Lead Mlops Engineer Jobs in Pune
427 Jobs Found
Lead Salesforce Engineer
Rapid7
Lead Salesforce Engineer Location: Pune About Rapid7 Rapid7 is a publicly traded cybersecurity company headquartered in Boston, MA, with 17 offices around the world. As we expand our global footprint into India, we are excited to grow our internal Application Engineering team. As a Salesforce Engineer, you will work alongside a global team to deliver best-in-class Salesforce solutions that meet business needs and optimize user experiences. You will have hands-on experience with Sales Cloud, Service Cloud, Experience Cloud, and CPQ, and you ll be proficient in both declarative configurations and advanced Apex coding. This is a unique opportunity to be one of the first hires for Rapid7 in India as we support our growth strategy in a culture that encourages innovation and continuous learning. About the Role As a Salesforce Engineer, you will design, develop, and support Salesforce solutions on Sales and Service Clouds. Working closely with other Salesforce team members, application owners, IT departments, and business stakeholders, you will deliver solutions that meet both technical and business requirements. Key Responsibilities Salesforce Administration: Manage and configure Salesforce environments, including Sales Cloud, Service Cloud, and Experience Cloud. Oversee system health, user permissions, profiles, workflows, and security settings. Implement and maintain changes using declarative tools such as Process Builder, Flow, and Validation Rules. Apex Development: Write and maintain Apex classes, triggers, Visualforce pages, and Lightning Web Components (LWC). Collaborate with senior developers and architects to design scalable solutions. Troubleshoot, optimize, and debug Apex code to ensure performance and stability. Unit Testing: Develop and maintain unit tests for custom Apex code, ensuring test coverage aligns with Salesforce best practices. Conduct comprehensive testing of code changes and strive for zero defects while optimizing test performance. CPQ (Configure, Price, Quote): Configure and manage Salesforce CPQ features, including price books, quote templates, products, and pricing rules. Troubleshoot CPQ-related issues and provide support for streamlining the quoting process. Collaboration and Support: Work with business analysts and other team members to gather requirements and deliver solutions. Maintain comprehensive documentation for configurations, workflows, code, and other technical solutions. Release Management: Utilize Gearset for deployment and release management, ensuring smooth Salesforce code and configuration deployments across multiple environments. Plan, execute, and document deployment processes, ensuring error-free releases through automated validation and rollback strategies. Jira Integration and Task Management: Use Jira for task management, project tracking, and collaborating on development sprints. SOX Controls & Change Management: Adhere to SOX controls to ensure compliance with IT regulations and auditing standards. Follow change management policies and procedures for implementing configurations, scripts, and integrations, ensuring all changes are properly tested, documented, and approved. Skills and Qualifications Experience & Certifications 8+ years of hands-on experience with Salesforce Sales Cloud, Service Cloud, Experience Cloud, and CPQ. Salesforce Certifications (ADM 201, ADM 211, Platform Developer I and II) are highly desirable. Strong experience with Salesforce integrations, APIs, and external systems. Experience using Jira for task and project management in an Agile environment. Hands-on experience with Gearset for deployment and release management in Salesforce. Technical Skills Expertise in Apex, Visualforce, Lightning Web Components (LWC), SOQL, and SOSL. Strong knowledge of Salesforce CPQ features and pricing rule configuration. Ability to write efficient, scalable unit tests for custom Apex code. Familiarity with Git and version control practices. Soft Skills & Attributes Strong analytical and problem-solving skills. Excellent communication skills, with the ability to work remotely with a global team. Detail-oriented with the ability to manage multiple tasks concurrently. Preferred Qualifications Experience working with global teams, especially in an Agile framework. Knowledge of Salesforce integrations (e.g., REST, SOAP APIs) and third-party tool integrations. Experience with Salesforce Data Loader, Change Sets, and Salesforce DX. Security and Compliance At Rapid7, we prioritize security and privacy. All employees are expected to adhere to the highest standards of security, ensuring the protection of sensitive information and compliance with applicable regulations.
Principal Ai Engineer - Mlops
Rapid7
Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.
