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Principal Architect - Platform & Application Architect Experience 15+ years in software/data platform architecture 5+ years in architectural leadership roles Architecture & Data Platform Expertise Education Bachelors/Master’s in CS, Engineering, or related field Title: Principal Architect Location: Onsite Bangalore Experience: 15+ years in software & data platform architecture and technology strategy Role Overview We are seeking a Platform & Application Architect to lead the design and implementation of a next-generation, multi-domain data platform and its ecosystem of applications. In this strategic and hands-on role, you will define the overall architecture, select and evolve the technology stack, and establish best practices for governance, scalability, and performance. Your responsibilities will span across the full data lifecycle—ingestion, processing, storage, and analytics—while ensuring the platform is adaptable to diverse and evolving customer needs. This role requires close collaboration with product and business teams to translate strategy into actionable, high-impact platform & products. Key Responsibilities 1. Architecture & Strategy Design the end-to-end architecture for a On-prem / hybrid data platform (data lake/lakehouse, data warehouse, streaming, and analytics components). Define and document data blueprints, data domain models, and architectural standards. Lead build vs. buy evaluations for platform components and recommend best-fit tools and technologies. 2. Data Ingestion & Processing Architect batch and real-time ingestion pipelines using tools like Kafka, Apache NiFi, Flink, or Airbyte. Oversee scalable ETL/ELT processes and orchestrators (Airflow, dbt, Dagster). Support diverse data sources: IoT, operational databases, APIs, flat files, unstructured data. 3. Storage & Modeling Define strategies for data storage and partitioning (data lakes, warehouses, Delta Lake, Iceberg, or Hudi). Develop efficient data strategies for both OLAP and OLTP workloads. Guide schema evolution, data versioning, and performance tuning. 4. Governance, Security, and Compliance Establish data governance , cataloging , and lineage tracking frameworks. Implement access controls , encryption , and audit trails to ensure compliance with DPDPA, GDPR, HIPAA, etc. Promote standardization and best practices across business units. 5. Platform Engineering & DevOps Collaborate with infrastructure and DevOps teams to define CI/CD , monitoring , and DataOps pipelines. Ensure observability, reliability, and cost efficiency of the platform. Define SLAs, capacity planning, and disaster recovery plans. 6. Collaboration & Mentorship Work closely with data engineers, scientists, analysts, and product owners to align platform capabilities with business goals. Mentor teams on architecture principles, technology choices, and operational excellence. Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 12+ years of experience in software engineering, including 5+ years in architectural leadership roles. Proven expertise in designing and scaling distributed systems, microservices, APIs, and event-driven architectures using Java, Python, or Node.js. Strong hands-on experience with building scalable data platforms on premise/Hybrid/cloud environments. Deep knowledge of modern data lake and warehouse technologies (e.g., Snowflake, BigQuery, Redshift) and table formats like Delta Lake or Iceberg. Familiarity with data mesh, data fabric, and lakehouse paradigms. Strong understanding of system reliability, observability, DevSecOps practices, and platform engineering principles. Demonstrated success in leading large-scale architectural initiatives across enterprise-grade or consumer-facing platforms. Excellent communication, documentation, and presentation skills, with the ability to simplify complex concepts and influence at executive levels. Certifications such as TOGAF or AWS Solutions Architect (Professional) and experience in regulated domains (e.g., finance, healthcare, aviation) are desirable.

