1436 Cassandra Jobs

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key Skills Data analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture*

Skills Informatica power center, SQL programming, Datawarehousing conceptsSkill Description Create workflows for data extraction, transform and loading of data from source to target MySQL, Oracle, PostgreSQL, Microsoft SQL Server, MongoDB, Redis, Elasticsearch, Cassandra, MariaDB and IBM Db2 Etc Good understanding of target systems like landing zone, transformation zone, data warehouse, data martsLeverage Github copilot to understand the requirement, migration of code to newer technology, create tech docs, create Unit test case and run these test cases from CI/CD Strong understanding of source to target mapping, data lineage, data reconciliation

Actively seek out the toughest technology and engineering problems and solve them with little to no guidance. Own large opportunities and initiatives and drive clarity, convergence, and closure across teams. Take the larger vision or challenge and distill it down with the leadership team into strategies and plans including trade-offs required to realize the vision. Be a role model on acting with good judgment and responsibility. Engineers across the organization will look to you on how best to plan and execute on projects. Provide technical leadership and vision in designing, implementing, testing and rolling out the next generations of our fintech systems. Raise the bar on sustainable engineering by improving best practices, producing best in class of code, documentation, testing, and monitoring. Be a humble mentor and trusted advisor for both our talented team members and passionate leaders alike. Deal with differences in opinion in a mature and fair way, helping teams to commit and move forward. Basic Qualifications ---- Bachelors degree or higher in an engineering field (e.g. Computer Science, Computer Engineering, etc.) 10+ years experience designing, implementing large scale distributed systems (serving 5K+ QPS, participating in 100M+ in transactions) Advanced, inside-out knowledge of multiple programming languages, data store systems, and message queue. We use programming languages like Go, Java, Python, data stores like Cassandra, DynamoDB, Redis and MQs like Kafka- Any programming language is fine. Deep, industry-leading expertise in one or more technology domains and are the "go-to" person for one or more areas of their business. A track record of building large-scale, highly-available systems that solve complex, organizational level business problems. Expert and hands-on understanding of fault-tolerant systems and multi-datacenter/cloud architectures. Passion for driving continual improvement initiatives on engineering best practices like coding, testing or monitoring. Excellent written and verbal communication skills, including the ability to write detailed technical documents. Passionate about helping teams grow by inspiring and mentoring engineer

You need to be a HODLer of theseCore Technical Skills Strong programming in Go (primary), with experience in Java/Scala/Python Expertise in distributed systems, microservices, event-driven architectures Hands-on with real-time streaming (Kafka, Flink, Pulsar, Spark Streaming) Deep knowledge of databases: NoSQL (Cassandra, DynamoDB, MongoDB, ScyllaDB, Bigtable) SQL (Postgres, MySQL) Experience with caching & in-memory compute (Redis, Aerospike, Memcached) Exposure to financial systems (ledgering, reconciliation, reporting) fintech/crypto a strong plus Execution & Problem-Solving Skills Proven track record of building scalable, low-latency, high-throughput systems Ability to translate ambiguous finance/risk problems into robust technical solutions Obsessed with accuracy, reliability, and customer trust metrics Strong sense of ownership and accountability, delivers outcomes under pressure You will be mining through these tasks Managing end-to-end product development and delivery Owning the technical architecture and leading the engineering decisions for the product Collaborating with designers, developers, growth managers, and product managers to estimate and plan projects in an Agile environment Leading a team of engineers, mentoring them and motivating them to solve complex problems Sharing timely feedback with the team membersAre you the oneOur missing block You are knowledge-hungry when it comes to VDA and Web3, always eager to dive deeper and stay ahead in this evolving space The world of Web3 and VDA excites you, fueling your curiosity and driving you to explore new opportunities within this dynamic landscape You act like an owner, constantly striving for excellence, impact, and tangible results in everything you do You embrace a We over Me mindset, growing individually while fostering the growth of those around you Change is your catalyst, igniting your passion to build and innovate You think outside the box, unbound by limitations or doubt, always pushing the boundaries of what s possible Perks That Empower YouOur benefits are designed to make a lasting impact on your life, giving you the freedom to create a work-life balance that truly suits you Design Your Own Benefit: Tailor your perk package to fit your unique needs Whether you re eyeing a new gadget or welcoming a furry friend into your life, our flexible benefits ensure that you can prioritize what matters most to you Unlimited Wellness Leaves: We believe in the power of well-being Take the time you need to recharge, knowing that your health is our priority With unlimited wellness leaves, you can return refreshed, ready to build and grow Mental Wellness Support: Your mental health is as important as your professional growth

