29 Microservices Architecture jobs in Bangalore

• Assist in managing and maintaining cloud infrastructure on platforms like AWS or Azure.
• Learn and apply principles of DevOps, including CI/CD pipelines, automation, and monitoring.
• Gain hands-on experience with containerization technologies such as Docker and Kubernetes.
• Support the deployment and configuration of applications across different environments.
• Participate in troubleshooting and resolving infrastructure and application issues.
• Learn scripting languages for automation tasks.
• Collaborate with senior engineers on infrastructure projects.
• Contribute to documentation and knowledge sharing within the team.

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
• Basic understanding of operating systems (Linux/Windows) and networking concepts.
• Familiarity with programming or scripting languages is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Eagerness to learn and adapt to new technologies.
• A genuine interest in cloud computing and DevOps methodologies.

• Assist in the deployment and configuration of cloud services (e.g., AWS, Azure, GCP).
• Monitor cloud infrastructure performance and identify potential issues.
• Participate in troubleshooting and resolving technical problems within the cloud environment.
• Support the development and implementation of cloud security measures.
• Collaborate with senior engineers on cloud migration projects.
• Learn and apply scripting and automation tools for cloud operations.
• Document processes, configurations, and solutions.
• Engage in continuous learning and professional development within cloud technologies.
• Contribute to team meetings and project discussions.
• Adhere to company policies and industry best practices for cloud computing.

• Minimum of a high school diploma or equivalent is required; relevant technical certifications are a plus.
• A strong interest in IT and cloud technologies is essential.
• Basic understanding of networking concepts and operating systems (Windows/Linux).
• Good problem-solving and analytical skills.
• Ability to work effectively both independently and as part of a team.
• Excellent communication and interpersonal skills.
• Eagerness to learn and adapt to new technologies.
• Must be able to attend training sessions in Bengaluru, Karnataka, IN .

Title: SoC Design

Position: Senior SoC/Staff SoC Design Engineer -CPUSS

Location: Bangalore, KA. India

Company and Candidature Brief:

Join the India team of most cutting-edge and well-funded storage startup in Silicon Valley as the Sr/Staff SOC Design Engineer responsible for designing complex SOC using ARM architecture. As a Sr/Staff SOC Design Engineer with a focus on ARM Ecosystem Components and Architecture, you will work to understand the internal requirements and complexities of our SOC system and architect the SoC. You will help design the SoC RTL, Integrate IPs and define top level logic. You will also work with verification team to make sure that high quality verification is achieved for first pass success of SoC. You will also participate in architecture/product definition through early involvement in the product life cycle.

For a detailed information about us visit the company website:

Roles And Responsibilities

• Contribute to SoC architecture for a multi-core ARM SOC
• Define SoC micro architecture and design
• Design and implementation of CPUSS subsystem
• Working closely with the emulation and firmware teams to debug silicon functional issues.
• Build SoC around key ARM subsystem components and other IPs including various interfaces
• Design of clock-reset architecture and RTL implementation
• Integration of all IPs into SoC
• Work with verification team for complete SoC verification, review test plans
• RTL Simulation and debug
• Synthesis, Lint, CDC checks
• Assist in emulation, FPGA, prototyping efforts

Qualification and Mandatory Skillset Requirements:

• Minimum BE/BS degree (Masters preferred) in Electrical/Electronic Engineering/VLSI with 5 to 10 years of practical experience
• Strong fundamentals in digital ASIC design
• Expertise in ARM v8 and v9 specifications and their impact to SoC system architecture
• Multiple project experience with ARM based ecosystem components (A-series ARM Cores, SMMU, GIC, Coresight, NIC and other complex bus interconnects)
• Familiarity with AMBA bus protocols, system memory hierarchy, system debug infrastructure and multi-core SOC designs
• Exposure to ARM platform architecture specifications
• Strong experience with Verilog, SystemVerilog, DC/DC-T based synthesis, constraints development and RTL level checks. Low power methodology knowledge will be a plus.
• Understanding of major SOC interfaces like PCIE, DRAM, Flash, I2C, SSP, UART.
• Capable of working with multiple IP vendors and other teams
• Excellent communication and leadership quality to lead design team

Job Description:

We are seeking a highly skilled and motivated AI Engineer with expertise in large language models (LLMs), AI workflows, and machine learning. This role combines deep technical knowledge in ML/AI with hands-on experience building intelligent, production-ready systems that enhance cybersecurity investigation, prioritization, and response. You will work at the intersection of LLM-driven automation, workflow orchestration, and classical ML models to improve how alerts are prioritized, classified, and contextualized—reducing fatigue and enabling faster, more effective decision-making.

Your work will directly influence the development of agentic AI systems, workflow automation, and recommendation engines within cloud security platform.

Key Responsibilities

LLM Integration & Workflows:

Build, fine-tune, and integrate large language models (LLMs) into existing systems.

Develop agentic workflows for investigation, classification, and automated response in cybersecurity.

Apply techniques like retrieval-augmented generation (RAG), prompt engineering, and fine-tuning for domain-specific tasks.

Machine Learning Development:

Design, implement, and optimize ML models for prioritization, ranking, clustering, anomaly detection, and classification.

Apply both classical forecasting models (AR, ARIMA, SARIMA, ES) and modern architectures (XGBoost, LSTM, DeepAR, N-BEATS, Temporal Fusion Transformer).

