15 Serverless Architectures Jobs

As a Senior Automation Developer, you will be responsible for RPA development and automation using tools like UiPath. Your duties will include designing, developing, and deploying robust RPA solutions to enhance efficiency and accuracy by automating repetitive tasks. You will integrate RPA solutions with various systems and troubleshoot any issues that arise. Additionally, part of your role will involve training and mentoring team members on RPA technologies and best practices. In the realm of custom application development, you will design, develop, and deploy applications using modern web development technologies such as HTML5, CSS, JavaScript, React, and Angular. Developing APIs and microservices to facilitate integration with other systems will also be a key aspect of your responsibilities. Collaborating with business analysts and stakeholders to understand requirements and ensure the quality and performance of applications through testing and optimization are also crucial components of your role. Your problem-solving and solution design skills will be put to the test as you analyze complex business problems and create efficient automation solutions. You will need to generate clear and concise technical documentation, interpret project-related documents, and develop detailed solution designs including process flows, data mappings, and system integrations. Effective communication of solutions and project plans through presentations and project charters will be a key part of your role. If you have experience or an interest in AI and Machine Learning, you will have the opportunity to integrate these technologies into automation workflows. Understanding AI and ML concepts, identifying use cases, collaborating with experts, and staying updated on advancements in these fields will be advantageous. Managing and delivering projects on time and within budget, collaborating with cross-functional teams, and providing regular updates to stakeholders are additional responsibilities that may be part of your role. Technical requirements include strong proficiency in UiPath or other RPA tools, experience in designing complex automation workflows, knowledge of programming languages like .NET, C#, or VBA, and understanding APIs, web services, and data integration techniques. Expertise in front-end and back-end development technologies, proficiency in database design and SQL, experience with cloud platforms and containerization technologies, as well as knowledge of API development and microservices architecture are critical technical skills required for this position. Soft skills such as problem-solving, communication, teamwork, and a passion for learning new technologies are also essential. Experience with low-code/no-code platforms, DevOps practices and tools, security best practices, and cloud-native development are additional considerations that could enhance your qualifications. To be considered for this role, you should have a Bachelor's Degree in IT, Computer Science, or any engineering stream, along with a minimum of 3-4 years of relevant experience. The primary location for this position is in Bangalore, Karnataka, on a full-time basis. The unposting date is ongoing.,

Responsibilities : - Hands-on development in Golang to deliver trustworthy and smooth functionalities to our users - Monitor, debug, and fix issues in production at high velocity based on user impact - Maintain good code coverage for all new development, with well-written and testable code - Write and maintain clean documentation for software services - Integrate software components into a fully functional software system - Comply with project plans with a sharp focus on delivery timelines Requirement : - Bachelor's degree in computer science, information technology, or a similar field - Must have 3+ years of experience in developing highly scalable, performant web applications - Strong problem-solving skills and experience in application debugging - Hands-on experience of Restful services development using Golang - Hands-on working experience with database; SQL (PostgreSQL / MySQL) - Working experience of message streaming/queuing systems like Apache Kafka, RabbitMQ, - Cloud experience with Amazon Web Services (AWS) - Experience with Serverless Architectures (AWS) would be a plus - Hands-on experience with API / Echo framework

As a Software Developer, you will be responsible for various activities throughout the entire software development lifecycle. This includes requirements engineering, software and system design, implementation, testing, and documentation. The specific scope of your tasks will depend on the project and your experience, which will be discussed individually. You will collaborate in distributed, international teams where English is the primary language of communication. You must have extensive knowledge of Java (8+) and its ecosystem, along with a strong commitment to Clean Code, following KISS and SOLID principles in daily development. Proven experience with JUnit and JMockit for unit testing, deep expertise in Java EE and/or Spring Framework, solid understanding and practical application of design patterns are essential. Hands-on experience with static code analysis tools such as SonarQube, PMD, Findbugs, and Checkstyle, as well as practical experience using CI/CD tools, particularly Jenkins, for automation and deployment are required. Familiarity with version control systems like Git and GitLab, advanced knowledge of containerization technologies, specifically Docker, and a strong background in working with relational databases are necessary. Experience in the automotive industry or developing software for automotive applications is a plus. Excellent communication skills, with the ability to collaborate effectively in a team environment, and proficiency in English, both written and spoken, are mandatory. Nice-to-have qualifications include experience in designing distributed systems using microservice architectures, expertise in developing modern web interfaces using Angular, experience working with serverless architectures in cloud environments such as AWS or Azure, and practical knowledge of agile methodologies (e.g., Scrum) and experience with pair programming. In return, we offer private health care for comprehensive medical coverage, a generous vacation policy for you to rest and recharge, team lunches and dinners to enjoy meals and build connections with your colleagues, language learning opportunities to improve or learn new languages, learning & development support through courses, training, and continuous learning, and company events & team-building activities to connect with your team outside of work.,

