Cloud AWS Jobs in Bengaluru

Senior Software Engineer (Backend) Location: Bengaluru Hiring is still rooted in outdated processes manual screening, unconscious bias, long feedback cycles, and excessive administrative overhead. Organizations spend more time managing hiring than discovering real talent. At Talview, we re changing that with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy The world s first AI Proctoring Agent. Ivy A conversational AI Interviewer transforming first-round screenings. Our impact: 10M+ assessments delivered across 120+ countries. The Role We are looking for a Senior Software Engineer (Backend) to build high-performance systems. You will work across Talview s backend ecosystem including PostgreSQL, Redis, AWS Lambda, GraphQL, Hasura, Temporal, and microservices to deliver secure, reliable, and globally scalable solutions. What You ll Do Design and operate scalable microservices supporting millions of assessments. Monitor and optimize system performance and efficiency. Own backend services end-to-end from development to maintenance. Collaborate with Frontend, QA, Product, and Customer Success teams. Solve engineering challenges directly impacting platform stability. You Might Be a Fit If You Have Required Qualifications: 4 6 years of backend engineering experience, primarily with Node.js. Deep understanding of OOP, design patterns, and SOLID principles. Experience with unit, integration, and functional testing. Strong knowledge of distributed systems and SQL (PostgreSQL). Working knowledge of Docker, Kubernetes, and microservices. Familiarity with: Time-series & Messaging: InfluxDB, Prometheus, Kafka, RabbitMQ, SQS. Caching & Frameworks: Redis, Hasura, Apollo. Cloud: AWS S3, Azure Blob. Bonus Points: Experience in SaaS or high-scale product environments. Hands-on experience with AI-assisted coding tools (Cursor, Windsurf, etc.). Understanding of Agile/Scrum methodologies. Our Culture: The 5Cs We re driven by Collaboration, Commitment, Credence, Customer-centricity, and Candor. We work together, ship quality, and communicate openly. What You Get Competitive compensation and best-in-class hardware. Flexibility: 5-day work week and flexible hours. Growth: Accelerated career paths in a fast-scaling organization. Perks: Stocked pantry, monthly lunches, and annual offsites.

Position: Business Technology Data Engineer Location: Bengaluru, India (Hybrid 3 days onsite) Company: Samsara Technologies India Pvt. Ltd. About Samsara Samsara (NYSE: IOT) is a leader in the Connected Operations Cloud, enabling businesses across industries like transportation, logistics, manufacturing, and field services to harness IoT data for safety, efficiency, and sustainability improvements. Samsara helps organizations digitize physical operations at scale, improving outcomes that impact global infrastructure. Role Overview Samsara is seeking a Business Technology Data Engineer to join its Data & Analytics team within the Business Technology division. In this role, you will design, build, and optimize end-to-end data pipelines and infrastructure for various business-critical systems across CRM, marketing, support, and product platforms. You'll collaborate with teams across the company to build reliable and scalable data solutions that power reporting, automation, and analytics. This hybrid role requires working 3 days per week from the Bengaluru office and 2 days remotely, with working hours aligned to India Standard Time (IST). Key Responsibilities Data Engineering & Platform Development Design and maintain ETL/ELT pipelines that integrate and transform data across business systems. Build scalable data infrastructure to support advanced analytics and real-time reporting needs. Write Python and SQL scripts for data ingestion, transformation, and validation. Data Integration & Enablement Work with diverse data sources: CRM, product telemetry, marketing automation, support ticketing, and order flow systems. Develop and support data lake and data warehouse solutions using Snowflake, Redshift, Databricks, or BigQuery. Ensure interoperability between applications and data layers. Performance & Quality Monitor and optimize pipeline performance, implement observability and alerting. Improve data quality, lineage, and governance across systems. Partner with internal stakeholders (e.g., Sales Ops, Marketing Ops, Analytics) to deliver reliable data products. Minimum Qualifications Bachelor s degree in Computer Science, Data Engineering, or related field. 5+ years of professional experience in data engineering. 3+ years experience building and maintaining end-to-end pipelines in a modern data stack. Strong in SQL and Python. Hands-on experience with: ETL tools: Fivetran, dbt Cloud: AWS (preferred), GCP, or Azure Databases: MySQL, PostgreSQL, Oracle, or similar Data Warehouses: Snowflake, Redshift, BigQuery, Databricks Preferred Qualifications Familiarity with API-based ingestion, serverless architecture (Lambda, API Gateway, SQS, etc.). Experience with monitoring tools (DataDog, CloudWatch, Splunk). Comfortable engaging stakeholders to translate business needs into data solutions. Proficiency in Docker, Kubernetes, or AWS Fargate is a plus. Qualification : Bachelors degree in Computer Science, Data Engineering, or related field

