141337 Automation Jobs - Page 3

Subject matter expert in at least one of the tools/techologies used in the space Participates in or leads initiatives to analyze infrastructure problems to be solved with advanced design Utilizes standard procedures and policies when selecting methods, techniques, and evaluation criteria for obtaining results Participates in or leads initiatives to analyze infrastructure problems to be solved with advanced design Utilizes standard procedures and policies when selecting methods, techniques, and evaluation criteria for obtaining results Manages the processes for ensuring that all systems / applications / software / hardware are compliant with Corporate policy/procedures Monitors project plans and budgets Contributes to developing and monitoring the organizations technology architecture and future technology vision Develops reports in conjunction with the Fellow Architect which demonstrate business opportunities and road map strategies that add business value Drafts proposals on infrastructure architecture needs for M&A activity, and supports the creation of executive summaries This person is a subject matter expert in at least one of the tools/techologies used in the space Consults and advises application development groups on solution architecture design monitoring implmentation; recommending solutions based on BNYM and industry best practices Acts as the lead for major incident resolution Drives strategy to increase automation across the organization Contributes to the achievement of team objectivesBachelors degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred8-10 years of related experience required; experience in the securities or financial services industry is a plus

Manage and maintain multiple OpenShift clusters in production environments. Perform routine cluster health checks, upgrades, and patching. Ensure high availability, scalability, and performance of OpenShift environments. Design, develop, and maintain Helm charts for application deployment. Collaborate with development teams to standardize deployment practices. Lead and execute migration projects from VMware to OpenShift. Integrate OpenShift clusters with ITSM platforms for asset, change, and incident management. Implement and maintain monitoring solutions to ensure visibility into cluster performance and health. Work with observability tools to provide actionable insights and alerts. Handle change management processes including planning, testing, and deployment. Document OpenShift environments, configurations, and operational procedures. Diagnose and resolve complex issues within OpenShift clusters. Modify scripts and configurations to address performance or reliability concerns. Qualifications 5-7 years of experience working with Red Hat and OpenShift technologies. Proven experience in Helm chart development and Kubernetes administration. Strong understanding of VMware infrastructure and migration strategies. Experience with ITSM platforms (e.g., ServiceNow) for integration and automation. Proficiency in scripting languages (e.g., Bash, Python) for automation and debugging. Familiarity with monitoring tools such as Prometheus, Grafana, or similar. Excellent documentation and communication skills. At least one Red Hat certification (e.g., Red Hat Certified OpenShift Administrator, RHCE). Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible) preferred.

Design: Analog /digital circuit design, Component selection, Schematics, Layout, Componentprocurement, assembly etc. Firmware development: firmware development /test software s for Board bring up. Testing: Board level testing, peripheral and functional testing, production testing. Documentation: design documents, test procedures. Production Support: diagnosing and resolving complex production/field issues. Perform rootcause analysis and implement effective solutions. What we look for in a candidate: Bachelors degree in E&C or Diploma in electronics. 1-2 years experience with Flair for electronic designs. Very good knowledge on complete embedded system development lifecycle. Analog/digital Circuit design, schematics, Layout, board bring-up. Fair knowledge on Microcontroller/Microprocessor based designs and its peripherals Must have strong knowledge on embedded software development tools. Fair knowledge on Interfaces like UART, I2C, SPI, RS232, USB Fair knowledge on Power supply Basics. Strong analytical and problem-solving skills, good in debugging and resolving productionsystem issues. Excellent communication and interpersonal skills. Senior Software Engineer / Technology lead - Backend (.NET/SQL) Experience: 5 10 yrs Location: Mangaluru, Karnataka, India Work Mode: Work from office Work Timings: 9.30AM IST 6.30PM IST About the role: We are seeking an experienced and motivated Backend Tech Lead to join our dynamic engineering team. In this critical role, you will lead a small team of backend engineers, drive the development of new enhancements for our core platforms, and ensure the stability and understanding of our existing systems. You will be hands-on, leveraging your deep expertise in .NET and T-SQL to build robust solutions, troubleshoot complex issues, and mentor your team. This is a fantastic opportunity for a technical leader passionate about backend development within the exciting domains of FEC, F&B, and Parks automation. You will be responsible for: Lead and Mentor: Guide, manage, and mentor a backend engineering team of approximately 4 members, fostering a collaborative and high-performing environment. Backend Development: Architect, design, develop, test, and deploy scalable and maintainable backend services, APIs, and database solutions using .NET (C#) and T-SQL. Enhancement Ownership: Take ownership of technical design and implementation for new features and enhancements requested for our POS and web platforms. Legacy System Expertise: Dive into existing codebases (.NET and T-SQL) to thoroughly understand current system functionality, data flows, and business logic, becoming a subject matter expert. Production Support: Act as a key escalation point for diagnosing and resolving complex production issues related to the backend systems. Perform root cause analysis and implement effective solutions. Technical Guidance: Provide technical direction, conduct code reviews, establish and enforce coding standards and best practices within the team. System Knowledge & Communication: Clearly articulate how backend systems work and answer technical questions from team members and other stakeholders. Collaboration: Work closely with front-end developers, QA testers, product managers, and potentially clients to deliver integrated solutions What we look for in a candidate Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Minimum of 5+ years of professional experience in backend software development, with a strong focus on systems using .NET Framework / .NET Core (C#). Proven, significant experience in backend software development using the .NET framework / .NET Core (C#, ASP.NET Web API, Entity Framework). Expert-level proficiency in T-SQL, including writing and optimizing complex queries, stored procedures, functions, and understanding database design principles (preferably with MS SQL Server). Demonstrated ability to read, understand, and analyze complex legacy code to determine functionality and troubleshoot issues effectively. Strong analytical and problem-solving skills, with experience in debugging and resolving production system issues. Experience in leading technical initiatives or mentoring junior engineers. Formal team lead experience is a strong plus, if for Lead level role. Solid understanding of software development lifecycle (SDLC), APIs, and backend architecture patterns.

