Job Title: Data Engineer (35 Years Experience) Location: Gurgaon, Pune, Bangalore, Hyderabad Job Summary : We are seeking a skilled and motivated Data Engineer with 3 to 5 years of experience to join our growing team The ideal candidate will have hands-on expertise in building robust, scalable data pipelines, working with modern data platforms, and enabling data-driven decision-making across the organization Youll work closely with data scientists, analysts, and engineering teams to build and maintain efficient data infrastructure and toolin Key Responsibiliti es: Design, develop, and maintain scalable ETL/ELT pipelines to support analytics and product use ca ses Collaborate with data analysts, scientists, and business stakeholders to gather requirements and translate them into data soluti ons Manage data integrations from various internal and external data sour ces Optimize data workflows for performance, cost-efficiency, and reliabil ity Build and maintain data models and data warehouses using industry best practi ces Monitor, troubleshoot, and improve existing data pipeli nes Implement data quality frameworks and ensure data governance standards are follo wed Contribute to documentation, code reviews, and knowledge sharing within the t eam Required Skills & Qualificati ons: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related f ield 35 years of experience as a Data Engineer or in a similar data-focused role Strong command of SQL and proficiency in Py thon Good Engineering pract ices Experience with data pipeline orchestration tools such as Apache Airflow or equiva lent Hands-on experience with cloud data platforms (AWS/GCP/Azure) and services such as S3, Redshift, BigQuery, or Azure Data Lake Experience in data warehousing concepts and tools like Snowflake, Redshift, databr icks,Familiarity with version control tools such as Git Strong analytical and communication sk ills Preferred Qualificat ions: Exposure to big data tools and frameworks such as Spark, Hadoop, or Kafka Experience with containerization (Docker/Kubern etes) Familiarity with CI/CD pipelines and automation in data engine ering Awareness of data security, privacy, and compliance princ iples What We Offer: A collaborative and inclusive work envir onment Opportunities for continuous learning and career growth petitive compensation and be nefits Flexibility to work from any of our offices in Gurgaon, Pune, Bangalore, or Hy derabad
About Company:. Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes. We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries. The company uses new-age technologies to help its clients build superior products and realize better customer value. We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains.. Experience: 3 6 Years. Location: Bangalore/Mumbai/Hyderabad. Employment Type: Full-time. Mode: WFO (5 Days). Job Summary:. We are seeking a highly skilled and experienced Java Backend Developer with 3–6 years of hands-on experience in designing and implementing scalable backend systems. The ideal candidate should be proficient in both SQL and NoSQL databases, have strong experience in building microservices using Spring Boot, and demonstrate a deep understanding of multithreading and concurrency in Java.. Key Responsibilities:. Design, develop, test, and maintain robust and scalable backend services and APIs using Java and Spring Boot.. Develop microservices architecture-based solutions with high performance and reliability.. Work with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases.. Optimize application performance through multithreading and concurrency management.. Collaborate with front-end developers, DevOps, and QA teams for seamless integration and deployment.. Write clean, maintainable, and well-documented code following best practices and coding standards.. Participate in code reviews and provide constructive feedback to team members.. Troubleshoot and resolve issues in development, test, and production environments.. Required Skills:. 3–6 years of professional experience in backend development using Java.. Strong hands-on experience with Spring Boot and microservices architecture.. Proficiency in SQL and NoSQL databases.. Strong understanding and application of multithreading, concurrency, and performance optimization.. Good knowledge of RESTful API design and implementation.. Experience with version control systems like Git.. Familiarity with CI/CD tools and containerization (Docker/Kubernetes) is a plus.. Strong problem-solving skills and a proactive attitude.. Show more Show less
