AWS Glue Jobs in Bengaluru

Position: Technical Support Engineer - L2 Job Type: Full-Time Location: Bangalore Department: Technical Support About BlueOptima: At BlueOptima, our mission is to be the global leader in optimizing the performance of software engineers across all industries. Through our cutting-edge metrics in software development, we empower large organizations to build better software, faster and at lower costs. Our innovative technology pushes the boundaries of what s possible, making a real difference in software delivery. With a global presence including offices in London, India, Mexico, the US, and Japan we are a diverse team of 120 people from over 20 countries. We foster a collaborative, open-minded environment where every individual can create their own success story in a high-performance setting. Job Description: As a Technical Support Engineer - L2, you will play a critical role as the senior technical leader between customer-facing teams, Product Management, and Engineering. You will provide deep technical expertise, troubleshooting complex issues, contributing to product development, and ensuring the smooth success of customer engagements. This role is highly dynamic and involves working closely with multiple teams, managing escalated support cases, coordinating new features and fixes, and creating internal best practices. Key Responsibilities: Customer Success Support: Act as a technical lead for pre-sales, deployment, and support teams. Troubleshoot escalated support issues, replicate environments, and collaborate with engineering to resolve problems quickly and efficiently. Product Feedback & Roadmap Alignment: Actively participate in "road-testing" pre-release software, providing crucial feedback to Product Management, and helping ensure customer requirements are aligned with the product roadmap. Technical Exploration & Research: Lead deep technical investigations, such as benchmarking custom use cases, and prototype new features to improve the overall customer experience. Enablement & Knowledge Sharing: Contribute to internal documentation, including product capabilities and best practices, and deliver regular training sessions to technical teams to promote continuous learning. Qualifications: Core Technical Skills: Advanced Systems Administration: Expertise in Linux and Windows, including performance tuning, kernel parameters, and filesystem management. Scripting Skills: Strong proficiency in Bash, Python, or similar languages to automate complex tasks and gather detailed debugging data. Enterprise Storage: Experience with SAN, NAS, and related enterprise storage technologies and architectures. Disaster Recovery: Hands-on experience with data copy, replication, and disaster recovery solutions. Cloud Storage: Experience working with Cloud Object Stores like AWS S3, Azure, or Google Cloud. Virtualization & Containerization: Knowledge of Docker, IaaS, and PaaS technologies. Additional Technical Skills: In-depth knowledge of version control systems (Git, Subversion). Familiarity with security concepts (Kerberos, SSL/TLS, LDAP). Advanced networking knowledge, including packet tracing and tuning. Understanding of Java concepts and integrations. Experience & Education: 10-15 years of experience in IT, with a focus on Linux-based systems and enterprise environments. Bachelor s degree in Computer Science or a related field. Soft Skills: Communication: Ability to explain complex technical concepts to both technical and non-technical audiences. Problem-Solving: Strong methodical troubleshooting skills and the ability to think critically in high-pressure situations. Customer-Facing Experience: Previous experience in customer-facing roles, with the ability to manage expectations and deliver results. Calm Under Pressure: A composed, professional demeanor even in high-stakes situations. Continuous Learning: Enthusiasm and curiosity to stay ahead of new technologies and industry trends. At BlueOptima, you ll be part of a pioneering company with a mission to transform the way software performance is optimized. We value innovation, collaboration, and individual growth, offering a dynamic and high-performance environment where your contributions truly make an impact. If you re looking to advance your career while working with cutting-edge technology, BlueOptima is the place to be. Qualification : Bachelors degree in Computer Science or a related field