5 to 8 years of hands-on experience in ServiceNow development. Act as a Software Engineer in an agile team, leading ServiceNow activities focused on improvement, optimization, and automation. Design, code, configure, unit test, maintain, and document software deliverables using agreed-upon standards and tools. Proficiency in ServiceNow Client-side and Server-side scripting, REST APIs, Flow Designers, and Service Portal customization. Write clean, efficient, and maintainable code to meet project objectives. Integrate external systems with ServiceNow using solutions such as ODBC, REST, SOAP, LDAP, SSL, and KAFKA. Advanced knowledge of JavaScript programming. Experience in various ServiceNow modules, with a proven record of successful implementation, configuration, updates, and troubleshooting. Stay current with emerging trends and technologies in ServiceNow development. Good to Have / Preferred: Experience in one or more of the following ServiceNow modules is preferred: TPRM, BCM, ESG, SIR, VR, ITAM, SAM, or HAM. Certifications: Certified System Administrator (CSA) - Mandatory Certified Application Developer(CAD) Preferred

Part of a team (BA/PO, Developers, SDETs etc) that develops enterprise software applications. Understand the business requirements and design, development/coding aspects. Participate in the complete development life cycle. Setup, Maintain and Operate test automation frameworks. Performing test automation on multiple application platforms Web, Mobile etc Create and Manage test repository (scenarios, cases, steps, priorities, categories etc), test metrics. Manage/Involve with CI/CD specific activities. Own and be accountable for the Quality, Reliability of the respective product deliverables. Strive for self-excellence along with enabling success of the team/stakeholders. 2 to 6 years of experience with enterprise software product development lifecycle/phases. Object oriented design and coding skills in any of the programming languages C#, Python, Javascript. Skilled in UI and API testing. Experience of building and implementing automation frameworks Preferably Robo/Python based Exposure to Agile, DevSecOps methodologies Ability to review the code, write unit tests, approach the test outcome with a programmer s mindset. Good understanding of distributed systems architecture, component layers, algorithms etc. Knowledge of Performance and Security testing tools/frameworks Requirements: 2 to 6 years of experience with enterprise software product development lifecycle/phases. Object oriented design and coding skills in any of the programming languages Python, Javascript. Experience of building and implementing UI and API automation frameworks Exposure to Agile, DevSecOps methodologies Ability to review the code, write tests, approach the test outcome with a programmer s mindset. Good understanding of distributed systems architecture, component layers, algorithms etc. Knowledge of Performance and Security testing tools/frameworks Experience/knowledge in pharma regulatory, quality, risk, process validation is preferable.

Key Responsibilities: 1. AI Strategy Development Leadership Define and implement a roadmap for AI adoption in clinical, patient, and back-office functions. Identify high-impact use cases aligned with organizational goals such as embryo selection, treatment prediction, patient follow-up automation, and inventory management. Evaluate and deploy AI tools or build custom models with internal or external data science partners. 2. Clinical AI Applications Collaborate with embryologists and clinicians to integrate AI into embryo grading, cycle prediction, imaging, and outcome forecasting. Lead trials or pilots of AI models that improve treatment precision and success rates. Ensure medical accuracy, ethical AI use, and patient data protection in all implementations. 3. Operational AI Process Automation Introduce AI-driven solutions for: Demand forecasting CRM and patient communication automation Chatbots for pre-consultation and FAQs Staff workload optimization 4. Data Governance Infrastructure Work with IT and Data teams to improve data quality, integration, and accessibility across departments. Ensure adherence to HIPAA-like standards and ethical AI usage. Build or supervise a centralized data warehouse or AI-ready ecosystem. 5. Vendor and Ecosystem Collaboration Identify, evaluate, and manage partnerships with AI tech companies, academic institutions, and healthcare startups. Represent GarbhaGudi at AI in Healthcare forums, summits, and collaborations. Candidate Profile: Qualifications: Master s or PhD in Artificial Intelligence, Data Science, Computer Science, Biomedical Engineering, or related field. Additional certification or exposure to healthcare informatics or medical data is highly preferred. Experience: 7 10 years in AI development or AI strategy, with at least 2 years in healthcare or life sciences. Demonstrated success in deploying AI models from pilot to production in a regulated environment. Experience with medical imaging, NLP, predictive analytics, or patient behavior modeling is a plus. Technical Skills: Familiarity with Python, TensorFlow, PyTorch, and cloud AI platforms (AWS, GCP, Azure). Strong understanding of data science lifecycle, model validation, and ML Ops. Ability to translate clinical requirements into technical AI solutions. Soft Skills: Visionary thinker with hands-on execution capability. Strong communication skills to align cross-functional stakeholders. High integrity, discretion, and empathy in handling patient-centric innovation.

