Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

Skills Required: Should have a minimum 6+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally and technical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources. Design, build and maintain batch or real-time data pipelines in production. Develop ETL/ELT Data pipeline (extract, transform, load) processes to help extract and manipulate data from multiple sources. Automate data workflows such as data ingestion, aggregation, and ETL processing and should have good experience with different types of data ingestion techniques: File-based, API-based, streaming data sources (OLTP, OLAP, ODS etc) and heterogeneous databases. Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders. Strong experience and implementation of Data lakes, Data warehousing, Data Lakehousing architectures. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Monitor data systems performance and implement optimization strategies. Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership. Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.). Strong experience with Python, SQL, pySpark, Scala, Shell Scripting etc. Strong experience with workflow management & Orchestration tools (Airflow, Should hold decent experience and understanding of data manipulation/wrangling techniques. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR etc. Snowflake Data Warehouse/Platform. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, Ansible etc Experience building and deploying solutions to AWS Cloud. Good experience on NoSQL databases like Dynamo DB, Redis, Cassandra, MongoDB, or Neo4j etc. Experience with working on large data sets and distributed computing (e.g., Hive/Hadoop/Spark/Presto/MapReduce). Good to have working knowledge on Data Visualization tools like Tableau, Amazon QuickSight, Power BI, QlikView etc. Experience in Insurance domain preferred.

Position Title: Senior Data Engineer, Products and Platform Data Engineering About the Team: Atlassian's Data Engineering team is a highly skilled group dedicated to building world-class data solutions and applications that power crucial business decisions throughout the organization. We manage and maintain multiple analytical data models and pipelines across Atlassian, providing a unified way of analyzing products, customers, operations, and their interconnections. We re the backbone of the data-driven culture at Atlassian, supporting teams across Finance, Growth, Product Analysis, Customer Insights, Sales, and Marketing. We are looking for a Senior Data Engineer to join our Products and Platform Data Engineering team. This role reports to the Data Engineering Manager, based in Sydney. In this role, you will help build the infrastructure that enables our data solutions to grow and scale, making sure that business stakeholders have access to accurate and actionable insights. You ll partner closely with Data Analytics, Data Scientists, and various stakeholders to deliver high-impact data solutions across Atlassian's ecosystem. What You ll Do: Collaborate with Data and Business Teams: Partner with Product Analytics, Data Scientists, and other stakeholders to understand their needs and architect/build data solutions that provide valuable insights and drive business decisions. Design and Build Data Models and Pipelines: Develop scalable data models and build data acquisition/ingestion processes that can handle large volumes of data, ensuring they meet the product and business requirements. Develop Backend Systems: Build and maintain backend data systems that help Atlassian scale its data infrastructure, enabling seamless flow and access to critical data. Lead End-to-End Data Solutions: Take full ownership of building, scaling, and improving data pipelines and processes across Atlassian. You'll handle requirements from vague concepts, iterating to refine solutions rapidly. Improve Data Quality: Drive initiatives to improve the data quality within the team by using and enhancing internal tools and frameworks that automatically detect and resolve data quality issues. Mentor and Support Team Members: Help foster a culture of learning by mentoring junior engineers and ensuring best practices are maintained across the team. What We re Looking For: BS in Computer Science or equivalent experience. 8+ years of experience as a Senior Data Engineer or in a similar role, with a deep understanding of data engineering processes and infrastructure. Strong programming skills in Python (other languages such as Java or Scala are a plus) and experience with data-centric programming. Proficiency in SQL and experience designing and optimizing relational databases for large-scale data storage and retrieval. Experience with Spark (SparkSQL) and other tools in the big data ecosystem to build scalable data pipelines (e.g., Apache Kafka, Hive, Flink, etc.). Familiarity with AWS (Amazon Web Services) or similar cloud platforms and experience with services like EMR, S3, Kinesis, and RDS. Experience with data modeling and designing efficient storage solutions for both structured and unstructured data. Hands-on experience with scheduling frameworks like Airflow or equivalent tools to orchestrate workflows. Strong experience with Agile methodologies, including TDD, CICD, and continuous iteration for improvement. Problem-solving mindset: Ability to turn vague requirements into concrete solutions and handle complex challenges with creative, scalable solutions. Nice-to-Have Skills: Experience building self-service data platforms for internal teams to access and work with data independently. Experience with real-time data processing using technologies like Apache Kafka or Flink. Familiarity with Databricks and their APIs. Knowledge of monitoring and observability tools for ensuring high data quality and reliable data systems. At Atlassian, we believe in delivering high-quality solutions through collaboration, innovation, and a focus on customer success. This is a fantastic opportunity to join a fast-growing company and help build the data systems that power key business decisions across the organization. You will have the chance to work with cutting-edge technology and shape Atlassian s data-driven culture. If you're an experienced Data Engineer with a passion for building scalable data solutions and working with teams to drive business value, we d love to hear from you! Qualification : BS in Computer Science or equivalent experience.

