Azure Engineer Jobs in Pune

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Position Title: Presales Engineer Location: Pune Experience: 5+ years Education: BCA / MCA / BE / B.Tech (Preferably in Computer Science or Information Technology) Company: Accops Systems Pvt. Ltd. Accops provides secure workspace access, virtualization, and Zero Trust-based solutions for modern digital workforces. Role Overview: We are seeking an experienced Presales Engineer to support solution consulting, technical sales engagements, and partner enablement. The ideal candidate should bring strong technical expertise, excellent communication skills, and leadership capabilities to guide customers and partners through the technical evaluation and solution design process. Key Responsibilities: Gain certification in Accops products and maintain up-to-date product knowledge Deliver compelling technical presentations and conduct interactive demos (on-site and remote) Lead and manage pre-sales account teams, ensuring project alignment and timely delivery Engage in solution design, sizing, and deployment planning for Accops and third-party products Prepare comprehensive competitive analysis and technical architecture documents Build and maintain a high standard of pre-sales and post-sales support Contribute to the knowledge base, including articles, tutorials, FAQs, and best practices Manage and respond to customer queries promptly, ensuring high satisfaction Provide technical training to partner sales and presales teams Draft and define the Statement of Work (SoW) for implementation teams Stay updated with market trends, product developments, and competitive offerings Collaborate closely with the Sales Account Manager to map customer needs to the best-fit solution Communicate both technical and business benefits of solutions to varied stakeholders Mandatory Technical Skills: Proven team management experience: mentoring, motivating, and aligning with business goals In-depth technical understanding of: Operating systems: Windows, Linux (Ubuntu, Red Hat, Debian) Networking: DNS, DHCP, routing, VPNs, Active Directory, directory services, SAML, SSL, HTTPS Security technologies: Firewalls, VPN, ZTNA, CASB, SASE, Identity Federation Hands-on knowledge of at least one desktop virtualization platform: Citrix Apps & Desktop, VMware Horizon, Windows Virtual Desktop (WVD), MS RDP Experience in solution architecting and capacity planning Ability to translate customer requirements into solution architectures Strong grasp of real-world product benefits and limitations Good to Have: Presales experience in a startup environment (VDI, VPN, MFA, MDM, Azure, AWS) Prior experience with Accops products Experience in executive-level customer interactions Working knowledge of Windows Server, Windows 10, and RDS licensing Behavioral Competencies: Strong verbal and written communication skills Demonstrated leadership and initiative Clear and structured thinking and problem-solving approach High level of accountability and ownership Proactive and self-motivated with a logical bent of mind Adaptable and able to thrive in dynamic environments Qualification : BCA / MCA / BE / B.Tech (Preferably in Computer Science or Information Technology)

