This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform for wealth managers and private banks. As Senior Business Analyst, US Tax, you will take functional ownership of the US tax capabilities within our multi-country tax engine, translating complex US investment tax requirements into clear specifications, rules and test cases that our engineering teams can implement. Based at our new development centre in Fort Lauderdale, you will work closely with product management and engineering colleagues in Zurich, as well as our first US clients. You will be the team's authority on US investment taxation and the first person our US clients talk to in this client-facing and product-focused role. As a key subject matter expert, you will be helping shape the product roadmap, understanding client requirements and ensuring our platform accurately supports the tax, reporting and operational needs of the US wealth management market. Own the functional scope and roadmap of the US tax engine, acting as the US tax subject matter expert for product, engineering, clients and implementation teams Translate US tax legislation, regulations and IRS guidance into clear functional specifications, decision rules, worked examples and acceptance tests. Track changes in tax law and IRS guidance, assess their impact and keep the specifications current Define the tax treatment of investment portfolios: cost basis and tax lots, lot relief methods, holding periods, wash sales, corporate actions, bond premium and discount, dividend and interest classification Specify withholding and information reporting: backup withholding, withholding on payments to foreign persons, and the data behind Forms 1099-B, 1099-DIV, 1099-INT, 1099-OID and 1042-S Act as a trusted functional contact for US clients, leading workshops across tax and broader wealth-management topics, supporting onboarding and translating client needs into scalable product capabilities Collaborate closely with engineers, solution architects and product teams to validate functionality, maintain specifications and respond to changes in US tax requirements Carry client needs back into the product: separate the general requirement from the single request, and feed the roadmap Qualifications 8+ years of hands-on experience in US investment taxation, ideally within a custodian, broker-dealer, wealth manager, tax-reporting software provider or advisory firm A Master's degree in taxation, accounting, finance or law (MST, MAcc, JD or LL.M.), or a Bachelor's degree combined with a CPA licence Strong knowledge of cost-basis and tax-lot accounting, covered and noncovered securities, wash sales, corporate actions and Form 1099 reporting Proven ability to interpret primary tax sources, including the Internal Revenue Code, Treasury regulations and IRS guidance, and translate them into precise business requirements Experience creating functional specifications and test cases for software and working directly with engineering or technology teams Strong analytical and communication skills, including experience working directly with client tax, operations and technology teams and explaining complex requirements clearly It would be a real bonus if you have: Experience with cross-border taxation and reporting, such as Forms W-8 and 1042-S, FATCA, Qualified Intermediary requirements or PFIC rules Knowledge of specialist investment taxation and tax-aware portfolio management, including fixed income, derivatives, tax-loss harvesting, direct indexing, trusts, estates, retirement accounts or asset location Previous experience in a financial technology or product environment, knowledge of another country's investment taxation, or practical data and technology skills such as SQL, Python or AI tools Additional Information This role includes onboarding with the existing team in Zurich, regular travel to Switzerland and occasional travel to client sites. We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
10/27/2026
Full time
This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform for wealth managers and private banks. As Senior Business Analyst, US Tax, you will take functional ownership of the US tax capabilities within our multi-country tax engine, translating complex US investment tax requirements into clear specifications, rules and test cases that our engineering teams can implement. Based at our new development centre in Fort Lauderdale, you will work closely with product management and engineering colleagues in Zurich, as well as our first US clients. You will be the team's authority on US investment taxation and the first person our US clients talk to in this client-facing and product-focused role. As a key subject matter expert, you will be helping shape the product roadmap, understanding client requirements and ensuring our platform accurately supports the tax, reporting and operational needs of the US wealth management market. Own the functional scope and roadmap of the US tax engine, acting as the US tax subject matter expert for product, engineering, clients and implementation teams Translate US tax legislation, regulations and IRS guidance into clear functional specifications, decision rules, worked examples and acceptance tests. Track changes in tax law and IRS guidance, assess their impact and keep the specifications current Define the tax treatment of investment portfolios: cost basis and tax lots, lot relief methods, holding periods, wash sales, corporate actions, bond premium and discount, dividend and interest classification Specify withholding and information reporting: backup withholding, withholding on payments to foreign persons, and the data behind Forms 1099-B, 1099-DIV, 1099-INT, 1099-OID and 1042-S Act as a trusted functional contact for US clients, leading workshops across tax and broader wealth-management topics, supporting onboarding and translating client needs into scalable product capabilities Collaborate closely with engineers, solution architects and product teams to validate functionality, maintain specifications and respond to changes in US tax requirements Carry client needs back into the product: separate the general requirement from the single request, and feed the roadmap Qualifications 8+ years of hands-on experience in US investment taxation, ideally within a custodian, broker-dealer, wealth manager, tax-reporting software provider or advisory firm A Master's degree in taxation, accounting, finance or law (MST, MAcc, JD or LL.M.), or a Bachelor's degree combined with a CPA licence Strong knowledge of cost-basis and tax-lot accounting, covered and noncovered securities, wash sales, corporate actions and Form 1099 reporting Proven ability to interpret primary tax sources, including the Internal Revenue Code, Treasury regulations and IRS guidance, and translate them into precise business requirements Experience creating functional specifications and test cases for software and working directly with engineering or technology teams Strong analytical and communication skills, including experience working directly with client tax, operations and technology teams and explaining complex requirements clearly It would be a real bonus if you have: Experience with cross-border taxation and reporting, such as Forms W-8 and 1042-S, FATCA, Qualified Intermediary requirements or PFIC rules Knowledge of specialist investment taxation and tax-aware portfolio management, including fixed income, derivatives, tax-loss harvesting, direct indexing, trusts, estates, retirement accounts or asset location Previous experience in a financial technology or product environment, knowledge of another country's investment taxation, or practical data and technology skills such as SQL, Python or AI tools Additional Information This role includes onboarding with the existing team in Zurich, regular travel to Switzerland and occasional travel to client sites. We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.