Lead / Senior DevOps Engineer SRE, Public Cloud & Automation (Hyderabad, India) Full-Time | Software Engineering | Salesforce Hyderabad Drive Automation. Build Scalable Systems. Shape the Future of Cloud Engineering. Join Salesforce as a Lead or Senior DevOps Engineer and play a critical role in operating one of the world s most advanced multi-cloud, microservices, and Kubernetes-based platforms. This is your opportunity to work on high-impact distributed systems that serve tens of millions of users across industries every single day. If you're passionate about DevOps, Site Reliability Engineering (SRE), infrastructure automation, and public cloud platforms, and thrive in fast-paced environments, this role is for you. What You ll Do Maintain and scale a large fleet of Kubernetes clusters powering core Salesforce services and applications Automate everything: from provisioning to deployment and monitoring using tools like Terraform, Python, Go, Spinnaker, and Puppet Ensure high availability, reliability, and performance of large-scale distributed systems Troubleshoot complex, multi-layered production issues across compute, network, and storage layers Implement self-healing systems, smart alerts, and observability solutions using tools like Grafana, Prometheus, Nagios, Zabbix Collaborate closely with engineering, architecture, and platform teams across Salesforce Evaluate and integrate emerging technologies to drive platform resilience, scalability, and automation Required Skills & Qualifications 7+ years of hands-on DevOps or Site Reliability Engineering (SRE) experience in production environments Strong background in Linux systems administration and internals Fluent in scripting or programming languages like Python, Golang, or Bash Deep knowledge of Kubernetes, Docker, and service mesh technologies Experience with AWS (Amazon Web Services) and Infrastructure as Code (IaC) tools like Terraform Strong understanding of networking concepts: TCP/IP, load balancing, switches, DNS, firewalls Familiarity with CI/CD pipelines using tools like Jenkins, Spinnaker, or similar Proficiency in using configuration management tools: Puppet, Chef, or Ansible Proven troubleshooting skills in large-scale distributed systems and cloud-native architectures A continuous learner with strong analytical thinking and collaborative communication skills Preferred / Bonus Skills Prior experience in SRE ownership of large-scale SaaS platforms Experience working with multi-region deployments and resilient architectures Hands-on knowledge of API integration with public cloud vendors (AWS, Azure, GCP) Exposure to data durability, high-availability storage systems, and clustering solutions Perks & Benefits Industry-leading benefits including healthcare, fertility support, adoption & parental leave Well-being reimbursement and generous time-off policies Continuous learning through Trailhead and world-class enablement Mentorship and leadership coaching with executive exposure Opportunities to give back via Salesforce s 1:1:1 philanthropy model Join us in redefining the DevOps landscape and making scalable, secure, and self-healing systems the foundation of modern enterprise software.

Azure Data Engineer (Mid-Level) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience Level: 5+ Years Industry: Information Technology / Cloud Data Engineering Job Overview We are hiring an experienced Azure Data Engineer (Mid-Level) to join our team in Hyderabad. In this role, you will work closely with business stakeholders, analysts, and IT teams to design, implement, and manage scalable, high-performance data solutions on the Azure Cloud Platform. Your expertise in data modeling, ETL development, and cloud-based data warehousing will be critical in supporting data-driven decision-making across the organization. Key Responsibilities Analyze large datasets and deliver clear, actionable reports using statistical techniques. Design and implement data pipelines, data collection systems, and analytics strategies that enhance operational efficiency. Develop and maintain data systems, ensuring high data quality, consistency, and integrity. Collaborate with business stakeholders, analysts, and developers to translate business requirements into technical solutions. Design, build, and manage distributed data systems and applications on the Azure Cloud. Lead and execute ETL development, including data extraction, transformation, and loading using tools like Informatica or SSIS. Conduct technical design reviews, performance tuning, and testing of data workflows. Adapt to changing priorities and contribute as an individual contributor or team leader depending on project scope. Required Qualifications & Skills Bachelor s degree in Computer Science, Information Systems, or a related field. Minimum 5+ years of experience in data engineering, data analysis, or database design. Proficient in SQL and T-SQL for querying and managing relational databases. Hands-on experience with ETL frameworks such as Informatica or SSIS. Strong understanding of data modeling, data mining, and segmentation techniques. Experience working with structured and unstructured data sources. Proficient in statistical tools and packages (Excel, SSIS, SAS, etc.). Strong analytical mindset with excellent attention to detail and data accuracy. Preferred Skills (Good to Have) Experience with Python and Apache Spark for data manipulation and automation. Experience with modern data platforms: Azure Synapse Analytics Azure Databricks Amazon Redshift Prior experience in developing automation solutions using Python or similar scripting languages. Knowledge of Enterprise Data Warehousing (EDW) concepts and solutions. Competitive compensation package with benefits. Work with cutting-edge cloud technologies in real-world environments. Collaborative, fast-paced, and innovation-driven workplace. Career development support with continuous learning opportunities. A chance to make a tangible impact on enterprise-level data systems. Apply Now If you are a data-driven professional with a strong command of Azure and ETL tools, and you re looking to advance your career in data engineering, apply now and become part of a forward-thinking tech team based in Hyderabad! Qualification : Bachelors degree in Computer Science, Information Systems, or a related field.

About Arcadia: Arcadia is at the forefront of tackling the climate crisis by empowering energy innovators and consumers. Our cutting-edge software and APIs are helping transform the outdated energy systems into a decarbonized, data-driven network. Arcadia's mission, launched in 2014, is to break the fossil fuel monopoly and unlock clean energy options for consumers and businesses. Today, we are expanding even further with the Arcadia Platform, a SaaS solution enabling developers to create custom, personalized energy experiences. Join us in building a clean energy future. What We re Looking For: We are seeking a skilled L2 Engineer with at least 2 years of experience to provide on-call support during US hours. The role requires a proactive, detail-oriented individual who will monitor dashboards, detect issues, and take immediate action to resolve incidents. The L2 Engineer will play a critical role in ensuring business continuity by swiftly addressing incidents that impact operations. Key Responsibilities: Dashboard Monitoring: Regularly monitor dashboards and alert systems like Datadog and Sentry to detect anomalies and potential issues in real-time. Incident Management: Proactively identify and escalate incidents by raising Jira tickets, categorizing issues by urgency and business impact. Immediate Issue Resolution: Utilize strong debugging skills to diagnose and resolve high-priority issues swiftly, minimizing business disruptions. Documentation: Maintain clear records of incidents, resolutions, and processes to improve team efficiency and knowledge sharing. Collaboration: Work closely with internal teams, clearly communicating incident details and coordinating prompt resolutions. Required Skills and Qualifications: 2+ years of experience with Python for troubleshooting, scripting, and automation. Proficient in SQL scripting to effectively query and troubleshoot databases. Strong debugging and problem-solving skills to address technical issues efficiently. Experience with monitoring tools like Datadog and Sentry for effective issue detection. Proficient in using Jira to raise, manage, and track incident tickets. Excellent communication skills for documenting incidents and coordinating with cross-functional teams. Preferred Qualifications: Previous on-call support experience, particularly in environments where downtime has critical business implications. Familiarity with JavaScript and Ruby on Rails for enhancing monitoring and automation capabilities. Knowledge of incident management best practices, including SLAs and escalation procedures. Experience with Amazon Aurora, PostgreSQL, and Snowflake for data management. Familiarity with containerization and orchestration technologies like Docker and Kubernetes. What Arcadia Offers: Competitive compensation based on market standards. Flexible leave policy to support work-life balance. Medical insurance for you and your family (up to 6 members), including accident and life insurance. Annual performance cycle with recognition and rewards. Quarterly team engagement activities and opportunities for recognition. Learning and development programs to foster professional growth. A supportive engineering culture that emphasizes diversity, empathy, teamwork, and efficiency. Why Arcadia? At Arcadia, we value diversity and individuality. We believe that diverse perspectives are crucial to our collective success in creating a clean energy future. As part of our commitment to inclusion, we provide reasonable accommodations for individuals with disabilities during the application or interview process. While we are unable to consider candidates requiring visa sponsorship, we encourage all qualified candidates eligible to work in India to apply. How to Apply: If you're ready to contribute to a clean energy future and are excited to join a passionate team of innovators, we encourage you to apply. Arcadia welcomes diverse candidates and is eager to see how your unique skills and experience can enhance our mission.