Position: Senior Java Web Backend Engineer Job Type: Full-time Location: Bengaluru Department: Engineering About BlueOptima: At BlueOptima, our vision is to become the global reference for optimizing the performance of software engineers across all industries. We provide industry-leading objective metrics in software development, enabling large organizations to deliver better software, faster, and at a lower cost through technology that pushes the limits of what has been done before. As a fast-growing global company, we ve consistently doubled our headcount and revenue year over year, without external investment. Our headquarters is in London, with additional offices in Mexico, India, and the US. Our diverse team consists of 210+ employees from 34+ nationalities and speaks over 25 languages. We foster an open-minded environment and encourage employees to create their own success stories within this high-performance atmosphere. Job Description: We are looking for a Senior Java Web Backend Engineer with extensive experience in designing, building, and maintaining scalable SaaS applications using Java/J2EE technologies. The ideal candidate will be a tech enthusiast, committed to excellence, and eager to take on a leadership role as a mentor to a team of talented engineers. You ll be part of a self-managed Agile team, where you will actively contribute to improving development processes, bringing new ideas to the table, and proposing improvements in methodology, management, and organization. Key Responsibilities: Application Development & Maintenance: Design, develop, implement, test, and maintain application software components. Requirements Analysis: Analyze client requirements and convert them into technical specifications, ensuring alignment with project goals. Feature Ownership: Take ownership of development for new features and continuous improvements to the platform. Performance Optimization: Identify and resolve performance bottlenecks, ensuring high scalability and efficiency of the system. Architecture Improvement: Identify architectural inefficiencies, and create and execute a roadmap to address and resolve them. Leadership & Mentorship: Lead and mentor junior developers, fostering their technical growth and career development. Client Interaction: Provide technical support to client-facing teams and occasionally interact with clients to resolve issues related to your component. What You Need to Succeed at BlueOptima: Education: Minimum Bachelor's degree in Computer Science or equivalent. Self-Sufficiency: Ability to work autonomously with minimal supervision. Problem-Solving Skills: Strong analytical and problem-solving capabilities, coupled with a can-do attitude. Agile Methodologies: Experience with Agile methodologies (e.g., SCRUM, Sprints) and leading small Scrum teams. Commitment to Excellence: Focused on completing tasks efficiently and reliably while identifying the best approach to solving complex problems. Must-Have Technical Skills: Java Expertise: 5+ years of experience with Java, J2EE/Java EE, Spring, and Spring Boot. Architectural Knowledge: Solid understanding of Monolithic, SOA, and Microservices architectures. Concurrency & Thread-Safety: Strong knowledge of Java concurrency patterns and experience building thread-safe applications. Database Skills: Expertise in relational databases, partitioning, indexing techniques, and SQL (PostgreSQL). System Design: Experience creating high and low-level design documents based on application architecture. Linux Proficiency: Familiarity with Linux shell and command-line tools. Testing Skills: Strong grasp of unit testing and integration testing frameworks. Cloud Platform Experience: Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud (e.g., S3, EC2, Lambda). Message Queues & Streaming: Familiarity with message queues (e.g., Kafka, RabbitMQ, SQS) for high-performance, scalable systems. Monitoring & Logging: Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Datadog, ELK Stack, Splunk). At BlueOptima, we believe in accelerating your career progression. You ll have the opportunity to strengthen your skills, take on diverse challenges, and quickly grow within the organization. We support your development every step of the way, with a clear path to leadership and technical expertise in a fast-paced, innovative environment. Qualification : Bachelor's degree in Computer Science or equivalent

Software Development Manager Experience: 8+ Years Location: Bangalore Company: Kaleidofin About Us Kaleidofin is a mission-driven fintech platform committed to delivering financial solutions for underserved communities. Our proprietary ki credit platform combines advanced credit health analytics, middleware integration, risk dashboards, and debt capital structuring empowering financial institutions to serve low-income customers, informal sector businesses, and MSMEs more effectively. Operating across India, Bangladesh, and Kenya, we ve already impacted over 6 million customers, enabling over $3 billion in debt capital for underserved communities. Backed by global investors including the Gates Foundation, Omidyar Network, and Blume Ventures, Kaleidofin is recognized as a leader in inclusive finance. Featured on Forbes Asia's "100 to Watch" Winner of RBI s Swanari TechSprint 2023 Winner of G20 TechSprint 2024 by BIS Certified as a Great Place to Work Role Overview As a Software Development Manager, you will play a key leadership role in shaping the technical roadmap and executing high-impact fintech products. You ll lead a team of engineers to build scalable, secure, and robust systems. This is a hands-on leadership role requiring active involvement in design, architecture, and code-level decisions. What You ll Do Own the product s engineering roadmap, architecture, scalability, and code quality. Guide system design decisions and lead architecture/code reviews. Collaborate closely with Product and Business teams to align on product strategy and feature development. Provide hands-on technical leadership especially in solving complex problems in fintech and lending domains. Mentor and develop engineering talent; foster a culture of ownership, innovation, and quality. Champion engineering best practices including test automation, CI/CD, and DevOps. Lead the adoption of data-driven practices including Big Data, PySpark, and data pipeline architectures. Balance short-term deliverables with long-term technical sustainability and scalability. Support team growth through career development, learning plans, and succession planning. 8+ years of software development experience, with 1 2+ years in people/team management roles. Strong fundamentals in computer science, system design, and problem-solving. Bachelor's or Master's degree in CS or related field from a top engineering institution (IITs, NITs, etc.). Proven experience building distributed, scalable, and secure systems. Strong hands-on experience with Python, Java, Spring Boot, and microservice architectures. Proficient in SQL/NoSQL, Kafka, CI/CD pipelines, and DevOps tools (Docker, Kubernetes, Jenkins, etc.). Familiarity with AI/ML model integration and credit scoring systems is a strong plus. Experience with data engineering: Big Data, Spark, Airflow, AWS stack (S3, Glue, Athena), etc. Knowledge of front-end and mobile (Android) development is a plus. Experience working in fintech, lending tech, or high-growth startup environments preferred. Excellent leadership, communication, and cross-functional collaboration skills. Be part of a high-impact team driving financial inclusion at scale. Work on cutting-edge technology in fintech and data infrastructure. Grow with a company that s winning global recognition and delivering real-world impact. Contribute to a people-first culture that values learning, innovation, and work-life balance. Qualification : Bachelor's or Master's degree in CS or related field from a top engineering institution

