chaos engineering

Application Architect

posted by: spj_bot

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you.

We are seeking experienced and hands-on software architects with a builders mindset, to lead the modernization, design and build of applications ranging from consumer facing digital applications with real time, high volume, low latency and embedded intelligence, to intelligent operations applications supporting critical decision making and operations used by a range of personas for AI first re-imagined processes.

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Senior Payments Platform Engineer

posted by: spj_bot

Location: London (Office)

On-Site | Full-time

Compensation: $250K - $300K

We are hiring on behalf of our client who is a high-growth development firm behind a market-leading digital asset launchpad. Operating at a massive scale with over $750M in daily trading volume and nearly $1B in revenue generated over the last two years, the organization maintains a lean, high-impact team of fewer than 100 people.

The environment is fast-paced, data-driven, and maintains a high bar for engineering excellence. Decisions are made through experimentation, bureaucracy is kept to a minimum, and engineers are granted end-to-end ownership of their platforms.

Our client is seeking a Senior Payments Platforms Engineer to own and scale the infrastructure backbone powering critical fiat-to-crypto payment flows. This is a senior technical contributor role designed for an expert who builds cloud-native platforms and defines engineering standards to enable high-velocity product teams.

The successful candidate will bring deep experience from a neobank, payment service provider (PSP), or tier-1 financial institution. This individual will be responsible for ensuring that cloud infrastructure remains reliable, scalable, and compliant under real-world financial constraints and rigorous regulatory expectations.

Job Skills

dss bank infrastructure architecture massive chaos engineering trading volume python network architecture reliable best practices operations networking storage financial service product teams compute networking e financial system manage subnets security policy disaster recovery scalable test harness operational kms m build automated kubernetes automated opensearch financial institution cloudwatch post mortems stakes integrations track incident response mentorship terraform reliability VPC cloud native reconciliation managed securely api gateway digital asset blockchain operating compute cloud infrastructure active active active network security resilience postgresql load test cost engineering operate data management MSK platform management service provider PCI management plaid backend aurora tooling enforce rust payment service provider high frequency stripe kms literacy audit infrastructure as code experimentation failover infrastructure containerization scale applicable data
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Dynatrace Observability Engineer

posted by: spj_bot

Dynatrace Observability Engineer

Location: Mclean, VA – Local Candidates Only

Job Function: Information Technology

Industry: IT Services

Our firm has been retained to find a highly skilled Dynatrace Observability Engineer to design, implement, and optimize a world-class enterprise observability ecosystem. In this role, you will be the technical lead for our client's visibility strategy, leveraging Dynatrace’s APM, Infrastructure Monitoring, RUM, and Davis AI capabilities to ensure system reliability and proactive incident detection across hybrid and multi-cloud environments.

You will collaborate directly with SREs, DevOps, Cloud Engineering, and business stakeholders to build scalable solutions that empower faster troubleshooting and data-driven decision-making.

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