Test Data Management Jobs in Pune

AI/ML Engineer Experience: 2 3 Years Education: BBA, BSc, BTech/BE, MSc, MTech, MCA Location: Pune About the Role We are seeking a passionate AI/ML Engineer to design, build, and scale production-grade AI systems that power our platform. You will work on real-world AI problems such as document intelligence, real-time voice AI, and intelligent job-to-candidate matching systems. This role requires strong hands-on experience in LLM engineering, backend development, and AI system productionization. Required Skills Python (FastAPI) LangChain, LlamaIndex OpenAI API, Anthropic Good to Have Postgres (Pgvector), Supabase Redis Docker LangSmith GitHub Actions Roles & Responsibilities Build Agentic Workflows: Design and deploy AI agents capable of reasoning and decision-making using LangChain or LlamaIndex. Develop Voice AI Systems: Build low-latency, real-time conversational voice bots for candidate outreach using WebSockets, STT, and TTS, ensuring effective context retention and state management. Engineer Data Pipelines: Create robust parsing systems that enforce strict JSON outputs from LLMs for resume data extraction, along with data cleaning pipelines for unstructured formats (PDF/DOCX). Implement Advanced RAG Systems: Develop retrieval pipelines using Pgvector or Pinecone with hybrid search (semantic + keyword) for accurate job-to-candidate matching. Productionize & Monitor AI Systems: Set up tracing and observability using LangSmith to debug chains, monitor token usage, and optimize performance and cost. Backend Integration: Package AI logic into scalable, asynchronous microservices using FastAPI and Docker. Technical Requirements 1. Generative AI & LLM Engineering Experience enforcing structured JSON outputs using function calling. Strong prompt engineering skills (Chain-of-Thought, Few-Shot). Hands-on experience orchestrating complex AI pipelines using LangChain or LlamaIndex. 2. Voice AI & Real-Time Processing Experience with STT/TTS APIs (e.g., Whisper, Deepgram). Strong understanding of WebSockets and async programming for real-time audio streaming. Ability to design conversation managers with memory and context handling. 3. Search & Data (RAG) Experience with vector databases such as Pgvector, Pinecone, or Qdrant. Expertise in chunking, cleaning, and ingesting unstructured data. 4. MLOps & Production Engineering Observability and tracing using LangSmith. Writing automated AI evaluation scripts to test prompts before deployment. Experience optimizing cost by balancing model performance and token usage. 5. Core Backend Engineering Strong Python skills with FastAPI. Proficiency in async/await patterns for concurrent processing. Experience with Docker and relational databases (SQL). 6. Machine Learning & Algorithms Understanding of recommendation systems (Collaborative Filtering, Two-Tower models). Experience with ranking and re-ranking techniques (LTR, Cross-Encoders). Familiarity with traditional ML models using Scikit-learn or XGBoost. The Applied Mindset We Value Model Strategy: Ability to choose the right model based on cost, latency, and intelligence requirements. Security First: Awareness of prompt injection and jailbreaking risks and strategies to mitigate them. Hallucination Control: Strong grounding techniques to ensure factual and reliable AI outputs. Tech Stack Overview Languages: Python (FastAPI) AI & Orchestration: LangChain, LlamaIndex, OpenAI API, Anthropic Voice AI: Deepgram, Twilio Databases: Postgres (Pgvector), Supabase, Redis DevOps & MLOps: Docker, LangSmith, GitHub Actions Qualification : BBA, BSc, BTech/BE, MSc, MTech, MCA

Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.

Designation: Java Developer Location: Pune Work Type: Full Time About the Role At Cognologix, we help clients make sense of their large data investments by building analytics solutions and machine learning applications. As a Java Developer, you will work with cutting-edge cloud-native technologies to process terabytes of data into meaningful insights. Key Responsibilities Design, implement, and maintain high-volume, low-latency Java-based applications. Collaborate with Data Scientists, Engineers, and Product Managers to convert raw data into actionable enterprise insights. Work in a dynamic, product-focused environment to deliver enterprise-class products. Ensure optimal application performance, quality, and responsiveness. Write well-designed, testable, and maintainable code. Design and implement RESTful APIs. Continuously improve software development practices and leverage AI tools to enhance productivity. Required Skills 2+ years of experience building cloud-native microservices-based applications using Java, Spring Boot, Kafka, and SQL/NoSQL databases. Proficient in Spring, Spring Boot, and Spring Security frameworks and agile methodologies. Strong knowledge of distributed, scalable Java applications. Familiarity with AI tools to improve code quality and productivity. Hands-on experience with distributed event architectures like Kafka, AWS, OpenShift, and database management. Ability to create well-documented RESTful APIs with specification-by-example tests. Preferred Skills T-shaped skills with eagerness to work across the full stack. Exposure to containerization and orchestration tools like Docker and Kubernetes. Familiarity with monitoring tools like Prometheus. Experience with Apache Spark, Kafka, or building data pipelines. Collaboration with DevOps and Test Automation teams to improve CI/CD pipelines and developer experience. Startup-like culture with high autonomy and small teams. Opportunities to specialize in emerging technologies. Competitive salary and family benefits. Performance-based career growth. About Cognologix Cognologix empowers companies to innovate and disrupt by reimagining their business models. We are data-focused and dedicated to helping clients build the next generation of products efficiently using modern, cloud-native technologies.