We are streamingo.ai , a deep learning company working in the domain of activity recognition. The company has developed 2 products on a MEAN stack architecture. We are now looking for a specific skill set to augment our Core platform team of engineers ( They have developed https://deeplabel.app). Ideally youd have: Developing front end website architecture and user interactions web pages. Designing and developing APIs. Experience building complex web products end-to-end in one of the frameworks(Angular, React.) Expertise working on all parts of the stack (frontend, backend). Familiarity with databases (e.g. Cassandra, MongoDB).

IBM is seeking talented and movtivated Software Developers to work on products across the Software Portfolio. In this role, you will collaborate closely with a worldwide team of experienced and energetic professionals to create new and expected capabilities in our industry-leading Sustainability Software portfolio. You will work across the entire software delivery cycle including requirements gathering, use case definition, design, implementation, test, test automation documentation, and delivery, including cloud infrastructure such as DevOps, SRE, Security, and customer support work as part of your scope. You'll frequently work with Product Owners, Architects, Release Managers, Designers, Sales, Support Business partners, and customers throughout this process. As a planning analytics developer, you should be technically proficient in working with data integration tools and building data models/cubes in Planning Analytics to build and support Envizi’s Planning & Forecasting capabilities. Act as a technical expert in Planning Analytics (PA) and TM1 for internal Product Development Develop and evolve Envizi’s Planning Analytics models to support the wider Envizi team and our clients, promoting Planning Analytics model governance principles and applying a best-in-class design and approach to Planning Analytics model building. Help develop technical documentation for end users of Envizi’s Planning Analytics models. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total experience of 6+ years inPlanning Analytics, TM1 design and delivery/implementation Proven ability to translate business and technical requirements into effective solutions. Familiarity with data engineering and basic data science methodologies. Strong problem-solving and communication skills for collaborating with team members and stakeholders. Experience with budgeting, forecasting, analysis, and management reporting solutions. Work with Planning Analytics-adjacent systems and teams to build upon our connected planning ecosystem Preferred technical and professional experience Development experience in Data Analytics using Java or Python or equivalent language Relevant experience with technologies like SQL and NoSQL DB , Git, Jenkins and build tools like Maven/Gradle is much preferred. Familiarity with Cassandra, Mongo, ElasticSearch, Flink and/or Kafka.

Your Role & Responsibilities: Looking to make a significant impact? This is your chance to become a key part of a dynamic team of talented professionals, leading the development and deployment of innovative, industry-leading, cloud-based AI services. We are seeking an experienced AI & Cloud Software Engineer to join us. This role designing, developing, and deploying AI-based services. You will be instrumental in problem-solving, automating wide ranges of tasks, and interfacing with other teams and solve complex problems. Responsibilities: Develop AI capabilities in IBM Cloud based applications Design and be an avid coder who can get his hands dirty and be involved in the coding to the deepest level. Work in an agile environment of continuous deliverable. You’ll have access to all the technical training courses you need to become the expert you want to be. Define all aspects of development from appropriate technology and workflow to coding standards Collaborate with other professionals to determine functional and non-functional requirements Participate in technical reviews of requirements, specifications, designs, code and other artifacts. Learn new skills and adopt new practices readily in order to develop innovative and cutting-edge software products that maintain Company’s technical leadership position. Required education Bachelor's Degree Required technical and professional expertise Required Skills 5–7 years of hands-on full stack development experience Experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, LLMs, GenAI) Strong backend skills (Java, Python, Node.js), REST APIs, Kafka, GitHub Solid cloud experience (IBM Cloud, AWS, or Azure), Kubernetes, Docker, CI/CD Experience with databases like Cassandra, PostgreSQL, Redis, etc. Exposure to microservices architecture and modern API design Good understanding of web techHTTP, JSON, JavaScript, HTML Passionate about constant, continuous learning and applying new technologies as well as mentoring others. Keen troubleshooting skills and strong verbal/written communication skills. Preferred technical and professional experience Preferred Skills Messaging tools (Kafka, RabbitMQ) OS knowledge (Linux distros), networking basics (TCP/IP, HTTP) Experience in SaaS, automation (Selenium/Puppeteer), and CI/CD pipelines Ownership mindset and passion for continuous learning Working across global teams and collaborating across teams and organizational boundaries Finding innovative ways to solve complex problems with cutting edge technologies.