Sr.software Engineer
General Industrial Controls
Job Title: Senior Software Engineer Firmware Development Location: Pune Experience: 5 to 7 Years Qualification: B.E./B.Tech or M.E./M.Tech/M.Sc. in Electronics, Instrumentation, Telecommunication, or Electrical Engineering Job Summary We are looking for an experienced and innovative Senior Software Engineer to lead the firmware development for embedded systems across our product lines. This role involves designing and developing embedded software architectures, conducting design validations, and collaborating closely with cross-functional teams to ensure robust, scalable, and high-performance solutions that meet product requirements and quality standards. Key Responsibilities 1. New Product Development Analyze customer requirements and conduct technical feasibility studies. Design product architecture (SW, HW, FW) and finalize key components and tools. Create detailed block diagrams, signal flows, class diagrams, and DFMEAs. Develop firmware for embedded systems including GUI, drivers, communication protocols, etc. Perform code reviews, debugging, and unit testing. Validate designs through simulation and field testing. Prepare all technical documentation for engineering release. Collaborate with testing teams to address test feedback and implement corrective actions. 2. Standards & Documentation Define and maintain software design guidelines, SOPs, and coding standards. Ensure adherence to product standards, including both Indian and International codes. Maintain comprehensive documentation including schematics, flowcharts, and technical manuals. 3. Project Monitoring & Reporting Participate in project review meetings and provide regular updates. Maintain timesheets and project tracking tools in accordance with project timelines and SPI targets. 4. Customer Support & RCA Address and resolve firmware-related customer complaints. Conduct root cause analysis (RCA) and implement corrective firmware releases. 5. Knowledge Sharing & Innovation Contribute to internal knowledge bases and reusable component libraries. Propose improvements to design methodologies, tools, or processes as part of continuous innovation. Actively contribute to the organization s technology roadmap with new ideas and solutions. Key Skills & Competencies Technical Skills: Strong experience in firmware development for embedded systems. Expertise in .NET platform, C/C++, and object-oriented programming. Experience with GUI development, communication protocols (UART, I2C, SPI, CAN, etc.). Familiarity with design simulation, debugging tools, and unit testing frameworks. Knowledge of design for manufacturability (DFM) and design for testability (DFT). Understanding of DFMEA, IPC standards, and product lifecycle management. Experience in compliance with Indian and International product standards. Behavioral & Leadership Skills: Strong analytical and problem-solving capabilities. Excellent written and verbal communication skills. Highly accountable, dependable, and self-motivated. Customer-focused with a drive for results. Collaborative mindset with the ability to work across multidisciplinary teams. Willingness to innovate and share knowledge for team and organizational growth. Performance Indicators Timely delivery of assigned modules (Schedule Performance Index) Adherence to design and coding standards Reduction in post-release bugs Quality and completeness of documentation Effectiveness in RCA and bug resolution Contributions to knowledge sharing and innovation Be part of a forward-thinking engineering team working on cutting-edge embedded and software technologies. Collaborate with industry experts in a high-performance environment. Access to continuous learning, upskilling programs, and certification support. If you re passionate about embedded systems and software architecture and ready to make an impact, we d love to hear from you. Apply now! Qualification : B.E./B.Tech or M.E./M.Tech/M.Sc. in Electronics, Instrumentation, Telecommunication, or Electrical Engineering
Data Science Engineer
Cognologix
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.
Senior Engineer Projects
Forbes Marshall
Senior Engineer Projects Location: Pune Role Overview As a Senior Engineer Projects, you will lead the mechanical engineering design and documentation efforts for projects from start to finish. Your responsibilities include reviewing customer specifications, finalizing basic designs (P&IDs, GA drawings, BOM), performing piping and structural analyses, and coordinating with vendors and internal teams. You will ensure quality compliance, support procurement through technical evaluations, engage with customers for clarifications and deviations, and oversee project progress through to successful handover. Purpose of the Role Deliver high-quality mechanical engineering design and project execution aligned with customer requirements and industry standards. Key Responsibilities Review customer specifications and inputs to define project scope Generate and manage project documentation and drawings Lead engineering design activities and finalize project basic designs including P&IDs, mechanical equipment layouts, GA drawings, and bills of materials Perform piping and structural analysis; coordinate with designers and engineers to implement design changes Engage with customers through kickoff meetings, query resolution, and deviation management Ensure quality compliance of project documentation and maintain quality records Prepare enquiry datasheets and material requisitions for long lead mechanical items Evaluate vendor technical bids and review vendor drawings and documents Manage sub-vendors through follow-ups, design reviews, and escalation handling Monitor mechanical work progress and report project status and scope variations to project managers Prepare as-built documentation and coordinate project handover to services Perform engineering calculations including pressure drop, head loss, pipe wall thickness, and lifting lug design Provide technical engineering support to E&I, Quality, Purchasing, and Project Management teams Participate in internal and external audits and project kickoff meetings as needed Eligibility & Qualifications Bachelor s degree in Mechanical Engineering Minimum 4 years of experience in piping, oil & gas, or process industry projects Strong knowledge of oil & gas equipment, instruments, piping, and structural systems Familiarity with industry standards such as ASME, ANSI, API, API MPMS, ISO related to oil & gas measurement services Experience with piping and structural welding and non-destructive testing methods Good experience in meter and prover sizing Proficiency in stress analysis using CAESAR-II, STAAD, or equivalent tools Excellent analytical, communication (verbal & written), and drawing skills (AutoCAD/MicroStation) Proficient in Microsoft Office Suite Results-driven, decisive, and capable of delivering innovative solutions Qualification : Bachelors degree in Mechanical Engineering
Lead Engineer - Bim Electrical
Neilsoft Limited