Job Title: Cloud Architect SRE Location: Bangalore, India Shift: Rotational Shift Overview At Aptean, we build tailored ERP solutions that power transformation across industries from food production to manufacturing. In a world of generic enterprise software, our targeted products stand apart, delivering measurable results. With over 50 products, 3,000+ employees, and a global customer base, now is the perfect time to grow your career with us. About the Role We are looking for a highly skilled Cloud Architect SRE with deep expertise in Amazon Web Services (AWS) to lead the design, implementation, and management of cloud infrastructure. You ll play a pivotal role in defining our cloud strategy, enhancing system reliability, optimizing performance, and ensuring high availability and security across environments. Key Responsibilities Cloud Architecture & Strategy Design scalable, secure, and resilient AWS cloud architectures. Define and maintain architectural standards, templates, and best practices. Drive cloud governance, including IAM, PIM/PAM, and policy enforcement. Infrastructure & Automation Manage and troubleshoot AWS IaaS and PaaS services. Expertise in Windows Server OS, DNS, DHCP, RDWeb, and domain controllers. Implement automation and scripting for reporting, inventory, and orchestration. Optimize cloud resources for performance, reliability, and cost efficiency. Security & Compliance Implement AWS security controls including IAM, encryption, and network protection. Ensure compliance with frameworks like SOC2, BUPA, and internal policies. Conduct regular security assessments and resolve vulnerabilities. Cost Optimization Analyze and reduce cloud costs using AWS Cost Explorer, Trusted Advisor, etc. Leverage reserved and spot instances, right-sizing, and efficient resource management. Documentation Create and maintain detailed documentation including architecture diagrams, SOPs, and technical guides. Qualifications Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: 5+ years of hands-on experience designing and deploying AWS cloud architectures. Proven experience with AWS services such as EC2, S3, VPC, IAM, RDS, and CloudFormation. Proficiency with Infrastructure as Code (Terraform, CloudFormation). Strong understanding of networking protocols and DevOps principles. Certifications (preferred): AWS Certified Solutions Architect Professional AWS Certified DevOps Engineer Professional Soft Skills: Strong analytical and troubleshooting abilities Excellent communication and team collaboration Proactive and self-driven with the ability to work independently If you're passionate about solving complex technical challenges and shaping the future of cloud infrastructure, Aptean is the place for you. Our culture values diversity, inclusion, and collaboration where every voice matters and innovation thrives. Diversity & Inclusion at Aptean Aptean is committed to fostering a diverse, inclusive workplace. We celebrate differences in race, gender identity, sexual orientation, religion, disability, age, and background believing that diverse teams drive innovation and better results for our customers. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Job Title: Full Stack Developer | 3-6 Years Experience | .NET Core, Angular, SQL Server | Bangalore, India Location: Bangalore, Karnataka, India About the Role: We are seeking a skilled Full Stack Developer with 3 to 6 years of experience to join our team in Bangalore for a critical project. This high-ownership position requires you to design, develop, and test features end-to-end, ensuring quality and scalability. You will not only focus on feature development but also take full responsibility for automating tests using Selenium. Key Responsibilities: Design, develop, and deploy robust web applications using Angular 16+, .NET Core 6, and SQL Server Collaborate closely with architects, product managers, and QA engineers to deliver high-quality, scalable solutions Write clean, efficient, and maintainable code adhering to industry best practices Own the complete delivery lifecycle of features from coding and testing to deployment Develop and maintain Selenium-based automated test scripts for all developed features Actively participate in agile ceremonies such as daily stand-ups, sprint planning, and code reviews Proactively identify and resolve technical issues during development and testing phases (Optional) Support deployment and infrastructure management leveraging AWS services Qualifications & Skills: Bachelor s or Master s degree in Computer Science, Engineering, or related field 3 to 6 years of professional experience in full stack development Strong proficiency in .NET Core 6, Angular 16+, and SQL Server Hands-on experience with Selenium test automation Familiarity with AWS cloud services is a plus Excellent problem-solving skills and ability to work in a collaborative team environment Work on high-impact projects with cutting-edge technologies Take ownership and contribute to every stage of the software development lifecycle Join a dynamic and innovative team in the heart of Bangalore s tech hub Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field

Backend Engineer Location: Bengaluru (Hoodi, Rathi Legacy, Rohan Tech Park) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader leveraging AI and data to solve complex industrial challenges in Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF). We have been recognized as a 2022 Technology Innovation Leader and 2024 Microsoft Energy & Resources Partner of the Year, driving the future of industrial digital transformation. Our Values Impact: Deliver meaningful, measurable results. Ownership: Take responsibility beyond your comfort zone and foster inclusivity. Relentless: Innovate with determination and resilience. Role & Responsibilities Design and develop scalable, high-performance backend services and APIs using Java, Kotlin, or Python for Cognite Data Fusion. Work with advanced database technologies like PostgreSQL and Elasticsearch to enhance our industrial knowledge graph. Collaborate with application teams to create user-centric solutions addressing complex industrial problems. Build resilient, scalable infrastructure using modern open-source tools and Cognite s data platform. Influence critical product and technical decisions by partnering closely with stakeholders and domain experts. 5+ years of backend engineering experience, primarily using Java, Kotlin, or Python in SaaS/product companies at scale. Flexibility with tech stacks: Java/Kotlin experience is a plus for Python developers and vice versa. Experience with Spark is highly valued. Strong background in modern databases (PostgreSQL, Elasticsearch), graph processing, distributed systems, and performance tuning. Commitment to clean, maintainable code and best practices through continuous code review and improvement. DevOps experience: CI/CD, Infrastructure as Code, Kubernetes multi-cloud deployments (AWS, GCP, Azure). Skilled in observability and diagnostics with tools like Prometheus, Grafana, and expertise in troubleshooting complex system issues. Comfortable contributing to and learning from the open-source community. Excellent communication skills to collaborate effectively across diverse, global teams. Be part of a diverse global team representing 70+ nationalities, committed to DEI. Work in a modern, vibrant office environment at Rathi Legacy, Hoodi, Bengaluru with hybrid flexibility. Flat hierarchy with direct access to leadership and minimal bureaucracy. Collaborate with world-class talent on ambitious, high-impact projects across multiple industries. Engage in Cognite s HUB community for direct interaction with colleagues and partners. Make Your Impact Join Cognite and help revolutionize industrial digital transformation with strong DataOps, enabling better decisions and sustainability for global clients. We encourage applications from all backgrounds and identities. If you re passionate about shaping the future of industrial SaaS, apply today!

