Cloud Monitoring Jobs in Pune

Node.js Developer Experience: 2 5 Years Education: BSc, BTech/BE, BCA, MSc, MTech, MCA Location: Pune About the Role We are seeking an experienced Node.js Developer to join our growing engineering team. The ideal candidate will have strong backend development expertise, a solid understanding of scalable architectures, and a passion for writing clean, maintainable code. You will play a key role in designing and building high-performance backend systems that support our business applications. Required Skills Node.js, JavaScript Express.js, LoopBack (NestJS exposure is a plus) REST API development MySQL or other relational databases Good to Have AWS or other cloud platforms CI/CD pipelines and deployment workflows Key Responsibilities Design, develop, and maintain scalable backend applications using Node.js. Architect backend solutions during the requirement and design phases. Build and integrate secure, high-performance REST APIs. Collaborate with cross-functional teams to improve system design and functionality. Ensure code quality, scalability, and adherence to best development practices. Perform code reviews and mentor junior developers. Deploy and manage applications on cloud platforms such as AWS or Azure. Troubleshoot, debug, and optimize backend services. Technical Requirements 2+ years of hands-on experience in backend development with Node.js. Proficiency with backend frameworks such as Express, LoopBack, or NestJS. Strong experience with relational databases (MySQL, PostgreSQL). Familiarity with NoSQL databases such as MongoDB or DynamoDB. Good understanding of scalable system architecture and design patterns. Experience with code quality tools such as ESLint, Prettier, and static analysis tools. Strong problem-solving skills and ability to translate business requirements into technical solutions. Experience working in collaborative, cross-functional teams. Nice to Have Experience with cloud platforms like AWS or Azure. Exposure to CI/CD tools and automated deployment pipelines. Experience managing production deployments and monitoring applications. Qualification : BSc, BTech/BE, BCA, MSc, MTech, MCA

Job Title: Engineering Manager Order Management System (OMS) Location: Pune Role Overview: As the Engineering Manager Order Management System (OMS), you will be responsible for leading the design, development, and continuous evolution of a large-scale, distributed eCommerce platform. This platform processes high transaction volumes and integrates with complex third-party systems. You will manage a full-stack engineering team, ensuring system scalability, performance, and resilience while fostering a culture of ownership, technical excellence, and collaboration. Key Responsibilities: Own the full product lifecycle: Lead the conceptualization, architecture, design, implementation, deployment, and maintenance of the OMS and its integrations. Lead and mentor a team of 10+ engineers, guiding them through technical challenges and driving both backend and frontend development efforts to successful delivery. Architect scalable, distributed systems that handle high volumes of orders, inventory updates, and third-party data exchanges across the platform. Drive eCommerce integration strategy, collaborating with various systems including marketplaces, ERPs, WMS, payment gateways, and 3PLs to ensure robust data synchronization. Take technical ownership of both backend and frontend components, from database schema and API design to UI architecture and performance optimization. Establish and enforce engineering best practices, including coding standards, CI/CD workflows, observability, and security compliance, to ensure consistency and quality across the team. Be **hands-on** when necessary actively contributing to code, reviewing critical modules, and troubleshooting complex production issues. Ensure high availability, scalability, and data integrity in every design decision, embedding performance and security into the development lifecycle. Collaborate cross-functionally with Product, QA, DevOps, and Customer Success teams to ensure alignment between technical delivery and business priorities. Recruit and develop talent within the team, conducting technical interviews and nurturing a strong engineering culture. What You ll Bring: 12+ years of software engineering experience, with at least 4 5 years of hands-on experience in Ruby on Rails (RoR) backend development. Proven success in building and scaling distributed, event-driven systems that can handle high transaction volumes and complex integrations. Strong Angular expertise: Experience leading teams to deliver rich, responsive web applications. Deep knowledge of eCommerce and OMS domain concepts, including order lifecycle, inventory management, shipments, returns, and third-party partner integrations. Expertise in PostgreSQL/MySQL: Proficiency in schema design, query optimization, and performance tuning. Familiarity with RESTful APIs, webhooks, and common integration patterns for external systems. Experience working with cloud platforms (preferably AWS) and managing CI/CD pipelines for continuous deployment and delivery. Proven experience as an Engineering Manager or Technical Lead, with a track record of mentoring engineers and managing delivery across multiple engineering modules. A passion for building reliable, secure, and performant systems that deliver measurable business impact and enhance the customer experience. Excellent communication, organizational, and problem-solving skills, with the ability to effectively manage complex technical challenges. A strong sense of ownership, self-motivation, and a growth-oriented mindset, always striving to improve processes and systems. Nice to Have: Experience with microservices, asynchronous job processing, or message queues (e.g., Sidekiq, Resque, RabbitMQ). Exposure to SaaS or multi-tenant architectures. Familiarity with containerization (e.g., Docker) and monitoring tools (e.g., Grafana, ELK, Prometheus). Understanding of API versioning, rate limiting, and data consistency patterns in large-scale distributed systems. Innovative Environment: Work on a high-impact eCommerce platform that powers complex integrations and supports millions of transactions globally. Leadership Opportunity: Lead and mentor a talented team of engineers while driving technical strategy and best practices. Career Growth: Be part of a rapidly growing company with opportunities to develop both technically and professionally in a collaborative, dynamic environment. Impactful Work: Your work will directly impact the success of a highly scalable, high-performance platform that serves leading global businesses. If you are an experienced engineering leader with a passion for building scalable and resilient systems in the eCommerce domain, we would love to hear from you!