Job Description Job Description W2 only - NO C2C candidates, NO 3rd parties For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. Data Architect- Wealth Management Position Description Join a collaborative data and analytics team building a modern, cloud native data platform on AWS. In this hands on architecture role, you will shape the data foundations that power wealth management insights, working alongside engineers, analysts, and business stakeholders. You will have the autonomy to define standards and patterns while working with a modern lakehouse and streaming stack. This hybrid position offers a strong balance of technical depth, influence, and professional growth. This role is located onsite at the client's office in Naperville, IL. This is a hybrid work scheduled. Future Responsibilities: . Design and maintain the end to end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS. . Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. . Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization. . Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage. . Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks. . Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data. . Guide data engineering teams on implementation, review designs, and ensure alignment to the target architecture. . Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability. . Support real time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms. Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases. Requirements: . 10-12 years of experience in data engineering / data architecture, with a substantial portion in Banking & Financial Services. . Demonstrated experience in Wealth Management or closely adjacent areas (asset management, private banking, or brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data. . Proven track record designing large scale data platforms on AWS. . Strong data modeling expertise across dimensional, data vault, and normalized/3NF approaches, and knowing when to apply each. . Deep experience with data lake / lakehouse and data warehouse architecture, including ETL/ELT design. . Solid understanding of data governance, data quality, metadata management, and data lineage in a regulated environment. . Experience handling sensitive data with appropriate security, privacy, and compliance controls. . Strong stakeholder management and the ability to communicate architectural decisions to technical and non technical audiences. . AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet and Iceberg or Delta Lake. . Streaming and serverless orchestration: Kinesis, MSK (Managed Kafka), Lambda, Step Functions, MWAA (Managed Airflow). . Databases: RDS, Aurora, DynamoDB. . Security & access: IAM, KMS, encryption at rest/in transit, and fine grained access control. . Infrastructure as Code (CloudFormation and/or Terraform), advanced SQL, and Python. . BI / consumption tools: QuickSight, Tableau, or Power BI. Nice to Have Skills . AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). . Enterprise architecture framework experience (e.g., TOGAF). . Experience with data cataloging and governance tools (e.g., Collibra, Alation). . Familiarity with market data providers (e.g., Bloomberg, Refinitiv) and portfolio accounting / performance systems. . Exposure to machine learning / advanced analytics enablement. . Experience with data mesh or domain oriented data architecture. . Knowledge of relevant regulatory frameworks and reporting requirements in wealth management. For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. . . Ref: Pittsburgh
10/27/2026
Full time
Job Description Job Description W2 only - NO C2C candidates, NO 3rd parties For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. Data Architect- Wealth Management Position Description Join a collaborative data and analytics team building a modern, cloud native data platform on AWS. In this hands on architecture role, you will shape the data foundations that power wealth management insights, working alongside engineers, analysts, and business stakeholders. You will have the autonomy to define standards and patterns while working with a modern lakehouse and streaming stack. This hybrid position offers a strong balance of technical depth, influence, and professional growth. This role is located onsite at the client's office in Naperville, IL. This is a hybrid work scheduled. Future Responsibilities: . Design and maintain the end to end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS. . Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. . Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization. . Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage. . Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks. . Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data. . Guide data engineering teams on implementation, review designs, and ensure alignment to the target architecture. . Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability. . Support real time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms. Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases. Requirements: . 10-12 years of experience in data engineering / data architecture, with a substantial portion in Banking & Financial Services. . Demonstrated experience in Wealth Management or closely adjacent areas (asset management, private banking, or brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data. . Proven track record designing large scale data platforms on AWS. . Strong data modeling expertise across dimensional, data vault, and normalized/3NF approaches, and knowing when to apply each. . Deep experience with data lake / lakehouse and data warehouse architecture, including ETL/ELT design. . Solid understanding of data governance, data quality, metadata management, and data lineage in a regulated environment. . Experience handling sensitive data with appropriate security, privacy, and compliance controls. . Strong stakeholder management and the ability to communicate architectural decisions to technical and non technical audiences. . AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet and Iceberg or Delta Lake. . Streaming and serverless orchestration: Kinesis, MSK (Managed Kafka), Lambda, Step Functions, MWAA (Managed Airflow). . Databases: RDS, Aurora, DynamoDB. . Security & access: IAM, KMS, encryption at rest/in transit, and fine grained access control. . Infrastructure as Code (CloudFormation and/or Terraform), advanced SQL, and Python. . BI / consumption tools: QuickSight, Tableau, or Power BI. Nice to Have Skills . AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). . Enterprise architecture framework experience (e.g., TOGAF). . Experience with data cataloging and governance tools (e.g., Collibra, Alation). . Familiarity with market data providers (e.g., Bloomberg, Refinitiv) and portfolio accounting / performance systems. . Exposure to machine learning / advanced analytics enablement. . Experience with data mesh or domain oriented data architecture. . Knowledge of relevant regulatory frameworks and reporting requirements in wealth management. For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. . . Ref: Pittsburgh
Job Description Job Description Vertical Relevance is seeking a Senior AWS Cloud Security Consultant to help design in NYC Metro Area. and enforce enterprise cloud security controls within a highly regulated environment. This role sits at the intersection of cloud security architecture, policy engineering, and AWS governance, with a primary focus on preventing data exfiltration through policy-as-code, data perimeter controls, and proactive threat modeling. You will evaluate AWS services before they are introduced into production environments, identify potential security risks at the API and configuration level, and implement preventive controls using AWS Organizations policies, IAM guardrails, and Rego-based policy frameworks. This is an opportunity to work on complex cloud security challenges supporting critical business platforms where security, compliance, and operational rigor are non-negotiable. Key Responsibilities 8+ years of cloud DevOps engineering, cloud security, or infrastructure security experience. Deep expertise in AWS security architecture and governance. Demonstrated experience performing API-level threat modeling for AWS services. Strong hands-on experience with: Open Policy Agent (OPA) Rego policy development Policy testing and validation Advanced knowledge of: AWS IAM AWS Organizations SCPs and RCPs Data perimeter architecture Experience designing least-privilege access models in regulated environments. Strong understanding of cloud security controls, compliance requirements, and enterprise governance frameworks. Preferred Qualifications Experience with Kivera.io, Cloudflare One, or similar cloud API policy enforcement platforms. Experience with Regal policy linting and OPA coverage reporting. Infrastructure-as-Code expertise using Terraform. CI/CD experience with: GitHub Actions OIDC federation Policy validation pipelines Approval-based deployment models Experience with: Checkov Conftest Policy Sentry Cloudsplaining Strong AWS observability experience using: CloudWatch CloudTrail VPC Flow Logs Amazon EKS security and governance experience. Experience working directly with AWS Support and Technical Account Managers. Financial services, banking, capital markets, or other highly regulated industry experience. Technical Environment AWS Organizations with SCP and RCP governance Open Policy Agent (OPA) Rego policy language Kivera.io policy enforcement platform Cloudflare One Terraform GitHub Actions CloudWatch CloudTrail VPC Flow Logs Amazon EKS Enterprise Data Perimeter Architecture Coding experience with Python, IAC a must U.S. work authorization required. Candidates must be legally authorized to work in the United States without current or future employer sponsorship. About Vertical Relevance Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years' experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right-sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation. Powered by JazzHR JfzJJ2bWAX
