594 Automation Engineering Jobs in Noida

As Vice President, Infrastructure Engineering at Fiserv, you will collaborate closely with CTO/portfolio leaders and CIO teams across various technologies such as cloud, observability platforms, container technologies, event streaming, messaging, middleware, and network/firewall operations and engineering. Your primary responsibility will be managing a significant portion of the global organization in Global Services, focusing on enhancing efficiency through automation, optimization, and modernizing service delivery. Your expertise in technical infrastructure and global leadership will play a vital role in overseeing operations and engineering functions. Additionally, you are expected to exhibit a commercial orientation, operational excellence, and a keen interest in emerging technologies and frameworks. - **Ownership of end-to-end product/portfolio operating model within FTS** - **Engage with key business stakeholders regularly to understand their needs and drive high stakeholder satisfaction** - **Serve as the single point of accountability and escalation to CIOs and the FTS organization for technology services** - **Ensure platform stability, risk reduction, and ongoing lifecycle hygiene through best practices adoption** - **Oversee the remediation of known risks and foster a culture of risk identification and reduction** - **Ensure compliance with Global Cybersecurity standards and procedures** - **Drive efficient technology outcomes by leveraging initiative management, new product adoption, automation, and lifecycle management** - **Partner with CIO teams to define and execute critical business objectives** - **Advocate for ownership and accountability for the technology change roadmap** - **Drive engineering and innovation culture and develop high-performing teams** - **Experience in building, improving, and sustaining ongoing operational support for infrastructure** - **Co-ownership in driving transformational improvements to product deployments** - **Ownership of level 2 and 3 support for all assigned infrastructure** - **Prioritization, coordination, and flawless implementation of business and technology projects** - **Management of high-performing and highly available infrastructure components** - **Collaboration with global technology functions to deliver technology standards across regions** - **Development and evaluation of technology plans, policies, and procedures to ensure alignment with company goals and standards** - **Management of third-party processors, hardware & software vendors, and external infrastructure providers** - **Leadership and team-building skills with a proven track record of successfully leading technical teams** - **Capability to quickly learn new technologies and familiarity with agile and DevOps cultures** The role at Fiserv is based in Pune and requires overlap with US working hours, with flexibility for critical activities outside business hours and weekends.,

Job Description You will be joining Felicity Strategic Advisors Pvt. Ltd. (FSAPL) as a Workflow Automation Engineer (n8n Specialist) based in New Delhi. Your main responsibilities will include Solution Architecture, Consulting, Software Development, Integration, and Business Process improvement to automate workflows and enhance business processes. Key Responsibilities - Designing Solution Architecture for workflow automation - Providing Consulting services for clients - Developing Software solutions for process automation - Integrating different systems to optimize workflows - Improving Business Processes to increase efficiency Qualifications - Possess skills in Solution Architecture and Software Development - Demonstrate expertise in Consulting and Integration - Have experience in enhancing Business Processes - Exhibit strong analytical and problem-solving abilities - Familiarity with workflow automation tools like n8n is advantageous - Hold a Bachelor's degree in Engineering, Computer Science, or a related field - Previous exposure to consulting or financial services industry is a bonus Job Description You will be joining Felicity Strategic Advisors Pvt. Ltd. (FSAPL) as a Workflow Automation Engineer (n8n Specialist) based in New Delhi. Your main responsibilities will include Solution Architecture, Consulting, Software Development, Integration, and Business Process improvement to automate workflows and enhance business processes. Key Responsibilities - Designing Solution Architecture for workflow automation - Providing Consulting services for clients - Developing Software solutions for process automation - Integrating different systems to optimize workflows - Improving Business Processes to increase efficiency Qualifications - Possess skills in Solution Architecture and Software Development - Demonstrate expertise in Consulting and Integration - Have experience in enhancing Business Processes - Exhibit strong analytical and problem-solving abilities - Familiarity with workflow automation tools like n8n is advantageous - Hold a Bachelor's degree in Engineering, Computer Science, or a related field - Previous exposure to consulting or financial services industry is a bonus

