18 Orchestration Technologies Jobs

The role of a Site Reliability/Data Observability Engineer in the Data & Analytics organization involves developing and supporting frameworks and mechanisms to monitor data, data pipelines, usage, user operations, data infrastructure, and compute statistics. This proactive approach aims to ensure data accuracy, reliability, system scalability, health, and performance of Analytics platforms on GCP/AWS. Collaborating closely with the Cloud/Data Engineering team, the role emphasizes designing and implementing robust, scalable solutions. Working at Tyson Foods as a Site Reliability Engineer offers the opportunity to engage with cutting-edge technologies and collaborate with skilled professionals in a dynamic environment. The organization values innovation, growth, work-life balance, and provides avenues for career advancement and professional development. Responsibilities include collaborating with cross-functional teams to address data and data pipeline issues, optimize system performance, capacity, and cost-efficiency. Implementing and managing monitoring, logging, and observability solutions is crucial to ensure proactive identification and resolution of data and platform issues. Developing strategies for data collection, metric definition, anomaly detection, alerting, data pipeline monitoring, data quality assessment, and visualization creation is essential. Automation scripts and open-source/market tools are utilized to implement Data Observability frameworks, streamline operational processes, and enhance efficiency. Continuous collaboration and improvement initiatives are undertaken to boost the reliability, scalability, and performance of the data platform. This role demands strong technical expertise, problem-solving skills, and effective communication abilities. Qualifications for this position include a minimum of 3+ years of experience in Site Reliability Engineering or a similar role, with a focus on data observability, cloud infrastructure, and operations. Proficiency in data observability tools and observability tools, expertise in cloud platforms like GCP, AWS, or Azure, knowledge of data analytics, data processing, visualization tools, data quality, CI/CD pipelines, and DevOps practices are required. Strong scripting and programming skills, excellent communication abilities, analytical and troubleshooting skills, and a degree in computer science, engineering, or a related field are necessary. Additional qualifications such as a master's degree in a relevant field, experience in containerization and orchestration technologies, proficiency in infrastructure as code tools, knowledge of security best practices, compliance requirements in cloud environments, certifications in cloud platforms, familiarity with ITIL or other service management frameworks are considered advantageous for the role.,

The Cisco Distributed Systems Engineering (DSE) Network Automation team is a global leader in providing network automation solutions for the service provider Edge, Core, and Optical markets. The DSE Automation organization in India is focused on developing On-Prem Controller Automation solutions for Ciscos next-generation network management infrastructure. Utilizing big data platforms and advanced analytics, our team transforms network data into actionable network intelligence to enable automation and KPI monitoring for large-scale service provider deployments, including 5G rollouts. As a Backend Software Engineer on the Service Provider Network Automation Infrastructure team, you will be instrumental in architecting and developing highly scalable, performant, and extensible network automation solutions. Collaborating with Ciscos engineering, product management, and design teams, you will drive backend feature development from concept to deployment, enabling near real-time traffic engineering, automated fault detection and remediation, and supporting Ciscos mission of delivering cutting-edge network automation capabilities to customers. Key Responsibilities: - Design, develop, and enhance backend services for Ciscos network automation infrastructure, ensuring scalability, reliability, and performance. - Define and implement REST APIs, microservices, and database persistence (SQL/NoSQL) for enterprise and service provider production systems. - Collaborate cross-functionally with engineering, product management, UI/UX, and QA teams to deliver robust and innovative solutions. - Lead and participate in code reviews, static analysis, and continuous integration/deployment processes. - Contribute to architectural and design discussions, focusing on quality, maintainability, and extensibility. - Stay updated on emerging technologies and methodologies in network automation, distributed systems, and DevOps. Minimum Qualifications: - Bachelors degree in Computer Science or related STEM field with 8+ years of relevant experience, or Masters degree with 5+ years of experience. - Proven experience in backend software development, preferably using microservices or distributed systems on Linux/UNIX environments. - Expert-level proficiency in at least one of the following programming languages: Go, Java, or C++. - Hands-on experience developing and deploying REST APIs and microservices, including database design using SQL and/or NoSQL technologies. - Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes). Preferred Qualifications: - Masters degree in Computer Science or a related field. - Strong understanding of networking concepts, Kubernetes, microservices architecture, and performance optimization of distributed systems. - Experience with big data platforms, telemetry, and automation systems in large-scale environments. - Demonstrated ability to innovate, think creatively, and challenge the status quo. - Familiarity with object-oriented design, design patterns, data structures, and algorithms. Cisco values diversity and inclusivity, where individuals bring unique skills and perspectives to pursue the purpose of powering an inclusive future for all. The company encourages learning and development at all stages, offering opportunities for growth and career advancement. Cisconians have the chance to engage in various employee resource organizations to foster belonging, learn, and make a difference in their communities. Cisco is committed to creating a more inclusive future for all through technology and innovation, ensuring that every step taken is towards a brighter future. Join us and be a part of shaping the technology that powers the internet and drives positive change in the world.,