Position: Data Architect Location: Remote/Hybrid | Bengaluru, IND We're searching for a highly skilled and experienced Data Architect to join our team. If you have a deep understanding of big data technologies and extensive experience with Hadoop, Python, Snowflake, and Databricks, you're the ideal candidate. You'll be responsible for designing, implementing, and managing complex data architectures that support our critical business needs and objectives. What You'll Do: Design & Architecture Leadership: Design scalable and efficient data architecture solutions that meet current and future business data needs. Lead the development of data models, schemas, and databases, ensuring alignment with business requirements. Architect and implement robust data solutions on leading cloud platforms (AWS, Azure, or GCP). Data Management & Governance: Develop and maintain robust data pipelines and ETL processes using Hadoop, Databricks, and other essential tools. Oversee data integration and quality efforts to ensure consistency and reliability across the organization. Implement data governance best practices, focusing on data security, privacy, and compliance. Collaboration & Mentorship: Work closely with data engineers, data scientists, and business stakeholders to translate data requirements into effective technical solutions. Provide technical leadership and mentorship to junior data engineers and architects. Collaborate with cross-functional teams to ensure data solutions align perfectly with overall business goals. Optimization & Innovation: Optimize existing data architectures for peak performance, scalability, and cost-efficiency. Monitor and troubleshoot data systems to ensure high availability and reliability. Continuously evaluate and recommend new tools and technologies to improve our data architecture. What You'll Bring: Experience: 10+ years in data architecture, data engineering, or a related field. Big Data Expertise: Proven experience with Hadoop ecosystems (HDFS, MapReduce, Hive, HBase). Programming Prowess: Strong programming skills in Python for data processing and automation. Data Platform Mastery: Hands-on experience with Snowflake for data warehousing and Databricks for analytics. Cloud Fluency: Extensive experience with cloud platforms (AWS, Azure, GCP) and their data services. Data Modeling: Familiarity with data modeling tools and methodologies. Core Skills: Deep understanding of big data technologies and distributed computing. Strong problem-solving skills to design solutions for complex data challenges. Excellent communication skills, able to explain complex technical concepts clearly to diverse audiences. Proficient in SQL and database performance tuning. Experience with CI/CD pipelines and automation in data environments. Education: Bachelor's degree in Computer Science, Information Technology, or a related field. Preferred Qualifications: Advanced Degree: A Master's degree in a related field. Cloud Certifications: Certifications like AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate. Additional Languages: Experience with other programming languages like Java or Scala. Machine Learning Integration: Knowledge of machine learning frameworks and their integration with data pipelines.

Red Team Hacker / Pen Tester (Onsite, Bangalore) Who We Are ColorTokens We re on a mission to keep businesses running safe and sound even when cyber attackers try to mess things up. Our next-gen platform, ColorTokens Xshield , stops ransomware and malware from spreading sideways inside companies, so critical stuff stays locked down and working. We ve got mad skills in spotting and controlling traffic between all kinds of devices and users from your typical laptops to IoT and medical gadgets. That means we can slice and dice security zones to keep bad actors contained. Forrester calls us a Leader in Microsegmentation (Q3 2024), and we help global companies avoid big $$$ downtime. Our Vibe We re all about hustling with heart. You ll get to own your projects, work with smart teammates, and solve tough problems that actually protect people from kids in hospitals to entire cities. If you re driven, curious, and ready to make a real impact, you ll fit right in. The Gig What You ll Do Run epic red team ops that mimic real-world hackers trying to break in. Hack (ethically!) into networks, apps (web, mobile, APIs), and cloud setups to find weaknesses. Build your own scripts and tools to level up your tests and dodge detection. Team up with defenders (blue team) to boost how we spot and stop attacks. Write clear, no-fluff reports with proof-of-concept hacks and smart fixes. Keep your finger on the pulse of the latest threats and hacker tricks. Jump into purple teaming and adversary simulations to sharpen our edge. Bachelor s in Cybersecurity, CS, or you ve got real-world chops that match. 6+ years deep in red teaming, pentesting across web, APIs, infrastructure, and cloud. Pro with tools like Cobalt Strike, Metasploit, Nessus, Burp Suite, Nmap, and scripting (Python/PowerShell/Bash). Solid grasp of MITRE ATT&CK, threat modeling, and adversary emulation. Know Windows & Linux inside out, Active Directory, plus cloud platforms (AWS, Azure, GCP). Bonus points if you re into social engineering, phishing, or physical security. Skilled at writing docs that actually make sense. Must-have certifications: OSCP is a must; CRTP, OSCE, OSEP, CRTE, GPEN, GXPN are pluses. Qualification : Bachelor's degree in Cybersecurity, Computer Science, or related field (or equivalent experience).