AI Agent Engineer Location: Bengaluru About Us: Observe.AI Observe.AI is the leading AI agent platform for customer experience. We enable enterprises to deploy AI agents that automate customer interactions, delivering natural conversations with predictable outcomes. Our platform combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. We also empower teams to guide and augment human agents with AI copilots, while analyzing 100% of interactions for insights, coaching, and quality management. Leading companies like DoorDash, Affordable Care, Signify Health, and Verida rely on Observe.AI to accelerate service speed, increase operational efficiency, and strengthen customer loyalty across all channels. We re looking for an AI Agent Engineer to take the lead in building and deploying enterprise-grade Voice, Chat AI agents, and AI Copilot solutions. This role is hands-on, customer-facing, and crucial for bringing AI solutions to life from design and integration to deployment and optimization. As an AI Agent Engineer, you'll **own the end-to-end lifecycle of AI agents**: from building and integrating them to testing, deploying, and tuning performance to meet client requirements. What You ll Be Doing: AI Agent Development & Deployment: Take full ownership of building and deploying AI agents, including designing prompts, workflows, integrations, telephony setup, and evaluation forms. Client Engagement & Demos: Lead weekly client demos, showcase progress, gather feedback, and act as the primary technical contact once the solution is defined. Systems Integration: Configure and integrate APIs, handle data mappings, manage authentication, error handling, and connect AI agents to CRMs, databases, or knowledge systems. Telephony Integration: Set up and optimize SIP/CCaaS/PSTN routing, configure fallbacks, pass metadata, and troubleshoot call quality issues. Optimization & Iteration: Continuously monitor agent performance, refine prompts, conduct iterative tests, and ensure agents meet automation and containment targets. Strategic Consultation: Translate customer requirements into actionable solutions, while working consultatively to unblock challenges related to security, connectivity, or knowledge ingestion. Collaboration with Engineering: Work alongside the product and engineering teams for deeper technical fixes and platform improvements, while leading client delivery independently. What You ll Bring to the Role: 3+ years of experience in conversational AI, ML engineering, or system integration, with hands-on delivery of AI/LLM-based solutions. Strong expertise in prompt engineering, workflow building, API integration, and telephony systems (SIP, Twilio, Amazon Connect, etc.). Familiarity with Large Language Models (GPT, Claude, Gemini) and orchestration frameworks like LangChain and LlamaIndex. Solid ML knowledge in areas such as embeddings, retrieval-augmented generation (RAG), evaluation frameworks, and fine-tuning models for optimal performance. Proficiency in programming languages such as Python, JavaScript, or similar. Customer-facing experience, with the ability to lead deep technical discussions and conduct weekly project demos. A strong problem-solving mindset, with the ability to find workarounds, unblock integrations, and adapt to unique customer ecosystems. Bachelor s degree in Computer Science, Engineering, or a related technical field. Experience with Integration Platform-as-a-Service (iPaaS) providers such as n8n, Zapier, or similar, and a strong understanding of API integrations and data flow management. Extensive hands-on experience with telephony integrations, including protocols like SIP, PSTN, and other telephony technologies. Perks & Benefits: Medical Insurance: Comprehensive medical coverage and free online doctor consultations. Generous Leave Policies: Annual privilege and sick leave (as per Karnataka S&E Act), national and festive holidays, plus parental leave. Learning & Development Fund: Support for continuous learning and professional development. Fun Team Culture: Regular fun events to foster a collaborative and engaging work environment. Flexible Benefit Plans: Tax-saving benefits (meal cards, PF, etc.) and other flexible benefit options. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

