth knowledge of at least one popular scripting tool and language (Terraform, Helm, Bash), and CI/CD framework (GitHub Actions, Azure Pipelines, etc.) Experience with debugging software applications and setting up logging, observing, and monitoring Good understanding of developer portals such as Backstage, API Catalogs with OpenAPI and AsyncAPI specifications, templating (Jinja), API gateways (Azure API Management, IBM API Connect), WebSockets Experience in building event-driven microservices and REST API

Introduction Ready to grow your career in the Cloud? Want to have a feeling that you are making a difference? This is your chance to become an integral part of a dynamic team of talented professionals developing and deploying innovative, industry-leading, cloud-based services. IBM Cloud Core Platform Services is a growing, agile, dynamic organization building and operating leading-edge, highly-available, and distributed cloud services in IBM Cloud. We're looking for experienced cloud software engineers to join us. This technical role is focused on designing, developing and deploying cloud services, automating wide ranges of tasks, problem-solving, interfacing with other teams to solve complex problems. You will be part of a strong, agile, and modern team culture driven to create world-class cloud services, delivering an industry leading user experience for our customers. As an integral part of the development team, you will get an opportunity to contribute to the cloud services architecture and design while helping us mentor the next generation of cloud engineers. Your Role And Responsibilities Becoming an expert and major contributor for designs and implementation efforts of the IBM Cloud Platform Services ecosystem Developing highly-available, distributed cloud services, with emphasis on security, scalability and user experience using technologies like Java, Node.js, Golang, Cloudant, Redis, Docker, Kubernetes, Istio and more. Reading open specifications and RFC documents and converting them to design docs and implementation Identifying opportunities and acting on improving existing tools, frameworks and workflows Documenting and sharing your experience with team members, mentoring others Preferred Education Master's Degree Required Technical And Professional Expertise A minimum of a bachelor degree in Computer Science, Software Engineering or equivalent, with minimum of 15 years of experience in Software Development At least 5 years of hands-on development experience building applications with one or more of the following: Java, Node.js, Golang, NoSQL DB, Redis, distributed caches, containers etc. At least 5 years of experience building and operating highly secured, distributed cloud services with one or more of the following: IBM Cloud, AWS, Azure, Docker, container orchestration, performance testing, DevOps etc. At least 3 years of experience in web technologies: HTTP, REST, JSON, HTML, JavaScript etc. Solid understanding of the micro-service architecture and modern cloud programming practices. Strong ability to design a clean, developer-friendly API. Passionate about constant, continuous learning and applying new technologies as well as mentoring others. Keen troubleshooting skills and strong verbal/written communication skills. Preferred Technical And Professional Experience Prior experience in Billing or Rating software or Order Management. Masters degree in Computer Science, Software Engineering or equivalent Experience in remotely supporting customer engagements to help driving the adoption Experience as technical lead managing team of engineers in driving development of highly scalable distributed system

Apply by- https://forms.gle/LTm4HBcZHj9PPND79 Role- AVP-VAPT Location- Hyderabad, Kondapur (5 days WFO) Experience- 16+ years Role Overview As AVP/VP – Cybersecurity Operations, you will provide strategic and technical leadership for Offensive Security practice. You will lead and evolve core services such as Penetration Testing, Red Teaming, Application Security Assessments, and Threat Simulation. This role requires deep technical expertise, engagement leadership, and the ability to influence C-level clients while driving operational excellence across service delivery. You will be accountable for the scaling, maturity, and quality of offensive security services across multiple client environments, and responsible for shaping the offensive security roadmap, delivery methodologies, and team capability development. Key Responsibilities Own and lead the Offensive Security & VAPT function, including service line P&L, strategic delivery roadmap, team management, and client satisfaction. Architect and oversee enterprise-scale VAPT and red team engagements, driving delivery excellence across infrastructure, applications, APIs, mobile, and cloud environments. Engage directly with senior client stakeholders (CISOs, CTOs, Risk Leaders) to translate business risk into actionable technical assessments and recommend mitigation strategies. Define testing frameworks and reusable methodologies to standardize and elevate delivery across projects, including red teaming, threat emulation, and advanced attack simulations. Direct a high-performing offensive security team, including Red Teamers, AppSec specialists, and