Senior Integration Developer Location: Bangalore, India Employment Type: Full-time, Permanent Job Description We are seeking a highly skilled Senior Healthcare Integration Developer to join our dynamic team. The ideal candidate will possess deep expertise in healthcare integration technologies, including DICOM and HL7, with a strong background in both front-end and back-end development. This individual should be passionate about delivering scalable, robust, and efficient software solutions used globally. You will be an integral part of our software development lifecycle, contributing to the design, development, and maintenance of healthcare integration products. The role will involve working closely with cross-functional teams and ensuring the highest standards of product excellence. Roles and Responsibilities Software Development: Contribute to the full software development lifecycle, building integration solutions tailored to our global healthcare customer base. Cross-functional Collaboration: Work closely with data scientists, product managers, UX/UI designers, and other teams to deliver seamless integration between front-end and back-end systems. API Development: Design and implement efficient APIs and interfaces, ensuring smooth interaction between various system components. Code Quality Assurance: Conduct thorough code reviews and participate in troubleshooting to maintain the integrity and excellence of the product. Performance Optimization: Focus on optimizing applications for speed, scalability, and responsiveness across multiple devices and platforms. Architectural Insights: Participate in architectural and design discussions, offering valuable insights and suggesting improvements for overall system optimization. Continuous Learning: Stay updated with emerging technologies and industry best practices, continuously enhancing development processes and methodologies. Agile Methodology: Actively contribute to agile/scrum processes, including sprint planning, estimation, and progress tracking. Lifecycle Enhancement: Champion and improve our development lifecycle by refining architectural and process standards, implementing source control practices, and enhancing automated testing and deployment pipelines. Skills and Expertise Educational Background: A Bachelor s degree in Technology (BTech) in Computer Science or a related field, or equivalent professional experience in a technical role. Experience: Minimum of 5 years of hands-on experience in full-stack development, with at least 3 years focused specifically on healthcare IT. Healthcare Integration Knowledge: Strong understanding of DICOM and DIMSE operations. Technical Skills: Proficient in Django ORM, Django REST framework, and a solid understanding of Django's class-based views. Experience with database technologies like PostgreSQL and Redis. Familiarity with CI/CD pipelines, Docker containerization, and AWS cloud services. Healthcare IT Expertise: A robust background in healthcare IT and integration solutions. Communication Skills: Strong verbal and written communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Collaboration: Experience working in cross-functional teams, bridging the gap between technical and clinical staff to ensure seamless project execution. Integration Engine Knowledge: Experience with integration engines, such as Nextgen Mirth Connect, is highly desirable. This is an exciting opportunity to work at the forefront of healthcare technology, driving impactful change within the industry. You will be part of a fast-paced, innovative team that is committed to making a difference in the lives of patients worldwide. We offer competitive compensation, opportunities for professional growth, and a collaborative environment to nurture your skills and career. Qualification : A Bachelors degree in Technology (BTech) in Computer Science or a related field, or equivalent professional experience in a technical role.

AI/ML Engineer - Bengaluru, India Experience: 4 to 6 years About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in technology services and consulting. Operating in 65 countries with over 230,000 employees, Wipro helps organizations achieve digital transformation through innovative, future-ready solutions. Role Overview We are hiring an experienced AI/ML Engineer to work on advanced machine learning and Generative AI solutions. You will design prompt engineering pipelines, develop ML models using frameworks like TensorFlow and PyTorch, and deliver scalable backend services using Python and Django. Key Responsibilities Design and implement GenAI-based use cases using prompt engineering techniques Build REST APIs and scalable microservices using Python and Django Evaluate GenAI model performance and implement guardrails Deploy applications to Azure or AWS cloud environments Lead prompt lifecycle management including tuning, templating, and optimization Ensure integration with databases and external APIs Use CI/CD tools for continuous deployment (Azure DevOps, Jenkins, Ansible, Terraform) Mandatory Skills Python, Django, REGEX AI/ML, Deep Learning, NLP TensorFlow, PyTorch Generative AI, LLMs, RAG Pipelines REST API development Preferred Skills API Gateways: WSO2, KONG, nginx Apache HTTP Server Azure DevOps, Ansible, Jenkins, Terraform Databricks Additional Requirements Understanding of OOP, design patterns, and scalable architecture Familiarity with Docker and version control tools like GitHub or Bitbucket Team leadership in prompt engineering and stakeholder engagement Knowledge of secure prompt design to mitigate injection or leakage risks Join a forward-thinking digital transformation company where your ideas shape the future. We value diversity, innovation, and continuous learning. Applications from individuals with disabilities are highly encouraged.

