Data Scaling Jobs in Pune

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!

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: 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.

Analog Engineer Location: Pune Role Overview Join our dynamic R&D team as an Analog Engineer, contributing your expertise to develop cutting-edge electronics hardware for instrumentation products used in the process industry. This role involves close collaboration with diverse stakeholders including Digital Business Leaders, Customer Support, and Branch Engineers to ensure smooth project execution and high customer satisfaction. Occasional travel may be required to engage with vendors, stakeholders, and maintain strong customer relationships. Purpose of the Role Design and develop high-quality analog electronics hardware that meets stringent industry requirements for performance, reliability, safety, and environmental standards in instrumentation products. Technical Responsibilities Understand product requirement specifications, incorporating electrical, communication protocols, environmental, EMC, safety, industrial design, performance, and reliability standards into your designs. Design electronics circuits interfacing with various sensors, input/output signals, communication protocols (UART, RS232, RS485, I2C, SPI, HART, PROFIBUS, FIELDBUS, Wireless, etc.), display and keypad (UI) devices, microcontrollers, ADCs, DACs, display chips, and special function ICs. Develop designs suitable for 2-wire transmitters, actuators, indicators, converters, sensors (4-20mA), IEPE vibration sensors, battery-powered sensors, and wireless devices. Implement analog signal processing and control functions including scaling, amplification, filtering, integration, differentiation, multiplication, compression, clipping, clamping, linearizing, isolation, ON-OFF, PID, etc. Design linear and switching power supplies to power circuits and external devices. Implement PCB designs considering constraints such as space, parasitic effects, signal and power integrity, thermal management, RF/EMC considerations, manufacturability, and usability. Test designs thoroughly through in-house labs, external labs, and field site validations to ensure all requirements are met. Ensure adherence to target material cost budgets. Operate and utilize test and measurement instruments such as DMM, DSO, function and signal generators, pulse generators, counter timers, spectrum analyzers, LCR meters, HV testers, and network analyzers. Utilize development tools like SPICE, 3D modeling software, Mathcad, and EDA tools (Pads, Cadence) effectively. Qualification & Experience Master s or Bachelor s degree in Electronics, Electronics & Telecommunication, or equivalent discipline 4 to 5 years of relevant experience in analog hardware design for instrumentation or related fields Qualification : Masters or Bachelors degree in Electronics, Electronics & Telecommunication, or equivalent discipline

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

Position: 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

Position: Provider Data Operations Senior Associate Location: Pune, Maharashtra, India Our Mission: Healthcare should work for patients, but often it doesn t. Zocdoc empowers patients by offering the leading healthcare marketplace to easily find and book care across specialties and insurance plans nationwide. Our goal is to make healthcare consumer-friendly, driving quality up and prices down. Your Impact: As a Senior Provider Data Operations Associate, you will be the guardian of Zocdoc s data ecosystem managing, structuring, and analyzing large volumes of data to ensure accuracy and integrity. You'll transform raw data into strategic insights that drive decision-making and continuous improvement. By leveraging AI tools, JavaScript, and SQL, you ll optimize workflows and scale operational processes across product and operations teams. Day-to-Day Responsibilities: Use AI prompts to improve workflow efficiency. Develop and maintain automation scripts using Google Apps Script and JavaScript. Troubleshoot and optimize scripts to enhance functionality and scalability. Extract, manipulate, audit, and analyze data using SQL. Generate actionable insights from various dashboards. Support product decisions with data-backed research and cross-functional collaboration. What Makes You Successful: Bachelor s degree with good academic standing (minimum 60% in 10th/12th/graduation). 3-4+ years of relevant work experience. Proven experience using AI tools for automation. Advanced skills in Microsoft Excel and Google Sheets, including Google Apps Script. Working knowledge of JavaScript and comfort with web-based tools. Understanding of Python and expertise in SQL is a plus. Strong communication skills to translate technical and non-technical information. Ability to manage multiple tasks in a fast-paced environment with a strong sense of accountability. Experience in US healthcare or healthcare technology is a bonus. Benefits: Work with a smart, supportive, and collaborative team. Competitive salary and medical insurance. Perks such as catered lunches, Ping Pong, daycare facilities, and wellness programs. Cellphone and Wi-Fi reimbursements. Competitive parental leave and sabbatical after 5 years. Annual sponsored health check-ups. Certified Great Place to Work (2024-2025). About Zocdoc: Zocdoc is the leading digital health marketplace in the US, connecting millions of patients with nearby, in-network healthcare providers. Founded in 2007, Zocdoc s mission is to empower patients with choice and transparency. We value diversity, collaboration, and innovation, striving to build a better healthcare experience for all. Qualification : Bachelors degree with good academic standing (minimum 60% in 10th/12th/graduation).