10/26/2026
Full time
Job Description Job Description Vertical Relevance is seeking a Senior AWS Cloud Security Consultant to help design in NYC Metro Area. and enforce enterprise cloud security controls within a highly regulated environment. This role sits at the intersection of cloud security architecture, policy engineering, and AWS governance, with a primary focus on preventing data exfiltration through policy-as-code, data perimeter controls, and proactive threat modeling. You will evaluate AWS services before they are introduced into production environments, identify potential security risks at the API and configuration level, and implement preventive controls using AWS Organizations policies, IAM guardrails, and Rego-based policy frameworks. This is an opportunity to work on complex cloud security challenges supporting critical business platforms where security, compliance, and operational rigor are non-negotiable. Key Responsibilities 8+ years of cloud DevOps engineering, cloud security, or infrastructure security experience. Deep expertise in AWS security architecture and governance. Demonstrated experience performing API-level threat modeling for AWS services. Strong hands-on experience with: Open Policy Agent (OPA) Rego policy development Policy testing and validation Advanced knowledge of: AWS IAM AWS Organizations SCPs and RCPs Data perimeter architecture Experience designing least-privilege access models in regulated environments. Strong understanding of cloud security controls, compliance requirements, and enterprise governance frameworks. Preferred Qualifications Experience with Kivera.io, Cloudflare One, or similar cloud API policy enforcement platforms. Experience with Regal policy linting and OPA coverage reporting. Infrastructure-as-Code expertise using Terraform. CI/CD experience with: GitHub Actions OIDC federation Policy validation pipelines Approval-based deployment models Experience with: Checkov Conftest Policy Sentry Cloudsplaining Strong AWS observability experience using: CloudWatch CloudTrail VPC Flow Logs Amazon EKS security and governance experience. Experience working directly with AWS Support and Technical Account Managers. Financial services, banking, capital markets, or other highly regulated industry experience. Technical Environment AWS Organizations with SCP and RCP governance Open Policy Agent (OPA) Rego policy language Kivera.io policy enforcement platform Cloudflare One Terraform GitHub Actions CloudWatch CloudTrail VPC Flow Logs Amazon EKS Enterprise Data Perimeter Architecture Coding experience with Python, IAC a must U.S. work authorization required. Candidates must be legally authorized to work in the United States without current or future employer sponsorship. About Vertical Relevance Vertical Relevance was founded to help business leaders drive value through the design and delivery of effective transformation programs across people, processes, and systems. Our mission is to help firms at any stage of their journey develop custom solutions for success and growth. We provide a full range of services from strategy and design through to implementation and training. Our collective industry expertise is our greatest asset - our professionals have an average of 20+ years' experience within Financial Services, across Wealth Management, Asset Management, Insurance, and Banking. Within our Customer Experience practice, we add complementary industry expertise (technology and media) synergizing the most relevant and successful customer trends. We focus wholly on your success by first rigorously assessing your business and technology challenges, and then right-sizing solutions that provide a meaningful ROI. With our industry experts hitting the ground running and focusing on nimble, quality delivery, we can see rapid, tangible improvements with our clients in productivity and effectiveness. When it makes sense for your company, we leverage our product partnerships in the areas of CRM, Sales Acceleration, Predictive Analytics, Digital Knowledge Management, and Cloud Transformation. Powered by JazzHR JfzJJ2bWAX
Job Description Job Description W2 only - NO C2C candidates, NO 3rd parties For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. Data Architect- Wealth Management Position Description Join a collaborative data and analytics team building a modern, cloud native data platform on AWS. In this hands on architecture role, you will shape the data foundations that power wealth management insights, working alongside engineers, analysts, and business stakeholders. You will have the autonomy to define standards and patterns while working with a modern lakehouse and streaming stack. This hybrid position offers a strong balance of technical depth, influence, and professional growth. This role is located onsite at the client's office in Naperville, IL. This is a hybrid work scheduled. Future Responsibilities: . Design and maintain the end to end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS. . Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. . Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization. . Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage. . Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks. . Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data. . Guide data engineering teams on implementation, review designs, and ensure alignment to the target architecture. . Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability. . Support real time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms. Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases. Requirements: . 10-12 years of experience in data engineering / data architecture, with a substantial portion in Banking & Financial Services. . Demonstrated experience in Wealth Management or closely adjacent areas (asset management, private banking, or brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data. . Proven track record designing large scale data platforms on AWS. . Strong data modeling expertise across dimensional, data vault, and normalized/3NF approaches, and knowing when to apply each. . Deep experience with data lake / lakehouse and data warehouse architecture, including ETL/ELT design. . Solid understanding of data governance, data quality, metadata management, and data lineage in a regulated environment. . Experience handling sensitive data with appropriate security, privacy, and compliance controls. . Strong stakeholder management and the ability to communicate architectural decisions to technical and non technical audiences. . AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet and Iceberg or Delta Lake. . Streaming and serverless orchestration: Kinesis, MSK (Managed Kafka), Lambda, Step Functions, MWAA (Managed Airflow). . Databases: RDS, Aurora, DynamoDB. . Security & access: IAM, KMS, encryption at rest/in transit, and fine grained access control. . Infrastructure as Code (CloudFormation and/or Terraform), advanced SQL, and Python. . BI / consumption tools: QuickSight, Tableau, or Power BI. Nice to Have Skills . AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). . Enterprise architecture framework experience (e.g., TOGAF). . Experience with data cataloging and governance tools (e.g., Collibra, Alation). . Familiarity with market data providers (e.g., Bloomberg, Refinitiv) and portfolio accounting / performance systems. . Exposure to machine learning / advanced analytics enablement. . Experience with data mesh or domain oriented data architecture. . Knowledge of relevant regulatory frameworks and reporting requirements in wealth management. For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. . . Ref: Pittsburgh
10/26/2026
Full time