Implement the financial close process in accordance with agreed period close schedules Ensure accounting policies followed are in compliance with local GAAP and applicable financial standards (TGAP) and controls framework Understand technical financial reporting concepts and the approach to producing and interpreting financial statement Accountable for period end close process for area assigned including the investigation, resolution of issues and sign-off of close process Accountable for internal and external audit plans for areas and clarify / resolve issues raised Spear head the meetings with partners / Finance Technology/ Business team involving critical issues and key business changes Knowledge and application of the our leadership framework, Developing & leading a hard-working team, through practice of IGPED Mobilise resources to achieve results across Processes by setting clear, stretched goals Accountable to deliver against the Service management SLA/Key performance Indicators Following our Business Code of Conduct and always acting with integrity and due diligence Adapting new technology and supporting Digitalisation /Automation for their process Playing key role in supporting Finance Strategy Projects

Research and develop creative solutions across a wide range of cutting-edge technologies to continuously evolve our platform, GreyMatter. Create REST API s and integrations between various products to improve and automate our customer s threat detection. Manage the continuous integration and deployment processes of complex technologies. Perform code reviews to ensure consistent improvement. Proactively automate and improve all stages of the software development lifecycle. Interface closely with various parts of the business, both internally and externally, to ensure all users are leveraging the product with ease and to its full potential. Provide support to other team members as well as cultivate a culture of constant collaboration. Do you have what it takes 2-4 Years of Software Development experience in the following languages and/or technologies: Python, JS, React, Angular, Java, C#, MySQL, Elastic Search or equivalent. Must be proficient in the English language, both written and verbal What makes you uncommon Hands on experience with one or more of the following technologies (Elasticsearch, Kafka, Apache Spark, Logstash, Hadoop/hive, Tensorflow, Kibana, Athena/Presto/BigTable, Angular, React). Experience with cloud platforms such as AWS, GCP, or Azure. Solid understanding of unit testing, continuous integration and deployment practices. Experience with Agile Methodology. Higher education/relevant certifications.

Research and develop creative solutions across a wide range of cutting-edge technologies to continuously evolve our platform, GreyMatter. Create REST API s and integrations between various products to improve and automate our customer s threat detection. Manage the continuous integration and deployment processes of complex technologies. Perform code reviews to ensure consistent improvement. Proactively automate and improve all stages of the software development lifecycle. Interface closely with various parts of the business, both internally and externally, to ensure all users are leveraging the product with ease and to its full potential. Provide support to other team members as well as cultivate a culture of constant collaboration. Do you have what it takes 2-4 Years of Software Development experience in the following languages and/or technologies: Python, JS, React, Angular, Java, C#, MySQL, Elastic Search or equivalent. Must be proficient in the English language, both written and verbal What makes you uncommon Hands on experience with one or more of the following technologies (Elasticsearch, Kafka, Apache Spark, Logstash, Hadoop/hive, Tensorflow, Kibana, Athena/Presto/BigTable, Angular, React). Experience with cloud platforms such as AWS, GCP, or Azure. Solid understanding of unit testing, continuous integration and deployment practices. Experience with Agile Methodology. Higher education/relevant certifications.

We are seeking for a 7-10 years experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications. Technical Requirements: Strong proficiency in Python for data processing and automation. Handson experience with generative AI models and their integration into data workflows. Handson experience with prompt engineering and LLM models (Opensource and Closesource) Handson experience with Application development framework like LangChain, LangGraph etc. Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango. Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus. Familiarity with containerization and orchestration tools (Docker, Kubernetes). As a Data Analysis & Simulation Professional, the person will be responsible for: Data Pipeline Development: Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources. Generative AI Integration: Collaborate with data scientists to integrate generative AI models into the log analysis workflow. Develop APIs and services to deploy AI models for real-time log analysis and insights generation. Data Monitoring and Maintenance: Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines. Troubleshoot and resolve issues related to data ingestion, processing, and storage. Collaboration and Documentation: Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs. Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing. Evaluation and Testing: Conduct thorough testing and validation of generative models. Research and Innovation: Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities. Experiment with different architectures and approaches. Snowflake Utilization: (Good to have) Design and optimize data storage and retrieval strategies using Snowflake. Implement data modeling, partitioning, and indexing strategies to enhance query performance.

