Stream Processing Jobs in Bengaluru

Trade Operations Associate FalconX Location: Bangalore Experience: 4 8 Years Education: Any Graduate About FalconX FalconX is a pioneering team of operators, investors, and builders transforming institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX simplifies the complex and fragmented digital asset ecosystem. Our platform enables seamless access, liquidity, and tools for institutional clients to execute strategies from start to scale. Role Overview As a Trade Operations Associate, you will be a key point of contact for trade settlements and operations, ensuring accurate, timely, and compliant processing of trades across internal and external systems. You will collaborate closely with Trading Desk, Product, Customer Success, Treasury, Accounting, Risk, and Compliance teams to deliver a smooth operational workflow in a fast-moving market. Key Responsibilities Handle all incoming counterparty settlement requests within agreed timeframes and manage a portfolio of counterparties. Collaborate with Trading Desk, Product, and Customer Success teams to understand and deliver on client needs. Reconcile trades, transfers, and inventory across internal subsystems and external entities such as banks and custodians. Monitor daily inventory requirements for settlement, lending, and borrowing activities, liaising with Treasury. Support Compliance and Risk teams in designing effective controls in a rapidly evolving regulatory landscape. Adhere to established trade operations processes to ensure regulatory compliance. Provide accurate trade and settlement data to Accounting and ensure timely reporting. Perform reconciliations between internal and external systems, identify breaks, and resolve issues. Continuously improve reconciliation processes, identify gaps, and implement solutions for data integrity. Requirements 4 8 years of experience in a trading firm, hedge fund, or investment bank. Strong self-management skills; comfortable organizing work with checklists and tracking progress. Experience working in fast-paced, high-pressure environments. Ability to multitask, prioritize, and manage critical day-to-day functions. Desire to gain expertise in digital assets such as Bitcoin and Ethereum. Willingness to understand the full lifecycle of institutional crypto trading operations. Serve as the first point of contact for trade settlements and operations. Gain exposure to multiple functions in a complex, dynamic market. Contribute to robust processes that ensure operational accuracy, compliance, and efficiency. Be part of a pioneering team shaping the infrastructure for institutional digital asset trading. Qualification : Any Graduate

MTS - Software Developer (Cloud AI Network Security Developer) Location: Bengaluru Company: Aviatrix Experience: 1 3 years About Aviatrix: Aviatrix is a cloud network security leader trusted by over 500 enterprises. We specialize in securing multi-cloud environments, offering runtime protection and advanced control for modern cloud infrastructures. Role Strategy & Impact In this role, you will build next-generation intelligent cloud network security solutions. You will focus on developing Python/Go microservices that fuse network visibility with LLM-driven insights to redefine cloud firewall capabilities. Technical Requirements Core Competencies: Development: Professional experience in Go (Golang) or Python. Cloud Networking: Fundamentals of Routing, NAT, VPNs, and Subnets. Security: Understanding of Firewall concepts (ACLs) and Zero Trust architecture. AI Integration: Experience using AI/LLM APIs (OpenAI, Vertex AI, etc.). Data Infrastructure: Workflows involving Kafka, data ingestion, and stream processing. Cloud Ecosystem: Hands-on familiarity with AWS, Azure, or GCP. Preferred Qualifications: Network Observability: Experience with NetFlow, IPFIX, or VPC Flow Logs. Modern DevOps: Hands-on with Kubernetes, Container Networking, and Terraform. Generative AI: Knowledge of Prompt Engineering or RAG-based systems. Key Responsibilities Control Plane Development: Build services for firewall rules and policy orchestration. AI Workflows: Integrate LLM-based assistants for anomaly detection and alert summarization. Telemetry Pipelines: Maintain high-performance data pipelines for security event metrics. Security Logic: Design logic for threat pattern recognition and posture scoring. Benefits & Why Join Us Global Benefits: Private medical, pension, and life assurance. Work-Life Balance: Generous holiday allowance and annual wellbeing stipend. Growth Mindset: We value diverse paths if you are passionate about AI and Security, we want to hear from you.

Staff Engineer - Software Development (Cloud AI & Network Security) Location: Bengaluru Company: Aviatrix Experience Required: 7+ Years About Aviatrix: Aviatrix is a global leader in cloud network security, trusted by over 500 enterprises. We provide a specialized platform for securing multi-cloud environments, giving organizations the control and visibility needed to modernize their cloud strategies. Architectural Focus & Impact As a Staff Engineer, you will architect and deliver advanced AI-driven network security solutions. This role bridges the gap between Distributed Systems (Python/Go), Real-time Telemetry, and LLM-integrated automation to build self-learning, adaptive security infrastructures. Technical Expertise Core Software Engineering: Languages: Deep proficiency in Python and Go (Golang). Distributed Systems: Mastery of Kubernetes, Microservices, and high-scale observability (Prometheus, ELK). Data Pipelines: Experience with real-time stream processing using Kafka, Flink, Kinesis, or Pub/Sub. Networking & Security Domain: Cloud Infrastructure: Expert knowledge of VPC/VNet design, Routing, Load Balancers, and Overlays. Firewall Technologies: Hands-on with Deep Packet Inspection (DPI), NGFW/IDS/IPS, and Cloud-native firewalls (AWS, Azure, GCP). Security Frameworks: Alignment with Zero Trust, NIST CSF, and CIS Benchmarks. AI & Machine Learning Integration: Model Serving: Experience serving ML models via REST or gRPC. Generative AI: Familiarity with LLM integration, RAG (Retrieval-Augmented Generation), LangChain, and vector databases. Key Responsibilities System Architecture: Lead the design of cloud-native microservices for security control planes. AI-Driven Features: Integrate LLMs for Natural Language-to-Firewall Rule translation and automated incident summarization. Technical Leadership: Mentor junior engineers and set high standards through rigorous Design and Code Reviews. Cross-Functional Collaboration: Partner with Data Scientists and Cloud Networking teams to deliver production-grade AI features. Benefits & Why Join Us Regional Package: Comprehensive pension, private medical coverage, and life assurance. Wellbeing: Annual wellbeing stipend and generous holiday allowance. Growth Culture: We value unique career paths and prioritize candidates who are passionate about the intersection of AI and Security.