As an Application Modernization Engineer at Google Cloud, you will have the opportunity to work with customers to assess existing enterprise applications in preparation for a cloud migration or modernization process. Your role will involve providing application design expertise, evaluating and categorizing applications and application platforms, and suggesting rewrite strategies to facilitate deployment to cloud-native products like Google Kubernetes Engine. Additionally, you will collaborate with customers on the redesign and implementation of legacy applications, focusing on aspects such as application scaling, reliability, and ongoing operations including monitoring, feature rollouts, and more. By closely collaborating with Product Management and Product Engineering teams, you will contribute to enhancing the quality and performance of Google Cloud products. The Google Cloud Consulting Professional Services team is dedicated to guiding customers through crucial stages of their cloud journey, enabling businesses to thrive by leveraging Google's global network, web-scale data centers, and robust software infrastructure. In this dynamic and rapidly expanding business environment, you will play a key role in shaping the future of businesses of all sizes, using technology to engage with customers, employees, and partners. Minimum qualifications for this role include a Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience in software engineering. You should have at least 3 years of experience in application or solution architecture, along with 3 years of hands-on experience in developing applications using programming languages such as Java, Python, Go, or similar. Moreover, the ideal candidate should possess experience in managing internal or client-facing projects to completion, troubleshooting technical issues faced by clients, collaborating with cross-functional teams, and designing, developing, and maintaining internet-facing production-grade applications. Preferred qualifications for the Application Modernization Engineer position include expertise in designing cloud-native enterprise applications, familiarity with unit or automated testing tools like Junit, and knowledge of networking technologies (e.g., Load Balancers, Firewalls) and web standards such as REST APIs and web security mechanisms. Experience with DevOps practices, deployment and orchestration technologies like Puppet, Chef, Docker, Kubernetes, and understanding of open source server software (e.g., NGINX, RabbitMQ, Redis, Elasticsearch) are also highly valued. In this role, you will serve as a trusted technical advisor to customers, participating in designing and building applications, recommending approaches and effort estimates for application migration and modernization initiatives, and coaching a distributed team of engineers. You will be responsible for maintaining high development standards, managing project priorities and deadlines, working closely with customers on technical architectures and migration strategies, and offering best practice recommendations through tutorials, blog articles, sample code, and technical presentations tailored to various business and technical stakeholders" levels.,

You are an experienced professional sought by the Security Operations Centre for the SOC Lead position in Pune (Baner). You should possess expertise in SIEM setup, operational knowledge, and cloud environments. The ideal candidate is highly motivated, inquisitive, and adept at problem-solving. A must-have is knowledge of Incident response and SOAR methodologies. Your primary responsibilities include security event monitoring, management, and response. You must have experience with Open Source SIEM Tools, implementation, and at least one Security Information and Event Management (SIEM) solution. Generating reports, dashboards, and metrics for SOC operations, along with presenting to Senior Management, is part of the role. It is essential to have a deep understanding of security threats, attack methods, and the current threat landscape. Proficiency in identifying common attacks and their SIEM signatures is required. Hands-on experience in security monitoring, Incident Response (IR), security tools configuration, and remediation is crucial. Excellent troubleshooting and analytical skills are a must, along with the ability to propose security solutions in business terms. You should be capable of multitasking in a fast-paced environment and have knowledge of containers, orchestration technologies, log parsing, network protocols, and AWS Services for security detection and mitigation. Understanding Operating Systems, Web Servers, databases, and Security devices (firewall/NIDS/NIPS) logs and formats is necessary. With an experience range of 3 - 7 years in IT Infrastructure and Security, you must have prior experience in Cybersecurity & SOC/SIEM, preferably in the Banking and Financial domain. Expertise in Endpoint Security, Network Security, SIEM, SOC Advanced security tools, SOAR platform, Vulnerability Management, SIEM, and building Threat Modeling practice is expected. Strong communication skills are essential for this role. The role offers an opportunity to work with a modern cloud-native security stack, learn and develop in an innovative FinTech environment, receive mentorship and training on advanced threat detection and response practices, be part of a team culture focused on collaboration and technical excellence, and receive a competitive salary and shift allowances.,

On a typical day, you will design and manage scalable cloud-based data infrastructure while building high-performance ETL pipelines and data warehouses to support analytics. You ll collaborate with multi-functional teams to integrate diverse data sources and automate workflows for real-time processing. Additionally, you will monitor and optimize data pipelines for performance and cost efficiency, mentor junior engineers, and ensure compliance with data security and governance regulations. Staying updated on the latest cloud technologies will also be a key part of your role. How You ll Make an Impact Design, implement, and manage scalable, secure cloud-based data infrastructure on platforms like AWS, GCP, and Azure. Build and maintain high-performance ETL pipelines, data lakes, and warehouses for analytics and reporting. Architect and optimize cloud storage solutions using Azure Blob Storage, Amazon S3, Google Cloud Storage, and data warehouses like Redshift, BigQuery, or Snowflake. Integrate diverse data sources to build unified, high-quality data platforms. Collaborate with architects, data scientists, and business teams to craft data models and analytical solutions in the cloud. Automate data workflows for real-time and batch processing using tools like Azure Data Factory, AWS Lambda, or Google Cloud Dataflow. Manage and optimize Azure SQL Database, Cosmos DB, and other databases for high availability and performance. Supervise and optimize data pipelines for efficiency and cost management. Implement data security and governance practices in compliance with regulations (GDPR, HIPAA) using Azure security features. Mentor junior data engineers on Azure services, data pipeline development, and coding techniques. Implement supervising solutions to ensure data pipeline reliability and maintain clear user documentation. Ensure high availability and disaster recovery for critical data services. Conduct performance tuning and troubleshooting of cloud-based data systems. Stay updated on cloud technologies and data engineering trends to enhance existing systems. What You Bring For our Onshore Execution Digital Product Development team, we are looking for a Senior Cloud Data Engineer with more than 10 years of experience. In this role, you will be responsible for designing, building, and maintaining scalable, high-performance data systems and pipelines in the cloud. You will leverage cloud technologies to build data infrastructure and solutions that support analytics, business intelligence, and machine learning at scale. You ll work closely with cross-functional teams to help transform data into actionable insights while ensuring optimal performance, security, and scalability. Bachelor s or master s degree in computer science, engineering, or a related field (or equivalent experience with 7+ years of data engineering experience, with at least 3 years in cloud environments (preferably Azure). Expertise in designing and optimizing cloud data systems and pipelines. Strong proficiency in programming languages like C#, Python, Scala, or SQL. Deep experience with cloud data warehousing platforms (Snowflake, Amazon Redshift, Google BigQuery). Hands-on experience with cloud storage solutions (Azure Blob Storage, Amazon S3, Google Cloud Storage). Solid understanding of cloud computing concepts and infrastructure as code (Terraform, Cloud Formation). Expertise in data modeling, architecture, and pipeline automation and Familiarity with data governance, security, and compliance in cloud environments. Proven experience with containerization and orchestration technologies (Docker, Kubernetes) and Solid understanding of supervising and troubleshooting tools. Ability to collaborate with multi-functional teams and communicate technical solutions to non-technical partners. Preferred to have certifications in cloud platforms (AWS Certified Solutions Architect, Google Professional Data Engineer, Azure Data Engineer). Experience with real-time data streaming platforms (Apache Kafka, Amazon Kinesis). Knowledge of CI/CD pipelines and DevOps practices in data engineering workflows

