Senior Software Engineer
Pearl HealthSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, AdTechIndustries
Requirements
- 8+ years of backend development experience, including 3+ years in a technical leadership or architecture role
- Deep expertise in distributed systems, event-driven architecture, and data-intensive applications
- Strong proficiency in at least one backend language (Node.js, Python, Go, or Java)
- Hands-on experience with Kafka, ClickHouse, Snowflake, and relational databases
- Proven experience scaling systems on AWS or GCP
- Exceptional communication, mentorship, and problem-solving skills
- A startup mindset - adaptable, execution-focused, and unafraid to get hands-on when needed
Responsibilities
- Architect & Deliver: Design and implement distributed backend systems capable of handling billions of monthly events (e.g., AdTech pipelines, CAMS microservices)
- Build Scalable Data Pipelines: Develop robust ingestion and processing frameworks using Kafka, ClickHouse, and Snowflake, ensuring data quality and schema governance
- Optimize Performance: Lead database optimization efforts across Aurora, Cloud SQL, and PostgreSQL to deliver low-latency, high-availability systems
- Set the Bar for Engineering: Define and enforce best practices around code quality, CI/CD automation, monitoring, and release management
- Lead & Mentor: Guide engineers through architectural decisions, conduct design reviews, and balance workload distribution in an Agile setup
- Drive Cloud Architecture: Design cloud infrastructure on AWS and GCP, with a focus on scalability, cost efficiency, and security compliance
- Collaborate Cross-Functionally: Partner closely with Product Managers and Data teams to evaluate technical feasibility, define milestones, and deliver on roadmap goals
- Champion Reliability: Promote observability and reliability engineering practices, building alerting, tracing, and SLO/SLA dashboards for high system visibility
Skills
Kafka
ClickHouse
Snowflake
Aurora
Cloud SQL
PostgreSQL
AWS
GCP
CI/CD
distributed systems
microservices
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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