TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. We are a community of 50 million who think-and feel-differently about investing. Together were changing the way the world invests. Since our founding in 1975 helping investors achieve their goals has been our main reason for existence. At Client were built differently. Our client is investor-owned meaning that were owned by our funds which are owned by our fund shareholder clients. Therefore your success adds to ours so youre surrounded by people who care about the same things. With no other parties to answer to we make decisions-including keeping investing costs as low as possible-with your needs in mind. Because of our unique structure your goals align with our goals.
Position: Software Dev Engineer IV
Location: Seattle WA 98121
Job Type: Temporary Assignment
- SDE will help implement an event-driven data retention automation service that ensures Lorem remains compliant with AWS Marketing data-retention policies across all in-scope data stores.
- This includes building ingestion of deletion signals from upstream systems scheduling and orchestrating deletion workflows for account person and activity records and executing deletion and redaction across DynamoDB tables and S3 datasets in multiple AWS accounts.
- The work will establish scalable orchestration retry and failure-handling mechanisms and end-to-end audit tracking to meet compliance and operational requirements.
- We will partner with dependent teams to validate requirements integrate with upstream signal sources and support integration testing through production rollout.
- Deliverables include a production-ready retention automation service with fully implemented deletion workflows cross-account integrations and monitoring/alerting to ensure compliance with defined SLAs.
- Provide operational runbooks dashboards and on-call guidance to support steady-state operations and incident response.
- Complete end-to-end validation including integration testing failure-scenario testing and compliance verification and support launch readiness activities to enable a stable production deployment and long-term maintainability.
- Qualifications 5 years building backend or distributed systems (or full-stack engineer) Experience with event-driven architectures (EventBridge Lambda SQS Step Functions) Strong hands-on with DynamoDB and S3 data processing or lifecycle management Proficiency in Python Java or TypeScript and infrastructure as code (CDK/CloudFormation) Familiar with monitoring security and compliance-driven systems Ability to deliver production-ready services and work cross-functionally
Top 3 Must Have Hard Skills
- Event-driven distributed systems on AWS Strong experience designing and implementing event-driven workflows using EventBridge Lambda SQS and Step Functions including orchestration retries and failure handling.
- Lead data lifecycle & governance Experience processing and managing lead/person data (normalization deduplication enrichment suppression retention/deletion) at scale across distributed AWS data stores.
- Production-grade backend engineering Proficiency in Python/Java/TypeScript and infrastructure-as-code (CDK/CloudFormation) to build secure observable and scalable services.
- Experience with cross-account AWS architectures and secure data integrations.
- Familiarity with monitoring/observability (CloudWatch dashboards alarms runbooks on-call readiness).
- Experience with system integration integration testing and phased production rollout across distributed services including implementing changes safely within large-scale high-reliability systems.
- Ownership Drives end-to-end delivery of a compliance-critical system across multiple services and partner teams.
- Dive Deep Able to reason about data lineage deletion guarantees edge cases and auditability across distributed data stores.
- Delivers a production-ready service that integrates cleanly with upstream lead-processing and signal sources with successful end-to-end validation across environments.
- Implements robust lead/person data lifecycle workflows (normalization dedupe enrichment retention/deletion)
- Establishes strong integration and canary testing coverage enabling safe staged rollouts and rapid rollback when needed.
- Builds resilient orchestration with clear retry failure-handling and observability (dashboards alarms audit tracking).
- Provides operational readiness artifacts (runbooks on-call guidance monitoring) enabling stable steady-state operations.
- Demonstrates ability to partner cross-functionally and deliver incremental milestones through launch and post-launch stabilization.
Degree/ Certification Requirements
- Bachelors degree in computer science Engineering or related technical field or equivalent industry experience.
- AWS certifications (e.g. Solutions Architect Developer) are a plus but not required.
What background does someone have that is successful in this role
- Backend or platform engineering roles building marketing CRM or lead-management data systems (lead/person/contact pipelines enrichment deduplication suppression retention).
- Experience owning end-to-end data lifecycle services that process and govern customer or marketing data across multiple storage systems and AWS accounts.
- Strong track record implementing system integrations staged/canary deployments and production rollouts for high-reliability services.
- Experience working on data-processing or data-quality platforms where correctness traceability and operational stability are critical.
- Comfort operating in cross-functional environments with product data and partner engineering teams to translate requirements into scalable production solutions.
TekWissen Group is an equal opportunity employer supporting workforce diversity.
Overview TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. We are a community of 50 million who think-and feel-differently about investing. Together were changing the way the world inv...