Lead Data Engineer | ThoughtWorks | Bangalore, India Location: Bangalore, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we're a global technology consultancy that integrates strategy, design, and engineering to drive digital innovation. For over 30 years, we've worked alongside our clients to deliver solutions that challenge the status status quo. With a diverse and inclusive team, we empower each other to grow through shared learning, fostering an environment where innovation thrives. Our commitment to a cultivation culture is key to our success, and we re looking for a Lead Data Engineer to join our Bangalore team and lead transformative projects. Job Overview As a Lead Data Engineer at ThoughtWorks, you will be responsible for designing, developing, and operating modern data architectures that meet client business objectives. You will lead and manage data engineering projects end-to-end, from strategic planning to hands-on coding, ensuring the delivery of scalable and efficient data solutions. Working with cutting-edge technologies, you ll collaborate with stakeholders, clients, and cross-functional teams to implement data-driven strategies that address complex business challenges. Key Responsibilities Project Leadership: Lead and manage data engineering projects from inception to completion, including goal-setting, scope definition, and ensuring on-time delivery in collaboration with cross-functional teams. Data Architecture & Solution Design: Collaborate with clients to design modern data architecture and implement end-to-end solutions that meet key business objectives. Create intricate data processing pipelines to address complex business problems. Stakeholder Collaboration: Work closely with stakeholders to understand business objectives and identify opportunities to leverage data and data quality improvements. Data Modeling & Governance: Develop data models using modern modeling techniques and implement them using appropriate technologies. Ensure compliance with data governance, security, and privacy requirements. Scalable Implementations: Partner with data scientists to design scalable implementations of their models, ensuring the solutions are robust and efficient. Clean, Iterative Code: Write clean, modular code based on TDD (Test-Driven Development) and implement continuous delivery practices to support and operate data pipelines. Technology Guidance: Advise clients on distributed storage and computing technologies, selecting the best options to fit their business needs. Data Quality Strategy: Define and incorporate data quality strategies into daily work processes to ensure high standards and compliance. Job Qualifications Technical Skills: Proven experience in data engineering and system design, with a focus on building Big Data architecture and data pipelines within distributed systems. Deep knowledge of data modeling and hands-on experience with modern data engineering tools and platforms. Strong programming skills, with expertise in building scalable, high-quality data pipelines using languages like Python, Java, Scala, or others. Experience with distributed storage platforms (e.g., Hadoop, Amazon S3, etc.) and distributed processing platforms (e.g., Spark, Flink). Experience working with SQL, NoSQL, data lakes, and other data storage technologies. Familiarity with data visualization techniques and ability to communicate insights effectively across varying audiences. Professional Skills: Stakeholder Management: Strong ability to liaise between clients and other key stakeholders, ensuring trust and buy-in throughout projects. Adaptability & Resilience: Comfortable handling ambiguity and finding innovative solutions to complex challenges. Leadership & Mentorship: Experienced in coaching and mentoring team members, fostering a culture of professional growth and accountability. Risk & Conflict Management: Skilled in managing risks and resolving conflicts, driving projects forward despite challenges. Relationship Building: Natural at cultivating strong relationships with clients, stakeholders, and internal teams to create new opportunities. What You Bring to the Team Leadership: A proven track record in leading high-performance teams and supporting colleagues in their professional development. Curiosity & Innovation: A passion for data and technology and a willingness to continually learn and push the boundaries of what's possible. Collaboration: Ability to work closely with cross-functional teams and stakeholders to design and implement innovative data solutions. At ThoughtWorks, we believe in giving you the autonomy to carve out your unique career path, while providing support through development programs and a vibrant culture of learning. You ll work on exciting projects with a diverse team, solve complex challenges, and make an impact at a global scale. Join ThoughtWorks and be part of a global community of innovators. Together, we turn curiosity into action and creativity into impactful solutions.

Job Title: Principal Cloud Development Engineer Location: Bengaluru, India About Cloud Software Group: Cloud Software Group (CSG), home to Citrix and TIBCO, is one of the largest global providers of cloud-based technologies, empowering over 100 million users worldwide. As a Principal Cloud Development Engineer, you will play a pivotal role in shaping the future of Desktop-as-a-Service (DaaS) solutions helping deliver secure, scalable, and intelligent platforms that drive modern work experiences from anywhere. We re entering an era of accelerated innovation and transformation now is the perfect time to bring your technical leadership, cloud expertise, and mentorship mindset to the forefront. About This Team: The DaaS team at CSG is responsible for designing and building scalable and resilient cloud-native microservices that power Citrix s core virtualization offerings. This team collaborates across product, architecture, operations, and customer success groups to build next-gen capabilities on Azure, AWS, and other hybrid environments. Your Role and Responsibilities: As a Principal Cloud Development Engineer, you will be expected to: Lead design and architecture discussions for cloud-native solutions within the Citrix DaaS product line. Drive the development of scalable and secure backend features, with emphasis on business logic, cloud security, and performance. Mentor junior and senior engineers, guiding them in coding best practices, design decisions, and technical growth. Collaborate with Product Managers, UX Designers, Support, and Site Reliability Engineers to build customer-centric features and maintain high service uptime. Contribute to strategic technical initiatives, including the adoption of Gen AI tools, DevSecOps automation, and performance tuning of production systems. Participate in on-call escalation support, helping debug complex issues and lead incident resolution. Promote a culture of continuous learning and improvement through code reviews, technical sessions, and post-incident analysis. Required Experience and Skills: 14+ years of experience in cloud software development using .NET (C#), Java, or equivalent Object-Oriented Programming languages. Strong computer science fundamentals (algorithms, data structures, systems design). Proven track record in building and leading cloud-native microservices with modern deployment practices (CI/CD, IaC, Kubernetes, Docker). Strong cloud platform expertise, especially in Microsoft Azure or Amazon EC2. Deep understanding of cloud security, including identity/access management, encryption, compliance, and incident response. Advanced knowledge in automation scripting (Python, PowerShell). Familiarity with troubleshooting tools like Sumo Logic, Splunk, or equivalent observability platforms. Experience with Terraform, CI/CD pipelines, and managing Kubernetes-based deployments. Strong communication, collaboration, and mentoring abilities. Preferred Qualifications: Prior experience building secure services in the DaaS, VDI, or enterprise SaaS domain. Hands-on experience with Azure Active Directory, Microsoft AD, or other identity solutions. Moderate understanding of cryptographic protocols and encryption standards. Familiarity with Agile/SAFe development methodologies. Contributions to open-source or technical publications are a plus. Impact: Influence the architecture and direction of mission-critical cloud platforms used globally. Mentorship: Be a technical leader shaping the next generation of engineers. Innovation: Work with a company at the edge of a "Cambrian leap" in cloud evolution. Culture: Inclusive, forward-thinking, and driven by curiosity and collaboration. Flexibility & Benefits: Competitive salary, performance bonus, flexible work model, health insurance, wellness programs, and more. Equal Opportunity Statement: Cloud Software Group is committed to Equal Employment Opportunity and prohibits unlawful discrimination of any kind. All qualified applicants will receive consideration without regard to race, color, religion, gender, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law.

