Forward Deployed Software Engineer (Data)

Lead the ML lifecycle from data ingestion to retraining.

Build and maintain CI/CD pipelines for ML models.

Ensure platform reliability and scalability

Implement observability and drive faster response

Architect, build, and operate AWS-based infrastructure

Drive reliability, security, and scalability

Build and enhance React front-end app

Develop and maintain backend services

Architect and operate production infra

Implement AWS and Kubernetes for infra

Design a structured and configurable evaluation engine with precision

Combine deterministic checks with LLM-as-judge verdicts

Provide technical support for Cribl Stream and products

Diagnose and troubleshoot customer issues

Ownership of data products for decision-making insights

Collaboration with data scientists, engineers, and stakeholders

Lead and grow global AWS alliance within Financial Services sector

Define and scale Capco's global AWS relationship with strategic ownership

Own data products and deliver insights to drive business decisions

Lead requirements elicitation and collaborate with data teams

Develop next-gen automation platforms

Design resilient multi-cloud architectures

Lead development of critical VA healthcare systems

Build and modernize microservice REST APIs and Java apps

Lead and manage a cloud engineering team

Focus on performance, security, and reliability in cloud service development

Lead and conduct advanced penetration testing

Exploit security flaws and misconfigurations

Develop cutting-edge voice cloning solutions

Implement low latency text-to-speech systems

Design, build, and maintain scalable distributed backend systems

Work closely with product and engineering teams

Lead and grow engineering team

Build tooling with AI integration

Advise on tech support and product adoption for customers

Maximize Datadog value by analyzing IT Operations environments

Develop and maintain Java applications for high-performance systems

Build event-driven microservices using Kafka

Build scalable frontend systems and components

Collaborate with product and design for high-performing apps

Containerize and deploy microservices using Kubernetes on AWS

Maintain live production systems and improve processes with Docker/Kubernetes

Tackle complex problems with teammates

Leverage foundation models and RLHF

Design, scale, and ship reward signals for recommendations

Lead cross-team work to test mid-term signals in recommendation systems

Develop AI model serving capabilities

Implement low latency text-to-speech functionality

Analyze threat actor behavior and evolving abuse patterns

Research, prototype, and implement LLM-driven techniques for abuse detection

Serve as primary security representative in engagements

Articulate security architecture and risk management approach

Design, build, and maintain scalable distributed backend systems.

Work closely with product and engineering peers to shape product decisions.

Lead advanced penetration testing activities

Provide expert security guidance

Lead design and development of Java backend services

Architect and optimize mission-critical workflows

Lead day-to-day technical execution for team

Design, build, and maintain backend services with Node.js

Design and build scalable backend services and APIs for mobile platform

Improve reliability, performance, and observability across the stack

Designing, developing, and maintaining scalable backend services and APIs in Java

Leading technical design discussions and making architectural decisions

Design and build new features for MongoDB Atlas

Lead technical projects and collaborate with teams

Build new product versions with an interdisciplinary team

Provide technical support and guidance for existing systems

Lead strategic offensive security initiatives

Test detection capabilities through red team engagements

Provide strategic consulting and thought leadership for key accounts

Support partner sales; drive alignment with LivePerson solutions

Develop secure and accessible iOS apps compliant with HIPAA/WCAG.

Collaborate across teams for end-to-end feature ownership.

Lead and scale a large engineering organization

Improve execution, velocity, and product quality

Deliver infrastructure projects end-to-end

Improve platform primitives and observability

Lead design and development of Java-based backend services

Architect and optimize high-throughput platform components

Represent organization's security posture to customers

Drive technical security discussions

Develop and optimize AI model serving infrastructure

Implement low latency and cost-effective text-to-speech solutions

Lead advanced white-box penetration testing

Exploit security flaws in cloud infrastructures and Kubernetes clusters

Design and maintain scalable distributed backend systems

Shape product decisions with product and engineering peers

Analyze threat actor behavior and abuse patterns

Develop state-of-the-art techniques for abuse detection

Lead technical discovery for Platform Eng, DevOps, Security, and AI/ML.

Design PoCs focused on AI governance and supply chain value.

Lead design and development of distributed cloud-native backend services

Define data model and APIs for the single system of record

Work with clients on big data challenges

Provide data engineering, data science, and cloud projects

Develop and maintain GNSS flight and ground software

Collaborate with flight ops and science teams

Leading design and development of Java backend services

Optimizing platform components for high performance