Data Engineering
2 weeks ago
We are seeking a passionate and hands-on
Technical Lead
to join our Infrastructure & Platform Engineering team. The ideal candidate will have deep experience in
Python-based microservices
,
PostgreSQL
,
observability stacks
,
Azure Cloud
, and
CI/CD pipelines
. This role demands leadership, architectural design, and hands-on coding capabilities to build internal platforms, self-service tools, and developer productivity solutions.
Key Responsibilities:
- Lead the
design, development, and deployment
of internal
Self-Service platforms
for data and infrastructure provisioning. - Drive architectural decisions for microservices using
Python (FastAPI/Flask)
and
Azure Cloud Services
. - Manage and mentor a team of engineers; collaborate with global stakeholders including Product Owners and Application Teams.
- Work closely with Data Engineers to build scalable
data migration and replication solutions
using tools like
Fivetran HVR
,
Databricks
, and
PostgreSQL
. - Champion
observability solutions
using
Prometheus
,
Grafana
, and help migrate from legacy APMs. - Develop and maintain robust
CI/CD pipelines
using Jenkins and related DevOps tools. - Guide and enforce best practices in
Agile/Scrum (SAFe)
development methodology. - Collaborate with security, operations, and business teams for
GTM product rollouts
.
Key Requirements:
- 12+ years
of total experience in software engineering with at least
3+ years in a leadership role
. - Strong programming skills in
Python
and frameworks such as
FastAPI
and
Flask
. - Hands-on experience with
Azure PostgreSQL Flexible Server
,
ARM Templates
, and
Azure DevOps
. - Proven experience with
Microservices
,
Kubernetes
,
Docker
, and
Helm
. - Sound experience in observability using
Prometheus
,
Grafana
, and alerting stacks. - Knowledge in
Databricks
,
job orchestration
, and integration with varied data sources. - Familiarity with
Fivetran HVR
for data replication and refresh processes. - Hands-on with
CI/CD tools (Jenkins)
and source control tools like
Git/SVN
. - Certified in
Kubernetes Cloud Native Associate (KCNA)
or similar – a plus. - Strong communication, team-building, and cross-functional leadership skills.
Preferred Qualifications:
- Certified in Kubernetes/Cloud tools
- Experience working with global financial clients or enterprise-scale environments
- Whitepaper submissions, patents, or open-source contributions are a plus
Tools & Technologies:
- Languages:
Python, Java, Shell - Frameworks:
FastAPI, Flask, Spring Boot - Cloud:
Azure, Databricks - Containerization:
Docker, Kubernetes, Helm - Monitoring:
Prometheus, Grafana - CI/CD:
Jenkins - Database:
PostgreSQL, Hadoop, Hive - Version Control:
Git, SVN - Methodology:
Agile, SAFe, Scrum
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