The Data Engineering & Infrastructure Lead will audit AWS architecture, CI/CD processes, and ETL pipeline decisions while mentoring the engineering team. They will report findings directly to leadership and provide technical direction for infrastructure builds.
Design and maintain scalable automation frameworks for both Web and API layers while defining the overall automation strategy. Mentor team members on testing best practices and ensure high test coverage within squads.
Lead the design and execution of roadmap enhancements for an enterprise loyalty platform while managing business logic and product backlogs. Translate complex requirements into precise specifications to guide automated and AI-assisted development workflows.
The engineer will integrate security gates into CI/CD pipelines and tune security scanning tools to reduce false positives. They will also collaborate with development teams to provide code-level remediation guidance for Java and Python applications.
The engineer will integrate security controls like SAST, DAST, and SCA into CI/CD pipelines and tune scanning tools to reduce false positives. They will also collaborate with development teams to provide code-level remediation guidance for Python and Java applications.
You will design, build, and maintain cloud infrastructure using Terraform and GitOps practices for Kubernetes deployments. Additionally, you will manage system observability and implement high availability and disaster recovery strategies.
You will design, build, and maintain cloud infrastructure using Terraform and GitOps practices for Kubernetes deployments. Additionally, you will manage system observability using Grafana, Loki, Thanos, and Tempo while ensuring high availability and disaster recovery.
Integrate security gates like SAST, DAST, and SCA into CI/CD pipelines while tuning tools to reduce false positives. Collaborate with development teams to provide actionable, code-level remediation guidance for Java and Python applications.
You will integrate security gates into CI/CD pipelines and tune security scanning tools to reduce false positives. Additionally, you will collaborate with development teams to provide code-level remediation guidance for Java and Python applications.
The Senior Product Owner will define the strategic vision and backlog for internal security tools and developer portals. They will bridge the gap between executive security mandates and Agile execution pods to reduce systemic risk and developer friction.
The Senior Product Owner will define and prioritize the strategic vision and backlog for internal security tools and developer portals. They will bridge the gap between executive security mandates and Agile execution pods to reduce systemic risk and developer friction.
Provision, manage, and scale cloud infrastructure with Terraform, and maintain production Kubernetes clusters through declarative GitOps workflows. Develop Python automation and operate observability tools for metrics, logs, and tracing, while implementing and testing high-availability and disaster-recovery strategies.
Build and execute regression, smoke, integration, and performance automation scripts to ensure software quality. Collaborate with product and customer-facing teams to document feature behavior and address defects throughout the SDLC.
The Senior BI Product Manager will act as a subject-matter expert connecting financial data to business decisions across Quote-to-Cash and Order-to-Cash processes. They will build relationships with internal teams to surface operational friction and translate these pain points into actionable BI, Machine Learning, and AI opportunities.
The Senior BI Product Manager will act as a subject-matter expert connecting financial data to business decisions by mapping processes across Sales, Legal, and Accounting. They will author PRDs and roadmaps while partnering with technical teams to translate operational pain points into BI and AI/ML solutions.
Build and maintain dashboards and optimized data pipelines to analyze large-scale IT infrastructure, asset, and operational risk data. Work with customers, business partners, and engineering teams to define requirements, solve complex data challenges, improve data quality, and apply AI tools to analytical workflows.
Design, build, and maintain interactive dashboards to visualize large-scale IT infrastructure and asset data. Develop and optimize ETL/ELT pipelines while collaborating with stakeholders to resolve complex data challenges.
Lead product integration and AWS-to-GCP migration programs across engineering, cloud, data, testing, and product teams, coordinating workstreams, dependencies, validation, and production readiness. Track milestones, risks, and blockers; communicate progress and decisions to stakeholders and senior management; and improve execution through AI-assisted tools and automation.
Lead end-to-end technical programs, including product integration and complex AWS-to-GCP cloud migrations. Coordinate across distributed engineering teams to manage dependencies, technical blockers, and project milestones.
Lead end-to-end technical programs for product integration and an AWS-to-GCP migration, coordinating engineering, cloud, data, testing, and product teams. Break initiatives into workstreams and milestones, manage dependencies and risks, unblock technical issues, and report progress and readiness to stakeholders.
Lead end-to-end technical programs, including product integration and complex AWS-to-GCP cloud migrations. Coordinate engineering teams, manage technical dependencies, and ensure transparent reporting to senior stakeholders.