Senior Associate Infrastructure L1 (AWS) Location: Bengaluru, India Department: Infrastructure & Cloud Engineering Employment Type: Full-Time About the Role As a Senior Associate Infrastructure L1 (AWS), you will design, implement, and manage secure, scalable, and highly available cloud infrastructure for enterprise digital transformation initiatives. You ll collaborate with cross-functional teams to automate deployments, enable DevOps best practices, and ensure robust observability across systems. Your goal is to reduce time-to-market and optimize performance, cost, and compliance. Key Responsibilities Architect and build immutable infrastructure on AWS and/or other cloud platforms. Implement and maintain infrastructure as code using Terraform, CloudFormation, or similar. Manage containerized environments using Kubernetes (EKS/GKE), ECS, Docker, and Helm. Implement service mesh (e.g., Istio) for advanced traffic management, monitoring, and security. Develop and manage CI/CD pipelines using Jenkins, GitLab, CircleCI, or similar. Automate build/deployment processes using Groovy, Go, Python, Shell, or PowerShell. Integrate DevSecOps and security scanning into the software delivery lifecycle. Configure and maintain monitoring, logging, and observability using: Monitoring: Prometheus, Grafana, Datadog, New Relic Logging: ELK Stack, Fluentd, Splunk Observability: OpenTelemetry, Jaeger, Kiali, CloudTrail, Dynatrace Troubleshoot infrastructure, performance, and deployment issues. Collaborate with application teams and stakeholders to ensure high performance and availability of deployed services. Required Skills & Qualifications 4 to 12 years of experience in Cloud Infrastructure & DevOps roles. Bachelor's or Master s degree in Engineering, Computer Science, or related field. Hands-on experience with AWS (EC2, VPC, IAM, Lambda, RDS, CloudWatch, etc.) Solid experience in container orchestration using Kubernetes (EKS/GKE) and infrastructure management. Expert in IaC tools like Terraform (preferred), ARM templates, Pulumi, etc. Proficiency in CI/CD pipeline automation and scripting. Familiarity with cloud-native security practices and vulnerability scanning tools. Experience with DNS, Load Balancers, and high-volume application infrastructure setup. Hands-on experience with artifact repositories like Nexus or Artifactory. Preferred Certifications (Nice to Have) Associate-level certifications in AWS, Azure, or GCP HashiCorp Certified Terraform Associate Benefits Gender-neutral workplace policies 18 paid holidays per year Generous parental leave and new parent transition support Flexible work arrangements Comprehensive Employee Assistance Program (mental & physical wellness) About Publicis Sapient Publicis Sapient is a global digital transformation partner helping established organizations evolve into their future state through technology, data, consulting, and customer-first experiences. With over 20,000 employees across 53 offices, we combine deep domain knowledge with a start-up mindset and agile methods to solve complex business challenges.

Job Title: Engineering Manager Data Engineering Location: Bengaluru, Karnataka, India Department: Engineering Experience: 6 to 8 years Open Positions: 2 About the Role As an Engineering Manager - Data Engineering, you will lead a team of skilled data engineers who design, build, and maintain scalable data pipelines and infrastructure. You will collaborate with cross-functional teams and client stakeholders to deliver high-quality data systems that meet business goals. Your leadership will be pivotal in mentoring your team, driving project execution, and advancing data engineering capabilities across the organization. Key Responsibilities Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive work environment. Conduct performance reviews, provide constructive feedback, and set clear goals for team members. Identify skill gaps and create opportunities for continuous professional growth. Plan, execute, and deliver data engineering projects on schedule and within scope. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure all projects align with broader business objectives and data strategies. Oversee design, development, and maintenance of data pipelines, ETL processes, and data warehouses. Guarantee data quality, integrity, and security in all data engineering initiatives. Identify and drive process improvements to enhance efficiency and effectiveness in data operations. Manage client conversations to understand requirements and translate them into technical deliverables. Build and promote reusable frameworks to drive efficiency in data systems. Lead multiple projects involving streaming, batch, and large-scale data pipelines. Required Technical Skills Strong execution knowledge of data modeling, relational and non-relational databases (SQL and NoSQL). Expertise with ETL and orchestration tools such as IICS, Metatron, Airflow, Azure Data Factory, AWS Glue, or GCP Composer. Experience working with data warehouses like Snowflake, Redshift, Hive, or BigQuery. Proficiency in Apache Spark and optimization of Spark jobs. Strong programming skills in Python (mandatory), with knowledge of Scala, Rust, or Java as a plus. Understanding of Medallion architecture patterns. Advanced SQL skills with query optimization expertise. Experience with software development lifecycle, unit testing, and functional programming concepts. Required Non-Technical Skills Strong problem-solving skills with the ability to assess financial impacts of decisions. Excellent written and verbal communication skills, capable of engaging with mid-management client stakeholders. Ability to balance pragmatic solutions against perfect ones, driving team consensus and business value. Exceptional people management skills, including conflict resolution, empathy, negotiation, and active listening. Proven leadership and mentorship abilities, providing technical guidance to delivery teams. Self-driven, with a strong sense of ownership and accountability. Preferred Educational Qualifications Bachelor s degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics). Lead and mentor a talented team working on cutting-edge data engineering projects. Collaborate closely with clients and cross-functional teams in a dynamic, fast-growing company. Drive innovation with scalable, high-impact data solutions. Grow your leadership and technical skills in a supportive, inclusive environment. Qualification : Bachelors degree in Engineering (B.E./B.Tech), MCA, or M.Sc. (Mathematics, Statistics).