Job Title: AWS DevOps Engineer (Mid-Level) Location: Hybrid Role Overview As an AWS DevOps Engineer, youll own the end-to-end infrastructure lifecyclefrom design and provisioning through deployment, monitoring, and optimization. Youll collaborate closely with development teams to implement Infrastructure as Code, build robust CI/CD pipelines, enforce security and compliance guardrails, and integrate next-gen tools like Google Gemini for automated code-quality and security checks. Key Responsibilities Infrastructure as Code (IaC): Design, build, and maintain Terraform (or CloudFormation) modules for VPCs, ECS/EKS clusters, RDS, ElastiCache, S3, IAM, KMS, and networking across multiple Availability Zones. Produce clear architecture diagrams (Mermaid or draw.io) and documentation. CI/CD Pipeline Development: Implement GitHub Actions or AWS CodePipeline/CodeBuild workflows to run linting, unit tests, Terraform validation, Docker builds, and automated deployments (zero-downtime rolling updates) to ECS/EKS. Integrate unit tests (Jest, pytest) and configuration-driven services (SSM Parameter Store). Monitoring & Alerting: Define custom CloudWatch metrics (latency, error rates), create dashboards, and centralize application logs in CloudWatch Logs with structured outputs and PII filtration. Implement CloudWatch Alarms with SNS notifications for key thresholds (CPU, replica lag, 5xx errors). Security & Compliance: Enable and configure GuardDuty and AWS Config rules (e.g., public-CIDR security groups, unencrypted S3 or RDS). Enforce least-privilege IAM policies, key-management with KMS, and secure secret storage in SSM Parameter Store. Innovative Tooling Integration: Integrate Google Gemini (or similar) into the CI pipeline for automated Terraform security scans and generation of actionable security reports as PR comments. Documentation & Collaboration: Maintain clear README files, module documentation, and step-by-step deployment guides. Participate in code reviews, design discussions, and post-mortems to continuously improve our DevOps practices. Required Qualifications Experience: 3+ years in AWS DevOps or Site Reliability Engineering roles, designing and operating production-grade cloud infrastructure. Technical Skills: Terraform (preferred) or CloudFormation for IaC. Container orchestration: ECS/Fargate or EKS with zero-downtime deployments. CI/CD: GitHub Actions, AWS CodePipeline, and CodeBuild (linting, testing, Docker, Terraform). Monitoring: CloudWatch Dashboards, custom metrics, log centralization, and alarm configurations. Security & Compliance: IAM policy design, KMS, GuardDuty, AWS Config, SSM Parameter Store. Scripting: Python, Bash, or Node.js for automation and Lambda functions. Soft Skills: Strong problem-solving mindset and attention to detail. Excellent written and verbal communication for documentation and cross-team collaboration. Ability to own projects end-to-end and deliver under tight timelines. Preferred Qualifications Hands-on experience integrating third-party security or code-analysis APIs (e.g., Google Gemini, Prisma Cloud). Familiarity with monitoring and observability best practices, including custom metric creation. Exposure to multi-cloud environments or hybrid cloud architectures. Certification: AWS Certified DevOps Engineer Professional or AWS Certified Solutions Architect Associate.

Role & responsibilities About the Role Join our growing startup to build scalable backend systems using modern technologies. You'll work on real-world challenges and contribute to systems serving real users from day one. What You'll Work On Develop REST APIs using Django, Spring Boot, Flask, or Node.js Design and implement authentication systems (JWT, OAuth, MFA) Build database architectures with PostgreSQL and MongoDB Deploy applications on cloud platforms (GCP, AWS) Create data processing systems and analytics solutions Implement real-time features and background job processing Required Skills Programming: Proficiency in Python, Java, or JavaScript/Node.js Databases: Experience with relational (PostgreSQL/MySQL) and NoSQL (MongoDB) databases API Development: Built and consumed REST APIs in personal or academic projects Problem-Solving: Systematic debugging approach with strong analytical thinking Version Control: Git workflow experience with collaborative development Preferred candidate profile Cloud deployment experience (any platform) Authentication system implementation Database design and optimization Containerization with Docker Experience building business applications What Makes You a Great Fit You build projects to solve real problems, not just to learn syntax You iterate and improve existing functionality based on feedback You're comfortable working across multiple technologies and learning quickly You document your work thoroughly and communicate technical concepts clearly You approach challenges methodically and persistently