Manage device and asset lifecycles, user support, access provisioning, and IT service workflows for a remote-first team. Maintain endpoint security and compliance, improve and automate IT processes, and report on support metrics and recurring issues.
Design, build, and maintain scalable platform services while managing cloud resources and service boundaries. Monitor system performance to identify bottlenecks and implement infrastructure-level improvements to support company growth.
The Senior Product Owner will define the strategic vision and backlog for internal security tools and developer portals to reduce systemic risk. They will bridge the gap between executive security mandates and engineering execution while driving the adoption of policy and tooling changes.
You will architect, deploy, and maintain scalable cloud infrastructure and CI/CD solutions on Google Cloud Platform. Additionally, you will manage containerized workloads, optimize resource allocation, and integrate security compliance into DevOps workflows.
Design and build secure, scalable server-side solutions and a client integration system from the ground up. Collaborate with cross-functional teams to plan sprints, estimate work, and ensure high-quality delivery through code reviews and documentation.
Design and build secure, scalable server-side solutions and a client integration system. Collaborate with design and product teams to plan sprints and meet delivery timelines.
The analyst will develop reporting tables and dashboards to track subscription and promotional performance while providing actionable insights for revenue management. They will also conduct variance analysis on financial reports and collaborate with cross-functional teams to understand customer behavior.
Design, build, and maintain scalable platform services to support company growth while managing cloud resources and service boundaries. Monitor system performance to identify bottlenecks and implement infrastructure-level improvements to ensure operational excellence.
Architect, deploy, and maintain scalable GCP cloud infrastructure and CI/CD pipelines using automation tools like Terraform. Manage containerized workloads on GKE and Cloud Run while optimizing for performance, security, and cost efficiency.
Define and prioritize the strategic vision and backlog for internal security tools and developer portals to reduce systemic risk. Bridge the gap between executive security mandates and Agile execution pods while ensuring new solutions minimize developer friction.
Design and build production-ready agentic workflows and products that coordinate tools, services, data, and human approvals, and integrate agents into development and operational processes. Establish standards for orchestration, evaluation, reliability, security, and governance while mentoring engineers and shaping the organization’s agentic-first strategy.
Design and build agentic workflows that coordinate tools, services, and human approvals for enterprise products. Establish standards for agent evaluation, reliability, and governance while mentoring engineers on agentic-first strategies.
You will design and build agentic workflows that coordinate tools, services, and human approvals while developing reusable patterns for agent orchestration. Additionally, you will integrate these agents into the software development lifecycle and mentor engineers to shape an agentic-first technical strategy.
Design, build, and maintain scalable Python microservices and REST APIs, including database schemas, optimized queries, third-party integrations, and secure, high-availability systems. Maintain code quality through testing and reviews, develop Docker-based CI/CD workflows, and collaborate with cross-functional teams while mentoring engineers.
The Senior Data Engineer will audit AWS architecture, CI/CD pipelines, and data ingestion strategies while providing technical direction. They will also mentor the engineering team and report findings directly to leadership.
Design, build, and maintain scalable Python microservices and REST APIs, including database schemas, optimized queries, and integrations with third-party services. Improve code quality and deployment pipelines, uphold performance and security standards, collaborate across product, frontend, and DevOps teams, and mentor other engineers.
Design, build, and maintain high-performance, scalable microservices and RESTful APIs using Python. Collaborate with cross-functional teams and mentor junior engineers to ensure code quality and system scalability.
Lead the deployment and operationalization of a new Kubernetes-based cloud environment on AWS. Partner with cross-functional teams to implement platform standards, automation, and reliability practices.
Design and maintain scalable automation frameworks for both Web and API layers from scratch. Define automation strategy and mentor team members to foster a quality-first culture.
You will design and manage cloud infrastructure, CI/CD pipelines, and observability stacks for Data and AI teams. Additionally, you will lead incident response efforts and collaborate with cross-functional teams to ensure system reliability and security.
You will design, build, and maintain a robust custom Python backend for an internal developer portal while leveraging AI coding tools to streamline development. You will also collaborate with cross-functional teams to integrate diverse database environments and manage CI/CD pipelines for smooth deployment.
You will design, build, and maintain a robust custom Python backend for an internal developer portal while leveraging AI coding tools to streamline development. Additionally, you will collaborate with cross-functional teams to integrate diverse database environments and ensure high code quality through testing and peer reviews.
The developer will design, build, and maintain a custom Python backend for an internal developer portal while leveraging AI coding tools. They will also collaborate with cross-functional teams to ensure code quality through testing and performance optimization.
