
Tech Lead
2 weeks ago
We are building a next-generation data compliance platform that operates at petabyte scale
and empowers enterprises to manage data privacy, governance, and regulatory requirements
with precision. Our engineering culture thrives on autonomy, mastery, and purpose —
giving teams ownership of impactful systems in a high-scale, distributed environment.
Role Overview
As a Technology Lead, you will architect, design, and guide the development of high-
volume, distributed, event-driven microservices. You will lead engineering initiatives that
power our platform's scalability, resiliency, and compliance capabilities, working closely
with product and operations to deliver secure, reliable, and compliant solutions.
Key Responsibilities
• Architect & Design highly scalable, event-driven microservices for data compliance
workflows.
• Lead Technical Delivery — own end-to-end system design, from proof-of-concept
to production.
• Drive Cloud-Native Adoption — leverage containerization, orchestration, and cloud
services (AWS/Azure).
• Implement Observability — design logging, monitoring, and tracing solutions (e.g.,
ELK, Datadog, OpenTelemetry).
• Champion SRE Practices — build resilience, automate operational processes, and
ensure platform SLAs.
• Optimize Data Storage — design and manage NoSQL database usage (MongoDB,
Cassandra, or DynamoDB).
• Mentor Engineers — foster technical excellence, guide architectural decisions, and
lead by example.
• Collaborate Cross-Functionally — partner with product, compliance, and
infrastructure teams to align on business goals.
Required Skills & Experience
• 10 years of professional software development experience, with 3 years in a
technical leadership role.
• Proven track record in building distributed, event-driven, microservices-based
applications in Java.
• Strong understanding of cloud platforms (AWS) and cloud-native architectures.
• Experience in CI/CD pipelines and automated deployment strategies
• Expertise in observability tools and concepts — metrics, logs, traces, dashboards.
• Solid grasp of SRE principles — incident management, chaos engineering, capacity
planning.
• Hands-on with NoSQL databases (MongoDB, Cassandra, DynamoDB, etc.).
• Strong expertise in Domain-Driven Design (DDD) for large-scale, complex systems.
• Experience in Platform Engineering — building reusable, scalable, and self-service
infrastructure capabilities for multiple teams.
• Strong problem-solving skills and ability to make trade-offs in architecture and
design.
• Excellent communication skills with the ability to explain complex technical topics to
diverse audiences.
Good to Have
• Experience in data governance, compliance, or security domains.
• Knowledge of stream processing frameworks (Kafka Streams, Flink, Spark
Streaming
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