Job Title: Lead Engineer BIM Electrical Location: Pune Qualification: B.E. (Electrical or related field) Experience: 8 12 Years Role Overview: We are seeking an experienced Lead Engineer BIM Electrical to take full ownership of BIM-related electrical deliverables across diverse MEP projects. The ideal candidate will bring deep expertise in Revit MEP, strong coordination capabilities, and a proven track record of working on international, multidisciplinary projects. This is a leadership role focused on technical excellence, BIM implementation, and cross-functional collaboration. Key Responsibilities: Lead and manage the BIM Electrical function, ensuring high-quality modeling, coordination, and documentation across all projects. Oversee the implementation and management of BIM software tools relevant to Electrical systems. Assist project teams with BIM project setup, model configuration, and adherence to organizational standards. Support active project work including Revit MEP 3D modeling, detailing, and clash coordination. Liaise and coordinate directly with clients, consultants, and other engineering disciplines for seamless project delivery. Troubleshoot and resolve BIM design or modeling issues to maintain workflow efficiency. Develop, document, and update BIM implementation strategies, standards, and best practices. Conduct technical onboarding and training for new team members on BIM tools and workflows. Required Skills & Experience: Proven expertise in Revit MEP Electrical 3D modeling and detailing. Strong experience in BIM coordination, particularly across MEP disciplines. Exposure to international projects and understanding of global BIM standards and workflows. Experience in multidisciplinary coordination, especially in large-scale projects such as commercial, residential, mixed-use, and institutional buildings. Good understanding of 3D electrical systems, components, and layouts typically used in building projects. Strong visualization and spatial coordination skills, with the ability to work on complex architectural and MEP projects. Effective communication skills, with the ability to lead and mentor junior engineers and collaborate with cross-functional teams. Qualification : B.E. (Electrical or related field)
Software Engineer (ai/ml)
Neilsoft Limited
Job Title: Software Engineer AI/ML Location: Pune Qualification: B.E./B.Tech/M.E./M.Tech Experience: 2 4 Years Reporting To: Lead Software Engineer / Project Manager Role Overview: We are seeking a passionate and skilled AI/ML Software Engineer to join our growing team. The ideal candidate will be responsible for designing and developing intelligent systems using cutting-edge Machine Learning and Artificial Intelligence techniques. You will play a key role in building data-driven solutions that automate decision-making and improve business outcomes. Key Responsibilities: Study, analyze, and transform data science prototypes into functional ML solutions. Design and build AI and Machine Learning systems to automate predictive models. Research, implement, and optimize ML algorithms and tools based on project needs. Select appropriate datasets and design suitable data representation techniques. Develop, test, and fine-tune ML models through rigorous experimentation and statistical analysis. Train, retrain, and update ML systems as required. Extend or customize existing ML libraries and frameworks. Stay updated with the latest trends and advancements in AI/ML technologies. Required Skills & Abilities: 2 4 years of hands-on experience in AI/ML development. Solid understanding of Data Structures, Algorithms, and strong mathematical aptitude. Strong programming skills in Python, with working knowledge of scikit-learn, pandas, and other core ML libraries. In-depth knowledge of AI/ML algorithms, model evaluation techniques, and performance metrics. Experience with Deep Learning frameworks like TensorFlow, Keras, or PyTorch is a plus. Exposure to MLOps tools for model deployment and monitoring is preferable. Good communication skills and ability to manage interactions with clients and cross-functional teams. Strong problem-solving attitude and a willingness to learn continuously. Qualification : B.E./B.Tech/M.E./M.Tech/MCA
Sr Data Engineer
Vconstruct Private Limited
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
Automation Engineer Mechatronics
Renata Precision Components
Position: Automation Engineer Mechatronics Location: Pune, Maharashtra, India Employment Type: Full-Time Company: RENATA Precision Components Pvt. Ltd. Industry: Plastic Injection Moulding Automotive & Allied Sectors Experience Required: 5 9 years Company Overview RENATA Precision Components Pvt. Ltd. is a leading manufacturer of high-quality plastic injection moulded components, serving the automotive and other precision-demanding sectors. With a commitment to innovation and reliability, we deliver engineering excellence through advanced manufacturing technologies. Position Overview We're looking for a skilled and motivated Automation Engineer Mechatronics to lead the development, implementation, and optimization of Special Purpose Machines (SPMs) and automation systems. The ideal candidate will play a key role in evaluating project feasibility, managing technical documentation, vendor coordination, PLC and robot programming, and providing ongoing support for production and maintenance teams. Key Responsibilities Evaluate new project requirements and propose appropriate automation technologies. Participate in cross-functional team (CFT) and customer meetings to define project scope. Prepare and manage technical documents such as concept designs, time plans, and PFMEAs. Identify suitable vendors, issue RFQs, and evaluate quotations. Oversee project timelines from concept through commissioning and handover. Train production and maintenance teams for effective handling of new machines. Provide troubleshooting and maintenance support for SPMs and automation equipment. Identify process improvement opportunities and implement Kaizen initiatives. Qualifications Diploma or Bachelor's Degree in Electrical, Mechatronics, or Instrumentation Engineering. 5 9 years of relevant experience in automation engineering and SPM development. Technical Skills Required PLC Programming: Siemens, Delta, Mitsubishi. Robot Programming: ABB, Fanuc, Wittmann, Star, Epson, Yaskawa. Hands-on experience in SPM development, maintenance, and troubleshooting. Additional Skills Strong technical, supervisory, and project management skills. Proficiency in MS Office (Word, PowerPoint, Outlook, Internet). Resourceful, self-motivated, and results-oriented with the ability to multitask effectively. Be part of a forward-thinking team at RENATA, where engineering, innovation, and quality converge. If you're passionate about automation, thrive in a fast-paced environment, and are eager to make a tangible impact on advanced manufacturing systems, we invite you to grow with us. Qualification : Diploma or Bachelor's Degree in Electrical, Mechatronics, or Instrumentation Engineering
Staff Data / Machine Learning Engineer
Druva
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.