Lead/Associate Manager Case Processing 1 Location: Bengaluru Employment Type: Full-Time About the Role We are seeking a dynamic and experienced Lead/Associate Manager Case Processing to join our Pharmacovigilance team in Bengaluru. This role requires deep domain knowledge, leadership capability, and hands-on experience in handling Individual Case Safety Reports (ICSRs) across various sources. The ideal candidate will be responsible for managing day-to-day operations, ensuring compliance with global regulatory requirements, and mentoring a team of case processors. Key Responsibilities Operational Oversight Oversee and ensure the timely processing of ICSRs in accordance with SLA/KPI metrics. Allocate tasks effectively across the team to meet project deliverables and workload requirements. Proactively monitor team performance and work closely with team members to resolve operational or domain-related challenges. Risk & Issue Management Identify, escalate, and mitigate risks related to deliverables, compliance, or resourcing. Serve as a point of contact for internal stakeholders and clients regarding operational queries or escalations. Team Leadership & Performance Management Conduct regular performance evaluations, provide constructive feedback, and support career development of team members. Guide and mentor the team and Subject Matter Experts (SMEs) in ICSR processes, compliance standards, and MedDRA coding. Support functional capability development within the team and leadership pipeline. Training & Quality Assurance Conduct process and project-specific training as needed to ensure team competence and readiness. Ensure adherence to quality standards by contributing to quality system documentation, SOPs, and procedural updates. Provide feedback and suggestions to strengthen client/internal workflows and ensure continuous improvement. Process Improvement & Strategic Contribution Suggest and implement process enhancements to improve efficiency, accuracy, and compliance. Contribute to the development of scalable and sustainable pharmacovigilance processes. Collaborate cross-functionally to support strategic goals and business growth initiatives. Required Experience & Knowledge In-depth understanding of ICH-GCP, GVP modules, 21 CFR, and relevant global regulatory requirements. Proven expertise in managing high-volume ICSR workloads, including serious, non-serious, and potentially serious reports. Experience processing ICSRs from diverse sources: spontaneous, literature, solicited, regulatory authorities, and clinical trials. Exposure to therapeutic areas such as rare diseases and oncology is highly desirable. Experience in literature screening and review would be an added advantage. Proficient in MS Office applications (Excel, Word, Outlook, PowerPoint). Candidate Profile Education: Master s degree in Life Sciences, Pharmacy, or Medicine (or higher), aligned with project requirements. Experience: 10 12 years of relevant experience in pharmacovigilance, case processing, or related functions. Strong leadership skills with a proven ability to train, mentor, and manage cross-functional teams. Demonstrated ability to allocate resources, manage competing priorities, and maintain high-quality standards. Proactive, process-driven mindset with a commitment to continuous improvement and regulatory compliance. Work with a global leader in drug safety and pharmacovigilance services. Lead high-performing teams and contribute to the delivery of impactful healthcare solutions. Be part of a collaborative environment that values innovation, learning, and operational excellence. Apply now to lead meaningful work that impacts patient safety around the world. Qualification : Masters degree in Life Sciences, Pharmacy, or Medicine (or higher), aligned with project requirements

Job Title: Lead / Senior Software Engineer (Microservices, IoT, Kafka, AWS) Location: Bengaluru Experience Required: 5 8 years Industry: Automotive (Electric Mobility) Employment Type: Full-time About Ultraviolette Join the Charge. Create the Future. At Ultraviolette, we re not just building electric vehicles we re redefining what mobility looks and feels like. From creating India s fastest electric motorcycle to designing the world s most advanced electric scooter, we're on a mission to engineer machines that are not only sustainable, but also exhilarating. Our team is a diverse mix of engineers, designers, dreamers, and doers, united by a bold vision to accelerate the global shift to electric mobility. If you're driven by innovation and looking to work on cutting-edge products that challenge the status quo, this is your platform to make a real impact. About the Role We are looking for a Senior/Lead Software Engineer who thrives in designing scalable, high-performance, and cloud-native microservices. This role is ideal for someone with hands-on experience in Java, Spring Boot, Kafka, and AWS, and a keen interest in IoT and real-time data architectures. You will work at the intersection of hardware and software helping us bring our vision of connected, intelligent, and high-performance electric vehicles to life. Key Responsibilities Design, develop, and deploy Java-based microservices using Spring Boot and related technologies. Architect and implement event-driven systems using Apache Kafka for real-time IoT data streaming. Build and manage RESTful APIs with AWS API Gateway for seamless service integration. Leverage AWS services such as Lambda, DynamoDB, and MemoryDB to build scalable, serverless solutions. Collaborate with cross-functional teams front-end developers, DevOps, and product managers to convert ideas into working features. Optimize application performance, troubleshoot issues, and ensure high reliability and availability. Mentor junior engineers, conduct code reviews, and enforce clean coding practices. Contribute to architecture decisions, technical roadmaps, and innovation initiatives. Stay on top of emerging technologies in cloud, microservices, and IoT ecosystems. Participate actively in Agile processes including sprint planning, stand-ups, and retrospectives. Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in Java development, with a strong foundation in Spring Boot. Proven experience designing and deploying microservices architectures. Strong knowledge of Kafka and real-time streaming/data pipeline architectures. Hands-on experience with Docker and Kubernetes for containerization and orchestration. Understanding of IoT protocols such as MQTT or CoAP and device connectivity. Proficiency with version control (Git) and Agile methodologies. Excellent problem-solving, communication, and collaboration skills. Nice to Have AWS Certifications (e.g., AWS Certified Developer or Solutions Architect). Experience with additional languages like Python or Rust. Familiarity with NoSQL databases such as MongoDB or Cassandra. Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (e.g., Terraform). Exposure to stream processing frameworks (e.g., Apache Flink, Spark Streaming). Experience in edge computing and distributed systems. Strong understanding of cloud security best practices. Work on India s most futuristic electric vehicles at the intersection of technology, performance, and sustainability. Be part of a mission-driven company shaping the future of mobility. Collaborate with some of the most talented engineers and designers in the industry. A fast-paced environment that celebrates innovation, learning, and growth. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