Job Summary We are looking for a motivated Remote Delivery Engineer to join our 24x7 Storage operations team and service our Cloud and Managed Services Customers. You will provide support to our customers by responding to incidents, working on service requests, problem management, and storage infrastructure improvements. Experience in supporting a varied clientele is essential, as is a strong understanding of NetApp storage-based technologies. To be successful in this role, you would need to have the following: Experienced in NetApp Storage (deploying and administering NetApp Storage primarily ONTAP, troubleshooting performance issues, performing firmware and operating system upgrades, using Storage management and OnCommand tools, managing storage/backup integration with NetApp Data Fabric technologies). Proficient understanding of NetApp Storage concepts, related management tools, and related Storage technologies, including monitoring and troubleshooting, administration, replication technologies, security hardening, and performance tuning. Experience or knowledge in other NetApp technologies like CVO, StorageGRID, E-Series, CVS, Cloud Backup, Cloud Secure, Cloud Sync, Cloud Datasense & Amazon FSx for ONTAP would be highly regarded. Experience with any automation tools would be preferred. Job Requirements Strong understanding of Storage protocols and technologies (CIFS, NFS, iSCSI, Fibre Channel switching and networks). Knowledge in ITIL methodologies: change, incident, problem, and configuration management. Certification is desirable. Understanding of managed services delivery and cloud certifications is desirable. A thorough understanding of other components in the infrastructure stack compute, virtualization, and networks (NetApp/Cisco FlexPod architecture, Cisco UCS platform, IBM Blade Center, System X, VMWare vSphere, Microsoft Operating Systems and Applications, Commvault). Working knowledge of monitoring platforms, WANs, SANs, backup, and disaster recovery platforms. Windows server, Linux server, and related Operating Systems technologies, including monitoring and troubleshooting, administration, replication technologies, security hardening, and performance, would be advantageous. Experience in writing basic PowerShell/Python scripts would be beneficial. Understanding of managed services delivery and any of the cloud certifications (AWS, Google Cloud, and Microsoft Azure) is highly desirable. Good to have Associate-level cloud certifications like AWS Certified Solutions Architect Associate, Google Associate Cloud Engineer, Azure Administrator. Good to have NetApp Cloud-based Certifications like Hybrid Cloud Administrator (NCHCA). Strong customer communication and documentation skills. Built and maintained strong relationships with internal and external stakeholders. Infrastructure design, build, deployment, and disaster recovery testing. Positive, proactive, team-oriented attitude with a flexible and innovative approach to work. Working knowledge of containers and microservices concepts. Experience in tools and technologies like OpenShift, Kubernetes, and Ansible would be beneficial. Education Typically requires a minimum of 8-10 years of related experience with a bachelor s or any master s degree or equivalent combination of professional education/training and applicable work experience. Work Environment At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.

Backend Engineer About the Role We are looking for a talented Backend Engineer to join our team and work in a fast-paced environment, tackling complex challenges. You will be responsible for building and maintaining scalable and efficient backend systems. If you are passionate about solving global problems and want to work with some of the most experienced software architects, this is the perfect opportunity for you. What Makes You a Great Fit Strong fundamentals in Computer Science, along with excellent programming skills. Proficiency in one or more backend programming languages such as Scala, Java, Python, Go Lang, or Node.js. Experience with TDD (Test-Driven Development) and understanding Design Patterns. Strong knowledge of algorithms, data structures, and problem-solving techniques. Experience with Django and Flask for building robust backend systems. Familiarity with Amazon Web Services (AWS) or Google Cloud Platform (GCP). Experience with at least one SQL-based database (e.g., PostgreSQL, MySQL) and one NoSQL-based database (e.g., MongoDB, Cassandra). What You Get Invaluable opportunities to solve global problems with your skills and talents. Work with some of the most experienced software architects in the Indian IT industry. Mentorship from industry experts, allowing for both professional and personal growth. Exposure to cutting-edge technologies and the chance to make a significant impact in your field.

The Sales Engineer will work hand-in-hand with Sales, Product, Engineering, and Marketing, and will be responsible for providing technical expertise to make Snowflake customers successful. The sales engineer will have a broad range of skills and experience ranging from data architecture to ETL/ELT, data science, security, performance analysis, analytics, etc. You will have the insight to make the connection between a customer s specific business problems and Snowflake s solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. The Sales Engineer has the willingness to jump in and do what it takes to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving technologies for data and analytics in order to be an authoritative resource for both Snowflake and customers. You will work collaboratively with a broad range of people, both inside and outside the company. RESPONSIBILITIES: Present Snowflake technology and vision to executives and technical contributors at prospects and customers Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake s products and marketing Be an advocate and develop mutual trust with the technical audience on the customer side MINIMUM REQUIREMENTS: Minimum 10-12 years of experience working in customer facing sales engineering (tech pre-sales) role Strong competency on modern data stacks, ETL/ELT, data warehouse/lake, data science and data apps Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Hands-on expertise with SQL Python knowledge would be a bonus! STRONGLY DESIRED: Data Science knowledge and experience University degree in computer science, engineering, mathematics or related fields, or equivalent experience Software development experience with Java, Spark and other scripting languages Extensive knowledge of and experience with large-scale database technology (e.g. Netezza, Exadata, Teradata, Greenplum, Hadoop etc.) and cloud data platforms Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events Sound understanding and experience in the Indian market and technology ecosystem ADDED BONUS FOR: Strong Data Science/AI/ML experience across a variety of platforms Familiarity and experience with common BI and data exploration tools (e.g. Tableau, PowerBI, Metabase etc) Cloud Provider Experience - Amazon AWS, Microsoft Azure, and Google Cloud Experience using AWS or Azure native services such as AWS S3, AWS Glue, AWS SageMaker or Azure Blob Storage, Azure Data Factory, Azure Database Migration Services OLAP Data modeling and data architecture experience Experience selling enterprise SaaS software Proven success at enterprise software start-ups Snowflake is growing fast, and we re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. Qualification : University degree in computer science, engineering, mathematics or related fields, or equivalent experience