Job Description Job Description W2 only - NO C2C candidates, NO 3rd parties For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. Data Architect- Wealth Management Position Description Join a collaborative data and analytics team building a modern, cloud native data platform on AWS. In this hands on architecture role, you will shape the data foundations that power wealth management insights, working alongside engineers, analysts, and business stakeholders. You will have the autonomy to define standards and patterns while working with a modern lakehouse and streaming stack. This hybrid position offers a strong balance of technical depth, influence, and professional growth. This role is located onsite at the client's office in Naperville, IL. This is a hybrid work scheduled. Future Responsibilities: . Design and maintain the end to end data architecture for the Wealth Management domain, including data lakes/lakehouses, warehouses, and streaming pipelines on AWS. . Define conceptual, logical, and physical data models for core wealth management entities such as clients, households, accounts, portfolios, holdings, transactions, and advisor relationships. . Establish architecture standards, patterns, and best practices for data ingestion, storage, transformation, and consumption across the organization. . Architect solutions for regulatory and compliance reporting (e.g., SEC, FINRA, Reg BI, SOX, and relevant privacy regimes), ensuring auditability and data lineage. . Lead the design of data governance, quality, cataloging, and master data management (MDM) frameworks. . Partner with security teams to enforce encryption, access controls, and PII/PCI handling for sensitive financial and client data. . Guide data engineering teams on implementation, review designs, and ensure alignment to the target architecture. . Evaluate and select tools and AWS services, balancing cost, performance, scalability, and maintainability. . Support real time and batch integration with source systems such as portfolio accounting, custody, CRM, market data feeds, and financial planning platforms. Collaborate with business and analytics stakeholders to enable BI, reporting, and advanced analytics/ML use cases. Requirements: . 10-12 years of experience in data engineering / data architecture, with a substantial portion in Banking & Financial Services. . Demonstrated experience in Wealth Management or closely adjacent areas (asset management, private banking, or brokerage), with working knowledge of financial instruments, portfolios, custody, advisory, and client/household data. . Proven track record designing large scale data platforms on AWS. . Strong data modeling expertise across dimensional, data vault, and normalized/3NF approaches, and knowing when to apply each. . Deep experience with data lake / lakehouse and data warehouse architecture, including ETL/ELT design. . Solid understanding of data governance, data quality, metadata management, and data lineage in a regulated environment. . Experience handling sensitive data with appropriate security, privacy, and compliance controls. . Strong stakeholder management and the ability to communicate architectural decisions to technical and non technical audiences. . AWS storage & compute: S3, Redshift, EMR, Athena, Glue, Lake Formation; lakehouse formats Parquet and Iceberg or Delta Lake. . Streaming and serverless orchestration: Kinesis, MSK (Managed Kafka), Lambda, Step Functions, MWAA (Managed Airflow). . Databases: RDS, Aurora, DynamoDB. . Security & access: IAM, KMS, encryption at rest/in transit, and fine grained access control. . Infrastructure as Code (CloudFormation and/or Terraform), advanced SQL, and Python. . BI / consumption tools: QuickSight, Tableau, or Power BI. Nice to Have Skills . AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect). . Enterprise architecture framework experience (e.g., TOGAF). . Experience with data cataloging and governance tools (e.g., Collibra, Alation). . Familiarity with market data providers (e.g., Bloomberg, Refinitiv) and portfolio accounting / performance systems. . Exposure to machine learning / advanced analytics enablement. . Experience with data mesh or domain oriented data architecture. . Knowledge of relevant regulatory frameworks and reporting requirements in wealth management. For immediate consideration, please connect with me on LinkedIn at and then email your resume, work authorization status, current location, availability, and compensation expectations directly to - make sure to include the exact job title and job location in your email message. . . Ref: Pittsburgh
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description Your Role The CoPilot Studio Solution Architect is a senior technical leader responsible for the end-to-end architecture, design, and delivery of agent and copilot solutions built on Microsoft CoPilot Studio across Invesco. This role defines the reference architectures, integration standards, and governance patterns for low-code AI agents that connect Microsoft 365 and core enterprise systems. The Architect partners with business and technology stakeholders to translate priority use cases into secure, scalable, production-grade copilot experiences aligned with Invesco's AI strategy, risk posture, and regulatory obligations. The role requires deep hands-on expertise across the Microsoft AI stack, a pragmatic delivery mindset, and the ability to translate emerging agentic capabilities into measurable business value. You Will Be Responsible For: Solution Architecture & Design Define and own the target architecture for CoPilot Studio agents at Invesco, including topic design, generative orchestration, knowledge sources, plugins, connectors, and handoff patterns to Microsoft 365 Copilot. Establish reference patterns for integrating CoPilot Studio with existing Invesco applications, infrastructure (including Cloud across Azure & AWS), and SaaS platforms. Lead architectural reviews, design-authority sign-off, and technical due diligence for new copilot use cases across the enterprise. Delivery & Engineering Leadership Partner with product owners, business analysts, and makers to translate business needs into agent designs, conversation flows, and grounded knowledge strategies. Oversee the hands-on build of priority copilots - authoring topics, prompts, plugins, and custom connectors - and coach engineering teams on best practice. Drive Application Lifecycle Management, source control, environment strategy, and CI/CD for CoPilot Studio solutions using Power Platform Pipelines and Azure DevOps / GitHub. Governance, Security & Responsible AI Define and enforce guardrails for CoPilot Studio - Data Loss Prevention policies, environment strategy, authentication (Entra ID, SSO, On-Behalf-Of flows), data residency, and content moderation. Embed Responsible AI principles - grounding, citations, evaluation, red-teaming, and human-in-the-loop - into every solution delivered. Ensure all copilots meet Invesco's information security, privacy, regulatory, and audit requirements. Business Partnership & Stakeholder Engagement Act as the trusted technical advisor to business sponsors, evangelizing both the capabilities and the realistic limits of CoPilot Studio and agentic AI. Build and run a CoPilot Studio centralized practice covering standards, templates, maker enablement, and a value-tracking framework. Operational Excellence Establish observability, telemetry, conversation analytics, and quality metrics for production agents. Contribute to the management of capacity, consumption, licensing (messages, AI Builder credits, premium connectors), and total cost of ownership across the CoPilot Studio estate. Align CoPilot Studio delivery with Invesco's modern delivery models and product-aligned engineering teams. The experiences you Bring Minimum 8+ years in solution architecture or senior engineering roles, with at least 2+ years hands-on with Microsoft CoPilot Studio (and/or predecessor Power Virtual Agents) delivering production agents. Deep, demonstrable expertise across the Microsoft Power Platform - Power Automate, Power Apps, Dataverse, and AI Builder - together with Microsoft 365 Copilot extensibility (declarative agents, API plugins, connectors, and the CoPilot Studio agent builder). Strong working knowledge of Azure AI services - Azure OpenAI, Azure AI Search (vector and hybrid retrieval), Azure AI Foundry, Document Intelligence, and Content Safety. Proven experience with conversational design, prompt engineering, retrieval-augmented generation (RAG), evaluation frameworks, and agent orchestration patterns, including multi-agent and Microsoft 365 Copilot handoff. Solid grounding in identity (Entra ID, OAuth 2.0, On-Behalf-Of flow), Microsoft Graph, SharePoint, and enterprise integration patterns (REST, Logic Apps, API Management). Experience operating within regulated environments - financial services preferred - including data classification, DLP, and audit controls. Demonstrated ability to lead architectural governance forums and mentor multi-disciplinary teams of professional developers and citizen makers. Experience with Power Platform CLI, and Power Platform Pipelines for end-to-end ALM. Relevant Microsoft certifications (e.g. AB-100, PL-600, PL-400, AI-102) would be a distinct advantage. Experience integrating CoPilot Studio with line-of-business platforms in asset management, wealth, or capital markets would be a distinct advantage. Architectural Thinking: Able to design coherent, scalable, and secure end-to-end solutions that span low-code, pro-code, AI, and enterprise integration layers. Technical Excellence: Superior hands-on knowledge of CoPilot Studio, Power Platform, and Azure AI; able to translate technical capabilities into clear business value. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
10/26/2026
Full time