Gen AI Engineer - L1 | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT consulting and services company with over 230,000 employees across 65 countries. We offer innovative solutions in consulting, engineering, and operations to solve complex digital transformation challenges. Role Overview We are looking for an experienced Gen AI Engineer - L1 with deep expertise in Generative AI, LLMs, RAG pipelines, and Python-based machine learning frameworks. The role will focus on developing secure, scalable AI systems using modern tools and cloud platforms. Key Responsibilities Design, implement, and optimize generative AI models using LangChain, LLaMA, Hugging Face, etc. Develop RAG pipelines and integrate with LLMs for advanced AI solutions. Create, test, and optimize prompt templates across different base models. Implement guardrails for prompt security to prevent prompt injection, jailbreaks, and leaks. Build efficient backend applications using Python, Django, and related tools. Work with vector databases to enhance generative AI workflows. Collaborate on data grooming and model training across business units. Benchmark model performance and develop auto-prompting systems. Ensure adherence to minimum design standards in prompt engineering use cases. Mandatory Skills Gen AI, LLMs, RAG Pipelines LangChain, LLaMA, Hugging Face Python, TensorFlow, PyTorch, Django NLP, Machine Learning, Deep Learning Vector Database integration Preferred Skills Azure or AWS Cloud Platforms MLOps, Kubernetes GitHub, Bitbucket Experience with GPT-4 Domain exposure in Banking or Financial Services Join Wipro to be part of a company that thrives on innovation, reinvention, and digital excellence. Work on impactful GenAI projects, grow your career, and contribute to shaping the future of AI in real-world applications. We welcome applications from individuals with disabilities.

Data Scientist with GenAI | Bengaluru, India About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global IT services and consulting company with over 230,000 employees in 65+ countries. We provide transformative digital solutions across consulting, engineering, and cloud. Job Overview We are seeking a skilled Data Scientist with Generative AI expertise to lead the development of AI/ML solutions using advanced technologies like LLMs, LangChain, and AWS. You will architect and implement end-to-end GenAI pipelines for enterprise-grade applications. Key Responsibilities Design and implement AI/ML solutions using Python and AWS. Develop GenAI systems using LLMs, LangChain, and RAG pipelines. Fine-tune AI models to optimize performance and accuracy. Create custom solutions when off-the-shelf tools don t meet requirements. Build SQL-based data pipelines extracting from Snowflake for model training. Integrate NLP capabilities into AI architecture to process textual data. Ensure responsible AI practices including security, fairness, and transparency. Lead and mentor team members, upholding coding and design standards. Communicate progress, risks, and strategies to stakeholders clearly. Mandatory Skills Python GenAI, LLMs AWS Cloud Services Preferred Skills NLP, AI/ML LangChain, RAG SQL, Snowflake Model fine-tuning and custom architecture development Join Wipro and be part of a global digital transformation journey. We empower talent to lead innovation and embrace reinvention. Applications from people with disabilities are explicitly encouraged.

AWS Cloud Architect Location: Bengaluru, Karnataka, India Job Category: Consulting Job Type: Regular Employee Role: Individual Contributor Job Description: The Finergy division within Oracle FSGIU focuses exclusively on the Banking, Financial Services, and Insurance (BFSI) sector. The team provides deep domain knowledge to address complex financial needs and deploys multi-channel delivery platforms, ensuring a reduction in IT intervention and time to market. With several loyal clients over a decade, Finergy also delivers end-to-end banking solutions, offering integrated dashboards and analytics to enhance operational efficiency. As part of the team, you'll be responsible for architecting highly available, scalable, and secure AWS-based solutions while collaborating with both technical and non-technical stakeholders. Responsibilities: Design and architect fault-tolerant, highly available, and scalable solutions on AWS. Utilize services like EC2, S3, Lambda, RDS, Route 53, VPC, etc., for building secure and efficient cloud infrastructure. Lead migration projects from on-premises to AWS, ensuring seamless transitions. Automate provisioning and management of AWS infrastructure using CloudFormation and similar tools. Document best practices and standards for AWS architecture and deployments. Monitor cloud infrastructure performance, resolve bottlenecks, and optimize costs. Implement security measures to meet compliance with industry standards. Stay updated on the latest AWS features and provide guidance on new solutions. Provide technical leadership and mentorship to junior team members. Work in close collaboration with development teams to address AWS-related requirements. Qualifications and Skills: Bachelor's degree in Computer Science, Engineering, or related field. 8-10 years of experience in AWS architecture. AWS Certified Solutions Architect - Professional certification is mandatory. Proven track record in designing and implementing complex AWS solutions. Expertise in networking, security, and system administration concepts. Strong programming skills, preferably in Python. Excellent problem-solving and analytical abilities. Ability to explain technical concepts clearly to both technical and non-technical stakeholders. Strong teamwork and collaboration skills. If you're passionate about leveraging AWS to build innovative, scalable, and secure cloud solutions, this is a fantastic opportunity to join an experienced team in the growing BFSI domain. Qualification : Bachelor's degree in Computer Science, Engineering, or related field.