Designation: QA Automation Engineer Location: Pune Work Type: Full Time Experience Required: 6 8 Years About the Role At Cognologix, we empower clients to deploy cloud-native applications confidently through robust and intelligent test automation. As a QA Automation Engineer, you will design and implement automation frameworks for integration, end-to-end, and generative testing, ensuring performance, reliability, and quality across deployments. Key Responsibilities Collaborate with developers and architects to design and develop test automation scripts. Create reusable, modular, and multi-thread-safe automation code. Improve non-functional automation performance by parallelizing test executions. Conduct test planning, defect lifecycle management, traceability matrix mapping, and security/breaking testing. Validate GenAI features such as prompt/response behavior, hallucination checks, and content moderation. Use GenAI tools (e.g., Copilot, Codium) to refactor, document, and enhance automation frameworks. Required Skills Solid experience testing microservice-oriented and cloud-native applications. Proficiency with tools such as HTTP, Curl, Postman, Fiddler, Swagger. Strong programming skills in Java, Python, or C#. Working knowledge of Linux systems and shell scripting. Expertise in test automation frameworks (e.g., JUnit, TestNG). Hands-on experience with UI testing using Selenium or similar tools. Exposure to CI/CD tools like Jenkins, GitLab CI. Ability to test AI-driven features and integrate AI tools into test processes. Preferred Skills (Good to Have) Experience with GenAI-enabled testing tools or platforms. Familiarity with fairness, bias, and explainability issues in GenAI testing. Big Data migration validation and reporting experience. Performance testing (load, stress, spike) using JMeter or Gatling. Experience in Security, Resilience, or Disaster Recovery Testing. Strong ability to validate GenAI outputs in automation pipelines. Higher degree of autonomy, startup culture & small agile teams. Remote work flexibility based on maturity and performance. Exposure to emerging technologies and GenAI tools. Competitive salary & comprehensive family benefits. Performance-based career growth. About Cognologix Cognologix helps companies disrupt and innovate by reimagining business models through cutting-edge technology. We re a data- and automation-driven organization at the forefront of digital transformation, empowering clients to confidently deliver their next-generation products.

Job Title: Team Member MDM Cell (Master Data Management) Experience Required: 3 to 5 Years Location: Pune Job Description We are seeking a skilled and detail-oriented professional to join our Master Data Management (MDM) Cell. The ideal candidate will be responsible for maintaining and improving the quality of master data, driving data governance, and supporting business operations through effective data management practices. Key Responsibilities Data Analysis & Optimization: Analyze master data and data sources to identify patterns, trends, and anomalies that can enhance operational efficiency and support data-driven decision-making. Data Audits: Conduct periodic audits of existing master data rules and ensure data integrity, accuracy, and consistency. MDM Best Practices: Provide guidance and expertise on MDM standards and best practices, helping implement robust data management frameworks across the organization. Project Coordination: Plan, coordinate, and execute MDM-related projects, ensuring they are delivered on time, within scope, and aligned with business objectives. Data Quality Improvement: Monitor and improve master data quality metrics, and reduce redundancy and discrepancies in systems and databases. Stakeholder Collaboration: Work closely with business stakeholders to gather data requirements and deliver a 360-degree view of enterprise data through tailored MDM solutions. Qualifications MBA, MCA, BCA, or a related degree 3 5 years of experience in Master Data Management or related domains Strong analytical and problem-solving skills Familiarity with data governance, quality metrics, and audit processes Ability to communicate effectively with technical and non-technical stakeholders Qualification : MBA, MCA, BCA, or a related degree

Position: Project Engineer MEP Costing Location: Pune Job Type: Full-Time Company: vConstruct (a DPR Construction Company) About vConstruct At vConstruct, we are redefining construction by building better, smarter, and faster. As a team of over 480 construction technology professionals, we partner globally to deliver services in Virtual Design & Construction (VDC), Project Controls, Cost Estimation, Data Analytics, and more. A subsidiary of DPR Construction, we support complex, large-scale projects across industries such as healthcare, life sciences, commercial, data centers, higher education, and advanced tech. On any given day, our work impacts 100+ construction projects worldwide. Role Overview We are seeking an experienced MEP Estimating Engineer to join our Costing Cluster as a Project Engineer MEP Costing. You will be responsible for reviewing project design documents (2D/3D), quantifying MEP scopes (HVAC, Plumbing, Electrical, Fire Protection, etc.), and developing detailed cost estimates for high-value global construction projects. This role requires a solid understanding of building systems, particularly MEP, and the ability to work with both local and international project teams. Key Responsibilities Prepare accurate quantity takeoffs and cost estimates using CSI Uniformat and MasterFormat coding standards. Review and interpret design drawings, specifications, RFIs, and BIM models to identify scope and discrepancies. Perform quantification across HVAC, plumbing, piping, fire protection, electrical, and low-voltage systems. Leverage 3D models (Revit, etc.) to enhance or directly extract quantity estimates. Build 3D models from 2D drawings when necessary to support estimation. Analyze design version changes and clearly communicate their cost impact. Collaborate closely with U.S.-based estimators to align on project deliverables and expectations. Proactively communicate via email and virtual meetings with global project teams. Understand and execute new workflows, platforms, and estimation processes; document and train others as needed. Support cross-functional construction estimating work beyond core MEP scopes. Requirements & Qualifications Bachelor s or Master s degree in Mechanical or Electrical Engineering (preferably with a specialization in Quantity Surveying). Minimum 2 years of experience in building construction, with a strong focus on MEP estimation. Knowledge of construction systems in sectors such as hospitals, commercial offices, data centers, manufacturing, or life sciences is preferred. Familiarity with US, European, or Indian construction documents and terminology. Working knowledge of quantification and estimation software such as Revit, Assemble, CostX, OST, or Planswift. Proficiency in Microsoft Excel and general data management for cost tracking. Strong analytical, communication, and collaboration skills. Proactive, self-driven, and capable of working independently with minimal supervision. Work on high-impact, cutting-edge global construction projects. Be part of a forward-thinking, inclusive, and collaborative team culture. Opportunity to grow with an industry leader in construction technology and virtual design. Learn continuously through exposure to global best practices and cross-functional training. Our Core Values Integrity is Integral People are Pivotal Ever Forward Spirit If you re passionate about MEP systems, cost estimation, and driving innovation in construction, we d love to hear from you. Qualification : Bachelors or Masters degree in Mechanical or Electrical Engineering (preferably with a specialization in Quantity Surveying)