Job Title: Senior Developer SQL & Snowflake Location: Bangalore, India Experience: 7+ Years (Minimum 3+ years in Snowflake) Employment Type: Full-Time Job Overview: We are seeking a highly skilled Senior Snowflake Developer to join a global financial services project for a client operating in public/private loans, CLOs, and long/short credit. The ideal candidate will bring expertise in Snowflake, SQL, Coalesce, and Fivetran, with a strong background in data integration and cloud-based data warehousing. You will be instrumental in driving forward key data initiatives and delivering innovative, scalable data solutions in a fast-paced, agile environment. Key Responsibilities: Design, develop, and optimize Snowflake objects including databases, schemas, tables, views, and stored procedures. Build and maintain Snowflake data pipelines utilizing tools like SnowSQL, SnowPipe, Streams, and Tasks. Implement data loading strategies using COPY, PUT, GET, LIST, and REMOVE commands for batch and bulk data movement. Ensure seamless migration and integration of data from Azure Cloud to Snowflake with high attention to performance and data integrity. Define and manage Snowflake roles, custom role hierarchies, masking policies, and network policies for enhanced security and governance. Use Coalesce and Fivetran for designing and managing ETL/ELT workflows that extract and transform data from MS SQL Server. Write complex T-SQL queries, stored procedures, triggers, and functions for data transformation and reporting. Collaborate closely with cross-functional teams to understand requirements and translate them into technical solutions. Participate in Agile sprints, offering technical guidance, solution design, and timely issue resolution. Required Skills & Qualifications: 8+ years of total IT experience with at least 3+ years of Snowflake development experience. In-depth understanding of Snowflake architecture, utilities, and performance optimization techniques. Strong expertise in MS SQL Server with proficiency in writing advanced T-SQL scripts. Hands-on experience with ETL tools like Coalesce and Fivetran. Proficiency in Azure Data Integration strategies and tools. Excellent problem-solving and communication skills. Experience working in an Agile development environment. Preferred Skills: Prior exposure or high-level understanding of hedge funds, private equity, or private debt domains. Familiarity with data governance and compliance requirements in financial institutions. What s on Offer: Competitive and above-market salary. Hybrid work model with flexibility. Opportunity to work on cutting-edge technology in global financial markets. Collaborative, innovation-driven team culture. Education: Bachelor s degree in Computer Science, Information Technology, Finance, Economics, or a related discipline.

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

Data Architect Bangalore, India Location: Bangalore (Bengaluru) Experience: 10 to 15 Years Industry: IT & Data Systems Job Summary: We are seeking an experienced Data Architect with a strong background in designing and implementing enterprise-scale data solutions. The ideal candidate will have expertise in building data lakes, warehouses, and pipelines, with deep knowledge of cloud platforms, data management, and industry best practices. Key Responsibilities: Design, develop, and maintain complex data architectures including data lakes, data warehouses, data marts, and efficient schema design Build and optimize scalable data pipelines for extraction, transformation, and loading (ETL/ELT) processes Apply Agile methodologies in project delivery and collaborate within cross-functional teams Perform data profiling, cleansing, conversion, and ensure high-quality data management for both structured and unstructured data Implement CI/CD and Infrastructure as Code (IaC) practices using tools like GitHub, Jenkins, CloudFormation, and Azure Resource Manager Manage database systems and tools such as PostgreSQL, Oracle, Snowflake, Teradata, MongoDB, Hadoop, and others Utilize data modeling tools like Erwin, Power Designer, and Toad for effective data architecture design Leverage cloud platforms including AWS and Microsoft Azure, with hands-on experience in services like AWS Glue, DMS, Lambda, Azure Data Factory, Synapse, and Data Lake Storage Work with programming and scripting languages including SQL, PL/SQL, Python, Spark, YAML, and JSON Use containerization and automation tools such as Docker, Ansible, and NodeJS for efficient deployment Ensure compliance with cybersecurity principles and frameworks such as NIST Lead data governance initiatives and enforce best practices in data quality and security Preferred Qualifications: ITIL certification and experience with Agile methodology Knowledge of code review and version control best practices, especially in GitHub Familiarity with data science tools and AI/ML frameworks like R, Keras, or TensorFlow Experience with natural language processing (NLP) and machine learning concepts Background in regulated industries, with pharma manufacturing experience highly preferred Exposure to multi-site, global IT projects and manufacturing operations Lead innovative data architecture projects within a dynamic and fast-paced environment Work with cutting-edge cloud technologies and big data ecosystems Collaborate with global teams on impactful enterprise solutions Access to professional growth opportunities in data governance, AI, and cloud technologies