As a Senior Software Engineer specializing in Node.js and AWS technologies, you will play a crucial role in our engineering team. Your primary responsibility will be designing and implementing cloud-native applications that are scalable, high-performing, and secure. Your expertise in backend development, DevOps, and serverless architectures will be key to your success in this role. Your key responsibilities will include developing robust backend services and RESTful/GraphQL APIs using Node.js, as well as building and maintaining serverless applications on AWS Lambda, API Gateway, and other AWS services. You will be tasked with ensuring the performance, quality, and security of the applications you work on, implementing best practices for security and data protection. Collaboration with cross-functional teams on architecture and project delivery will be a significant aspect of your role, along with writing clean, maintainable, and testable code. You will also be responsible for monitoring and optimizing infrastructure and code for performance and scalability. To excel in this position, you should have at least 5 years of professional experience in backend development using Node.js, along with hands-on experience with AWS services like Lambda, DynamoDB, S3, API Gateway, and CloudWatch. Proficiency in JavaScript (ES6+), experience with CI/CD pipelines, infrastructure as code, and deployment automation are essential. Familiarity with microservices, event-driven architecture, relational and NoSQL databases, and writing various types of tests will also be beneficial. If you possess strong problem-solving skills, attention to detail, and a passion for building cutting-edge cloud-native applications, we would love to have you on board as part of our team.,

The Company believes in conducting business guided by core values of Inclusion, Innovation, Collaboration, and Wellness. Together, these values ensure a collaborative global team working with customers at the center. As a Staff Engineer - Python, you will define the technical roadmap and drive innovation in collaboration with product and engineering leadership. Your responsibilities include analyzing requirements, transforming them into scalable software designs, advocating for code craftsmanship, and defining and executing the backend technology strategy. You will drive innovation, collaborate with cross-functional teams, and ensure the delivery of impactful solutions aligned with business objectives. To be successful in this role, you need 8+ years of backend development experience, proficiency in Python programming language, and a bachelor's degree in computer science or a related field. You should have leadership experience in designing and architecting scalable backend systems focusing on cloud-native solutions, microservices, and serverless architectures. Expertise in architecting and developing large-scale backend systems using Python, particularly with Django or Flask, is required. You should demonstrate proven ability to lead cross-functional teams, drive technical roadmaps, and ensure alignment with business objectives. Additionally, experience in designing fault-tolerant systems, advanced security practices, and mentoring engineering teams is essential. Preferred qualifications include experience with Agile/Scrum methodology, large-scale high-performance systems, cloud platforms (AWS, GCP, Azure), and contributions to open-source projects. The company encourages all interested candidates to apply, emphasizing a commitment to diversity and inclusion. To learn more about the company culture and community, visit the website provided.,