Sr. Data Engineer - AWS - Big Data Location:Bangalore Type of Employment: Full-Time Experience Required: 7 to 10 years Job Overview: We are seeking a highly skilled Sr. Data Engineer with expertise in AWS cloud technologies and Big Data to join our Cloud Data Architect Team at Infocepts. In this critical role, you will design and implement robust data solutions using technologies like EMR, Athena, PySpark, AWS Lambda, S3, and other AWS services. The ideal candidate will have a strong foundation in database concepts and SQL and will be responsible for building scalable data pipelines to support high-performance data processing. Key Responsibilities: Technology Assessment and Design: Study the existing technology landscape and evaluate current data integration frameworks. Assist in designing complex Big Data use cases leveraging AWS services. Documentation and Stakeholder Communication: Prepare and maintain comprehensive project documentation, adhering to quality guidelines and schedules. Work closely with Architects and Project Managers to provide accurate estimations, scoping, and scheduling assistance. Clearly communicate design decisions and conduct Proof-of-Concepts to validate new solutions before implementation. Process Improvement and Automation: Identify areas for process automation to improve efficiency and team productivity. Provide expert guidance and troubleshooting support to junior Data Engineers. Training and Knowledge Sharing: Develop and deliver technology-focused training sessions for the team, ensuring continuous knowledge sharing. Share expertise through Expert Knowledge Sharing sessions with Client Stakeholders. Essential Skills: AWS Services Expertise: In-depth knowledge of S3, EC2, EMR, Athena, AWS Glue, and Lambda. Big Data Technologies: Proficiency with Apache Spark, Databricks, and Big Data table formats such as Delta Lake (open-source). Data Warehousing: Strong understanding of data warehousing concepts and architectures. Programming Skills: Advanced programming skills in Python for building data pipelines. SQL Expertise: Strong SQL skills for data transformation, aggregation, and querying large datasets. ETL Workflow Development: Expertise in creating ETL workflows with complex transformations (e.g., SCD, deduplication, aggregation). Orchestration Tools: Familiarity with orchestration tools like Apache Airflow. MPP Databases: Experience with at least one MPP database (e.g., AWS Redshift, Snowflake, SingleStore). Cloud Databases: Exposure to cloud databases like Snowflake or AWS Aurora. Desirable Skills: Cloud Databases: Familiarity with Snowflake, AWS Aurora. Big Data Technologies: Experience with Hadoop and Hive. AWS Certification: Associate or Professional Level AWS Certification. Advanced Knowledge of Big Data Solutions: Exposure to big data tools and frameworks on cloud platforms. Qualifications: Experience: 7+ years of overall IT experience, with 5+ years specifically focused on AWS-related projects. Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree is a plus). Technical Certifications: Demonstrated commitment to continuous learning through certifications or relevant training. Qualities: Strong analytical and problem-solving skills to deep dive into complex technical challenges.

Position: Cloud Data Engineer AWS Big Data Location: Bangalore, India Employment Type: Full-time Experience Required: 5 to 8 years Purpose of the Position: Join the Infocepts Cloud Data Architect Team as a Cloud Data Engineer and help design and implement cutting-edge big data solutions on AWS. You will leverage your expertise in EMR, Athena, PySpark, S3, AWS Lambda, and SQL to develop robust and scalable data platforms. Key Responsibilities: Technology Assessment and Design: Assess existing technology landscape and data integration frameworks. Design complex Big Data use cases using AWS services under guidance of the Architect. Support architectural decision-making by evaluating trade-offs in cost, performance, and durability. Recommend optimizations to existing data infrastructure. Documentation and Stakeholder Communication: Create project documentation adhering to quality and delivery standards. Collaborate closely with Architects and Project Managers for scoping, estimation, and planning. Present design decisions to technical and business stakeholders clearly. Conduct PoCs and design review sessions. Process Improvement and Automation: Identify and suggest opportunities for automation and process enhancements. Mentor junior engineers and support technical problem solving. Training and Knowledge Sharing: Prepare and deliver internal training on AWS and Big Data topics. Lead client knowledge sharing sessions and contribute to case studies. Essential Skills: In-depth experience with AWS services: S3, EC2, EMR, Athena, Glue, Lambda Familiarity with MPP databases like Redshift, Snowflake, or SingleStore Proficiency in Apache Spark and Databricks Strong programming skills in Python Experience building data pipelines using AWS and Databricks Knowledge of Big Data file formats such as Delta Lake Advanced SQL skills for large-scale data manipulation Hands-on experience with Apache Airflow or similar orchestration tools Strong understanding of ETL workflows and data warehousing concepts Desirable Skills: Cloud databases: AWS Aurora, Snowflake Experience with Hadoop and Hive AWS Certifications (Associate or Professional level) are a plus Qualifications: Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred) Overall 5+ years of IT experience with at least 3 years in AWS Big Data projects Ongoing learning and technical certifications are strongly encouraged Key Qualities: Strong problem-solving and analytical thinking Self-driven with a passion for emerging data technologies Excellent communication and client presentation skills Ability to work in cross-functional, agile teams Apply now to be part of a high-impact data transformation team working on large-scale cloud data projects! Qualification : Bachelors degree in Computer Science, Engineering, or related field (Masters preferred)