Manager Operations Location: Bengaluru Employment Type: Full-Time About the Role: We are looking for an experienced and forward-thinking Manager Operations to lead campus operations for Brookfield Properties in Bengaluru. The ideal candidate will bring over 10 years of experience in hospitality or real estate operations, with a proven track record of managing cross-functional teams, optimizing performance, and delivering best-in-class tenant experiences. As the operational lead for one or more campuses, you will oversee end-to-end property management, facilities operations, P&L oversight, vendor management, and customer-facing services. You will be expected to align operations with the Converge vision and drive strategic initiatives that enhance the campus environment, boost revenue, and ensure exceptional service delivery. Key Responsibilities: 1. Strategic Operations & Financial Management Develop and manage annual operating budgets; monitor P&L performance for campus/city-level operations. Work cross-functionally with leasing, marketing, tech, training, and transformation teams to execute activations and campus amenities. Lead cost optimization initiatives through preventative maintenance, energy management, and vendor negotiations. Explore new revenue streams through managed services, retail leasing, and partnerships. Support leasing of office and retail spaces in alignment with business plans. 2. Campus Operations & Experience Ensure seamless day-to-day campus operations in line with Converge standards. Implement strategies to enhance lobby, F&B, retail, and event experiences. Create and track SLAs, management reports, vendor agreements, AMCs, and compliance documentation. Conduct regular audits, walkthroughs, and cross-functional reviews to maintain high service and aesthetic standards. Plan and execute campus activations, including one marquee event annually. Partner with the marketing team to ensure alignment on all events and space-on-hire activities. Collaborate with procurement to ensure timely PO processing and vendor payments. 3. Team Leadership & Collaboration Lead campus teams including operations, F&B, tenant engagement, and event staff. Develop KPIs and implement SOPs to drive efficiency, service excellence, and staff performance. Champion a culture of continuous improvement, learning, and innovation. Guide onboarding/training of new staff across operational functions. Collaborate with corporate, city leadership, and transformation teams on strategic execution. 4. Tenant & Community Experience Work closely with tenants to enhance employee engagement and create a vibrant campus culture. Lead execution of tenant engagement surveys and act on feedback for service improvements. Support onboarding of tenants and amenities onto the Converge app and drive digital engagement. Design operational procedures to ensure consistent, high-quality tenant experiences. Encourage team involvement in delivering excellent customer care and personalized service. 5. Compliance, Safety & Sustainability Ensure adherence to fire safety, health, environmental, and legal compliance standards. Lead internal and external audits across all operational areas. Champion sustainability practices and social responsibility initiatives across the campus. Oversee maintenance and service infrastructure to ensure optimal functionality and safety. Who You Are: A strategic thinker with strong commercial acumen and customer-centric approach. A self-starter with the ability to lead autonomously and make sound business decisions. A strong communicator and collaborator who can manage multiple stakeholders and priorities. Resilient under pressure, detail-oriented, and driven to deliver high-impact outcomes. Passionate about elevating workplace experiences and building thriving communities. Preferred Qualifications: Bachelor's degree (minimum 3 years); specialization in Hospitality, Property, Facilities Management, or Business is preferred. 10+ years of experience in operations leadership within hospitality, real estate, or facilities sectors. Demonstrated success in leading large cross-functional teams. Strong client relationship management and vendor negotiation skills. Proven experience in driving operational excellence and process improvements. This Role Offers: The opportunity to lead operations at premier business campuses. Cross-functional exposure to marketing, leasing, digital products, and customer engagement. A high-impact role in shaping workplace experiences and community life across Brookfield campuses. Apply now to be part of a growing, dynamic team redefining the future of workspaces. Qualification : Bachelor's degree specialization in Hospitality, Property, Facilities Management, or Business is preferred