You will build and scale an event-driven integration platform, including APIs, resilience mechanisms, and AI-facing integrations. You will also own the end-to-end quality of your code, including reviews, testing, and production support.
You will build and scale an event-driven integration platform, including APIs, resilience mechanisms, and AI-facing integrations. You will also modernize legacy integrations and ensure high-quality code through testing, observability, and production support.
You will build and scale an event-driven integration platform, including APIs and resilience mechanisms for ITSM platforms. You will also develop GenAI-facing integration surfaces and modernize legacy integrations while ensuring high-quality code and system observability.
You will own and operate the Kafka infrastructure, ensuring platform resilience, reliability, and efficient event-driven integration. Additionally, you will manage build and release pipelines, automate environment provisioning, and collaborate with developers to optimize performance and cost.
The Site Reliability Engineer will operate and maintain a Kubernetes-based API platform across public and private cloud environments. They will also manage incidents, build automation tooling, and ensure platform scalability through proactive capacity management.
The Site Reliability Engineer will operate and maintain a Kubernetes-based platform across public and private cloud environments. Responsibilities include managing incidents, building automation tooling, and ensuring platform scalability and performance.
The Infrastructure Engineer will own and operate the Kafka estate, ensuring platform resilience, reliability, and efficient event-driven integration. They will also manage build and release pipelines, automate environment provisioning, and collaborate with developers to optimize performance and cost.
The Infrastructure Engineer will own and operate the Kafka estate, ensuring platform resilience, reliability, and efficient event-driven integration. They will also manage build and release pipelines, automate environment provisioning, and collaborate with developers to optimize performance and cost.
Screen candidates and assess their skills, experience, and cultural fit. Source candidates through online platforms, networking, and referrals, maintain accurate candidate records, and build a high-quality pipeline for client positions.
Screen candidates and assess their skills, experience, and cultural fit while building a high-quality pipeline for client positions. Source candidates through online platforms, networking, and referrals, and maintain accurate candidate data and progress tracking.
The Talent Acquisition Specialist will source and screen IT candidates to build a high-quality pipeline for critical roles. They will also manage candidate data and assess applicants for skills, experience, and cultural fit.
Manage infrastructure as code and deployment pipelines while developing backend and integration services for an identity and entitlement platform. Migrate systems to a backward-compatible API layer, support cutovers and rollback readiness, validate permissions, and assist with data migration, QA, and UAT.
Develop and maintain secure, efficient data pipelines and infrastructure for HR data using tools like DBT, Python, and AWS. Design semantic layers and deploy AI agents to enable natural-language querying of HR data for internal teams.
You will design and maintain the enterprise knowledge graph and AI context layer to ground search and agent responses. Additionally, you will build and manage AI agents, workflows, and connectors while ensuring platform reliability, security, and scalability.
Architect and build low-latency APIs and backend services using .NET while developing user interfaces with Angular. Manage the production lifecycle of services using CI/CD pipelines and ensure high code quality through rigorous test automation and peer reviews.
Design and build scalable platform features across React and Ruby on Rails, translating wireframes into production-ready functionality. Collaborate with product management, technical leads, data science, design, and stakeholders to estimate work, improve development practices, communicate project status, and participate in an on-call rotation.
Design, build, and maintain scalable, performant, and reliable software systems while contributing to system architecture. Collaborate with cross-functional teams to handle operational tooling, compliance, and engineering maintenance tasks.
Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL. Build and operationalize agentic workflows to automate data engineering processes such as validation, troubleshooting, and workflow execution.
Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL. Build and operationalize agentic workflows to automate data engineering and operational processes such as validation and troubleshooting.
You will document and replace legacy third-party data ingestion tools with a custom, owned ETL pipeline built within an AWS environment. Additionally, you will collaborate with data science teams to ensure output aligns with downstream attribution and scoring logic.
Lead the design and execution of roadmap enhancements for an enterprise loyalty platform while managing the product backlog and business logic. Translate complex requirements into precise specifications to guide automated and AI-assisted development workflows.
You will lead the Shopify e-commerce practice by architecting solutions, mentoring developers, and establishing technical standards. Additionally, you will serve as the primary client contact, translating business goals into technical roadmaps and supporting sales discovery calls.
You will architect and oversee Shopify stores, applications, and custom integrations while providing strategic guidance on conversion optimization and performance. Additionally, you will lead development teams, mentor developers, and serve as the primary contact for a portfolio of clients to translate business goals into technical roadmaps.