Lead Developer Generative AI Location: Pune Company: HeapTrace Technology Job Type: Full-Time About HeapTrace Technology At HeapTrace Technology, we are pioneers in innovation, delivering transformative IT solutions across industries. Our expertise spans software development, AI integration, cloud services, and more. We empower businesses to leverage technology for accelerated growth and lasting success. Join us to be part of a dynamic team pushing the frontiers of AI. Job Description We are seeking an experienced Lead Developer specializing in Generative AI to lead the design, development, and deployment of cutting-edge AI models and applications. You will collaborate with cross-functional teams to embed generative AI into our products and services, driving innovation and business value. Responsibilities Lead Generative AI Development: Design and implement advanced generative models such as GPT, GANs, and VAEs for content generation, data augmentation, and other applications. Project Leadership: Manage AI projects from ideation through deployment, ensuring alignment with business goals and timely delivery. Cross-Functional Collaboration: Partner with product managers, designers, and developers to integrate AI functionalities seamlessly into solutions. Research & Innovation: Keep abreast of the latest AI advancements and integrate relevant innovations into projects. Mentorship: Guide junior developers and data scientists, fostering a culture of collaboration and innovation. Deployment & Scaling: Optimize AI models for performance and scalability in production environments. Ethical AI: Ensure responsible AI practices, addressing ethical implications and regulatory compliance. Requirements Education: Bachelor s or Master s in Computer Science, AI, Machine Learning, or related field. Experience: Minimum 5 years in AI/ML development with 2+ years focused on generative models. Technical Skills: Proficiency in Python and frameworks like TensorFlow, PyTorch, or Keras. Strong understanding of machine learning algorithms and deep learning architectures. Experience with NLP models (e.g., GPT, BERT) and generative models such as GANs and VAEs. Leadership: Proven track record of leading AI projects and teams. Problem-Solving: Ability to translate business needs into technical solutions. Communication: Excellent verbal and written skills, capable of explaining complex AI concepts to non-technical audiences. Ethics: Awareness of AI ethical considerations including bias mitigation and data privacy. Nice to Have Experience deploying AI models on cloud platforms like AWS, Azure, or Google Cloud. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Knowledge of data engineering and working with large datasets. Publications or active contributions to the AI research community. Competitive Salary: Attractive compensation aligned with your experience. Flexible Work Environment: Remote work options and flexible schedules. Professional Growth: Access to learning opportunities, conferences, and skill development. Innovative Projects: Work on impactful AI initiatives that push technology boundaries. Collaborative Culture: Join a diverse, creative, and supportive team environment. Qualification : Bachelors or Masters in Computer Science, AI, Machine Learning, or related field.

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

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

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

Job Title: 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.

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IITB. For over 21 years, we have been helping startups build innovative products using cutting-edge technologies. With a focus on solving real-world problems, we ve worked with over 180+ startups, primarily in the US, leading to numerous successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a Growth Marketing Manager to lead Talentica s demand generation strategy through paid advertising and SEO. You will be responsible for executing multi-channel marketing campaigns, optimizing brand visibility, and driving high-quality leads to support our growth. Your expertise in performance marketing, organic growth, and team leadership will be key to scaling our marketing efforts and achieving impactful results. What You ll Be Doing: Develop & Execute Demand Generation Campaigns: Lead high-impact campaigns across platforms like Google Ads, LinkedIn Ads, and other paid channels to generate leads and increase conversions. Optimize SEO Strategies: Enhance organic traffic and improve Talentica s search visibility for key industry-related keywords. Manage the Marketing Funnel: Oversee the entire lead-generation funnel, ensuring consistent lead flow from both paid and organic efforts. Leverage Content Marketing: Collaborate on content creation, landing page optimization, and conversion rate optimization (CRO) to increase engagement and drive MQLs (Marketing Qualified Leads) & SQLs (Sales Qualified Leads). Brand Promotion: Increase brand awareness by promoting Talentica Software across various digital channels, including social media, industry forums, and content syndication platforms. Data-Driven Decision Making: Utilize insights from analytics to refine ad campaigns, reduce Customer Acquisition Cost (CAC), and improve ROI. Collaboration: Work closely with sales teams to ensure marketing efforts are aligned with pipeline growth goals and revenue targets. Agency & Vendor Management: Manage external agencies and vendors to ensure efficient campaign execution. To Be Successful in This Role, You Should Have: Qualification: MBA/PGDM in Marketing + Bachelor's degree in Engineering (mandatory). Experience: 8-10 years in marketing within IT services or software product companies, with at least 4 years in a leadership role. Essential Skills: Proven expertise in B2B demand generation, PPC advertising, and SEO strategies. Strong understanding of platforms such as Google Ads, LinkedIn Ads, GA4, and marketing automation tools like HubSpot. Experience in content marketing, thought leadership, and brand positioning. Analytical mindset with expertise in A/B testing, data interpretation, and performance tracking. Ability to collaborate cross-functionally with sales, engineering, and leadership teams. What You ll Find Here: Culture of Learning: We invest heavily in exploring new marketing tools and channels. At Talentica, you ll have ample opportunities to innovate and grow your skills. Endless Learning Opportunities: We don t limit you by your job description. If you have the drive, we ll support you in taking on new challenges and responsibilities. Performance-Driven Growth: Your growth at Talentica is governed solely by your achievements and contributions, not by your education or past employers. Work-Life Balance: We value your well-being and offer flexible work schedules and remote work options. Great Culture: 82% of our employees recommend Talentica to their friends, according to Glassdoor. You ll love being a part of our team! At Talentica, we re not just about doing things the usual way. We think and do constantly pushing the boundaries of technology and marketing. If you re looking for a dynamic, "think and do" environment with ample room for personal and professional growth, Talentica is the place for you. Qualification : MBA/PGDM in Marketing + Bachelor's degree in Engineering (mandatory).