We are seeking a skilled DevOps Engineer with practical experience in cloud infrastructure, automation, and CI/CD processes. The ideal candidate will be proficient in AWS , Terraform , Kubernetes , and Ansible , and have a strong history of building secure, scalable infrastructure across varied environments. This role blends elements of Quality Engineering , DevOps , and Cloud Engineering , with a focus on designing robust cloud-native architectures, enhancing automation, and optimizing system performance. Skills: 6+ years of experience in cloud and DevOps engineering roles. Strong expertise in AWS services (EC2, Lambda, S3, CloudTrail, CloudWatch, EventBridge, SNS, SQS). Experience with Terraform , CloudFormation , Ansible , Python scripting , and GitOps workflows . Hands-on experience with Kubernetes (EKS), Helm , and containerization best practices. Knowledge of CI/CD pipelines , source control (Git), and configuration management. Familiarity with SQL/NoSQL databases , Linux/Windows environments , and network security practices. Strong troubleshooting, analytical, and communication skills.

We are seeking for a 4 7-year experience AI engineer with a strong background in machine learning, programming skills, and a deep understanding of generative models. The position is responsible for turning research into practical solutions that address real-world problems while ensuring the reliability and ethical use of generative AI in their applications. Technical Requirements: Strong proficiency in Python for data processing and automation. Handson experience with generative AI models and their integration into data workflows. Handson experience with prompt engineering and LLM models (Opensource and Closesource) Handson experience with Application development framework like LangChain, LangGraph etc. Familiarity working with REST frameworks like Fast API, Angular, Flask and DJango. Experience with cloud platforms (AWS, GCP, Azure) and related services is a plus. Familiarity with containerization and orchestration tools (Docker, Kubernetes). As a Data Analysis & Simulation Professional, the person will be responsible for: Data Pipeline Development: Design and implement scalable data pipelines using Python to ingest, process, and transform log data from various sources. Generative AI Integration: Collaborate with data scientists to integrate generative AI models into the log analysis workflow. Develop APIs and services to deploy AI models for real-time log analysis and insights generation. Data Monitoring and Maintenance: Set up monitoring and alerting systems to ensure the reliability and performance of data pipelines. Troubleshoot and resolve issues related to data ingestion, processing, and storage. Collaboration and Documentation: Work closely with cross-functional teams to understand requirements and deliver solutions that meet business needs. Document data pipeline architecture, processes, and best practices for future reference and knowledge sharing. Evaluation and Testing: Conduct thorough testing and validation of generative models. Research and Innovation: Stay updated with the latest advancements in generative AI and explore innovative techniques to enhance model capabilities. Experiment with different architectures and approaches. Snowflake Utilization: (Good to have) Design and optimize data storage and retrieval strategies using Snowflake. Implement data modeling, partitioning, and indexing strategies to enhance query performance.

Perform registration dossier for all the Life Science Products in all countries (except USA) Write the technical documentation for new product development Maintain the adequacy with the regulation for technical documentation Product lifecycle management: Support product design changes, labeling updates, sustainment, and improvement activities from regulatory perspective. Assess regulatory impact, develop detailed action plan to drive regulatory compliance and ensure on time completion of identified actions. The essential requirements of the job include: A Bachelor s degree in areas of life sciences or engineering field with a minimum of 12-15 years experience in a regulated medical device/diagnostic industry (less years required with advanced degree). Professional designations are not required but training and certificates in quality or regulatory affairs would be a plus (e.g. CQM, CQE, CQA, RAC, CLIA, Six Sigma, Lean) Experience in supporting filing of pre-market regulatory submissions domestically (Q-Subs, 510ks) and internationally (IVDR; China; ROW Global Registrations). Knowledge of domestic and international quality systems and other standards such as FDA QSR, IVDD/IVDR, INVIMA, ANMAT, ANVISA, COFEPRIS, ISO 13485, ISO 9001 and other applicable standards and regulations. Knowledge of design control process requirements and requirements for technical documentation for in vitro diagnostics and or medical devices. Experience with Software as a Medical Device (SAMD) and Software as an accessory to a device highly desirable. Required Competencies: Critical thinker able to address complex situations and issues. Manages changing conditions, processes, and approaches; leads organizations through change effectively. Ability to adopt a systemic view of process improvement and to advise process improvement teams to reach goals. Organized and thorough with a high level of initiative, self-motivation and energy. Quick adaptability to embrace company culture and flexibility to manage multiple projects at the same time. Ability to participate in meetings outside of regular business hours to support global business.

