Senior Database Engineer - DBA

Join our dynamic team at DigitalOcean as a Senior Cloud Support Engineer, specializing in AI/ML and database technologies. In this impactful role, you will leverage your expertise to provide exceptional technical support, troubleshoot complex issues, and collaborate with cross-functional teams to enhance our cloud services. Your contributions will be pivotal in ensuring our clients achieve their goals using our innovative infrastructure and tools.

DigitalOcean is hiring a Cloud Support Engineer - Database for its Bengaluru office. This team focuses on helping customers get the most from cloud infrastructure and managed database products. The role supports key accounts with direct, hands-on problem solving and guidance. What You’ll Do Troubleshoot database and cloud infrastructure issues for customers, working closely with users to resolve problems quickly and thoroughly. Advise customers on best practices for managed databases and DigitalOcean’s platform. Collaborate with Product and Engineering teams to address complex scenarios and ensure strong customer outcomes. Grow technical knowledge across a range of database systems and DigitalOcean services. Who We’re Looking For Interest in cloud infrastructure and database technologies. Commitment to delivering responsive, high-quality support for customers. Enjoys working as part of a collaborative, energetic team. Ready to build expertise in managed databases and cloud solutions. Reporting Line This position reports to the Manager, Cloud Support Engineer.

Join our dynamic team at gsstech-group as a Senior Technology Engineer, where you will leverage your expertise in AI/ML platforms, MLOps, and scalable inference systems. In this pivotal role, you will be responsible for the design, deployment, and optimization of cutting-edge AI-driven solutions in both on-premises and cloud environments, with a particular emphasis on Generative AI and Large Language Model (LLM)-based applications.Key Responsibilities:Architect, develop, and sustain containerized applications utilizing OpenShift, OpenShift AI, Kubernetes, and Helm Charts.Integrate and fine-tune AI inference engines like Triton Inference Server and vLLM for optimal model serving performance.Oversee the complete model lifecycle management from deployment to monitoring, scaling, and maintenance in production settings.Implement comprehensive monitoring and alerting frameworks with tools such as Prometheus and Grafana.Collaborate on groundbreaking Generative AI and LLM initiatives, including Agentic AI systems.Establish and manage CI/CD pipelines using Jenkins, Ansible, Groovy, and Terraform.Create automation tools and scripts with Python to enhance system efficiency and reliability.Design and administer AI/ML solutions on AWS Cloud, utilizing services like Amazon SageMaker and AWS Bedrock (preferred).Enhance AI platforms across hybrid environments (on-premise and cloud).Ensure systems are scalable, resilient, and high-performing.Contribute to architectural design decisions and shape the future roadmap of AI platform capabilities.

About Nightfall:Nightfall is an innovative, AI-driven platform focused on data loss prevention and insider risk management, safeguarding sensitive information across various SaaS applications, Generative AI tools, email systems, endpoint devices, and beyond. Trusted by hundreds of clients, from groundbreaking AI startups to major financial institutions, Nightfall excels at detecting and halting data exfiltration on a large scale. Our platform empowers organizations to innovate without the fear of losing intellectual property or jeopardizing customer information. With automated remediation capabilities, security violations are addressed proactively before escalating into incidents, while end-users receive real-time training and support to rectify any violations they may introduce.Backed by top venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, Nightfall is further strengthened by cybersecurity veterans including Enrique Salem (former CEO of Symantec), Frederic Kerrest (founder of Okta), and others.About the Role:We are seeking an outstanding technical leader to join our dynamic team at Nightfall. In the capacity of Lead Applied Scientist within the AI Engineering division, you will be responsible for developing machine learning and natural language processing models, as well as Generative AI solutions to enhance our Data Leak Protection (DLP) and other security offerings. You will spearhead efforts in researching and implementing machine modeling techniques to address security challenges, providing mentorship to both ML and Backend engineers as they move systems into production. Your contributions will be vital in shaping the long-term architecture of our AI Platform.This is a hybrid position (2 days in the office) based in our Bengaluru office, offering an ideal opportunity to pursue your passion for Data Science and ML engineering.Responsibilities:Engage in fast-paced, hands-on execution, collaborating with the team to achieve clear business objectives and deliver results effectively.Employ creative statistical and machine learning modeling techniques to address complex problems in enterprise security and data leak detection, researching the most accurate and cost-efficient solutions.Develop, train, and optimize NLP, large language, and other models for deployment in extensive, real-time environments.Collaborate with the team to transition model prototypes into production through all phases of the ML lifecycle: system architecture, data generation, training, and deployment.

