Experience Architect Jobs in Pune

Job Title: Java Architect Integration Engineering Location: Pune Team: Integration Engineering About Anchanto Anchanto is a global SaaS technology company that powers eCommerce automation and logistics solutions for enterprises and 3PLs. Our Integration Engineering team develops scalable, high-performance integrations connecting our products with marketplaces, ERPs, WMS, OMS, and other enterprise systems across the globe. We are looking for a seasoned Java Architect to lead the design, development, and delivery of our integration framework, guide engineering best practices, and define the technical vision for integrations that serve businesses worldwide. As a key driver of innovation, you will also champion the adoption of AI tools to enhance productivity, code quality, and development processes. The Role As a Java Architect Integration Engineering, you will: Define integration architecture standards, design patterns, and development best practices to ensure scalable and robust solutions. Lead the end-to-end design and development of integrations with a variety of internal and external systems, utilizing Spring Boot and modern Java frameworks. Collaborate closely with customers to understand their integration requirements, business processes, and objectives. Work with the solution team to document and finalize integration designs, architecture, and data mappings. Champion AI-driven development practices by integrating tools like Cursor AI and other AI-assisted coding solutions into the team s workflow. Partner with Product Management, Pre-Sales, and Implementation teams to translate business needs into actionable technical designs. Guide and mentor engineers, fostering a culture of technical excellence, innovation, and AI adoption within the integration team. Play a hands-on role in building Proof-of-Concepts (POCs), solving complex integration challenges, and driving mission-critical deliveries. Collaborate with leadership to define the roadmap for integration products and platform capabilities. Key Responsibilities Architect and oversee the implementation of integration solutions, leveraging Spring Boot, REST APIs, messaging systems, and event-driven architectures. Define and enforce integration design patterns (e.g., EAI, ESB, SOA, pub/sub, ETL) to ensure reusability, scalability, and maintainability. Lead technical discovery sessions with customers to understand integration requirements and create clear, actionable solution blueprints. Collaborate with internal solution architects, product managers, and customer success teams to ensure integration feasibility and alignment with business objectives. Introduce and evaluate AI-powered development tools, integrating solutions like Cursor AI, GitHub Copilot, and others into the engineering process to improve efficiency, code quality, and documentation. Promote a culture of AI-first problem solving in architecture design, code reviews, and automation within the team. Establish frameworks and automation to accelerate the onboarding of new integrations. Evaluate and recommend technologies, tools, and cloud services (primarily AWS) to optimize integration performance and scalability. Review solution designs and code to ensure adherence to architectural principles and coding standards. Support pre-sales activities with architecture diagrams, integration approaches, and technical feasibility assessments. Lead technical discussions with external partners, vendors, and enterprise customers to ensure alignment on integration strategies and solutions. Required Skills & Experience 15+ years of software development experience, with at least 3+ years as an Architect. Strong hands-on expertise in Java (Java 8+), Spring Boot, and microservices architecture. Solid understanding of integration patterns, enterprise architecture, and middleware solutions. Experience with REST APIs, messaging systems (Kafka, RabbitMQ), and data transformation (e.g., JSON, XML, CSV). Proficiency with AWS cloud services relevant to integration, such as API Gateway, Lambda, SQS/SNS, ECS, RDS, etc. Familiarity with CI/CD pipelines, Git workflows, branching/merging strategies, and code quality tools. Linux proficiency and experience with shell scripting. Experience building connectors/adapters for ERP, WMS, OMS, CRM, or eCommerce platforms is a plus. Exposure to integration tools such as TIBCO, Informatica, SnapLogic, WebMethods, or MuleSoft is advantageous. Strong problem-solving skills, with the ability to think out-of-the-box and adapt to evolving priorities. Excellent communication and leadership skills, with the ability to influence teams across functions. Bonus / Good to Have Experience in AI-assisted development, especially using tools like Cursor AI, GitHub Copilot, Tabnine, or similar. Familiarity with prompt engineering and integrating AI APIs (e.g., OpenAI, Anthropic) into developer tooling or backend services. Understanding of ML Ops principles and how AI models can be integrated into enterprise applications. A proven track record of evangelizing AI adoption in engineering teams to enhance productivity and foster innovation. Work on global integration projects for a leading SaaS platform serving top-tier retailers, brands, and logistics companies. Lead impactful projects utilizing cutting-edge Java, Spring Boot, AWS, and AI-driven development tools. Collaborate with a globally distributed product and engineering team in an innovation-driven environment. Contribute to the future of Anchanto s integration platform, shaping scalable and robust solutions for enterprises worldwide.