Job Title: Database Administrator Location: Pune About Anchanto At Anchanto, we are enabling simpler, faster, and scalable eCommerce operations through our innovative and intelligent SaaS platforms. Our mission is to transform the way businesses conduct eCommerce, making backend operations more efficient for companies of all sizes. With a headquarters in Singapore, a global product engineering center in Pune, India, and a strong local presence in the countries we serve, Anchanto continues to grow rapidly, serving over 300 customers worldwide. As part of our expanding engineering team, we are seeking an experienced Database Administrator (DBA) to help us manage, optimize, and scale our database infrastructure. If you re passionate about database solutions and eager to work with cutting-edge technology in a fast-growing product company, we want to hear from you! Role Overview As a Database Administrator, you will be responsible for developing, managing, and optimizing database solutions to support our growing eCommerce platforms. Your expertise will ensure the high performance, availability, and security of our databases, including MySQL, Postgres, and potentially NoSQL databases. You will work closely with development teams to understand their needs and provide optimal database solutions, from design to performance tuning and high-availability configurations. Key Responsibilities Develop and design database solutions: Define the database physical structure and functional capabilities, ensuring they align with system requirements and security protocols. Database performance management: Configure and manage AWS RDS services, monitor database health, troubleshoot issues, and take corrective action as needed. Troubleshoot and resolve database issues: Act quickly to resolve database outages, errors, or performance issues, including providing after-hours and weekend support when necessary. Proactively monitor DB performance: Set up and configure monitoring tools to help detect potential risks and performance bottlenecks before they impact operations. Optimize database performance: Recommend and implement strategies for hardware upgrades, query optimization, indexing improvements, and server configuration adjustments to boost performance. Collaborate with development teams: Work closely with engineers to understand their database needs and design the most efficient and scalable database solutions. Ensure high availability and disaster recovery: Configure databases for high availability, clustering, and cloud deployment to maintain uptime and data redundancy. Administer database best practices: Own the database backup, restore, and retrieval processes, ensuring that all procedures adhere to best practices and compliance standards. Learning and adopting new technologies: Stay up to date with database technologies, including MySQL, Postgres, and NoSQL databases, and apply knowledge to improve solutions across the platform. What You ll Bring At least 5 years of hands-on experience as a DBA, with strong expertise in database administration, including backup management, performance monitoring, and tuning. Experience with MySQL and/or Postgres: Strong command over these relational databases, including managing stored procedures, triggers, indexes, and optimizing SQL queries for performance. AWS RDS experience: Proficiency in configuring and managing AWS RDS services, with an understanding of cloud-based database management. Strong knowledge of database design: Excellent understanding of data modeling and database schema design, with hands-on expertise in optimizing DB architecture for scalability and performance. Proven expertise in database tuning and performance optimization: Demonstrated ability to troubleshoot and optimize database performance for high-volume transactional systems. Experience with NoSQL databases: Exposure to NoSQL technologies such as MongoDB or Cassandra is a plus, as you may be involved in integrating such systems in the future. Bonus: Experience with Data Warehouse or BI (Business Intelligence) systems is a plus. Bonus: Prior experience in building high-performance e-commerce software is highly desirable. Strong communication and collaboration skills: Ability to work cross-functionally with development, DevOps, and other teams to ensure database solutions meet the needs of the business. Innovative & Fast-Growing Company: Join a dynamic, fast-growing SaaS company that is revolutionizing eCommerce operations for businesses worldwide. Cutting-Edge Technology: Work with modern database technologies, cloud platforms, and AI-powered solutions in an agile and collaborative environment. Career Growth: At Anchanto, we prioritize learning and development, offering a strong career path for those passionate about technology and growth. Work-Life Balance: We believe in a healthy work-life balance and offer flexible working hours and a supportive environment. Global Impact: Your work will impact hundreds of businesses globally, enhancing the performance and efficiency of their eCommerce platforms. If you're an experienced DBA looking for an exciting new challenge with a fast-growing product company, Anchanto could be the perfect place for you. Apply now to join our team and contribute to the next generation of eCommerce technology!