Join Us in Revolutionizing the Data Storage Industry We're leading an exciting transformation in the data storage industry. By joining us, you will have the opportunity to make a significant impact, grow alongside a brilliant team, and be at the forefront of cutting-edge technology. If you re passionate about reshaping the future of tech, this is your chance to leave your mark. The Challenge: As a DevOps Engineer, you will be responsible for managing, automating, and optimizing our VMware, cloud, and on-prem Kubernetes infrastructure. Your role will be critical in ensuring the high availability, performance, and scalability of our services. You will work closely with cross-functional teams to architect solutions that improve our engineering operations and align with business needs. Key Responsibilities: Infrastructure Design & Management: Design, deploy, and maintain scalable VMware, Cloud (AWS, GCP, Azure, IBM), and Kubernetes environments. Custom Solutions Development: Develop and implement tailored OpenStack/VMware/Kubernetes solutions based on organizational needs. Automation & CI/CD: Build automation tools and frameworks (CI/CD pipelines) to streamline infrastructure operations and manage workloads (VMs/Pods) lifecycles. Observability & Best Practices: Implement observability best practices for OpenStack/VMware/Kubernetes environments, ensuring reliability and performance. Continuous Improvement: Provide expertise in DevOps methodologies to support continuous improvement and optimize infrastructure efficiency. Troubleshooting & Support: Assist with deployment, configuration, troubleshooting, and provide infrastructure support for AWS/Azure environments. Documentation & Knowledge Sharing: Create and maintain documentation for OpenStack/VMware/Kubernetes architecture and stay current with emerging technologies and industry best practices. On-Call Support: Participate in the follow-the-sun on-call rotation for infrastructure support. What You ll Need to Bring: Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: 5+ years of experience managing and automating large-scale VMware, OpenStack, or Kubernetes environments. Programming Skills: Proficiency in Python, Java, or Go for scripting and automation. DevOps Knowledge: Strong understanding of DevOps principles with hands-on experience using tools like Ansible, Terraform, or Puppet. Observability Expertise: Experience implementing observability solutions with tools like Prometheus, Grafana, Logstash, Elastic, Fluent-bit, or Fluentd. Linux & Networking: Familiarity with Linux, TCP/IP, DNS, DHCP, and related networking concepts. OpenStack/Vmware/Kubernetes: Proven experience working with OpenStack (e.g., OpenStack Yoga), VMware, or Kubernetes (particularly enterprise Kubernetes clusters on bare metal). Virtualization & Containerization: Expertise in virtualization technologies (KVM, VMware, KubeVirt) and container technologies (Docker, Kubernetes). Cloud Experience: Experience with infrastructure support and automation for AWS, Azure, or GCP. Problem-Solving Skills: Excellent troubleshooting abilities with great attention to detail. Communication & Collaboration: Strong interpersonal skills and the ability to collaborate across teams. Preferred Qualifications: Experience with PureStorage products such as FlashArray, FlashBlade, or Portworx. Certifications in Kubernetes (CKA, CKAD), VMware (VCP), or OpenStack (COA). Experience running production VMs in KubeVirt. Familiarity with agile environments and project management tools. What You Can Expect from Us: Pure Innovation: We celebrate critical thinkers, challenges, and trailblazers who strive to innovate. Pure Growth: We support your growth and provide the space for you to contribute meaningfully. We're proud to be named in Fortune's Best Workplaces and certified as a Great Place to Work. Pure Team: We focus on collaboration and teamwork, setting aside ego for the greater good. Qualification : Bachelors degree in Computer Science, Information Technology, or related field.

Job/Position Summary: Data Engineer Responsibilities: Implement data pipelines that meet design and are efficient, scalable, and maintainable. Implement best practices including proper use of source control, participation in code reviews, data validation and testing. Timely deliveries while working on projects. Act as advisor/mentor and helps junior data engineers in their deliverables. Must Have Skills: Should have experience of at least 4+ years with Data Engineering. Strong experience of design, implementation and fine-tuning big data processing pipelines in production environment. Experience with big tools like Hadoop, Spark, Kafka, Hive, Databricks. Experience in programming at least one of with Python, Java, Scala, Shell Script. Experience with relational SQL and NO SQL databases like PostgresSQL, MYSQL, Cassandra etc. Experience with any data visualization tool (Plotly, Tableau, Power BI, Google Data Studio, Quick sight etc.). Good To Have Skills: Should have Basic Knowledge of CI/CD Pipeline. Experience in working on at least one Cloud (AWS or Azure or GCP). For AWS: - Experience with AWS Cloud services like EC2, S3, EMR, RDS, Athena, Glue, Lambda, EMR. For Azure: -Experience with Azure Cloud services like Azure Blob/Data Lake GEN2, Delta Lake, Databricks, Azure SQL, Azure DevOps, Azure Data Factory, Power BI. For GCP: - Experience with GCP Cloud services Big Query, Cloud Storage bucket, DataProc, Dataflow, Pub Sub, Cloud Function, Data Studio. Sound familiarity in Versioning tools (Git, SVN etc.). Experience Mentoring students is desirable. Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain. Open minded approach to explore multiple algorithms to design optimal solution. History of contribution to articles/blogs/whitepapers etc. in Analytics. History of contribution to Open Source. Requirement: ESSENTIAL SKILLS /COMPETENCIES Data Engineering Hadoop Kafka CI/CD Cloud

Job Title: Associate Technical Architect Software Development Experience Level: 6+ years Location: Mumbai / Bangalore About Us At Quantiphi, technology drives our business, but our diverse and inclusive culture powers our success. We believe in fostering an environment built on transparency, integrity, learning, and growth all while valuing each individual s unique contribution. If you re excited to work in a collaborative space that encourages innovation and helps you grow both professionally and personally, we would love to have you on board! Role Overview We are seeking a Software Architect with a passion for combining design and programming. In this role, you will translate UI/UX wireframes into functional, high-performance code and shape the visual and technical structure of our applications. You will collaborate closely with designers and developers, ensuring seamless design-to-code translation and optimal user experiences. Key Responsibilities Develop new user-facing features and front-end components. Design and implement scalable, stateless/stateful APIs that integrate with UI, databases, and external systems. Apply industry-standard security best practices across application development. Build reusable code and libraries to drive efficiency. Ensure UI/UX designs are technically feasible. Optimize applications for speed, responsiveness, and scalability. Collaborate closely with designers, developers, and stakeholders to deliver high-quality solutions. Architect cloud-native and scalable applications. Technical Skills Required Strong proficiency in Node.js, Angular, and React.js. Experience with jQuery, JSON, AJAX, RESTful web services. Expertise in JavaScript frameworks/libraries (Node.js, AngularJS, ReactJS, Jasmine, Ember). Proficiency in build tools like Grunt, Gulp, and Bower. Deep understanding of front-end technologies: HTML5, CSS3, JavaScript (ES6+), jQuery. Hands-on experience with client-side MVC frameworks (Node.js, ReactJS, NextJS, Redux, AngularJS). Strong database skills, including data modeling and query optimization (MySQL, PostgreSQL, MongoDB, DynamoDB). Expertise in building secure REST APIs. Understanding of cross-browser compatibility and responsive design. Proficient in code versioning tools like Git. Good knowledge of SEO principles. Strong grasp of front-end frameworks like Bootstrap and Material UI, along with preprocessors like SASS/LESS. Experience in object-oriented design and software design patterns. Excellent debugging and creative problem-solving skills. Leadership & Collaboration Lead technical teams and mentor junior developers to accelerate performance. Drive code reviews and enforce best practices to maintain high code quality. Provide technical thought leadership and introduce best practices to the project. Manage stakeholder expectations and resolve conflicts effectively. Clearly communicate technical concepts to both technical and non-technical audiences. Collaborate across departments (BA, Designers, QA, Architects) to ensure successful delivery. Nice to Have Experience working with cloud platforms like Google Cloud, AWS, Azure. Knowledge of microservices architecture and API gateway integration. Familiarity with design tools such as Photoshop, Illustrator, Figma, Sketch, XD. Experience with containerization (Docker/Kubernetes) and distributed computing. Exposure to Elasticsearch. Hands-on with Agile methodologies, TDD, Pair Programming, and Rapid Prototyping. Experience documenting technical design and processes. Knowledge of Apollo, GraphQL, Moment.js is a plus. Experience with UX/UI design is an added advantage. If you thrive in a fast-paced environment, love solving complex challenges, and enjoy collaborating with passionate teammates, Quantiphi is the place for you!