security testers, ensuring their continuous development and engagement. Lead strategic threat modeling and secure design reviews in collaboration with clients' architecture and engineering teams, integrating security into early lifecycle stages. Govern quality of deliverables, including technical findings, risk summaries, and executive-ready reports, ensuring alignment with business impact and remediation feasibility. Drive operational excellence across testing engagements, ensuring timelines, SLAs, and KPIs (e.g., MTTR, false positive rate, TTP coverage) are consistently met or exceeded. Spearhead R&D initiatives to evaluate emerging threats, tools, and offensive capabilities relevant to client environments and evolving attack surfaces. Collaborate with cross-functional internal teams (MXDR, GRC, Incident Response, Product) to align offensive security outputs with broader risk and advisory services. Required Qualifications Bachelor's degree in Engineering, Computer Science, or a related field; a Master’s is preferred. 12–18 years of experience in cybersecurity with at least 5 years in leadership roles across VAPT, Red Team, or Application Security domains. Demonstrated experience managing technical delivery and strategic outcomes for multiple clients or large-scale programs. Preferred Certifications Mandatory: OSCP, CEH Highly Desirable: OSCE, OSWE, GPEN, GWAPT, GCIH, GXPN, CISSP Desired Skills In-depth understanding of modern attack vectors, OWASP Top 10, MITRE ATT&CK, and real-world exploitation techniques. Strong command of tools such as Burp Suite Pro, Cobalt Strike, Metasploit, Nmap, Kali Linux, AppDetective, and WebInspect. Proficiency in cloud security testing across AWS, Azure, or GCP; experience with containerized and microservices-based environments. Hands-on exposure to reviewing or attacking applications built using C++, Java, Python, Go, JavaScript, and working within Kubernetes or CI/CD pipelines. Capability to present complex technical findings in clear, business-relevant language to executive stakeholders. Apply by- https://forms.gle/LTm4HBcZHj9PPND79

Job Title: Site Reliability Engineer Location: Hyderabad Experience: 5+ years Employment Type: Full-Time About the Role We are building scalable, reliable, and high-performance cloud-native applications on Microsoft Azure . We are looking for a Site Reliability Engineer (SRE) with expertise in OpenTelemetry (OTEL) and Azure to drive observability, reliability, and operational excellence across our infrastructure. As an SRE, you will: Design, implement, and maintain our observability stack using OpenTelemetry standards. Ensure the availability, performance, and scalability of production systems. Collaborate with development teams to embed reliability practices, automate operational tasks, and respond to incidents quickly and effectively. Key Responsibilities 1. Observability & OpenTelemetry (OTEL) Build and manage an observability platform with OpenTelemetry for distributed tracing, metrics, and logs. Instrument applications (Java, Python, Node.js) for end-to-end telemetry. Configure OTEL Collectors to export telemetry to Prometheus, Grafana, Jaeger, Loki, Tempo, Azure Monitor, and Application Insights . Develop custom instrumentation and semantic conventions. Establish robust alerting and anomaly detection using Azure Monitor, Prometheus Alertmanager, etc. Create dashboards (Grafana, Azure Dashboards) for real-time insights. Continuously enhance observability by adopting best practices and new OTEL features . 2. Azure SRE Responsibilities Reliability & Performance: Monitor systems, identify bottlenecks, and implement scaling and optimization strategies. Incident Response: Participate in on-call rotations, lead incident resolution, conduct RCA, and maintain runbooks/playbooks. Automation & IaC: Automate infrastructure and operational tasks using Azure DevOps, Terraform, Azure Bicep, PowerShell, or Bash . CI/CD Integration: Embed reliability and observability checks into CI/CD pipelines. Capacity Planning: Analyze usage patterns, plan for scalability, and optimize Azure resource costs . Security & Compliance: Apply security best practices and ensure compliance. Collaboration: Mentor development teams on SRE and observability practices . Required Skills & Experience 5+ years in SRE, DevOps, or a related infrastructure role. Strong expertise with OpenTelemetry (instrumentation, collection, processing). Hands-on with Azure cloud services (Monitor, Log Analytics, Application Insights). Proficient with Infrastructure as Code (Terraform, Azure Bicep, ARM) . Skilled in scripting/automation (Python, PowerShell, Bash). Experience with Docker and Kubernetes/AKS . Familiarity with observability backends: Grafana, Loki, Tempo, Prometheus, Jaeger . Deep understanding of distributed systems and microservices . Excellent problem-solving, analytical, and communication skills . Preferred Qualifications Azure certifications (AZ-104, AZ-400). Experience with chaos engineering . Knowledge of SLOs, SLIs, and error budgets . Familiarity with database monitoring (PostgreSQL, Azure SQL). Experience in high-availability or regulated environments . Education Bachelor’s degree in Computer Science, IT , or a related technical field (or equivalent practical experience).