AI Platform Engineer II Location: Pune Overview At Rapid7, we are looking for an AI Platform Engineer to help us build production-ready, agent-based AI experiences on Google Cloud (Vertex AI) and OpenAI platforms. You will be directly responsible for developing and shipping features such as AI agents, tools, and lightweight UIs that plug into our internal systems and data, driving productivity improvements across the company. As part of the AI Platform team, you will be involved in designing, implementing, and refining AI models and tools that integrate seamlessly with enterprise systems, while ensuring reliability, security, and scalability. Key Responsibilities Agentic Development with Vertex AI: Design and implement multi-step agents using Vertex AI (Agent Builder / Gemini), incorporating agent behaviors such as tool use, memory, and evaluation loops to create intelligent, autonomous workflows. MCP & Tool Integrations: Develop Model Context Protocol (MCP) connectors and API integrations that enable agents to interact with enterprise systems while maintaining least-privilege access and security standards. RAG & Data Grounding: Implement retrieval-augmented generation (RAG), utilizing vector stores, embeddings, and schema-aware prompts, while ensuring agents produce accurate and auditable outputs through robust guardrails. Vertex-based UI for Agents: Prototype intuitive chat interfaces and task UIs, including features like session history, tool invocation panels, and feedback widgets. Embed AI agents into existing internal applications to streamline workflows and improve user experience. Integration & Data Access: Connect AI agents to internal APIs and enterprise data sources (e.g., BigQuery, REST APIs, webhooks) using Google Cloud tools, ensuring smooth data access and system integration. Quality & Telemetry: Define key performance indicators (KPIs) such as quality, latency, and cost-efficiency for AI-powered features. Implement logging, monitoring, and observability to track performance and run structured experiments to improve agent behavior and outcomes. Requirements Experience 2 3 years of hands-on experience in software or AI application engineering, with a focus on creating and deploying custom AI agents, particularly using Gemini / Vertex AI Agent Builder. Technical Skills Proficiency with Google Cloud (Vertex AI, BigQuery, Cloud Run/Functions) and at least one large language model (LLM) API (e.g., OpenAI or Gemini). Experience building small end-to-end features, including backend APIs, agent logic, and basic UI for demos and production environments. Familiarity with agent frameworks such as LangGraph or LangChain, and common agent patterns like tool use, planning, and memory management. Knowledge of retrieval-augmented generation (RAG), including chunking, embeddings, and retrieval, along with prompt testing and evaluation. Collaboration Skills Ability to work cross-functionally with security, data, and application teams to ensure safe and efficient deployment of AI-driven solutions. Nice to Have Experience with GCP IAM, secrets management, and enterprise compliance considerations. Familiarity with Vertex AI Search, vector databases, or event/webhook architectures. Interest in emerging AI standards, MCP, responsible AI practices, and optimization for cost/performance. About Rapid7 At Rapid7, we are on a mission to create a secure digital world for our customers, industry, and communities. We empower our employees to challenge the status quo and drive transformative change. With over 11,000 customers relying on us for cybersecurity protection, we continue to innovate and solve some of the most challenging problems in the industry. Security and Compliance Rapid7 is committed to safeguarding our customers' security. All employees uphold the highest standards of security and privacy, ensuring sensitive information is protected and compliance with relevant regulations is maintained.

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.