Position: Manager / Senior Manager Engineering Design Location: Pune Reports To: Engineering Project Lead Educational Qualification: B.E. / B.Tech or higher in Mechanical / Automotive / Design Engineering Experience: 12 16 years Industry: Construction Equipment / Automotive / Heavy Engineering Purpose of the Role To lead the end-to-end design and development of construction and earthmoving vehicles (CEV), ensuring innovation, functionality, manufacturability, and cost-effectiveness. This role is responsible for full product lifecycle management, from concept development and prototyping to validation, production readiness, and continuous improvement. Key Responsibilities Full Lifecycle Product Development Drive product development from concept through design, prototyping, testing, manufacturing, and implementation for CEVs. Develop system and component-level solutions aligned with functional, cost, material, and manufacturing requirements. Design Execution & Evaluation Create and review system concepts to ensure innovative and competitive design. Perform 3D modeling, 2D detailing, tolerance stack-ups, and geometric dimensioning (GD&T) using industry-standard CAD tools. Ensure designs are production-ready, meeting engineering, safety, and quality standards. Testing, Validation & Analysis Coordinate testing activities, including trial setups, instrumentation, and performance evaluations. Analyze test data, validate design intent, and implement necessary modifications. Conduct complex engineering calculations for strength, stiffness, service life, and material performance. Collaboration & Coordination Coordinate with internal cross-functional teams and external partners (vendors, design houses) for development and validation activities. Provide specifications, supervise and validate output from external design service providers. Resolve engineering issues and support production and service teams with design inputs. Design Documentation & Control Create and maintain technical documentation: engineering drawings, BOMs, cost comparison sheets, and design change notes. Ensure timely execution of engineering change requests (ECRs) and track their implementation. Use PLM and ERP systems for revision control and release management. Innovation & Standardization Drive the creation of new concepts for components, systems, and subsystems. Standardize parts and subassemblies to improve design efficiency and reduce cost. Identify opportunities for process improvement and design optimization. Key Competencies & Skills Deep technical knowledge in structural systems, fabrication, and vehicle integration. Proficiency in CAD tools (e.g., Creo, CATIA, SolidWorks) and PLM systems. Strong analytical skills in engineering calculations (load path, stiffness, stress, fatigue). Expertise in GD&T, tolerance analysis, and manufacturing drawing preparation. Hands-on experience with design problem-solving and root cause analysis. Effective communication and stakeholder management skills. Ability to lead cross-functional design reviews and mentor junior engineers. Role Authorities Accountable for design ownership and lifecycle maintenance of assigned systems/products. Responsible for execution and approval of engineering changes related to design. Qualification : B.E. / B.Tech or higher in Mechanical / Automotive / Design Engineering