As a SCADA & Automation Engineer at our company, your primary responsibility will be to enhance monitoring and control of our solar PV assets through the integration, configuration, and maintenance of supervisory control systems. This will enable real-time performance tracking and remote management of solar plants. Key Responsibilities: - Install, configure, and troubleshoot SCADA hardware and software. - Develop dashboards for real-time monitoring of plant Key Performance Indicators (KPIs). - Implement automated alerts for performance deviations. - Coordinate with Operations & Maintenance (O&M) teams to analyze performance data and improve uptime. - Maintain cybersecurity protocols and backup systems for critical infrastructure. - Document configurations, network diagrams, and system changes. Required Qualifications: - Bachelors in Electrical, Electronics, or Instrumentation Engineering. - 2-4 years of experience in SCADA, preferably in renewable energy. - Familiarity with PLC programming, communication protocols (Modbus, DNP3). If you are passionate about renewable energy and have a strong background in SCADA systems, we invite you to apply for this exciting opportunity to contribute to the monitoring and control of solar PV assets. As a SCADA & Automation Engineer at our company, your primary responsibility will be to enhance monitoring and control of our solar PV assets through the integration, configuration, and maintenance of supervisory control systems. This will enable real-time performance tracking and remote management of solar plants. Key Responsibilities: - Install, configure, and troubleshoot SCADA hardware and software. - Develop dashboards for real-time monitoring of plant Key Performance Indicators (KPIs). - Implement automated alerts for performance deviations. - Coordinate with Operations & Maintenance (O&M) teams to analyze performance data and improve uptime. - Maintain cybersecurity protocols and backup systems for critical infrastructure. - Document configurations, network diagrams, and system changes. Required Qualifications: - Bachelors in Electrical, Electronics, or Instrumentation Engineering. - 2-4 years of experience in SCADA, preferably in renewable energy. - Familiarity with PLC programming, communication protocols (Modbus, DNP3). If you are passionate about renewable energy and have a strong background in SCADA systems, we invite you to apply for this exciting opportunity to contribute to the monitoring and control of solar PV assets.

As an Electronics Engineer at our company, your role will involve designing, developing, and maintaining electrical and electronic systems and components. You will be based full-time on-site in Faridabad. Some key responsibilities of this position include: - Troubleshooting and improving electronics systems - Ensuring compliance with safety standards - Collaborating with cross-functional teams to develop automation solutions - Conducting regular maintenance of equipment and systems to ensure efficient performance To excel in this role, you should have the following qualifications: - Proficiency in Electronic Engineering and Electronics design and development - Strong knowledge and experience in Electrical Engineering and understanding of electrical systems - Expertise in Maintenance and troubleshooting of electronic and electrical systems - Skills in Automation processes and technologies in industrial and electronics applications - Ability to work collaboratively in a team environment and deliver results within deadlines - Bachelor's degree in Electronics or Electrical Engineering, or a related field - Relevant certifications and prior experience in a similar role are an advantage,

Role Overview: You should have extensive experience in web automation using Java/Python, preferably Selenium. Additionally, you should be proficient in API testing using tools like Postman. Your familiarity with CI/CD tools such as Azure DevOps and GitHub will be beneficial. It is essential to have a strong understanding of Azure services like VMs, Storage, App Services, and Azure Functions. You should possess a strong knowledge of Agile test methodology and be familiar with test management tools like JIRA. Moreover, you will be responsible for conducting regression, integration, and performance testing for ETL jobs using Informatica. Experience with database testing, preferably SQL, for data validation and analysis is required. Excellent client-facing and communication skills are also essential for this role. Key Responsibilities: - Extensive experience in web automation using Java/Python, preferably Selenium - Proficient in API testing using tools like Postman - Familiarity with CI/CD tools such as Azure DevOps, GitHub - Strong understanding of Azure services: VMs, Storage, App Services, Azure Functions - Strong knowledge of Agile test methodology - Familiarity with test management tools like JIRA - Conduct regression, integration, and performance testing for ETL jobs using Informatica - Experience with database testing, preferably SQL, for data validation and analysis - Excellent client-facing and communication skills Qualifications Required: - Extensive experience in web automation using Java/Python, preferably Selenium - Proficient in API testing using tools like Postman - Familiarity with CI/CD tools such as Azure DevOps, GitHub - Strong understanding of Azure services: VMs, Storage, App Services, Azure Functions - Strong knowledge of Agile test methodology - Familiarity with test management tools like JIRA - Experience with database testing, preferably SQL, for data validation and analysis - Excellent client-facing and communication skills,

You will be responsible for: - Designing and implementing DFT IP with Verilog/SystemVerilog and/or VHDL - Designing and implementing RTL for DFT IP including POST, IST - Developing synthesis automation for DFT IP including synthesis and timing constraints, RTL insertion, and verification - Owning and maintaining, extending, and enhancing existing DFT IP like LBIST At Cadence, you will have the opportunity to work on impactful projects in the world of technology. Join us in solving challenges that others can't.,