This job is with Invesco, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description Your Role The CoPilot Studio Solution Architect is a senior technical leader responsible for the end-to-end architecture, design, and delivery of agent and copilot solutions built on Microsoft CoPilot Studio across Invesco. This role defines the reference architectures, integration standards, and governance patterns for low-code AI agents that connect Microsoft 365 and core enterprise systems. The Architect partners with business and technology stakeholders to translate priority use cases into secure, scalable, production-grade copilot experiences aligned with Invesco's AI strategy, risk posture, and regulatory obligations. The role requires deep hands-on expertise across the Microsoft AI stack, a pragmatic delivery mindset, and the ability to translate emerging agentic capabilities into measurable business value. You Will Be Responsible For: Solution Architecture & Design Define and own the target architecture for CoPilot Studio agents at Invesco, including topic design, generative orchestration, knowledge sources, plugins, connectors, and handoff patterns to Microsoft 365 Copilot. Establish reference patterns for integrating CoPilot Studio with existing Invesco applications, infrastructure (including Cloud across Azure & AWS), and SaaS platforms. Lead architectural reviews, design-authority sign-off, and technical due diligence for new copilot use cases across the enterprise. Delivery & Engineering Leadership Partner with product owners, business analysts, and makers to translate business needs into agent designs, conversation flows, and grounded knowledge strategies. Oversee the hands-on build of priority copilots - authoring topics, prompts, plugins, and custom connectors - and coach engineering teams on best practice. Drive Application Lifecycle Management, source control, environment strategy, and CI/CD for CoPilot Studio solutions using Power Platform Pipelines and Azure DevOps / GitHub. Governance, Security & Responsible AI Define and enforce guardrails for CoPilot Studio - Data Loss Prevention policies, environment strategy, authentication (Entra ID, SSO, On-Behalf-Of flows), data residency, and content moderation. Embed Responsible AI principles - grounding, citations, evaluation, red-teaming, and human-in-the-loop - into every solution delivered. Ensure all copilots meet Invesco's information security, privacy, regulatory, and audit requirements. Business Partnership & Stakeholder Engagement Act as the trusted technical advisor to business sponsors, evangelizing both the capabilities and the realistic limits of CoPilot Studio and agentic AI. Build and run a CoPilot Studio centralized practice covering standards, templates, maker enablement, and a value-tracking framework. Operational Excellence Establish observability, telemetry, conversation analytics, and quality metrics for production agents. Contribute to the management of capacity, consumption, licensing (messages, AI Builder credits, premium connectors), and total cost of ownership across the CoPilot Studio estate. Align CoPilot Studio delivery with Invesco's modern delivery models and product-aligned engineering teams. The experiences you Bring Minimum 8+ years in solution architecture or senior engineering roles, with at least 2+ years hands-on with Microsoft CoPilot Studio (and/or predecessor Power Virtual Agents) delivering production agents. Deep, demonstrable expertise across the Microsoft Power Platform - Power Automate, Power Apps, Dataverse, and AI Builder - together with Microsoft 365 Copilot extensibility (declarative agents, API plugins, connectors, and the CoPilot Studio agent builder). Strong working knowledge of Azure AI services - Azure OpenAI, Azure AI Search (vector and hybrid retrieval), Azure AI Foundry, Document Intelligence, and Content Safety. Proven experience with conversational design, prompt engineering, retrieval-augmented generation (RAG), evaluation frameworks, and agent orchestration patterns, including multi-agent and Microsoft 365 Copilot handoff. Solid grounding in identity (Entra ID, OAuth 2.0, On-Behalf-Of flow), Microsoft Graph, SharePoint, and enterprise integration patterns (REST, Logic Apps, API Management). Experience operating within regulated environments - financial services preferred - including data classification, DLP, and audit controls. Demonstrated ability to lead architectural governance forums and mentor multi-disciplinary teams of professional developers and citizen makers. Experience with Power Platform CLI, and Power Platform Pipelines for end-to-end ALM. Relevant Microsoft certifications (e.g. AB-100, PL-600, PL-400, AI-102) would be a distinct advantage. Experience integrating CoPilot Studio with line-of-business platforms in asset management, wealth, or capital markets would be a distinct advantage. Architectural Thinking: Able to design coherent, scalable, and secure end-to-end solutions that span low-code, pro-code, AI, and enterprise integration layers. Technical Excellence: Superior hands-on knowledge of CoPilot Studio, Power Platform, and Azure AI; able to translate technical capabilities into clear business value. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.
Dynasty Financial Partners, LLC
Saint Petersburg, Florida
Job Description Job Description Description: About the Role We are building AI systems that advisors and their clients rely on inside a regulated wealth management platform - an internal AI assistant, an external-facing API layer on top of it, and a growing set of agentic workflows. The bar for correctness, grounding, and auditability is higher here than it is for most AI products. This role exists because traditional QA does not cover that surface. We need an engineer who can evaluate non-deterministic systems, build the tooling that catches AI regressions before they reach an advisor, and hold the line on code quality now that a meaningful share of our code is written by autonomous coding agents. This is a hands-on engineering role, not a test-execution role. What You'll Do 1. Own and extend our AI evaluation framework for AI chat Build and maintain evaluation suite for our AI assistant and its API surface - correctness, grounding/citation fidelity, retrieval quality, refusal and escalation behavior, tone, latency, and cost per interaction. Curate and version golden datasets and adversarial test sets drawn from real advisor workflows; keep them representative as the product changes. Design LLM-as-judge and rubric-based scoring where deterministic assertions do not apply and validate the judges themselves against human-labeled sets. Wire evals into CI so prompt, model, retrieval, and tool changes are gated by measured regression - not by vibes. Instrument production traces and close the loop from live failures back into the eval suite. 2. Build the multi-agent AI quality step that finds defects automatically Design and operate a multi-agent workflow in our CI/CD pipeline that runs on commit: executes the suite, triages failures, writes up defects with reproduction detail, proposes or applies fixes, and re-runs to verify. Define agent roles, hand-off logic, guardrails, and the quality checks that decide when an agent's output is trustworthy enough to auto-apply versus route to a human. Make cost-aware calls on where an LLM us needed and where deterministic automation is simply the better tool. Report on the loop's real impact - autonomous resolution rate, false-positive rate, engineer hours returned. 3. Scale code quality in the age of autonomous agent coding Define what "good" means for agent-authored code and build the automated gates that enforce it: coverage and mutation testing, static analysis, security and dependency scanning, architectural conformance, and review checklists tuned to how agents fail. Identify the failure modes specific to agent-generated code - plausible-but-wrong logic, silent scope creep, duplicated abstractions, missing edge-case handling, tests written to pass rather than to verify - and build detection for them. Partner with architects and delivery teams to keep velocity from outrunning quality as agent-assisted development scales across the org. Across all three Partner with product, engineering, and AI Labs to define coverage and acceptance criteria for AI features before they are built. Contribute to release-readiness and go/no-go decisions with evidence. Maintain and modernize our existing automation estate (API, UI, integration) and mentor engineers on Requirements: Required 5+ years in software quality, test automation, or SDET work, with real ownership of automation architecture - not just test authoring. Demonstrated production experience with LLM-powered systems: agent patterns, prompt engineering, tool/function calling, and orchestration. Hands-on with major model APIs (OpenAI, Anthropic, Azure OpenAI) and AI-assisted development tooling (Claude Code, Copilot, Codex or equivalent). Strong programming in at least one of Python, TypeScript/JavaScript, Java, Kotlin, or C#, and comfort reading across the others. Experience building and interpreting evaluation criteria for systems without a single correct answer. Deep CI/CD fluency - pipeline integration, gating, monitoring, and logging. API testing depth and experience validating third-party integrations. Clear written communication; you can explain a quality risk to a product owner and a root cause to an engineer in the same day. Preferred Eval and observability tooling: Langfuse, Promptfoo, OpenTelemetry, New Relic, or equivalents. RAG fundamentals - embeddings, chunking strategy, vector search, retrieval evaluation. Workflow orchestration tooling (n8n or similar). Azure cloud services; .NET ecosystem exposure. BDD/Selenium or comparable UI automation at scale. Financial services, wealth management, or another regulated domain - or a clear appetite for what data governance means in one. Experience mentoring or leading distributed QA engineers. First 90 Days Days 1-30: Learn the assistant, the API layer, and the current eval and automation estate. Ship a baseline eval suite for one high-traffic chat workflow with results visible in CI. Days 31-60: Stand up the first multi-agent defect-detection step on a single service; establish the trust threshold for auto-applied fixes and publish the metrics. Days 61-90: Propose and begin rolling out the agent-authored code quality standard across delivery teams, with automated gates.