As a Senior/Lead Backend Developer at AcadAlly.ai, you will play a key role in revolutionizing education technology by leveraging AI to diagnose student misconceptions and bridge learning gaps. You will be responsible for building and scaling high-performance APIs and distributed systems, leading the development of the core platform using Django REST Framework, Redis, and Celery. Your focus will be on ensuring robustness, scalability, and seamless integration with AI/ML pipelines to empower educators and transform student outcomes globally. Your key responsibilities will include designing, developing, and maintaining RESTful APIs using Django REST Framework to serve thousands of concurrent users. You will optimize backend systems for low-latency, high-throughput performance by implementing caching with Redis and task queues with Celery. Additionally, you will architect fault-tolerant, distributed systems capable of handling exponential growth, implementing microservices, load balancing, and database sharding. In this role, you will also have the opportunity to mentor junior developers, conduct code reviews, and enforce best practices such as DRY, SOLID, and TDD. Collaboration with AI/ML, frontend, and DevOps teams will be crucial to delivering end-to-end features. You will monitor system health using tools like Prometheus/Grafana, troubleshoot bottlenecks, and ensure compliance with security standards including OAuth2, JWT, and data encryption. To be successful in this role, you should have at least 5 years of experience in backend development with expertise in Django REST Framework, proficiency in Redis and Celery, and a strong grasp of system design principles. Experience with high-traffic systems, fluency in Git, CI/CD, Agile, excellent problem-solving skills, and familiarity with edtech platforms or AI/ML integration are also required. Knowledge of Docker/Kubernetes, AWS/GCP, serverless architectures, and contributions to open-source projects will be advantageous. Joining AcadAlly.ai will allow you to make a significant impact by architecting systems that empower educators to diagnose and address learning gaps for millions of students. You will have the opportunity to solve complex challenges in distributed systems, real-time data processing, and high-concurrency API design, collaborate with AI/ML teams to optimize integration pipelines, and lead initiatives to improve system reliability, performance, and security in a mission-driven environment.,

As the Machine Learning Enablement Engineering Manager within Ford's Data Platforms and Engineering (DP&E) organization, you are a key leader responsible for guiding and developing a team of engineers focused on delivering high-impact, scalable machine learning solutions to address critical business challenges within DP&E. Your primary focus will be on building and maintaining the platform infrastructure and processes that empower data scientists and ML engineers to rapidly deploy and scale their solutions into production. You will work closely with Product Managers, Architects, Data Scientists, and other key stakeholders to drive engineering excellence, promote innovation, and uphold best practices. This role is less about building individual ML models and more about creating robust, reliable, and scalable solutions that allow others to deliver value effectively. Your leadership is crucial in driving the success of our machine learning initiatives. Your ability to guide and develop a team of engineers, while maintaining alignment with Ford's strategic goals, will be key to delivering world-class, production-ready ML solutions that power Ford's transformation into a data-driven enterprise. You should be a highly hands-on engineering leader with a proven track record of delivering complex, scalable solutions. While a deep understanding of ML concepts is beneficial, your primary focus will be on platform engineering, DevOps, and building robust, maintainable infrastructure. You will define processes for technical platforms, conceive application prototypes, and mentor your team in best practices. Your day-to-day responsibilities will involve designing and managing the organization's ML infrastructure architecture, ensuring data is efficiently processed, stored, and accessed to support ML model development and deployment. You will be pivotal in delivering these solutions on time and within budget. Engineering Leadership & Management: - Proven experience (7+ years) in a leadership role managing engineering teams, ideally with a focus on platform engineering, MLOps, or similar areas. Experience managing remote teams is a plus. - Experience leading and mentoring engineering teams, fostering a culture of innovation, continuous learning, and technical excellence. Demonstrated ability to drive strategic technical decisions and ensure alignment with broader organizational goals. - Proven ability to build and maintain high-performing teams, promoting accountability, ownership, and collaboration. Experience with performance management, including conducting performance reviews and providing constructive feedback. - Excellent communication and interpersonal skills, with a proven ability to cultivate cross-functional collaboration and build strong relationships with stakeholders at all levels. Agile & Scrum Practices: - Deep understanding and practical experience with Agile methodologies (Scrum, Kanban), including facilitating daily stand-ups, sprint planning, backlog grooming, and sprint retrospectives. - Experience working closely with Product Managers to align engineering efforts with product goals, ensure well-defined user stories, and manage priorities effectively. - Proven ability to ensure engineering rigor in story hygiene, including clear acceptance criteria, well-defined dependencies, and a focus on deliverability within the sprint. Technical Expertise & Accountability: - Deep understanding of platform engineering principles and experience designing, building, and maintaining scalable and reliable infrastructure for ML workloads. - Expertise in DevOps practices, including CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), infrastructure-as-code (Terraform, Ansible, CloudFormation), and automation. - Proficiency in at least one programming language (e.g., Python, Java) sufficient to effectively communicate with and guide your engineering team. You won't be expected to contribute to team capacity by coding, but you need to be able to speak the language of your engineers. - Strong understanding of cloud solutions and offerings (preferably GCP services - Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage, Vertex AI). Experience with other major cloud providers (AWS, Azure) is also valuable. - Experience with designing and implementing microservices and serverless architectures. Experience with containerization (Docker, Kubernetes) is highly beneficial. - Experience with monitoring and optimizing platform performance, ensuring systems are running efficiently and meeting SLAs. Proven ability to lead incident management efforts and implement continuous improvements to enhance reliability. - Commitment to best engineering practices, including code reviews, testing, and documentation. A focus on building maintainable and scalable systems is essential. Operational Excellence & Cost Optimization: - Proven ability to drive cost optimization initiatives, particularly in cloud infrastructure and resource usage, aligning with Ford's broader cost-reduction goals. - Experience tracking and reporting key metrics for your domain/platform related to team performance, including quality and operational efficiency.,