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Senior ETL Engineer Location: Pune Role Overview: We are seeking a Senior ETL Engineer to design, develop, and optimize our end-to-end data infrastructure, including ETL pipelines, data lakes, and data warehouses. This role is instrumental in enabling reliable, scalable, and high-performance data operations while aligning with data governance best practices. You will be an integral part of a collaborative data team, working closely with Data Engineers, Architects, Analysts, Scientists, and other stakeholders to modernize and migrate our data systems to the cloud. Key Responsibilities: Convert SSIS stored procedures into Matillion mappings, and develop associated job schedules and audit frameworks. Design, build, and maintain efficient ETL pipelines to extract, transform, and load data from multiple sources into the data lake and data warehouse. Implement both full and incremental loads using SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) methodologies for real-time and batch data processing. Develop and maintain robust error handling, job monitoring, and job audit mechanisms. Conduct data profiling, data cleansing, and root cause analysis to resolve data inconsistencies and improve data quality. Optimize data pipelines for performance, scalability, and data quality, using benchmarking and tuning techniques. Build dashboards or reports for ETL job monitoring, performance tracking, and system health checks. Support data governance practices, ensuring accuracy, availability, and security of production data. Contribute to cloud migration initiatives, transitioning data workloads from on-premise systems to modern cloud data platforms. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as an ETL Engineer, Data Engineer, or in a similar data engineering role. Experience with cloud-based data platforms such as AWS, Azure, or GCP. Proficiency with data warehousing technologies like Snowflake, Redshift, Azure Synapse, or Databricks. Hands-on experience with ETL tools such as Matillion, SSIS, Informatica, AWS Glue, Azure Data Factory, StreamSets, STRiim, Oracle ODI, Coalesce, or Talend. Solid understanding of data modeling principles (E/R and Dimensional Modeling) and tools like ER/Studio or ERwin. Proficiency with SQL and programming/scripting languages such as Python, Scala, or Java. Experience with database tools such as Microsoft SSMS or Oracle Developer. Strong analytical, problem-solving, and data troubleshooting skills. Excellent communication and collaboration abilities. Ability to work efficiently in a fast-paced, agile, and dynamic environment. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field.

Job Title: Manager, Cloud Operations Company: Druva Location: Pune, Maharashtra, India About Druva: Druva is a global leader in data security solutions, empowering organizations to protect and recover their data from all threats. Our Druva Data Security Cloud is a fully managed SaaS platform providing air-gapped and immutable data protection across cloud, on-premises, and edge environments. By centralizing data protection, we strengthen traditional security approaches and enable faster incident response, effective cyber remediation, and robust data governance. Trusted by nearly 7,500 customers including 75 of the Fortune 500 Druva safeguards critical business data in an increasingly connected world. Learn more at druva.com and follow us on LinkedIn, X, and Facebook. Role Overview: As Manager of Cloud Operations, you will lead the team responsible for the stability, scalability, and performance of Druva s cloud infrastructure within our large-scale SaaS environment. This hands-on leadership role demands a deep technical background in AWS cloud operations combined with strong people management skills. You will drive operational excellence through automation, cost management, and rigorous adherence to security and compliance standards, ensuring our services remain highly available 24x7. Key Responsibilities: Team Leadership & Development: Lead, mentor, and support a team of cloud engineers to deliver high-quality results. Foster a collaborative environment and remove blockers to maximize team productivity. Manage hiring, coaching, and retention to build a high-performing team. Technical Strategy & Execution: Drive automation initiatives to minimize manual tasks, boost reliability, and optimize operational workflows. Enforce compliance with security policies and industry regulations. Collaborate closely with DevOps and SRE teams to continuously enhance infrastructure and processes. Champion cost-efficiency while maintaining top-tier system performance. System Reliability & Performance: Monitor and review system health regularly; identify and address any breaches in Service Level Objectives (SLOs). Ensure cloud infrastructure is secure, scalable, and highly available through proactive incident management. Lead incident response, root cause analysis, and post-mortems to improve service resilience. Cross-Functional Collaboration: Partner with engineering teams to ensure smooth deployment of SaaS services to production. Conduct cross-team meetings to communicate deployment quality and status with Release and Host Domain (RHD) owners. Cost of Goods Sold (COGS) Management: Maintain adherence to reservation posture and optimize cloud resource usage. Detect and report COGS anomalies using automated tools and internal alerts. Analyze unit cost trends and customer behavior to identify and address cost irregularities. Security & Compliance: Conduct regular compliance validations and audits. Work with security teams to plan and execute quarterly security roadmap initiatives. Respond promptly to critical security alerts and incidents. Qualifications: 8 10 years of experience in Cloud Operations with at least 2 years in a leadership role. Strong expertise in AWS cloud infrastructure management. Proven track record in driving automation and operational improvements. Deep understanding of system reliability engineering (SRE) and incident management. Experience with cost management and security compliance in cloud environments. Excellent communication and people management skills. If you re passionate about leading cloud operations teams and building secure, reliable SaaS infrastructure at scale, we d love to hear from you!