Experience: 4–6 Years. Employment Type: Full-time. Mode: WFO (5 Days). Job Summary:. We are seeking a highly skilled and experienced Java Backend Developer with 4–6 years of hands-on experience in designing and implementing scalable backend systems. The ideal candidate should be proficient in both SQL and NoSQL databases, have strong experience in building microservices using Spring Boot, and demonstrate a deep understanding of multithreading and concurrency in Java.. Key Responsibilities:. Design, develop, test, and maintain robust and scalable backend services and APIs using Java and Spring Boot.. Develop microservices architecture-based solutions with high performance and reliability.. Work with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB, Cassandra) databases.. Optimize application performance through multithreading and concurrency management.. Collaborate with front-end developers, DevOps, and QA teams for seamless integration and deployment.. Write clean, maintainable, and well-documented code following best practices and coding standards.. Participate in code reviews and provide constructive feedback to team members.. Troubleshoot and resolve issues in development, test, and production environments.. Required Skills:. 4–6 years of professional experience in backend development using Java.. Strong hands-on experience with Spring Boot and microservices architecture.. Proficiency in SQL and NoSQL databases.. Strong understanding and application of multithreading, concurrency, and performance optimization.. Good knowledge of RESTful API design and implementation.. Experience with version control systems like Git.. Familiarity with CI/CD tools and containerization (Docker/Kubernetes) is a plus.. Strong problem-solving skills and a proactive attitude.. Show more Show less
Experience: 4 6 Years Location: Bangalore ( Hybrid) Shift :Night Shift Employment Type: Full-time About the Role: We are seeking a skilled and motivated Analytics Engineer with 46 years of experience to join our data team in Bangalore The ideal candidate will possess a strong mix of data engineering, analytics, and stakeholder collaboration skills You will play a key role in designing scalable data solutions and enabling data-driven decision-making across the organization Key Responsibilities: Collaborate with business and technical stakeholders to gather requirements and deliver analytics solutions Design and implement scalable data models using star schema and dimensional modeling approaches Develop and optimize ETL pipelines using Apache Spark for both batch and real-time processing(experience with Apache Pulsar is preferred) Write efficient, production-grade Python scripts and advanced SQL queries for data transformation and analysis Manage workflows and ensure data pipeline reliability using tools like Airflow, DBT, or similar orchestration frameworks Implement best practices in data quality, testing, and observability across all data layers Work with cloud-native data lakes/warehouses such as Redshift, BigQuery, Cassandra, and cloud storage platforms (S3, Azure Blob, GCS) Leverage relational databases such as PostgreSQL/MySQL for operational data tasks Nice to Have: Exposure to containerization technologies like Docker and Kubernetes for scalable deployment Experience working in cloud-native analytics ecosystems Required Skills: Strong experience in data modeling, ETL development, and data warehouse design Proven expertise in Python and SQL Hands-on experience with Apache Spark (ETL tuning), Airflow, DBT, or similar tools Practical knowledge of data quality frameworks, monitoring, and data observability Familiarity with both batch and streaming data architectures What We Offer: Opportunity to work on cutting-edge data platforms Collaborative and inclusive team culture Competitive salary and benefits Career growth in the modern data engineering space
Experience: 3-6 years Location: Bangalore Employment Type: Full-time Mode: WFO (Hybrid 3 Days) Key Responsibilities Infrastructure & Kubernetes Management Architect and manage enterprise-grade Kubernetes clusters (on-premise and/or cloud), Implement and manage container orchestration using Kubernetes with focus on high availability, scalability, and performance, Configure Kubernetes networking (CNI, Ingress), storage (CSI, Ceph, Longhorn), and custom resources (CRDs, Operators), Infrastructure as Code & GitOps Build and manage infrastructure using Terraform, Helm, and Ansible, Implement GitOps workflows using tools like ArgoCD, Monitoring & Observability Deploy and maintain observability stacks using Prometheus, Grafana, EFK/ELK Stack, and AlertManager, Define and implement monitoring strategies for performance, uptime, and incidents, CI/CD & Automation Design and maintain CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions, Develop automation scripts using Shell or Python for infrastructure tasks and deployment flows, Security & Best Practices Enforce Kubernetes security standards including RBAC, network policies, and container image scanning, Implement disaster recovery, backup strategies, and compliance-aligned configurations, Leadership & Collaboration Collaborate with development teams to align deployment strategies, Drive infrastructure best practices and create technical documentation, Must-Have Skills 3 6 years in DevOps or Infrastructure Engineering Exposure to multi-cloud environments (AWS, Azure, GCP) 3+ years working with Kubernetes in production Proficiency in Terraform, Helm, Ansible, ArgoCD Strong understanding of Kubernetes internals (networking, storage, controllers) Experience with monitoring tools (Prometheus, Grafana) and logging tools (ELK/EFK) Experience building secure and reliable CI/CD pipelines Hands-on scripting with Shell (Bash/Powershell), familiarity with Python/Go Good-to-Have Skills Experience with service mesh (Istio, Linkerd) Knowledge of container security tools (e g , Aqua, Twistlock) Experience with database operations or ML pipelines in Kubernetes
