We are seeking a highly skilled Technical Architect Product Engineering with deep expertise in designing scalable, intelligent systems powered by modern software and deep learning architectures. This hybrid role demands strong system design skills across full-stack software engineering, cloud-native infrastructure, and AI/ML – especially in building, deploying, and optimizing deep learning models for real-world applications. You will play a key role in shaping the architectural direction of a AI product Platform, integrating classical software design with cutting-edge machine learning and deep learning innovations. Requirements Key Responsibilities: Design end-to-end software solutions covering frontend, backend, middleware, and integration layers. Define and recommend technology stacks, frameworks, platforms, and tools aligned with project and organizational needs. Design and implement microservices architectures with service discovery, fault tolerance, load balancing, and inter-service communication patterns. Architect RESTful APIs, GraphQL endpoints, and event-driven interfaces for seamless internal and external integrations. Leverage cloud platforms (AWS, Azure, GCP) to design scalable and secure infrastructure using compute, storage, networking, and IAM services. Utilize Docker, Kubernetes, and container orchestration for scalable, continuous deployment-ready systems. Design robust data storage solutions: RDBMS: MySQL, PostgreSQL, Oracle NoSQL: MongoDB, Cassandra, DynamoDB Caching: Redis, Memcached Search: Elasticsearch, Solr Implement asynchronous communication using Kafka, RabbitMQ, or ActiveMQ.\ Work with DevOps to build CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation, Ansible). Conduct performance tuning, caching strategies, and load balancing to meet SLA targets. Embed security best practices: secure coding, OAuth2, JWT, encryption, vulnerability scanning, OWASP compliance, GDPR readiness. Implement monitoring, logging, and alerting using Prometheus, Grafana, ELK Stack, Splunk. Perform regular code and architecture reviews to maintain standards and code quality. Create and maintain architecture diagrams, design documentation, and technical specifications. Lead proofs of concept (PoCs) and drive adoption of emerging technologies and frameworks. AI/ML & Deep Learning Responsibilities: Architect and implement AI/ML pipelines and deploy production-grade models using TensorFlow, PyTorch, Keras, ONNX, or JAX. Deploy models using platforms like SageMaker, Vertex AI, Kubeflow, or Triton Inference Server. Design deep learning systems for NLP, computer vision, forecasting, or speech processing using modern architectures (Transformers, CNNs, LSTMs, GANs). Integrate MLOps practices: model versioning, continuous training, drift detection, and automated deployment. Ensure model explainability (e.g., LIME, SHAP), performance optimization, and compliance with ethical AI standards. Required Skills: Programming: Python, Java, C#, Go, JavaScript/TypeScript Architecture patterns: Microservices, Event-driven, SOA, Layered Cloud: Deep experience with AWS, Azure, or GCP (including serverless and managed services) Containers & orchestration: Docker, Kubernetes, Helm, Istio, Linkerd Data: RDBMS (MySQL, Oracle, PostgreSQL), NoSQL (MongoDB, Cassandra), Redis, Elasticsearch Messaging/Event systems: Kafka, RabbitMQ, ActiveMQ API design & security: REST, GraphQL, Apigee, Kong, OAuth2, JWT, SAML DevOps: CI/CD tools (Jenkins, GitLab CI, CircleCI), IaC (Terraform, CloudFormation) Observability: Prometheus, Grafana, ELK Stack, Splunk AI/ML: TensorFlow, PyTorch, MLflow, SageMaker, Kubeflow, ONNX, Triton
Greetings from Cloud Destinations! Hope this mail finds you well with regards to an opportunity based in Chennai. If you are keen in exploring this opportunity, kindly have a look on below the detailed JD and revert with your updated CV for further interview process. Company Overview: Cloud Destinations is a Silicon Valley-headquartered, well-established technology organization focused on digital transformation, enterprise application development, infrastructure projects, and professional services related to Large Scale Cloud Migrations, Multi-Cloud Operations (AWS, Azure, Google Cloud, VMware, Rack Space, etc.), Dev Ops, RNOC, Security Operations, Datacenter, UC Collaboration, and IoT. We pride ourselves on deep domain skills in retail, health care, financial, travel, and high technology. We have a strong technical and leadership team, with offices located globally. We believe our successes come from our teamwork and mutual respect for each others talents and unique perspectives. Company website: https://clouddestinations.com/ LinkedIn Profile: https://www.linkedin.com/company/cloud-destinations Role: Full Stack Developer Location: Chennai Work From Office (5 days) Experience: 4+ Years Notice Period: Immediate to 30 Days Strong programming knowledge in JavaScript (ES6+), TypeScript , HTML5, and CSS3. Understanding of HTML, CSS, and responsive web design. Familiarity with OOPs concepts and design principles. Knowledge of the fundamentals of SQL for relational and non-SQL database. Experience in Node.JS & React.JS Awareness of AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, etc.). Ability to learn quickly and adapt to new technologies.
