333 Distributed Systems Jobs - Page 14

Duration: 6Months Job Type: Contract Work Type: Onsite Job Description : The top 3 responsibilities: Design and develop software solutions to facilitate AWS region migrations Create and maintain migration automation tools and scripts Implement application modifications required for cross-region compatibility Build resilient applications that can operate across multiple AWS regions Implement and maintain CI/CD pipelines for migration workflows Leadership Principles: Bias for Action, Deliver Results Mandatory Requirements: 4+ years in Software development (Java is highly preferred) 1+ year in AWS Strong exp in DSA, Microservices architecture, RESTful APIs, Distributed systems Exp in Git version control, CI/CD pipelines, Infrastructure as Code, Container technologies Education or Certification: Any Graduation

Job Description : This is what you are responsible for : - Lead the architectural design and implementation of scalable, reliable, and high - performance software systems for AI, AI Compiler and edge computing applications. - Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives. - Define and maintain architectural best practices, guidelines, and documentation for the software engineering team. - Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions. - Ensure that all software architecture aligns with security, performance, and reliability standards. - Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation. - Participate in code reviews, design discussions, and technical roadmap planning to ensure high- quality delivery. - Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements.Necessary qualifications : - 8+ years of experience in software architecture, system design, and development of scalable, distributed systems. - Proven experience in designing edge - based solutions, compilers, runtime, firmware. - Strong programming skills in modern languages such as Python, C++ or similar language. - Expertise in designing high - performance, low - latency systems for AI/ML workloads. - Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines. - Familiarity with hardware - software co - design, embedded systems, and edge computing solutions is a plus. - Excellent problem - solving and communication skills, with the ability to explain complex technical concepts to both technical and non - technical stakeholders.

10+ years of software development experience with strong expertise in cloud, distributed systems, and database design. Work on .NET Core, Python, Java, C#, Angular/React, and cloud technologies (AWS/Azure/GCP). Device and communication protocol Required Candidate profile Design, develop, and implement AMI (Advanced Metering Infrastructure) software. Conduct full-cycle software development, including requirement analysis, design, coding, testing, and deployment.

Responsibilities for this position include : - Provides technical leadership in Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, NoSQL stores like Cassandra, HBase etc) across Fractal and contributes to open source Big Data technologies - Write and tune complex Java, MapReduce, Pig and Hive jobs - Adapt quickly to change in requirements and be willing to work with different technologies if required - Experience leading a Backend/Distributed Data Systems team while remaining hands-on is very important - Lead the effort to build, implement and support the data infrastructure - Manage the business intelligence team and vendor partners, ensuring to prioritize projects according to customer and internal needs, and develops top-quality dashboards using industry best practices - Manage team of data engineers (both full-time associates and/or third party resources) - Own the majority of deliverables for the Big Data team from a delivery perspective - Analyzes and confirms the integrity of source data to be evaluated - Leads in deployment and auditing models and attributes for accuracy Education for Lead Data Engineer : Have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Engineering, Statistics, Education, Technical, Information Technology, Information Systems, Mathematics, Computer Engineering, Management Skills for Lead Data Engineer : Desired skills for lead data engineer include : - Python - Spark - Java - Hive - SQL - Hadoop architecture - Large scale search applications and building high volume data pipelines - Message queuing - NoSQL - Scala Desired experience for lead data engineer includes : - Experience in development utilizing C# .NET 4.5 - Experience in managing a live service that customers depend - Experience in coaching and managing other engineers - Be a team player and enjoy collaboration with other engineers and teams - Experience with software version management systems - Experience with task/bug tracking software Exp : 5-7yrs

Responsibilities for this position include : - Provides technical leadership in Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, NoSQL stores like Cassandra, HBase etc) across Fractal and contributes to open source Big Data technologies - Write and tune complex Java, MapReduce, Pig and Hive jobs - Adapt quickly to change in requirements and be willing to work with different technologies if required - Experience leading a Backend/Distributed Data Systems team while remaining hands-on is very important - Lead the effort to build, implement and support the data infrastructure - Manage the business intelligence team and vendor partners, ensuring to prioritize projects according to customer and internal needs, and develops top-quality dashboards using industry best practices - Manage team of data engineers (both full-time associates and/or third party resources) - Own the majority of deliverables for the Big Data team from a delivery perspective - Analyzes and confirms the integrity of source data to be evaluated - Leads in deployment and auditing models and attributes for accuracy Education for Lead Data Engineer : Have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Engineering, Statistics, Education, Technical, Information Technology, Information Systems, Mathematics, Computer Engineering, Management Skills for Lead Data Engineer : Desired skills for lead data engineer include : - Python - Spark - Java - Hive - SQL - Hadoop architecture - Large scale search applications and building high volume data pipelines - Message queuing - NoSQL - Scala Desired experience for lead data engineer includes : - Experience in development utilizing C# .NET 4.5 - Experience in managing a live service that customers depend - Experience in coaching and managing other engineers - Be a team player and enjoy collaboration with other engineers and teams - Experience with software version management systems - Experience with task/bug tracking software Exp : 5-7yrs

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software We are looking for an experienced Software Architect / Principal Engineer to join our diverse team. This role focuses on delivering high-quality, scalable solutions, leveraging expertise in C# development, cloud technologies, and system design to surpass customer expectations. Key Responsibilities: Design & Development: Architect, design, and implement software solutions using C# and cloud technologies. Distributed Systems: Develop scalable distributed systems, implementing messaging solutions. Cloud Expertise: Develop and deploy applications on leading cloud platforms, ensuring scalability and performance. Technical Leadership: Provide technical direction, code reviews, and mentorship to the development team. System Integration: Lead efforts in application integration, ensuring seamless interoperability. Innovation & Problem Solving : Propose innovative solutions to complex challenges, staying updated with industry trends. Testing & Documentation: Ensure robust testing and maintain comprehensive documentation. Qualifications: Experience: 10+ years in software development with a strong focus on C# and cloud technologies. Certifications: Certified in relevant cloud platforms (e.g., Azure, AWS). Technical Skills: Deep understanding of cloud architecture, microservices, and containerization (e.g., Docker, Kubernetes). Proven understanding of application integration and system lifecycle methodologies. Soft Skills: Excellent communication, leadership, and attention to detail. Ability to handle multiple complex projects simultaneously

We are looking for a Senior Platform Engineer Airflow & Control-M with 5-10 years of experience to join our team in Bangalore or Chennai The ideal candidate will have strong expertise in Airflow, Control-M, Kubernetes, Observability (OpenTelemetry), Python, and Bash scripting The role involves managing critical data workflows, enhancing platform automation, and ensuring system reliability and scalability Excellent communication skills and hands-on experience in stabilizing production environments are essential

- Lead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications. - Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives. - Define and maintain architectural best practices, guidelines, and documentation for the software engineering team. - Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions. - Ensure that all software architecture aligns with security, performance, and reliability standards. - Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation. - Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery. - Drive continuous improvement in system architecture and development processes to support the company's growth and evolving requirements. Necessary qualifications : - 8+ years of experience in software architecture, system design, and development of scalable, distributed systems. - Proven experience in designing edge-based solutions, compilers, runtime, firmware. - Strong programming skills in modern languages such as Python, C++ or similar language. - Expertise in designing high-performance, low-latency systems for AI/ML workloads. - Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines. - Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus. - Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.