About UsMindtickle stands as the premier revenue productivity platform, adeptly merging on-the-job learning with deal execution to elevate revenue per representative. Acknowledged as a frontrunner by top industry analysts, we proudly hold the title of the #1 sales onboarding and training product according to G2. Additionally, we have been honored as a Leader in the inaugural Forrester Wave™: Revenue Enablement Platforms, Q3 2024!In the role of a Senior Software Development Engineer specializing in AI/ML, you will:- Transform business inquiries and requirements into actionable technical specifications, solutions, architectures, and implementations.- Define precise problem statements and technical requirements that align business objectives with AI research goals.- Spearhead the comprehensive design, prototyping, and implementation of AI systems, ensuring they achieve performance, scalability, and reliability benchmarks.- Design solutions for Generative AI and Large Language Model integrations, focusing on prompt engineering, context management, and agentic workflows.- Develop and uphold production-quality code with extensive test coverage and robust CI/CD pipelines utilizing AWS, Kubernetes, and cloud-native infrastructures.- Establish and manage post-deployment monitoring, performance testing, and alerting frameworks to guarantee adherence to performance and quality SLAs.- Conduct meticulous design and code reviews, uphold best practices, and champion technical excellence across the team.- Mentor junior engineers and interns, cultivating a culture of continuous learning and innovation.- Collaborate intimately with product management, QA, data engineering, DevOps, and customer-facing teams to deliver cohesive AI-driven product features.

About Cognite Cognite builds AI and data solutions for industrial digitalization. The team works with companies around the world to help them accelerate digital transformation and improve operational efficiency. Drawing on a strong industrial background and a growing set of AI tools, including low-code AI agents, Cognite tackles complex, high-impact challenges across industries. The culture values agility, ownership, and a willingness to question established ways of working. People who see challenges as a chance to move forward tend to thrive here. Cognite’s Moonshot initiative targets unlocking $100 billion in customer value by 2035, aiming to reshape how global industries operate.

Join Point72 as a Database Support Engineer, where you will be a crucial part of our technology team, ensuring the stability and performance of our database systems. You will work closely with various departments to provide expert support, troubleshoot issues, and implement solutions that enhance our data management capabilities.

Nielsen Holdings plc is looking for an AI/ML Engineer II in Bengaluru. This position involves building and deploying advanced machine learning models to address real-world problems. The work centers on turning data into insights that drive decisions and solutions. Role overview This role focuses on contributing to the design, development, and implementation of machine learning systems. Projects often require collaboration with team members and stakeholders to ensure models are effective and aligned with business needs. Key responsibilities Develop and maintain machine learning models Deploy solutions that address practical challenges using data-driven approaches Work closely with colleagues to deliver reliable, scalable results Location This position is based in Bengaluru.

Join gsstech-group as a Senior Data Engineer within our dynamic Data Engineering chapter in the Technology Platform domain. We seek a talented individual with a robust background in real-time data streaming, contemporary data platforms, and the operationalization of AI/ML technologies (AIOps, MLOps, LLMOps).In this pivotal role, you will design, build, and optimize scalable data pipelines that empower advanced analytics and AI-driven solutions.

Join our dynamic team at Tekion as a Senior Database Engineer, where you'll play a pivotal role in designing, implementing, and maintaining our database systems. This is an exciting opportunity to leverage your expertise in database architecture and optimization to drive innovation and efficiency in our operations.

Are you driven by a passion for Artificial Intelligence and eager to foster innovation within a dynamic, impact-oriented environment? Do you possess substantial experience in developing AI-driven applications and have a knack for mentoring others? If this resonates with you, we would love for you to become a part of our team at Nexthink as a Senior AI & ML Engineer!In this pivotal role as a senior member of the AI team, you will spearhead architectural decisions, set best practices, and deliver resilient, scalable AI systems, with a keen focus on AI-driven and agentic applications operating in production settings.Key ResponsibilitiesLead AI Development: Take ownership of the comprehensive design, development, and operational management of production-level AI/ML solutions, encompassing ML and NLP models, large language models (LLM), retrieval-augmented generation (RAG), and multi-agent systems. Make critical architectural decisions regarding model selection, training methodologies, retrieval techniques, orchestration frameworks, and infrastructure.AI Excellence: Develop evaluations and establish success metrics utilizing state-of-the-art AI platforms.MLOps: Apply and oversee MLOps methodologies to enhance the deployment, monitoring, and maintenance of models in production environments.Collaboration & Leadership: Partner closely with software engineers, data scientists, and product teams to synchronize AI capabilities with business objectives.Mentorship & Coaching: Provide guidance and support to junior AI engineers, nurturing a culture of continuous learning and knowledge sharing.

Join our dynamic team as a MongoDB Database Engineer where you will be responsible for managing, optimizing, and automating production-grade MongoDB clusters in enterprise environments. This role is not for the faint-hearted; it requires a profound understanding of MongoDB internals—we're looking for someone who can own cluster health, performance, and automation from start to finish. Key ResponsibilitiesAdminister and support MongoDB replica sets and sharded clustersDesign and maintain robust high availability and disaster recovery strategiesPerform backups, restores, upgrades, and patching with minimal or zero downtimeMonitor cluster health, replication lag, disk usage, and query performanceDiagnose and resolve issues such as slow queries, locking problems, index inefficiencies, and capacity bottlenecksImplement security best practices including:Authentication & authorization (RBAC)TLS / encryption at restAuditing and access controlsAutomate MongoDB operations using Ansible, scripts, and CI/CD pipelinesSupport MongoDB deployments on AWS / Azure / GCPCollaborate closely with application and DevOps teams for schema design and performance optimizationParticipate in on-call rotations and manage production incidentsMaintain thorough operational documentation and runbooks