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities include: Comprehensive Feature Development and Issue ResolutionWorking on the end to end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue ResolutionCollaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology IntegrationBeing eager to learn new technologies and implementing the same in feature development Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 8-10 years of experience developing Java applications, Need full stack candidates with knowledge on both backend and frontend technologies. Minimum 4-6 years of experience using React v16+, Redux with state management. Hands-on experience with Microservices, Springboot Java. Experience with one of these databases SQL/NoSQL, Postgres, MongoDb, Cassandra. Develop and maintain high-quality, efficient, and scalable backend applications. Participate in all phases of the software development lifecycle (SDLC), Write clean, well-documented, and testable code adhering to best practices. Collaborate with team members to ensure the successful delivery of projects, Debug and troubleshoot complex technical problems, Identify and implement Preferred technical and professional experience None

We are currently seeking a GCP Python Gen AI LLM RAG Vertex AI to join our team in Hyderabad, Telangana (IN-TG), India (IN). Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (Must Have) 2+ years working with GCP (Google Cloud Platform and its services ) or alternate public/hybrid cloud and a proven track record delivering products with cloud services and cloud architectures at scale. (Must Have) 2+ years of experience with Python (Must Have) 3+ years of experience with GenAI, LLMs, RAG, vector databases and conversational bots (Must Have) 1+ years of experience with Playbooks , Vertex AI (Must Have) Exposure to ADK (hands-on) and Voice AI (Good to have) , LangChain and/or LangGraph is a plus (Good to have) ,4+ years of Contact Center industry experience with design, development, testing, integration with vendors, CRMs and business applications. Proven knowledge in one or more of the contact center sub domains such as: IVR/IVA, NLU/NLP, Real Time Omni channel Agent experience and customer journey, CX/AX experience optimization using AI/ML (Artificial Intelligence/ Machine Learning) (Good to have) ,4+ years of experience with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services (Good to have) ,2+ years of Deep Domain Driven Design experience with cloud native Microservices designed and developed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s or Serverless cloud technologies.

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key SkillsETL pipelines,data warehouses,SQL,Python,AWS Redshift,Google BigQuery,ETL*

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key SkillsPython,AWS Redshift,Google BigQuery,ETL pipelines,data warehousing,data architectures,SQL*

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key SkillsData analytics,ETL,SQL,Python,Google Big Query,AWS Redshift,Data architecture*

Design and implement scalable data architectures to optimize data flow and analytics capabilities Develop ETL pipelines, data warehouses, and real-time data processing systems Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery Work closely with data scientists to enhance machine learning models with structured and unstructured data Prior experience in handling large-scale datasets is preferred Mandatory Key Skillspython,data warehousing,etl,amazon redshift,bigquery,data engineering,data architecture,aws,machine learning,data flow,etl pipelines,real-time data processing,java,spring boot,microservices,spark,kafka,cassandra,scala,nosql,mongodb,rest,redis,SQL*

Design and implement scalable data architectures to optimize data flow and analytics capabilities. Develop ETL pipelines, data warehouses, and real-time data processing systems. Must have expertise in SQL, Python, and cloud data platforms like AWS Redshift or Google BigQuery. Work closely with data scientists to enhance machine learning models with structured and unstructured data. Prior experience in handling large-scale datasets is preferred. Mandatory Key SkillsSQL,Python,data warehousing,etl,amazon redshift,bigquery,data engineering,AWS,machine learning,real-time data processing,Java,spring boot,microservices,spark,Kafka,Cassandra,Scala,NoSQL,mongodb,Redis,data architecture*