As a Senior Site Reliability Engineer (SRE) at Adobe Advertising, you will play a crucial role in ensuring the reliability, scalability, and high performance of our advertising platform by designing, building, and maintaining scalable infrastructure and services. You will collaborate with engineering teams to incorporate reliability and scalability into new products and features. Your responsibilities will include creating resilient architectures, developing automation frameworks for continuous integration/deployment, and building tools for monitoring system performance and capacity. In addition, you will lead incident management processes, perform performance optimization and capacity planning, and collaborate with various stakeholders to understand business requirements. Your expertise in managing large-scale distributed systems, cloud environments, programming, scripting, containerization, monitoring tools, CI/CD pipelines, and infrastructure as code will be essential in this role. Furthermore, you will mentor junior engineers, document best practices, and promote knowledge sharing within the team. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science or a related field, along with at least 7 years of experience in site reliability engineering or infrastructure engineering. Proficiency in cloud environments like AWS, Azure, or GCP, as well as strong programming skills in Python, Go, and Bash, will be required. Knowledge of containerization technologies, monitoring tools, incident management practices, CI/CD pipelines, and networking/storage/database systems is essential. Preferred qualifications include experience with advertising platforms, big data systems, cloud certifications, and security best practices. Joining the Adobe Advertising team offers you the opportunity to work on innovative projects that shape the future of digital marketing. If you are passionate about ensuring the reliability and scalability of mission-critical systems, and thrive in a collaborative environment focused on continuous improvement, we encourage you to apply and become part of a team dedicated to driving innovation in digital marketing at Adobe. Adobe is an equal opportunity employer that values diversity and is committed to creating an inclusive work environment for all employees, celebrating creativity, curiosity, and continuous learning as key aspects of career growth. If you are looking to make an impact in a globally recognized work environment where ongoing feedback and career development are prioritized, Adobe is the place for you. Apply now to be a part of a team that empowers brands with data-driven marketing strategies and ensures the scalability and reliability of Adobe's advertising platform to meet the needs of global customers.,

As a Machine Learning Engineer (MLE) at Capco in Pune, with over 8 years of experience, you will be working in an inclusive environment that values diversity and individuality. Capco is a global technology and business consultancy specializing in the financial services sector, dedicated to helping clients succeed in an ever-evolving industry. Your key responsibilities will include having a strong understanding of LLM architectures, fine-tuning pre-trained models on domain-specific data, and working with concepts such as RAG, Prompt Engineering, and Vector DBs. You should also possess expertise in containerization and orchestration technologies like Kubernetes and Docker, along with in-depth knowledge of machine learning, deep learning, and NLP. Additionally, you will be managing prioritization and technology work for building NLP, ML & AI solutions, experimenting with LLM, and ensuring best practices for ML models integration and deployment. To excel in this role, you should have at least 8-10 years of experience in deploying end-to-end data science solutions, a strong technical background from a top-tier institute, and proficiency in training and fine-tuning LLMs using frameworks like TensorFlow, PyTorch, or Hugging Face Transformer. Skills in Python, SQL, Pandas, Pyspark, GitHub, Confluence, JIRA, and cloud platforms like Azure or GCP are essential. Moreover, experience in stakeholder management, communication, and presentation skills are required to effectively present technical solutions and features in business terms. At Capco, you will have the opportunity to work on projects that will revolutionize the financial services industry, along with a work culture focused on innovation, ongoing learning opportunities, a flat non-hierarchical structure, and competitive family-friendly benefits. If you are excited about advancing your career with Capco, we encourage you to apply and join us in creating lasting value for clients and employees. For more information about Capco and its people, please visit www.capco.com.,