TekWissen is a global workforce management provider headquartered in Ann Arbor Michigan that offers strategic talent solutions to our clients world-wide. We are a community of 50 million who think-and feel-differently about investing. Together were changing the way the world invests. Since our founding in 1975 helping investors achieve their goals has been our main reason for existence. At Client were built differently. Our client is investor-owned meaning that were owned by our funds which are owned by our fund shareholder clients. Therefore your success adds to ours so youre surrounded by people who care about the same things. With no other parties to answer to we make decisions-including keeping investing costs as low as possible-with your needs in mind. Because of our unique structure your goals align with our goals.
Position: Software Dev Engineer IV
Location: Seattle WA 98121
Job Type: Temporary Assignment
- SDE will help implement an event-driven data retention automation service that ensures Lorem remains compliant with AWS Marketing data-retention policies across all in-scope data stores.
- This includes building ingestion of deletion signals from upstream systems scheduling and orchestrating deletion workflows for account person and activity records and executing deletion and redaction across DynamoDB tables and S3 datasets in multiple AWS accounts.
- The work will establish scalable orchestration retry and failure-handling mechanisms and end-to-end audit tracking to meet compliance and operational requirements.
- We will partner with dependent teams to validate requirements integrate with upstream signal sources and support integration testing through production rollout.
- Deliverables include a production-ready retention automation service with fully implemented deletion workflows cross-account integrations and monitoring/alerting to ensure compliance with defined SLAs.
- Provide operational runbooks dashboards and on-call guidance to support steady-state operations and incident response.
- Complete end-to-end validation including integration testing failure-scenario testing and compliance verification and support launch readiness activities to enable a stable production deployment and long-term maintainability.
- Qualifications 5 years building backend or distributed systems (or full-stack engineer) Experience with event-driven architectures (EventBridge Lambda SQS Step Functions) Strong hands-on with DynamoDB and S3 data processing or lifecycle management Proficiency in Python Java or TypeScript and infrastructure as code (CDK/CloudFormation) Familiar with monitoring security and compliance-driven systems Ability to deliver production-ready services and work cross-functionally
Top 3 Must Have Hard Skills
- Event-driven distributed systems on AWS Strong experience designing and implementing event-driven workflows using EventBridge Lambda SQS and Step Functions including orchestration retries and failure handling.
- Lead data lifecycle & governance Experience processing and managing lead/person data (normalization deduplication enrichment suppression retention/deletion) at scale across distributed AWS data stores.
- Production-grade backend engineering Proficiency in Python/Java/TypeScript and infrastructure-as-code (CDK/CloudFormation) to build secure observable and scalable services.
- Experience with cross-account AWS architectures and secure data integrations.
- Familiarity with monitoring/observability (CloudWatch dashboards alarms runbooks on-call readiness).
- Experience with system integration integration testing and phased production rollout across distributed services including implementing changes safely within large-scale high-reliability systems.
- Ownership Drives end-to-end delivery of a compliance-critical system across multiple services and partner teams.
- Dive Deep Able to reason about data lineage deletion guarantees edge cases and auditability across distributed data stores.
- Delivers a production-ready service that integrates cleanly with upstream lead-processing and signal sources with successful end-to-end validation across environments.
- Implements robust lead/person data lifecycle workflows (normalization dedupe enrichment retention/deletion)
- Establishes strong integration and canary testing coverage enabling safe staged rollouts and rapid rollback when needed.
- Builds resilient orchestration with clear retry failure-handling and observability (dashboards alarms audit tracking).
- Provides operational readiness artifacts (runbooks on-call guidance monitoring) enabling stable steady-state operations.
- Demonstrates ability to partner cross-functionally and deliver incremental milestones through launch and post-launch stabilization.
Degree/ Certification Requirements
- Bachelors degree in computer science Engineering or related technical field or equivalent industry experience.
- AWS certifications (e.g. Solutions Architect Developer) are a plus but not required.
What background does someone have that is successful in this role
- Backend or platform engineering roles building marketing CRM or lead-management data systems (lead/person/contact pipelines enrichment deduplication suppression retention).
- Experience owning end-to-end data lifecycle services that process and govern customer or marketing data across multiple storage systems and AWS accounts.
- Strong track record implementing system integrations staged/canary deployments and production rollouts for high-reliability services.
- Experience working on data-processing or data-quality platforms where correctness traceability and operational stability are critical.
- Comfort operating in cross-functional environments with product data and partner engineering teams to translate requirements into scalable production solutions.
TekWissen Group is an equal opportunity employer supporting workforce diversity.
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