Work Flexibility: Hybrid or Onsite Position Description: Vocera Now a Part of Stryker is seeking a dedicated Manager R&D with a strong background in software engineering within the microservices and cloud domain, coupled with excellent people management skills. In this role, you will mentor and lead a team, driving innovation and delivering high-quality enterprise-class products. You will oversee software development and testing teams, ensuring the scalability, longevity, and reliability of product releases. What you will do: Technical Responsibilities: Experience with managing the development, testing, and deployment of Micro Services and cloud applications and solutions Drives functional excellence initiatives, delivers high-quality R&D functional deliverables, and ensures technical excellence for product or technology development. Drives technical projects of major magnitude and scope Provides significant guidance and approval regarding technical strategies and approaches. Lead the Agile development process, including planning, code reviews, code hygiene, and alignment with important product releases Collaborate with the NA teams, Technical Support, Escalations team, and DevOps to anticipate and mitigate project issues as well as troubleshoot issues encountered by customers Provides guidance and training to staff, assists subordinates in attaining career goals, motivates individuals to achieve results, and recruits and maintains a high-quality staff. Coordinates sessions with project managers/core team leaders to look for opportunities for staff to learn about new initiatives or volunteer on new projects. Determines project staff assignments and schedules work to meet completion dates and R&D deliverables. Establishes cross-functional team relationships. What you will need: Competencies: Track record of building and delivering solutions based on a solid understanding of customer needs. Results-driven, hands-on approach to the full product life cycle from architecture development to product implementation. A passion for the end-to-end development of quality software products. Excellent troubleshooting and debugging, communications, and documentation skills. Resourceful and able to solve complex problems through adapting technology and a deep understanding of product architecture. Proficient in designing and developing microservices architecture, with expertise in scalable and resilient systems. Proficient in designing and developing microservices architecture with expertise in containerization, orchestration, and cloud-native technologies. Additionally, hands-on experience in optimizing microservices for performance, scalability, and security would be considered a significant asset, further enhancing the candidate's suitability for the role. PREFERRED QUALIFICATIONS: Education Requirements: Masters or bachelors in computer science or related field. 12+ years applicable experience, with 4+ years direct people management experience preferred. Good level of understanding of experience in, and ability to mentor in one's own technical/functional disciplines. Technical Skills: Good level of understanding of experience in, and ability to mentor in one's own technical/functional disciplines. Proficient in building robust back-end applications using Spring Boot . Strong experience with containerization and orchestration tools such as Docker and Kubernetes. Solid understanding of database technologies, including SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) . Hands-on expertise with Kafka Confluent for event streaming and message brokering. In-depth knowledge of microservice architecture, including designing, developing, and deploying scalable services. Familiarity with cloud platforms such as AWS, GCP, or Azure , and their associated services. Basic understanding of authentication protocols such as SAML, OIDC , and related security standards. Good communication skills and ability to work in Agile development environments. Leadership Experience: Talented performance coach who is skilled at providing actionable feedback to team members, setting clear performance objectives, and managing team member performance. General knowledge of the healthcare market and competitors. Experience executing a talent and performance management strategy. Demonstrated ability to communicate plans and technical information to team members within a business unit. Proven ability to deliver programs or other business goals on time, on quality and within budget. Travel Percentage: 10%

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Skills: agile development methodologies,aws cloud platform,angular,security best practices,spring boot,kubernetes (k8s),kafka,ai,docker,leadership,microservices architecture,cassandra,java,aws,software Mandatory Key Skill sagile development methodologies,aws cloud platform,angular,spring boot,kubernetes,kafka,docker,microservices architecture,cassandra,java,aws,Software Engineering*

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Mandatory Key SkillsSaas,microservices,spring boot,Kafka,docker,Kubernetes,angular framework,spring,Cassandra,GenAI*,Java*,artificial intelligence*,machine learning*,AWS*

leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Skills: ssl/tls,software,agile development methodologies,spring boot,kubernetes,java,security best practices,microservices architecture,agile methodologies,leadership,kafka,architecture and design patterns,ai,aws cloud platform,docker,kubernetes (k8s),aws,oauth,angular,cassandra Mandatory Key Skillsjava,microservices,artificial intelligence,aws cloud microservices,software engineering,GenAI*