10/19/2026
Full time
Job Description Job Description Description: About the Role We are building AI systems that advisors and their clients rely on inside a regulated wealth management platform - an internal AI assistant, an external-facing API layer on top of it, and a growing set of agentic workflows. The bar for correctness, grounding, and auditability is higher here than it is for most AI products. This role exists because traditional QA does not cover that surface. We need an engineer who can evaluate non-deterministic systems, build the tooling that catches AI regressions before they reach an advisor, and hold the line on code quality now that a meaningful share of our code is written by autonomous coding agents. This is a hands-on engineering role, not a test-execution role. What You'll Do 1. Own and extend our AI evaluation framework for AI chat Build and maintain evaluation suite for our AI assistant and its API surface - correctness, grounding/citation fidelity, retrieval quality, refusal and escalation behavior, tone, latency, and cost per interaction. Curate and version golden datasets and adversarial test sets drawn from real advisor workflows; keep them representative as the product changes. Design LLM-as-judge and rubric-based scoring where deterministic assertions do not apply and validate the judges themselves against human-labeled sets. Wire evals into CI so prompt, model, retrieval, and tool changes are gated by measured regression - not by vibes. Instrument production traces and close the loop from live failures back into the eval suite. 2. Build the multi-agent AI quality step that finds defects automatically Design and operate a multi-agent workflow in our CI/CD pipeline that runs on commit: executes the suite, triages failures, writes up defects with reproduction detail, proposes or applies fixes, and re-runs to verify. Define agent roles, hand-off logic, guardrails, and the quality checks that decide when an agent's output is trustworthy enough to auto-apply versus route to a human. Make cost-aware calls on where an LLM us needed and where deterministic automation is simply the better tool. Report on the loop's real impact - autonomous resolution rate, false-positive rate, engineer hours returned. 3. Scale code quality in the age of autonomous agent coding Define what "good" means for agent-authored code and build the automated gates that enforce it: coverage and mutation testing, static analysis, security and dependency scanning, architectural conformance, and review checklists tuned to how agents fail. Identify the failure modes specific to agent-generated code - plausible-but-wrong logic, silent scope creep, duplicated abstractions, missing edge-case handling, tests written to pass rather than to verify - and build detection for them. Partner with architects and delivery teams to keep velocity from outrunning quality as agent-assisted development scales across the org. Across all three Partner with product, engineering, and AI Labs to define coverage and acceptance criteria for AI features before they are built. Contribute to release-readiness and go/no-go decisions with evidence. Maintain and modernize our existing automation estate (API, UI, integration) and mentor engineers on Requirements: Required 5+ years in software quality, test automation, or SDET work, with real ownership of automation architecture - not just test authoring. Demonstrated production experience with LLM-powered systems: agent patterns, prompt engineering, tool/function calling, and orchestration. Hands-on with major model APIs (OpenAI, Anthropic, Azure OpenAI) and AI-assisted development tooling (Claude Code, Copilot, Codex or equivalent). Strong programming in at least one of Python, TypeScript/JavaScript, Java, Kotlin, or C#, and comfort reading across the others. Experience building and interpreting evaluation criteria for systems without a single correct answer. Deep CI/CD fluency - pipeline integration, gating, monitoring, and logging. API testing depth and experience validating third-party integrations. Clear written communication; you can explain a quality risk to a product owner and a root cause to an engineer in the same day. Preferred Eval and observability tooling: Langfuse, Promptfoo, OpenTelemetry, New Relic, or equivalents. RAG fundamentals - embeddings, chunking strategy, vector search, retrieval evaluation. Workflow orchestration tooling (n8n or similar). Azure cloud services; .NET ecosystem exposure. BDD/Selenium or comparable UI automation at scale. Financial services, wealth management, or another regulated domain - or a clear appetite for what data governance means in one. Experience mentoring or leading distributed QA engineers. First 90 Days Days 1-30: Learn the assistant, the API layer, and the current eval and automation estate. Ship a baseline eval suite for one high-traffic chat workflow with results visible in CI. Days 31-60: Stand up the first multi-agent defect-detection step on a single service; establish the trust threshold for auto-applied fixes and publish the metrics. Days 61-90: Propose and begin rolling out the agent-authored code quality standard across delivery teams, with automated gates.
