Software Engineer (ML) | $130K-$150K + Hybrid + Equity | SaaS Outage and Business Intelligence Company

Make Your Code Matter. Really Matter.

WHAT IF YOUR CODE HELPED KEEP HOSPITALS RUNNING, EMERGENCY SERVICES CONNECTED, OR GROCERY STORE SUPPLY CHAINS UNINTERRUPTED? THAT’S THE KIND OF REAL-WORLD IMPACT YOU’LL HAVE HERE.

Our client is a fast-growing B2B SaaS outage intelligence company that helps major enterprises reduce downtime through cutting-edge automation. Their platform delivers 99% accurate, real-time power outage detection, trusted by 80% of the Fortune 500 in telecom, including AT&T, Telus, and Kroger.

We keep critical infrastructure online during high-stakes moments. We solve real, physical-world problems - not just code running in a cloud environment. This is an exciting growth opportunity with career advancement where you can make a real impact - we are innovating on our current offerings and have plans to launch new products in the near future.

Why this role matters

• Impact: Your automation, tools, and fixes will directly improve customer experience and reduce costly operational overhead.
• Variety: One day you’ll build a small product feature requested by a customer; the next, you’ll harden a microservice or automate a runbook.
• Growth: This is a career-accelerating place for engineers who want to learn product, infra, and ops while remaining hands-on.
• Culture: Low-ego, high-ownership, and wildly collaborative — you’ll work with Customer Success, Sales Engineering, and Product.

Benefits:

• Competitive compensation
• Full medical, dental, and vision insurance
• AD&D and life insurance
• Equity in a fast-growing SaaS company
• Unlimited PTO

As a Software Engineer focused on customer solutions and operational tooling, you’ll be the engine that helps internal teams and customers get value quickly. 

Responsibilities:

• 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.
• 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.

• 4-8+ years of software engineering experience.
• 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.).
• 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 don’t 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.

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.

Please send your resume and a short note describing a recent production incident you triaged or a support automation you built.

About SaaS Talent

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Reach out to us at www.saas-talent.com to learn more about how we can help you.

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