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Position: Snowflake Data Engineer Location: Remote/Hybrid | Bengaluru, IND What You'll Do: Design & Optimize Data Pipelines: Build and enhance data pipelines and workflows using Snowflake, Azure, and DBT for efficient data ingestion, transformation, and analytics. Boost Performance: Optimize query performance and data storage within Snowflake to ensure lightning-fast data processing and retrieval. Implement ETL/ELT: Design and implement robust ETL/ELT processes, fully leveraging Snowflake's powerful capabilities for data ingestion and transformation. Collaborate Cross-Functionally: Work closely with various teams to understand their data needs and deliver high-quality, scalable data solutions. Ensure Data Governance: Uphold stringent data security, compliance, and governance standards, including data privacy and regulatory requirements. What You'll Bring: Experience: 4-10 years in data engineering, with a minimum of 3 years directly with Snowflake. SQL Mastery: Expert-level proficiency in SQL, including advanced querying, performance tuning, and data modeling. Deep Snowflake Knowledge: In-depth understanding of Snowflake architecture, features, and best practices for optimization and data management. Data Warehousing: Strong grasp of data warehousing concepts and dimensional modeling. Microsoft Technologies: Familiarity with Microsoft SSIS, SSAS, and SSMS. IaC & CI/CD: Knowledge of Infrastructure as Code (IaC) tools like Terraform and experience with GitHub Actions for CI/CD. Workflow Orchestration: Experience with tools like Airflow for managing and automating data workflows. Problem-Solving & Communication: A proactive, positive attitude with excellent written and verbal communication skills. Education: Bachelor s degree in Computer Science, Information Systems, or a related field. Bonus Points If You Have: Migration Experience: Hands-on experience with SQL Server to Snowflake migrations, especially using Fivetran. DBT & Fivetran: Proficiency with the data build tool (dbt) for data transformation and Fivetran for data integration. Cloud Platforms: Knowledge of cloud platforms such as AWS, Azure, or GCP. Certifications: Relevant certifications like Snowflake SnowPro, AWS Certified Data Analytics, or Azure Data Engineer.

Position: Enquiry Processing Associate Marketing Department: Marketing Extension Location: Bengaluru Role Overview: We're looking for a responsive and detail-oriented Enquiry Processing Associate to manage incoming enquiries from Key Account Managers (KAM) through phone, email, and chat. This role involves accurately processing enquiries, providing product information, resolving issues, and collaborating across teams to ensure excellent customer service. Key Responsibilities: Respond promptly and professionally to enquiries from KAM via phone, email, and chat. Accurately process and document all enquiries in the company system. Provide clear and detailed information regarding products, services, and company policies to KAM on a daily basis. Resolve customer issues efficiently and escalate complex cases to the relevant departments or personnel. Maintain current knowledge of company products, services, and technologies. Work closely with other departments to ensure enquiries are addressed comprehensively and promptly. Generate, present, and analyze reports on enquiry trends to support continuous improvement. Qualifications & Skills: Bachelor s degree in Business Administration (BBA) or any other discipline. Excellent communication skills, both written and verbal. Strong attention to detail and organizational skills. Ability to work collaboratively in a team environment. Proficient in using communication tools and enquiry management systems. Qualification : Bachelors degree in Business Administration (BBA) or any other discipline.

Senior Associate Data Engineering L2 Location: Bengaluru, India Department: Engineering Data Employment Type: Full-Time About the Role As a Senior Associate Data Engineering (L2) at Publicis Sapient, you will lead technical solutions that drive digital transformation by building scalable, high-performance data platforms. You ll be responsible for translating business and technical requirements into modern, data-centric solutions using Big Data technologies, cloud services (Azure), and advanced data engineering practices. Key Responsibilities Design and implement data ingestion, integration, and transformation processes from multiple heterogeneous sources in both batch and real-time. Build scalable data platforms using Hadoop stack components such as HDFS, Kafka, Spark, Hive, NiFi, Oozie, Airflow, Flink, and Storm. Develop real-time analytics, aggregation, and search features to support various data-driven applications. Collaborate closely with cross-functional teams on data infrastructure, computation frameworks, and data visualization. Apply cloud-native principles and Azure services to build and deploy data pipelines. Ensure performance optimization and data pipeline tuning. Work with NoSQL and MPP platforms like MongoDB, Cassandra, Redshift, Azure SQL DW, HBase, BigQuery. Contribute to infrastructure, automation, and DevOps for data pipelines using CI/CD practices. Ensure data governance, lineage, and cataloging using tools like Collibra or Alation. Required Qualifications 6 8 years of professional experience in software/data engineering. Minimum of 3 years hands-on experience with Big Data technologies. Strong programming expertise in Java (preferred), Scala, or Python. Expertise in the Hadoop ecosystem and real-time stream processing tools (Kafka, Pulsar, Spark Streaming, etc.). Hands-on experience with Azure data services (e.g., Data Factory, Synapse, ADLS, Databricks). Experience working with modern ETL tools (Informatica, Talend, etc.) and traditional RDBMS platforms (Oracle, PostgreSQL, SQL Server, MySQL). Bachelor's degree in Computer Science, Engineering, or related field. Nice to Have Certifications in Azure Data Engineer, GCP Big Data, or related cloud specializations. Experience with distributed messaging frameworks (ActiveMQ, RabbitMQ, Solace). Familiarity with microservices architecture and search technologies (Elasticsearch). Performance tuning of distributed data processing systems. Exposure to data governance, security, and metadata management. Benefits and Culture at Publicis Sapient Gender-neutral workplace policies 18 paid holidays annually Generous parental leave + new parent transition support Flexible work arrangements Access to Employee Assistance Programs (wellness & well-being) A dynamic culture focused on learning, creativity, and collaboration Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