Job Description Job Description Principal GNC Engineer Location: Playa Vista, California (in-person, five days per week) The return lane isn't going to build itself. Come build it with us. Outpost is an orbital logistics company rewriting the rules of global logistics by building reusable Earth-return vehicles that unlock in-space manufacturing, on-orbit warehousing, and 60-minute global delivery through space. Our CarryAll vehicle family returns payloads ranging from 200 kilograms to 10 metric tons, lands within 10 meters of its target, and can then be refurbished and launched again. One vehicle, many missions: responsive logistics and precision delivery for national security; commercial cargo moved with real cadence; R&D payloads flown, tested, and refined across repeatable cycles; and critical aid delivered where roads and runways can't reach. The demand is already here, validated through defense and civil agreements and supported by a growing pipeline of government and commercial customers. We have the customers, the team, and a clear technical path ahead of us. We're building the return lane. Come build it with us The Role Outpost is building vehicles that bring things back from space. Getting mass from orbit to a precise point on the ground is a GNC problem end to end: a deorbit burn that has to hit an entry corridor, a hypersonic entry that has to bleed energy inside structural and thermal limits, and a guided descent that has to land on a target, repeatably, and cheaply enough to do it often. We're hiring a Principal GNC Engineer to own that chain. This is not a role where you hand algorithms over a wall. You'll design the guidance and estimation architecture, write the flight code, put it on hardware, sit through the HIL runs, go out to the drop tests and flight campaigns, and come back with data that changes the design. If you want to see your controller fly within months rather than years, this is that job. Basic Qualifications: Bachelor's degree in a related technical discipline with 5+ years as a GNC or Controls professional or Advanced degree with 3+ years as a GNC or Controls professional Software development experience in C++ and Python. Experience in software tools such as Git, Jira, and CI Pipeline Algorithms on real hardware (e.g. Extended Kalman Filters, LQR) Strong understanding of classical dynamics, modeling and simulation, classical and modern control. Ability to work in a fast paced, autonomously driven atmosphere. Passion for space and the application of advanced estimation and control techniques in this domain Additional Qualifications: Experience with implementing optimal control for burn planning Experience with satellite maneuvering and thruster systems Demonstrated project or professional experience in satellite attitude determination and control Experience in end-to-end development of three axis stabilized spacecraft incorporating momentum, magnetic, and/or propulsive control. Experience with flexible body control, orbital maneuvering, filtering, fault management, software development, and navigation filtering. Responsibilities: Modeling, design, analysis, implementation and test of satellite attitude determination and control (ADCS) algorithms. Hardware performance specification including reaction wheel and torque rod sizing, sensor noise and performance, characteristics, redundancy and fault management. Define and own ADCS requirements definition with electrical and mechanical engineers Implement closed loop pointing, orbit raising, and station keeping algorithms for flight. Analyze platform stability to ensure low jitter of line-of-sight instruments. Develop high fidelity 6 degree of freedom satellite simulations using Python, Matlab or C++. Develop entry guidance, entry corridor and reachability analysis, deorbit burn targeting, aerothermal and load-constrained trajectory shaping. Develop EKF and UKF with GNSS, IMU, air data, radar or laser altimetry, magnetometers, and optical or terrain-relative sensors; sensor error modeling and calibration; GNSS-denied or degraded navigation, including through plasma blackout. Implement control of aerodynamically unstable or marginally stable vehicles, gain scheduling and robust control across wide Mach and dynamic pressure ranges, actuator and effector allocation, autonomous mode sequencing and abort logic. Support flight test campaigns at test sites - test planning, instrumentation requirements, real-time support, and flight data reconstruction. Compensation & Benefits: Salary: Principal: $190,000- $225,00, based on experience Additional Compensation: Annual performance-based bonuses that reward your impact. Shared upside: Meaningful equity in Outpost so you share directly in the value you help create. Comprehensive healthcare: Medical, dental, and vision coverage to keep you and your loved ones covered. We cover the base tier of medical insurance and all premiums of vision and dental. Protection when it matters: Company-provided short- and long-term disability coverage for peace of mind, plus life insurance for even more security. PTO: Recharge on your own terms with paid time off, plus 9 days of paid holidays. Invest in your future: 401(k) with company match to help you build long-term wealth. Fueled for the mission: Daily DoorDash lunch stipend, plus unlimited snacks, coffee, and tea to keep you energized. Mission that matters: Work shoulder-to-shoulder with leaders from aerospace, new space, and deep-tech industries building the future of orbital infrastructure. Pet Friendly Office: Bring your furry friend into the office so that they can be a part of our mission too. Monthly Company Happy Hours and Events: Drinks at the local bar, hibachi nights, mini golfing and more! You must be a U.S. citizen or lawful permanent resident of the U.S., protected individual as defined by 22 C.F.R. 120.15 , or eligible to obtain the required authorizations from the U.S. Department of State
09/30/2026
Full time
Job Description Job Description Principal GNC Engineer Location: Playa Vista, California (in-person, five days per week) The return lane isn't going to build itself. Come build it with us. Outpost is an orbital logistics company rewriting the rules of global logistics by building reusable Earth-return vehicles that unlock in-space manufacturing, on-orbit warehousing, and 60-minute global delivery through space. Our CarryAll vehicle family returns payloads ranging from 200 kilograms to 10 metric tons, lands within 10 meters of its target, and can then be refurbished and launched again. One vehicle, many missions: responsive logistics and precision delivery for national security; commercial cargo moved with real cadence; R&D payloads flown, tested, and refined across repeatable cycles; and critical aid delivered where roads and runways can't reach. The demand is already here, validated through defense and civil agreements and supported by a growing pipeline of government and commercial customers. We have the customers, the team, and a clear technical path ahead of us. We're building the return lane. Come build it with us The Role Outpost is building vehicles that bring things back from space. Getting mass from orbit to a precise point on the ground is a GNC problem end to end: a deorbit burn that has to hit an entry corridor, a hypersonic entry that has to bleed energy inside structural and thermal limits, and a guided descent that has to land on a target, repeatably, and cheaply enough to do it often. We're hiring a Principal GNC Engineer to own that chain. This is not a role where you hand algorithms over a wall. You'll design the guidance and estimation architecture, write the flight code, put it on hardware, sit through the HIL runs, go out to the drop tests and flight campaigns, and come back with data that changes the design. If you want to see your controller fly within months rather than years, this is that job. Basic Qualifications: Bachelor's degree in a related technical discipline with 5+ years as a GNC or Controls professional or Advanced degree with 3+ years as a GNC or Controls professional Software development experience in C++ and Python. Experience in software tools such as Git, Jira, and CI Pipeline Algorithms on real hardware (e.g. Extended Kalman Filters, LQR) Strong understanding of classical dynamics, modeling and simulation, classical and modern control. Ability to work in a fast paced, autonomously driven atmosphere. Passion for space and the application of advanced estimation and control techniques in this domain Additional Qualifications: Experience with implementing optimal control for burn planning Experience with satellite maneuvering and thruster systems Demonstrated project or professional experience in satellite attitude determination and control Experience in end-to-end development of three axis stabilized spacecraft incorporating momentum, magnetic, and/or propulsive control. Experience with flexible body control, orbital maneuvering, filtering, fault management, software development, and navigation filtering. Responsibilities: Modeling, design, analysis, implementation and test of satellite attitude determination and control (ADCS) algorithms. Hardware performance specification including reaction wheel and torque rod sizing, sensor noise and performance, characteristics, redundancy and fault management. Define and own ADCS requirements definition with electrical and mechanical engineers Implement closed loop pointing, orbit raising, and station keeping algorithms for flight. Analyze platform stability to ensure low jitter of line-of-sight instruments. Develop high fidelity 6 degree of freedom satellite simulations using Python, Matlab or C++. Develop entry guidance, entry corridor and reachability analysis, deorbit burn targeting, aerothermal and load-constrained trajectory shaping. Develop EKF and UKF with GNSS, IMU, air data, radar or laser altimetry, magnetometers, and optical or