As an AI/ML Engineer (Python) at Telepathy Infotech, you will be responsible for building and deploying machine learning and GenAI applications in real-world scenarios. You will be part of a passionate team of technologists working on innovative digital solutions for clients across industries. We value continuous learning, ownership, and collaboration in our work culture. To excel in this role, you should have strong Python skills and experience with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. Experience in GenAI development using APIs such as Google Gemini, Hugging Face, Grok, etc. is highly desirable. A solid understanding of ML, DL, NLP, and LLM concepts is essential along with hands-on experience in Docker, Kubernetes, and CI/CD pipeline creation. Familiarity with Streamlit, Flask, FastAPI, MySQL/PostgreSQL, AWS services (EC2, Lambda, RDS, S3, API Gateway), LangGraph, serverless architectures, and vector databases like FAISS, Pinecone, will be advantageous. Proficiency in version control using Git is also required. Ideally, you should have a B.Tech/M.Tech/MCA degree in Computer Science, Data Science, AI, or a related field with at least 1-5 years of relevant experience or a strong project/internship background in AI/ML. Strong communication skills, problem-solving abilities, self-motivation, and a willingness to learn emerging technologies are key qualities we are looking for in candidates. Working at Telepathy Infotech will provide you with the opportunity to contribute to impactful AI/ML and GenAI solutions while collaborating in a tech-driven and agile work environment. You will have the chance to grow your career in one of India's fastest-growing tech companies with a transparent and supportive company culture. To apply for this position, please send your CV to hr@telepathyinfotech.com or contact us at +91-8890559306 for any queries. Join us on our journey of innovation and growth in the field of AI and ML at Telepathy Infotech.,