Experience: 6-9 year Location: Bangalore/Pune/Hyderabad Work mode: Hybrid Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries The company uses new-age technologies to help its clients build superior products and realize better customer value We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains As a Data Engineer, you will play a crucial role in designing and optimizing data solutions for our clients The ideal candidate will have a strong foundation in Python, experience with Databricks Warehouse SQL or a similar Spark-based SQL platform, and a deep understanding of performance optimization techniques in the data engineering landscape Knowledge of serverless approaches, Spark Streaming, Structured Streaming, Delta Live Tables, and related technologies is essential, What are we looking for Bachelor's degree in Computer Science, Engineering, or a related field, 6-9 year of experience as a Data Engineer, Proven track record of designing and optimizing data solutions, Strong problem-solving and analytical skills, Must haves Python: Proficiency in Python for data engineering tasks and scripting, Performance Optimization: Deep understanding and practical experience in optimizing data engineering performance, Serverless Approaches: Familiarity with serverless approaches in data engineering solutions, Good to have Databricks Warehouse SQL or Equivalent Spark SQL Platform: Hands-on experience with Databricks Warehouse SQL or a similar Spark-based SQL platform, Spark Streaming: Experience with Spark Streaming for real-time data processing, Structured Streaming: Familiarity with Structured Streaming in Apache Spark, Delta Live Tables: Knowledge and practical experience with Delta Live Tables or similar technologies, What will you be doing Design, develop, and maintain scalable and efficient data solutions, Collaborate with clients to understand data requirements and provide tailored solutions, Implement performance optimization techniques in the data engineering landscape, Work with serverless approaches to enhance scalability and flexibility, Utilize Spark Streaming and Structured Streaming for real-time data processing, Implement and manage Delta Live Tables for efficient change data capture,
Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries The company uses new-age technologies to help its clients build superior products and realize better customer value We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains What you will own Design and execute creative outreach plays that increase qualified meetings and keep the funnel healthy, Translate the sales plan into crisp ICPs and buying-committee personas; refine them with data, Build segmented prospect lists and keep pipeline data clean,complete, and current, Orchestrate multi-touch follow-ups (email, LinkedIn, calls) that nurture interest and accelerate deal velocity, Draft proposals, one-pagers, and pitch decks tailored to prospect needs; ensure on-brand quality and grammar, Produce concise market briefs & research, competitor snapshots, and meeting prep docs that sharpen sales arguments, Keep the sales-enablement library updated with the latest product, industry, and competitive intel, Qualifications & Experience Education: BCA/b-e /b-tech (CS, IT, or related) MBA preferred, Experience: 1-4 years in inside sales, lead generation, or SDR/BDR roles within tech or IT services, Tools: Proficient with modern CRMs (ZohoCRM/HubSpot), sales-engagement platforms (Apollo, Sales Navigator), and G-Suite for analysis & reporting, Industry: BFSI, Retail & Healthcare Skills: Strong analytical thinking; can translate data into action, Exceptional written and verbal English; impeccable grammar, Solid grasp of IT services, Cloud, Data & AI trends (or demonstrable eagerness to upskill fast)along with US Sales