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

AI Platform Architect Location: Bangalore, Karnataka, India Employment Type: Full-Time About Adobe Adobe is changing the world through digital experiences. Whether you're an emerging artist or a global brand, our tools empower creativity and innovation across every screen. From powerful imaging and video solutions to immersive web and app design, Adobe s mission is to help people and businesses deliver exceptional digital experiences. We are committed to creating an inclusive workplace where everyone is respected and given equal opportunity. Innovation can come from anywhere and the next big idea could be yours. Job Description We are looking for a visionary AI Platform Architect with deep expertise in building and scaling cloud-native, AI-powered platforms. The ideal candidate will have experience deploying large-scale, customer-facing AI solutions and a deep understanding of modern cloud architecture, data systems, MLOps, and LLMOps. Responsibilities Design and develop scalable AI/ML platforms and pipelines across AWS, Azure, and GCP. Architect end-to-end LLM pipelines including model training, fine-tuning, serving, inference APIs, and monitoring. Lead cross-functional teams in delivering AI solutions from experimentation to production. Implement MLOps and LLMOps best practices using tools like MLFlow, SageMaker, Langchain, and LangGraph. Design GPU-optimized architectures for training and inference of LLMs using DeepSpeed, vLLM, and other modern frameworks. Support infrastructure automation and container orchestration with Kubernetes, Docker, and CI/CD pipelines. Collaborate with internal stakeholders and clients to understand requirements, evangelize platform solutions, and ensure successful delivery. Key Skills and Expertise Cloud and DevOps: Expertise in AWS, Azure, GCP especially VPC design, cloud databases, and serverless architecture. Certified in AWS Professional Solution Architect, AWS ML Specialty, or Azure Solutions Architect Expert (preferred). Proficient with Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus. Data and Streaming: Experience with OLTP/OLAP databases and cloud-native data warehouses like BigQuery, Aurora, Spanner. Hands-on with Kafka, Apache Flink, Spark, Airflow, Databricks, Apache Iceberg, Presto. AI/ML & LLM Expertise: In-depth understanding of LLMs (GPT, Gemini, Claude, Mixtral, Llama, Hugging Face OSS models). LLMOps frameworks: Langchain, Langgraph, Langflow, Flowise, LLamaIndex. ML lifecycle tools: MLFlow, SageMaker, Vertex AI, Azure AI, AWS Bedrock. Proven experience in model optimization, fine-tuning, and high-throughput inference systems. Programming Languages: Proficient in Python, SQL, and JavaScript. Preferred Qualifications 10+ years in cloud and AI/ML platform architecture roles. Experience delivering AI solutions for enterprise-scale clients. Hands-on experience with GPU architecture and parallel/distributed training. Strong communication skills with ability to influence technical and business stakeholders. Work on cutting-edge AI technologies and shape future product experiences used by millions. Collaborate with world-class engineers and scientists in a diverse, inclusive culture. Be part of a company that values creativity, innovation, and employee well-being. Adobe is proud to be an Equal Opportunity Employer. We welcome and encourage candidates from all backgrounds to apply.

Gen AI AWS Engineer | Bengaluru, India Experience: 8 10 Years Mandatory Skills: AWS, Generative AI About Wipro Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a global leader in consulting and technology services with over 230,000 employees across 65 countries. We provide digital transformation solutions that are innovative, sustainable, and scalable. Role Overview We are hiring a highly skilled Gen AI AWS Engineer to lead the architecture, development, and delivery of AI-driven cloud solutions. This role focuses on leveraging AWS infrastructure and Generative AI technologies to solve complex business problems at scale. Key Responsibilities Architecture and Solution Design Design and implement scalable AI/ML solutions using AWS and GenAI frameworks. Lead solution design for enterprise initiatives and RFPs. Develop architectural documentation and reusable design patterns. Evaluate current architectures and recommend improvements and modernization plans. Delivery Enablement Provide frameworks and technical direction to development teams. Monitor project risks and propose mitigation strategies. Ensure alignment with architecture principles and best practices. Client Engagement Participate in pre-sales activities and client presentations. Build trusted relationships with clients by demonstrating technical thought leadership. Coordinate with stakeholders to ensure successful delivery of AI solutions. Innovation & Competency Building Create PoCs, whitepapers, and solution demos in GenAI and AWS domains. Represent Wipro s capabilities at industry events and internal forums. Mentor junior architects and contribute to internal upskilling initiatives. Team Management Recruit, train, and retain high-performing AI/ML engineers. Conduct performance reviews and set goals for team members. Drive employee engagement and diversity across the architecture team. Be part of a company that thrives on innovation, reinvention, and purpose. Work with cutting-edge Generative AI solutions and lead impactful transformations for global clients. Applications from individuals with disabilities are explicitly welcome.