The Senior Application Security Engineer will deploy and tune security scanning tools while integrating security controls into CI/CD pipelines. They will also conduct threat modeling to identify vulnerabilities and collaborate with engineering teams to drive remediation efforts.
The Business Analyst will assess existing reporting portfolios to define a future-state reporting strategy and governance model. They will translate complex stakeholder needs into structured functional requirements and maintain a reporting catalog to ensure data consistency and business value.
The Business Analyst will assess existing reporting portfolios to define a future-state reporting strategy and governance model. They will translate complex stakeholder needs into structured functional requirements and maintain a reporting catalog to ensure data quality and consistency.
The Data Architect will design and implement robust data architectures within the Adobe Experience Platform, focusing on RTCDP and AJO solutions. They will also manage XDM schemas, configure data ingestion pipelines, and define identity resolution frameworks to create unified customer profiles.
You will design and maintain secure data pipelines and semantic layers to make HR data consumable by BI tools and AI agents. Additionally, you will develop and deploy AI agents and infrastructure to support data extraction, transformation, and loading processes.
The Sales Executive will manage the full client lifecycle, from lead generation and pitching to contract drafting and delivery handoff. They are responsible for identifying market trends, building client relationships, and representing the company at networking events and client sessions.
The Business Analyst will assess existing reporting portfolios to define a future-state reporting strategy and governance model. They will translate complex stakeholder needs into structured functional requirements and maintain a comprehensive reporting catalog.
You will configure and maintain cloud telephony platforms, including call routing, IVR flows, and outbound dialers. Additionally, you will collaborate on Salesforce integrations and provide production support to ensure system reliability.
You will configure and enhance Salesforce solutions to support sales and marketing operations, including lead management, automation, and reporting. Additionally, you will translate business requirements into scalable configurations and support the deployment and testing of new features.
Design and continuously improve the enterprise context and knowledge graph, retrieval systems, connectors, and AI agents, ensuring quality, security, scalability, and preservation of source-system permissions. Administer AI and collaboration platforms, establish evaluation and incident-response practices, and enable teams to maintain context and scope AI use cases through reusable tools and guidance.
The engineer will automate security controls and integrate security scanning tools like SAST, DAST, and SCA into CI/CD pipelines. They will also work with development teams to provide code-level remediation guidance and tune security tools to reduce false positives.
The Software Architect will assess the current platform architecture to identify technical debt and define a target-state design for an FDA-regulated SaaS product. They will provide technical leadership to a development team while establishing engineering standards and modernizing legacy components.
You will automate security controls and integrate security gates like SAST, DAST, and SCA into CI/CD pipelines. Additionally, you will tune security tools to reduce false positives and provide code-level remediation guidance to development teams.
The Software Architect will assess current system architecture to identify technical debt and define a target-state design for an FDA-regulated SaaS product. They will also provide technical leadership to a development team and establish engineering standards to ensure system scalability and maintainability.
The engineer will automate security controls and integrate application and cloud security checks into software development workflows. They will also act as a technical SME to provide code-level remediation guidance and maintain continuous cloud visibility.
The developer will configure and manage Salesforce Data Cloud and Marketing Cloud capabilities to power omnichannel customer journeys and automations. They will collaborate with cross-functional teams to design data models, ensure platform security, and maintain technical documentation.
Design and automate AI-driven software documentation for end users, developers, and system integrators. Establish documentation standards, build governance, and refine prompt templates to ensure high-quality, consistent content at scale.
Design and automate AI-driven software documentation for end users, developers, and system integrators. Establish documentation standards, build governance gates, and refine prompt templates to ensure high-quality, consistent content at scale.
You will design and automate AI-driven documentation architecture for end users, developers, and system integrators. You will also establish governance standards and refine prompt templates to ensure high-quality, consistent documentation at scale.
You will implement new backend features for payment flows and reduce technical debt by refactoring legacy services. You will also collaborate with product managers and engineers to deliver end-to-end solutions while maintaining high engineering standards.
You will build and maintain backend services, automation workflows, and Salesforce API integrations to support a GTM data platform. Additionally, you will contribute to AI-assisted sales automation initiatives and work within an agile sprint environment.
Build and maintain backend services, REST APIs, and GraphQL integrations within a Unified CMS platform. Develop React components and optimize SSR/SSG workflows while supporting personalization and A/B testing.