At Velsera, we are committed to revolutionizing the pace of medicine. Established in 2023 by the collaboration of Seven Bridges and Pierian, our primary goal is to expedite the discovery, development, and dissemination of groundbreaking insights that can change lives for the better. We specialize in offering cutting-edge software solutions and professional services that cater to various aspects of the healthcare industry, including: - AI-powered multimodal data harmonization and analytics for drug discovery and development - IVD development, validation, and regulatory approval - Clinical NGS interpretation, reporting, and adoption Headquartered in Boston, MA, we are in a phase of rapid growth, with teams expanding across different countries to meet the increasing demands of our clients. As a Python Developer at Velsera, your responsibilities will include: - Development: Crafting clean, efficient, and well-documented Python code to fulfill project requirements - API Development: Creating RESTful APIs and integrating third-party APIs when necessary - Testing: Composing unit tests and integration tests to ensure high code quality and functionality - Collaboration: Collaborating closely with cross-functional teams to implement new features and enhance existing ones - Code Review: Participating in peer code reviews and offering constructive feedback to team members - Maintenance: Debugging, troubleshooting, and enhancing the existing codebase to boost performance and scalability. Proactively identifying technical debt items and proposing solutions to address them - Documentation: Maintaining detailed and accurate documentation for code, processes, and design - Continuous Improvement: Staying updated with the latest Python libraries, frameworks, and industry best practices. To excel in this role, you should bring: - Experience: A minimum of 6 years of hands-on experience in Python development - Technical Skills: Proficiency in Python 3.x, familiarity with popular Python libraries (e.g., NumPy, pandas, Flask, boto3), experience in developing lambda functions, strong understanding of RESTful web services and APIs, familiarity with relational databases (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB), knowledge of version control systems (e.g., Git), experience with Docker and containerization, experience with AWS services such as ECR, Batch jobs, step functions, cloud watch, etc., and experience with Jenkins is a plus - Problem-Solving Skills: Strong analytical and debugging skills with the ability to troubleshoot complex issues - Soft Skills: Strong written and verbal communication skills, ability to work independently and collaboratively in a team environment, detail-oriented with the capacity to manage multiple tasks and priorities. Preferred skills include experience working in the healthcare or life sciences domain, strong understanding of application security and OWASP best practices, hands-on experience with serverless architectures (e.g., AWS Lambda), proven experience in mentoring junior developers and conducting code reviews. Velsera offers a range of benefits, including a Flexible & Hybrid Work Model to support work-life balance and an Engaging & Fun Work Culture that includes vibrant workplace events, celebrations, and engaging activities to make every workday enjoyable.,

As the Machine Learning Enablement Engineering Manager within Ford's Data Platforms and Engineering (DP&E) organization, you are a key leader responsible for guiding and developing a team of engineers focused on delivering high-impact, scalable machine learning solutions to address critical business challenges within DP&E. Your primary focus will be on building and maintaining the platform infrastructure and processes that empower data scientists and ML engineers to rapidly deploy and scale their solutions into production. You will work closely with Product Managers, Architects, Data Scientists, and other key stakeholders to drive engineering excellence, promote innovation, and uphold best practices. This role is less about building individual ML models and more about creating robust, reliable, and scalable solutions that allow others to deliver value effectively. Your leadership is crucial in driving the success of our machine learning initiatives. Your ability to guide and develop a team of engineers, while maintaining alignment with Ford's strategic goals, will be key to delivering world-class, production-ready ML solutions that power Ford's transformation into a data-driven enterprise. You should be a highly hands-on engineering leader with a proven track record of delivering complex, scalable solutions. While a deep understanding of ML concepts is beneficial, your primary focus will be on platform engineering, DevOps, and building robust, maintainable infrastructure. You will define processes for technical platforms, conceive application prototypes, and mentor your team in best practices. Your day-to-day responsibilities will involve designing and managing the organization's ML infrastructure architecture, ensuring data is efficiently processed, stored, and accessed to support ML model development and deployment. You will be pivotal in delivering these solutions on time and within budget. **ML Enablement Engineering** **Engineering Leadership & Management:** - Proven experience (7+ years) in a leadership role managing engineering teams, ideally with a focus on platform engineering, MLOps, or similar areas. Experience managing remote teams is a plus. - Experience leading and mentoring engineering teams, fostering a culture of innovation, continuous learning, and technical excellence. Demonstrated ability to drive strategic technical decisions and ensure alignment with broader organizational goals. - Proven ability to build and maintain high-performing teams, promoting accountability, ownership, and collaboration. Experience with performance management, including conducting performance reviews and providing constructive feedback. - Excellent communication and interpersonal skills, with a proven ability to cultivate cross-functional collaboration and build strong relationships with stakeholders at all levels. **Agile & Scrum Practices:** - Deep understanding and practical experience with Agile methodologies (Scrum, Kanban), including facilitating daily stand-ups, sprint planning, backlog grooming, and sprint retrospectives. - Experience working closely with Product Managers to align engineering efforts with product goals, ensure well-defined user stories, and manage priorities effectively. - Proven ability to ensure engineering rigor in story hygiene, including clear acceptance criteria, well-defined dependencies, and a focus on deliverability within the sprint. **Technical Expertise & Accountability:** - Deep understanding of platform engineering principles and experience designing, building, and maintaining scalable and reliable infrastructure for ML workloads. - Expertise in DevOps practices, including CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions), infrastructure-as-code (Terraform, Ansible, CloudFormation), and automation. - Proficiency in at least one programming language (e.g., Python, Java) sufficient to effectively communicate with and guide your engineering team. You won't be expected to contribute to team capacity by coding, but you need to be able to speak the language of your engineers. - Strong understanding of cloud solutions and offerings (preferably GCP services Compute Engine, Kubernetes Engine, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage, Vertex AI). Experience with other major cloud providers (AWS, Azure) is also valuable. - Experience with designing and implementing microservices and serverless architectures. Experience with containerization (Docker, Kubernetes) is highly beneficial. - Experience with monitoring and optimizing platform performance, ensuring systems are running efficiently and meeting SLAs. Proven ability to lead incident management efforts and implement continuous improvements to enhance reliability. - Commitment to best engineering practices, including code reviews, testing, and documentation. A focus on building maintainable and scalable systems is essential. **Operational Excellence & Cost Optimization:** - Proven ability to drive cost optimization initiatives, particularly in cloud infrastructure and resource usage, aligning with Ford's broader cost-reduction goals. - Experience tracking and reporting key metrics for your domain/platform related to team performance, including quality and operational efficiency.,