Job Title: Senior AWS Data Engineer Experience: 5+ years Location: Kharadi, Pune Role & Responsibilities Design, develop, and optimize scalable data pipelines and ETL workflows using AWS services such as AWS Glue, Lambda, and Step Functions. Implement and maintain data lakes and data warehouses on AWS platforms including S3, Redshift, and Athena. Develop and manage both real-time and batch data processing solutions. Ensure data security, governance, and compliance following industry best practices. Collaborate with data scientists, analysts, and business stakeholders to deliver actionable, data-driven solutions. Optimize query performance and troubleshoot data issues proactively. Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Implement monitoring, logging, and alerting frameworks using AWS CloudWatch, Prometheus, or equivalent tools. Mentor junior engineers and actively contribute to data engineering best practices and standards. Required Skills & Qualifications 5+ years of experience in data engineering, with at least 3 years focused on AWS cloud services. Strong hands-on experience with AWS services including Glue, Redshift, S3, Lambda, EMR, and Athena. Proficient in SQL, Python, and Spark for data processing and analytics. Experience designing and implementing ETL/ELT pipelines. Familiarity with DevOps practices, CI/CD pipelines, and automation tools such as Terraform, CloudFormation, and Jenkins. Deep understanding of data governance, security protocols, and compliance frameworks. Experience with real-time data streaming and processing technologies such as Kafka, Kinesis, or similar tools. Knowledge of database optimization techniques including indexing and partitioning.

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IIT Bombay. We specialize in helping startups build innovative products by leveraging the latest tools and technologies to solve real-world challenges. With over 21 years of experience, we've partnered with 180+ startups, primarily in the US, and contributed to numerous successful exits. In 2022, Talentica Software was recognized by Great Place to Work as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a DevOps SRE Manager to lead our cloud operations, with a primary focus on Google Cloud Platform (GCP) and secondary support for AWS. In this role, you will manage two critical teams: one DevOps team responsible for GCP infrastructure, and a CloudOps/SRE team ensuring 24/7 uptime for our mission-critical services. This position requires a blend of technical expertise, leadership skills, and customer relationship management. You ll be responsible for ensuring the reliability, scalability, and security of our infrastructure while overseeing smooth cloud operations. What You ll Be Doing: As a DevOps SRE Manager, your responsibilities will include: Managing GCP Operations: Oversee DevOps operations within Google Cloud Platform using tools like Terraform, Kubernetes (GKE), Prometheus, and Grafana. Infrastructure Automation: Ensure timely execution of tasks and optimize infrastructure automation to improve operational efficiency. CI/CD Enhancement: Drive improvements to CI/CD pipelines, enforce cloud security best practices, and enhance software delivery processes. System Reliability: Improve system reliability through advanced monitoring, logging, and alerting solutions. Cloud Optimization: Optimize cloud infrastructure for cost-effectiveness, scalability, and security, ensuring long-term operational efficiency. Leading CloudOps/SRE Teams: Manage a 24x7 CloudOps/SRE team focused on maintaining service uptime and providing prompt incident response. Incident Management: Lead incident management processes, including conducting Root Cause Analysis (RCA) and ensuring adherence to SLAs. Implement Observability Best Practices: Utilize Grafana, Prometheus, and Opsgenie to implement observability best practices. Promote Automation: Foster self-healing, automated infrastructure to reduce manual interventions and improve operational efficiency. Customer Relationship Management: Build and maintain strong customer relationships through transparent and clear communication. Mentorship and Leadership: Lead and mentor cross-functional teams of DevOps and CloudOps/SRE engineers, ensuring high productivity, continuous professional growth, and performance reviews. AWS Support: Provide basic-to-intermediate support for AWS services (IAM, EC2, S3, Lambda, CloudFormation) and assist in hybrid cloud integration when required. To Be Successful in This Role, You Should Have: Qualifications: BE/BTech from a reputable engineering institute. Experience: 8-12 years of experience in DevOps, CloudOps, or SRE roles. Technical Expertise: Primary Cloud Platform: Expertise in Google Cloud Platform (GCP). Secondary Cloud Platform: Experience with AWS. Infrastructure as Code (IaC): Strong experience with Terraform. Containerization & Orchestration: Hands-on experience with Kubernetes (GKE). CI/CD & Automation: Expertise in tools such as Jenkins, GitOps, and Ansible. Monitoring & Observability: Proficient in Prometheus, Grafana. Incident & Alerting: Familiarity with Opsgenie. Big Data & Streaming: Experience with Kafka, Airflow, Druid. AWS Services: Experience with IAM, EC2, S3, Lambda, CloudFormation, and CloudWatch. Additional Skills: Proven experience managing 24x7 operations and multi-cloud environments. Hands-on expertise with GCP infrastructure, Terraform, Kubernetes, and CI/CD pipelines. Experience with incident management, RCA, monitoring, and alerting. Strong understanding of reliability engineering, automation, and cloud security best practices. Bonus Points If You Have: Experience working with Kafka, Airflow, and Druid in large-scale environments. Certifications such as GCP Professional DevOps Engineer, AWS Solutions Architect, or Kubernetes. Working knowledge of AWS cloud services, especially in hybrid-cloud environments. What You ll Find Here: A Culture of Innovation: We focus exclusively on cutting-edge development. Our clients seek our expertise for innovative solutions, not maintenance work. Endless Learning Opportunities: Constantly expand your skills and stay on top of the latest trends and advancements in cloud technologies. Talented Peers: Work alongside top-tier engineers from India s best institutes (IITs, NITs, and others), fostering a collaborative and growth-oriented environment. Work-Life Balance: We value your well-being and offer flexible schedules and remote work options to help you maintain a healthy work-life balance. A Great Culture: 82% of our employees recommend Talentica to their peers (according to Glassdoor), which speaks to the positive work environment we ve built. Recognition & Rewards: We celebrate success and ensure that your contributions are recognized and appreciated. At Talentica, we invite you to take ownership of large-scale, impactful projects and work with cutting-edge technologies. If you re ready to make a real difference in shaping the future of our industry, we d love to have you join us. Qualification : BE/BTech from a reputable engineering institute.