Organization : - At CommBank, we never lose sight of the role we play in other peoples financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: - Senior Platform Engineer Location: - Bangalore Business & Team: - The role of Senior Platform Engineers is to Design, Build, Run & Evolve tools, infrastructure, templates and capabilities that our other engineers use to deliver business value, and to write code that automates running our infrastructure and environments. The Cybersecurity Engineering group safeguards the organization by delivering secure, scalable, and high-performing systems that protect critical infrastructure and sensitive data. Our mission is to support cybersecurity objectives through innovative engineering solutions and secure operational practices. This exciting opportunity is for someone that can bring strong full cycle platform engineering expertise with a focus on learning and developing new skills across cyber security and security engineering. Impact & contribution: - . As a Senior Platform Engineer in our Automation and Optimisation Centre of Excellence (COE) , part of the broader Cyber Engineering function, you will report directly to the COE Lead and play a key role in enhancing the scalability, reliability, and security of our identity and automation platforms. You will contribute to the delivery of complex automation and security initiatives across the organisations systems and infrastructure, supporting our mission to protect platforms, data, and digital assets across both cloud and on-premises environments. Working in a DevSecOps environment , your focus will be on automation, Infrastructure as Code (IaC), observability, and embedded security practices. Youll collaborate with cross-functional teams to integrate automation and optimisation into every stage of the engineering lifecycle, driving innovation, operational efficiency, and platform resilience. Roles & Responsibilities: - Are familiar with the full cycle model, where engineers are involved in design, build, challenge and run. Have a passion for designing, developing, deploying and running high-quality software and platforms. Write software and tooling that automates the operations of our platforms, infrastructure, environments, and tooling. Maintain the underlying infrastructure to ensure the that it is reliable, secure and scalable. Automate observability logs and metrices, including dashboard, monitoring and alerting. Are familiar with incident management, post incident reviews, problem management. Essential Skills:- We use a broad range of tools, languages, and frameworks. We dont expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team; Experience in full cycle platform engineering including design, build, challenge and run. 8 12 years of relevant IT experience Hands-on experience in designing, implementing, and maintaining CI/CD and automation tools e.g Github, GitHub Actions, TeamCity. Previous experience in Scripting/programming languages e.g PowerShell, Bash and Python. Windows/Linux Server experience. Develop, deploy and manage platform services via Infrastructure as Code (Terraform, AWS CDK and CloudFormation, Ansible, Lambda. Experience with containerisation, virtualisation, and orchestration technologies - Docker, Kubernetes, ECS, AKS etc. Observability - Grafana, Prometheus. Education Qualification: Bachelors degree/Masters degree in Engineering in Computer Science/Information Technology If you&aposre already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you&aposll need to apply through Sidekick to submit a valid application. Were keen to support you with the next step in your career. We&aposre aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 30/07/2025 Show more Show less

Our Client in India is one of the leading providers of risk, financial services and business advisory, internal audit, corporate governance, and tax and regulatory services. Our Client was established in India in September 1993, and has rapidly built a significant competitive presence in the country. The firm operates from its offices in Mumbai, Pune, Delhi, Kolkata, Chennai, Bangalore, Hyderabad , Kochi, Chandigarh and Ahmedabad, and offers its clients a full range of services, including financial and business advisory, tax and regulatory. Our client has their client base of over 2700 companies. Their global approach to service delivery helps provide value-added services to clients. The firm serves leading information technology companies and has a strong presence in the financial services sector in India while serving a number of market leaders in other industry segments. Role Summary A Senior Cloud Engineer - Platform Capabilities with expertise in cloud and Azure services who designs and develops innovative products to streamline cloud and Azure service delivery, product management, and adoption. This role focuses on creating and deploying templates, pipelines, and scripts that facilitate, specifically within the Azure ecosystem. The Senior Cloud Engineer - Platform Capabilities will play a crucial role in driving efficiency, ensuring compliance with policies, and enabling rapid deployment of services and applications. Key Accountabilities Design and Implement Cloud Products. This includes creating templates for resource deployment, pipelines for continuous integration and delivery (CI/CD), and scripts for service operations. Establish relationships with key technical and non-technical decision-makers to help drive long-term cloud adoption to resolve business problems and develop impactful products. Contribute to developing standards and templates for Policy, Guardrails, and Security Posture management. Maintain deep technical expertise in the latest cloud technologies, understanding market technology trends, competitive insights, and industry regulatory / compliance requirements. Oversees readiness to support new product launches and changes to business rules, processes, and tools. Support in testing, development, delivery, and documenting the products, including the handover to operations and delivery. Create comprehensive documentation for products. Conduct training sessions for team members to ensure proper utilization of platform products, tools, and practices. Experience & Knowledge Proven experience as a Senior Cloud Engineer - Platform Capabilities, with a strong focus on cloud and Azure services. Understanding of cloud security principles and experience with infrastructure as a code (IaC), cloud governance, and compliance policies. Excellent communication and collaboration skills, with the ability to convey technical information to non-technical stakeholders. Technical Skills, Abilities & Qualifications In-depth knowledge of Terraform, Azure Bicep, Azure Resource Manager (ARM) templates, Azure Blueprints, Azure DevOps, and scripting languages like PowerShell and Azure CLI. Experience with CI/CD tools and processes and familiarity with containerization and orchestration technologies. Bachelor s degree in Computer Science, Engineering, or related field. Azure certifications (e.g., Azure Solutions Architect Expert, Azure DevOps Engineer Expert) are highly desirable.