Company Description Cloud Destinations, headquartered in Silicon Valley, specializes in digital transformation and enterprise application development for the Healthcare, Retail, and Technology sectors. We excel in cloud migrations, multi-cloud operations, DevOps, security operations, and IoT. Our globally distributed team includes skilled technical experts and effective leaders who thrive on teamwork and respect for diverse viewpoints. For more details, visit our website: www.clouddestinations.com. Role Description This is a full-time, on-site role for a Data Engineer Manager located in Coimbatore . We are looking for a highly skilled Data Engineering Manager to lead and grow our data engineering team, driving the design, development, and maintenance of scalable data pipelines and architecture. In this role, you will work closely with cross-functional teams, including data science, analytics, software engineering, and business stakeholders, to ensure the delivery of high-quality data solutions that support business objectives. If you're passionate about data, cloud technologies, and leading high-performing teams, wed love to hear from you! Team Leadership: Lead, mentor, and manage a team of data engineers, ensuring effective collaboration, professional growth, and high-quality output. Data Architecture: Design, build, and maintain robust data pipelines and architectures that efficiently support data-driven processes and systems. Data Strategy: Develop and execute data engineering strategies in alignment with business goals and evolving data needs. Data Integration: Oversee the integration of data from various sources, including third-party APIs, databases, and streaming platforms. Optimization & Maintenance: Ensure high performance, scalability, and reliability of data processing systems, continuously optimizing workflows and improving data quality. Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and deliver solutions accordingly. Cloud Technologies: Oversee the adoption and integration of cloud-based solutions (AWS, Azure, Google Cloud) to manage and process large-scale datasets efficiently. Governance & Security: Implement and maintain best practices for data governance, data privacy, and security in line with industry standards and regulations. Stakeholder Communication: Regularly communicate progress, challenges, and outcomes to stakeholders across the organization, providing insights and solutions as needed. Project Management: Plan, prioritize, and oversee data engineering projects, ensuring timely delivery of solutions that meet both business and technical requirements. Technical Expertise: Strong proficiency in programming languages such as Python, Java, or Scala. Experience with data processing frameworks like Apache Spark, Kafka, Hadoop , or similar technologies. Hands-on experience with ETL tools and techniques, including workflow orchestration (e.g Airflow, Luigi ). Strong SQL skills and familiarity with NoSQL databases (e.g., MongoDB, Cassandra). Proven experience with cloud platforms ( AWS, Google Cloud, Azure ) and related data storage solutions ( S3, Redshift, BigQuery, etc. ). Leadership : Proven experience leading and mentoring data engineering teams, fostering a culture of continuous learning and collaboration. Data Architecture : Expertise in designing scalable and efficient data architectures, pipelines, and workflows. Problem Solving : Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. Communication : Excellent communication skills, capable of collaborating with both technical and non-technical stakeholders. Project Management : Experience managing multiple projects and deadlines in a fast-paced environment. Familiarity with machine learning pipelines and big data platforms. Certification in cloud platforms (AWS Certified Data Analytics, Google Cloud, Professional Data Engineer, etc.). Knowledge of data governance, compliance, and security best practices (e.g., GDPR, CCPA). Interested and suitable applicants kindly share your resume to kavyaga@clouddestinations.com
Job Title 1: DevOps Manager Job Title 2: Senior DevOps Engineer Location: Chennai/Coimbatore Department: L2 Operations Experience: 12+ years Employment Type: Full-time Position Overview: We are looking for an experienced and proactive Manager DevOps to lead and manage a DevOps team responsible for supporting development pipelines, deployment automation, infrastructure monitoring, and system reliability. This role combines technical understanding of DevOps principles with strong leadership, communication, and client-handling capabilities. The ideal candidate should have hands-on exposure to DevOps tools and methodologies, team management experience, and the ability to collaborate across technical and business teams. Key Responsibilities: Lead, mentor, and develop a high-performing DevOps team focused on CI/CD pipelines, infrastructure-as-code (IaC), and cloud operations. Conduct regular team stand-ups, one-on-one reviews, and performance appraisals to drive accountability and