Technical Proficiency & Cognitive skills: - Experience as a Site Reliability Engineer with hands-on knowledge of Site Reliability Engineering (SRE) practices & Principles, including implementing and managing SLOs, error budgets, observability, incident response, and automation in high-availability environments. - Proven track record in configuring and supporting F5 infrastructure, including advanced ADC configurations such as TLS termination and caching. In-depth knowledge and practical experience with Cloudflares DDoS protection and Web Application Firewall (WAF) capabilities. - Strong understanding and hands-on experience in setting up and managing PKI systems, including CloudHSM-backed PKI lifecycle management. - Experience in supporting middleware environments for various platforms such as JAVA, .NET, NodeJS, and Angular. - Solid understanding of database concepts and their application in modern infrastructure. - Proficiency in modern DevOps practices, including continuous integration and continuous deployment (CI/CD) processes. - Experience with infrastructure as code using tools like Terraform and Ansible for automating secure deployments. - Strong knowledge of Azure Active Directory (AD) for authentication and authorization. - Expertise in configuring and managing load balancers (F5, NGINX, ALB, App GW) and monitoring tools such as Splunk. - Experience with AWS services including EC2, VPC, CloudFront, S3, Route53, RDS, Lambda, and more. - Experience with Azure services such as Virtual Machines, Storage, App Service, Azure Functions, Azure SQL, PostgreSQL, AKS, and more. - Client Understanding and Advising : Advocates for client needs and perspectives. - Learning Orientation : Keeps up with new SRE, cloud, middleware, Application Delivery Controller and automation trends. - Foundation Architecture Knowledge : Supports standards for hybrid cloud and on-prem Load balancing and PKI Infrastructure. - Strategic Technology Planning : Contributes to technological roadmaps, especially for SRE and cloud (Platform as a product) Modernize and Innovate Deliver Results for Clients - Decision Making: Makes informed decisions, especially in incident response. Roles & Responsibilities: Independent contributor IT professional providing advanced expertise to ensure the effective performance of one or more elements of the organization s technical infrastructure. Maintain and modernize the existing load balancing environment, ensuring high availability and optimal performance. Support the bank s Enterprise load balancer infrastructure and its associate modules (F5 , Cloudflare , Cloud Native Load Balancing Services) Setup and configure Cloudflare services, including DNS, CDN and security features like DDoS and WAF. Implement and maintain WAF rules and page rules. Monitor website performance and security using Cloudflare analytics and logs. Optimize caching strategies and content delivery to improve load times and user experience. Oversee the lifecycle management of SSL certificates for both external and internal CA signing authorities. Manage the internal PKI authority and associated private key management through CloudHSM, seeking opportunities to modernize the PKI infrastructure. Look at enhancements and opportunities for modernizing the PKI Infrastructure Develop new and support existing applications that support services provided by the Platform Engineering team. Plan, Install, maintain, configure Azure and AWS services including but not limited to ALB, App GW, App Proxy Automate repetitive manual tasks and make it available as a self-service catalog item. Build tools to reduce occurrences of errors and improve customer experience Review work done by junior team members and provide technical support and mentorship Embrace Site Reliability Engineering (SRE) practices to enhance resilience and operational efficiency. A good knowledge on Cloud Technologies is essential for this role to help support the cloud migration road map. Follow best practices by enforcing standards across various technologies. When provided with an objective to improve performance in their area(s) of technology, develops and implements action plans needed to effect the change. Provides technical support and mentorship to team members. Support in adopting cloud native middleware services. - Bachelor s or Master s degree with at least 5 years of relevant experience. - Experience in adopting Site Reliability Engineering practices to work. Having an SRE certification is a mandatory requirement - Experience working in Agile environments and a SAFE Agile certification is mandatory - Strong experience configuring and supporting Load Balancing and PKI Infrastructure - Good understanding of the multiple middleware technologies and custom COTS product hosting s - Experience with Azure DevOps (as both developer and administrator). - Solid knowledge of modern DevOps practices, including CI/CD, git, Docker. - Experience with Infrastructure as Code tools (Terraform, Chef, etc.). - Demonstrated experience working in Agile environments - Hands-on experience with AWS and Azure cloud services. Having cloud certification in Azure/AWS is an added advantage

We are looking for someone who is truly passionate about coding. Strong experience with JavaScript and Node.js is a must, but if there are any really talented developers out there looking to try something new, we would love to hear from you too! All candidates applying should have: 5-7 years of experience in a relevant field Solid foundation in computer science with strong competency in Data structures Design principles Algorithms Software design Proficiency in the following applications is required Node JS Python MongoDB Amazon AWS Apache Kafka Required Skills All candidates applying must have the following characteristics: Exceptional problem solver able to design sound (and simple whenever possible) solutions to complex problems, including the ability to work from scratch Fast learner ability to step in and develop working knowledge of a technology in a less than average amount of time Self-starter motivation, work ethic and ambition to distinguish one s self are key Genuine Interest in Technology desire to be on the cutting edge of cloud-based technologies. Enjoy the start-up atmosphere and are flexible with shifting priorities. Think big and bring new ideas to the table regardless of rank or title. Bring ambition, a proactive mindset and the ability to inspire others. Strive for results always. Learn quickly. Must know when to listen, and when to take charge.