Join the Cencora Revolution: Shape the Future of Healthcare with Salesforce Development! At Cencora, we believe in empowering people to make a real difference. We're driven by our collective mission to create healthier futures, and every one of our team members plays an essential part in achieving that goal. We re not just a company we re a movement. And we need innovative thinkers like you to help us redefine the healthcare landscape. As a Senior Salesforce Developer, you won t just be writing code you ll be creating the backbone of our Salesforce ecosystem, designing applications that power critical business operations. You ll lead the way in optimizing and scaling Salesforce apps while solving some of the most exciting challenges in healthcare technology. Your work will directly influence the solutions we deliver to customers worldwide, creating healthier futures for all. Your Mission, Should You Choose to Accept: Architect & Build: Lead the design, development, and deployment of high-performance Salesforce applications using Apex, Visualforce, Lightning components, and beyond. You ll be at the helm, steering critical features and integrations that drive our business forward. Seamless Integration: Be the mastermind behind integrations between Salesforce and external systems, using REST/SOAP APIs to ensure smooth data flows across platforms. Innovation at Scale: Take charge of optimizing and enhancing existing Salesforce applications for scalability, performance, and seamless user experience. The future is now, and you ll shape it! Collaboration & Leadership: You ll be the go-to expert collaborating with product owners, business analysts, and other stakeholders to turn ideas into powerful technical specifications. You ll mentor junior developers and foster a culture of continuous improvement. Shape the Future: Stay ahead of the curve by exploring and adopting new Salesforce features and best practices, ensuring our solutions are cutting-edge and future-ready. Code Review & Mentorship: Set the bar high with quality code and ensure best practices are followed. As a leader, you ll mentor the next generation of Salesforce developers, empowering them to reach new heights. What You Bring to the Table: Experience: With 5+ years of experience as a Salesforce Developer, you know the ins and outs of Salesforce customization and have a proven track record of success. Technical Mastery: Proficiency in Apex, Visualforce, Lightning Components, and Salesforce APIs (REST/SOAP). Expertise in Salesforce configuration and customization with a keen eye on best practices and data modeling. Leader: You ve led teams, driven projects, and know how to mentor others to success. You re as passionate about teaching as you are about developing. Problem-Solver: You thrive in complex environments, solving intricate technical challenges with creativity and elegance. Communicator: Your communication skills allow you to connect with both technical and non-technical stakeholders, bridging gaps and ensuring everyone s on the same page. Preferred Skills (If You ve Got Them, Even Better!): Salesforce Certifications (e.g., Salesforce Platform Developer II, Salesforce Architect). Experience with Salesforce Lightning Web Components (LWC) and DevOps practices for CI/CD in Salesforce environments. Familiarity with MuleSoft or Informatica integration tools. What You ll Get from Us: A Purpose-Driven Career: At Cencora, your work isn t just a job; it s a chance to contribute to a mission that truly matters improving healthcare and making a tangible impact. Growth & Development: We re all about growth personally, professionally, and technically. From mentoring junior developers to continually refining your skills, we ll support you in becoming the best version of yourself. A Collaborative & Inclusive Team: Work alongside people who are as passionate and innovative as you. We value diversity, encourage creativity, and celebrate teamwork. Comprehensive Benefits: From health benefits to work-life balance, we ve got you covered with offerings that reflect the best of what s out there. At Cencora, we don t just develop software we build the future of healthcare. And we need your Salesforce skills to make that vision a reality. Join us on this exciting journey and help us create healthier futures. If you re ready to be part of something innovative, purposeful, and impactful, we d love to hear from you. Apply today and make your mark! Qualification : Bachelors Degree in Computer Science, Information Technology or any other related discipline or equivalent related experience.

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