growth. Promote skill development through hands-on mentoring, coaching, and technical training programs. Foster a collaborative team culture that emphasizes ownership, quality delivery, and continuous improvement. Guide the team in adopting and implementing DevOps best practices including CI/CD, automated deployments, containerization, and system monitoring. Ensure system uptime, reliability, and performance through proactive incident management and root cause analysis. Review and validate automation scripts, deployment workflows, and configuration changes. Collaborate with development, QA, and product teams to support agile release cycles and improve deployment efficiency. Drive enhancements in release management, system scalability, and infrastructure optimization. Oversee cloud infrastructure provisioning, scaling, monitoring, and optimization across platforms such as AWS, Azure, or GCP. Lead operational excellence initiatives in cloud environments through automation, security, compliance, and performance management. Champion infrastructure-as-code (IaC) using tools like Terraform, CloudFormation, or ARM templates. Implement and manage cloud governance practices including access control, disaster recovery, and backup strategies. Collaborate with security and compliance teams to align cloud operations with enterprise security standards and regulatory requirements. Review cloud architecture periodically for efficiency, cost-effectiveness, and alignment with evolving business needs. Monitor usage trends, forecast demand, and implement cost-control measures to optimize cloud expenditure. Act as the primary technical liaison for clients on infrastructure, deployment, and operational concerns. Understand client infrastructure needs, SLAs, and ensure the team delivers high-quality, timely solutions. Lead client calls, provide status updates, and conduct post-incident reviews with a focus on transparency and improvement. Proactively address client escalations and ensure resolution through a customer-first approach. Maintain clear, consistent communication with internal and external stakeholders regarding operational health, risks, and action plans. Required Qualifications & Skills: Bachelors degree in computer science, IT, or a related field; relevant certifications (e.g., AWS/Azure DevOps, Docker, Kubernetes) are a plus. 10+ years of overall experience, including at least 7 years managing a DevOps or infrastructure team. Strong understanding of DevOps concepts: CI/CD, IaC, containerization, cloud services, and monitoring. Familiarity with tools such as Jenkins, Git, Docker, Kubernetes, Ansible, Terraform, AWS/Azure/GCP, Prometheus, Grafana, etc. Strong problem-solving and incident management skills. Experience managing on-call rotations and production incident workflows. Excellent communication and stakeholder management skills. Preferred Attributes: Agile/Scrum knowledge and experience supporting agile release management. Strong analytical and reporting skills.
Role & responsibilities: Outline the day-to-day responsibilities for this role. Preferred candidate profile: Specify required role expertise, previous job experience, or relevant certifications.
Role & responsibilities Preferred candidate profile We are seeking a passionate and experienced Technical Lead to spearhead the design and development of scalable, enterprise-grade applications. The ideal candidate will have deep expertise in Java , Spring Boot , and Microservices , as well as strong proficiency in React , Angular , and modern cloud services. You will lead a cross-functional team, drive architectural decisions, and ensure engineering best practices in an Agile environment. Responsibilities: Lead the end-to-end technical design and development of applications using Java microservices and modern frontend technologies (React, JavaScript). Define and maintain scalable, secure, and high-performing architecture and system designs. Guide the team in applying software design patterns, best practices, and code quality standards. Collaborate with product owners, scrum masters, and stakeholders in an Agile/Scrum environment. Conduct code reviews, mentor junior engineers, and manage technical risks. Own delivery timelines, technical documentation, and CI/CD practices. Evaluate and implement cloud-native services and deployment strategies on platforms like AWS, Azure, or GCP. Requirements 8+ years of experience in software development with strong backend skills in Java, Spring Boot, and Microservices architecture. Hands-on experience in React.js, JavaScript, and REST APIs. Deep understanding of System Design and Software Design Patterns. Experience with Agile/Scrum methodologies and working in cross-functional teams. Proven ability to design scalable, secure cloud solutions (AWS, GCP, or Azure). Strong experience in leading development teams and delivering production-grade applications. Excellent communication, problem-solving, and leadership skills. EXP:10-20Years Location: Chennai/Coimbatore Notice Period:0-30 Days