Deliver production software features across .NET, TypeScript, and Azure using an agentic-first engineering workflow. Build and maintain backend services, APIs, and portal experiences while ensuring security and auditability.
The Product Manager will own product delivery and optimize the user experience, onboarding, and subscription conversion for a fitness mobile app. They will act as the primary liaison between executive leadership and the engineering team to translate strategic goals into actionable user stories.
The role involves owning infrastructure-as-code and deployment pipelines while building backend services for an identity and entitlement platform. You will also manage data migrations and ensure the integrity of permissioning flows across integrated systems.
You will own performance marketing for the US B2B market, managing paid acquisition channels like Google Ads and LinkedIn to drive lead generation. Additionally, you will analyze the full B2B funnel, run experiments, and mentor a PPC specialist to scale performance processes.
The Senior FinOps Analyst will advise R&D teams on cloud cost optimization and conduct proactive monitoring to identify and resolve spending anomalies. They will also facilitate monthly forecasting cycles and maintain technical documentation to ensure cost transparency across the organization.
The Senior FinOps Analyst will advise R&D teams on cloud cost optimization and monitor spending for anomalies. They will also lead monthly forecasting cycles and produce written root-cause analyses for cost variances.
The Data Engineer will execute large-scale data platform migrations to Snowflake and maintain reliable Apache Airflow workflows. They will partner with the data platform team to modernize infrastructure and ensure data quality throughout the migration process.
The Data Engineer will execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. They will partner with the data platform team to adapt existing pipelines and ensure data quality throughout the modernization process.
The Data Engineer will execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. They will work embedded within the data engineering team to adapt existing pipelines and ensure data quality throughout the modernization process.
Analyze and resolve production issues for a high-traffic hiring events product while partnering with client-facing teams to triage support tickets. Monitor production systems to ensure performance and support architecture changes or system integrations.
You will architect secure, scalable data platform capabilities and develop automated controls for metadata, lineage, and data quality. Additionally, you will build secure APIs and integrations while mentoring other engineers to guide technical direction.
Develop and maintain HTML/CSS email templates while ensuring accurate rendering across various devices and platforms. Build and deploy outbound campaigns, configure journey logic, and execute A/B and multivariate testing according to defined plans.
The engineer will design and implement robust backend services using Java and Spring Boot while maintaining the supporting Angular frontend. They will also lead the transition of the platform architecture toward a domain-driven structure.
The role involves building regression automation scripts and executing various testing types to ensure software quality throughout the product release cycle. You will also collaborate with product and customer-facing teams to incorporate user feedback and maintain detailed documentation of feature behavior.
You will lead a squad to design and implement robust backend services using Java and Spring Boot while maintaining the Angular frontend. Additionally, you will drive the transition toward domain-driven architecture and mentor junior developers in agile practices.
Develop and maintain React micro-frontend solutions and web applications for a high-scale payments platform. Contribute to feature development, bug fixes, and reliability improvements while ensuring high test coverage through automated CI/CD pipelines.
The Campaign Manager will own the end-to-end delivery of email marketing campaigns, including requirement gathering, campaign set-up, and client communication. They are responsible for maintaining the marketing calendar, coordinating with internal teams, and ensuring campaign execution meets quality and timeline standards.
The developer will design, build, and maintain Power BI dashboards to provide actionable business insights. They will also collaborate with stakeholders to integrate data from enterprise sources like Snowflake and SAP HANA.
The Senior IT Infrastructure Engineer will design, implement, and maintain enterprise infrastructure across on-premises and cloud environments. They are responsible for managing server administration, identity services, and automation processes to ensure system reliability and security.
The IT Infrastructure/Systems Engineer will design, build, and support corporate networks, servers, and storage across on-premise and cloud environments. They will also lead infrastructure projects, manage vendor relationships, and provide technical support for global operations.
Develop and maintain backend Java and Spring Boot services for a high-stakes, distributed payments platform. Contribute to feature development, bug fixes, and reliability improvements while ensuring production-ready code through rigorous testing and observability.
Architect and develop secure enterprise applications while building agentic workflows that connect AI to enterprise data. Implement authentication, authorization, and AI guardrails while mentoring other engineers and guiding technical direction.
Review and validate outbound email campaigns for content, targeting logic, and data integrity prior to deployment. Manage QA sign-off gates, track defects, and maintain testing documentation to ensure high-quality campaign execution.