Company Overview: Founded in the year 2017, CoffeeBeans specializes in offering high end consulting services in technology, product, and processes We help our clients attain significant improvement in quality of delivery through impactful product launches, process simplification, and help build competencies that drive business outcomes across industries The company uses new-age technologies to help its clients build superior products and realize better customer value We also offer data-driven solutions and AI-based products for businesses operating in a wide range of product categories and service domains What you will own Design and execute creative outreach plays that increase qualified meetings and keep the funnel healthy, Translate the sales plan into crisp ICPs and buying-committee personas; refine them with data, Build segmented prospect lists and keep pipeline data clean,complete, and current, Orchestrate multi-touch follow-ups (email, LinkedIn, calls) that nurture interest and accelerate deal velocity, Draft proposals, one-pagers, and pitch decks tailored to prospect needs; ensure on-brand quality and grammar, Produce concise market briefs & research, competitor snapshots, and meeting prep docs that sharpen sales arguments, Keep the sales-enablement library updated with the latest product, industry, and competitive intel, Qualifications & Experience Education: BCA/B E /b tech (CS, IT, or related) MBA preferred, Experience: 1-4 years in inside sales, lead generation, or SDR/BDR roles within tech or IT services, Tools: Proficient with modern CRMs (ZohoCRM/HubSpot), sales-engagement platforms (Apollo, Sales Navigator), and G-Suite for analysis & reporting, Industry: BFSI, Retail & Healthcare Skills: Strong analytical thinking; can translate data into action, Exceptional written and verbal English; impeccable grammar, Solid grasp of IT services, Cloud, Data & AI trends (or demonstrable eagerness to upskill fast),
Experience: 5-8 Years Location: Hyderabad Employment Type: Full-time Mode: WFO (5 Days) Job Summary: We are seeking a highly skilled and experienced Java Backend Developer with 5-8 years of hands-on experience in designing and implementing scalable backend systems The ideal candidate should be proficient in both SQL and NoSQL databases, have strong experience in building microservices using Spring Boot, and demonstrate a deep understanding of multithreading and concurrency in Java, Key Responsibilities: Design, develop, test, and maintain robust and scalable backend services and APIs using Java and Spring Boot, Develop microservices architecture-based solutions with high performance and reliability, Work with both SQL (, MySQL, PostgreSQL) and NoSQL (, MongoDB, Cassandra) databases, Optimize application performance through multithreading and concurrency management, Collaborate with front-end developers, DevOps, and QA teams for seamless integration and deployment, Write clean, maintainable, and well-documented code following best practices and coding standards, Participate in code reviews and provide constructive feedback to team members, Troubleshoot and resolve issues in development, test, and production environments, Required Skills: 5-8 years of professional experience in backend development using Java, Experience with Java 11 or 17( preferably with 17 and above), Spring frameworks, Proficiency with JVM Architecture, GC tuning / optimisation, Experience with CI/CD tools and containerization (Docker/Kubernetes) is a Must, Strong hands-on experience with Spring Boot and microservices architecture, Proficiency in SQL and NoSQL databases, Strong understanding and application of multithreading, concurrency, and performance optimization, Good knowledge of RESTful API design and implementation, Experience with version control systems like Git, Strong problem-solving skills and a proactive attitude,
Experience: 46 Years Location: Bangalore Employment Type: Full-time Mode: WFO (5 Days); Marathahalli office Job Summary: We are seeking a highly skilled and experienced Java Backend Developer with 46 years of hands-on experience in designing and implementing scalable backend systems The ideal candidate should be proficient in both SQL and NoSQL databases, have strong experience in building microservices using Spring Boot, and demonstrate a deep understanding of multithreading and concurrency in Java, Key Responsibilities: Design, develop, test, and maintain robust and scalable backend services and APIs using Java and Spring Boot, Develop microservices architecture-based solutions with high performance and reliability, Work with both SQL (, MySQL, PostgreSQL) and NoSQL (, MongoDB, Cassandra) databases, Optimize application performance through multithreading and concurrency management, Collaborate with front-end developers, DevOps, and QA teams for seamless integration and deployment, Write clean, maintainable, and well-documented code following best practices and coding standards, Participate in code reviews and provide constructive feedback to team members, Troubleshoot and resolve issues in development, test, and production environments, Required Skills: 46 years of professional experience in backend development using Java, Strong hands-on experience with Spring Boot and microservices architecture, Proficiency in SQL and NoSQL databases, Strong understanding and application of multithreading, concurrency, and performance optimization, Good knowledge of RESTful API design and implementation, Experience with version control systems like Git, Familiarity with CI/CD tools and containerization (Docker/Kubernetes) is a plus, Strong problem-solving skills and a proactive attitude,