As a Senior Systems Engineer specializing in Data DevOps/MLOps, you will play a crucial role in our team by leveraging your expertise in data engineering, automation for data pipelines, and operationalizing machine learning models. This position requires a collaborative professional who can design, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment. You will be responsible for building and maintaining infrastructure for data processing and model training using cloud-native tools and services. Your role will involve automating processes for data validation, transformation, and workflow orchestration, ensuring seamless integration of ML models into production. You will work closely with data scientists, software engineers, and product teams to optimize performance and reliability of model serving and monitoring solutions. Managing data versioning, lineage tracking, and reproducibility for ML experiments will be part of your responsibilities. You will also identify opportunities to enhance scalability, streamline deployment processes, and improve infrastructure resilience. Implementing security measures to safeguard data integrity and ensure regulatory compliance will be crucial, along with diagnosing and resolving issues throughout the data and ML pipeline lifecycle. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field, along with 4+ years of experience in Data DevOps, MLOps, or similar roles. Proficiency in cloud platforms like Azure, AWS, or GCP is required, as well as competency in using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible. Expertise in containerization and orchestration technologies like Docker and Kubernetes is essential, along with a background in data processing frameworks such as Apache Spark or Databricks. Skills in Python programming, including proficiency in data manipulation and ML libraries like Pandas, TensorFlow, and PyTorch, are necessary. Familiarity with CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions, as well as understanding version control tools like Git and MLOps platforms such as MLflow or Kubeflow, will be valuable. Knowledge of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana), strong problem-solving skills, and the ability to contribute independently and within a team are also required. Excellent communication skills and attention to documentation are essential for success in this role. Nice-to-have qualifications include knowledge of DataOps practices and tools like Airflow or dbt, an understanding of data governance concepts and platforms like Collibra, and a background in Big Data technologies like Hadoop or Hive. Qualifications in cloud platforms or data engineering would be an added advantage.,

At CodeAegis, we are dedicated to staying ahead in the technological landscape by delivering innovative solutions to our clientele. To support our expansion, we are in search of adept developers proficient in both Node.js and Golang to become a valuable part of our vibrant team. If you possess a fervor for crafting scalable applications and unraveling intricate challenges, we eagerly await your application! As a member of our team, your primary responsibilities will include developing, deploying, and managing scalable backend applications using Node.js and Golang. You will collaborate closely with diverse teams to architect, construct, and enhance APIs and microservices infrastructure. Your role will involve crafting clean, efficient, and sustainable code to ensure optimal performance, quality, and responsiveness of applications. Additionally, you will be tasked with designing and overseeing databases and data storage solutions to maintain high availability and consistency. Integration of third-party APIs and services into backend systems will also fall within your purview. In the event of application issues, your troubleshooting and debugging skills will come into play to swiftly identify and rectify any issues. Collaboration with frontend developers will be essential to merge server-side logic with user-facing components. Upholding code quality through peer reviews, unit testing, and adherence to industry best practices will be crucial. Staying abreast of emerging trends and techniques in Node.js and Golang and applying them effectively will be expected. Active participation in agile development cycles, providing constructive feedback, and perpetually refining processes will be part of your routine. The ideal candidate should possess proven expertise in utilizing Node.js and Golang for backend service and application development. A solid grasp of asynchronous programming, event-driven architecture, and multithreading is essential. Hands-on experience with RESTful APIs and microservices construction is required. Proficiency in managing database systems, including SQL, NoSQL, PostgreSQL, MongoDB, among others, is necessary. Familiarity with version control systems, particularly Git, is preferred. Strong problem-solving capabilities and adept debugging skills are crucial. Effective teamwork and exceptional communication skills are indispensable for seamless collaboration within the team. Knowledge of containerization and orchestration technologies such as Docker and Kubernetes is advantageous. Experience with cloud platforms like AWS, Google Cloud, or Azure is desirable. A comprehensive understanding of CI/CD pipelines, automation, and DevOps practices is a plus. A Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) is a requisite. This is a full-time permanent position with the benefit of working from home. The job is based on a day shift schedule from Monday to Friday with in-person work location requirements.,

You will collaborate closely with product and design leadership to define and prototype exciting new product ideas and concepts. As part of your role, you will architect and build end-to-end full-stack solutions, encompassing user-friendly front-end interfaces and robust, scalable back-end systems. Leveraging the power of Large Language Models (LLMs), you will develop custom algorithms to drive innovative and intelligent features within our products. Your responsibilities will also include rapidly iterating on prototypes, quickly validating technical feasibility, and ensuring alignment with the product vision. Additionally, you will provide mentorship and technical guidance to other team members, fostering a culture of high technical standards and knowledge sharing. To succeed in this role, you should have at least 6 years of proven experience in software development, with demonstrated leadership experience in guiding and mentoring teams. Deep expertise in full-stack development is essential, along with proficiency in modern front-end frameworks (e.g., React) and back-end technologies (e.g., Node.js, Python, Java, etc.). Hands-on experience in leveraging Large Language Models (LLMs) and developing advanced algorithms to solve complex problems is crucial. Ideal candidates will possess strong problem-solving skills with a proven ability to navigate ambiguity and drive clarity in early-stage product development. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and experience utilizing rapid prototyping tools and methodologies are also desired. Preferred skills for this role include experience with specific LLM platforms and libraries (e.g., OpenAI API, Hugging Face Transformers), a background in Machine Learning (ML) and Artificial Intelligence (AI) concepts, experience with containerization and orchestration technologies (e.g., Docker, Kubernetes), familiarity with agile development methodologies and rapid iteration cycles, and strong communication and presentation skills to articulate technical concepts to both technical and non-technical audiences.,

