Platform Engineer II (Observability) at Iterable

, , United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

188000.0

Posted On

17 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Kubernetes, Docker, AWS, Terraform, Helm, GitOps, Python, Go, Datadog, Prometheus, Elastic, OpenTelemetry, CI/CD, DevOps, Observability, Telemetry

Industry

Software Development

Description

Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences. Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work. With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together! How you will make an impact: At Iterable, the Observability team enables engineering teams to measure, diagnose, and improve system health. We own and evolve Iterable’s monitoring, logging, tracing, and metrics platforms—turning raw telemetry into actionable insight. As a Platform Engineer II – Observability on our tight-knit team, you’ll drive reliability by implementing modern monitoring, automation, and orchestration practices that keep our systems performing at their best. What you’ll do Own the full observability stack (Datadog, Prometheus, Grafana, Elasticsearch, Quickwit, OpenTelemetry)—design, deploy, and scale it to support petabyte-scale telemetry. Instrument and automate monitoring, logging, tracing, and metrics to ensure system visibility across 100+ services and multiple Kubernetes clusters. Ship platform features—contribute code that boosts reliability, performance, and developer experience across Iterable. Partner with engineering teams to improve instrumentation, refine dashboards/alerts, and embed observability into their SDLC. Reduce MTTR & cost—design cost-effective telemetry pipelines and create high-signal, low-noise alerting strategies. Participate in our on-call rotation that prioritizes recovery, postmortems, and continuous improvement What we’re looking for 2+ years of professional software or infrastructure, SRE experience Hands-on work with Kubernetes (and Docker) in production. Deep experience with at least one cloud provider (AWS preferred) and Infrastructure-as-Code (Terraform, Helm, GitOps). Strong programming/scripting skills in Python, Go, or similar. Experience using or supporting observability platforms (Datadog, Prometheus, Elastic, OpenTelemetry, etc.) in a production environment Familiarity with CI/CD pipelines and modern DevOps practices. A growth mindset, humility, and a desire to elevate those around you. Bachelor’s degree in CS/Engineering — or the equivalent real-world experience. Bonus Points Built or run OpenTelemetry Collectors at scale Operated large K8s clusters or written controllers/operators Experience with GitOps Designed and executed observability cost optimization initiatives. Experience in distributed tracing and high-cardinality metrics strategies. Perks & Benefits: Paid parental leave Competitive salaries, meaningful equity, & 401(k) plan Medical, dental, vision, & life insurance Balance Days (additional paid holidays) Fertility & Adoption Assistance Paid Sabbatical Flexible PTO Monthly Employee Wellness allowance Monthly Professional Development allowance Pre-tax commuter benefits Complete laptop workstation The US base salary range for this position at the start of employment is $114,000 - $188,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations. Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition we offer perks such as generous stipends for health & fitness and learning & development, among others. Recruitment Disclaimer: Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not: Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc. Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.). Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable. You may see all job vacancies on our official Iterable channels: Official Iterable website, Careers page: https://iterable.com/careers/ Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/ Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer. Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors. Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.

Responsibilities

As a Platform Engineer II – Observability, you will own the full observability stack and drive reliability by implementing modern monitoring and automation practices. You will partner with engineering teams to improve instrumentation and ensure system visibility across multiple services and Kubernetes clusters.