Position: Senior DevOps Engineer Grade: Senior Level Experience: 6-7 Years Location: Hyderabad Employment Type: Full-time Open Positions: 2 ???Job Overview We are seeking an experienced Lead DevOps Engineer with deep expertise in Kubernetes infrastructure design and implementation This role requires an individual who can architect, build, and manage enterprise-grade Kubernetes clusters from the ground up The position offers an exciting opportunity to lead infrastructure modernization initiatives and work with cutting-edge cloud-native technologies, Initial Setup Phase: ??? Key Responsibilities Infrastructure Design & Implementation Design and architect enterprise-grade Kubernetes clusters across multi-cloud environments (AWS/Azure/GCP) Build production-ready Kubernetes infrastructure with high availability, scalability, and security best practices Implement Infrastructure as Code using Terraform, Helm charts, and GitOps methodologies Set up monitoring, logging, and observability solutions for Kubernetes workloads Design disaster recovery and backup strategies for containerized applications Leadership & Team Management Lead a team of 3-4 DevOps engineers and provide technical mentorship Drive best practices for containerization, orchestration, and cloud-native development Collaborate with development teams to optimize application deployment strategies Conduct technical reviews and ensure code quality standards across infrastructure components Facilitate knowledge transfer and create comprehensive documentation Operational Excellence Manage CI/CD pipelines integrated with Kubernetes deployments Implement security policies including RBAC, network policies, and container security scanning Optimize cluster performance and resource utilization Automate routine operations and reduce manual intervention Ensure 99 9% uptime for production Kubernetes workloads Strategic Planning Define infrastructure roadmap aligned with business objectives Evaluate and recommend new tools and technologies for container orchestration Capacity planning and cost optimization for cloud infrastructure Risk assessment and mitigation strategies for production environments ???? Must-Have Technical Skills Core Kubernetes Expertise 6+ years of hands-on experience with Kubernetes in production environments Deep understanding of Kubernetes architecture, components (etcd, API server, scheduler, kubelet) Expertise in Kubernetes networking (CNI, Ingress controllers, Service mesh) Advanced knowledge of Kubernetes storage (CSI, Persistent Volumes, StorageClasses) Experience with Kubernetes operators and custom resource definitions (CRDs) Infrastructure as Code Terraform Advanced proficiency for infrastructure provisioning Helm Creating and managing complex Helm charts Ansible/Chef/Puppet Configuration management experience GitOps workflows ArgoCD, Flux, or similar tools Cloud Platforms Multi-cloud experience with at least 2 major cloud providers: AWS: EKS, EC2, VPC, IAM, CloudFormation Azure: AKS, Virtual Networks, Azure Resource Manager GCP: GKE, Compute Engine, VPC, Deployment Manager CI/CD & DevOps Tools Jenkins, GitLab CI, Azure DevOps, or GitHub Actions Docker Advanced containerization and optimization techniques Container registries Docker Hub, ECR, ACR, GCR management Version control Git workflows and branching strategies Monitoring & Observability Prometheus & Grafana Metrics collection and visualization ELK Stack / EFK Centralized logging solutions Jaeger/Zipkin Distributed tracing implementation AlertManager Intelligent alerting and incident management ???Good-to-Have Skills Advanced Technologies Service Mesh experience (Istio, Linkerd, Consul Connect) Serverless platforms (Knative, OpenFaaS, AWS Lambda) Database operations in Kubernetes (PostgreSQL, MongoDB operators) Machine Learning pipelines on Kubernetes (Kubeflow, MLflow) Security & Compliance Container security tools (Twistlock, Aqua Security, Falco) Policy management (Open Policy Agent, Gatekeeper) Compliance frameworks (SOC 2, PCI-DSS, GDPR) Certificate management (cert-manager, Let's Encrypt) Programming & Scripting Python/Go For automation and tooling development Shell scripting (Bash/PowerShell) Advanced automation YAML/JSON Configuration management expertise ??? Required Qualifications Education Bachelor's degree in Computer Science, Engineering, or related technical field Relevant certifications preferred: Certified Kubernetes Administrator (CKA) Certified Kubernetes Application Developer (CKAD) Cloud provider certifications (AWS/Azure/GCP) Experience 6-7 years of DevOps/Infrastructure engineering experience 4+ years of hands-on Kubernetes experience in production 2+ years in a lead/senior role managing infrastructure teams Experience with large-scale distributed systems and microservices architecture