Software Developer (.NET) Designation: Software Engineer Location: Pune Experience: 5 10 years Qualifications B.E. in IT/Computer Science/Electronics/Telecom/MCA/MCS/MSc (Computer Science) Key Skills & Technologies Must-Have: Strong foundation in Object-Oriented Programming (OOP) Expertise in .NET framework with C# Hands-on experience with front-end frameworks like Vue.js, React.js, or Angular.js (SPA development) Proficiency in JavaScript, HTML/HTML5, and CSS Comfortable working on both desktop and web application development Strong analytical and requirement gathering skills Familiar with UML and OOAD for designing software at both high and low levels Experience with version control tools such as SVN, ClearCase, Git, etc. Nice-to-Have: Experience with desktop applications (WinForms/WPF) Knowledge of Typescript for front-end development Familiarity with ASP.NET web services and REST APIs Experience with microservices architecture Working knowledge of communication protocols (serial, Ethernet, OPC, Modbus) Understanding of SOLID principles and software design patterns Familiar with version control branching, tagging, and labelling Experience with unit testing frameworks (e.g., NUnit, XUnit) Behavioral Competencies Strong team player with excellent collaboration skills across cross-functional teams Eager to learn new technologies and adapt quickly Agile and self-motivated with a proactive approach Ability to take ownership and manage tasks independently Open to switching contexts and technologies as per project needs Role & Responsibilities Take ownership of requirements and defect fixes with minimal supervision Collaborate with the team to analyze requirements and propose optimal solutions Design software in consultation with the team lead, ensuring alignment with project objectives Follow established software development processes and best practices Proactively manage tasks, providing regular updates and identifying risks early Be adaptable and flexible in switching between different tasks and technologies Mentor and provide technical guidance to junior team members Qualification : B.E. in IT/Computer Science/Electronics/Telecom/MCA/MCS/MSc (Computer Science)

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: Technical Architect Designation: Assistant Manager Experience Required: 14 Years Location: Pune Role Overview: We are looking for an experienced Technical Architect to lead the architecture and design of embedded systems, specifically Electronic Control Units (ECUs). This role involves defining the overall hardware and software architecture, ensuring alignment with project goals, and managing cross-functional technical teams. Key Responsibilities: Serve as the technical leader for embedded system projects, primarily focused on ECU development. Define and govern end-to-end system architecture, covering both hardware and software components. Provide architectural guidance throughout the project lifecycle from concept to deployment. Collaborate closely with hardware, software, and validation & verification (V&V) teams to ensure cohesive integration. Manage and coordinate efforts across team leads from software, hardware, and V&V divisions. Review and approve technical documentation, design specifications, and system requirements. Ensure adherence to industry standards, scalability, and best practices in system architecture. Qualifications: B.E./B.Tech in Electronics, Electrical, or Computer Science Engineering. 14+ years of experience in embedded systems development with a strong background in system architecture. Proven experience in leading multidisciplinary technical teams. Solid understanding of both hardware and software aspects of embedded system design. CDAC certification in VLSI or a related domain is an added advantage. Qualification : B.E./B.Tech in Electronics, Electrical, or Computer Science Engineering

