Staff Site Reliability Engineer, Altana AI
$170-220k
+ Discretionary bonus & Equity for eligible roles
Occasional travel as needed
Supply chain visibility platform
Be an early applicant
Supply chain visibility platform
101-200 employees
Be an early applicant
$170-220k
+ Discretionary bonus & Equity for eligible roles
Occasional travel as needed
101-200 employees
Company mission
Altana AI's mission is to improve global commerce.
Role
Who you are
- 5+ years of hands-on experience in a Site Reliability Engineering (SRE), DevOps, or equivalent role focusing on production system reliability and operations
- Strong understanding and practical application of Site Reliability Engineering (SRE) principles, including SLOs, error budgets, toil reduction, and blameless culture
- Expertise in designing, implementing, and managing observability platforms for cloud-native environments (e.g., Prometheus, Grafana, Datadog, ELK stack, OpenTelemetry, Jaeger)
- Proficiency in at least one programming/scripting language (e.g., Python, Go) for automation and tool development
- Extensive hands-on experience with cloud platforms (AWS, Azure, or GCP), including their compute, networking, and database services
- Demonstrated experience with containerization technologies (Docker) and container orchestration platforms (Kubernetes)
- Experience with Infrastructure as Code (IaC) tools (e.g., Terraform, OpenTofu, CloudFormation) for managing cloud resources
- Proven experience participating in and improving incident management processes for critical systems
- Knowledge of modern software delivery paradigms, including microservices architectures and CI/CD pipelines
- Excellent problem-solving, analytical, and troubleshooting skills in complex distributed systems
- Strong communication and collaboration skills, with the ability to work effectively across engineering teams
- Experience with data engineering concepts, including building or operating reliable data pipelines, data streaming technologies, or managing large-scale data infrastructure
What the job involves
- As a Staff Site Reliability Engineer, you will be instrumental in ensuring the availability, performance, and scalability of Altana’s critical production services, with a strong focus on our cloud-native environments and data pipelines
- You will apply Google-style SRE principles, embedding reliability into our architecture and operations through automation, proactive monitoring, and a commitment to reducing toil
- You will work hands-on with engineering teams, influencing system design for operability and contributing to the development of robust, self-healing infrastructure
- This role emphasizes a deep understanding of observability practices to gain comprehensive insights into system behavior, proactive incident prevention, and efficient incident response
- Success will be measured by the resilience of our production systems, the effectiveness of our observability stack, and our continuous improvement in operational efficiency and reliability
- Reliability Engineering: Champion and implement SRE principles, including establishing and monitoring Service Level Objectives (SLOs) and error budgets for critical services
- Drive initiatives to improve system reliability, availability, performance, and efficiency
- Observability & Monitoring: Design, implement, and maintain advanced monitoring, logging, and tracing solutions for our cloud-native applications and infrastructure (e.g., Kubernetes, microservices)
- Develop dashboards, alerts, and runbooks that provide deep insights into system health and behavior
- Automation & Toil Reduction: Identify and automate repetitive operational tasks and manual processes across our production environment
- Develop tools and scripts to enhance system operations, deployment pipelines, and incident response
- Incident Management & Postmortems: Actively participate in the incident response lifecycle, including detection, triage, mitigation, and resolution of production issues
- Lead thorough blameless postmortems to identify root causes and implement preventative measures and lasting improvements
- System Design & Optimization: Collaborate closely with development teams to influence the design of new services, ensuring they are built for operability, reliability, and cost-efficiency
- Proactively identify and address performance bottlenecks and architectural weaknesses
- On-Call Rotation: Participate in a periodic on-call rotation, responding to critical alerts and ensuring rapid resolution of production incidents
- Data Reliability: Implement and maintain reliability and observability for critical data pipelines and data infrastructure, ensuring data integrity, availability, and timely processing
Our take
Altana AI’s platform provides a shared source of truth for the global supply chain. The idea is that this will help businesses and governing powers optimize global commerce which, over the past few years, has shot up on the list of international priorities. With three quarters of businesses reporting recent supply chain disruptions, and governments increasingly concerned with mitigating security threats, data-driven visibility is more sought after than ever before.
Crucially, the platform doesn’t require data sharing to create global intelligence, instead using a federated machine learning approach. This is a nut many big-data companies have been trying to crack, and Altana AI’s success has attracted the company interest from top-tier investors like Google Ventures and Floating Point alongside contracts with the UK Department of Business & Trade. A number of other headline enterprises and government agencies are already on the company's customer roster.
With companies looking to recoup some of the $4 trillion reportedly lost in supply chain disruptions over recent years, and the push for global databases getting stronger, logistics startups are having a fruitful investment period. Altana is crafting a remarkable product at a highly marketable time, and with good uptake so far. Backed by substantial funding, Altana is set for a strong few years.
Steph
Company Specialist at Welcome to the Jungle
Insights
26% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jul 2024
$200m
SERIES C
Oct 2022
$100m
SERIES B
Total funding: $323.5m
Company benefits
- Comprehensive healthcare package
- Paid parental leave of 3 months for the primary caregiver and 1 month for the secondary caregiver
Company HQ
Financial District, New York, NY
Leadership
Raphael Tehranian
(COO)Previously an analyst with J P Morgan, pivoting to engagement at Cleantech Group and then corporate tech strategy with Suncor Energy. After a spell as an investor at Fuller Smith, spent time with global supply chain analytics company Panjiva as a management advisor.
Peter Swartz
(Chief Science Officer)An MIT grad in political science who went on to work as Head of Data Science at Panjiva.
Evan Smith
(CEO)A Yale economics graduate with experience in renewables at Imperium Renewables and Verno Systems, the latter of which they co-founded. Served as a partner at Fuller Smith, before moving on to work in a management advisor role at Panjiva.
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