SAP Test Automation Engineer Location: Pune Experience Level: 5+ Years Job Summary: We are looking for a highly skilled SAP Test Automation Engineer to join our team in Pune. This role is focused on designing, developing, and executing robust automated test solutions to ensure the functionality, performance, and reliability of SAP applications. The ideal candidate will have strong experience with SAP test automation tools, functional SAP knowledge, and the ability to work collaboratively within cross-functional teams. Key Responsibilities: Design, develop, and maintain automated test scripts for SAP platforms using tools such as Tricentis Tosca, Worksoft Certify, UFT, or Selenium. Perform functional, regression, performance, and end-to-end testing across various SAP modules including SAP S/4HANA, ECC, Fiori, and integrated third-party systems. Collaborate with business analysts, developers, and stakeholders to gather testing requirements and define comprehensive test strategies. Identify and document bugs and issues; work with development teams to ensure timely resolution. Enhance existing automation frameworks for greater efficiency, scalability, and maintainability. Manage test data, oversee test environment setup, and monitor execution of automated test suites. Ensure compliance with testing best practices, quality standards, and regulatory requirements. Participate in agile ceremonies including sprint planning, backlog grooming, and design reviews to support test planning and automation feasibility. Mentor junior testers and share best practices in SAP testing and automation. Required Skills & Qualifications: Minimum 5 years of hands-on experience in SAP test automation. Proficiency in one or more automation tools: Tricentis Tosca, Worksoft Certify, UFT, Selenium. Solid understanding of SAP functional modules: SD, MM, FI, HR, PP, etc. Experience with test management tools such as JIRA, HP ALM, or qTest. Strong scripting skills in Python, Java, or VBScript. Experience in integrating automated tests into CI/CD pipelines in DevOps environments. Knowledge of API and SAP Web Services testing. Strong skills in problem-solving, test analysis, and test planning. Excellent communication and team collaboration abilities. Proven expertise in SAP Fiori and ECC testing, including both functional and automation testing. Experience in SAP migration or upgrade projects with a focus on data validation and reconciliation. Preferred Qualifications: SAP certification in testing or automation tools. Experience with SAP Solution Manager (SolMan) for test management and documentation. Familiarity with SAP S/4HANA Cloud and SAP Business Technology Platform (BTP).

Solution Architect Location: Pune Experience: 10+ Years Job Type: Full-Time Profile Summary A highly skilled and experienced Solution Architect with over a decade in the IT service industry, specializing in designing and delivering comprehensive technical solutions across diverse domains. Expert in leading complex projects and aligning technology with business goals, leveraging cutting-edge technologies such as AI, cloud computing, and software development. Proven success in collaborating with cross-functional teams to architect scalable, secure, and efficient solutions for clients across healthcare, finance, real estate, and e-commerce sectors. Key Expertise Solution Design & Architecture: Architecting end-to-end scalable, high-performance, and secure solutions aligned with business objectives. Software Development: Expertise in full-stack development with React (frontend) and Python Django (backend), delivering enterprise-grade applications. AI Integration: Implementing AI-driven solutions including Generative AI, machine learning, and predictive analytics to automate processes and enhance decision-making. Cloud Architecture: Designing and deploying cloud solutions on AWS, Azure, and Google Cloud, with deep experience in migration, infrastructure design, and DevOps. Data Management & Analytics: Leveraging data management platforms and real-time analytics for business intelligence and audience targeting. Security & Compliance: Ensuring data security and regulatory compliance (HIPAA, GDPR) in solution designs. Experience Highlights AI and Generative AI Solutions Led design and implementation of AI-powered models for content generation, predictive analytics, and real-time decision-making in healthcare and finance. Integrated AI functionalities into business applications to improve operational efficiency and user experience. Cloud Solutions Design Architected cloud infrastructures optimizing cost, security, and performance across AWS, Azure, and Google Cloud. Directed cloud migrations and implemented cloud-native services including serverless computing, container orchestration (Docker, Kubernetes), and CI/CD pipelines. Full-Stack Software Development Led teams building scalable web applications using React and Python Django. Designed microservices and REST APIs ensuring seamless integration and optimized security. Data Management & Analytics Delivered data management platforms for audience segmentation in AdTech and e-commerce. Developed real-time bidding and programmatic advertising systems integrating advanced analytics. Telemedicine & Healthcare Solutions Designed secure, compliant telemedicine platforms integrating EHR systems, ensuring HIPAA and GDPR adherence. Developed patient data management systems focusing on security and regulatory compliance. Technical Skills Languages: JavaScript, Python, HTML/CSS, SQL, TypeScript Frameworks: React, Node.js, Django, Flask AI/ML: TensorFlow, PyTorch, GPT models, Generative AI, Predictive Analytics Cloud Platforms: AWS, Azure, Google Cloud, Docker, Kubernetes Data Management: PostgreSQL, MySQL, MongoDB, Data Lakes, DMPs Security: SSL, Firewalls, IAM, Data Encryption, HIPAA, GDPR compliance DevOps: Jenkins, Git, Docker, Kubernetes, CI/CD Pipelines Soft Skills Strong leadership and collaboration with cross-functional teams. Strategic thinker balancing innovation with business objectives. Excellent client engagement and communication. Problem-solving under tight deadlines with innovative solutions. Certifications AWS Certified Solutions Architect Certified Kubernetes Administrator (CKA) Certified in Generative AI Applications Microsoft Certified: Azure Solutions Architect Expert