Performance Testing Specialist - Job Description We are seeking an experienced Performance Testing Specialist to lead end-to-end performance testing for our systems. In this role, you will develop and execute test scripts using tools like JMeter and LoadRunner, monitor server performance with cloud tools like AWS CloudWatch, Azure Monitoring, and Google Cloud, and leverage web performance tools such as Chrome Developer Toolbar and Lighthouse. The ideal candidate will have strong expertise in scripting, performance optimization, and troubleshooting. You will collaborate with stakeholders, manage test projects independently, and generate detailed performance reports. Technical and Professional Requirements: Expertise in Performance Testing: Solid understanding of Performance Testing concepts, terminologies, and End-to-End Performance Testing implementation. Hands-on Experience: Proven experience in scripting using JMeter and LoadRunner. Server Monitoring Tools: Proficient in using AWS CloudWatch, Azure Monitoring Insights, Google Cloud Monitoring, or similar tools for server monitoring and setting up monitoring counters. Web Performance Tools: Familiarity with Chrome Developer Toolbar, Lighthouse, and PageSpeed Insights for web performance analysis. Coding Skills: Knowledge of Java, JavaScript, Groovy, Python, Shell scripting is preferred. Good to Have: Experience with other Performance Testing tools will be a plus. Communication Skills: Strong communication skills, with the ability to effectively manage client and stakeholder interactions. Job Responsibilities: Requirement Gathering: Work closely with stakeholders to understand the performance testing requirements and define clear objectives. Performance Testing Strategy: Develop and implement a comprehensive performance testing approach tailored to the needs of the project. Research & PoC: Perform Research & Development (RnD) and Proof of Concept (PoC) on new performance testing techniques or tools. Load Generation Scripting: Create load generation scripts using tools like JMeter and LoadRunner, and apply necessary customizations as required. Monitoring Setup: Set up the required monitoring systems to track performance metrics during testing and capture relevant results. Report Generation: Generate detailed performance test reports, providing insights into system performance, bottlenecks, and optimization areas. Stakeholder Interaction: Interact effectively with stakeholders, including clients and internal teams, to address any issues or errors encountered during testing. Task Planning: Plan and manage Performance Testing tasks and dependencies, ensuring timely delivery of all testing activities. Educational Requirements: Any Graduate with relevant experience in performance testing and software development.

DevOps Engineer - Media & Advertising Sector - Job Description We are seeking an experienced DevOps Engineer to join our team and optimize DevOps solutions tailored for the media and advertising sector. This role will focus on leveraging cloud platforms for cost optimization, driving the implementation of CI/CD pipelines, and improving development efficiency and system performance. The ideal candidate will bring expertise in cloud environments, DevOps practices, and performance monitoring tools to enhance the overall software delivery process. Technical and Professional Requirements: Cloud Platforms: Experience with GCP, Azure, or AWS for managing cloud infrastructure and services. DevOps Tools: Expertise in tools such as Terraform, CircleCI, GitLab CI, and Jenkins for building and managing CI/CD pipelines. Monitoring & Performance Tools: Familiarity with Prometheus, Grafana, Dynatrace, New Relic, or AppDynamics for monitoring and troubleshooting system performance. Cloud Cost Optimization: Experience in Cloud Cost Optimization to improve cost efficiency while maintaining system performance. Media & Advertising Domain: Knowledge of the media and advertising sector and experience building DevOps solutions that align with the specific needs of this domain. Job Responsibilities: Facilitate Development and Operations: Improve and streamline the development process and day-to-day operations using DevOps practices. Identify Design Flaws and Bottlenecks: Recognize any design flaws, performance bottlenecks, and areas for improvement in the software development pipeline. Build DevOps Channels: Establish and manage effective DevOps channels throughout the organization to improve collaboration and efficiency. Continuous Build Environments: Set up and maintain continuous integration environments to speed up the software development cycle. Best Practices Delivery: Design, implement, and deliver DevOps best practices across the organization to enhance system performance and development workflow. Cloud Solution Guidance: Provide guidance and expertise to the development team, ensuring optimal end-to-end solutions from a cloud and DevOps perspective. Educational Requirements: Any Graduate with 60% and above academic performance. Qualification : Any Graduate with 60% and above academic performance.