As an Automation Supervisor - Maintenance in the OFFSHORE (FLNG-FPSO) industry, your main tasks and responsibilities will include: - Conducting detailed analysis of production processes, formulating plans and designs for automated control systems, and clarifying system requirements. - Selecting appropriate hardware and software platforms, controllers, and network architectures based on actual needs. - Developing control programs, designing and implementing configuration projects to ensure the realization of system functions. - Debugging and verifying automated control systems to ensure their normal operation. - Detecting and repairing system faults, analyzing the causes of faults, and proposing preventive measures. - Optimizing automated control systems according to actual production conditions to improve system stability and efficiency. - Being responsible for automation transformation and upgrading projects of production lines, including improvement and optimization of control systems. - Selecting appropriate automation equipment and control systems according to production needs. - Organizing and implementing automation transformation projects to ensure their smooth completion. - Providing technical support to solve technical problems in the production process and ensure the smooth progress of production. - Training production line technical workers to enable them to operate automation equipment and systems smoothly and efficiently. - Formulating technical schemes, engineering reports, and design documents to ensure the accurate transmission of technical information. - Establishing complete equipment management files, including technical data, spare parts lists, technical drawings, and fault records. - Applying new technologies and methods to practical projects to improve production efficiency and quality. - Being responsible for the budget of control projects, including costs of required technical and engineering equipment, personnel expenses, etc. - Allocating resources reasonably to ensure the smooth progress of projects and their completion within the budget. - Ensuring that all work complies with relevant regulations and standards to avoid risks caused by irregular operations. - Cooperating closely with the HSE department to ensure the safe and stable operation of automated control systems. You will play a crucial role in ensuring the efficiency, safety, and stability of automated control systems in the offshore industry.,

As a Data Product Engineering Specialist, your role is to design, build, and optimize strategic data assets that enable advanced analytics, reporting, and operational efficiencies. You will be at the intersection of data designs, product management, and business strategy, ensuring that data assets are structured, governed, and made accessible in a scalable and reusable manner. Key Responsibilities: - Design, build, and maintain scalable data products to support analytics, AI/ML, and operational business needs. - Develop high-quality data pipelines and reusable configurable frameworks for robust, efficient, and scalable data processing. - Implement data transformation and enrichment processes to make raw data useful for pricing, risk modeling, claims, and other business functions. - Ensure adherence to data modeling standards, reference data alignment, and data product governance frameworks. - Work closely with Product Managers, Designers, and Domain SMEs to embed best practices and standards. - Leverage cloud-based technologies and modern data platforms focusing on Azure data services and Databricks. - Ensure solutions align with data security, privacy, and governance policies. - Engage with platform teams to ensure efficient deployment and performance optimization of data solutions. - Develop automated test routines and conduct thorough testing to ensure quality deliverables. - Integrate solutions with data management tools such as Purview to automate data quality rules implementation, metadata management, and tagging. - Develop clean and precise documentation including low-level designs, release notes, and how-to guides. - Support Data product launch and adoption activities. - Keep up to date with new skills - Develop technology skills in other areas of Platform. - Stay updated on emerging data technologies and continuously enhance data products to improve efficiency and business value. - Optimize data processing performance and cost-efficiency by leveraging automation and modern engineering best practices. - Identify opportunities for AI/ML integration and automation within data pipelines and business processes. Qualifications Required: - Advanced understanding of building and deploying production-grade solutions in complex projects. - Strong experience in data engineering, data modeling, and pipeline development. - Proficiency in SQL, Python, Spark, Databricks, and cloud-based data engineering tools (Azure preferred, AWS, GCP). - Strong experience in software engineering practices and implementation. - Experience with big data processing, streaming architectures (Kafka, Event Hub), and real-time data solutions. - Understanding of data governance, metadata management, and data lineage frameworks. - Knowledge of CI/CD practices, DevOps, and Infrastructure as Code (IaC) for data solutions. - Knowledge of using advanced tools and techniques to identify and address data quality issues. - Strong stakeholder management, able to influence and drive alignment across cross-functional teams. - Excellent problem-solving and analytical skills with a product mindset. - Ability to work in agile environments, contributing to product roadmaps and iterative development cycles. As a Data Product Engineering Specialist, your role is to design, build, and optimize strategic data assets that enable advanced analytics, reporting, and operational efficiencies. You will be at the intersection of data designs, product management, and business strategy, ensuring that data assets are structured, governed, and made accessible in a scalable and reusable manner. Key Responsibilities: - Design, build, and maintain scalable data products to support analytics, AI/ML, and operational business needs. - Develop high-quality data pipelines and reusable configurable frameworks for robust, efficient, and scalable data processing. - Implement data transformation and enrichment processes to make raw data useful for pricing, risk modeling, claims, and other business functions. - Ensure adherence to data modeling standards, reference data alignment, and data product governance frameworks. - Work closely with Product Managers, Designers, and Domain SMEs to embed best practices and standards. - Leverage cloud-based technologies and modern data platforms focusing on Azure data services and Databricks. - Ensure solutions align with data security, privacy, and governance policies. - Engage with platform teams to ensure efficient deployment and performance optimization of data solutions. - Develop automated test routines and conduct thorough testing to ensure quality deliverables. - Integrate solutions with data management tools such as Purview to automate data quality rules implementation, metadata management, and tagging. - Develop clean and precise documentation including low-level designs, release notes, and how-to guides. - Support Data product launch and adoption activities. - Keep up to date with new skills - Develop technology skills in othe

