About the role
Shape the future of trust in the age of AI
At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place.
Why join us:
Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer.
Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward.
Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk.
About the Role
Oscilar is growing fast, and so is the complexity of our systems. We’re looking for a experienced SRE to take ownership of reliability across our multi-region, cloud-native platform. You’ll have the mandate and autonomy to design, implement, and evolve systems that stay performant and resilient—through traffic spikes, dependency failures, and global deployments. You’ll be shaping how we scale, how we build observability, and how we run infrastructure that supports billions of events and large-scale data pipelines.
What You’ll Own
Architect and operate resilient cloud infrastructure (AWS, Pulumi, Kubernetes).
Lead initiatives to improve availability, latency, and performance at scale.
Design and evolve our CI/CD pipelines to optimize for speed, safety, and repeatability.
Define the metrics, alerts, and runbooks that form our observability backbone.
Run chaos experiments and failure simulations to harden the platform.
Mentor engineers and set best practices for SRE across the company.
What You Bring
Proven track record as a senior SRE or Infrastructure Engineer in high-scale environments.
Expert-level skills in AWS and Infrastructure as Code (Pulumi, Terraform).
Strong programming ability in Go or Python. We use Go.
Deep understanding of distributed systems (Kafka, ClickHouse) and microservices architecture.
Mastery of container orchestration (Kubernetes) and production debugging.
Strong sense of ownership, and the judgment to balance velocity with reliability.
Benefits
Compensation: Competitive salary and equity packages, including a 401k plan
Flexibility: Remote-first culture — work from anywhere
Health: 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)
Balance: Unlimited PTO policy
Technical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product
Culture: Family-Friendly environment; Regular team events and offsites
Development: Unparalleled learning and professional development opportunities
Impact: Making the internet safer by protecting online transactions
Aplyr's read
Oscilar Inc is at the forefront of data analytics and machine learning, ideal for tech enthusiasts eager to innovate in a dynamic environment.
What's promising
- •Oscilar is pioneering advanced machine learning solutions, attracting top-tier engineering talent.
- •The company offers diverse roles across global locations, indicating strong international growth.
- •Focus on cutting-edge technology projects provides ample learning and innovation opportunities.
What to watch
- •High specialization in machine learning may limit opportunities for those outside this expertise.
- •Rapid growth could lead to organizational and operational challenges.
- •Limited public information about company culture and work-life balance.
Why Oscilar
- •Oscilar's commitment to data analytics innovation sets it apart in the tech industry.
- •The company's global hiring strategy supports a diverse and multicultural workforce.
- •Specialized roles in emerging markets highlight its strategic expansion focus.
Aplyr’s read is generated by AI from public sources. Was it useful?
About Oscilar
Oscilar Inc is a technology company focused on developing innovative solutions in the field of data analytics and machine learning.
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