Develop and implement data pipelines and tooling for cost attribution, performance-informed financial modeling, and data transparency. Maintain end-to-end ELT/ETL processes to support stakeholders in making data-driven decisions.
You will automate application security controls and integrate secure coding practices into software development and cloud workflows. Additionally, you will act as a technical SME to review complex application code and provide remediation guidance to software engineers.
The engineer will operate and improve AWS infrastructure and Kubernetes-hosted workloads for an enterprise data platform. They will also lead incident response, perform root-cause analysis, and mentor team members while ensuring system reliability.
The Lead AI Engineer will architect generative AI workflows using RAG and LLM APIs to automate cloud configuration and security policies. They will also provide technical leadership and mentorship to a distributed team while driving AI enablement initiatives.
The Business Development Executive will manage the full client lifecycle, from lead generation and pitching to contract drafting and delivery handoff. They are responsible for identifying market trends, attending networking events, and meeting revenue quotas while collaborating with internal engineering and delivery teams.
The Senior BI Product Manager will act as a subject-matter expert for Quote-to-Cash processes, bridging the gap between financial data and business decision-making. They are responsible for identifying operational friction points and translating them into actionable data, analytics, and AI/ML product requirements.
The Senior BI Product Manager will act as a subject-matter expert for Quote-to-Cash and Order-to-Cash processes, bridging the gap between financial data and business decision-making. They will collaborate with cross-functional teams to identify operational friction points and translate them into actionable BI, Machine Learning, and AI solutions.
The Cloud Platform Technical Lead will own the reliability and orchestration of an enterprise data platform within a regulated healthcare environment. They will lead technical transitions, establish cloud architecture principles, and guide cross-platform troubleshooting for infrastructure and data pipelines.
The Senior Data Platform Engineer will operate and improve a Snowflake-based enterprise data platform, including managing data ingestion, pipeline development, and system observability. They will also lead incident resolution, mentor team members, and ensure the reliability and performance of data workloads in a regulated healthcare environment.
You will architect, develop, and maintain high-performance Shopify Plus eCommerce solutions while collaborating with a team of senior engineers. The role involves deep code analysis, platform strategy, and providing technical support to ensure engineering excellence.
Develop and maintain backend Java/Spring Boot services for billing and account management systems. Ensure system reliability through observability, resilience patterns, and rigorous testing in a distributed environment.
The Graphic Designer will ideate and execute compelling visual concepts for e-commerce, web, and mobile projects while mapping designs to business goals. They will also collaborate with cross-functional teams, mentor junior staff, and utilize AI tools to streamline design workflows.
Lead end-to-end technical delivery for projects involving Salesforce, AI agents, and enterprise workflows. Partner with stakeholders and engineering teams to design scalable solutions and mentor developers on best practices.
The QA Automation Engineer will build and execute regression, smoke, and performance automation scripts while documenting feature behavior. They will collaborate with product and customer-facing teams to ensure quality throughout the SDLC and incorporate user feedback into testing strategies.
Design, build, and maintain scalable platform services, managing cloud resources and service boundaries across AWS and Kubernetes. Monitor and optimize system performance, improve development processes, and communicate project status, risks, and issues to stakeholders.
Lead a multi-team technical program covering product integration and migration from AWS to Google Cloud, translating high-level goals into detailed workstreams, milestones, dependencies, and delivery plans. Coordinate engineering, testing, data, cloud, and product teams; manage risks and blockers; and report progress and decisions to stakeholders and senior management.
Design, build, and maintain scalable platform services, managing cloud resources and service boundaries while ensuring security and operational excellence. Monitor and optimize system performance, improve development processes, and communicate project status, risks, and issues to stakeholders.
Lead the end-to-end technical program across distributed engineering teams, focusing on product integration and AWS-to-GCP cloud migration. Manage project roadmaps, dependencies, and stakeholder communication while coordinating testing, validation, and production readiness.
Lead end-to-end technical programs, including product integration and complex AWS-to-GCP cloud migrations. Coordinate across distributed engineering teams to manage dependencies, architecture, and delivery milestones while reporting progress to senior stakeholders.
Own production reliability and troubleshoot a high-scale live hiring events platform serving enterprise clients. Collaborate with Client Support and GTM teams to resolve issues and maintain SLA compliance across distributed backend systems.
Design and maintain scalable, secure backend systems for a high-scale consumer dating platform using Kotlin and AWS. Lead projects from architecture to production while mentoring junior engineers and establishing technical standards.