As an AI/ML Engineering Lead at DataAlchemy.ai, you will play a crucial role in guiding the development and deployment of advanced agentic AI solutions for client-facing projects and internal product platforms. Your responsibilities will include: - Leading the design and implementation of advanced agentic AI architectures for enterprise clients and DataAlchemy.ai's core platforms, focusing on planning, memory, retrieval, and autonomous execution modules. - Architecting robust end-to-end AI pipelines for data collection, pre-processing, model development, fine-tuning, and deployment for both client solutions and internal products. - Collaborating with enterprise clients to understand requirements, define solution strategies, and provide technical leadership throughout project lifecycles. - Managing and mentoring a distributed engineering team (ML, data science, MLOps) to ensure high-quality delivery and innovation. - Ensuring technical quality, performance, and scalability for custom client implementations and DataAlchemy.ai's proprietary agentic platforms. - Staying updated with the latest advancements in LLMs, agent orchestration, retrieval-augmented generation, and adaptive reasoning systems to integrate promising techniques proactively. - Contributing to pre-sales activities, solution demos, proof-of-concept implementations, and technical documentation for stakeholders and users. - Driving code quality, automation, and owning CI/CD pipelines, infrastructure, code reviews, and reproducibility. Qualifications required for this role include: - A Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field. - 6+ years of hands-on experience in building and deploying AI/ML solutions in applied, consulting, or product environments. - Proven track record in delivering LLM-based systems, multi-agent architectures, and agentic AI applications using Python, PyTorch, TensorFlow, LangChain, or similar frameworks. - Experience in managing distributed engineering teams, including onboarding, mentoring, and agile execution. - Strong communication skills for client engagement, technical presentations, and cross-team collaboration. - Familiarity with retail, logistics, or enterprise analytics is a plus, along with a keen interest in building scalable automation platforms. At DataAlchemy.ai, you can expect: - Technical ownership of enterprise AI consulting projects and the evolution of core agentic platforms. - A flexible, remote-first work structure that allows you to collaborate globally on impactful solutions. - A fast-paced, outcome-driven culture with opportunities for professional growth. - Competitive compensation and outcome-based incentives.,

As a DevOps Engineer at TNS, you will play a crucial role in automating and streamlining operations and processes, building tools for deployment, monitoring, and troubleshooting issues across different environments. Your responsibilities will include: - Designing, implementing, and managing CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps. - Automating infrastructure provisioning with tools such as Terraform, Ansible, or CloudFormation. - Monitoring system performance to ensure reliability and scalability of cloud-based environments (AWS, Azure, GCP). - Collaborating with development and QA teams for seamless deployment and integration. - Managing containerization and orchestration using Docker and Kubernetes. - Implementing security best practices in both infrastructure and deployment processes. - Maintaining and enhancing observability tools like Prometheus, Grafana, and ELK stack. - Troubleshooting production issues and coordinating with development teams for resolutions. Qualifications required for this role include: - 6-8 years of experience in a relevant field. - Bachelor's degree in Computer Science, Engineering, or a related discipline. - Proven experience in DevOps, system administration, or software engineering. - Strong knowledge of Linux/Unix systems. - Hands-on experience with cloud platforms like AWS, Azure, and GCP. - Proficiency in scripting languages such as Python, Bash, etc. - Experience with version control systems like Git. - Familiarity with Agile and DevOps methodologies. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work independently and in a team-oriented environment. If you are passionate about technology, personal growth, and seeking opportunities, TNS welcomes you to be a part of their talented team driving success every day.,