Role: Staff Engineer Location : Bengaluru, India - (Hybrid) About Reltio: At Reltio , we believe data should fuel business success. Reltio s AI-powered data unification and management capabilities encompassing entity resolution, multi-domain master data management (MDM), and data products transform siloed data from disparate sources into unified, trusted, and interoperable data. The Reltio Connected Data Platform delivers interoperable data where and when its needed, empowering data and analytics leaders with unparalleled business responsiveness. Leading enterprise brands across multiple industries around the globe rely on our award-winning data unification and cloud-native MDM capabilities to improve efficiency, manage risk and drive growth. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our Customer First , we strive to ensure their success. We embrace our differences and are Better Together as One Reltio. We are always looking to Simplify and Share our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We Own It . Every day, we innovate and evolve, so that today is Always Better Than Yesterday . If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and top rankings for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let s talk! About the team Core Platform development is spread across multiple cross-functional teams, each building a large and complex component of the MDM platform. As a Staff Engineer in the team, you will be responsible for successful delivery of features in our areas of ownership, covering the following key aspects: Work with PMs to build a solid product roadmap with clear, well-defined goals and KPIs Drive design and development of features, provide thought and execution leadership Work across functions with QA, DevOps & Doc teams to ensure a high-quality delivery Present design for new initiatives in the global forum of architects Job Duties and Responsibilities: Deliver features with high quality, be customer-focused. Champion engineering excellence, raise the bar on code coverage, coding guidelines and review processes. Provide technical leadership and mentor junior team members. Deal with ambiguity in complex problems, show bias for action. Work closely with architects to actively shape the architecture of your work area and the broader product. Work closely with PM, QA & Doc teams to ensure a thorough testing strategy, robust deployment and lucid documentation of features. Effective communication with cross-functional teams and global stakeholders. Skills You Must Have: Engineering degree in computer science field Solid foundation in computer science, with strong competencies in algorithms, data structures, software design, and building large, distributed systems 8+ years of experience in design and development of products for enterprise customers. 4+ years of experience in building large-scale distributed data systems in Java and cloud technologies. Proven track record of building functionalities from conception to delivery, engaging with customers and partners to drive successful adoption and customer satisfaction. Experience in leading projects with a crew of engineers, providing technical mentorship. Experience building services on one of the 3 major cloud service providers: AWS, Azure or GCP, hands-on experience in managed cloud databases Skills That Are Nice to Have: Experience working with NoSQL databases like Cassandra, queue services like SQS Experience in cloud security principles Experience with Kubernetes Experience with big data technologies Experience in driving customer focus for SaaS products is a big plus Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Required Experience Bachelors degree in computer science or related field or equivalent relevant experience Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. Proficient in programming languages such as Python, Java, or JavaScript. Familiarity with EHR systems (Epic, Cerner, Meditech), healthcare interoperability standards and national health data sets Familiarity with parallel health care industries such as Pharma, Life Sciences, Population Health, Payer, National Health Systems, or State based health programs 10 years of experience in Engineering, Analytics and Data Science in health care Responsibilities What you will do This role will work closely with customers, to design, develop, and deploy AI applications on our AI Health Data Platform that address critical healthcare challenges across entire health systems. You will rapidly build data pipelines, tools, analytics and data applications across the domains of Population Health, Life Sciences and Research. You will rapidly feedback requirements to our product and engineering leaders to build back into the platform. The ideal candidate will have a strong technical background, experience in healthcare IT, and a passion for improving healthcare delivery. Join us and create the future. Collaborate with healthcare providers and stakeholders to understand their needs and develop tailored solutions. Design and implement healthcare technology solutions, AI-driven analytics tools and applications. Build and iterate data products and applications on a cloud data platform Confidently present complex topics to CTO and executive audiences Able to continuously learn, work independently and autonomously across product & engineering teams, with the ability to make decisions with minimal supervision. Travel up to 25%