Reporting to the Test Manager, the Senior Software Engineer in Test works with a team of Test Engineers within the Quality Assurance Team on all stages of the software development lifecycle. He / She will need to work closely with cross functional teams including Product and Project Managers, Development and Business Stakeholders to deliver high quality products and services to our clients. Responsibilities: Functional / Manual Testing: Candidate will be responsible for Manual / Functional Testing. Reviewing requirements, creating, executing and documenting tests cases Plan, design and document various test suites for the applications under consideration (including creating test data whenever required.) Implement, execute, support, and deliver accurate test results in a timely manner. QA environment management and operation deployments, monitoring, troubleshooting issues Provide technical support to other team members on projects. API Testing & Validation: Perform API sanity checks and validations using tools like Postman or equivalent. Also adapt to the in-house developed tools for API testing. Work with various API endpoints (XML, JSON, GraphQL) to ensure seamless data flow and integration. Coordination & Collaboration: Work with Product Management and Development teams to ensure products are being built based on the business specifications and requirements Collaborate with members of global teams involved in the projects. Review product release artifacts, take up deployments for QA environments & coordinate with Dev team when required. Also collaborate with Application Management teams for deployments in higher environments. Non-Functional Testing: Assist in test case writing for automation suite and execution of automated test suite using different tool & technologies like Java/Selenium, Cypress, etc. Execute and manage other forms of testing like Security Testing, Performance Testing and other non - functional test as per the project requirements. Mentorship and Team Leadership: Mentor & Lead team of QA Engineers (handling both Functional & Non-functional types of testing as mentioned above) through best practices and promote continuous improvement Serve as a technical point of contact for QA-related matters, providing support and assistance in troubleshooting issues in platform operation, including occasional out-of-hours support. Continuously improve testing operations by proactively predicting and addressing potential quality issues Qualifications: Bachelor s degree in computer science or related discipline required. Master s Degree preferred. 8-10 years of overall experience in Functional & Non-Functional testing required. Candidate with exposure to web application testing experience preferred. QA/software testing or development experience including hands on scripting (automation) or coding experience in any programming language. Java or an OOPL preferred. Experience in using a Defect Tracking system. JIRA experiences preferable Proficiency in at least one programming or scripting language (Preferably Java) Experience in interacting with RDBMS required. Experience with SQL in MS SQL Server environment a plus. Experience with Linux OS preferred Strong analytical & problem-solving skills Ability to work independently and as part of a team. Strong verbal and written communication skills. Prior experience working as part of a global development organization is a plus. Candidate should possess Entrepreneurial mindset and should have CAN DO attitude Preferably based in Mumbai or willing to relocate to Mumbai

Manage and maintain multiple OpenShift clusters in production environments. Perform routine cluster health checks, upgrades, and patching. Ensure high availability, scalability, and performance of OpenShift environments. Design, develop, and maintain Helm charts for application deployment. Collaborate with development teams to standardize deployment practices. Lead and execute migration projects from VMware to OpenShift. Integrate OpenShift clusters with ITSM platforms for asset, change, and incident management. Implement and maintain monitoring solutions to ensure visibility into cluster performance and health. Work with observability tools to provide actionable insights and alerts. Handle change management processes including planning, testing, and deployment. Document OpenShift environments, configurations, and operational procedures. Diagnose and resolve complex issues within OpenShift clusters. Modify scripts and configurations to address performance or reliability concerns. Qualifications 5-7 years of experience working with Red Hat and OpenShift technologies. Proven experience in Helm chart development and Kubernetes administration. Strong understanding of VMware infrastructure and migration strategies. Experience with ITSM platforms (e. g. , ServiceNow) for integration and automation. Proficiency in scripting languages (e. g. , Bash, Python) for automation and debugging. Familiarity with monitoring tools such as Prometheus, Grafana, or similar. Excellent documentation and communication skills. At least one Red Hat certification (e. g. , Red Hat Certified OpenShift Administrator, RHCE). Knowledge of infrastructure-as-code tools (e. g. , Terraform, Ansible) preferred.

Ph. D or master s degree in mechanical / aerospace from a reputed university. Industrial relevant experience in Aerospace components analysis (Preferably on Engines and related components) Good understanding of Gas Turbine Engine components and Design for Durability (Lifing) and Performance. Mean line 1D & 2D airfoil and Axial Turbine rotor disk Mechanical design. Good hands-on experience on Mechanical design and analysis, linear/non-linear FEA, Harmonic analysis and conjugate heat transfer analysis (CHT). Strong fundamentals in Solid Mechanics, Engineering Design and Materials, Fatigue, Crack growth, Finite Element Modeling theory. Problem simplification and performing closed form solution calculations of loads, deflection and stress Academic/Professional exposure in MATLAB / C / C++ / Python / FORTRAN / Ansys ACT or equivalent programming languages for Stress/heat transfer/similar analysis would be preferred. Should possess Interest towards development of Engineering tools and script generation for pre/post and solver automation. Expert in using muti-objective Parametric study using optiSlang/HEEDS/iSight. Proven ability in bringing new design concepts Experience in working with geographically distributed stake holders. Innovate on new technology insertions into the products, continuously look at embracing the changing market trends. Should be good at multi-tasking. Should be a team player with good interpersonal & networking skills. Strong communication & presentation skills. Desired Skills: Expert level expertise in finite element modeling analysis using ANSYS workbench, ANSYS APDL (Classic), HYPER Mesh and NASTRAN. Hands on experience on CAD tool-NX & SpaceClaim. Programming/coding skills in Python or any other coding platform. Strong oral and written communication skills with employees at all levels.