Data Preparation & Feature Engineering:

Collect, preprocess, and transform structured and unstructured data (including logs, text, and access patterns).

Engineer features to maximize model interpretability and performance.

Model Training, Evaluation, and Deployment:

Train and evaluate models using rigorous metrics (precision, recall, AUC, F1, etc.).

Optimize hyperparameters and fine-tune LLMs for task-specific improvements.

Deploy ML/LLM models into production at scale with strong monitoring, drift detection, and observability.

Collaboration & Documentation:

Work closely with data scientists, ML engineers, security researchers, and software teams to build end-to-end solutions.

Document models, workflows, and pipelines for clarity, reproducibility, and knowledge sharing.

Requirements

Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or a related field.

5+ years of experience in ML/AI, including 3+ years deploying production-grade systems.

Experience contributing to publications (patents, libraries, or peer-reviewed papers) is a plus.

Strong knowledge of machine learning algorithms for classification, clustering, ranking, and anomaly detection.

Proficiency with LLM frameworks and APIs (OpenAI, Hugging Face Transformers, LangChain, LlamaIndex).

Hands-on experience building workflow automation with LLMs and integrating them into applications.

Solid programming skills in Python (experience with PyTorch, TensorFlow, scikit-learn).

Knowledge of NLP tasks (text classification, summarization, embeddings, semantic search).

Experience with recommendation systems or reinforcement learning is a strong plus.

Proven track record of deploying ML/AI models into production environments with scalability in mind.

Familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes).

Understanding of MLOps best practices (CI/CD for ML, monitoring, retraining strategies).

Strong problem-solving and analytical mindset.

Excellent communication and teamwork skills.

Ability to work in a fast-paced, evolving startup environment.

Write to me at for more details.

Job Summary

Role: AWS Software Architect- Leadership

Experience: 15 - 22 Years

Location: Bengaluru/Mumbai, India

We are seeking a highly skilled and experienced Technical Leader for our AWS Software Development practice. The ideal candidate will be responsible for architecting scalable software solutions and driving the implementation of software projects on AWS. This role requires a deep understanding of AWS services and software development best practices.

In this role, you will be responsible for establishing and enhancing the company's Software Development Services Practice. You will work closely with senior stakeholders to understand business needs and deliver technical solutions. The role is well-suited for a technically proficient individual looking to thrive in a dynamic and fast-paced environment.

Responsibilities:

Technical Leadership:

• Act as a visionary leader capable of steering, motivating, and driving exceptional performance in software development engagements.
• Conduct proof-of-concept projects to explore strategic opportunities and future-oriented software development capabilities, aiming to recommend scalable, flexible, and sustainable solutions that offer a high return on investment.
• Make informed architectural decisions with the customer's needs and priorities at the forefront.
• Guide and mentor engineers, actively participating in code reviews to ensure high standards of code quality.
• Collaborate closely with the sales/pre-sales/solution team to develop proposals and strategies that align with and meet the company's performance objectives.
• Partner with the marketing team to create collateral and assist recruitment teams in identifying and attracting the right talent to expand the practice.
• Design and implement robust, scalable, and maintainable software applications using AWS services.
• Lead the development and management of software infrastructure, ensuring automation of recurring tasks while maintaining software quality and integrity

Architecture and Design:

• Design and architect scalable and robust software solutions using AWS services.
• Ensure software architecture aligns with business requirements and best practices.
• Evaluate and select appropriate AWS services for software development, deployment, and management.

Project Implementation:

• Oversee the implementation of software development projects from inception to completion.
• Engage in strategic discussions with customers and offer thought leadership to guide their decisions.
• Ensure software quality, integrity, and security throughout the software development lifecycle.

Technical Innovation:

• Stay updated with the latest trends and advancements in software development and AWS technologies.
• Drive continuous improvement initiatives to enhance software development practices and processes.
• Experiment with new tools and technologies to improve software development efficiency and effectiveness.

What is Required

• ● Bachelor's or Master's degree in Engineering or Technology (B.E. / M.E. / B.Tech / M.Tech). o 15+ years of technical hands-on experience in software development.
• At least 4 end-to-end implementations of large-scale software projects.
• Experience working on projects across multiple geographic regions.
• Excellent verbal and written communication skills.
• Extensive experience with a variety of projects, including on-premises to AWS migration, modernization, greenfield implementations, and cloud-to-cloud migrations.
• Proficiency with AWS services such as EC2, ECS, EKS, Lambda, S3, RDS, DynamoDB, and API Gateway.
• Strong understanding of AWS architecture and best practices for software development.
• Proficiency in managing AWS IAM roles, policies, and permissions.
• Proficient in programming languages such as Java, Python, Node.js, or Go.
• Strong understanding of microservices architecture, serverless computing, and containerization.
• Experience with CI/CD pipelines and tools such as Jenkins, GitLab CI, or AWS Code Pipeline.
• Familiarity with DevOps practices and tools for monitoring, logging, and automation.
• Expertise in optimizing application performance and scalability.
• Experience with monitoring and troubleshooting distributed systems.
• Proficiency in performance tuning and optimization of cloud-native applications.
• Understanding of software lifecycle management and best practices for software development.
• Ability to implement and manage quality assurance frameworks and processes.

What’s in it for you?

The experience of working in a category defining high growth startups in the transformational AI,

Decision Science and Big Data Domain.

The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation.

The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.

Flexible working options available to foster productivity and work/life balance