As an experienced Data Engineer with 8+ years of industry experience, you will be responsible for developing robust, scalable Python-based applications that meet the company's requirements. Your key responsibilities will include integrating and implementing Generative AI models into business applications, designing, building, and maintaining data pipelines and data engineering solutions on Azure, and collaborating closely with cross-functional teams to define, design, and deploy innovative AI and data solutions. You will be required to build, test, and optimize AI pipelines, ensuring seamless integration with Azure-based data systems. Continuous research and evaluation of new AI and Azure data technologies to enhance system capabilities will be essential. Additionally, you will participate actively in code reviews, troubleshooting, debugging, and documentation to maintain high standards of code quality, performance, security, and reliability. To excel in this role, you must possess advanced proficiency in Python programming, including knowledge of libraries and frameworks like Django, Flask, and FastAPI. Experience in Generative AI technologies such as GPT models, LangChain, and Hugging Face will be beneficial. Solid expertise in Azure Data Engineering tools like Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage is required. Familiarity with AI/ML libraries like TensorFlow, PyTorch, or OpenAI API, RESTful APIs, microservices architecture, and web application development is essential. You should also have a strong understanding of databases (SQL, NoSQL), ETL processes, containerization, and orchestration technologies like Docker and Kubernetes. Strong problem-solving, analytical, and debugging skills are a must-have for this role. Preferred qualifications include a Bachelor's or Master's degree in computer science, engineering, or related fields, prior experience developing AI-enabled products or implementing AI into applications, and Azure certifications (AZ-204, DP-203, AI-102) or equivalent. Exposure to DevOps practices and CI/CD pipelines, especially in Azure DevOps, will be an added advantage. In addition to technical skills, soft skills such as strong communication, teamwork, ability to work independently, and a passion for continuous learning and professional growth are valued. This full-time position is located in Gurgaon, Noida, Pune, Bengaluru, or Kochi. Join us at Infogain, a human-centered digital platform and software engineering company based in Silicon Valley, where we engineer business outcomes for Fortune 500 companies and digital natives across various industries. We accelerate experience-led transformation in the delivery of digital platforms using cutting-edge technologies such as cloud, microservices, automation, IoT, and artificial intelligence. Infogain is a Microsoft Gold Partner and Azure Expert Managed Services Provider, with global offices and delivery centers in multiple locations worldwide.,

As a Lead Cloud Engineer at our organization, you will have the opportunity to design and build cloud-based distributed systems that address complex business challenges for some of the world's largest companies. Drawing upon your expertise in software engineering, cloud engineering, and DevOps, you will play a pivotal role in crafting technology stacks and platform components that empower cross-functional AI Engineering teams to develop robust, observable, and scalable solutions. Working within a diverse and globally distributed engineering team, you will engage in the full engineering life cycle, spanning from designing and developing solutions to optimizing and deploying infrastructure at the scale of leading global enterprises. Your core responsibilities will include designing cloud solutions and distributed systems architecture for full-stack AI software and data solutions. You will be involved in implementing, testing, and managing Infrastructure as Code (IAC) for cloud-based solutions encompassing CI/CD, data integrations, APIs, web and mobile apps, and AI solutions. Collaborating with various teams such as product managers, data scientists, and fellow engineers, you will define and implement analytics and AI features that align with business requirements and user needs. Furthermore, your role will involve leveraging Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability. You will be responsible for developing and maintaining APIs and microservices to expose analytics functionality to internal and external consumers, in adherence to best practices for API design and documentation. Implementing robust security measures to safeguard sensitive data and ensure compliance with data privacy regulations will also be a key aspect of your responsibilities. In addition, you will continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience. Engaging in code reviews and contributing to the establishment and enforcement of coding standards and best practices will be essential to ensure the delivery of high-quality, maintainable code. Keeping abreast of emerging trends and technologies in cloud computing, data analytics, and software engineering will enable you to identify opportunities for enhancing the capabilities of the analytics platform. Collaborating closely with business consulting staff and leaders within multidisciplinary teams, you will assess opportunities and develop analytics solutions for our clients across various sectors. Your role will also involve influencing, educating, and providing direct support for the analytics application engineering capabilities of our clients. To excel in this role, you should possess a Master's degree in Computer Science, Engineering, or a related technical field, along with at least 6+ years of experience, including a minimum of 3+ years at the Staff level or equivalent. Proven experience as a cloud engineer and software engineer in product engineering or professional services organizations is essential. Additionally, experience in designing and delivering cloud-based distributed solutions and possessing certifications in GCP, AWS, or Azure would be advantageous. Deep familiarity with the software development lifecycle, configuration management tools, monitoring and analytics platforms, CI/CD deployment pipelines, backend APIs, Kubernetes, and containerization technologies is highly desirable. Your ability to work closely with internal and client teams, along with strong interpersonal and communication skills, will be critical for collaboration and effective technical discussions. Curiosity, proactivity, critical thinking, and a strong foundation in computer science fundamentals are qualities that we value. If you have a passion for innovation, a commitment to excellence, and a drive to make a meaningful impact in the field of cloud engineering, we invite you to join our dynamic team at Bain & Company.,