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

Job Title: Associate Solution Engineer Location: Pune, Maharashtra, India Travel: Occasional business travel may be required About BMC At BMC, trust is more than a value it s how we operate. We re an award-winning, inclusive, and vibrant workplace where diverse perspectives fuel innovation and growth. We believe in balancing life and work, celebrating wins (big and small), and giving back to the communities we serve. Your voice matters here, and your individuality is celebrated. We help our customers become Autonomous Digital Enterprises by enabling them to scale, innovate, and lead in the digital era. The Opportunity Join BMC Helix s Digital Solution Engineering team as an Associate Solution Engineer a role designed for emerging tech professionals who want to build a career at the intersection of technology, customer impact, and business value. Whether you're a recent graduate or have 1 3 years of experience, this is your opportunity to dive deep into enterprise platforms, AI innovation, and next-gen service management. About BMC Helix BMC Helix is our cutting-edge, AI-powered platform for IT Service and Operations Management (ITSM, ITOM, AIOps). With a containerized, microservices-based architecture, it supports flexible deployment across cloud, hybrid, and on-prem environments. BMC Helix empowers enterprises to go from reactive support to predictive, autonomous operations using advanced capabilities like Agentic AI and cross-domain automation. What You ll Do Work with global solution engineering and sales teams to support customer engagements and design compelling, tailored solutions. Participate in discovery sessions to understand client requirements and business objectives. Deliver engaging, value-driven demos that highlight BMC Helix s strengths like intelligent automation, Agentic AI, and seamless integrations. Assist in designing proof-of-value solutions, configurations, and presentations. Translate complex technical concepts like microservices, APIs, and hybrid deployments into clear, customer-centric value propositions. Collaborate with internal teams (Product, Strategy, Sales) to ensure alignment with customer needs and market trends. Stay current on emerging trends in GenAI, LLMs, ITSM, ITOM, and enterprise digital transformation. What You Bring Bachelor s degree in Computer Science, Information Technology, Engineering, or a related field. 0 3 years of experience in a technical, consulting, or customer-facing role. Excellent communication and presentation skills; able to engage both technical and business stakeholders. Interest or hands-on exposure to Generative AI and Large Language Models (LLMs). Foundational knowledge of cloud platforms (AWS, Azure, GCP), microservices, containers (Docker, Kubernetes). Curiosity for technology and enterprise IT challenges; proactive and eager to learn. Exposure to platforms like BMC Helix, ServiceNow, Jira Service Management, or similar is a plus. Basic scripting or API understanding (Python, JavaScript, REST APIs). Familiarity with ITIL, DevOps, or service management concepts. Fluent in English; multilingual proficiency (e.g., Spanish, French, German, Italian) is a bonus. Work with industry-leading platforms and AI technologies Be part of a collaborative, global team shaping the future of digital operations Learn from experienced mentors and participate in enablement programs Thrive in a culture that values your authenticity, creativity, and growth No problem. If you're passionate about this opportunity and BMC s mission, we still encourage you to apply. We value potential just as much as experience. BMC is proud to be an equal opportunity employer. Qualification : Bachelors degree in Computer Science, Information Technology, Engineering, 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: 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: Principal Engineer (Malware Research Scientist) Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and fidelity providing autonomous protection, rapid incident response, and assured data recovery. Trusted by over 6,000 customers including 65 of the Fortune 500, Druva protects business-critical data in today s evolving threat landscape. With a $10 million Data Resiliency Guarantee, Druva ensures robust defense against all cyber threats. Role Overview: As a Principal Engineer (Malware Research Scientist), you will lead the design and establishment of a cutting-edge malware analysis lab and manage a team of researchers focused on deep technical investigations. You will conduct hands-on research, especially on ransomware, to uncover threat behaviors and generate actionable intelligence. Your insights will directly influence product security features by providing malware artifacts and indicators of attacks (IOAs) to engineering and product teams, strengthening Druva s product security posture. Key Skills & Expertise: Proven background as an Enterprise Security Architect or equivalent. Expertise in threat modeling and risk mitigation at organizational and technical levels. Comprehensive understanding of cloud security (AWS, Azure, OCI), Linux, M365 application/API security, firewalls, IDS/IPS, sandboxing, threat intelligence, vulnerability assessment, SIEM, auditing, encryption, and data loss prevention. Relevant certifications such as OSCP, SANS, or equivalent security certifications are highly desirable. Strong communication skills with the ability to present complex technical topics clearly. Deep technical knowledge of malware behavior, cyber kill chain, incident response, forensic data collection, disaster recovery, and ransomware impact. Hands-on experience in these areas is preferred. Roles & Responsibilities: Technical Leadership & Research: Design, implement, and maintain a secure and scalable malware analysis lab. Perform in-depth analysis of malware samples with a focus on ransomware variants. Utilize reverse engineering, static, and dynamic analysis techniques to dissect malware behavior and tactics. Identify, document, and communicate Indicators of Compromise (IOCs), MITRE ATT&CK TTPs, and Indicators of Attack (IOAs). Analyze ransomware impacts on data, cloud infrastructure (AWS, Azure, GCP), and SaaS platforms (M365, Google Workspace). Develop innovative detection and mitigation strategies for advanced malware threats. Stay abreast of emerging threat trends through continuous research and threat intelligence gathering. Collaboration & Communication: Partner with Product Managers to align research with customer requirements and support development of security features. Work with marketing to translate research insights into technical content like whitepapers, blogs, and presentations. Translate technical findings into clear, actionable reports for technical and non-technical stakeholders. Collaborate with engineering and security teams to integrate threat intelligence into incident response and security operations. Present research outcomes and threat intelligence updates to internal teams and leadership. Qualifications: Bachelor s or Master s degree in Cybersecurity, Computer Science, or a related discipline (or equivalent experience). 10+ years of experience in malware analysis and threat research. Proven track record of leading and mentoring security research teams, including training interns and junior researchers. Deep expertise in malware analysis techniques such as reverse engineering, static analysis, dynamic analysis, and sandbox environments. Strong knowledge of ransomware variants and their operational impact on various infrastructures. Excellent verbal and and written communication skills. Ability to manage multiple projects, work independently, and prioritize tasks effectively. A passionate and proactive approach to staying ahead in the cybersecurity threat landscape. If you re ready to lead high-impact malware research and shape the future of cyber resilience, Druva offers a compelling opportunity to join a world-class team protecting data on a global scale. Qualification : Bachelors or Masters degree in Cybersecurity, Computer Science, or a related discipline (or equivalent experience).