We are seeking a highly motivated and talented Intern with Embedded systems including electronic & electrical circuits. The intern will have the opportunity to work on real-world projects, gaining hands-on experience in Firmware development and contributing to the success of our organization. This is a unique opportunity for a student or recent graduate to apply skills in a professional setting and to learn from experienced hardware developers. Key Responsibilities: Collaborate with the development team to design, implement and develop circuits. Debug and troubleshoot printed circuit assembly (PCA) issues, providing timely and accurate resolutions. Able to write test cases from Stories/Requirements Work with cross-functional teams to integrate electronic & electrical hardware setups and ensure seamless functionality. Knowledge on analog, digital, mixed mode signals & power supplies Assist in the optimization of existing hardware for improved performance Qualifications: Currently pursuing\complete a degree in Electronics and Communication Engineering Sound knowledge on analog, digital, mixed signals Knowledge on logic gate circuits, electronic components, power circuits, electronic measurement instruments, Knowledge on schematic, cables and printed circuits etc. Able to use multiple software utilities and automation tools etc. Basic understanding of data structures and algorithms. Excellent problem-solving and analytical skills. Ability to work collaboratively in a team environment. Effective communication skills, both verbal and written. Eagerness to learn and adapt to new technologies. Preferred Skills: Experience with hardware development in a professional or academic setting. Academic hands-on with multiple projects/applications. Knowledge of additional programming languages (e.g., Python, C++). Familiarity with hardware testing methodologies

Responsible for the detailed technical clarification (technology selection, design testing etc.) on requested equipment, including to take on responsibility and ownership for the proposed equipment during project Technical elaboration and vendor management of detail design (including functional specification as a base for the process coding, defining and creation of hardware equipment (Siemens/Rockwell/Schneider Automation), instrumentation list, and cable lists etc.). Respect current good engineering practice and industrial standards applicable for the project and work in accordance with our established quality management system. Willingness for international and national travel to to support sites commissioning, E&C activities at customers and local vendors. Qualifications & Experience: B.E/B.Tech (Electrical or Mechanical or EEE or CS) with 8-10 yrs of experience. Proven experience of automation & controls engineering of equipment used in process industry for example beer production, wine or water industry Skills in HMI and PLC Programming on Siemens & AB Rockwell platforms, WinCC, Tia Portal, Simatic ManagerKnowledge and understanding of the current industry guidelines for designing, manufacturing, testing and documenting food and beverage process equipment. Ability to handle Engineering changes that may come up during the course of the project including all related information and communication / agreements / cost/time impacts. Knowledge and understanding of the current industry guidelines for designing, manufacturing, testing and documenting food and beverage process equipment. 50% Willingness for international and national travel to to support sites commissioning, E&C activities at customers and local vendors. This could be up to 50% out of the office workload! 20 % Responsible for the detailed technical clarification (technology selection, design testing etc.) on requested equipment, including to take on responsibility and ownership for the proposed equipment during project 20 %Technical elaboration and vendor management of detail design (including functional specification as a base for the process coding, defining and creation of hardware equipment (Siemens/Rockwell/Schneider Automation), instrumentation list, and cable lists etc.). 10 % Respect current good engineering practice and industrial standards applicable for the project and work in accordance with our established quality management system.

We are looking for an experienced and detail-oriented Senior Associate Operations to join our team The ideal candidate will have strong analytical and organizational skills, with the ability to manage projects, work under pressure, and contribute to team growth This role involves working closely with stakeholders to ensure smooth operations, implementing best practices, and leveraging automation to enhance efficiency The Senior Associate Operations will take a leadership role in managing deliverables, driving internal projects, and developing frameworks that contribute to the overall success of the organization

We are looking for a highly skilled AI Productivity Engineer to lead the development and integration of AI-driven solutions, driving automation and efficiency across multiple business functions. In this role, you will play a crucial part in building scalable tools and workflows, optimizing internal processes, and fostering continuous productivity improvements. Your expertise will directly contribute to accelerating our GTM strategy, enhancing operational scalability, and shaping the future of AI adoption within our company. Key Responsibilities : 1) AI Powered Automation Operational Scaling Lead the development and integration of cost effective AI systems, leveraging LLMs and AI agents to optimize business operations, automate workflows, and improve customer support processes. Implement AI-based self serve tools to reduce operational dependencies. Collaborate with product and engineering teams to integrate AI driven automation into products, customer support, and internal operations. Identify and implement AI tools to enhance team productivity, GTM strategies, and business scalability. 2) AI Systems Architecture Development Set up evaluation frameworks for AI systems drive experimentations to optimize performance Lead the development and integration of AI agents for business automation (e.g., customer support, operations, GTM workflows). Rapidly prototype with AI tools iterating from proof-of-concept (POC) to full-scale production deployment, aim to minimize software development costs and maximize ROI 3) Technical Leadership Strategy Assist in developing AI roadmaps and strategies to drive innovation and long term efficiency. Ensure AI solutions align with business objectives, compliance standards, and scalability needs. Establish best practices for AI governance and continuously drive learning within the team. Preferred Qualifications : Experience in natural language processing (NLP) and conversational AI development. Familiarity with cloud platforms AWS / GCP / Azure. Strong problem-solving and analytical skills with a focus on performance optimization. Excellent communication skills to collaborate with cross-functional teams effectively. Experience with machine learning frameworks and tools B.S. or M.S. in Computer Science or 6+ years in software development experience