Job Title: Staff Software Development Engineer in Test (SDET) Company: Druva Location: Pune, India About Druva: Druva is the autonomous data security company that puts data protection on autopilot. Our 100% SaaS, fully managed platform safeguards and recovers data from all threats, ensuring availability, confidentiality, and integrity. Trusted by over 6,000 customers, including 65 of the Fortune 500, Druva delivers autonomous protection, rapid incident response, and guaranteed data recovery backed by our $10 million Data Resiliency Guarantee. As the security landscape evolves, Druva remains at the forefront, defending business-critical data in today s interconnected world. About the Cloud Platform Team: The Cloud Platform team is the backbone of Druva s SaaS operations. We design and build key features that serve both customer-facing products and internal stakeholders, playing a crucial role in scaling Druva s architecture. Our focus spans Druva Cloud Platform, Product-Led Growth (PLG), MSP Solutions, Ecosystem & Integrations, Licensing, Billing, and Revenue Systems. Together, we ensure Druva s platform is robust, scalable, and ready for the future. Role Overview: We are looking for a talented Staff SDET with 3-5 years of experience specializing in Python-Selenium automation. You will design and develop automation frameworks, create comprehensive test plans, and ensure the quality of Druva s web applications. The ideal candidate has a strong foundation in QA principles and hands-on experience in automation frameworks, along with a passion for delivering high-quality software. Key Skills & Experience: 3-5 years of experience in automation testing. Proficient with Python-Selenium, pytest, and Robot Framework. Familiarity with Unix/Linux environments, Docker, CI/CD pipelines, and version control systems like SVN/Git. Strong knowledge of automation testing principles, manual testing concepts, and various testing methodologies. Experience working with SQL databases such as MySQL, Oracle, PostgreSQL RDS. Ability to quickly analyze test failures and trace issues to product or automation code. Experience with test management tools such as X-Ray. Desirable: Exposure to AWS cloud ecosystem. Experience working within Agile frameworks such as Scrum, including story breakdown and story pointing. Responsibilities: Develop detailed test plans for medium to large-scale features. Design and enhance automation frameworks to support feature test automation. Maintain and extend existing automation suites, writing new test cases and fixing broken tests. Participate actively in test case and code reviews. Engage in bug triaging and track quality assurance metrics. Identify bottlenecks in QA processes and recommend improvements. Soft Skills: Excellent communication and teamwork abilities. Strong problem-solving skills with keen attention to detail. Ability to prioritize tasks and deliver results in a fast-paced environment. If you re passionate about quality engineering and eager to contribute to a cutting-edge cloud security platform, join us at Druva and help build the future of autonomous data protection.

Job Title: Senior Staff Software Engineer (Foundation) Company: Druva Location: Pune, India About Druva: Druva empowers organizations with cyber, data, and operational resilience through the Data Resiliency Cloud the industry s first and only SaaS solution at scale. Our platform simplifies data protection, streamlines governance, and provides unparalleled data visibility and insights, enabling customers to accelerate cloud adoption. Trusted by thousands of enterprises, including 60 of the Fortune 500, Druva eliminates complex infrastructure and management costs by delivering data resilience through a single platform spanning multiple geographies and cloud environments. About the Role: The Foundation team at Druva designs and develops a highly scalable, petabyte-scale distributed cloud file system built on AWS. This service-oriented system handles critical features such as file system metadata management, versioning, and eventual consistency using AWS services like S3, DynamoDB, and Kinesis. Beyond the core file storage engine which supports backup storage for all Druva products the team builds and maintains allied components like indexing engines, key-value stores, and big data pipelines to enable scalable search, analytics, and compliance capabilities. As a Senior Staff Software Engineer, you will collaborate closely with cross-functional teams, architects, and DevOps to define high-level and low-level designs (HLD/LLD) for advanced data security and management services. You will stay abreast of emerging trends in data security, platforms, technologies, and APIs, applying these insights to enhance existing features and develop new capabilities. You will also mentor and guide junior engineers, fostering a culture of high-quality, high-velocity software development. Key Skills & Experience: 5 to 7 years of experience building enterprise-grade software products. Expertise in designing and implementing SaaS solutions at scale. Proficiency in Python or Golang for software development. Deep knowledge and hands-on experience with cloud storage and data management systems. Proven experience building storage systems focused on securing and protecting data at scale, including managing data and metadata. Prior experience working on data protection products is highly desirable. Familiarity with cloud platforms such as AWS and Azure is a plus. Strong hands-on developer with excellent communication and collaboration skills. Ability to influence architecture, design, and implementation for timely delivery of business outcomes. Desirable: Strong written and verbal communication skills. Experience with Agile methodologies (Scrum). In-depth knowledge of AWS cloud technologies. Responsibilities: Collaborate with architects, developers, and DevOps to define HLD and LLD for data security and management services and features. Monitor and evaluate emerging trends in data security, management platforms, technologies, and APIs to refine and develop features. Lead the integration of data management tools and applications to enhance product quality and user experience. Promote best practices and principles of high-quality SaaS software development. Mentor and train junior engineers on data management, security principles, and agile development methodologies. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (Advanced degree preferred). Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field (Advanced degree preferred).

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

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

Job Title: Java Developer Experience: 5 - 7 years Location: Kharadi, Pune Role & Responsibilities Develop, test, and maintain high-quality Java applications ensuring performance and scalability. Collaborate with cross-functional teams to design, develop, and deploy end-to-end software solutions. Write clean, efficient, and well-documented code following industry best practices. Troubleshoot, debug, and optimize applications to enhance performance and reliability. Implement robust security and data protection mechanisms within applications. Work with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB) for data storage, retrieval, and management. Maintain clear and concise technical documentation for developed features and systems. Stay current with emerging Java technologies, tools, and industry trends to continuously improve development processes. Required Skills & Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 5-7 years of hands-on experience in Java development. Proficiency in Core Java, Spring Boot, Hibernate, REST APIs, and Microservices architecture. Experience with frontend frameworks such as React, Angular, or Vue.js is a plus but not mandatory. Strong knowledge of both SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) databases. Familiarity with CI/CD pipelines, Git, and version control best practices. Experience with cloud platforms like AWS, Azure, or Google Cloud is preferred. Exposure to containerization and orchestration tools such as Docker and Kubernetes is advantageous. Strong problem-solving skills and ability to thrive in a fast-paced development environment.