Position Summary As an AI/ML Engineer, you will be at the forefront of designing, developing, and deploying AI and ML solutions that drive business value and innovation. You will work on cutting-edge machine learning models, including Generative AI, Large Language Models, and Deep learning architectures. Your role will involve optimizing, fine tuning, and scaling these models while ensuring they meet business and performance objectives. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product teams to integrate AI powered solutions into products and services. Essential functions of the job include but are not limited to: Develop, optimize, and deploy machine learning and deep learning models, including LLMs and Generative AI models. Design and implement scalable, production-ready AI solutions that integrate into existing systems. Fine-tune and evaluate models on large-scale datasets to improve accuracy, efficiency, and robustness. Collaborate with software engineers, data scientists, and product teams to align AI models with business needs. Work with healthcare and claims data to build high-performance AI systems. Develop and maintain MLOps pipelines for training, deploying, and monitoring AI models. Troubleshoot and resolve AI/ML engineering challenges, ensuring models perform effectively in production. Stay up-to-date with advancements in Generative AI, LLMs, and deep learning to continuously improve AI solutions. Document AI/ML workflows, methodologies, and best practices for internal knowledge sharing. Minimum Required Bachelors or Masters in a quantitative field such as Computer Science or Data Science or related disciplines. Minimum of 3+ years’ experience in data science/ML role, with a track record of delivering impactful solutions in a production environment. Proficiency in programming languages like Python, R, and SQL, with experience in building scalable and efficient ML/NLP workflows. Deep understanding and hands on experience in Machine Learning, Deep Learning, and Natural Language Processing. Experience in working with state-of-the-art Generative AI models, including model finetuning and evaluation techniques. Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Cloud computing and deployment knowledge for deploying and managing AI applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure. This includes understanding containerization technologies like Docker and orchestration tools like Kubernetes, which are important for scaling AI solutions. Skills Problem solving for thinking outside the box to design and implement novel AI solutions when faced with unprecedented challenges. Collaboration and communication for articulating technical details and project needs to technical and non-technical team members, including data scientists, software developers, and business stakeholders, and ability to influence leaders across functions and companies Continuous learning for keeping up the latest research, tools, and techniques in the rapidly evolving generative AI landscape. Patience and persistence for staying motivated, even when facing setbacks. Excellent interpersonal and communication skills, with strong written and verbal presentation Proven ability to take ownership and lead multiple engagements with minimal oversight Ability to synthesize complex concepts into understandable and actionable solutions Competencies Demonstrated expertise in Precision Products and Services with ability to recommend existing solutions and/or propose new products and services based on client need Ability to drive executive level conversation regarding business value Demonstrated cross-functional sales and business development success Passionate and confident communicator with ability to energize stakeholder decision-making Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Position Summary As an AI/ML Engineer, you will be at the forefront of designing, developing, and deploying AI and ML solutions that drive business value and innovation. You will work on cutting-edge machine learning models, including Generative AI, Large Language Models, and Deep learning architectures. Your role will involve optimizing, fine tuning, and scaling these models while ensuring they meet business and performance objectives. You will collaborate closely with cross-functional teams, including data scientists, engineers, and product teams to integrate AI powered solutions into products and services. Essential functions of the job include but are not limited to: Develop, optimize, and deploy machine learning and deep learning models, including LLMs and Generative AI models. Design and implement scalable, production-ready AI solutions that integrate into existing systems. Fine-tune and evaluate models on large-scale datasets to improve accuracy, efficiency, and robustness. Collaborate with software engineers, data scientists, and product teams to align AI models with business needs. Work with healthcare and claims data to build high-performance AI systems. Develop and maintain MLOps pipelines for training, deploying, and monitoring AI models. Troubleshoot and resolve AI/ML engineering challenges, ensuring models perform effectively in production. Stay up-to-date with advancements in Generative AI, LLMs, and deep learning to continuously improve AI solutions. Document AI/ML workflows, methodologies, and best practices for internal knowledge sharing. Minimum Required Bachelors or Masters in a quantitative field such as Computer Science or Data Science or related disciplines. Minimum of 3+ years’ experience in data science/ML role, with a track record of delivering impactful solutions in a production