Cybersecurity Expert Experience: 9 13 Years Location: Pune Role Overview: We are seeking a highly skilled Cybersecurity Expert with 9 13 years of experience in automotive or embedded systems cybersecurity. The ideal candidate will have strong hands-on experience in Threat Analysis and Risk Assessment (TARA), system-level security requirement derivation, and a solid grasp of cryptographic algorithms. Familiarity with ISO 21434 and cybersecurity process development is essential. Key Responsibilities: Derive detailed cybersecurity requirements from high-level system and functional requirements Conduct and lead Threat Analysis and Risk Assessments (TARA) to identify potential security vulnerabilities and recommend mitigations Evaluate and apply cryptographic algorithms to ensure data confidentiality, integrity, and authentication Contribute to the development, implementation, and maintenance of cybersecurity processes in alignment with ISO/SAE 21434 standards Collaborate with cross-functional engineering teams to integrate cybersecurity measures throughout the product development lifecycle Support audits and assessments related to cybersecurity compliance Key Qualifications: Experience: 9 13 years in embedded systems, automotive, or related cybersecurity domains Deep understanding of TARA methodologies and practical application in live projects Proven experience in working with and applying cryptographic protocols and algorithms (e.g., AES, RSA, ECC, SHA) Hands-on involvement in implementing cybersecurity processes aligned with ISO 21434 Strong analytical thinking, risk management mindset, and attention to detail Preferred Attributes: Professional certifications in cybersecurity (e.g., CISSP, CEH, GICSP, ISO 21434 training/certification) Knowledge of automotive systems, ECUs, CAN protocols, or embedded architecture Experience with security tools and platforms (e.g., threat modeling tools, secure code analyzers) Excellent written and verbal communication skills

Lead Salesforce Architect Location: Pune Role Overview: We are seeking a highly experienced and strategic Salesforce Architect to lead the design and delivery of enterprise-level Salesforce solutions. In this role, you will work across multiple Salesforce clouds and integration platforms to architect scalable, secure, and high-performing solutions that align with our business goals. Key Responsibilities: Architect and oversee the implementation of Salesforce solutions across Sales Cloud, Service Cloud, Experience Cloud, Marketing Cloud, and Health Cloud. Leverage Salesforce out-of-the-box capabilities to minimize custom development and optimize performance. Lead technical solutioning using Apex, Lightning Web Components (LWC), and declarative tools. Design and manage integrations between Salesforce and external systems using MuleSoft, REST/SOAP APIs, and middleware technologies. Define and implement CI/CD pipelines using tools such as Git, Jenkins, Azure DevOps, Copado, or Gearset. Translate complex business requirements into scalable, maintainable technical solutions. Conduct comprehensive code and architecture reviews to ensure alignment with industry best practices, performance, and security standards. Collaborate with business stakeholders and cross-functional teams to drive platform strategy, roadmap development, and delivery execution. Required Qualifications: 8+ years of hands-on experience with the Salesforce platform, including 3+ years in a Salesforce Architect role. Deep expertise in Sales Cloud, Service Cloud, and Experience Cloud; experience with Health Cloud is preferred. Strong development skills with Apex, Lightning Web Components (LWC), and a deep understanding of the Salesforce metadata model. Comprehensive knowledge of Salesforce configuration, security models, sharing rules, automation tools, and platform limitations. Proven experience with MuleSoft and API-led integration architecture. Solid understanding of DevOps, CI/CD, and sandbox management within Salesforce ecosystems. Ability to lead architectural discussions and translate strategic business objectives into actionable technical designs.

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

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 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: Engineering Manager / Technical Architect Scalable System Design & Cloud Solutions Location: Pune, India Experience Level: 8+ Years Job Type: Full-Time | On-site / Hybrid / Remote (Customize based on company policy) Job Summary We are looking for an experienced Engineering Manager / Technical Architect based in Pune with over 8 years of proven expertise in designing and implementing scalable, secure, and high-performance system architectures. This is a key leadership role responsible for driving technical strategy, mentoring engineering teams, and ensuring successful delivery of complex software solutions using cloud technologies (AWS, Azure, GCP) and microservices-based architectures. Key Responsibilities Architect and implement scalable, cloud-native solutions across multiple enterprise projects. Drive technical strategy, define architectural standards, and enforce best coding practices. Design and lead development of microservices-based applications with strong integration to cloud platforms. Collaborate with stakeholders, product owners, and engineering teams to align technology with business goals. Evaluate and introduce emerging technologies and frameworks to improve system performance and development speed. Guide development teams on API design, cloud infrastructure, and system performance optimization. Ensure systems comply with security standards and implement secure coding practices. Lead code reviews, mentor team members, and foster a culture of technical excellence and knowledge sharing. Required Qualifications Bachelor's or Master's degree in Computer Science, IT, or related field (B.E./B.Tech/MCA). 8+ years of experience in software architecture, backend development, and system design. Proficiency in at least one backend language such as Java, Node.js, or .NET. Strong expertise in microservices architecture, RESTful APIs, and GraphQL. Hands-on experience with cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform (GCP). Knowledge of containerization tools such as Docker and Kubernetes. Solid understanding of SQL/NoSQL databases and caching mechanisms. Familiar with CI/CD pipelines, DevOps tools, and Agile software development methodologies. Excellent problem-solving, analytical thinking, and communication skills. Preferred Skills Deep knowledge of cloud-native application development and distributed system design. Strong leadership experience, with the ability to mentor and guide engineering teams. Demonstrated ability to troubleshoot complex technical challenges and ensure high-quality delivery. Be part of a fast-growing tech team in one of India s most vibrant IT hubs. Work on high-impact projects using modern cloud and backend technologies. Collaborate with experienced professionals in a culture that values innovation and ownership. Qualification : Bachelor's or Master's degree in Computer Science, IT, or related field (B.E./B.Tech/MCA).