Skills required for SQL expert: Years of Experience : 5-7 year sWork Location : Hyderaba dWork Mode : Onsite 5 days work from offic e Mandatory skills : 5+ years of experience in SQL query tuning and optimization on big data systems and big data projects (Apache spark, apache Kafka, Apache Hadoop, MongoDB, Hive )Knowledge of Machine Learning and Data Science concept sExpert Knowledge on Rewrite the queries in optimized wa yStrong knowledge of SQL, database design, and data modelin gExperience working with Big Data technologie sExperience with data warehousing, ETL, and data pipeline developmen tStrong analytical and problem-solving skills, with attention to detail and ability to work in a fast-paced environmen tExcellent communication and collaboration skills, with ability to work with cross-functional team s
Senior Java Full Stack Developer (34 Years Experience) Location: Bangalore Type: Full-Time Experience: 3 to 4 Years About CoffeeBeans Consulting CoffeeBeans Consulting is dedicated to crafting innovative software solutions Our team values technical excellence, continuous improvement, and fostering a culture of collaboration and mentorship, Role Overview We are looking for a seasoned Senior Java Full Stack Developer who can lead complex projects, mentor junior developers, and drive the adoption of best practices in software development The ideal candidate is adept at navigating both backend and frontend technologies and has a strong grasp of cloud infrastructures, Key Responsibilities Develop and maintain full-stack web applications using Java Spring Boot and Reactdot JS Build scalable backend APIs and integrate with frontend components Write clean, maintainable code following industry best practices Participate in code reviews and contribute to technical discussions Collaborate with cross-functional teams to deliver project requirements Debug and troubleshoot application issues across the full stack Support deployment and maintenance of applications in production environments Required Skills 3-4 years of hands-on experience in Java full-stack development Strong proficiency in Java, Spring Boot, and RESTful API development Frontend expertise in Reactdot JS including modern JavaScript (ES6+), HTML5, CSS3 Database experience with SQL databases (MySQL, PostgreSQL) and ORM frameworks Version control experience with Git Understanding of responsive web design and cross-browser compatibility Knowledge of software development lifecycle and agile methodologies Strong problem-solving skills and attention to detail Preferred Qualifications Experience with cloud platforms (AWS, Azure, or Google Cloud) Knowledge of containerization tools (Docker) Familiarity with build tools (Maven, Gradle) and CI/CD pipelines Understanding of microservices architecture patterns Experience with state management libraries (Redux, Context API) Knowledge of testing frameworks (JUnit, Jest, React Testing Library) Exposure to DevOps practices and deployment automation
We are seeking an experienced Solutions Marketing Manager to develop and execute marketing strategies that position CoffeeBeans as the premier partner for technology transformation and AI readiness This role will be instrumental in communicating our value proposition to prospective clients and employees, and building brand awareness The ideal candidate will have a strong background in technology marketing, with experience in data platforms, cloud solutions, and enterprise technology services, Location: Bangalore, India Key Responsibilities Strategic Marketing Develop comprehensive marketing strategies that align with our company's pivot toward technology solutions Create compelling messaging and positioning for our service offerings (Data Strategy, Data Engineering, ML Solutions, and AI agents) Collaborate with solution delivery teams to understand technical capabilities and translate them into business benefits Work with the leadership team to refine our value proposition and market positioning Content Development & Management Create high-quality, educational content that demonstrates our expertise in data and AI platforms and technology transformation (white papers, case studies, blog posts, webinars) Develop industry-specific marketing materials that address unique challenges in healthcare, manufacturing, financial services, and e-commerce Craft compelling case studies highlighting successful client implementations across our service offerings Oversee the creation of sales enablement materials to support our business development efforts Digital Marketing Manage the company's digital marketing initiatives across various channels Drive traffic to our website through SEO/SEM, content marketing, and social media Implement and optimize lead generation campaigns for the full range of our