Sr. Platform Engineer
$145k - $165kMantl
Sr Platform Engineer
Alkami is the digital sales and service platform provider for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing—each solution can stand alone, but together they deliver more—to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action.
Founded in 2009, we continue to be recognized for our intentional culture and tremendous growth. We're building a culture where each Alkamist can perform to their highest potential, and we're always on the lookout for the best and brightest minds. If you're ready to experience the power of alchemy - transforming the ordinary into the extraordinary - come join one of the fastest growing SaaS companies in the U.S.
As a remote-first company, most of our positions can be remote in the US, except for key roles, which will be indicated in the Job Title.
Essential Duties & Responsibilities
Investigate, troubleshoot, and resolve reliability issues within MANTL platform application code, including microservice communication failures and correctness issues that emerge under failure conditions.
Identify and address failure modes across the platform's third-party and internal system integrations, developing resilience strategies suited to each integration's specific behavior.
Design, configure, and maintain monitoring, dashboards, and alerting (Datadog preferred) to increase visibility into platform health and surface emerging issues before they become incidents.
Implement and extend distributed tracing across microservices to accelerate root-cause identification for cross-service failures.
Diagnose and remediate application performance issues, including caching strategy, inefficient code paths, and query performance.
Harden platform and application components against known failure modes through fault-injection and resilience testing, implementing defensive design patterns to prevent recurrence.
Build, maintain, and troubleshoot CI/CD build pipelines (GitHub Actions) supporting deployment of the platform.
Deploy and troubleshoot container-native (Kubernetes) workloads as part of diagnosing and resolving platform reliability issues.
Maintain and execute against a roadmap of known reliability risks, independent of feature-delivery timelines.
Create and maintain documentation and runbooks covering platform reliability issues, root causes, and remediations.
Act as an escalation point for complex platform reliability issues, partnering with Cloud Infrastructure Engineering and application engineering teams on issues that cross domain boundaries.
Contribute to defining reliability targets (SLOs/SLIs) for key platform services.
Recommended Experience & Education
Minimum Years of Experience
4 to 7 years of experience in software engineering, platform engineering, or a hybrid development/reliability engineering role.
Education Level
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
Knowledge, Skills, & Qualifications
Required
- Strong proficiency in TypeScript, with production experience in a Node.js/TypeScript service environment.
- Hands-on experience deploying and troubleshooting containerized workloads in Kubernetes.
- Experience building and maintaining CI/CD pipelines, GitHub Actions preferred.
- Experience configuring monitoring, dashboards, and alerting in an APM/observability tool, Datadog preferred.
- Experience troubleshooting distributed system and microservice communication failures across a variety of integration points and protocols.
- Experience with distributed tracing tools and practices.
- Working familiarity with relational databases, sufficient to spot and tune slow or problematic queries.
- Experience diagnosing and resolving application performance issues (caching, inefficient code paths, slow queries).
- Experience designing for and testing failure modes (fault injection, resilience/chaos-style testing) and implementing defensive patterns such as idempotency, retries, and circuit breakers.
- Strong analytical and troubleshooting skills; ability to work independently on ambiguous, reactive reliability problems.
- Ability to communicate technical root cause and remediation plans clearly to both engineering and non-technical stakeholders.
Preferred
- Experience with message brokers or event-streaming platforms such as Kafka.
- Experience with OpenTelemetry or comparable distributed tracing frameworks.
- Experience in a regulated or compliance-driven environment (fintech, banking, or similar).
- Familiarity with infrastructure-as-code tooling (Terraform or similar).
- Experience partnering with infrastructure/SRE teams on issues that cross application and infrastructure boundaries.
The salary range for this position is: $145,000 - $165,000
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