As an Automation and Analytics Specialist, your role will involve developing automated processes and utilizing data analytics to enhance business operations. You will be responsible for collecting, analyzing, and visualizing data, as well as creating and maintaining automated workflows. Your strong analytical skills, programming experience, and knowledge of automation techniques will be essential for this position. Key Responsibilities: - Data Collection and Analysis: - Gather data from various sources such as databases and APIs. - Clean, transform, and prepare data for analysis. - Conduct exploratory data analysis (EDA) to discover patterns and insights. - Develop reports and visualizations to convey findings. - Automation Development: - Identify and implement process enhancements through automation. - Develop and manage automated business processes, including reporting and forecasting tools. - Utilize automation tools like Python scripting, RPA, or other suitable technologies. - Data Modeling and Analytics: - Build and test statistical models for data analysis and predictions. - Utilize techniques like AI, ML, Gen AI, and agentic AI to create relevant business solutions. - Establish and maintain data pipelines for efficient data processing. - Provide insights and recommendations based on data analysis. - Collaboration and Communication: - Collaborate with stakeholders to understand data requirements and offer technical solutions. - Communicate findings and recommendations to both technical and non-technical audiences. Qualifications Required: - Bachelor's degree in a relevant field (e.g., statistics, data science, computer science, engineering), or equivalent experience. - 5+ years of experience in delivering projects using automation, analytics, and data science techniques. - Proficiency in programming languages such as Python or SQL. - Strong analytical skills and familiarity with data analysis techniques. - Ability to create clear and insightful data visualizations. - Understanding of automation concepts and experience with relevant tools. - Problem-solving skills using data and analytical techniques. Desired Skills: - Experience working with AI/ML algorithms and techniques, Gen AI, agentic AI. - Familiarity with data warehousing technologies and platforms. - Understanding of business processes and leveraging data for decision-making enhancements.,

As an Automation Engineer with 5 to 9 years of experience, you will play a crucial role in designing, developing, and implementing automation solutions to enhance system reliability, reduce operational toil, and minimize risks. Your primary responsibilities will revolve around collaborating with application support and SRE teams to identify automation opportunities and create scalable solutions using various technologies. **Key Responsibilities:** - **Script & Tool Development:** Design, develop, and maintain automation scripts and playbooks using Python and Ansible to automate routine system maintenance, deployment, and operational tasks. - **CI/CD Pipeline Integration:** Build and manage CI/CD pipelines (e.g., Jenkins, GitLab CI) to treat automation scripts as software assets, ensuring rigorous testing, version control, and automated deployment. - **Telemetry & Monitoring Integration:** Integrate automation solutions with telemetry and monitoring platforms like Grafana, Dynatrace, Splunk, Data Dog, and Prometheus for proactive automation and automated incident response workflows. - **Infrastructure Automation:** Collaborate with infrastructure teams to automate server, network, and cloud resource provisioning and configuration for consistent and reproducible environments. - **Toil Reduction & Process Improvement:** Identify manual processes, quantify them, and develop automation solutions to reduce operational effort. - **Configuration Drift Detection & Remediation:** Implement automated solutions to detect and remediate configuration drift across cloud and on-prem environments to ensure consistency and compliance. - **Documentation & Best Practices:** Create comprehensive documentation for all automation solutions and enforce software engineering best practices. **Qualifications Required:** - Bachelor's degree in Information Technology, Computer Science, Electrical/Computer Engineering, or related field. - 5-9 years of overall experience. - Strong experience in DevOps, SRE, or Application/System Operations. - Proficient in Python scripting. - Familiarity with Ansible for configuration management. - Experience with CI/CD tools like GitLab, Azure DevOps, Harness. - Proficient in API integration and developing RESTful APIs. - Ability to troubleshoot complex issues systematically. - Knowledge of monitoring & telemetry tools like Splunk, Dynatrace, Prometheus, Grafana. - Understanding of observability concepts and OpenTelemetry. - Strong troubleshooting and problem-solving skills. - Familiar with Network architecture and network diagrams. - Experience with containerization technologies like Docker, Kubernetes. - Knowledge of database systems such as SQL and NoSQL. - Familiarity with cloud platforms, preferably Microsoft Azure. - Experience with ML frameworks like Scikit-learn, TensorFlow, PyTorch for IT operations.,

As an Automation Project Engineer at Domis Tech, you will play a crucial role in designing, implementing, and troubleshooting automation systems both in Noida and on various sites across India and abroad. Your primary responsibilities will include: - Developing electrical control systems - Programming PLCs - Monitoring process control systems It is essential to collaborate effectively with cross-functional teams to ensure seamless project execution and the delivery of high-quality solutions. To excel in this role, you must possess expertise in Programmable Logic Controller (PLC) programming, with a focus on Siemens and Rockwell systems. Your background should include hands-on experience with Siemens and Rockwell PLCs, coupled with a strong foundation in Electrical Engineering and Process Control. The ability to troubleshoot control systems efficiently and effectively is a key requirement for this position. Your problem-solving skills and attention to detail will be instrumental in addressing challenges that may arise during the automation projects. You should be comfortable working both independently and as part of a team, demonstrating adaptability and a proactive approach to problem-solving. Previous experience in the industrial automation sector is a must-have qualification for this role. Joining Domis Tech will offer you the opportunity to work with cutting-edge technologies such as Artificial Intelligence, IoT, Machine Learning, Python, and Java. You will be part of a dynamic team that collaborates with multinational clients and delivers customized solutions to industries such as FMCG, energy, and oil and gas. If you are passionate about automation and seeking a challenging role that allows you to apply your skills in a fast-paced environment, we encourage you to apply for this exciting opportunity at Domis Tech.,