1. Performance Tuning & Troubleshooting: Must have expertise in Database performance tuning, SQL query tuning and performance optimization using AWR, ASH, and ADDM reports . Troubleshoot GoldenGate replication lag, database connectivity, and execution plan issues . Use Oracle Enterprise Manager (OEM) and OCI Monitoring tools for proactive monitoring. 2. Oracle GoldenGate (OGG) Implementation & Management: Design and implement real-time data replication using Oracle GoldenGate for heterogeneous environments . Configure Extract, Pump, and Replicate processes for both unidirectional and bidirectional replication . Monitor, troubleshoot, and optimize GoldenGate replication performance . Implement conflict detection and resolution in multi-master replication environments. 3. Oracle 23ai ATP & ADW Expertise: Deploy, configure, and optimize Oracle Autonomous Transaction Processing (ATP) and Autonomous Data Warehouse (ADW) on OCI . Implement automated performance tuning, auto-scaling, and security policies for ATP & ADW. Utilize Oracle Machine Learning (OML) features in 23ai ADW for data analytics and AI-driven insights. Ensure seamless data integration, migration, and replication between ATP, ADW, and on-prem databases . 4. Oracle Cloud Infrastructure (OCI) Database Management: Deploy and manage OCI-based database services , including DBaaS, Exadata, and Oracle Autonomous Database . Configure OCI networking, IAM roles, security groups, and database encryption . Automate database provisioning and management using Terraform, Ansible, or OCI CLI . Implement database migration strategies using OCI Data Transfer, Data Pump, or GoldenGate Cloud Service . 5. Oracle Database Engineering & Administration: Install, configure, and manage Oracle databases (19c, 21c, and 23ai ATP/ADW) in OCI environments . Perform database performance tuning, indexing, and optimization for high efficiency. Implement backup and recovery strategies using RMAN and OCI Backup Service. Ensure high availability (HA) and disaster recovery (DR) with Data Guard, Flashback, and OCI-based solutions . 6. Security & Compliance: Implement data encryption, masking, and role-based access control (RBAC) in ATP, ADW, and OCI databases. Ensure compliance with industry security standards (GDPR, HIPAA, PCI-DSS, and CIS benchmarks) . Conduct database patching, security updates, and vulnerability assessments . Required Skills & Experience: 10+ years of experience in Oracle Database Administration and Engineering . Expertise in Oracle GoldenGate (OGG) for real-time data replication . Hands-on experience with Oracle 23ai ATP (Autonomous Transaction Processing) and ADW (Autonomous Data Warehouse) . Strong knowledge of SQL, PL/SQL, query optimization, and database tuning . Experience with RMAN, Data Guard, and Oracle Enterprise Manager (OEM) . Hands-on experience with OCI-based database solutions and Terraform/Ansible for automation . Familiarity with cloud networking, security policies, and IAM roles in OCI . Preferred Qualifications: Experience with Kafka, Oracle Stream Analytics, or other real-time data streaming technologies . Knowledge of PostgreSQL, MySQL, or NoSQL databases like MongoDB, Cassandra . Hands-on experience with DevOps tools (Jenkins, Docker, Kubernetes) for database automation . Oracle Certifications (OCP, OCI Architect, or OGG Specialist) are highly desirable. Educational Qualification: Bachelors / Masters degree in Computer Science, IT, or a related field .