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

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

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

Data Engineer IBM Consulting About the Role Join us at IBM Consulting in one of our Client Innovation Centers, where we deliver specialized technical and industry expertise to both public and private sector clients worldwide. Our centers bring local skills and technical capabilities to help clients drive innovation and adopt cutting-edge technologies. A career at IBM Consulting is built on fostering long-term relationships and collaborating closely with clients around the globe. You ll work with leaders across multiple industries to advance the hybrid cloud and AI journeys of some of the world s most innovative and influential companies. Your ability to create impactful change will be empowered by IBM's strategic partner ecosystem and our robust technology platforms, including IBM Software and Red Hat. At IBM, curiosity and a continual pursuit of knowledge form the cornerstone of success. In your role, you'll be encouraged to challenge norms, explore new ideas beyond your immediate responsibilities, and deliver innovative solutions that make a meaningful difference for clients. Our culture is rooted in growth and empathy, ensuring long-term career development in an environment that celebrates your unique skills and experiences. Your Role and Responsibilities As a Data Engineer at IBM, you ll unlock the power of data, revealing insightful stories and complex patterns. You ll contribute to data gathering, storage, and both batch and real-time processing, playing an essential role in defining data management systems and identifying key data for analysis. Your key responsibilities will include: Predictive Modeling: Implementing, validating, and maintaining statistical and predictive models, utilizing big data techniques along with various machine learning methodologies. Enterprise Search Applications: Designing and deploying enterprise search applications like Elasticsearch and Splunk to meet client-specific needs. Collaboration & Agile Practices: Working in an agile, team-oriented environment, collaborating with data scientists, engineers, consultants, and database administrators to bring statistical rigor to predictive behavior challenges. Data Integration & Cleansing: Developing teams or writing programs to efficiently cleanse and integrate data, build predictive models, and evaluate the results. Required Education Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Preferred Education Master's Degree in a relevant technical discipline. Required Technical and Professional Expertise 4+ years of experience in data modeling and data architecture. Proficiency in data modeling tools like ERwin, IBM Infosphere Data Architect, and experience with database management systems. Familiarity with various data models, including relational, dimensional, and NoSQL databases. Strong understanding of business processes and how data supports business decision-making. Expertise in database design principles, data warehousing concepts, and data governance practices. Preferred Technical and Professional Experience Exceptional analytical and problem-solving skills, with a sharp attention to detail. Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously. Knowledge of SQL or similar programming languages. At IBM Consulting, we foster a culture of growth, innovation, and collaboration. As a Data Engineer, you ll have the opportunity to work with some of the brightest minds in the industry, all while impacting critical data-driven solutions for global clients. Join us and be a part of a diverse team committed to driving change and shaping the future of technology and analytics. Qualification : Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.

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.