Salesforce Commerce Cloud Developer Pune Location: Pune Experience: 4+ Years Start Date: Immediate Salary: Best in Industry Qualification: Bachelor s Degree in Computer Science, IT, or related field Job Summary: We are seeking an experienced Salesforce Commerce Cloud Developer specializing in Salesforce B2B Commerce Cloud to join our Pune team. The ideal candidate will lead end-to-end implementation, customization, and integration of Salesforce B2B Commerce solutions, driving business growth and enhancing user experience. Key Roles & Responsibilities: 1. Salesforce B2B Commerce Implementation: Lead the design, configuration, and deployment of scalable Salesforce B2B Commerce Cloud solutions. Collaborate with business stakeholders and technical teams to gather and refine requirements. Customize B2B Commerce features, including pricing, product catalogs, and promotions. 2. Integration & Data Management: Integrate Salesforce B2B Commerce with ERP, CRM, and other enterprise systems. Ensure data accuracy with cleansing, maintenance, and synchronization processes. Monitor, troubleshoot, and resolve integration and data issues efficiently. 3. User Training & Support: Provide comprehensive training and ongoing support to end-users for optimal platform utilization. 4. Analytics & Reporting: Develop and maintain reports and dashboards to monitor key performance indicators (KPIs). Analyze commerce data trends and offer actionable insights for continuous improvement. 5. Continuous Improvement: Stay current with Salesforce B2B Commerce Cloud updates, features, and best practices. Propose and implement enhancements to improve platform performance and user experience. Required Skills & Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related discipline. Salesforce Certified B2B Commerce Developer certification (or equivalent) highly preferred. Proven experience in Salesforce B2B Commerce Cloud implementation and management. Strong proficiency with Salesforce CRM and related Salesforce technologies. Hands-on skills in HTML, CSS, JavaScript, and Apex programming. Experience with agile software development methodologies is a plus. Non-Technical Skills: Excellent verbal and written communication skills. Strong analytical and problem-solving abilities. High attention to detail and quality. Ability to work independently and collaboratively in a team environment. Work with cutting-edge Salesforce B2B Commerce Cloud technologies. Be part of a dynamic and supportive team driving digital transformation. Competitive salary with growth and learning opportunities. Flexible and collaborative work environment in Pune. Apply today to advance your career as a Salesforce Commerce Cloud Developer and help businesses scale with innovative Salesforce B2B Commerce solutions! Qualification : Bachelors degree in Computer Science, Information Technology, or a related discipline.

Informatica Senior Developer (IDMC) Pune Location: Pune Experience: 5+ Years Start Date: Immediate Salary: Best in Industry Qualification: Bachelor s / Master s Degree in Computer Science, IT, or a related field Job Summary: We are hiring a skilled and experienced Informatica Senior Developer specializing in IDMC (Informatica Intelligent Data Management Cloud) for our Pune location. The role involves leading the design and development of scalable MDM solutions, ensuring data governance, and optimizing cloud data integrations across enterprise systems. If you're looking to lead next-gen data initiatives using cloud-native technologies, this is the role for you. Key Responsibilities: MDM Architecture & Solution Design: Design scalable and secure Informatica MDM solutions on IDMC. Define enterprise-wide data governance, data modeling, and metadata frameworks. IDMC Implementation Leadership: Lead end-to-end MDM project lifecycles including development, testing, deployment, and optimization. Ensure high-quality and business-aligned IDMC solutions. Cloud Data Integration: Integrate MDM with cloud and enterprise systems using Cloud Data Integration and Cloud Application Integration. Tune data flows for maximum performance and availability. Data Governance & Compliance: Implement data security, compliance (GDPR, CCPA), and quality rules using IDMC features. Ensure consistent and accurate data across business domains. Leadership & Mentorship: Mentor junior developers and guide them through complex workflows in IDMC. Establish best practices and coding standards within the team. Cross-Team Collaboration: Partner with business analysts, data architects, and stakeholders to align MDM initiatives with enterprise goals. Troubleshooting & Continuous Improvement: Lead resolution of technical issues in production and development environments. Continuously optimize MDM workflows for better performance and efficiency. Documentation & Reporting: Maintain clear and comprehensive documentation on architecture, configurations, and workflow processes. Provide regular project status updates to leadership and stakeholders. Key Requirements: Experience & Expertise: 5+ years of hands-on experience with Informatica MDM and IDMC. Proven experience designing and deploying cloud-native MDM solutions. In-depth knowledge of Cloud Data Integration, Cloud Application Integration, and Cloud Data Quality. Technical Skills: Strong command over SQL, Java, RESTful APIs, and web services. Experience with cloud-native data architecture, governance, and data security on IDMC. Familiarity with Azure, AWS, or Google Cloud is a plus. Work in a leading-edge cloud data engineering team based in Pune. Shape the data landscape of global enterprises through MDM excellence. Enjoy a collaborative culture, flexible working environment, and top-tier compensation. Apply Now to join as an Informatica Senior Developer (IDMC) and lead transformative data initiatives from our Pune office! Qualification : Bachelors / Masters Degree in Computer Science, IT, or a related field