You are an experienced Solution Architect with a solid background in software architecture and a good understanding of AI-based products and platforms. Your main responsibility will be to design robust, scalable, and secure architectures that support AI-driven applications and enterprise systems. In this role, you will collaborate closely with cross-functional teams, including data scientists, product managers, and engineering leads, to ensure the alignment of business needs, technical feasibility, and AI capabilities. Your key responsibilities will include architecting end-to-end solutions for enterprise and product-driven platforms, such as data pipelines, APIs, AI model integration, cloud infrastructure, and user interfaces. You will guide teams in selecting appropriate technologies, tools, and design patterns for building scalable systems. Additionally, you will work with AI/ML teams to understand model requirements and facilitate their smooth deployment and integration into production environments. In this role, you will define system architecture diagrams, data flow, service orchestration, and infrastructure provisioning using modern tools. Furthermore, you will collaborate with stakeholders to translate business requirements into technical solutions, emphasizing scalability, performance, and security. Your leadership will be crucial in promoting best practices for software development, DevOps, and cloud-native architecture. You will also conduct architecture reviews to ensure compliance with security, performance, and regulatory standards. To be successful in this role, you should have at least 10 years of experience in software architecture or solution design roles. You should demonstrate expertise in designing systems using microservices, RESTful APIs, event-driven architecture, and cloud-native technologies. Hands-on experience with major cloud providers like AWS, GCP, or Azure is essential. Familiarity with AI/ML platforms and components, data architectures, containerization, DevOps principles, and the ability to lead technical discussions are also required skills. Preferred qualifications include exposure to AI model lifecycle management, infrastructure-as-code tools like Terraform or Pulumi, knowledge of GraphQL, gRPC, or serverless architectures, and previous experience in AI-driven product companies or digital transformation programs. In return, you will have the opportunity to play a high-impact role in designing intelligent systems that drive the future of AI adoption. You will work alongside forward-thinking engineers, researchers, and innovators, with a strong focus on career growth, learning, and technical leadership. The compensation offered is competitive and reflective of the value you bring to the role.,