Location: Pune Role: Full Stack Developer (React.js / Node.js / Angular.js) Roles & Responsibilities: Minimum of 3 years experience working on consumer-facing web applications, preferably in domains like e-commerce, banking, or other commercial platforms. Expertise in React.js, Node.js, Angular.js, along with strong proficiency in HTML, CSS, and JavaScript. Hands-on experience with OAuth2, JWT, and REST APIs. Strong understanding of algorithms, data structures, and computer science concepts such as asynchronous processing, multi-threading, queuing, and pub-sub architectures. Experience with modern authorization mechanisms, including JSON Web Tokens (JWT). Familiarity with common front-end development tools, such as Babel, Webpack, NPM. Ability to interpret business requirements and translate them into technical solutions. Proven ability to benchmark and optimize web applications for performance and scalability. Experience working with version control tools like Git, SVN, or Mercurial. Previous exposure to building and maintaining large-scale SaaS applications. Experience working with public cloud platforms, with preference for GCP (but AWS/Azure is also acceptable). Preferred Skills: Exposure to microservices architecture. Experience working in agile environments. Familiarity with containerization technologies like Docker/Kubernetes.

Role: Software Engineer Department: Research & Development About Entrata Since our founding in 2003, Entrata has grown from a visionary idea by college students transforming online rent payments into a global leader in property management technology. Today, we provide a comprehensive software suite supporting rent payments, leasing, maintenance, insurance, marketing, and communication tools, all aimed at reshaping the way property owners, managers, and residents interact. Entrata s culture thrives on intelligence, adaptability, and collaboration, with a global team of over 2,200 team members across multiple global offices. Our transparent, startup-inspired culture blends innovation with the stability of a market leader, driven by boldness, resilience, and a commitment to diverse perspectives. About the Role We re seeking a Software Engineer to join our R&D team. This role focuses on designing systems, collaborating with senior architects and offshore teams, and helping build the technical foundation for scalable products. You ll work closely with development managers, product teams, and UX designers, playing a key role in architectural decisions while also owning your own development projects. Key Responsibilities Develop well-structured, testable, and efficient code. Collaborate with Development Managers, UX designers, Product Managers, and offshore teams to solve technical challenges. Design high-performance database schemas and code architecture for core products. Empower offshore teams by providing clear guidance, regular communication, and technical oversight. Conduct code reviews, ensuring code quality, consistency, and scalability. Maintain and optimize database queries, writing scalable SQL. Contribute to both back-end and front-end development across the product lifecycle. Advocate for and participate in Agile and Scrum processes. Own the preparation and release of software components. Proactively manage high-traffic website operations, troubleshooting and resolving performance issues. Enhance existing features and refactor code for long-term improvement. Apply industry best practices and emerging technologies to improve service quality. Minimum Qualifications 3-5 years of development experience (PHP preferred). Experience with web-based applications. Strong proficiency in SQL and database management. Strong written and verbal communication skills. Ambitious, dedicated, and a little eccentric thrives in a collaborative, creative, and fast-paced environment. Team player committed to standardizing code and architecture. Preferred Qualifications Experience with microservices architecture. Experience working with offshore development teams.