Job Title: Assistant Manager Process Design Location: Bangalore, India Employment Type: Full-time About Zeta Zeta is a Next-Gen Banking Tech company empowering banks and fintechs to launch modern, cloud-native financial products at speed and scale. Founded in 2015 by Bhavin Turakhia and Ramki Gaddipati, Zeta s flagship platform, Tachyon, is the world s first modern, API-first banking stack supporting issuance, processing, lending, core banking, fraud, risk, and more all under one roof. With over 15 million cards issued on its platform globally, Zeta partners with leading banks and fintechs to deliver digital-first experiences, hyper-personalized programs, and rapid product innovation. We are a global team of 1700+ employees, with more than 70% dedicated to R&D, and are backed by major investors including SoftBank and Mastercard, with a valuation of $1.5 billion. Role Summary Zeta is seeking a driven and analytical Assistant Manager Process Design to spearhead customer journey improvements and process automation. You will be responsible for transforming customer-facing processes to enhance user experience, improve operational efficiency, and contribute to strategic initiatives across Product, Engineering, and Operations teams. Key Responsibilities Process Automation & Transformation: Identify improvement areas, create transformation roadmaps, and implement automation strategies to enhance service delivery. Customer Journey Mapping: Design chatbot flows and other digital experiences to ensure seamless, intuitive customer interactions. Continuous Improvement: Evaluate and re-engineer existing workflows to increase First Time Resolution (FTR), reduce Average Handling Time (AHT), and drive CSAT. Monitoring & Proactive Support: Establish early-warning systems and collaborate cross-functionally to prevent and address service issues. Voice of Customer (VOC): Build robust VOC mechanisms by analyzing feedback from email, chat, NPS, social media, etc., to drive actionable improvements. Strategic Initiatives: Lead cross-functional initiatives with Product, Engineering, and Business Ops to elevate customer experience and operational excellence. Project Reporting: Deliver timely and detailed project updates and reports to stakeholders and leadership. Skills & Competencies Experience in Process Design, Process Excellence, Automation, or Operational Excellence. Prior work with Customer Support teams and KPIs like CSAT, AHT, FTR, Reopens, and First Response Time. Proficiency in Microsoft Excel and PowerPoint for analytics and presentations. Working knowledge of Six Sigma (preferred: Black Belt), Lean methodologies, and digital tools. Familiarity with AI, chatbots, workflow tools, and digital customer experience technologies. Strong analytical thinking, decision-making, and stakeholder management skills. Exceptional communication skills, both verbal and written. Qualifications & Experience Education: BE/B.Tech or Postgraduate/MBA from a recognized institution. Experience: 2 4 years in a relevant role involving process optimization or customer journey transformation. At Zeta, we believe People Must Grow. You ll work with brilliant minds, cutting-edge technologies, and game-changing products. Our culture promotes innovation, continuous learning, and an inclusive workplace where every individual is valued. Equal Opportunity Statement Zeta is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees regardless of background, gender, religion, ethnicity, or identity. Qualification : BE/B.Tech or Postgraduate/MBA from a recognized institution.

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field

AI-ML Technologist Bangalore, India Location: Bangalore Experience: 3 to 10 Years Job Role: AI-ML Technologist Industry: IT Software / Artificial Intelligence & Machine Learning Job Summary: We are looking for a highly skilled AI-ML Technologist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), and Computer Vision. The ideal candidate will have hands-on experience in developing intelligent solutions using Python and other programming languages and frameworks. Key Responsibilities: Develop and deploy AI/ML models for various applications including Natural Language Processing (NLP), Computer Vision, and Cognitive Computing Design and implement deep learning architectures such as RNN, LSTM, and Reinforcement Learning algorithms Process and analyze diverse data types including text, speech, images, videos, and real-time streams from IoT devices and sensors Collaborate on AI system architecture and design using UML and related tools Utilize AI/ML frameworks such as TensorFlow, PyTorch (Torch), and Caffe for model development and training Apply cognitive search techniques and build scalable AI-driven applications Required Skills: Strong programming skills in Python, with experience in other languages like Java, C/C++, or R Proven experience with AI/ML frameworks: TensorFlow, PyTorch, Caffe, or similar Deep understanding of Deep Learning, Recurrent Neural Networks (RNN/LSTM), and Reinforcement Learning Expertise in Natural Language Processing (NLP) and Computer Vision technologies Experience handling large-scale and multi-modal data from various sources such as text, speech, images, video, and IoT streams Solid foundation in Machine Learning, Cognitive Computing, and Artificial Intelligence principles Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Artificial Intelligence, or a related field Experience with data preprocessing, feature engineering, and model evaluation Familiarity with cloud platforms for AI/ML deployment (AWS, Azure, GCP) Work on cutting-edge AI and ML technologies impacting real-world applications Collaborate with a team of experts in a fast-paced, innovation-driven environment Opportunities for continuous learning and career growth in AI/ML domain Qualification : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Data Engineer Location: Bengaluru Department: Global Strategic Services Data Engineering EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS company at the forefront of industrial digital transformation. Our core platforms Cognite Data Fusion (CDF) and Cognite Atlas AI leverage AI and data to solve complex challenges across oil & gas, chemicals, pharma, manufacturing, and energy sectors. Recognized globally for innovation, Cognite helps businesses improve efficiency, reduce costs, and operate more sustainably. Our Values Impact: We focus on outcomes that truly make a difference. Ownership: We take responsibility and work inclusively to deliver success. Relentless: We are persistent problem-solvers who view challenges as growth opportunities. About the Team You ll join Cognite s Global Customer Success (GCS) organization spanning offices in Oslo, Austin, Houston, Tokyo, and now Bengaluru. The GCS team includes Project Managers, Data Engineers, Data Scientists, and Solution Architects, all working on high-impact industrial use cases across regions including MENA and SEA. About the Role As a Data Engineer, you'll play a key role in solving real-world industrial problems by designing, building, and optimizing scalable data architectures. You ll create robust pipelines to integrate and contextualize data using Cognite Data Fusion, working closely with cross-functional teams. This is also a growth role with the opportunity to step into a Tech Lead position. Key Responsibilities Design and implement scalable data solutions using Cognite Data Fusion. Integrate data sources using Cognite connectors, SQL, Python/Java, and REST APIs. Develop custom data models for cleansing, discovery, and mapping. Work with data scientists, architects, and PMs to deliver client outcomes. Conduct code reviews and apply best practices in maintainability and quality. Support customers and partners with data engineering tasks and challenges. Collaborate with Engineering and Product teams to influence product roadmap. What You ll Bring Bachelor's or Master s in Computer Science or related field. 3 5 years of experience in data-focused, customer-facing roles. Strong experience with Python, SQL, and REST APIs for production-grade pipelines. Familiarity with data from industrial domains like oil & gas or manufacturing is a plus. Experience with Kubernetes, Azure/GCP, and modern DevOps practices. Comfortable with Git, CI/CD, and cloud-native deployment workflows. A proactive, collaborative mindset with a passion for problem-solving and learning. Join a diverse global team with 70+ nationalities and a strong commitment to DEI. Work in a modern hybrid environment at our Bengaluru office (Rathi Legacy, Hoodi). Be part of a flat, transparent culture with direct access to leadership. Build cutting-edge solutions and influence how industries evolve digitally. Learn from top engineers and contribute to ambitious, high-impact projects. Enjoy a respectful, fun, and collaborative workplace where your voice matters. If you re excited to build data infrastructure that powers real change in heavy industries, Cognite offers you a platform to grow, lead, and innovate. We welcome candidates from all backgrounds and identities apply today and be part of something meaningful. Qualification : Bachelor's or Masters in Computer Science or related field.