The Company Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do and they push us to ensure we take care of ourselves, each other, and our communities. Job Description: CL-7 Staff Engineer Python What you need to know about the role Meet Your Team Your way to impact Your day-to-day: As a Staff Engineer Python, you'll define the technical roadmap and drive innovation. You'll collaborate with product and engineering leadership to deliver impactful solutions. Strong analytical skills to analyze requirements and transform into scalable software designs. Strong advocate of code craftsmanship, good coding standards and use of tools that will improve the quality of the delivered code Define and execute the backend technology strategy. Drive innovation and experimentation. Collaborate with cross-functional teams to deliver business outcomes What do you need to bring: 8+ years of backend development experience and bachelors degree in computer science or related field. Proficiency in Python programming language. Leadership in designing and architecting scalable backend systems with a focus on cloud-native solutions, microservices, and serverless architectures. Expertise in architecting and developing large-scale backend systems using Python, with extensive experience in Django, or Flask. Proven ability to lead cross-functional teams, drive technical roadmaps, and ensure alignment with business objectives. Expertise in designing and implementing fault-tolerant systems with a focus on high availability and disaster recovery. Experience with advanced security practices, including secure coding, encryption, and access control. Proven ability to influence and mentor engineering teams, fostering a culture of innovation and continuous improvement. Deep expertise in backend technologies and architecture. Proven ability to lead and influence cross-functional teams. Preferred Qualifications: Experience with using Agile/Scrum methodology for software development Experience with large-scale, high-performance systems. Experience with cloud platforms (AWS, GCP, Azure). Contributions to open-source projects. Our Benefits: Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.,

As a talented and experienced professional, you are invited to explore exciting opportunities in various engineering roles with a focus on cutting-edge technologies and cloud-native solutions. Join our team in Pune/Nagpur, Maharashtra, for full-time positions in UK shift timings. We are looking for individuals with a minimum of 6 to 8 years of relevant experience who are passionate about innovation and possess deep technical expertise. If you thrive in an agile environment and are eager to contribute to projects involving infrastructure automation, software development life cycle (SDLC), and cloud services, then we encourage you to consider the roles below: Automation Engineer: - Develop and maintain orchestration designs, RESTful APIs, and microservices. - Implement BDD frameworks and work on CI/CD pipelines using Jenkins. - Contribute to infrastructure management and cloud services deployment (AWS/Azure). - Collaborate within Scrum and Agile frameworks. Infrastructure Automation Delivery Manager: - Manage end-to-end infrastructure automation projects. - Provide leadership in project management, requirement gathering, and cloud architecture. - Ensure compliance with SDLC and GxP processes. DevOps/Release Engineer: - Streamline deployment pipelines and maintain release schedules. - Work on configuration management and cloud deployment processes. Chef/SCM Engineer & Developer: - Develop and manage Chef-based configuration management solutions. - Enhance SCM tools and processes for improved efficiency. Kubernetes Engineer: - Design, deploy, and manage Kubernetes clusters and orchestration tools. - Optimize deployments with Helm charts, ArgoCD, and Docker. AWS Engineer: - Architect and maintain cloud-based applications using AWS services. - Utilize AWS tools like Lambda, CloudFront, and CloudWatch for deployment and monitoring. Lead Frontend Software DevOps Engineer: - Lead frontend DevOps projects, ensuring best practices in serverless architecture. - Collaborate on cloud-native designs with a focus on performance and scalability. Frontend Software DevOps Engineer: - Implement frontend development with a focus on automation and scalability. - Leverage modern frameworks for cloud-native solutions. Azure Engineer: - Deploy and manage Azure-based infrastructure and applications. - Collaborate with cross-functional teams for cloud-native solutions. Scrum Master - Cloud Native: - Facilitate Agile/Scrum ceremonies for cloud-native projects. - Drive collaboration across teams for efficient delivery. Cloud Agnostic Engineer: - Design and implement cloud-agnostic solutions across AWS and Azure platforms. - Enhance cloud infrastructure with Kubernetes and Terraform. Additionally, we are seeking individuals with strong communication, writing, and presentation skills, experience in Agile/Scrum methodologies, and familiarity with modern tools such as Artifactory, Docker, CI/CD pipelines, and serverless architectures. Join us to work on innovative projects, collaborate with a highly skilled team, and explore opportunities for professional growth and certifications. If this opportunity excites you, please share your updated resume with the job title mentioned in the subject line to jagannath.gaddam@quantumintegrators.com. Let's build the future together!,