About Whirlpool Corporation Whirlpool Corporation (NYSE: WHR) is a leading global kitchen and laundry appliance company, dedicated to improving life at home and inspiring generations with our iconic brands. Our brand portfolio includes Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2023, Whirlpool reported approximately $19 billion in annual sales, with a global team of 59,000 employees and 55 manufacturing and technology research centers. Learn more at WhirlpoolCorp.com. About the Team Join our global software development team responsible for building innovative software solutions for Whirlpool s smart and connected appliances. As part of a world-renowned electronics organization, you will collaborate with international teams to deliver high-quality, cutting-edge software that powers next-generation products across our global portfolio. Role Summary Analyst Software Developer (Connectivity/IoT) We are seeking a talented Analyst Software Developer to design and develop connectivity software components that seamlessly integrate into our appliance platforms. This role will lead the integration of SDKs and consumer-facing UX/UI requirements, delivering premium user experiences for our high-end appliance range. You will also play a key role in developing a software platform to support machine learning capabilities and deliver enhanced value-added services through Whirlpool s IoT ecosystem. Key Responsibilities Develop innovative solutions to detect, diagnose, and resolve appliance issues through smart diagnostic systems. Architect and design IoT applications that enable advanced appliance connectivity and remote functionalities. Build user-friendly connectivity features, enhancing product interaction through seamless mobile app integration. Implement wireless communication protocols and design robust solutions for remote appliance control and monitoring. Ensure adherence to coding standards and best practices, contributing to a culture of high-quality software development. Drive technical problem-solving by providing creative, scalable solutions and mentoring team members. Participate in code reviews, technical design discussions, and functional reviews to ensure software quality. Develop automated unit tests and maintain software quality metrics throughout the development lifecycle. Integrate software into appliances, enhancing product functionality, connectivity, and overall user experience. Minimum Qualifications Bachelor s or Master s Degree in Electronics Engineering, Computer Engineering, Computer Science, or Electrical Engineering. 6 - 10 years of relevant experience in Automotive (Dashboard/Infotainment), Appliance Industry, or related fields. Preferred Skills & Experience Strong understanding of computer science fundamentals, including data structures, algorithms, and object-oriented design. Expertise in Networking and Communication Protocols, including IoT protocols (MQTT, CoAP) and wireless standards (BLE, Zigbee, Wi-Fi), along with a deep understanding of TCP/IP stack. Hands-on experience with communication interfaces such as UART, SPI, I2C, and CAN. Proficiency in C/C++, JavaScript, Java, Python, and Shell Scripting. Familiarity with ARM Cortex and multi-core microcontroller architectures. Experience developing for RTOS, Linux, and Android, with strong multi-process/multi-threading capabilities. Expertise in BLE and Wi-Fi-based IoT application development. Experience optimizing performance and memory usage for embedded systems. Skilled in developing connectivity components that link appliances to IoT platforms. Proficient in version control systems like Git. Strong background in software design for 32-bit microcontrollers. Ability to adapt quickly to new languages, tools, and development environments. Additional Preferred Qualifications 6+ years of experience in developing applications within the connectivity/IoT domain. Proven expertise in wireless communication protocols. 8+ years of hands-on experience in embedded systems development. Strong understanding and practical knowledge of BLE/Wi-Fi stacks. Experience in performance and memory optimization for embedded platforms. At Whirlpool, you will be part of an innovative team shaping the future of connected appliances, working on cutting-edge technologies that enhance millions of lives every day. If you re passionate about building smarter, more intuitive products, we d love to have you on board. Qualification : Bachelors or Masters Degree in Electronics Engineering, Computer Engineering, Computer Science, or Electrical Engineering.

Job Title: PowerApps Developer Essential Job Functions: Lead the end-to-end design, development, and deployment of complex PowerApps applications (both canvas and model-driven), ensuring alignment with business goals and objectives. Architect and implement integrations with external data sources such as Dataverse, SQL Server, SharePoint Online, Azure services, and third-party APIs. Develop workflows and complex business process automations using Power Automate, ensuring processes are efficient, reliable, and scalable. Collaborate with cross-functional teams and key stakeholders to gather, analyze, and refine business requirements for application development and automation. Define and enforce PowerApps best practices, ensuring scalability, performance, reusability, and security across all applications and solutions. Build and manage custom connectors, component libraries, and reusable solutions within PowerApps and Power Automate. Address and resolve complex technical issues, providing ongoing support, maintenance, and optimization for current PowerApps applications and workflows. Maintain detailed documentation, including solution architecture, technical specifications, and user guides for the applications developed. Stay up-to-date with the latest advancements and capabilities in the Microsoft Power Platform, applying new features to enhance existing applications and business processes. Essential Skills and Experience: 5+ years of professional experience in designing and developing PowerApps (both canvas and model-driven apps) and Power Platform solutions. Proven experience in architecting, developing, and integrating PowerApps with external systems such as Dataverse, SharePoint Online, SQL Server, and Azure services. Advanced proficiency in Power Automate, with experience creating complex workflows and automations for business processes. Strong understanding of PowerApps governance, ALM (Application Lifecycle Management), and Power Platform administration. Experience in building custom connectors and API integration to extend PowerApps functionality. Expertise in data modeling, security roles, permissions, and performance optimization within PowerApps. Proficiency in scripting languages (JavaScript, HTML, CSS) to enhance PowerApps UI and functionality. Excellent problem-solving and analytical skills, with experience troubleshooting and debugging PowerApps applications. Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders. Preferred Skills: Microsoft Power Platform certifications, such as PL-400 (Power Platform Developer) or PL-600 (Power Platform Solution Architect). Familiarity with Power BI for reporting and data visualization. Hands-on experience integrating Dynamics 365 with PowerApps. Knowledge of DevOps practices and version control tools (e.g., Git) for Power Platform deployments.