As a Test Automation Lead at Capgemini, you will play a crucial role in shaping and implementing test automation frameworks and strategies, contributing to the success of leading organizations worldwide. Your responsibilities will include: - Leading the design and implementation of test automation frameworks and strategies. - Establishing and maintaining automation infrastructure across platforms. - Identifying automation opportunities and developing scripts for various scenarios. - Building and maintaining automated regression test suites. - Collaborating with workstream test leads and executing hands-on testing. - Defining and executing test plans and strategies in alignment with stakeholder requirements. To excel in this role, you should possess the following qualifications: - 6-9 years of experience in software test automation. - Proficiency in test automation tools and frameworks such as Selenium WebDriver, JUnit, TestNG, and Cucumber. - Experience with API testing using tools like Postman. - Strong understanding of CI/CD pipelines and their integration into testing workflows. - Ability to manage people and coordinate effectively across teams. At Capgemini, you will enjoy working in a global leader in consulting, technology services, and digital transformation. You will be part of a collaborative and inclusive environment that values innovation and agility. Additionally, you will have access to continuous learning and upskilling opportunities, allowing you to engage in impactful projects with cutting-edge technologies. Capgemini is a global business and technology transformation partner, committed to helping organizations accelerate their transition to a digital and sustainable world. With a diverse team of 340,000 members in over 50 countries, Capgemini leverages its 55-year heritage to unlock the value of technology for its clients. The company offers end-to-end services and solutions, encompassing strategy, design, engineering, and advanced capabilities in AI, generative AI, cloud, and data, supported by deep industry expertise and a strong partner ecosystem.,

As a Data Science & Engineering Lead at Caller.digital, you will play a pivotal role in driving the architecture, experimentation, automation, and scaling of the voice AI platform. Your responsibilities will include: - **LLM Engineering & Agentic Workflows:** - Architect, build, and optimize LLM pipelines from platforms like OpenAI, Anthropic, and Llama. - Develop advanced memory systems, retrieval flows, and structured output agents. - Work with real-time Speech-to-Text (STT), LLM, and Text-to-Speech (TTS) loops using tools like LiveKit, Cartesia, Soniox, and Deepgram. - Improve latency, accuracy, and cost efficiency. - **Automation & Backend Development:** - Build automation workflows utilizing LangChain, LangGraph, and n8n. - Design and maintain backend APIs/services in Python or Node.js. - Manage vector databases such as FAISS, Pinecone, and Qdrant. - Create data pipelines for finetuning, evaluation, and analytics. - **Data Science & Model Operations:** - Conduct experiments for STT benchmarking, prompt tuning, and call quality scoring. - Analyze call logs at scale to enhance agent performance. - Develop monitoring dashboards and automated evaluation pipelines. - **Technical Leadership:** - Mentor and guide junior engineers. - Drive AI architecture decisions from end-to-end. - Collaborate with product, infrastructure, and customer teams for rapid iteration. - Lead the AI engineering pod and progress towards the Head of Engineering role. **Required Skills:** - Total experience of 4-10 years. - Deep hands-on experience with LLMs (OpenAI, Anthropic, HF). - Strong exposure to LangChain and LangGraph. - Experience with n8n automation. - Strong Python or Node.js engineering fundamentals. - Solid understanding of prompts, structured generation, and RAG. - Experience with vector databases and API-driven architectures. - Familiarity with real-time conversational AI or event-driven systems. **Good to Have:** - Experience with LiveKit or Plivo. - Knowledge of orchestration layers, asynchronous systems, and Redis. - Exposure to MLOps/model monitoring. - Prior experience in early-stage startups. If you are a hands-on builder with a strong execution mindset who loves experimenting with LLMs, agents, and automation frameworks, and are comfortable making architectural decisions, then this role is for you. Caller.digital offers a competitive salary, meaningful ESOPs, performance bonuses, and the opportunity to take on a larger equity stake as you grow into the Head of Engineering role. Join us to build the future of enterprise voice AI in a culture of ownership, experimentation, and speed with direct founder access for rapid execution.,