service offerings Analyze digital marketing performance and optimize strategies for maximum ROI Collaborate with web development teams to enhance our online presence and user Experience Event & Partner Marketing Plan and execute industry events, webinars, and workshops to showcase our AI readiness expertise Develop co-marketing initiatives with our technology partners (Cloud Partners and Data & AI Partners) Identify speaking opportunities and industry events to enhance our visibility and thought leadership Create and manage partner marketing programs to leverage partner ecosystems Analytics & Reporting Establish marketing KPIs aligned with business objectives Track and analyze marketing campaign performance across channels Provide regular reports on marketing effectiveness and lead generation Implement data-driven approaches to continuously improve marketing ROI Qualifications Education & Experience Bachelor's degree in Marketing, Business, Computer Science, or a related field; MBA Preferred 5+ years of marketing experience in B2B technology marketing, preferably in IT services, data solutions, or AI/ML space Demonstrable experience in creating and executing successful marketing campaigns for technology services Experience marketing to SMB and mid-market businesses Skills & Knowledge Strong understanding of data platforms, cloud infrastructure, and enterprise technology solutions Experience with marketing automation tools, CRM systems, and analytics platforms Excellent content creation and copywriting skills, with the ability to translate complex technical concepts into business benefits Proficient in digital marketing tactics including SEO/SEM, email marketing, and social media Understanding of B2B sales cycles and lead generation strategies for technology services Project management experience with the ability to manage multiple initiatives simultaneously Personal Attributes Strategic thinker with a creative mindset and attention to detail Strong communication and interpersonal skills Ability to collaborate effectively with technical teams, sales, and executives Self-motivated with a results-oriented approach Adaptable to the evolving landscape of AI technologies and market demands
Job Description Senior Developer We are looking for an experienced senior developer to be responsible for overseeing junior developers on projects and supporting various development duties The responsibilities of senior developers include writing code, analyzing data, and contributing to the design and implementation of software, To be successful as a senior developer, you should demonstrate great skill in creativity and innovation, ability to thrive in a high pressure environment, and possess excellent communication skills Ultimately, a top-notch senior developer should have extensive experience in software development, be able to keep up-to-date with deadlines, and have strong analytical skills, Experience: 5+ years Location: Bangalore KRM Work Mode: Hybrid (3 days from office) Education: Bachelors degree in computer science, Information Technology, or related field Responsibilities: Refactor and optimize existing code to improve readability, maintainability, testability, and performance, Design, develop, and maintain robust unit tests and integration tests to ensure the reliability and quality of software products, Capture business rules, domain knowledge, current states based on legacy code analysis and communicate this knowledge succinctly, Consistently achieves impactful and collective progress across E2E aspects of story development (development, testing) with autonomy and limited oversight, Troubleshoot and debug software issues, At least 1-2 years of experience designing enterprise software or distributed systems modules Strong knowledge of data structures, algorithms, and/or distributed systems Unit and integration test End to End testing of deliverables (Manual and Automation tests) Collaborate with cross-functional teams to understand project requirements and translate them into well-structured, maintainable code, Requirements: Strong experience as a C#Dot net developer, with a focus on code refactoring, unit testing, and integration testing, Solid understanding of object-oriented programming principles and design patterns, Technologies: C#Dot net, RESTful API,AspDot net-MVC, SQL Server and exposure on UI technologies like Angular Experience with automated testing frameworks such as Xunit/MSTest and BDD/Spec flows Proficiency in writing clean, well-designed, and maintainable code, Excellent problem-solving and analytical skills, Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment, Can articulate the solution by expressing it in the context of a business and technical domain, Must Have:Technologies: C#Dot net, RESTful API,AspDot net-MVC, SQL Server and exposure on UI technologies like Angular Experience with automated testing frameworks such as Xunit/MSTest and BDD/Spec flows