Principal Engineer (Malware Research Scientist)
Druva
Job Title: Principal Engineer (Malware Research Scientist) Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and fidelity providing autonomous protection, rapid incident response, and assured data recovery. Trusted by over 6,000 customers including 65 of the Fortune 500, Druva protects business-critical data in today s evolving threat landscape. With a $10 million Data Resiliency Guarantee, Druva ensures robust defense against all cyber threats. Role Overview: As a Principal Engineer (Malware Research Scientist), you will lead the design and establishment of a cutting-edge malware analysis lab and manage a team of researchers focused on deep technical investigations. You will conduct hands-on research, especially on ransomware, to uncover threat behaviors and generate actionable intelligence. Your insights will directly influence product security features by providing malware artifacts and indicators of attacks (IOAs) to engineering and product teams, strengthening Druva s product security posture. Key Skills & Expertise: Proven background as an Enterprise Security Architect or equivalent. Expertise in threat modeling and risk mitigation at organizational and technical levels. Comprehensive understanding of cloud security (AWS, Azure, OCI), Linux, M365 application/API security, firewalls, IDS/IPS, sandboxing, threat intelligence, vulnerability assessment, SIEM, auditing, encryption, and data loss prevention. Relevant certifications such as OSCP, SANS, or equivalent security certifications are highly desirable. Strong communication skills with the ability to present complex technical topics clearly. Deep technical knowledge of malware behavior, cyber kill chain, incident response, forensic data collection, disaster recovery, and ransomware impact. Hands-on experience in these areas is preferred. Roles & Responsibilities: Technical Leadership & Research: Design, implement, and maintain a secure and scalable malware analysis lab. Perform in-depth analysis of malware samples with a focus on ransomware variants. Utilize reverse engineering, static, and dynamic analysis techniques to dissect malware behavior and tactics. Identify, document, and communicate Indicators of Compromise (IOCs), MITRE ATT&CK TTPs, and Indicators of Attack (IOAs). Analyze ransomware impacts on data, cloud infrastructure (AWS, Azure, GCP), and SaaS platforms (M365, Google Workspace). Develop innovative detection and mitigation strategies for advanced malware threats. Stay abreast of emerging threat trends through continuous research and threat intelligence gathering. Collaboration & Communication: Partner with Product Managers to align research with customer requirements and support development of security features. Work with marketing to translate research insights into technical content like whitepapers, blogs, and presentations. Translate technical findings into clear, actionable reports for technical and non-technical stakeholders. Collaborate with engineering and security teams to integrate threat intelligence into incident response and security operations. Present research outcomes and threat intelligence updates to internal teams and leadership. Qualifications: Bachelor s or Master s degree in Cybersecurity, Computer Science, or a related discipline (or equivalent experience). 10+ years of experience in malware analysis and threat research. Proven track record of leading and mentoring security research teams, including training interns and junior researchers. Deep expertise in malware analysis techniques such as reverse engineering, static analysis, dynamic analysis, and sandbox environments. Strong knowledge of ransomware variants and their operational impact on various infrastructures. Excellent verbal and and written communication skills. Ability to manage multiple projects, work independently, and prioritize tasks effectively. A passionate and proactive approach to staying ahead in the cybersecurity threat landscape. If you re ready to lead high-impact malware research and shape the future of cyber resilience, Druva offers a compelling opportunity to join a world-class team protecting data on a global scale. Qualification : Bachelors or Masters degree in Cybersecurity, Computer Science, or a related discipline (or equivalent experience).
Data Architect
Indexnine Technologies Pvt. Ltd.
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.