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.

Position: Product Delivery Engineer Location: Pune (Onsite/Hybrid) Type: Full-Time Department: Engineering Experience Level: Experienced About the Role We re looking for a Product Delivery Engineer who s passionate about solving complex problems and delivering high-impact software solutions. If you're eager to work across the full stack, thrive in a fast-paced environment, and want to build resilient, scalable products using modern cloud technologies this is the role for you. What You'll Be Doing Design and contribute to robust, scalable features on AWS and Azure cloud platforms. Implement critical end-to-end features that drive real value. Write high-quality, well-tested, maintainable code. Manage your own tasks, deadlines, and deliverables with minimal supervision. Collaborate across teams and tech stacks with a willingness to learn and adapt. Participate in code reviews, offer mentorship, and help elevate the team s technical bar. What You Bring to the Team Technical Skills Frontend: React.js, React Native, or Angular. Backend: Experience with one or more of Python, Java, Node.js, Golang, or C#. Familiarity with cloud platforms (AWS, Azure) and a strong interest in cloud-native development. Solid foundation in computer science fundamentals including: Data structures and algorithms Networking basics (TCP/IP, ports, firewalls) Database principles (schema design, indexing, optimization) Hands-on experience with relational and NoSQL databases like MySQL, SQL Server, DynamoDB, or Cosmos DB. While full-stack experience is preferred, we also welcome specialists with deep frontend or backend expertise. Soft Skills & Mindset A responsible, ownership-driven attitude toward features and deliverables. A natural leader and mentor who leads by example. Excellent communication and interpersonal skills. Ability to build trust and collaborate effectively with cross-functional teams. Enthusiastic about learning and applying agile software delivery best practices. Join us to build cutting-edge products that scale and grow alongside a team that values curiosity, craftsmanship, and collaboration.

Job Title: Senior Azure Data Engineer Experience: 8 - 10 years Location: Kharadi, Pune Role & Responsibilities Design, develop, and maintain scalable, high-performance data pipelines using Azure Data Services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Build and optimize data models, ETL/ELT processes, and data integration workflows to support analytics and BI needs. Develop and manage data lakes, data warehouses, and real-time streaming solutions on Azure. Collaborate with data analysts, scientists, and software engineers to ensure smooth data integration and processing. Ensure data security, governance, and compliance following industry best practices and regulations. Monitor and troubleshoot data pipelines, focusing on performance and reliability enhancements. Automate data workflows and infrastructure using DevOps and CI/CD methodologies. Work closely with stakeholders to translate business requirements into robust data solutions. Required Skills & Qualifications 8-10 years of experience in data engineering, with at least 3 years focused on Azure data services. Strong expertise in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure SQL Database. Proficient in SQL, Python, or Scala for data processing and transformation. Experience with Big Data technologies like Spark, Delta Lake, and Parquet. Hands-on experience with ETL/ELT development and orchestration of data pipelines. Knowledge of Azure DevOps, CI/CD pipelines, and Infrastructure as Code tools (Terraform, ARM templates, Bicep). Familiarity with data governance, security best practices, and compliance frameworks. Experience with Power BI, Snowflake, or other BI/analytics tools is a plus.

Job Title: Java Full Stack Developer Experience: 3 - 8 years Location: Kharadi, Pune Role & Responsibilities Develop and maintain scalable web applications using Java, Spring Boot, and Angular or React. Work with databases such as MySQL, PostgreSQL, and MongoDB for efficient data storage and retrieval. Implement front-end UI/UX designs using HTML, CSS, JavaScript, and frameworks like Angular or React. Ensure application security through implementation of authentication and authorization protocols (OAuth, JWT, Spring Security). Optimize applications for speed, scalability, and overall performance. Write clean, reusable, and efficient code following software development best practices. Conduct unit testing and integration testing using JUnit, Mockito, and other testing frameworks. Collaborate effectively with cross-functional teams including UI/UX designers, product managers, and DevOps engineers. Deploy and manage applications on cloud platforms like AWS, Azure, or Google Cloud. Troubleshoot, debug, and upgrade existing applications to improve functionality and user experience. Stay updated with the latest trends and advancements in Java and full-stack development. Design, develop, and optimize RESTful APIs and microservices architectures. Required Skills & Qualifications 3-8 years of experience in Java Full Stack Development. Backend expertise: Java, Spring Boot, Hibernate, Microservices. Frontend skills: Angular or React, JavaScript, TypeScript, HTML, CSS. Database knowledge: MySQL, PostgreSQL, MongoDB. Familiarity with DevOps and Cloud technologies: Docker, Kubernetes, AWS, Azure, and CI/CD pipelines. Testing experience with JUnit, Mockito, Cypress, Selenium. Proficient with version control systems such as Git, GitHub, GitLab, or Bitbucket. Security knowledge: OAuth, JWT, Spring Security. Strong analytical and problem-solving capabilities. Excellent communication skills and ability to work collaboratively in teams. Experience working in Agile/Scrum environments. Self-motivated with a strong eagerness to learn and adopt new technologies.