Senior Data Engineer Location: Bengaluru Department: Global Strategic Services Data Engineering EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation. Our platforms Cognite Data Fusion and Cognite Atlas AI enable companies across Energy, Utilities, Manufacturing, and Chemicals to solve complex challenges using AI, contextual data, and automation. Cognite is backed by top-tier investors and recognized with global innovation awards. Our Values Impact: We deliver results that matter. Ownership: We take initiative, act inclusively, and embrace accountability. Relentless: We pursue excellence and innovation with resilience. About the Role As a Senior Data Engineer, you ll lead the development of scalable data solutions that empower critical industries to make informed decisions. You ll work on high-impact projects across regions, collaborating with solution architects, data scientists, and product teams. This is a growth role with room to influence product direction and mentor junior engineers. Key Responsibilities Architect and implement robust data pipelines using Cognite Data Fusion, Python, SQL, and REST APIs. Lead integrations, data modeling, and transformation tasks using cloud-native technologies. Design custom data models for discovery, mapping, and cleansing industrial data. Collaborate closely with cross-functional teams to deliver digital solutions. Conduct code reviews and champion engineering best practices. Contribute to Cognite s SDKs and internal tools. Translate customer use cases into scalable, reusable data engineering frameworks. Mentor team members and support customer onboarding when needed. What You ll Bring Bachelor s or Master s in Computer Science or related field (or equivalent experience). 5+ years in a data-intensive, customer-facing engineering role. Expertise in Python, SQL, REST APIs, and pipeline orchestration. Experience with distributed computing, Kubernetes, and cloud platforms (Azure, GCP). Familiarity with data from industrial domains like oil & gas or manufacturing is a plus. Strong DevOps mindset with hands-on experience in Git, CI/CD, and deployments. Proactive and collaborative; able to work independently and solve complex challenges. A growth mindset with willingness to ask for help and share knowledge openly. Be part of a global team spanning 70+ nationalities with strong DEI focus. Work at our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Enjoy flat hierarchy, fast decision-making, and high ownership culture. Collaborate with world-class professionals on industry-transforming projects. Shape the future of industrial data and drive real-world impact at scale. If you re passionate about solving meaningful problems with cutting-edge data technologies, apply today. We welcome applicants from all backgrounds and experiences you might be the perfect fit, even if you don t meet every single requirement. Qualification : Bachelors or Masters in Computer Science or related field (or equivalent experience).

