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The role what youll do
As a Software Engineer focused on customer solutions and operational tooling youll be the engine that helps internal teams and customers get value quickly. Youll:
Automate and streamline operational processes to maximize the efficiency of Customer Success and Sales Engineering.
Monitor production systems and proactively detect issues before customers call.
Build customer-requested features and small integrations that directly improve time-to-value.
Triage investigate and resolve customer-reported incidents with urgency and clear communication.
Analyze operational data to create dashboards and insights that inform product and support decisions.
Implement and maintain tooling that improves observability reliability and deployment velocity.
Partner closely with backend product and support teams to drive fast reliable fixes and enhancements.
Responsibilities
Customer incidents are resolved faster and with fewer escalations.
Repetitive manual tasks are automated and removed from the support workflow.
Production monitoring surfaces actionable signals (not noise).
Feature requests from Sales/CS get delivered reliably and with strong quality.
You are trusted by customer-facing teams as the engineer who gets things done.
Qualifications :
3-5 years backend or full-stack software engineering experience (customer-facing or operational roles) candidates with more experience are welcome.
Strong production experience in Python 3 (preferred) or another mature backend language.
Solid practical knowledge of relational databases (PostgreSQL) and writing performant SQL.
Experience in diagnosing distributed systems and triaging production incidents.
Comfortable working in Kubernetes environments microservices and asynchronous workers.
Experience with message systems (AMQP RabbitMQ Kafka etc.) or background job systems.
Exposure to monitoring/observability tooling and building operational dashboards (Grafana Prometheus DataDog etc.).
Nice-to-haves
Direct experience handling large real-time data flows or streaming telemetry.
Background in data intelligence infrastructure or a B2B SaaS company.
Experience building internal tooling for Customer Success or Sales Engineering.
Familiarity with CI/CD infra-as-code (Terraform) and containerized deployments.
Strong SQL data analysis skills for ad-hoc investigations.
Required soft skills (non-negotiable)
High sense of urgency you prioritize customer impact and move quickly on issues.
Excellent communicator you can explain complex technical issues clearly to non-technical stakeholders.
Ownership mentality you dont pass the buck; you drive issues through to resolution.
Problem-solving you analyze root causes and deliver durable fixes (not band-aids).
Collaborative and coachable you work closely with cross-functional teams and learn fast.
Please send your resume and a short note describing a recent production incident you triaged or a support automation you built.
Additional Information :
About SaaS Talent
SaaS Talent is more than just a recruiting company. Were your hiring business development and growth partner with 20 years of experience in SaaS and Hi-Tech that helps you scale and transform your business. Weve worked with 100 companies and helped them achieve their goals. From streamlining sales marketing and operations to hiring ideal talent and getting funding if youre struggling to grow were an ideal choice.
Reach out to us at to learn more about how we can help you.
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Employment Type :
Full-time
Full-time