Machine Learning Engineer
Scano
Job Title: Machine Learning Engineer Location: Pune Employment Type: Full-Time About the Role: We are seeking a Machine Learning Engineer with 1-3 years of hands-on experience to join our team. The ideal candidate will have proficiency in Python programming and a solid understanding of machine learning frameworks. You will work on building and deploying cutting-edge machine learning models and solutions, with a particular focus on computer vision and ML-Ops. Key Responsibilities: Develop Machine Learning Models: Build, train, and deploy machine learning models for various business applications. Computer Vision Solutions: Focus on building and deploying computer vision solutions at scale, leveraging frameworks like TensorFlow and OpenCV. Collaborate with Teams: Work with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into products. Code Quality & Documentation: Write clean, maintainable, and readable code. Document your code and solutions for ease of understanding and future reference. Work with Data Pipelines: Understand and implement data pipelines for training machine learning models, ensuring data is pre-processed and transformed correctly. Version Control & Best Practices: Use Git and follow version control best practices to ensure collaboration and code integrity across the team. Machine Learning Frameworks: Implement machine learning algorithms using frameworks like TensorFlow, Keras, OpenCV, and other relevant libraries. ML-Ops: Familiarity with deploying machine learning models into production environments and managing their lifecycle. Minimum Qualifications: Experience: 1-3 years of experience as a Machine Learning Engineer or Data Scientist. Agile Development: Familiarity with the Agile development lifecycle and collaborative software development practices. Code Readability & Documentation: Ability to write clean, readable code and document your work thoroughly for future use and team collaboration. Third-Party Libraries & APIs: Experience in consuming third-party libraries and APIs to extend the functionality of your machine learning solutions. Version Control: Experience with Git and version control best practices. Data Pipelines: Understanding of data pipelines and how to handle data preprocessing, cleaning, and transformation for machine learning purposes. Core Python: Proficiency in Python programming and popular data science libraries (e.g., NumPy, Pandas, etc.). Machine Learning Frameworks: Knowledge of machine learning frameworks like TensorFlow and OpenCV. Preferred Qualifications: ETL Tools: Experience working with ETL (Extract, Transform, Load) tools and libraries to manage and preprocess data for machine learning. Computer Vision: Hands-on experience with computer vision tasks, especially with MaskRCNN for object detection and segmentation. ML-Ops: Knowledge of ML-Ops practices for deploying, monitoring, and maintaining machine learning models in production environments. Work on cutting-edge machine learning and computer vision projects. Collaborate with a talented, cross-functional team to solve real-world problems. Opportunity to grow your career in a dynamic and innovation-driven environment. Competitive compensation and benefits package. If you're passionate about machine learning, computer vision, and deploying scalable solutions, we'd love to have you on our team!
Technical Lead Data
Syngenta
Tech Lead Data Overview: As a Tech Lead Data, you will provide technical leadership to a team of experts, helping implement information-driven strategies and systems that support agricultural scientists in developing solutions for growers. You will manage end-to-end implementation of data environments beyond architectural design, ensuring that real-life data systems are developed and executed efficiently. You are a highly motivated problem solver with the ability to prioritize shifting workloads in a dynamic environment. You are an effective communicator and a confident leader passionate about making things happen within a fast-paced organization. Key Responsibilities: Lead the development of data and analytics capabilities within the R&D node of the enterprise data mesh, implementing architectural blueprints for various data platforms. Develop and implement an organizational data strategy aligned with business processes, including data model design, database development standards, and management of data warehouses and analytics systems. Identify and manage both internal and external data sources, creating a data management plan aligned with the organizational strategy. Collaborate with cross-functional teams, stakeholders, and vendors to ensure the smooth functioning of the enterprise data ecosystem. Guide the technical direction of data projects and initiatives, ensuring best practices in data engineering and analytics. Integrate technical functionality to ensure data accessibility, accuracy, and security. Perform continuous audits of data management systems and address performance issues, reporting breaches or vulnerabilities to stakeholders. Experience & Skills Required: 9+ years of experience in Big Data, data warehousing, data analytics, and/or Information Management projects. Proven experience building large-scale enterprise data architectures using both commercial and open-source Data Analytics technologies. Strong data modeling and architecture skills, including expertise in data warehousing, data normalization, and dimensional modeling (e.g., OLAP, data vault). Understanding of predictive modeling, Natural Language Processing (NLP), text analysis, and Machine Learning. Knowledge of security integration, including Kerberos authentication, SAML, data security, privacy techniques like data masking, and tokenization. Experience with DevOps engineering and Continuous Integration/Delivery tools. In-depth understanding of AWS Cloud solutions and integrating into legacy systems and COTS solutions. Familiarity with the following tools: Data Ingestion: Snaplogic, Glue, Lambda Storage: S3 Processing: Databricks DWH: Redshift, Databricks SQL Warehouse Databases: RDS Languages: Python (pyspark), SQL (sparksql), Java, R BI Tools: PowerBI, Dash, Spotfire, Qlik Catalog: Glue catalog, Unity Catalog Streaming: Kafka, EventHub AI/ML: MLOps, SageMaker Storage/Dataframe: S3, Deltalake, Iceberg, Parquet Qualifications: University bachelor s degree in Science, Technology, Engineering, or Mathematics (STEM). Fluency in English. Strong customer focus with excellent communication, teamwork, and negotiation skills. In-depth technical experience, ideally with AWS certification. Experience implementing data-first solutions. Experiences to be Gained: Continuous upskilling in the latest technologies, tools, and design practices. Exposure to R&D operations. Development of leadership and relationship-building skills with internal customers. Company Description: Syngenta Group is one of the world s leading sustainable agriculture innovation companies, with over 53,000 people in more than 100 countries. We strive to transform agriculture through tailor-made solutions for farmers, society, and the planet. We are committed to maintaining high standards of ethics, integrity, and creating an inclusive, discrimination-free workplace. Additional Information: Syngenta is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, veteran status, disability, or any other legally protected status. Qualification : University bachelors degree in Science, Technology, Engineering, or Mathematics (STEM).