Senior .NET Software Engineer Pune, India Location: Pune Experience: 7+ Years Start Date: Immediate Salary: Best in Industry Qualification: Bachelor s or Master s Degree in Computer Science, IT, or related field Job Summary: We are looking for an experienced Senior .NET Software Engineer with a strong background in C#, ASP.NET MVC, and Microsoft Azure to join our technology team in Pune. The ideal candidate will lead the design and development of scalable, secure cloud-based applications while mentoring junior developers and driving best coding practices. Key Responsibilities: Lead the design, development, and ongoing maintenance of complex .NET applications using C#, ASP.NET MVC, and Razor Pages. Architect and implement scalable, secure solutions on Microsoft Azure, including Azure App Services, Functions, and Storage. Design, develop, and maintain RESTful APIs for seamless integration with third-party systems and internal applications. Mentor junior team members, ensuring adherence to best practices, clean code, and robust design patterns. Conduct rigorous code reviews to uphold coding standards and improve code quality. Collaborate with cross-functional teams including product managers, QA, and DevOps to define requirements and deliver high-quality solutions. Optimize applications for performance, scalability, and security. Troubleshoot and resolve complex technical issues in both development and production environments. Required Technical Skills: Extensive hands-on experience with C# and the .NET framework. Expert knowledge of ASP.NET MVC, Razor Pages, and Web API development. Proven experience working with Microsoft Azure services such as Azure App Services, Azure Functions, Azure Storage, and Azure DevOps. Strong familiarity with front-end technologies including HTML, CSS, JavaScript, and frameworks like Angular or React. Advanced skills in SQL Server database design, optimization, stored procedures, and query tuning. Experience implementing CI/CD pipelines, version control using Git, and applying DevOps practices. Solid understanding of software architecture principles, design patterns, and enterprise application development. Excellent debugging, troubleshooting, and performance analysis abilities. Qualifications: Bachelor s or Master s degree in Computer Science, Information Technology, or related field. Minimum 7 years of professional experience in .NET development. Azure certification is preferred but not mandatory. Opportunity to work on cutting-edge cloud-based enterprise applications. Collaborative, innovative, and growth-oriented work environment. Competitive compensation with industry-leading benefits. Continuous learning and career advancement opportunities. Apply now to take the next step in your career as a Senior .NET Software Engineer in Pune!