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: Senior Python Expert Experience: 3 to 8 years Overview of the Role: This role sets the benchmark for team software development processes and deployment procedures, while actively contributing to establishing best practices and methodologies within the team. Responsibilities: Develop backend services using Python Flask or similar web frameworks. Design and maintain data and pipeline management frameworks using open-source technologies such as Hadoop, Hive, Spark, HBase, Kafka Streaming, Tableau, Airflow, and cloud-based data engineering services like S3, Redshift, Athena, Kinesis. Design and develop efficient CRUD operations for large datasets with millions of records. Collaborate with teams to build and maintain innovative, reliable, secure, and cost-effective distributed solutions. Own and deliver complex application components within defined timelines. Ensure quality delivery using best practices in API development, performance, and scalability. Participate in customer communication, presentations, and resolution of critical issues. Contribute to architecture, feature set, and design decisions. Proactively recognize and address requirement inconsistencies and project risks. Break down work effectively and estimate accurately. Serve as a technical mentor and role model within the team. Required Skills: Strong knowledge of Python and a web framework like Flask. Experience with AWS services such as EC2, S3, Lambda, Step Functions, Glue, SNS, SQS, Secret Manager, and CodeBuild/CodePipeline. Solid understanding of SQL, including query writing, optimization, and database interaction tools. Experience with API development (RESTful services, Postman, API Gateway). Strong coding, debugging, and problem-solving skills. Understanding of architectural trade-offs and data engineering principles (data acquisition, ingestion, distributed processing, high availability). Ability to independently handle delivery of complex projects. Excellent team management and individual contributor skills. Good to Have Skills: Experience with Big Data frameworks like Hadoop and Spark. Knowledge of AWS Aurora. Familiarity with pip, setuptools, etc. Education: B.E./B.Tech, MCA, M.E./M.Tech.

Job Title: L2 Support Lead Cloud Native Microservices Location: Pune, India Company: Blue Yonder Experience: 5+ years Education: Bachelor s Degree in Computer Science, Engineering, or related field About Blue Yonder Blue Yonder is a leading AI-driven Global Supply Chain Solutions provider, recognized by Glassdoor as one of the Best Places to Work. We specialize in cloud-native solutions that power intelligent supply chains and optimize commerce for some of the world s biggest brands. We are seeking a highly motivated and hands-on L2 Support Lead to oversee production support for cloud-native microservices-based commerce solutions deployed on Azure and GCP. Scope of the Role You will lead and mentor an L2 support team, responsible for triaging production issues, resolving functional and technical defects, and working closely with cross-functional engineering teams. Your focus will be on delivering best-in-class support to global customers, while ensuring the team continuously enhances its technical capabilities. Key Responsibilities Lead the L2 Support team, guiding associates in technical analysis, issue triage, and defect resolution. Act as a hands-on technical mentor, helping junior and mid-level team members grow their technical and product knowledge. Perform root cause analysis for functional and technical production issues, ensuring timely resolution. Support cloud-native microservices for Commerce customers, deployed on Azure and GCP. Participate in backlog grooming, sprint planning, stand-ups, and retrospectives, contributing to team direction and prioritization. Collaborate with product engineering teams, providing feedback and improvement recommendations from a supportability perspective. Ensure the team maintains strong documentation practices for knowledge sharing and future reference. Drive a continuous improvement mindset, identifying opportunities to enhance processes, automation, and response times. Foster a customer-first culture by ensuring timely, clear communication with internal and external stakeholders. Technical Environment Languages & Frameworks: Java, Spring Boot Architecture: Microservices, Event-Driven, Multi-Tenant, Scalable, and Resilient Cloud Platforms: Azure & GCP Other Technologies: Kubernetes, Kafka, Elasticsearch, Cassandra, MongoDB, Snowflake Version Control & Deployment: GIT, Rest API, OAuth Minimum 5+ years of experience with Spring Boot and Kafka in production support or engineering roles. Proven experience leading small to mid-sized teams for technical and product support in a cloud-native environment. Strong hands-on knowledge of microservices architecture running at scale on cloud platforms like Azure, GCP, or AWS. Solid understanding of caching frameworks (e.g., Hazelcast, RabbitMQ). Experience with cloud deployment processes and monitoring solutions. Strong troubleshooting and root cause analysis skills. Excellent communication skills to engage with global stakeholders. Understanding of product implementation processes and support best practices. Good to Have Experience in working on Commerce or Retail solutions. Exposure to log aggregation and distributed tracing tools. Ability to script/automate repetitive tasks to improve operational efficiency. Be part of a global, collaborative team working on innovative supply chain and commerce solutions. Work with the latest cloud technologies in a fast-paced, agile environment. Opportunity to mentor and shape the next generation of support engineers. Thrive in a workplace that values diversity, inclusion, and continuous learning. Diversity, Inclusion, Value & Equity (DIVE) At Blue Yonder, we embrace diverse perspectives and foster an inclusive culture where every voice is valued. We encourage applicants from all backgrounds to apply and contribute to our innovative, collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Qualification : Bachelors Degree in Computer Science, Engineering, or related field