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.

Job Description: Senior Cloud Engineer We are seeking a highly skilled Senior Cloud Engineer with extensive experience in software development and DevOps to lead our efforts in automating Cloud infrastructure. The ideal candidate will focus on building automation for Cloud Landing Zones and collaborate with cross-functional teams to ensure the successful implementation and maintenance of cloud solutions. Responsibilities: Design, implement, and maintain scalable and efficient cloud-based solutions on AWS and Azure. Lead initiatives to automate cloud infrastructure. Collaborate with teams to integrate best practices in development, code quality, and automation. Guide and mentor development teams, providing expertise in DevOps and automation practices. Contribute to the design and implementation of cloud applications using serverless architectures, Kubernetes, and event-driven patterns. Develop and maintain CI/CD pipelines to streamline deployments, utilizing GitOps methodologies. Apply security best practices to design and implement secure authentication and authorization mechanisms. Monitor and optimize the performance, scalability, and reliability of cloud applications. Stay updated with the latest cloud technologies and development trends, applying new tools and frameworks as needed. Ensure software systems meet functional and non-functional requirements while adhering to best practices in software design, testing, and security. Foster continuous improvement by sharing knowledge, conducting team reviews, and mentoring junior developers. Requirements: Proven experience as a Cloud engineer or similar role, with a strong focus on AWS (Azure is a plus). Solid experience in software development and DevOps practices. Expertise in AWS/Azure infrastructure automation. Proficiency in programming languages such as Python, Golang, or JavaScript. Experience with serverless architectures, Kubernetes, and event-driven patterns. Knowledge of CI/CD pipelines and GitOps methodologies. Strong understanding of cloud security best practices. Excellent problem-solving skills and ability to work collaboratively in a team environment. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience in designing and working with No-SQL databases such as DynamoDB. Experience in leading and mentoring development teams. Expertise in software architecture, development, and systems testing with a strong focus on cloud technologies. Strong technical guidance and decision-making abilities to shape solutions and enforce development best practices. Proficient in applying quality gates, including code reviews, pair programming, and team review meetings. Experience in code management and release processes, with familiarity in Monorepo and Multirepo strategies. Solid understanding of functional programming principles, including list/map/reduce/compose techniques and familiarity with monads. Knowledge of SDLC, and adherence to DRY, KISS, and SOLID design principles. Proficient in managing security protocols such as ABAC, RBAC, JWT, SAML, AAD, and OIDC for authentication and authorization. Expertise in event-driven architecture, including queues, streams, batches, and pub/sub systems. Strong understanding of scalability, concurrency, and distributed systems. Experience with cloud networking and proxies. Expertise in CI/CD pipelines, GitFlow, and GitOps frameworks like Flux and ArgoCD. Polyglot programmer with expert-level proficiency in at least two languages (e.g., Python, TypeScript, GoLang). Experience in operating Kubernetes clusters from a developer s perspective, including custom CRDs, operators, and controllers. Experience in building serverless cloud applications. Strong team player with the ability to communicate and collaborate well in a fast-paced, collaborative environment. Proficient in using GitHub for version control, code reviews, and collaborative development. Experience working in agile teams, participating in sprints, and collaborating effectively in cross-functional teams. Fluency in UI development using React, Hooks, and TypeScript is a plus. Deep knowledge of AWS cloud services, with a basic understanding of Azure as a plus. Experience in developing and managing cloud infrastructures using Crossplane.io is a plus. Knowledge equivalent to AWS Certified DevOps Engineer Professional is a plus.