Lead Software Engineer/architect, Software Engineering
Whirlpool Corporation
Role: Software Engineer Embedded Systems Company: Whirlpool Corporation About Whirlpool Corporation Whirlpool Corporation (NYSE: WHR) is a leading kitchen and laundry appliance company, driving innovation to enhance life at home. Our iconic brands include Whirlpool, KitchenAid, JennAir, Maytag, Amana, Brastemp, Consul, and InSinkErator. In 2023, Whirlpool reported approximately $19 billion in annual sales, with 59,000 employees and 55 manufacturing and technology research centers worldwide. Key Highlights: #1 Fortune 500 Consumer Durable company Market leader in North America, Latin America & leading western brand in Asia Annual sales turnover of $21 billion globally 70 manufacturing & technology centers globally 3 manufacturing locations in India Role Summary We are seeking a talented software engineer with expertise in embedded software development to join Whirlpool s global software development team. This role focuses on developing software for smart and connected home appliances, contributing to next-generation IoT innovations. Key Responsibilities Design and develop embedded software for Whirlpool products, with a strong focus on IoT integration. Analyze system requirements and translate them into software architecture and development tasks. Apply state-of-the-art industry solutions and best practices in embedded development. Develop and integrate software adhering to coding standards, design documentation, and unit testing. Collaborate across functional, technical, and code reviews. Provide creative and scalable solutions to complex software challenges. Minimum Requirements Bachelor s Degree in Electronics & Telecommunication (E&TC). 10+ years experience in embedded software development and microcontroller software design. Preferred Skills & Experience Bachelor s Degree in Electrical Engineering, Computer Engineering, or Computer Science. Strong expertise in IoT systems including TCP/IP stacks, WiFi networks, BLE, and RESTful protocols. Knowledge of network protocols (HTTPS, MQTT, JSON, XML). Understanding of encryption and OTA security protocols (TLS). Proficiency in C/C++, JavaScript, Java, Python, and Shell Scripting. Experience working in resource-constrained embedded environments. Solid understanding of data structures, algorithms, object-oriented design, operating systems, networking, wireless standards, and security protocols. Strong passion for innovation, learning, and applying cutting-edge technology to consumer products. Excellent communication skills and a collaborative mindset. If you re passionate about working at the intersection of software and smart appliances, this is an excellent opportunity to join a global leader in home innovation. Qualification : Bachelors Degree in Electronics & Telecommunication (E&TC).
Lead Engineer Hardware Development
Whirlpool Corporation
Role Overview Position: Hardware Engineering Lead Electronics Hardware Design As a Hardware Engineering Lead, you will spearhead the design, development, and validation of electronics hardware for advanced consumer appliances. You will drive innovation and ensure product reliability from concept to production through expertise in circuit design, PCB development, and system integration. Key Responsibilities Technical Leadership: Lead hardware design projects, guiding cross-functional teams through the entire development lifecycle. Conduct technical reviews, root cause analysis, FMEA, and validation processes to ensure robust, high-quality designs. Mentor junior engineers and influence critical design decisions. Circuit Design & PCB Development: Design analog, digital, and mixed-signal circuits, including motor controllers, power supplies (AC/DC, DC/DC), and microcontroller-based systems. Develop schematics, perform circuit simulations (PSPICE, LTSPICE), and oversee PCB layout (using tools like Cadence Allegro). Optimize designs for manufacturability, testability, and regulatory compliance (UL, IEC, CE, BIS). System Integration: Collaborate with system architects and cross-disciplinary teams to integrate hardware solutions into product platforms. Manage component selection, de-rating analysis, and supplier coordination to meet performance, cost, and reliability goals. Qualifications Minimum Requirements: Bachelor's Degree in Electrical Engineering, Power Electronics, Electronics & Telecommunication Engineering, or a related field. Preferred: Master s Degree in Electrical or Power Electronics Engineering. Experience: 10+ years of experience in electronics hardware design for consumer appliances or similar industries. Preferred Skills & Expertise Strong hands-on experience in DC/DC SMPS and Linear Power Supply Design (flyback, buck converter, linear regulators). Expertise in component selection (resistors, capacitors, diodes, transistors, MOSFETs, IGBTs, gate drivers) and circuit protection (over-current/voltage protection). Proven track record in EMI/EMC design and troubleshooting. Proficient in performing detailed design calculations for currents and voltages across components. Skilled in using lab instruments (Power Supplies, Oscilloscopes, Logic Analyzers, Power Analyzers). Experience with engineering documentation (Test Plans, Test Reports, ECNs, Hardware Design Documents, Derating Analysis). Research mindset to explore innovative concepts and guide future product development. Ability to identify cost-effective technologies suited for mass production. Strong knowledge of magnetic design (inductors, transformers) for power electronics applications. Understanding of thermal management and EMC considerations in power electronics design. Familiarity with safety standards and regulations relevant to product design and certification. If you are passionate about driving innovation and want to work at the forefront of appliance technology, we d love to hear from you. Qualification : Bachelor's Degree in Electrical Engineering, Power Electronics, Electronics & Telecommunication Engineering, or a related field.