As a Senior Software Engineer at Fulfil, youll design and build the next-generation systems that power millions of customer orders and financial transactions for some of the worlds fastest-growing merchants. Our Python-based platform handles massive scalethink millions of transactions per hourand your work will ensure its robust, scalable, and maintainable. Youll collaborate with a global team across the USA, Canada, and Bangalore, tackling sophisticated challenges in an environment that values clean code, innovative design, and collective problem-solving. What Youll Do Own the Full Stack: Take charge of our entire Python-based platformfrom front-end integrations to back-end systemsmaintaining and scaling a codebase of millions of lines that powers global commerce. Ship Features Fast: Drive the rapid design, development, and deployment of new features, delivering value to high-growth merchants at breakneck speed. Integrate AI: Build and embed AI-driven capabilities into our ERP, enhancing automation and intelligence for order management, financials, and beyond. Master Scale and Stability: Optimize REST and GraphQL APIs (600+ endpoints), microservices, and Kubernetes/Docker deployments to handle millions of transactions with zero downtime. Elevate Code Quality: Refactor legacy systems, write testable code with pytest, and collaborate on peer reviews to keep our stack robust and maintainable. Bridge Ecosystems: Integrate seamlessly with e-commerce platforms (Shopify, Amazon) and logistics partners (FedEx, DHL), ensuring our merchants operations hum. Solve at Scale: Tackle the real-world challenges of a B2B SaaS leaderthink complex business logic, reusable components, and global infrastructure management. What You Bring Experience building large-scale server-side applications and microservices with Python. Expertise with ORMs (e.g., SQLAlchemy, Django) and SQL databases (Postgres preferred). Proficiency in our stack: Python, Celery, Postgres, Redis, RabbitMQ. Hands-on experience with testing (pytest) and Git for version control. A track record of delivering scalable, maintainable code with a focus on ownershipleading projects from design to deployment. Bonus Points Experience scaling systems at a high-growth tech company. Familiarity with cloud platforms (Google Cloud, Heroku, etc.). Passion for optimizing distributed systems or e-commerce workflows.

Review requirements, specifications, and technical design documents Create detailed, comprehensive, and well-structured test plans and cases Design, develop, and execute automation scripts using tools like Selenium, Cypress, or Playwright Identify, record, document thoroughly, and track bugs Perform regression testing and ensure fixes are properly implemented Collaborate with developers and product teams to ensure quality throughout the SDLC Conduct performance and security testing when required Skills Proven experience in software QA and automation Hands-on experience with automation tools (Selenium, Cypress, etc.) Strong knowledge of software QA methodologies, tools, and processes Experience in writing clear, concise, and comprehensive test plans and cases Familiarity with Agile/Scrum development process Experience with RESTful API testing Good understanding of CI/CD and test integration pipelines Knowledge of performance or security testing is a plus Strong analytical and problem-solving skills

Lead and manage DevOps teams, fostering collaboration and ensuring smooth software delivery across environments. -Oversee cloud infrastructure on AWS (or similar IaaS), including Kubernetes clusters, containerized deployments, and infrastructure automation. -Drive implementation and optimization of CI/CD pipelines and tools like Jenkins, Terraform, Docker, and Kubernetes. -Ensure governance and compliance across software delivery using SDLC and Agile methodologies. -Collaborate with engineering leadership on strategic planning, execution, and policy development. -Manage project timelines, risk assessments, and resource allocation across multiple initiatives. -Facilitate seamless release management, working closely with QA, Dev, and Product teams to ensure production readiness. -Contribute to technology decisions that enhance security, performance, and scalability. -Promote a DevOps culture of continuous improvement, learning, and innovation. -Experience with AI workloads or managing infrastructure for ML/AI applications is a plus. Requirements - 712 years of overall experience in the IT industry. -Minimum 2+ years of experience managing cross-functional project teams in a Scrum/Agile environment. -Deep understanding of DevOps, project management principles, and enterprise-level delivery practices. -Proven experience in strategic planning, execution, and team capability development. -Prior work in a product-based company in a Delivery Manager or Release Manager role is highly preferred. -Strong knowledge of AWS or other IaaS platforms. -Hands-on experience or working knowledge of Kubernetes, Docker, Terraform, Jenkins, and JIRA Automation. -Expertise in CI/CD practices and modern software release workflows. -Excellent communication, leadership, and team-building skills. -Ability to operate in a high-performance, fast-paced environment.