As a Technical Lead in Product Engineering at Saarthee, you will play a crucial role in leading the end-to-end technical development lifecycle of cutting-edge technology products. Your responsibilities and duties will include: - Leading the end-to-end technical development lifecycle including architecture, design, implementation, pilot, and production. - Owning the technical design and delivery of one core product while contributing to the engineering direction of others. - Collaborating with cross-functional teams to translate business requirements into scalable, production-ready systems. - Defining the technical roadmap and ensuring alignment with Saarthee's long-term product vision. - Driving pilot builds, overseeing MVP iterations, and ensuring timely product launches. - Building and maintaining scalable microservices, APIs, and backend systems. - Overseeing DevOps, CI/CD pipelines, and cloud architecture for deployment and optimization. - Conducting code reviews, ensuring technical excellence, and maintaining engineering best practices. - Mentoring and guiding a team of developers to foster a culture of ownership, learning, and innovation. - Evaluating new technologies, frameworks, and tools to improve scalability, maintainability, and delivery speed. - Collaborating with leadership to define engineering metrics and performance goals for product success. Qualifications required for this role include: - Bachelors or Masters degree in Computer Science, Information Technology, or a related field. - 8-12 years of hands-on experience in software engineering with at least 3+ years in a lead or architect role. - Strong proficiency in Python, Node.js, or Java, with experience in frameworks such as Django, FastAPI, Express.js, or Spring Boot. - Expertise in microservices architecture, API design, and distributed systems. - Experience with cloud platforms (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes). - Knowledge of CI/CD automation, infrastructure as code, and modern DevOps practices. - Familiarity with frontend technologies (React.js/Angular) and data engineering pipelines (Kafka, Spark, Airflow, Snowflake) preferred. - Experience leading pilot product builds or MVP launches. - Proven ability to lead, mentor, and manage cross-functional engineering teams. - Excellent analytical, problem-solving, and communication skills. - A builder mindset, comfortable with ambiguity, innovation, and accountability in fast-paced product environments. Saarthee offers a dynamic work environment with various opportunities for professional development, growth, and branding. Additionally, you can expect above-industry remunerations and various additional compensations tied to project execution and business development. The company values empathy, excellence, and result-driven approaches, emphasizing mentoring and team growth. As a Technical Lead in Product Engineering at Saarthee, you will play a crucial role in leading the end-to-end technical development lifecycle of cutting-edge technology products. Your responsibilities and duties will include: - Leading the end-to-end technical development lifecycle including architecture, design, implementation, pilot, and production. - Owning the technical design and delivery of one core product while contributing to the engineering direction of others. - Collaborating with cross-functional teams to translate business requirements into scalable, production-ready systems. - Defining the technical roadmap and ensuring alignment with Saarthee's long-term product vision. - Driving pilot builds, overseeing MVP iterations, and ensuring timely product launches. - Building and maintaining scalable microservices, APIs, and backend systems. - Overseeing DevOps, CI/CD pipelines, and cloud architecture for deployment and optimization. - Conducting code reviews, ensuring technical excellence, and maintaining engineering best practices. - Mentoring and guiding a team of developers to foster a culture of ownership, learning, and innovation. - Evaluating new technologies, frameworks, and tools to improve scalability, maintainability, and delivery speed. - Collaborating with leadership to define engineering metrics and performance goals for product success. Qualifications required for this role include: - Bachelors or Masters degree in Computer Science, Information Technology, or a related field. - 8-12 years of hands-on experience in software engineering with at least 3+ years in a lead or architect role. - Strong proficiency in Python, Node.js, or Java, with experience in frameworks such as Django, FastAPI, Express.js, or Spring Boot. - Expertise in microservices architecture, API design, and distributed systems. - Experience with cloud platforms (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes). - Knowledge of CI/CD automation, infrastructure as code, and modern DevOps practices. - Familiarity with frontend technologies (React.js/Angular) and data engineer

As the Head of Software Engineering at our company, you will play a crucial role in defining and delivering innovative technology solutions across our products and platforms. Your responsibilities will include setting the technology vision, leading cross-functional teams, evaluating emerging technologies, and ensuring the delivery of secure and scalable solutions. Key Responsibilities: - Define the overall technology vision, architecture, and roadmap across cloud, data, and application layers. - Evaluate and introduce emerging technologies such as serverless, microservices, blockchain, VR, and AI/ML to drive business value. - Lead cross-functional engineering teams to deliver secure, scalable, and high-performing solutions. - Collaborate with business stakeholders to translate requirements into technical designs and delivery plans. - Oversee DevOps, cloud infrastructure, data operations, and application development practices. - Mentor and coach engineers to foster a culture of innovation, automation, and quality. - Ensure compliance with security standards and optimize costs in cloud environments. Required Skills & Experience: - 10+ years of experience in senior engineering or architecture roles, with a minimum of 3 years in leadership positions. - Hands-on experience with technologies like AWS/GCP, Terraform, serverless architectures, microservices, and data platforms. - Proficiency in at least two programming languages such as Python, Go, NodeJS, Scala, or C#. - Experience in designing and implementing CI/CD, infrastructure as code, and cloud-native applications. - Ability to evaluate and integrate emerging technologies like VR, blockchain, and data analytics. - Proven track record of defining technology roadmaps and successfully delivering complex projects end-to-end. Nice to Have: - Previous experience in start-ups or consultancies driving technology strategy for multiple clients. - Familiarity with security/compliance frameworks such as SOC2, ISO27001, or similar. - Experience in building or scaling data-intensive products using tools like Databricks, Spark, and Redshift. We look forward to welcoming a dynamic and visionary individual to lead our software engineering team and drive technological innovation within the company.,