Job Title: Security Architect Identity & Access Management Location: Bengaluru, India Company: Blue Yonder Experience: 10+ years (including at least 5+ years in IAM) Education: Bachelor's or Master's degree in Cybersecurity, Computer Science, or related field About Blue Yonder Blue Yonder is a recognized leader in AI-driven supply chain solutions, trusted by global brands to optimize their digital commerce and supply chain operations. We thrive on innovation, collaboration, and creating technology that powers smarter supply chains. As we continue to strengthen our security posture, we are seeking a Security Architect IAM to own, evolve, and safeguard Blue Yonder s identity landscape, ensuring consistent and compliant IAM controls across the organization s global footprint. Role Scope The Security Architect IAM will play a strategic and hands-on role in defining, implementing, and managing end-to-end identity and access management capabilities for Blue Yonder. This role requires deep technical expertise, leadership acumen, and a strong understanding of cloud-based identity ecosystems, ensuring secure access to critical systems and data. Key Responsibilities Define, develop, and manage a comprehensive IAM strategy, aligned with Blue Yonder s business goals, security policies, and compliance mandates. Design, implement, and enhance authentication, authorization, identity provisioning, access governance, and privileged access management (PAM) solutions, adopting best practices and industry standards. Conduct risk assessments to identify IAM vulnerabilities and define risk mitigation plans. Lead the technical implementation of IAM solutions and provide ongoing oversight to ensure operational excellence. Develop and enforce IAM policies, procedures, and standards to foster consistent security across the enterprise. Ensure IAM solutions adhere to regulatory requirements (GDPR, HIPAA, PCI DSS, SOX) and align with frameworks like NIST-CSF and ISO/IEC 27001. Integrate IAM capabilities with other security solutions (SIEM, endpoint security, etc.) for comprehensive protection. Establish and track Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) for the IAM program. Stay updated with emerging threats, technology advancements, and industry trends, adapting the IAM strategy accordingly. Conduct maturity assessments and develop continuous improvement plans for the IAM service. Participate in security architecture reviews and work with enterprise architects to embed IAM controls into broader IT and product architecture. Partner with GRC teams to ensure all IAM-related risks are properly documented and managed, driving remediation where necessary. Collaborate with application development teams to ensure secure-by-design development and deployment of new applications. Required Qualifications & Experience 10+ years of overall cybersecurity experience, with at least 5+ years specifically focused on IAM. Strong background designing and implementing cloud-based IAM solutions (Azure AD, AWS IAM, GCP IAM). Proven expertise across: Active Directory, LDAP, SSO, MFA SAML, OAuth, OpenID Connect Privileged Access Management (PAM) and Identity Governance (IGA) Experience managing IAM programs across hybrid environments (on-prem & cloud). Strong understanding of: Secrets management, encryption, PKI, digital certificates Zero Trust Security models Experience identifying, analyzing, and remediating IAM-related security risks. Knowledge of regulatory requirements (GDPR, HIPAA, SOX, PCI DSS) and experience translating those into practical IAM controls. Demonstrated ability to lead complex IAM projects, collaborating across multiple business units and technical teams. Excellent communication and stakeholder management skills, capable of interacting with both technical teams and business leadership. Preferred Certifications CISM Certified Information Security Manager CISSP Certified Information Systems Security Professional Relevant Cloud Security certifications (Azure Security Engineer, AWS Security Specialty, GCP Security Engineer) Good to Have Skills Experience integrating IAM with: CI/CD pipelines and DevSecOps practices Containerized environments (Kubernetes, Docker) Exposure to distributed tracing and logging tools for IAM services. Experience automating IAM processes for provisioning, deprovisioning, and audit reporting. Be a part of a global leader in supply chain technology. Work on cutting-edge IAM technologies in a cloud-first environment. Partner with cross-functional teams to drive impactful security programs. Join a culture that values diversity, innovation, and continuous learning. Diversity & Inclusion at Blue Yonder At Blue Yonder, we celebrate diversity in all forms. Our DIVE (Diversity, Inclusion, Value & Equity) strategy ensures every associate feels included, respected, and empowered to bring their authentic self to work. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. Qualification : Bachelor's or Master's degree in Cybersecurity, Computer Science, or related field