Senior Manager, Engineering
Whirlpool Corporation
Role Summary Product Design Engineer (Refrigerator Design) As a Product Design Engineer at Whirlpool, you will lead the design and development of parts for refrigerator products, focusing on plastics, sheet metal, and associated processes. You will leverage your expertise to drive the product lifecycle, from conceptualization to successful market delivery, ensuring that designs are manufacturable, reliable, and meet stringent safety standards. This role involves managing multiple projects, applying technical tools, and ensuring comprehensive project execution in a global engineering team environment. Educational Qualifications B.Tech in Mechanical Engineering or M.Tech in Design Engineering. Experience: B.E: 15-18 years M.Tech: 12-15 years Technical Expertise Design & Engineering: Proficiency in plastics and sheet metal design, specifically for refrigerator products. Solid understanding of engineering principles, including design for assembly, reliability, manufacturability, and safety. Expert in GD&T (Geometric Dimensioning & Tolerancing), design standards, and variation analysis. Strong skills in conceptualization, analytical thinking, and project planning/management. Ability to interpret simulation/test results to validate and improve designs. Project Management & Methodologies: Demonstrated ability to manage multiple projects simultaneously. Proficient in using APQP, OPEX/Six Sigma methodologies, and Lean tools for process improvement. Expertise in project planning, scope management, and risk management. Experience with tools like Concept Selection Matrix, DFMEA, Tolerance Stack-Ups, DVP, etc. Strong communication (written and verbal) and presentation skills. Managerial Expertise Global Team Experience: Exposure to working within a global engineering team, collaborating across diverse cultures and regions. Leadership Skills: Ability to coach, mentor, and direct engineers in subgroups, fostering an environment of growth and innovation. Flexibility & Adaptability: Skilled in adapting to fast-changing business needs and project priorities. Structured & Self-Organized: Ability to stay organized and structured in a dynamic, fast-paced work environment. Key Responsibilities Design and Documentation: Lead the design and release of product/subsystem/module/component designs and drawings as per project timelines and targets. Develop Design Validation & Verification Reports (Lab requests, Prototyping requests, Simulation requests). Document design guides, key suppliers, subsystem roadmaps, and ensure IP creation with an innovation-driven approach. Project Management: Drive projects using established product development processes across cross-functional teams. Manage project scope, schedule, and risk management to ensure execution aligns with agreed plans and cost targets. Lead and own cross-functional projects, coordinating with internal and external stakeholders. Develop and implement best practices for project management and work package management techniques. Technical Application & Tools: Apply Six Sigma tools (Certified Green/Black Belt), RCA, 8D, A3, DFMEA, and APQP methodologies. Utilize CAD tools (Creo 4.0/6.0), PLM Software (Windchill), and GD&T for tolerance stack-up analysis and design for variation. Conduct Value Analysis/Value Engineering (VAVE) and apply techniques to optimize designs and reduce costs. Additional Skills and Qualifications Certifications: PMP certification or equivalent project management training. Proven track record in leading product development projects, ensuring successful product integration across functions. In-depth experience working with global technology centers, vendors, manufacturing, and procurement teams to implement projects in production. At Whirlpool, you ll have the opportunity to work on innovative products that impact lives around the world. We value diversity and are committed to fostering an inclusive and supportive work environment where all employees are empowered to thrive.
Cobol Developer
Afour Technologies
Company: AFour Technologies (An ACL Digital Company) Location: Pune Employment Type: Full-time Company Overview AFour Technologies, part of ACL Digital (an ALTEN Group company), is a leader in digital product innovation and engineering. We specialize in AI, Cloud, and Mobile-ready solutions, helping clients build content-driven platforms and digital experiences. With a multicultural workforce spread across 30+ countries, we offer a collaborative and dynamic work environment. At AFour Technologies, we combine the creativity of product engineering with the reliability of a service mindset, giving our employees exposure to a unique mix of product and service-based development. What We Are Looking For We are seeking enthusiastic Cobol Developers who aspire to grow into senior leadership positions. Technical Skills & Core Competencies Strong experience in Cobol development. Excellent troubleshooting and problem-solving skills. Hands-on expertise with Linux distributions (CentOS, RedHat, Ubuntu, etc.). Experience with at least one database (SQL or NoSQL). Good to have: Experience with MS Technologies (.NET, C#, Azure) and REST API development. Key Responsibilities Write clean, well-structured, and efficient Cobol code. Adhere to coding standards and guidelines. Develop solutions with a focus on security and performance. Perform unit testing and debugging. Participate in design and code reviews. Maintain a high standard of code quality and promote best practices. Collaborate with product and QA teams to ensure smooth development cycles. Provide timely status updates and participate in customer meetings. Growth Path Software Development Engineer (SDE) Senior SDE Lead SDE Principal SDE Architect/Technical Program Manager (TPM) Experience Required 3 to 10 years in software development. If you are looking for an opportunity to work on cutting-edge technologies in a dynamic and growth-oriented environment, apply now!
