- Design and own end-to-end data pipelines supporting:
- Real-time streaming systems
- Batch and scheduled processing
- Architect platforms for high throughput, low latency, and fault tolerance
- Define ingestion, enrichment, aggregation, and storage strategies for large datasets
- Design systems to handle huge storage requirements with efficient data lifecycle management
- Design scalable microservices using
- Architect workflow orchestration and long-running processes using Temporal
- Build and operate services on Kubernetes
- Ensure systems are resilient, observable, and easy to extend
- Drive and architect AI-related initiatives, including:
- Data pipelines for ML/AI workloads
- Feature generation and data preparation systems
- Integrating AI-driven components into production platforms
- Ensure AI systems are scalable, reliable, and production-ready
- Collaborate with data science and engineering teams to operationalize AI models
- Drive and monitor DevOps and SRE initiatives across the platform
- Define reliability, availability, and performance standards (SLIs/SLOs/SLAs)
- Guide practices around:
- CI/CD pipelines
- Infrastructure automation
- Observability and incident management
- Ensure systems are designed with operability and reliability as first-class concerns
- Architect solutions using cloud-native technologies while remaining portable
- Design systems that run in:
- Public cloud
- Hybrid environments
- On-prem deployments
- Evaluate and adopt open-source technologies thoughtfully
- Design architectures that avoid vendor lock-in and remain future-proof
- Act as a technical leader and strong team player
- Communicate architecture and design decisions clearly to:
- Engineers
- Product teams
- Leadership
- Mentor engineers and raise overall engineering maturity
- Lead design reviews and guide long-term technical strategy
- 15+ years of experience in software engineering and system architecture
- Strong background in distributed systems and data platforms
- Proven experience designing real-time and batch data pipelines
- Hands-on experience with:
- Kubernetes
- Workflow orchestration (Temporal preferred)
- Deep understanding of:
- Event-driven architectures
- Asynchronous processing
- Failure handling, retries, and back-pressure
- Experience designing systems with large-scale storage requirements
- Good understanding of networking fundamentals:
- TCP/IP, DNS, load balancing
- Service networking in distributed systems
- Ability to reason about latency, throughput, and failure modes
- Experience with:
- Streaming platforms (Kafka, Pulsar, etc.)
- Analytical, time-series, or OLAP databases (ClickHouse)
- Exposure to AI/ML platforms or MLOps
- Cloud security and identity concepts
- Experience building multi-tenant platforms
- Familiarity with observability stacks (metrics, logs, traces)
- Scalable and reliable data pipelines powering real-time and batch workloads
- Production-ready AI systems integrated into the platform
- Strong DevOps and SRE practices improving reliability and velocity
- Clear architectural direction enabling teams to move fast with confidence
- Systems that are built to evolve, not rewritten every year
- Architect platforms handling massive data volumes
- Drive AI-enabled, future-ready systems
- High ownership and impact on platform direction
- Work across cloud, open source, and on-prem environments
- Collaborate with a strong, motivated engineering team
-
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Cloud Architect - Bengaluru - Unosecur
Description
Headquartered in Berlin, we're a fast-growing B2B security SaaS platform making identity security smarter and simpler for enterprises worldwide. You'll be part of a diverse team that thrives on creativity, collaboration, and cross-border problem-solving. With cybersecurity now mission-critical, you'll be building not just a career, but a future in one of tech's most dynamic and resilient sectors. Joining Unosecur means stepping onto a global stage.
Role Overview
We are looking for a Senior Architect to drive the design and evolution of data pipelines, distributed services, and AI-enabled systems at Unosecur.
This role is focused on system architecture, data flow design, orchestration, reliability, and scalability. You will play a key role in shaping platforms that ingest, process, store, and analyze large-scale data while also driving AI-related initiatives across the organization.
Security knowledge is a strong add-on, but not a constraint. The primary expectation is architectural excellence, technical leadership, and the ability to build systems that can evolve rapidly.
Key Responsibilities
Data Platforms & Pipelines
Distributed Systems & Services
AI & Advanced Systems
DevOps & SRE Leadership
Cloud, Open Source & On-Prem
Collaboration & Leadership
Required Qualifications
Core Technical Skills
Storage & Networking
Good to Have
What Success Looks Like
Why Join Unosecur?
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Cloud Architect
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