Job Title: Support Engineer Location: Bengaluru Company: Loadshare Networks About Loadshare Networks At Loadshare, we re building India s largest intra-city logistics marketplace. Founded in 2017, we re a Series C startup backed by leading investors such as Tiger Global, Matrix Partners, BII, Stellaris, BeeNext, and Filter Capital. Our platform supports a wide range of intra-city logistics operations, including: Quick Commerce: Blinkit, Zepto, BBNow Food Delivery: Swiggy, Zomato Hyperlocal: Apollo, Licious Grocery: Reliance, Spencers, ONDC eCommerce: Flipkart, Amazon, Meesho, ShipRocket Bike Taxi: Uber, Ola Scale & Reach: 500,000+ daily last-mile deliveries across 500+ towns 20,000+ active delivery partners 1M+ shipments daily via our proprietary supply chain SaaS platform Role Overview We re looking for a skilled Support Engineer to join our Bengaluru team. You ll be the first point of contact for resolving customer issues, analyzing technical problems, and collaborating closely with the engineering and product teams to ensure a smooth, high-quality user experience. This role is ideal for someone who enjoys problem-solving, has strong technical aptitude, and communicates clearly with internal and external stakeholders. Key Responsibilities Troubleshoot and resolve user-reported issues on web and Android platforms. Collaborate with product and engineering teams to handle technical escalations. Conduct root cause analysis and assist in identifying long-term fixes. Manage tickets and user requests using support tools such as Freshdesk or Zendesk. Document known issues and resolutions to improve the support knowledge base. Perform data analysis using SQL and Excel to support incident investigation. Support implementation and onboarding efforts for clients as needed. Proactively suggest product or process improvements based on user feedback. Requirements 2+ years of experience in a technical support role, preferably in a B2B SaaS environment. Strong skills in SQL, database management, and Microsoft Excel. Hands-on experience with customer support tools like Freshdesk, Zendesk, or similar platforms. Prior experience supporting cloud-based applications and Android apps. Excellent troubleshooting and problem-solving skills. Strong verbal and written communication in English and Hindi. Ability to clearly articulate issues, root causes, and solutions to both technical and non-technical audiences. Experience in stakeholder engagement, customer success, or relationship management is a plus. Key Skills SQL, Databases, Excel Problem Solving & Root Cause Analysis Freshdesk / Zendesk / Support Platforms Cloud & Android Application Support Customer Service & Relationship Management Gap Analysis & Stakeholder Communication

IBM India Systems Development Lab is looking for Software Engineer / Developer to be integral part of a team responsible for Product Development/testing of PowerVC Platform on Power. The product is built on the Openstack cloud computing platform using Python. In addition, there is an opportunity to work on several OpenSource communities and front end/back end development as well. Your role and responsibilities As a python cloud development engineer you will Design, development and test Power Private Cloud software. Able to understand the architecture and turn the requirements into high level and low level designs Active open source contributions and participation and open source tools knowledge is preferred Software development in Cloud Domain, OpenStack, Virtualization, Linux OS Internals, Networking / Storage/ Security / Infrastructure as a Service is preferred Understanding of any cloud based virtualization software [GCP, Azure] and Openstack concepts. Work with OpenSource community and contribute towards open source development / Testing. Good understanding and hands on with full stack cloud development is preferred. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in the IT industry 4+ years of experience working as a developer well versed with feature enablement on private/public cloud platforms or in an equivalent role supporting partners and enterprises 4+ years of experience with solutions development or implementation in Unix or Linux environments using python programming language. 2+ years of experience working with Ansible [ Nice to have ]. Proficient in Python programming and scripting experience and Openstack concepts. Experience working in Open Source communities is a big plus. Proven experience architecting, designing, and developing complex customer solutions in a rapidly evolving technology domain Ability to perform customer-facing activities in a fast-paced environment with short timeframes Experience with concepts of Openstack cloud computing platform. Ability to uncover business challenges and develop custom solutions to solve these challenges Working knowledge of object-oriented design and design patterns applicable to modern software development Applied knowledge of working with agile, scrum, and DevOps teams Clear understanding of cloud service and deployment models Comfortable working with highly distributed teams, including interaction with open source communities Ability to study on your own, learn quickly, and put new knowledge into practice Any commercial experience with technologies like Openstack, virtualization and public cloud services, e.g., Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) Ability to quickly learn new technologies, frameworks, and techniques; ability to facilitate technical conversations within your team and with external stakeholders Keen interest contributing to and building communities in open source Ability to work both on your own and as part of an agile team. Preferred technical and professional experience Hands-on experience on Openstack based clouds, basic concepts of virtualization, strong with Python programming, automation using Ansible Qualification : Bachelor's Degree