Job Title: Senior Solutions Engineer (Analytics, AI, Big Data, Public Cloud) Job Summary As a Senior Solutions Engineer (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team and work with the product team as an advocate of your customers in the field. You will help our customers achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field while finding solutions to our customers' biggest challenges in big data, analytics, data engineering, and data science problems. You will report to the Solutions Architect (SA) Manager. The Impact You Will Have You will be a Big Data Analytics expert on aspects of architecture and design. Engage with the technical community by leading presentations, workshops, seminars, and meet-ups. Lead your clients through evaluating and adopting Databricks, including hands-on Spark programming and integration with the wider cloud ecosystem. Support your customers by authoring reference architectures, how-tos, and demo applications. Integrate Databricks with 3rd-party applications to support customer architectures. Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value. What We Look For Consulting, pre-sales, or post-sales experience working with external clients across a variety of industry markets. Core strength in either data engineering or data science is advantageous. 5+ years of experience demonstrating technical concepts, including presenting and white-boarding. 4+ years of experience designing architectures within a public cloud (AWS, Azure, or GCP). 4+ years of experience with Big Data technologies, including Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. Solid coding experience in Python, R, Java, Spark, or Scala. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook.

Software Engineer - Golang (Microservices Development) Meet the Team At Cisco Secure Common Services Engineering, we are a team of cybersecurity experts and innovative engineers supporting Cisco Security products and developers. Our mission is to build secure, scalable, and seamless solutions that power the Cisco Security Cloud. As we continue to expand, we seek highly skilled engineers who are passionate about designing and building cutting-edge microservices that enhance security and performance. Your Impact As a Software Engineer, you will be responsible for developing, optimizing, and maintaining highly available, containerized microservices. You will work in an agile, collaborative environment, driving innovation while ensuring reliability and scalability. Key Responsibilities: Design, develop, and maintain microservices using Golang and REST APIs. Ensure high availability, scalability, and reliability of platform components. Optimize and enhance CI/CD pipelines to streamline deployments. Implement authentication and authorization mechanisms using OAuth and OIDC. Work with AWS cloud services such as DynamoDB, API Gateway, and Lambda. Conduct Proof of Concepts (PoCs) to evaluate and integrate new technologies. Write clean, efficient, and well-documented code following best practices. Minimum Qualifications 6+ years of experience in Golang-based microservices development. Strong expertise in RESTful API development and containerization (Docker, Kubernetes). Experience with AWS services, particularly DynamoDB, API Gateway, and Lambda. Knowledge of CI/CD processes and tools such as Terraform, Jenkins, and GitHub Actions. Understanding of OAuth, OIDC, and authentication mechanisms. Preferred Qualifications Experience with cloud-native architecture and distributed systems. Strong problem-solving skills and ability to debug complex issues. Excellent communication skills, with the ability to collaborate across teams. Passion for security, automation, and performance optimization. At Cisco, we innovate, collaborate, and grow together. We foster an inclusive and diverse work culture where everyone belongs. Cutting-Edge Work: Be part of a team shaping the future of cloud security and microservices. Career Growth: Learn, develop, and advance in an employee-first environment. Giving Back: Enjoy 80 hours of paid volunteer time annually to support causes you care about. Inclusive Culture: Join 30+ Inclusive Communities that foster belonging and collaboration. Join Cisco and be part of the future of secure, cloud-native development! Take the next step. Be you, with us!

