Landing Point
DevOps Lead Engineer
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Base pay range $150,000.00/yr - $200,000.00/yr
Company Overview A leading global investment firm with approximately $504 billion in assets under management is seeking a Principal Engineer to lead the architecture and implementation of distributed systems within their Operations technology platform.
Job Responsibilities
Define and lead the technical roadmap for operations and data platforms, ensuring scalability, reliability, and extensibility.
Architect distributed and event-driven systems to support books of record, investment operations, and reference data services.
Lead modernization initiatives leveraging cloud-native technologies, observability, and infrastructure-as-code (AWS/Terraform).
Partner with data engineering and AI teams to productionize AI use cases and services that drive operational automation and insight.
Lead design and development of critical backend components written in Python and related frameworks.
Establish engineering standards, drive best practices, and ensure delivery of high-quality, maintainable systems.
Collaborate closely with product, data, and operations stakeholders to translate business needs into scalable solutions.
Drive continuous improvement initiatives around performance, reliability, and developer experience.
Partner with product and operations leadership to align technical vision with organizational priorities.
Provide architectural guidance across systems integrating financial data, AI services, and internal platforms.
Mentor engineers across multiple teams, fostering deep technical growth and leadership development.
Qualifications
10+ years of software engineering experience, with demonstrated technical leadership.
Expert‑level proficiency in Python, with experience building scalable backend or data systems.
Strong hands‑on experience with AWS (EKS/ECS, Lambda, S3, DynamoDB, CloudFormation/Terraform).
Deep understanding of distributed systems design (microservices, messaging, caching, concurrency, resilience).
Experience building production AI products (e.g., AI‑assisted automation, inference services, or data‑driven decision tools).
Familiarity with AI tooling (e.g., LiteLLM, LangChain, vector databases, LLM APIs) is a plus.
Experience with data modeling and modern data platforms (Snowflake or data lake architectures).
Strong knowledge of relational databases (PostgreSQL, MySQL) and data integrity design.
Background in financial systems or operations technology (accounting, treasury, reference data) is a strong plus.
Excellent communication and leadership skills; proven ability to drive alignment across diverse stakeholders.
Compensation Salary: $150,000 – $200,000, Plus Bonus
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Management and Manufacturing
Industries Staffing and Recruiting
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Base pay range $150,000.00/yr - $200,000.00/yr
Company Overview A leading global investment firm with approximately $504 billion in assets under management is seeking a Principal Engineer to lead the architecture and implementation of distributed systems within their Operations technology platform.
Job Responsibilities
Define and lead the technical roadmap for operations and data platforms, ensuring scalability, reliability, and extensibility.
Architect distributed and event-driven systems to support books of record, investment operations, and reference data services.
Lead modernization initiatives leveraging cloud-native technologies, observability, and infrastructure-as-code (AWS/Terraform).
Partner with data engineering and AI teams to productionize AI use cases and services that drive operational automation and insight.
Lead design and development of critical backend components written in Python and related frameworks.
Establish engineering standards, drive best practices, and ensure delivery of high-quality, maintainable systems.
Collaborate closely with product, data, and operations stakeholders to translate business needs into scalable solutions.
Drive continuous improvement initiatives around performance, reliability, and developer experience.
Partner with product and operations leadership to align technical vision with organizational priorities.
Provide architectural guidance across systems integrating financial data, AI services, and internal platforms.
Mentor engineers across multiple teams, fostering deep technical growth and leadership development.
Qualifications
10+ years of software engineering experience, with demonstrated technical leadership.
Expert‑level proficiency in Python, with experience building scalable backend or data systems.
Strong hands‑on experience with AWS (EKS/ECS, Lambda, S3, DynamoDB, CloudFormation/Terraform).
Deep understanding of distributed systems design (microservices, messaging, caching, concurrency, resilience).
Experience building production AI products (e.g., AI‑assisted automation, inference services, or data‑driven decision tools).
Familiarity with AI tooling (e.g., LiteLLM, LangChain, vector databases, LLM APIs) is a plus.
Experience with data modeling and modern data platforms (Snowflake or data lake architectures).
Strong knowledge of relational databases (PostgreSQL, MySQL) and data integrity design.
Background in financial systems or operations technology (accounting, treasury, reference data) is a strong plus.
Excellent communication and leadership skills; proven ability to drive alignment across diverse stakeholders.
Compensation Salary: $150,000 – $200,000, Plus Bonus
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Management and Manufacturing
Industries Staffing and Recruiting
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