DevOps Engineer Location: Chennai Work Type: Full Time About Tazapay Tazapay is a global cross-border payments service provider, enabling businesses to collect payments locally in 70+ markets through local payment methods, virtual accounts, and cards. With Tazapay, merchants can expand internationally without setting up local entities, supported by our compliance framework that handles regional regulations and requirements. This approach delivers lower transaction costs, transparent FX, and higher authorization rates, empowering businesses to scale globally with ease. Tazapay is licensed across multiple jurisdictions and backed by leading global investors. This is a unique opportunity to join an amazing team right before our next stage of rapid expansion. At Tazapay, you ll: Build meaningful systems from the ground up See your work directly impact thousands of global users Collaborate with world-class teams across Engineering, Product, Sales, Marketing, Finance, and more Be part of a culture that values openness, innovation, and shared memories Ready for the ride? Come discover what you can create with us. About the Role We are looking for a DevOps Engineer who is passionate about automation, simplicity, and building scalable infrastructure. You ll help design, implement, and maintain core cloud platforms and CI/CD pipelines that power Tazapay s global payment products. You will work across cloud infrastructure, observability, security, deployment automation, and microservices helping to enable fast, reliable, and secure delivery of new features. Requirements Must Have Education & Mindset Degree in Computer Science, Software Engineering, IT, or equivalent experience Strong curiosity about how things work Passion for learning new technologies and improving systems Obsession with automation, simplicity, and elegant engineering Ability to jump into new situations with minimal structure and improve processes Technical Skills Extensive hands-on experience with AWS services Strong familiarity with at least one programming/scripting language (Python, Go, or Shell) Experience with Load Balancing and API Gateway Basic understanding of REST or gRPC & Protocol Buffers Understanding of Kubernetes and Cloud Native technologies Experience with CI/CD tools such as GitHub Actions or Jenkins Infrastructure as Code experience: AWS CDK, CloudFormation, Terraform Familiarity with observability stacks: OpenTelemetry, Prometheus, Grafana Experience working with containerization tools like Docker Experience managing RDBMS/NoSQL systems (Postgres, MongoDB) Background in microservice architecture Experience with configuration management tools Strong understanding of OS fundamentals, especially Linux Nice to Have Prior startup experience Familiarity with AWS data engineering services (DMS, Glue, Athena, Redshift, QuickSight) Experience working with geo-distributed teams AWS Cloud Certifications Basic security knowledge (OWASP, static code analysis) Experience with fintech security and compliance standards (PCI-DSS, SOC 2) Qualification : Degree in Computer Science, Software Engineering, IT, or equivalent experience

NVIDIA is seeking a passionate, highly motivated, and creative ASIC Design Engineer to design and implement PCI Express controllers for the world s leading SoCs and GPUs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as the AI computing company. What you ll be doing: Own the micro-architecture and RTL development of design modules for PCI Express Controllers. Micro-architect features to meet performance, power and area requirements. Work with HW and system architects to define critical features. Help verification teams to verify the correctness of implemented features. Collaborate with timing, VLSI and Physical design teams to ensure design meets timing, interface requirements and is routable. Enable FPGA and software teams to prototype the design and ensure that software is tested. Work on post-silicon verification and debug. What we need to see: BS / MS or equivalent experience. 3+ years of design experience. Experience in micro-architecture and RTL design of complex units. Exposure to design and verification tools (VCS or equivalent simulation tools, debug tools like Debussy, Verdi). Deep understanding of ASIC design flow including RTL design, verification, logic synthesis, prototyping, DFT, timing analysis, floor-planning, ECO, bring-up & lab debug. Expertise in Verilog. Ways to stand out from the crowd: Design experience in High Speed IO controllers like PCI Express. Good knowledge of PCI Express Protocol - Gen 3 and above. Good debugging and problem solving skills. Scripting knowledge (Python/Perl/shell). Good interpersonal skills and ability & desire to work as a teammate. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-Hybrid Qualification : BS / MS or equivalent experience.

We are seeking a highly skilled and motivated Python and AWS Automation Engineer to join our dynamic team. In this role you will be responsible to automate infrastructure , deployment, and operational tasks using Python/C# and AWS services. Will play a critical part in developing and optimizing our cloud based analytics, streamlining workflows, and enhancing validation efficiency. As a key member of the automation team, expected to work closely with DevOps, engineering, and validation teams to implement scalable and reliable automation solutions for various WiFi features and validation processes. You will also be instrumental in integrating AWS services, creating efficient scripts, and ensuring seamless automation of cloud-based resources and services. Qualifications Key Responsibilities:* Design, develop, and maintain Python/C#-based automation scripts to process data to develop meaningful analytics for validation using AWS resources. * Leverage AWS services (such as Kubernetes) to automate processing for data analytics* Develop automation scripts and libraries for WiFi features* Collaborate with DevOps engineers to integrate automation processes into CI/CD pipelines (e.g., Jenkins)* Monitor and troubleshoot automation workflows to ensure they are running smoothly and efficiently.* Follow guidelines on best practices for cloud automation, scalability, security, and cost optimization in AWS.* Participate in the design and implementation of logging, monitoring, and alerting systems using AWS CloudWatch and other monitoring tools.* Develop and maintain detailed documentation for automation scripts, processes, and AWS configurations.* Ensure adherence to security best practices and compliance standards for cloud-based applications and infrastructure.Required Skills and Qualifications:* Proven hands on experience in Python and C# programming, with a focus on automation and cloud services.* Hands-on experience with AWS services, including Kubernetes* Strong understanding of cloud infrastructure and best practices for automating, scaling, and monitoring.* Experience in integrating automation with CI/CD pipelines and using tools like Jenkins* Knowledge of containerization and orchestration technologies such as Docker, Kubernetes, and ECS.* Hands on experience with automation using rest APIs and UI automation* Familiarity with version control systems (e.g., Git) and Gerrit* Strong problem-solving and troubleshooting skills.* Ability to work independently and collaborate effectively within a cross-functional team.* Excellent written and verbal communication skills.Domain Knowledge1. Hands on Experience in configuring/handling automation setups with different topologies2. WiFi Experience - Usage / Configuring of WiFi sniffer / Attenuator / Access Point will be helpful3. Fair understanding about test engineering skills, Validation Methodologies, Debugging techniquesSoft skills:1. Ability to work independently and collaborate effectively within a cross-functional team.2. Good written and verbal communication skills.3. Quick learning of new technologies4. Stakeholder management Inside this Business Group The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth. Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.It has come to our notice that some people have received fake job interview letters ostensibly issued by Intel, inviting them to attend interviews in Intel s offices for various positions and further requiring them to deposit money to be eligible for the interviews. We wish to bring to your notice that these letters are not issued by Intel or any of its authorized representatives. Hiring at Intel is based purely on merit and Intel does not ask or require candidates to deposit any money. We would urge people interested in working for Intel