As a Senior Cloud Services Developer at SAP, you will be an integral part of our dynamic team working on building a cutting-edge Database as a Service. Your role will involve designing, developing, and delivering a scalable, secure, and highly available database solution that caters to the evolving needs of our customers. Your responsibilities will include collaborating closely with internal teams like product management, designers, and end-users to ensure the success of the product. Leading a team of software developers, you will contribute to the development of new products and features based on customer requirements for a wide range of use cases. Your technical expertise will be crucial in ensuring adherence to design principles, coding standards, and best practices. Troubleshooting and resolving complex issues related to cloud services performance, scalability, and security will be part of your day-to-day tasks. Additionally, you will develop and maintain automated testing frameworks to ensure the quality and reliability of the services. Staying updated with the latest advancements in cloud computing, database technologies, and distributed systems is essential for this role. To be successful in this position, you should have a bachelor's or master's degree in computer science or equivalent, along with at least 6 years of hands-on development experience in programming languages such as Go, Python, or Java. Good expertise in data structures/algorithms, experience with cloud computing platforms like AWS, Azure, or Google Cloud, and familiarity with container and orchestration technologies such as Docker and Kubernetes are necessary qualifications. Knowledge of monitoring tools like Grafana & Prometheus, cloud security best practices, and compliance requirements will also be beneficial. Your passion for solving distributed systems challenges, experience in large-scale data architecture, data modeling, database design, and information systems implementation, coupled with excellent communication and collaboration skills, will make you a valuable asset to our team. Join us at SAP, where we foster a culture of inclusion, health, well-being, and flexible working models to ensure that everyone, regardless of background, feels included and can perform at their best. We are committed to providing accessibility accommodations to applicants with physical and/or mental disabilities and believe in unleashing all talent to create a better and more equitable world. SAP is an equal opportunity workplace and an affirmative action employer. We value Equal Employment Opportunity and strive to create a diverse and inclusive workforce. If you are interested in applying for a role at SAP, please reach out to our Recruiting Operations Team at Careers@sap.com for any accommodation or special assistance needed during the application process. Please note that successful candidates may be required to undergo a background verification with an external vendor. Requisition ID: 396933 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: .,

As a Lead Platform Engineer at our esteemed organization, you will play a pivotal role in designing and constructing cloud-based distributed systems that tackle intricate business dilemmas for some of the largest companies globally. Leveraging your profound expertise in software engineering, cloud engineering, and DevOps, you will be instrumental in crafting technology stacks and platform components that empower cross-functional AI Engineering teams to develop robust, observable, and scalable solutions. Being part of a diverse and globally dispersed engineering team, you will engage in the complete engineering lifecycle, encompassing the design, development, optimization, and deployment of solutions and infrastructure on a scale that caters to the needs of the world's leading corporations. Your core responsibilities will revolve around: - Crafting cloud solution and distributed systems architecture for full stack AI software and data solutions - Implementing, testing, and managing Infrastructure as Code (IAC) of cloud-based solutions, inclusive of CI/CD, data integrations, APIs, web and mobile apps, and AI solutions - Defining and executing scalable, observable, manageable, and self-healing cloud-based solutions across AWS, Google Cloud, and Azure - Collaborating with diverse teams, including product managers, data scientists, and fellow engineers, to define and implement analytics and AI features that align with business requirements and user needs - Harnessing Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability - Developing and maintaining APIs and microservices to expose analytics functionality to both internal and external consumers, adhering to best practices for API design and documentation - Implementing robust security protocols to safeguard sensitive data and uphold compliance with data privacy regulations and organizational policies - Continuously monitoring and troubleshooting application performance, identifying and resolving issues that impact system reliability, latency, and user experience - Participating in code reviews and contributing to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code - Staying abreast of emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identifying opportunities to enhance the capabilities of the analytics platform - Collaborating closely with and influencing business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across various sectors - Influencing, educating, and directly supporting the analytics application engineering capabilities of our clients To be successful in this role, you should possess: - A Master's degree in Computer Science, Engineering, or a related technical field - 6+ years of experience, with at least 3+ years at the Staff level or equivalent - Proven expertise as a cloud engineer and software engineer in either product engineering or professional services organizations - Experience in designing and delivering cloud-based distributed solutions, with GCP, AWS, or Azure certifications being advantageous - Deep familiarity with software development lifecycle nuances - Proficiency in one or more configuration management tools such as Ansible, Salt, Puppet, or Chef - Proficiency in one or more monitoring and analytics platforms like Grafana, Prometheus, Splunk, SumoLogic, NewRelic, DataDog, CloudWatch, Nagios/Icinga - Experience with CI/CD deployment pipelines (e.g., Github Actions, Jenkins, Travis CI, Gitlab CI, Circle CI) - Experience in building backend APIs, services, and/or integrations using Python - Practical experience with Kubernetes through services like GKE, EKS, or AKS is beneficial - Ability to collaborate effectively with internal and client teams and stakeholders - Proficiency in Git for versioning and collaboration - Exposure to LLMs, Prompt engineering, Langchain is a plus - Experience with workflow orchestration tools like dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow, or any other - Experience in the implementation of large-scale structured or unstructured databases, orchestration, and container technologies such as Docker or Kubernetes - Strong interpersonal and communication skills, enabling you to explain and discuss complex engineering technicalities with colleagues and clients from different disciplines at their level of cognition - Curiosity, proactivity, and critical thinking - Sound knowledge of computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and the implications of computer architecture on software performance - Strong understanding of designing API interfaces - Knowledge of data architecture, database schema design, and database scalability - Familiarity with Agile development methodologies At our organization, Bain & Company, a global consultancy dedicated to assisting the world's most ambitious change-makers in shaping the future, we operate across 65 cities in 40 countries. Collaborating closely with our clients, we work as one team with a shared objective of achieving exceptional results, outperforming competitors, and redefining industries. Our commitment to investing more than $1 billion in pro bono services over the next decade reflects our dedication to supporting organizations addressing pressing challenges in education, racial equity, social justice, economic development, and the environment. With a platinum rating from EcoVadis, a prominent platform for environmental, social, and ethical performance ratings for global supply chains, we stand in the top 1% of all companies. Since our inception in 1973, we have gauged our success by the success of our clients and proudly maintain the highest level of client advocacy in the industry.,