Join gsstech-group as a Technology Engineer specializing in AI/ML Platforms, MLOps, and GenAI infrastructure. In this pivotal role, you will be responsible for designing, building, and scaling cutting-edge AI systems. We are looking for a candidate who excels in containerized environments, model serving, and cloud-based AI architecture, with an emphasis on performance, scalability, and resilience.Key Responsibilities:Design, build, and maintain containerized applications leveraging technologies such as OpenShift, OpenShift AI, Kubernetes, and Helm Charts.Deploy and optimize AI inference engines like Triton Inference Server and vLLM for high-performance model serving.Lead the end-to-end model lifecycle management, including deployment, monitoring, scaling, and retraining workflows.Implement comprehensive monitoring, logging, and alerting systems using Prometheus and Grafana.Collaborate on projects focused on GenAI and LLM-based solutions, particularly Agentic AI solutions.Develop and automate CI/CD pipelines with tools such as Jenkins, Groovy, Ansible, and Terraform.Create automation scripts and internal tools using Python.Architect and manage AI/ML solutions on AWS, utilizing services like SageMaker and Bedrock (preferred).Enhance AI platforms across on-premise and cloud environments.Ensure systems are highly scalable, fault-tolerant, and optimized for performance.Contribute to architecture design, platform roadmap, and strategic technical decisions.

Join Abstrabitte Technologies Pvt Ltd as a Senior AI/ML Engineer, where you will play a pivotal role in developing cutting-edge machine learning models and artificial intelligence solutions. You will collaborate with a talented team of engineers and data scientists to innovate and deliver impactful AI applications.

Join our dynamic team at Endava as an AI/ML GCP Engineer. In this role, you will leverage your expertise in artificial intelligence and machine learning to design and implement innovative solutions on the Google Cloud Platform. You will collaborate with cross-functional teams to enhance our client delivery services and drive impactful projects that utilize cutting-edge technologies.

Job Title: Senior AI ML Data Engineer for ADAS Backend Development with AzureWe are seeking a skilled Python Lead with extensive experience in Azure Cloud to oversee data-in-the-loop operations, emphasizing data traceability and sequencing.Key Responsibilities:Prioritize project requirements in alignment with stakeholder expectations. Design, develop, and maintain high-quality Python code, with a primary focus on FastAPI for API development.Manage API deployment and operations on Azure Cloud, utilizing Docker and Kubernetes for effective containerization and orchestration.Implement Infrastructure as Code (IaC) using Terraform to ensure scalable and maintainable cloud infrastructure. Collaborate with cross-functional teams to define project requirements and architecture.Conduct thorough code reviews, offer technical guidance, and mentor team members to promote continuous improvement.Uphold best practices in software development, including rigorous testing, comprehensive documentation, and effective version control.Troubleshoot and resolve complex technical challenges to ensure system reliability and performance.

Join our cutting-edge team at Bosch Group as an AI/ML Architect, where you will lead innovative projects leveraging artificial intelligence and machine learning technologies. This role involves designing and implementing advanced algorithms and models, collaborating with cross-functional teams to drive AI initiatives, and ensuring the successful integration of AI solutions into business processes.

Join our dynamic AdTech team as a Senior AI/ML Engineer, where you will play a pivotal role in the development and deployment of cutting-edge machine learning models and AI-powered features for our advertising platform. Collaborate with cross-functional teams including engineering, product management, and data science to create high-performance ML solutions aimed at enhancing campaign optimization, personalizing user experiences, and generating creative insights. You will be responsible for operating at scale, processing billions of ad events each day with a focus on low latency and high reliability.Key ResponsibilitiesMachine Learning Implementation: Design, implement, and deploy scalable ML solutions tailored for core AdTech functions such as targeting, ranking, pacing, and measurement. Navigate the entire lifecycle from experimentation to production.ML System Architecture: Develop and refine the ML lifecycle, ensuring seamless integration of models with ad serving systems while meeting stringent low-latency and high-throughput criteria.Technical Expertise: Influence the AI/ML technical roadmap by assessing and adopting advanced tools and methodologies (including deep learning and LLMs). Make informed decisions that prioritize maintainability and operational excellence.AI & Agentic Solutions: Create and integrate LLM-driven features and workflows that facilitate campaign management tasks like audience insights, bid recommendations, and creative generation, all within established guidelines.Collaborative Efforts: Engage closely with engineering, product, and data science teams to interpret marketing goals into ML-driven results, establish success metrics, and implement continuous improvements.Performance Optimization: Manage ML services in a high-concurrency environment, optimizing inference pathways, implementing monitoring and alerting systems, addressing model drift, and ensuring safe deployment practices.Mentorship & Standards: Guide and support fellow engineers through code and model reviews, promoting best practices in testing, documentation, and reproducible ML workflows.

Join the Bosch Group as an AI/ML Architect, where you will lead innovative projects that harness the power of artificial intelligence and machine learning. Your expertise will drive the development of cutting-edge solutions that enhance our product offerings and improve operational efficiency. Collaborate with diverse teams to design and implement AI strategies that align with business objectives and customer needs.