Key Points: Enables customers to add AI capabilities to their Apps and Workflows easily via APIs or Containers, Useable without needing to build AI expertise in-house and Covers key gaps Decision Support, NLP, for Public Clouds and Enterprise in NLU, NLP, Vision and Conversational AI. You're Opportunity: As we innovate to provide a single collaborative ML environment for data-science professionals, we will be extremely happy to have you join us and share the very future of our Machine Learning platform - by building an AICloud service. We are addressing exciting challenges at the intersection of artificial intelligence and innovative cloud infrastructure. We are building cloud services in Computer vision for Image/Video and Document Analysis, Decision Support (Anomaly Detection, Time series forecasting, Fraud detection, Content moderation, Risk prevention, predictive analytics), Natural Language Processing (NLP), and, Speech that works out of the box for enterprises. Our product vision includes the ability for enterprises to be able to customize the services for their business and train them to specialize in their data by creating micro models that enhance the global AI models. What Youll Do Develop scalable infrastructure, including microservices and a backend, that automates training, deployment, and optimization of ML model inference. Building a core of Artificial Intelligence and AI services such as Vision, Speech, Language, Decision, and others. Brainstorm and design various POCs using AI Perpetual AI Services for new or existing enterprise problems. Collaborate with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs, understanding theirs, and addressing external and internal shareholder product challenges. Lead research and development efforts to explore new tools, frameworks, and methodologies to improve backend development processes. Experiment with ML models in Python/C++ using machine learning libraries (Pytorch, ONNX, TensorRT, Triton, TensorFlow, Jax), etc. Leverage Cloud technology Oracle Cloud (OCI), AWS, GCP, Azure, or similar technology. Qualifications Masters degree or equivalent experience (preferred) in computer science, Statistics or Mathematics, artificial intelligence, machine learning, Computer vision, operations research, or related technical field. 3+ years for PhD or equivalent experience, 5+ years for Masters, or demonstrated ability designing, implementing, and deploying machine learning models in production environments. Practical experience in design, implementation, and production deployment of distributed systems using microservices architecture and APIs using common frameworks like Spring Boot (Java), etc. Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure, and containerization (Docker, Kubernetes). Working knowledge of current techniques, approaches, and inference optimization strategies in machine learning models. Experience with performance tuning, scalability, and load balancing techniques. Expert in at least one high-level language such as Java/C++ (Java preferred). Expert in at least one scripting language such as Python, Javascript, and Shell . Deep understanding of data structures, and algorithms, and excellent problem-solving skills. Experience or willingness to learn and work in Agile and iterative development and DevOps processes. Strong drive to learn and master new technologies and techniques. You enjoy a fast-paced work environment. Additional Preferred Qualifications Experience with Cloud Native Frameworks tools and products is a plus Experience in Computer vision tasks like Image Classification, Object Detection, Segmentation, Text detection & recognition, Information extraction from documents, etc. Having an impressive set of GitHub projects or contributions to open-source technologies is a plus Hands-on experience with horizontally scalable data stores such as Hadoop and other NoSQL technologies like Cassandra is a plus. Our vision is to provide an immersive AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fueled by highly energetic, technology-savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big?

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular ramework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Mandatory Key Skillsagile development methodologies,aws cloud platform,angular,spring boot,kubernetes,kafka,docker,microservices architecture,cassandra,java,aws,Software Engineering*

(GenAI, JAVA, AI/ML, AWS,Saas is Must ) 15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Skills: angular,ssl/tls,agile development methodologies,spring boot,kafka,aws cloud platform,docker,leadership,java,kubernetes,ai,microservices architecture,software,cassandra,security best practices,agile methodologies,oauth,kubernetes (k8s),aws Mandatory Key Skillsagile development,spring boot,kafka,aws cloud,docker,kubernetes,java,microservices,angular*

15 years of experience in software engineering, with at least 5 years of experience in a leadership role. Strong technology expertise in Java, Microservices architecture, AWS cloud platform, AI, and the Angular framework. Solid background in building scalable and distributed systems, with expertise in technologies such as Spring boot (Spring (Core, AOP, Transactions, Data, Security), Cassandra, Kubernetes (K8s), Kafka, Docker and others. Experience with security best practices and protocols (e.g., SSL/TLS, OAuth) Hand on experience towards Architecture and Design patterns. Practice industry's leading best guidelines/processes in building enterprise products/components Proven track record of successfully leading and managing high-performing engineering teams. Excellent communication, interpersonal, and leadership skills. Ability to mentor and coach others, helping them develop their technical and leadership skills. Strong problem-solving and analytical skills. Experience with Agile development methodologies. Ability to prioritize effectively and manage multiple tasks simultaneously. Experience in building and scaling software applications. Experience in recruiting and hiring top-tier engineering talent. Ability to work effectively in a cross-functional team environment. Skills: agile development methodologies,aws cloud platform,angular,security best practices,spring boot,kubernetes (k8s),kafka,ai,docker,leadership,microservices architecture,cassandra,java,aws,software Mandatory Key Skills agile development,aws cloud platform,angular,spring boot,Kubernetes,kafka,ai,docker,Software Engineering*