Position: Staff Software Engineer Technology Location: Pune, Maharashtra, India Our Mission: Healthcare should work for patients, but it doesn t. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable. Zocdoc s mission is to give power to the patient. To do that, we ve built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down. We re 17 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on. Your Impact on Our Mission: We are looking for a Staff Software Engineer to join our product engineering team at Zocdoc! As an SSE at Zocdoc, you ll balance individual contribution with mentorship. Full Stack Engineers have the opportunity to work across the stack, front to back and everything in between. You ll take ideas from inception to reality by rapidly building prototypes, iterating and releasing them. You ll build scalable products that make the healthcare experience for patients, providers, and Zocdocr s simpler, safer, and more efficient. You ll enjoy this role if you are Passionate about building fully scalable platforms with the latest technologies A product-driven engineer who loves working in a highly collaborative and supportive environment Motivated by building products that make healthcare easier Excited to use technology to enhance the consumer experience Passionate about building diverse and inclusive teams and culture Excited to lead projects and be a mentor for other engineers Your day-to-day is Contributing to the end-to-end development of consumer-facing applications Building products designed to scale quickly like new patient interactions, real-time video visits and new functionality that helps doctors optimize their Zocdoc experience Shipping efficient and scalable code to millions of users autonomous Driving cross-functional collaboration to solve complex problems and foster a culture of openness, Collaborating with our agile team of dedicated and brilliant engineers, product managers, and designers. You will partner with the product and design teams to develop product improvements Making a meaningful impact as you own and release features in our CI environment that will impact patients, doctors, and Zocdocr s alike Mentoring your peers, with the notion that helping others means learning and growing yourself Leading the successful delivery of high-impact projects and features, aligned with technical and business goals You ll be successful in this role if you have Passion for technology and the ability to think critically about the performance, scalability, and reliability of software Implemented fast and efficient software solutions using object-oriented functional languages. Some of the technologies we utilize are React, C#, Scala, and Node.js, however, we are language agnostic Designed and built user-facing web applications that scale 8+ years of professional full-stack development experience. Knowledge of React and C# is a plus as is experience writing automated tests Successfully mentored other engineers in the past and encouraged your peers to use software development best practices for code testing and deployment Benefits: An incredible team of smart and supportive people A competitive compensation package, including attractive medical insurance Amazing perks think catered lunch every day, Ping Pong, etc. Daycare reimbursement The chance to create a better healthcare experience for millions of patients! Corporate wellness programs with Headspace Cellphone and wifi reimbursement Competitive parental leave Sabbatical leave (over 5 years) Annual sponsored health check-ups Sponsored counseling and therapy via Betterlyf Competitive PTO Zocdoc is certified as a Great Place to Work 2022-2025 About Us: Zocdoc is the country s leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc s Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world s leading investors, and we believe we re still only scratching the surface of what we plan to accomplish. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We re an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender...

About Nutanix At Nutanix, we believe in being Hungry, Humble, Honest, with Heart core values that define who we are and how we work. We push boundaries, put our customers first, and collaborate to solve the toughest technical challenges in innovative ways. The Opportunity Join a team of highly talented engineers spread across different geographies and experience levels. In this role, you'll work on cutting-edge technology, mentor rising talent, and help shape the future of our products. The most successful candidate will: Constantly improve the product by learning from customer feedback and exploring beyond existing technologies. Devise data-backed solutions with solid research and evidence. Communicate effectively with a geographically diverse audience, using strong writing and presentation skills. Engage in design discussions beyond your comfort zone, learning and growing on the go. Mentor junior engineers, nurturing their curiosity and encouraging growth. Assist with customer escalations when needed, reflecting our commitment to putting customers first. Collaborate with open-source communities, contributing product improvements to community projects. About the Team You ll be reporting to Prerna Saxena, our Senior Engineering Manager who has been with Nutanix since 2015. Prerna leads a supportive and collaborative team of 9 engineers, dedicated to helping each other grow and succeed. What the Team Says: "The team is an amazing group to work with supportive, collaborative, and all-around awesome. You'll find yourself fitting right in and enjoying the camaraderie and teamwork." How We Work: We operate in a hybrid work environment, with in-person team meetings twice a week to brainstorm, connect, and stay aligned. This balance of remote flexibility and in-office collaboration creates a dynamic and productive environment. Your Role As a Senior Software Engineer, you will: Apply rock-solid OS/systems fundamentals to drive design and implementation. Debug and write low-level code for hardware architectures, preferably x86. Write and maintain enterprise-quality code. Use top-down thinking to break down abstract concepts into actionable tasks. Deliver features with proven experience in building scalable, reliable enterprise software. What You Bring Bachelor s or Master s degree in Computer Science or equivalent. 8+ years of experience building enterprise-grade software. Strong knowledge of x86 virtualization and the KVM stack. Experience with Linux kernel/virtualization stack is a big plus. Proven track record of feature delivery in large, complex projects. Work Arrangement Hybrid: This role blends the flexibility of remote work with the advantages of in-person collaboration. Most roles require 2 3 in-office days per week, but specific team norms may vary. Qualification : Bachelor's/Masters degree in Computer Science or equivalent.

We are seeking a skilled AWS Redshift Developer to join our team and help us optimize our data warehousing and analytics capabilities. Roles & Responsibilities: Design, develop, and maintain data models and ETL processes in Amazon Redshift. Write complex SQL queries and optimize performance for data retrieval and reporting. Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions. Implement best practices for data governance, security, and performance tuning in Redshift. Monitor system performance and troubleshoot any issues that arise. Create and maintain documentation for data models, ETL processes, and system architecture. Stay updated with the latest AWS services and features to enhance data management and analytics capabilities. Requirement: 3+ years of experience in data warehousing and analytics, with a strong focus on AWS Redshift. Proficient in SQL and experience with ETL tools (e.g., AWS Glue, Apache Airflow). Familiarity with data modelling concepts and methodologies. Experience with AWS services such as S3, Lambda, and EC2. Strong analytical skills and attention to detail. Excellent communication and collaboration skills. AWS certifications (e.g., AWS Certified Data Analytics - Specialty). Knowledge of other AWS data services (e.g., RDS, DynamoDB). Experience with BI tools (e.g., Tableau, Power BI) for data visualization. Qualification : 3+ years of experience in data warehousing and analytics, with a strong focus on AWS Redshift.