Minimum Qualifications: Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience in cloud architecture engineering. 4 years of experience working with IT and mainframe technologies such as COBOL, PL/I, RPG, Assembler, JCL, VSAM files, CICS, DB2, IMS, etc. 4 years of experience in mainframe modernization. Hands-on experience with mainframe migration and modernization tools like Micro Focus, Astadia, mLogica, and experience in data migration from mainframes to modern databases. Preferred Qualifications: 4 years of experience in Java development, especially with the Spring Boot framework. Experience in leading and delivering multiple mainframe modernization projects using tools such as Micro Focus, mLogica, Astadia, Java, etc. Proven experience in leading the scoping, proposal development, and writing of Statements of Work (SOW) for mainframe modernization projects. Familiarity with DevOps practices, CI/CD pipelines, containerization, and cloud platforms. Knowledge of IT security best practices (e.g., encryption, certificates, key management). Experience with Cloud products such as Google Cloud Platform (GCP) or other similar cloud technologies. About the Role: As a Cloud Mainframe Modernization Consultant, you will guide customers through configuring, migrating, and deploying their mainframe systems to Google Cloud. In this role, you may travel to customer sites to deploy solutions and conduct workshops to educate and empower customers. You will also collaborate with product teams to drive the development of Google Cloud products and features. As part of Google Cloud, you will work with some of our most important customers, supporting their implementation of Google Cloud products. This includes providing architecture guidance, best practices, data migration assistance, capacity planning, implementation, troubleshooting, monitoring, and more. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We provide enterprise-grade solutions leveraging Google s cutting-edge technology, tools that help developers build more sustainably, and trusted partnerships with customers in over 200 countries and territories, solving their most critical business problems. Responsibilities: Serve as a trusted technical advisor to customers, solving complex Cloud Mainframe migration challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations tailored to various business and technical stakeholders. Utilize a range of modernization tools and products to modernize mainframe systems. Assist customers in designing migration architectures and estimating total operating costs. Lead the delivery of complex mainframe migration projects, providing technical governance, leading teams, and ensuring project success through teamwork and collaboration. Qualification : Bachelors degree in Computer Science, a related technical field, or equivalent practical experience in cloud architecture engineering.

Tech Lead Data Overview: As a Tech Lead Data, you will provide technical leadership to a team of experts, helping implement information-driven strategies and systems that support agricultural scientists in developing solutions for growers. You will manage end-to-end implementation of data environments beyond architectural design, ensuring that real-life data systems are developed and executed efficiently. You are a highly motivated problem solver with the ability to prioritize shifting workloads in a dynamic environment. You are an effective communicator and a confident leader passionate about making things happen within a fast-paced organization. Key Responsibilities: Lead the development of data and analytics capabilities within the R&D node of the enterprise data mesh, implementing architectural blueprints for various data platforms. Develop and implement an organizational data strategy aligned with business processes, including data model design, database development standards, and management of data warehouses and analytics systems. Identify and manage both internal and external data sources, creating a data management plan aligned with the organizational strategy. Collaborate with cross-functional teams, stakeholders, and vendors to ensure the smooth functioning of the enterprise data ecosystem. Guide the technical direction of data projects and initiatives, ensuring best practices in data engineering and analytics. Integrate technical functionality to ensure data accessibility, accuracy, and security. Perform continuous audits of data management systems and address performance issues, reporting breaches or vulnerabilities to stakeholders. Experience & Skills Required: 9+ years of experience in Big Data, data warehousing, data analytics, and/or Information Management projects. Proven experience building large-scale enterprise data architectures using both commercial and open-source Data Analytics technologies. Strong data modeling and architecture skills, including expertise in data warehousing, data normalization, and dimensional modeling (e.g., OLAP, data vault). Understanding of predictive modeling, Natural Language Processing (NLP), text analysis, and Machine Learning. Knowledge of security integration, including Kerberos authentication, SAML, data security, privacy techniques like data masking, and tokenization. Experience with DevOps engineering and Continuous Integration/Delivery tools. In-depth understanding of AWS Cloud solutions and integrating into legacy systems and COTS solutions. Familiarity with the following tools: Data Ingestion: Snaplogic, Glue, Lambda Storage: S3 Processing: Databricks DWH: Redshift, Databricks SQL Warehouse Databases: RDS Languages: Python (pyspark), SQL (sparksql), Java, R BI Tools: PowerBI, Dash, Spotfire, Qlik Catalog: Glue catalog, Unity Catalog Streaming: Kafka, EventHub AI/ML: MLOps, SageMaker Storage/Dataframe: S3, Deltalake, Iceberg, Parquet Qualifications: University bachelor s degree in Science, Technology, Engineering, or Mathematics (STEM). Fluency in English. Strong customer focus with excellent communication, teamwork, and negotiation skills. In-depth technical experience, ideally with AWS certification. Experience implementing data-first solutions. Experiences to be Gained: Continuous upskilling in the latest technologies, tools, and design practices. Exposure to R&D operations. Development of leadership and relationship-building skills with internal customers. Company Description: Syngenta Group is one of the world s leading sustainable agriculture innovation companies, with over 53,000 people in more than 100 countries. We strive to transform agriculture through tailor-made solutions for farmers, society, and the planet. We are committed to maintaining high standards of ethics, integrity, and creating an inclusive, discrimination-free workplace. Additional Information: Syngenta is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, veteran status, disability, or any other legally protected status. Qualification : University bachelors degree in Science, Technology, Engineering, or Mathematics (STEM).