Engineering Manager Platform Engineering Location: Bangalore, Karnataka | Department: Tech About the Team At Meesho, we support 5% of Indian households with high-scale e-commerce solutions and we do it with zero downtime. We value speed over perfection, embrace failures as learning opportunities, and empower teams with a Founder s Mindset. As part of the Platform Engineering team, you ll be building resilient, low-latency, high-throughput systems that serve millions of users daily. We invest in the growth of every engineer through continuous feedback, open communication, and a supportive culture. And yes we know how to party as hard as we code. About the Role We are looking for a skilled Engineering Manager Platform Engineering to lead a team responsible for designing, scaling, and optimizing our core infrastructure. This role involves managing large-scale distributed systems, fostering engineering excellence, and collaborating across teams to drive innovation. You ll ensure technical quality, delivery speed, and scalable architecture for all projects under your ownership. What You Will Do Design and allocate technical tasks while maintaining Meesho s engineering standards. Own execution of platform projects from inception to deployment, ensuring scalability and reliability. Conduct regular 1:1s, drive feedback cycles, and support career growth of engineers. Partner closely with Product and Design teams to develop new platform capabilities. Coach engineers on best practices for architecture, performance, and scalability. Monitor project health, sprint progress, and engineering KPIs. Foster a high-performing team culture with strong engineering ownership. What You Will Need Bachelor s or Master s degree in Computer Science or a related technical field. 8+ years of professional software development experience, including 1+ year in team management. Proven experience building large-scale distributed systems. Strong coding skills in Java, Python, or Go, and multithreading expertise. Deep understanding of messaging systems (Kafka, etc.), transactional and NoSQL databases. Experience working on cloud platforms like GCP or AWS. Exceptional communication, leadership, and stakeholder management skills. Good to have: Exposure to Elasticsearch, data pipelines, or stream processing systems. About Us Meesho is India s leading e-commerce platform built for the next billion users. With 1.75M+ sellers and a customer base spread across every serviceable pin code, we are democratizing internet commerce by enabling small businesses to sell online at zero commission and with the lowest logistics costs in the industry. From affordable products that reflect local demand to a robust pan-India tech infrastructure, Meesho is transforming how India shops and sells online. Our Culture & Total Rewards At Meesho, we believe in creating a culture of impact, inclusion, and innovation. Our values reflected in 11 guiding principles or "Mantras" shape how we work, collaborate, and grow together. Why You ll Love Working Here: Compensation: Competitive salary with equity-based rewards tailored to your experience and impact. Wellness: Extensive health insurance for you and your family through our MeeCare Program, mental wellness support, gym discounts, and more. Flexibility & Leave: Generous time off, parental benefits, and relocation support. Growth & Learning: Continuous learning through workshops, internal mobility, and performance coaching. Culture of Recognition: Personalized gifts, fun rituals, and regular engagement programs celebrating wins big and small. Join us to build the platform powering the future of digital commerce in India. Apply now and be part of a tech-first, people-driven journey at Meesho. Qualification : Bachelors or Masters degree in Computer Science or a related technical field.

Job Title: Data Engineer Location: Bengaluru, Karnataka Experience: 5 to 8 Years Work Modality: Full-time (Work from office) Job Description: We are looking for an experienced Data Engineer to join our team and take responsibility for designing, developing, and maintaining scalable ETL/ELT pipelines. This is a full-time position based in Bengaluru, Karnataka, and you will be collaborating with cross-functional teams to define data requirements and ensure data accuracy, consistency, and integrity. Your role will also involve optimizing data workflows, automating processes, and ensuring high availability and reliability of data pipelines. Key Responsibilities: ETL/ELT Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support data transformation and integration processes. Data Warehouse & Data Lake Optimization: Build and optimize data warehouses, data lakes, and real-time streaming solutions to support large-scale data operations. Collaboration & Data Requirements: Collaborate with cross-functional teams, such as product, data science, and analytics teams, to define data requirements and ensure data accuracy and consistency. Database Structure & Schema Management: Develop and maintain database structures and schemas to ensure efficient data storage and retrieval. Data Workflow Optimization: Optimize data workflows for performance, reliability, and scalability, ensuring the highest level of efficiency. Data Security & Compliance: Implement data security, governance, and compliance best practices to ensure that data is handled securely and meets industry standards. Pipeline Monitoring & Troubleshooting: Monitor, troubleshoot, and improve data pipelines to ensure uptime, reliability, and smooth data processing. Process Automation: Automate data-related processes to improve efficiency and reduce manual intervention, increasing the overall speed of data flow. Required Qualifications: Experience: 5+ years of experience in data engineering or 3-4 years of experience as a Data Engineer. Technical Skills: Strong proficiency in SQL and database management systems such as PostgreSQL, MySQL, SQL Server, etc. Experience with ETL tools such as Pentaho, Talend, Cdata, and SSIS. Exposure to Python, Java, or Scala for data processing is a plus. Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions such as S3, Redshift, Snowflake, or BigQuery. Strong knowledge of data modeling, warehousing concepts, and data architecture best practices. Soft Skills: Excellent communication skills with the ability to collaborate effectively across teams. Strong problem-solving skills and the ability to work with large, complex datasets. What We Offer: Competitive Salary: Attractive salary based on experience and expertise. Collaborative Work Environment: Work in a dynamic and fast-paced environment with a team that fosters innovation and collaboration. Growth Opportunities: Opportunities to enhance your skills and career growth in the data engineering field. Comprehensive Benefits: Benefits package designed to support work-life balance and overall employee well-being.

NVIDIA is searching for a highly motivated senior software engineer for the team that is building capabilities for a next generation Network management and Telemetry system in cloud using modern design principles at internet scale.The person will be will be responsible for building distributed cloud applications. It will be a highly scalable, modern network operations toolset that provides visibility, troubleshooting, validation and telemetry for Ethernet networks. What you'll be doing: Development of distributed cloud applications, micro services and SAAS platform with high throughput and reliability. Contribute to applications like data ingestion, distributed computing, near real time analytic engines, RESTful APIs and user interfaces. Drive requirement discussions, design and product improvements. Drive improvements in areas like performance, team productivity, automation, quality, monitoring and reliability of applications. Working closely with the system architects, UI/UX and test engineers What we need to see: Bachelors/Masters Degree in Computer Science/Engineering 5+ years of experience in complex microservices based architectures. Extensive programming experience in Scala, Go, Python Fluent in coding and rapid prototyping. Strong experience in developing, maintaining, and testing of scalable distributed applications. Experience with stream processing frameworks, such as Kafka,Flink , Spark Streaming, Samza etc. Background with NoSQL databases such as Cassandra, MongoDB. Experience with orchestration/scheduling technologies like Kubernetes, SLURM, Nomad etc Ways to stand out from the crowd: Experience with public clouds like AWS. Worked in Reactive application designs (https://www.reactivemanifesto.org/). Experience in network stacks, protocols, SDN. NVIDIA is widely considered to be one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way inground-breakingdevelopments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Qualification : Bachelors/Masters Degree in Computer Science/Engineering