At Medtronic, you can embark on a lifelong career dedicated to exploration and innovation, all while contributing to championing healthcare access and equity for all. Your leadership will be purpose-driven, aimed at dismantling barriers to innovation in a world that is more connected and compassionate. The Cardiovascular Group unites all of our cardiac and vascular businesses into a collaborative operating unit, utilizing our full range of talent, technologies, products, services, and solutions to meet the needs of customers and patients globally. Within Cardiac Rhythm Management (CRM), we offer devices and therapies for treating abnormal heart rhythms, along with cardiac diagnostic and monitoring solutions. As the SW Developer Experience Architect, your role involves designing, building, and maintaining solutions that contribute to a reliable, scalable, and efficient platform foundation supporting the deployment, management, and monitoring of applications and services. Cloud technology will be leveraged to automate various aspects of the software development and deployment lifecycle. The enterprise software you will be working on supports clinicians in over 90 geographies for in-clinic implantation, follow-up, and remote monitoring. Your responsibilities will include defining the vision and driving the realization of robust software within a DevOps-based software delivery context. You will provide leadership and architectural direction to engineering teams to ensure speed, quality, and compliance. Employing cutting-edge methodologies, standards, and tools, you will continuously enhance software by integrating progressive external and internal perspectives. Your approach will encompass system-level design thinking to address complex technical issues throughout the software development life cycle. You will collaborate with other architects to ensure that the Device Manager applications and services deliver scalable and resilient services that are both productive and efficient. By creating proof of concepts to assess new services and capabilities, participating in code development and review for Device Managers, and designing the organization's platform infrastructure in alignment with scalability, performance, security, and automation considerations, you will play a crucial role in the software development process. Additionally, you will develop and maintain automation scripts, infrastructure-as-code solutions, and configuration management tools to streamline infrastructure resource provisioning and management. Implementing containerization and orchestration technologies such as Docker and Kubernetes will enable efficient deployment and scaling of applications. You will also establish policies, standards, guidelines, governance, and related guidance for CI/CD operations and developers" work. Furthermore, you will provide technical leadership and mentorship to DevOps teams, fostering a culture of innovation, learning, and collaboration. By collaborating with stakeholders to understand their requirements and translate them into robust and scalable platform solutions, evaluating emerging technologies for enhancing the platform's architecture and processes, troubleshooting and resolving infrastructure and application-related issues, and leading capacity planning efforts, you will contribute significantly to the organization's technical strategy. Your role will involve engaging with persistent teams through Agile/Scrum ceremonies, ensuring alignment across the Patient Management ecosystem, defining user story acceptance criteria, prioritizing the Architecture Runway, and balancing security considerations with cost and capability assessments. By adapting designs based on early sprints and leveraging established standards, patterns, and practices for delivery, you will guide teams towards successful project outcomes. To be successful in this role, you should hold a B-Tech/BE or ME/M-Tech in Computer Science/Electronics or equivalent, with over 15 years of experience in the software industry. Your expertise should encompass operating a large, distributed, production software stack, Linux systems administration, Docker, Kubernetes, public or private cloud environments, and software development using various languages. Experience with CI/CD pipelines, Kubernetes package management solutions, Agile methodologies, secure software development lifecycle, automated testing tools, cloud scalability, and mission-critical environments will be beneficial. Preferred qualifications include experience with Terraform, AWS CloudFormation, Kustomize, Flux, Octopus, Ansible, Service Meshes, monitoring stacks, and relevant certifications such as DevSecOps Engineer, AWS Devops Engineering Professional, AWS Certified Security Specialist, CKA, or CKAD. Your strategic mindset, combined with a positive attitude and aptitude, will be instrumental in driving change and contributing to the organization's success. Medtronic offers a competitive salary and flexible benefits package as part of its commitment to employees. As a global leader in healthcare technology, we strive to address the most challenging health issues, aiming to alleviate pain, restore health, and extend life. Join our team of passionate individuals who work tirelessly to engineer real solutions for real people, embodying a culture of experimentation, creativity, and problem-solving. Explore more about our business, mission, and commitment to diversity by visiting our website.,

You will be part of a dynamic team at VAYUZ Technologies, an engineering company excelling in Digital Transformation, Internet-related services, Data Science, and Software Engineering. Our focus is on collaborating with key industry players to drive digital transformation and deliver tailored digital solutions across diverse sectors. At VAYUZ Technologies, our customer-centric approach prioritizes innovation, scalability, and robust technology solutions, ensuring excellence in all aspects of our projects. As a Golang Developer in New Delhi, you will play a vital role in designing, developing, and maintaining scalable software solutions using Golang. Your responsibilities will include writing clean and efficient code, collaborating with cross-functional teams to conceptualize and implement new features, and identifying and resolving issues to enhance performance. Additionally, you will participate in code reviews, conduct unit testing, and contribute to the continuous enhancement of the software development process. To excel in this role, you should possess proficiency in Golang and system programming concepts, along with hands-on experience in working with RESTful APIs, web services, and microservices architecture. Familiarity with containerization and orchestration technologies such as Docker and Kubernetes is essential, as is a strong grasp of database technologies (SQL/NoSQL). Experience with version control systems like Git, excellent problem-solving abilities, and a collaborative team spirit are key attributes we are looking for. A Bachelor's degree in Computer Science, Engineering, or a related field is required, and knowledge of Agile methodologies would be advantageous for this position.,