You will be responsible for planning, writing, and executing end-to-end automatic tests for complex features using Java and RestAssured. Your duties will include performing testing for AlgoSec's new SaaS product, collaborating with multiple cloud vendors such as AWS, Azure, and GCP, and running tests in a CI/CD environment. Qualifications required for this role include a BSc in Computer Science or Engineering, at least 3 years of experience in object-oriented programming with Java, and a minimum of 2 years of experience in developing complex automation tests using TestNG and RestAssured in Java. You should also have experience in manual QA testing, the ability to write your own tests before automation, and experience working with at least one cloud provider (AWS/Azure/GCP). Additionally, you should possess multitasking and problem-solving abilities, context switching and "out-of-the-box" thinking abilities, be a team player with a high level of integrity, and demonstrate good written and verbal communication skills in English. Advantages for this position include experience in QA of network security software products, experience in developing complex automation tests using Selenium in Java, and experience in testing SaaS applications. AlgoSec is an Equal Opportunity Employer (EEO) committed to creating a friendly, diverse, and inclusive company culture.,

Job Description: You will be working as an Engineering Manager Data Engineering at Nuaav, where you will be leading a team of data engineers to architect and deliver scalable data platforms on Microsoft Azure. Your role will require deep expertise in Azure cloud services, Python programming, and strong leadership skills to drive technical strategy, team growth, and execution of robust data infrastructures. Key Responsibilities: - Lead, mentor, and grow a high-performing data engineering team focused on delivering next-generation data solutions on Azure. - Architect and oversee the development of scalable data pipelines and analytics platforms using Azure Data Lake, Data Factory, Databricks, and Synapse. - Drive technical execution of data warehousing and BI solutions with advanced Python programming, including PySpark. - Enforce high standards for data quality, consistency, governance, and security across data systems. - Collaborate cross-functionally with product managers, software engineers, data scientists, and analysts to enable business insights and ML initiatives. - Define and implement best practices for ETL design, data integration, and cloud-native workflows. - Continuously optimize data processing for performance, reliability, and cost efficiency. - Oversee technical documentation, onboarding, and process compliance within the engineering team. - Stay abreast of industry trends in data engineering, Azure technologies, and cloud security to maintain cutting-edge capabilities. Qualifications: - Bachelors or Masters degree in Computer Science, Engineering, or related field. - 5+ years data engineering experience with significant team leadership or management exposure. - Strong expertise in designing and building cloud data solutions on Microsoft Azure (Data Lake, Synapse, Data Factory, Databricks). - Advanced Python skills for data transformation, automation, and pipeline development, including PySpark. - Solid SQL skills; experience with big data tools like Spark, Hive, or Scala is a plus. - Knowledge of CI/CD pipelines, DevOps practices, and Infrastructure-as-Code (Terraform, GitHub Actions). - Experience with data security, governance, and compliance frameworks in cloud environments. - Excellent communication, leadership, and project management capabilities. Additional Details about Nuaav: Nuaav is a boutique technology consulting firm specializing in delivering innovative, scalable, and secure data engineering and AI solutions. They partner with corporate clients to drive impactful change through specialized expertise in product engineering, data systems, AI/ML, and user experience. Nuaav's services emphasize personalized attention, agility, and quality, enabling clients to confidently transform and grow in evolving business environments.,

As an Automation Engineer, your role will involve the following: - Automation (bdd, cucumber, selenium, restassured api, playwright) - Automation Framework development & enhancement using Core Java, Python, and Javascript - Analytical debugging & monitoring of automation and microservices serving REST/SOAP apis, which requires knowledge of docker, kubernetes, pipelines, deployments, jenkins, log analysis, and troubleshooting - Understanding and implementing project methodologies such as SAFe, Agile, Scrum, Kanban, and Sprints In addition to the above responsibilities, this job specifically focuses on Industrial Operations Engineering. You will be expected to develop competency in your area of expertise, share your knowledge with others, and provide guidance and support. You should be able to interpret clients" needs, work independently or with minimum supervision, identify and solve problems, contribute to teamwork, and interact effectively with customers.,