About Us We are looking for driven individuals who want to innovate, achieve, grow, and lead. Join one of the world s largest providers of products and services to the global energy industry. We invest in our employees, offering opportunities for professional development and growth in a challenging and rewarding environment. Job Summary As an Opportunity to Cash (OTC) Specialist, you will support the OTC Global Business Services (GBS) value stream, focusing on end-to-end processes from sales to fulfillment and invoicing. You will gain hands-on experience in business development (Pricing & Contracts or Proposals & Quotes) or operations (Sales Order Management or Invoicing). This entry-level role offers exposure to various aspects of the OTC process, with opportunities for on-the-job training and continuous improvement. Key Responsibilities Support OTC processes, including receiving, processing sales, fulfillment, and invoicing for goods and services. Work in business development or operations, depending on the assigned function. Create, edit, manage, and validate internal and customer data with a focus on accuracy and timeliness. Communicate with internal teams and clients to ensure efficient data management. Participate actively in continuous improvement initiatives for OTC processes. Ensure compliance with all safety and environmental regulations. Qualifications Education: High school diploma or equivalent required; business degree preferred. Experience: Minimum of 3 months of office environment experience. Previous experience in the oil and gas industry, especially in business development, field operations, or field engineering, is a plus. Skills & Competencies Strong attention to detail and data accuracy. Effective communication and collaboration skills. Ability to manage and process large volumes of data within deadlines. Willingness to learn and contribute to continuous improvement efforts. Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Qualification : High school diploma or equivalent required; business degree preferred.

About [24]7 Inc. Data is revolutionizing how we live and work, enabling us to glean insights and apply them across various aspects of our lives. At [24]7, we are leading the charge in applying data and machine learning to enhance customer acquisition and engagement. Our Customer Acquisition Cloud leverages cutting-edge AI and machine learning to target the right audiences, while our Engagement Cloud drives seamless customer interactions to deliver exceptional experiences. We cater to Fortune 100 companies worldwide, handling hundreds of millions of customer interactions each year enabling over 1.5 billion interactions annually. We tackle complex challenges in data processing, machine learning, and AI to develop Smart Agents that revolutionize customer interactions. Key Questions We Address: How do we process millions of events in a data stream to derive meaningful insights? How do we apply scalable machine learning algorithms to learn from vast data sets? How do we make real-time decisions in under 300 milliseconds, at scale, by leveraging learnings from live data streams? We utilize leading open-source technologies such as Akka, Scala, Undertow, Spark, Spark ML, Hadoop, Cassandra, and MongoDB. Real-time capabilities and platform scalability are at the core of our engineering efforts, and we constantly strive to innovate in the customer engagement space. As a Pre-IPO Silicon Valley-based company, we serve a prestigious portfolio of global brands such as Hilton, eBay, Time Warner Cable, Best Buy, Target, American Express, Capital One, and United Airlines. Our technologies reach over 300 million visitors online every month. Our team is dedicated to creating an empowering work environment and offers one of the best work cultures in Bangalore. Position: Full Stack Engineer - Product Engineering Team The Product Engineering team at [24]7 is focused on building next-generation platforms designed to deliver intuitive, seamless experiences for consumers interacting with companies via Web, Mobile, IVR (Interactive Voice Response), or traditional phone systems. Our products process vast volumes of data to predict consumer needs and preferences often before they are expressed. We are responsible for designing and developing innovative product features in areas such as big data, predictive analytics, modeling frameworks, mobile applications, and user interfaces. Our work involves creating high-performance, highly-available, and reliable products deployed in distributed environments to deliver services through a SaaS model. Key Responsibilities: Design and implement new product features from the ground up in areas including big data, predictive analytics, mobile applications, and user interfaces. Build scalable, high-performance, and distributed systems to support mission-critical services. Collaborate with cross-functional teams to deliver solutions that exceed customer expectations. Focus on system reliability, availability, and performance while maintaining best practices across the software development lifecycle. Contribute to the overall architecture and design of cutting-edge solutions. Required Qualifications: Strong fundamentals in Computer Science, including expertise in Data Structures, Algorithms, Operating Systems, and Databases. Proven experience as a Full Stack Engineer, with a deep understanding of object-oriented design principles and experience in object-oriented programming languages (Java, Ruby, Python, Scala, etc.). Expertise in developing web-based user interfaces, including HTML, JavaScript, and CSS. Strong communication skills, with the ability to collaborate and explain complex technical concepts to non-technical stakeholders. Experience in developing high-performance, distributed systems is highly desirable. Solid knowledge in system and database design. Experience across the full software development lifecycle. Familiarity with agile methodologies and experience in working with cloud-enabled services and applications. Preferred Qualifications: Exposure to open-source technologies is a plus. Familiarity with cloud platforms and services (AWS, Azure, GCP) is highly valued. Education: Bachelor's degree in Computer Science, Engineering, or a related field. If you are passionate about working on impactful, large-scale problems with cutting-edge technologies, join us at [24]7 to innovate and contribute to the future of customer engagement. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field.