Job Description: Senior Analyst - IT & Information Security We are looking for a Senior Analyst - IT & Information Security to join our team in Pune. The successful candidate will be responsible for the administration of One Identity tool and the management of integrated identities and services within the IAM (Identity Access Management) environment. You will provide engineering support for the One Identity Manager environment and ensure the smooth functioning of cloud and on-prem infrastructures hosting IAM. Key Responsibilities: Administration of One Identity Tool: Manage and maintain the One Identity Manager (1IM) environment, including Object Browser, Job Queue, and Synchronization Editor. Identity & Service Management: Administer integrated identities and services with the One Identity tool, ensuring smooth integration with organizational systems. IAM Environment Management: Oversee and support the IAM environment at an enterprise level, specifically in a multi-forest Active Directory setup. Manage IAM tools, including performance management of databases and infrastructures. Monitoring & Troubleshooting: Monitor the performance of IAM tools and report on and analyze any bugs during and after IAM release versions. Ensure the smooth functioning of the IAM infrastructure, performing necessary diagnostics and maintenance. Incident, Problem & Change Management: Manage incidents, problems, and changes within the IAM infrastructure, ensuring proper documentation and tracking. Collaboration & Support: Work closely with onshore development and project teams, assisting during project releases, testing, and providing operational support. Process & Documentation Management: Develop and maintain IAM processes and operating procedures documentation. Tool Utilization: Use software development tools such as JIRA for managing IAM-related tasks and issues. Qualifications & Skills: Experience: Proven experience in managing One Identity Manager (1IM) or similar IAM tools. Strong understanding of IAM infrastructure and its integration with organizational systems. Technical Skills: Solid knowledge of Active Directory multi-forest environments and integration with IAM tools. Familiarity with Windows OS, IIS, and MS SQL server. Performance Management: Experience in monitoring, reporting, and analyzing IAM tool performance. Collaboration Skills: Ability to work collaboratively with onshore teams and provide expert support for project releases and operational needs. Incident and Change Management: Demonstrated experience in incident, problem, and change management within IAM systems. Tool Knowledge: Familiarity with using JIRA or other software development tools for task and issue management. What We Offer: Hybrid Work Model: Flexible working options, including up to 25 days per year working from abroad. Compensation & Benefits: Competitive compensation package, including a company bonus scheme, pension, employee shares program, and multiple employee discounts (varies by location). Career Development: Access to career development and digital learning programs, with opportunities for international mobility and lifelong learning. Work-Life Balance: Flexible working and health and wellbeing support, including healthcare and parental leave benefits. Support for career breaks and assistance with returning to work. About Allianz Technology: Allianz Technology is the global IT service provider for Allianz and delivers IT solutions that drive the digitalization of the Group. With over 13,000 employees in 22 countries globally, Allianz Technology is a key partner in pioneering the digital transformation of the financial services industry. We oversee a full spectrum of digital services, including IT infrastructure, networking, security, and application platforms. We are at the forefront of digitalization in the financial services sector, offering end-to-end IT solutions for Allianz. Diversity & Inclusion Statement: At Allianz Technology, we are proud to be an equal opportunity employer. We believe in fostering a diverse and inclusive work environment. We welcome applications from individuals of all backgrounds and identities, regardless of gender, ethnicity, age, nationality, religion, disability, or sexual orientation. Join us and help shape the future of technology! Let s care for tomorrow.

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.

Job Details Responsibilities: Design, develop, and maintain high-performance software applications using Full stack technologies (Frontend and Backend). Develop web and mobile applications using React and React Native. Implement efficient and scalable APIs using Python with Flask and TypeScript. Integrate AWS solutions, particularly with CloudWatch, Lambda, DynamoDB, and S3, to ensure reliable and scalable cloud infrastructure. Optimize the use of Redis to improve performance and scalability of applications. Apply best practices in software development, including design patterns, SOLID principles, and unit testing. Monitor and improve application performance using tools like Sumo Logic and New Relic. Collaborate with multidisciplinary teams to identify and resolve complex technical problems. Participate in code reviews and mentor other developers. Requirements: Solid experience in Full stack development, with a focus on both Frontend and Backend. (Must) Expertise in React and React Native for web and mobile application development. (Must) Experience with Python and Flask for Backend development. Knowledge in integrating any Cloud tech like AWS, particularly CloudWatch, Lambda, DynamoDB, and S3. Familiarity with Redis for caching and in-memory storage management. Experience with TypeScript to improve code quality on the frontend. Knowledge of software development best practices, including testing, CI/CD, and version control (Git). Experience working with monitoring and analytics tools such as Sumo Logic and New Relic or similar. Ability to work independently, as well as in collaborative, agile teams. Excellent problem-solving skills, critical thinking, and results-oriented focus. Desirable: Experience with agile methodologies like Scrum or Kanban. Knowledge of microservices architectures and containers (Docker). Familiarity with relational and non-relational databases. Strong communication skills in English (Must)