Job Requirements Software QA Analyst Join our Industrial & Energy Technology Team! Baker Hughes Digital is looking for an experienced Software Engineer to work on a number of exciting projects that will have a very positive impact on Baker Hughes' business. Partner with the best You will act as a member of the Software Center of Excellence, representing high-quality design and development practices. As a Software QA - Analyst, you will be responsible for: Acting as a member of the Software Center of Excellence, representing the face of high-quality design and development practices Developing high performing, scaling, and innovative end-to-end web applications Collaborating with system engineers and software developers to implement solutions that are aligned with and extend shared platforms and solutions. Applying principles of SDLC and methodologies like Lean/Agile/XP, CI, Software and Product Security, Scalability, Documentation Practices, refactoring, and Testing Techniques Writing codes that meets standards and delivers desired functionality using the technology selected for the project. Building features such as web services and Queries on existing tables Understanding performance parameters and assess application performance. Working on core data structures and algorithms and implement them using language of choice. Fuel your passion. To be successful in this role you will: Electronics/instrumentation Engineering background is preferred. Minimum 3-4 years of proven experience as a Quality Assurance Tester Have good knowledge of SW QA methodologies, tools & processes & experience writing comprehensive test plans & cases. Familiarity with Agile Software development processes and regression testing Hands-on with UI/API Testing (REST service testing), BDD Experienced working with any of the tools- JIRA/Azure DevOps. Working knowledge of test management software like Rally, TFS, MTM etc. (preferably cucumber). Knowledge of test automation framework, tools is preferred such as Python, Java & Selenium. Knowledge of any static code analysis tools like SonarQube, Security analysis tools such as Checkmarks & Quails/Zap. Knowledge of Jenkins and JMeter is a plus. Work in a way that works for you. We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns: Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other. Working for you Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect: Contemporary work-life balance policies and wellbeing activities Comprehensive private medical care options Safety net of life insurance and disability programs Tailored financial programs Additional elected or voluntary benefits

Job Title: Performance Engineer Major Responsibilities: Troubleshoot, isolate, and resolve application code issues as well as technical problems related to hardware, software, infrastructure, and networks. Implement and recommend performance improvements across cloud platforms (GCP/Azure) and on-premises environments for tiered systems. Establish and monitor application health by creating dashboards, identifying key performance indicators (KPIs), setting up service-level agreements (SLAs), and implementing alerting, logging, and tracing mechanisms. Utilize network profiling tools (e.g., WireShark, Fiddler) to troubleshoot application and script issues. Conduct root cause analysis of production performance issues and recommend corrective actions to developers. Set up and execute automated performance tests using Docker images; build and destroy application/load test infrastructure as required. Design, script, configure, and execute performance tests for web, mobile, and API systems to validate system performance and stability. Perform performance analysis, benchmarking, and modeling to identify bottlenecks, optimize system parameters, and guide architectural improvements. Actively monitor systems in both production and non-production environments, proactively alerting core teams to prevent potential issues. Develop and maintain the organization s Performance Test Strategy, roadmap, automated test data creation strategy, and reporting approach. Gain a deep understanding of application architecture, infrastructure, non-functional requirements, and production workloads. Stay up to date with the latest industry trends and advancements, continuously evolving the technology stack. Recommended Education/Experience/Skills: Education: Bachelor s degree in Engineering/Technology (Computer Science or a related field) or Master s in Computer Applications. Experience: 4+ years in Software Engineering or Performance Engineering, with at least 1 year of direct experience in Performance Engineering or Software Engineering roles. Strong understanding of application and OS memory management and tuning databases like MongoDB or other NoSQL databases. Experience in conducting performance tests and working knowledge of chaos engineering. Familiarity with DevOps tools, Python, .NET, Angular, and SQL is a plus. In-depth knowledge of web technologies such as HTTP, cookies, AJAX, etc. Proficiency with industry-standard tools like LoadRunner, Neoload, and/or JMeter. Hands-on experience with CI/CD processes and Infrastructure as Code (IaC). 2+ years of experience with performance monitoring tools like Dynatrace, AppDynamics, New Relic, and database monitoring tools such as SQL Profiler, OEM, etc. Strong work experience in distributed environments, including on-premises, Azure, GCP, AWS, or SaaS platforms. Leadership capabilities, including mentoring, coaching, and training team members. Excellent problem-solving and communication skills, with the ability to work in a fast-paced and dynamic environment with minimal supervision. Qualification : Education: Bachelors degree in Engineering/Technology (Computer Science or a related field) or Masters in Computer Applications.