The company Armada is an edge computing startup that specializes in providing computing infrastructure to remote areas with limited connectivity and cloud infrastructure. They also focus on processing data locally for real-time analytics and AI at the edge. Armada is dedicated to bridging the digital divide by deploying advanced technology infrastructure rapidly. As they continue to grow, they are seeking talented individuals to join them in achieving their mission. As a DevOps Lead at Armada, you will play a crucial role in integrating AI-driven operations into the DevOps practices of the company. Your responsibilities will include leading a DevOps team, designing scalable systems, and implementing intelligent monitoring, alerting, and self-healing infrastructure. The role requires a strategic mindset and hands-on experience with a focus on Ops AI. This position is based at the Armada office in Trivandrum, Kerala. As the DevOps Lead, you will lead the DevOps strategy with a strong emphasis on AI-enabled operational efficiency. You will architect and implement CI/CD pipelines integrated with machine learning models and analytics. Additionally, you will develop and manage infrastructure as code using tools like Terraform, Ansible, or CloudFormation. Collaboration is key in this role, as you will work closely with data scientists, developers, and operations teams to deploy and manage AI-powered applications. You will also be responsible for enhancing system observability through intelligent dashboards and real-time metrics analysis. Furthermore, you will mentor DevOps engineers and promote best practices in automation, security, and performance. To be successful in this role, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. You should also have at least 7 years of DevOps experience with a minimum of 2 years in a leadership role. Proficiency in cloud infrastructure management and automation is essential, along with experience in AIOps platforms and tools. Strong scripting abilities, familiarity with CI/CD tools, and expertise in containerization and orchestration are also required. Preferred qualifications include knowledge of MLOps, experience with serverless architectures, and certification in cloud platforms. Demonstrable experience in building and integrating software and hardware for autonomous or robotic systems is a plus. Strong analytical skills, time-management abilities, and effective communication are highly valued for this role. In return, Armada offers a competitive base salary along with equity options for India-based candidates. If you are a proactive individual with a growth mindset, strong problem-solving skills, and the ability to thrive in a fast-paced environment, you may be a great fit for this position at Armada. Join the team and contribute to the success and growth of the company while working collaboratively towards achieving common goals.,

Experience: 5 + years Expected Notice Period: 30 Days Shift: (GMT+05:30) Asia/Kolkata (IST) Opportunity Type: Office (Gurugram) Placement Type: Full Time Permanent position Must have skills required: Bash, Grafana, serverless architectures, Ansible, CI/CD Tools, Cloud, IAC, Docker, Kubernetes, Python We are seeking a highly experienced DevOps Engineer to join our engineering team. In this role, you will design and manage robust CI/CD pipelines, optimize cloud infrastructure, and ensure the scalability, reliability, and security of our systems. You will work closely with development teams to drive automation, improve deployment practices, and contribute to our evolving DevOps strategy. Key Responsibilities Design, implement, and maintain end-to-end CI/CD pipelines for automated testing, building, and deployment. Architect, manage, and optimize secure and scalable cloud infrastructure (AWS, Azure, or GCP). Automate infrastructure provisioning and configuration using IaC tools like Terraform or CloudFormation. Collaborate with development teams to troubleshoot production issues and implement performance improvements. Develop and maintain monitoring, logging, and alerting systems for high availability and rapid incident response. Implement and manage disaster recovery and business continuity plans. Enforce security best practices across the software development lifecycle. Drive continuous improvement of DevOps tools, practices, and workflows. Participate in on-call rotations for operational support and incident management. Required Qualifications Bachelors degree in Computer Science, Engineering, or a related field (or equivalent experience). 3+ years of proven experience in a DevOps or similar engineering role. Proficient in at least one major cloud platform (AWS, Azure, or GCP). Experience with configuration management tools (Ansible, Puppet, Chef). Strong knowledge of CI/CD tools (Jenkins, GitLab CI, CircleCI, etc.) and version control systems (Git). Deep understanding of containerization (Docker) and orchestration (Kubernetes). Solid grasp of networking, security, and system administration. Hands-on experience with Infrastructure as Code (Terraform, CloudFormation). Excellent problem-solving, automation, and communication skills. Preferred Qualifications Experience with scripting languages such as Python or Bash. Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK stack). Exposure to serverless architectures. Experience with database administration and performance tuning. Prior experience in an eCommerce environment is highly preferred.