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 Title: Senior Cloud Engineer Job Description: We are seeking a highly skilled Senior Cloud Engineer with extensive experience in software development and DevOps to lead 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. You will leverage your expertise in cloud technologies, coding practices, and automation to help scale and optimize the organization s cloud infrastructure. Responsibilities: Cloud Infrastructure Design & Implementation: Design, implement, and maintain scalable and efficient cloud-based solutions primarily on AWS, and Azure. Lead initiatives to automate cloud infrastructure, improving efficiency and reducing manual interventions. Collaboration & Best Practices: Collaborate with cross-functional teams to integrate best practices in development, code quality, and automation. Mentor and guide development teams, offering expertise in DevOps and automation practices. Cloud Application Development: Contribute to the design and implementation of cloud applications, leveraging serverless architectures, Kubernetes, and event-driven patterns. Ensure high-quality design, security, and testing practices in cloud-based applications. CI/CD & Automation: Develop and maintain CI/CD pipelines for seamless, automated deployments using GitOps methodologies. Security: Apply security best practices in cloud application architecture, including designing secure authentication and authorization mechanisms. Performance Optimization: Continuously monitor and optimize the performance, scalability, and reliability of cloud applications and infrastructure. Innovation: Stay updated with the latest cloud technologies, trends, and tools to drive innovation and improve the organization s cloud architecture. Continuous Improvement: Promote continuous improvement by sharing knowledge, conducting team reviews, and mentoring junior developers. Requirements: Experience: Proven experience as a Cloud Engineer or in a similar role with a strong focus on AWS (experience with Azure is a plus). Solid experience in software development and DevOps practices. Expertise in AWS/Azure infrastructure automation. Technical Skills: Proficiency in programming languages such as Python, Golang, or JavaScript. Experience with serverless architectures, Kubernetes, and event-driven patterns. Strong understanding of CI/CD pipelines, GitOps methodologies, and cloud security best practices. Collaboration & Communication: Excellent problem-solving skills and ability to work collaboratively within a team. Strong communication skills to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Cloud Technologies & Architecture: Experience in designing and working with No-SQL databases, such as DynamoDB. Expertise in software architecture, development, and systems testing, with a strong focus on cloud technologies. Leadership & Mentoring: Experience in leading and mentoring development teams. Ability to guide and influence decision-making in the development and design of cloud solutions. Quality & Code Management: Proficient in applying quality gates such as code reviews, pair programming, and team review meetings. Experience in code management and release processes, with familiarity in Monorepo and Multirepo strategies. Technical Competence: Solid understanding of functional programming principles. Knowledge of SDLC, and adherence to DRY, KISS, and SOLID design principles. Expertise in managing security protocols such as ABAC, RBAC, JWT, SAML, AAD, and OIDC for authentication and authorization. Event-Driven Architecture & Cloud Networking: 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. Additional Skills: Polyglot programmer with expert-level proficiency in at least two languages (e.g., Python, TypeScript, GoLang). Experience operating Kubernetes clusters from a developer s perspective, including custom CRDs, operators, and controllers. Strong experience in GitHub for version control, code reviews, and collaborative development. Agile & Development Environment: Experience working in agile teams, participating in sprints, and collaborating effectively in cross-functional teams. UI Development (Optional): Fluency in UI development using React, Hooks, and TypeScript is a plus. Cloud Certifications (Optional): AWS or Azure certifications. AWS Certified DevOps Engineer Professional or similar certification is a plus. What We Offer: Professional Development: Opportunities for continued professional growth through internal programs, mentorship, and certifications. Collaborative Work Environment: A culture that fosters innovation, collaboration, and knowledge sharing among teams. Competitive Benefits: Comprehensive benefits package including health, wellness, and work-life balance programs. Career Progression: Clear paths for career advancement and personal growth in a rapidly expanding cloud-focused company. Join our dynamic team and help shape the future of cloud infrastructure! Let's build the cloud solutions of tomorrow, together.

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 Title: Quality Engineer (Tester) Project Role: Quality Engineer (Tester) Experience: Minimum 7.5 Years Location: Pune Education: 15 Years of Full-Time Education Must-Have Skills: TOSCA Testsuite, Selenium Good-to-Have Skills: Automated Testing, CI/CD Integration, Cross-Browser Testing About the Role As a Quality Engineer (Tester), you will play a key role in ensuring high-quality software delivery by implementing automated testing processes and conducting continuous security, API, and regression testing. You will be responsible for designing automation strategies, creating test scripts, and managing test environments. You will also collaborate with multiple teams, monitor and report defects, and drive continuous improvements in testing processes. Key Responsibilities Serve as a Subject Matter Expert (SME) in test automation. Collaborate with cross-functional teams to ensure seamless testing integration. Take ownership of team decisions and automation testing strategies. Engage with multiple teams, contributing to key testing decisions. Implement and optimize automated testing frameworks. Conduct test case reviews and ensure test coverage. Analyze test results and provide insights for continuous improvements. Monitor and report defects, supporting root cause analysis and resolution. Technical Skills & Expertise Must-Have Skills: Expertise in TOSCA Testsuite for automated testing. Proficiency in Selenium WebDriver and test automation frameworks like TestNG or Cucumber. Strong experience in developing and executing automated test scripts. Knowledge of software testing methodologies and debugging techniques. Good-to-Have Skills: Experience with Automated Testing frameworks. Knowledge of CI/CD integration tools (Jenkins, GitLab, Azure DevOps). Proficiency in programming languages such as Java, Python, or C#. Understanding of cross-browser testing and debugging strategies. Experience with mobile application testing. Key Responsibilities in Test Automation: Develop and maintain Selenium-based automation frameworks. Create reusable test scripts for web and mobile applications. Enable cross-browser and cross-platform testing. Train QA teams on Selenium automation and ensure script quality. Implement automated test reporting and improve automation coverage. Additional Information The candidate must have a minimum of 7.5 years of experience in TOSCA Testsuite and Selenium. This role is based in Pune. Candidates must have 15 years of full-time education. Join us and be a driving force in delivering high-quality software solutions through innovative test automation!