environment. Proficiency in programming languages like Python, R, and SQL, with experience in building scalable and efficient ML/NLP workflows. Deep understanding and hands on experience in Machine Learning, Deep Learning, and Natural Language Processing. Experience in working with state-of-the-art Generative AI models, including model finetuning and evaluation techniques. Data management knowledge, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Cloud computing and deployment knowledge for deploying and managing AI applications on cloud platforms like AWS, Google Cloud, or Microsoft Azure. This includes understanding containerization technologies like Docker and orchestration tools like Kubernetes, which are important for scaling AI solutions. Skills Problem solving for thinking outside the box to design and implement novel AI solutions when faced with unprecedented challenges. Collaboration and communication for articulating technical details and project needs to technical and non-technical team members, including data scientists, software developers, and business stakeholders, and ability to influence leaders across functions and companies Continuous learning for keeping up the latest research, tools, and techniques in the rapidly evolving generative AI landscape. Patience and persistence for staying motivated, even when facing setbacks. Excellent interpersonal and communication skills, with strong written and verbal presentation Proven ability to take ownership and lead multiple engagements with minimal oversight Ability to synthesize complex concepts into understandable and actionable solutions Competencies Demonstrated expertise in Precision Products and Services with ability to recommend existing solutions and/or propose new products and services based on client need Ability to drive executive level conversation regarding business value Demonstrated cross-functional sales and business development success Passionate and confident communicator with ability to energize stakeholder decision-making Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Work Level : Individual Core : Communication Skills, Team Player, Result Driven Leadership : Building Work Relationships, Team Alignment Industry Type : IT Services Function : Full Stack Developer Key Skills : Java,Spring Boot,Angular,Kafka Education : Graduate Note: This is a requirement for one of the Workassist Hiring Partner. Primary Responsibility: • Design, develop, and maintain Java Spring Boot microservices that are scalable, resilient, and performant • Integrate services with PostgreSQL and MongoDB for structured and unstructured data storage • Develop and maintain Kafka-based event-driven systems for asynchronous processing and data pipelines • Build responsive and dynamic Angular components for user interfaces using HTML, CSS, and TypeScript • Collaborate with DevOps teams for containerization and deployment (Docker/Kubernetes experience is a plus) • Participate in code reviews, design discussions, and technical decision-making • Write unit tests, integration tests, and participate in CI/CD processes • Mentor junior team members and contribute to continuous improvement of engineering practices Company Description Workassist is an online recruitment and employment solution platform based in Lucknow, India. We provide relevant profiles to employers and connect job seekers with the best opportunities across various industries. With a network of over 10,000+ recruiters, we help employers recruit talented individuals from sectors such as Banking & Finance, Consulting, Sales & Marketing, HR, IT, Operations, and Legal. We have adapted to the new normal and strive to provide a seamless job search experience for job seekers worldwide. Our goal is to enhance the job seeking experience by leveraging technology and matching job seekers with the right employers. For a seamless job search experience, visit our website: https://bit.ly/3QBfBU2 (Note: There are many more opportunities apart from this on the portal. Depending on the skills, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title: DevOps Engineer Location: Gurugram (On-Site) Employment Type: Full-Time Experience: 6 + years Qualification: B.Tech CSE About the Role We are seeking a highly skilled DevOps/MLOps Expert to join our rapidly growing AI-based startup building and deploying cutting-edge enterprise AI/ML solutions. This is a critical role that will shape our infrastructure, deployment pipelines, and scale our ML operations to serve large-scale enterprise clients. As our DevOps/MLOps Expert, you will be responsible for bridging the gap between our AI/ML development teams and production systems, ensuring seamless deployment, monitoring, and scaling of our ML-powered enterprise applications. You’ll work at the intersection of DevOps, Machine Learning, and Data Engineering in a fast-paced startup environment with enterprise-grade requirements. Key Responsibilities MLOps & Model Deployment • Design, implement, and maintain end-to-end ML pipelines from model development to production deployment • Build automated CI/CD pipelines specifically for ML models using tools like MLflow, Kubeflow, and custom solutions • Implement model versioning, experiment tracking, and model registry systems • Monitor model performance, detect drift, and implement automated retraining pipelines • Manage feature stores and data pipelines for real-time and batch inference • Build scalable ML infrastructure for high-volume data processing and analytics Enterprise Cloud Infrastructure & DevOps • Architect and manage cloud-native infrastructure with focus on scalability, security, and compliance • Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi • Design and maintain Kubernetes clusters for containerized ML workloads • Build and optimize Docker containers for ML applications and microservices • Implement comprehensive monitoring, logging, and alerting systems • Manage secrets, security, and enterprise compliance requirements Data Engineering & Real-time Processing • Build and maintain large-scale data pipelines using Apache Airflow, Prefect, or similar tools • Implement real-time data processing and streaming architectures • Design data storage solutions for structured and unstructured data at scale • Implement data validation, quality checks, and lineage tracking • Manage data security, privacy, and enterprise compliance requirements • Optimize data processing for performance and cost efficiency Enterprise Platform Operations • Ensure high availability (99.9%+) and performance of enterprise-grade platforms • Implement auto-scaling solutions for variable ML workloads • Manage multi-tenant architecture and data isolation • Optimize resource utilization and cost management across environments • Implement disaster recovery and backup strategies • Build 24x7 monitoring and alerting systems for mission-critical applications Required Qualifications Experience & Education • 4-8 years of experience in DevOps/MLOps with at least 2+ years focused on enterprise ML systems • Bachelor’s/Master’s degree in Computer Science, Engineering, or related technical field • Proven experience with enterprise-grade platforms or large-scale SaaS applications • Experience with high-compliance environments and enterprise security requirements • Strong background in data-intensive applications and real-time processing systems Technical Skills Core MLOps Technologies • ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost • MLOps Tools: MLflow, Kubeflow, Metaflow, DVC, Weights & Biases • Model Serving: TensorFlow Serving, PyTorch TorchServe, Seldon Core, KFServing • Experiment Tracking: MLflow, Neptune.ai, Weights & Biases, Comet DevOps & Cloud Technologies • Cloud Platforms: AWS, Azure, or GCP with relevant certifications • Containerization: Docker, Kubernetes (CKA/CKAD preferred) • CI/CD: Jenkins, GitLab CI, GitHub Actions, CircleCI • IaC: Terraform, CloudFormation, Pulumi, Ansible • Monitoring: Prometheus, Grafana, ELK Stack, Datadog, New Relic Programming & Scripting • Python (advanced) - primary language for ML operations and automation • Bash/Shell scripting for automation and system administration • YAML/JSON for configuration management and APIs • SQL for data operations and analytics • Basic understanding of Go or Java (advantage) Data Technologies • Data Pipeline Tools: Apache Airflow, Prefect, Dagster, Apache NiFi • Streaming & Real-time: Apache Kafka, Apache Spark, Apache Flink, Redis • Databases: PostgreSQL, MongoDB, Elasticsearch, ClickHouse • Data Warehousing: Snowflake, BigQuery, Redshift, Databricks • Data Versioning: DVC, LakeFS, Pachyderm Preferred Qualifications Advanced Technical Skills • Enterprise Security: Experience with enterprise security frameworks, compliance (SOC2, ISO27001) • High-scale Processing: Experience with petabyte-scale data processing and real-time analytics • Performance Optimization: Advanced system optimization, distributed computing, caching strategies • API Development: REST/GraphQL APIs, microservices architecture, API gateways Enterprise & Domain Experience • Previous experience with enterprise clients or B2B SaaS platforms • Experience with compliance-heavy industries (finance, healthcare, government) • Understanding of data privacy regulations (GDPR, SOX, HIPAA) • Experience with multi-tenant enterprise architectures Leadership & Collaboration • Experience mentoring junior engineers and technical team leadership • Strong collaboration with data science teams, product managers, and enterprise clients • Experience with agile methodologies and enterprise project management • Understanding of business metrics, SLAs, and enterprise ROI Growth Opportunities • Career Path: Clear progression to Lead DevOps Engineer or Head of Infrastructure • Technical Growth: Work with cutting-edge enterprise AI/ML technologies • Leadership: Opportunity to build and lead the DevOps/Infrastructure team • Industry Exposure: Work with Government & MNCs enterprise clients and cutting-edge technology stacks Success Metrics & KPIs Technical KPIs • System Uptime: Maintain 99.9%+ availability for enterprise clients • Deployment Frequency: Enable daily deployments with zero downtime • Performance: Ensure optimal response times and system performance • Cost Optimization: Achieve 20-30% annual infrastructure cost reduction • Security: Zero security incidents and full compliance adherence Business Impact • Time to Market: Reduce deployment cycles and improve development velocity • Client Satisfaction: Maintain 95%+ enterprise client satisfaction scores • Team Productivity: Improve engineering team efficiency by 40%+ • Scalability: Support rapid client base growth without infrastructure constraints Why Join Us Be part of a forward-thinking, innovation-driven company with a strong engineering culture. Influence high-impact architectural decisions that shape mission-critical systems. Work with cutting-edge technologies and a passionate team of professionals. Competitive compensation, flexible working environment, and continuous learning opportunities. How to Apply Please submit your resume and a cover letter outlining your relevant experience and how you can contribute to Aaizel Tech Labs’ success. Send your application to hr@aaizeltech.com , bhavik@aaizeltech.com or anju@aaizeltech.com.