Lead Software Development Engineer In Test (sdet)
Afour Technologies
Lead SDET Opportunity at AFour Technologies (An ACL Digital Company) Location: Pune Employment Type: Full-time (FTE) Work Mode: Work from Office (WFO) / Hybrid AFour Technologies, a part of ACL Digital (an ALTEN Group company), is at the forefront of digital product innovation and engineering. We specialize in AI, Cloud, Mobile-ready solutions, and enterprise modernization, working with leading software product companies worldwide. With operations across India (Bangalore, Chennai, Pune, Panjim, Hyderabad, Noida, Ahmedabad) and the USA (California, Atlanta, Philadelphia, Washington), we offer a collaborative, multicultural, and growth-driven environment. At AFour Technologies, you ll work on high-impact projects, leveraging emerging technologies like CI/CD, Kubernetes, AWS/Azure/GCP, AI/ML, and SecOps. Must-Have Skills: Proficiency in Java, Python, or JavaScript programming Strong understanding of CI/CD pipelines and automation Hands-on experience with version control systems (GitHub/GitLab) Expertise in web automation frameworks using Selenium Experience in mobile automation using Perfecto or similar device labs Ability to develop and maintain API automation frameworks in at least one programming language Solid understanding of API authentication methods Hands-on experience with Postman for API testing Strong debugging and troubleshooting skills Basic knowledge of Salesforce Good to Have: Experience with Tricentis TOSCA for automation Familiarity with TOSCA server configurations and setup Your Role & Responsibilities Design, develop, and optimize scalable test automation scripts Understand and modify existing codebases as needed Manage Git version control within development environments Seamlessly integrate automation scripts into Jenkins CI/CD pipelines Develop Jenkins jobs and integrate them with other systems Work closely with project and infrastructure teams to ensure smooth execution Implement new automation techniques and industry best practices Identify, troubleshoot, and resolve automation-related issues proactively Take ownership of end-to-end test automation implementation Provide timely status updates and escalate issues when required Effectively collaborate with internal and external stakeholders Experience & Career Growth Experience Required: 7+ years in Software Development Engineer in Test (SDET) roles Career Progression Path: Lead SDET Principal SDET Work on cutting-edge automation projects with top-tier engineering teams Collaborate with global clients and industry leaders Upskill with the latest tools in test automation, CI/CD, and API frameworks Be part of a dynamic, growth-focused environment If you're a passionate Lead SDET looking to take your career to the next level, we d love to hear from you! Apply today and be part of our innovation-driven journey.
Sr. Python Developer
Afour Technologies
Job Position: Senior Software Development Engineer Python Company: AFour Technologies Pvt. Ltd. Location: Pune Employment Type: Full-time Company Overview AFour Technologies, established in 2007, specializes in Software Product Engineering Services, including: UI/UX Design Architecture Design & Consulting Software Development DevOps (CloudOps, SysOps, DBOps) QA (Test Strategy, Automation, Performance & Security) AFour is a technology powerhouse, working with cutting-edge technologies, such as: Programming Languages: Python, Java, C++, C#.NET, Kotlin, Go, Ruby, JavaScript (MEAN), LAMP Databases: SQL (Oracle, PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra, Neo4j, DynamoDB) Cloud Platforms: AWS, Azure, GCP, OpenStack Development Frameworks: React, Angular DevOps Tools: Kubernetes, Docker Swarm At AFour, you ll work on enterprise-scale applications, collaborate with product companies, and explore innovative solutions in microservices & serverless architectures. Technical Skills & Competencies Must Have: Strong experience with Python (2.x & 3.x) Expertise in designing REST APIs Hands-on database experience (SQL preferred) AWS services knowledge Experience with Linux distributions (Ubuntu, RedHat, CentOS, etc.) Knowledge of cloud-native solutions, microservices, & serverless frameworks Familiarity with version control (Git), test frameworks, code review tools, deployment automation (CI/CD) Key Responsibilities Write well-structured, efficient, and clean Python code backed by unit tests Develop and maintain RESTful APIs Follow best coding practices and security guidelines Design and build high-performance and scalable solutions Perform unit testing for all developed code Build CI/CD pipelines using Jenkins Work effectively in an Agile/Scrum environment Maintain high-quality work standards and encourage team best practices Stay updated with new tools, technologies, and development processes Communicate effectively with internal and external stakeholders Experience Required 4 8 years of Python development experience Growth Path Senior Software Engineer Lead Software Engineer Principal Engineer If you're a Python expert with a passion for API development, cloud technologies, and scalable solutions, join us at AFour Technologies and take your career to the next level!
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