Job Title: Linux Automation Engineer Experience: 4-8 Years Location: Bangalore Role Overview: As a Linux Automation Engineer, you will be responsible for implementing and automating infrastructure solutions that support IBM Cloud products and infrastructure. You will play a key role in building automation frameworks, managing CI/CD pipelines, ensuring security compliance, and providing technical escalation support. This role requires expertise in Linux, automation tools, cloud infrastructure, and DevOps best practices. Key Responsibilities: Infrastructure Automation & Implementation: Design, implement, and automate Linux-based infrastructure solutions for IBM Cloud. Develop automation scripts and tools to enhance system efficiency and reliability. Automate system provisioning, configuration management, and deployments. CI/CD & Test Automation: Build and manage test automation frameworks and CI/CD pipelines. Maintain and administer automated systems and DevOps tools for development and test teams. Security & Compliance: Ensure the security integrity and compliance of the infrastructure environment. Implement best practices for access control, monitoring, and auditing. Monitoring & Alerting: Develop and integrate alerting and monitoring solutions for mission-critical services. Partner with cross-functional teams to enhance system observability and reliability. Technical Support & Troubleshooting: Provide technical escalation support for Infrastructure Operations teams. Troubleshoot and resolve complex Linux, automation, and cloud infrastructure issues. Required Skills & Competencies: Strong expertise in Linux system administration and automation. Experience with infrastructure automation tools such as Ansible, Terraform, or Puppet. Hands-on experience with CI/CD tools like Jenkins, GitLab CI, or Azure DevOps. Proficiency in scripting languages (Bash, Python, or Shell scripting). Familiarity with cloud platforms (IBM Cloud, AWS, Azure, or GCP). Strong understanding of networking, security, and compliance best practices. Experience in monitoring and alerting tools like Prometheus, Grafana, or ELK Stack. Ability to work in a fast-paced, collaborative DevOps environment. Capgemini Engineering is a world leader in engineering services, empowering the most innovative companies globally. We offer: A dynamic and diverse work environment with cutting-edge technologies. Opportunities to work on industry-leading projects in cloud, automation, and DevOps. A culture of innovation, collaboration, and professional growth. Join us and be a part of a team that is shaping the future of digital transformation!

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

At Tide, we re building a finance platform to help small businesses save time and money. We offer business accounts and banking services alongside a comprehensive set of administrative solutions, from invoicing to accounting. Launched in 2017, Tide is trusted by over 1 million small businesses worldwide and is available to SMEs in the UK, India, and Germany. Headquartered in London, we have offices in Sofia, Hyderabad, Delhi, Berlin, and Belgrade, with a global team of 2,000+ employees. As we expand into new markets, we re constantly seeking passionate individuals to help us empower small businesses. About the Team The Security Engineering Team at Tide is divided into three core areas: Product Security, Threat Detection & Response, and Identity. Product Security (this role) focuses on embedding security throughout our product lifecycle, from secure design reviews and threat modeling to penetration testing, ensuring security is baked into every stage of development. Threat Detection & Response builds a robust detection and automation platform, proactively defending against emerging threats and making Tide resilient. Identity manages Tide s staff identity platform, ensuring secure access with modern strategies like zero trust and multi-factor authentication. Collaboration is central to our work standups, shared channels, and cross-functional projects keep us aligned and cohesive. About the Role We re seeking a Senior Product Security Engineer with a passion for application security and resilient software development. You ll be responsible for hunting vulnerabilities in our web and mobile applications, collaborating with engineering teams to remediate strategically, and ensuring security is seamlessly integrated into our development process. You ll be an advocate for security across the organization, mentoring engineers, and introducing the latest security tools and trends. As a Senior Product Security Engineer, you will: Dive deep into mobile and web technologies to proactively hunt for vulnerabilities. Secure cloud-native applications, ensuring best practices across Tide s AWS cloud environment. Perform threat modeling and guide teams in secure design principles to prevent vulnerabilities. Remediate vulnerabilities through strategic initiatives and hands-on patching. Act as a subject matter expert across a range of security areas, particularly application security. Mentor and coach junior engineers, sharing your expertise to raise the security bar. Integrate security into our CI/CD pipelines, leveraging automation to catch vulnerabilities early. What We re Looking For: Extensive experience in Application Security (AppSec), with a deep understanding of concepts like Secure Enclave, URL Schemes vs. Universal Links, and presigned URLs in S3. Proficiency with tools like Burp Suite (bonus points if you ve built custom extensions). Excellent communication skills able to clearly articulate vulnerabilities and advocate for their remediation. Hands-on experience with cloud-native applications and consistently applying security best practices. Ability to write proof-of-concept (POC) scripts to demonstrate findings and their potential impact. A passion for the security community public speaking, blogging, bug bounties, or sharing your work on GitHub is a plus. Our Tech Stack: Cloud Environment: 100% containerized on AWS EKS. Infrastructure as Code (IaC): Managed via Terraform and Terragrunt. Deployment: GitOps with Argo CD, supported by Helm and Crossplane. CI/CD: GitHub Actions and all source code hosted on GitHub. What You ll Get in Return: Competitive salary Health Insurance (Self & Family) Term & Life Insurance OPD Benefits Mental Well-being Support through Plumm Learning & Development Budget WFH Setup Allowance Leave Benefits: 15 Privilege Leaves, 12 Casual Leaves, 12 Sick Leaves, 3 Paid Days Off for Volunteering or L&D Activities Stock Options Tidean Ways of Working: We support a flexible workplace model, balancing remote and in-person work to meet the needs of different teams. While remote work is encouraged, we believe in face-to-face interactions to foster innovation and strengthen team spirit. Our offices are hubs for collaboration and community-building. Diversity & Inclusion at Tide: At Tide, diversity and inclusion are at the heart of our culture. Our Tideans come from diverse backgrounds, bringing unique perspectives that help us build products that resonate with our members. We are committed to creating an environment where everyone s voice is heard, and all individuals regardless of ethnicity, gender identity, sexual orientation, or disability are welcomed and celebrated. We are One Team, fostering transparency and inclusion in everything we do.