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Senior Consultant Specialist In this role, you will: Based in Pune, India, the successful candidate with be responsible for: Minimum 4 years of experience in Development Driving full stack end to end solutions based on daily conversations with the product owner. Working with other team members and liaising with nominated business stakeholders when required to ensure that business requirements are fully understood before commencing design and development. Designing, developing and implementing solutions built to meet business needs, according to established standards and best practices. Maintaining operational stability, integrity and availability of products and services. Using monitoring tools to manage applications and respond to technical alerts raised. Supporting the PIR (Post Incident Review) & tracking actions till its closure. Proactive approach to resolving any issues. Involving in new enhancements and development as team work with the team (cross functional team for Agile delivery) structure. Requirements To be successful in this role, you should meet the following requirements: Core Java (Java 1.8 +) Spring (version 4 +) Spring boot, Microservices Spark / Apache Beam or any of the big data processing frameworks Docker / Kubernetes / GCP / Dataflow React JS / Angular Strong design patterns knowledge Scripting (bash, python, groovy) Knowledge of Grafana Experience with Atlassian tools, including Jira, Confluence Experience with SCM tools such as Git, Bitbucket Experience with automation frameworks and build tools such as Jenkins, Ansible, Docker, Maven. Experience with monitoring and alerting tools such as Grafana, InfluxDB, Geneo You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSBC Software Development Indi

Required Skills & Qualifications: 6+ years of experience in frontend development, with React.js and Next.js expertise. Strong backend knowledge in Node.js , with experience in API integrations and full-stack collaboration. Experience with Kubernetes for container orchestration and CI/CD pipelines for automated deployments. Proficiency in TypeScript, JavaScript, and modern frontend architectures . Solid understanding of state management (Redux, Context API, etc.) and component-based UI development. Familiarity with GraphQL, REST APIs, and authentication mechanisms . Experience with performance tuning, lazy loading, and accessibility compliance . Excellent problem-solving skills and the ability to work in an Agile environment. Strong leadership, communication, and team collaboration skills. Key Responsibilities: Frontend Architecture & Development: Design, develop, and optimize scalable React.js/Next.js applications for a seamless user experience. Full-Stack Collaboration: Work closely with backend teams utilizing Node.js to ensure smooth API integrations and performance. Kubernetes & CI/CD Management: Implement and manage Kubernetes-based deployments and optimize CI/CD pipelines for rapid, reliable releases. Performance Optimization: Ensure high-performance, responsive, and accessible UIs , following best practices in web development. Code Quality & Best Practices: Enforce clean coding standards , maintainability, and adherence to modern development frameworks. Technical Leadership & Mentorship: Guide and mentor frontend developers, ensuring team growth and skill enhancement. Cross-Functional Collaboration: Work with designers, product managers, and DevOps engineers to align frontend development with business objectives. Security & Compliance: Implement security best practices to protect user data and ensure compliance with industry standards. Technology Evaluation & Innovation: Stay updated with emerging frontend technologies and continuously improve platform capabilities. Job Types: Full-time, Permanent Ability to commute/relocate: Palayam, Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Current Monthly salary? Expected Monthly salary? How Early you can join? Education: Bachelor's (Preferred) Experience: React.js: 6 years (Preferred) Next.js: 4 years (Preferred) Rest Api: 5 years (Preferred) Redux: 5 years (Preferred) Language: Malayalam (Preferred) Location: Palayam, Thiruvananthapuram, Kerala (Preferred) Work Location: In person