terrain-relative sensors; sensor error modeling and calibration; GNSS-denied or degraded navigation, including through plasma blackout. Implement control of aerodynamically unstable or marginally stable vehicles, gain scheduling and robust control across wide Mach and dynamic pressure ranges, actuator and effector allocation, autonomous mode sequencing and abort logic. Support flight test campaigns at test sites - test planning, instrumentation requirements, real-time support, and flight data reconstruction. Compensation & Benefits: Salary: Principal: $190,000- $225,00, based on experience Additional Compensation: Annual performance-based bonuses that reward your impact. Shared upside: Meaningful equity in Outpost so you share directly in the value you help create. Comprehensive healthcare: Medical, dental, and vision coverage to keep you and your loved ones covered. We cover the base tier of medical insurance and all premiums of vision and dental. Protection when it matters: Company-provided short- and long-term disability coverage for peace of mind, plus life insurance for even more security. PTO: Recharge on your own terms with paid time off, plus 9 days of paid holidays. Invest in your future: 401(k) with company match to help you build long-term wealth. Fueled for the mission: Daily DoorDash lunch stipend, plus unlimited snacks, coffee, and tea to keep you energized. Mission that matters: Work shoulder-to-shoulder with leaders from aerospace, new space, and deep-tech industries building the future of orbital infrastructure. Pet Friendly Office: Bring your furry friend into the office so that they can be a part of our mission too. Monthly Company Happy Hours and Events: Drinks at the local bar, hibachi nights, mini golfing and more! You must be a U.S. citizen or lawful permanent resident of the U.S., protected individual as defined by 22 C.F.R. 120.15 , or eligible to obtain the required authorizations from the U.S. Department of State
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist, AI Solution Architect to join our KPMG Managed Services practice. Responsibilities: Architect and lead end-to-end delivery of enterprise-scale AI solutions using Agile and DevOps practices, providing technical leadership across planning, development, code quality, reviews, and release management with tools such as Azure DevOps, JIRA, Git, and CI/CD pipelines. Design and implement secure, resilient, and scalable cloud-native architectures on Microsoft Azure, leveraging IaaS/PaaS services, modern application stacks, and enterprise data platforms to meet regulatory and performance requirements. Drive AI, GenAI, and agent-based solution strategy by leading proofs of concept and pilots, and guiding successful initiatives through transition into production-ready, operational platforms. Translate complex business needs into pragmatic technical solutions by partnering with business stakeholders, product owners, and enterprise architects to shape roadmaps, evaluate emerging technologies, and align AI capabilities to measurable business outcomes. Design and enable advanced agentic and intelligent automation patterns, including retrieval-augmented generation (RAG), multi-agent and A2A architectures, orchestration, state management, observability, and interoperable workflows that scale beyond pilot stages. Establish and enforce standards for architecture artifacts, documentation, deployment patterns, monitoring, and support while embedding security, privacy, and responsible AI principles into all solution designs; mentor and guide onshore and offshore engineering teams to foster a high-performance, innovation-driven culture. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment. Qualifications: Minimum of 5 years of experience designing and leading enterprise-scale technology solutions, with demonstrated ownership of architecture and delivery in complex environments. Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related field is required. Strong background in cloud-native architecture on Microsoft Azure, including application services, data platforms, integration patterns, and DevOps automation. Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems, and RAG-style solutions, with experience taking concepts through production deployment. Solid understanding of full-stack systems, including modern web frameworks, backend services, APIs, and data integrations, with the ability to make pragmatic architectural trade-offs. Demonstrated experience leading and mentoring technical teams, influencing senior stakeholders, and serving as a trusted technical advisor with strong written and verbal communication skills. Ability to travel as required. Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa). KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $124735 - $254495 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
07/14/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist, AI Solution Architect to join our KPMG Managed Services practice. Responsibilities: Architect and lead end-to-end delivery of enterprise-scale AI solutions using Agile and DevOps practices, providing technical leadership across planning, development, code quality, reviews, and release management with tools such as Azure DevOps, JIRA, Git, and CI/CD pipelines. Design and implement secure, resilient, and scalable cloud-native architectures on Microsoft Azure, leveraging IaaS/PaaS services, modern application stacks, and enterprise data platforms to meet regulatory and performance requirements. Drive AI, GenAI, and agent-based solution strategy by leading proofs of concept and pilots, and guiding successful initiatives through transition into production-ready, operational platforms. Translate complex business needs into pragmatic technical solutions by partnering with business stakeholders, product owners, and enterprise architects to shape roadmaps, evaluate emerging technologies, and align AI capabilities to measurable business outcomes. Design and enable advanced agentic and intelligent automation patterns, including retrieval-augmented generation (RAG), multi-agent and A2A architectures, orchestration, state management, observability, and interoperable workflows that scale beyond pilot stages. Establish and enforce standards for architecture artifacts, documentation, deployment patterns, monitoring, and support while embedding security, privacy, and responsible AI principles into all solution designs; mentor and guide onshore and offshore engineering teams to foster a high-performance, innovation-driven culture. Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment. Qualifications: Minimum of 5 years of experience designing and leading enterprise-scale technology solutions, with demonstrated ownership of architecture and delivery in complex environments. Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related field is required. Strong background in cloud-native architecture on Microsoft Azure, including application services, data platforms, integration patterns, and DevOps automation. Proven expertise in AI-driven and modern data architectures, including GenAI, agent-based systems, and RAG-style solutions, with experience taking concepts through production deployment. Solid understanding of full-stack systems, including modern web frameworks, backend services, APIs, and data integrations, with the ability to make pragmatic architectural trade-offs. Demonstrated experience leading and mentoring technical teams, influencing senior stakeholders, and serving as a trusted technical advisor with strong written and verbal communication skills. Ability to travel as required. Applicants must be authorized to work in the U.S. without the need for employment based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment based visa). KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $124735 - $254495 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: Ensure successful technology development utilizing Agile / DevOps methodologies of complex systems and solutions Lead entire development life cycles with software engineering best practices, including setting coding standards, performing code reviews, running SCRUMs with JIRA expertise, source control management (Git, Sourcetree, etc.), configuring continuous integration, and continuous delivery systems (Jenkins, Nexus, Docker, etc.) Learn / analyze existing codebases / systems for the full stack and develop code as needed to support products and solutions (Technologies include: Cloud native IaaS / PaaS (Azure, AWS), Web UI frameworks (Angular, React, etc.), API definition (RAML, Swagger, JSON), Backend (Java, Databases, etc.), Integrations (ESB, legacy system integration, etc.) Help architect new applications by evaluating technologies working with solution architects and product managers Oversight of all documentation to ensure the development team are efficient / effective (technical details, setup information, standards, environments, etc.) Qualifications: A minimum of three years of technical full-stack development experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Deep understanding of Full-Stack development, including modern UI and backend coding fundamentals (JavaScript core best practices, object-oriented design, data structures, API design, complex problem solving, etc.) Proficiency with at least one modern JavaScript framework (Angular2/4, ReactJs, etc.), backend / AP RESTful service (Java with SpringMVC, etc.), cloud native solutions utilizing Azure / AWS, and DevOps tooling platforms (Jenkins, Ansible, Chef, or similar) Experience working with relational and non-relational databases (SQL Server, cosmos database, etc.) Ability to travel as required to support firm engagements Applicant must possess or be eligible for a U.S. Government clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
07/14/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice. Responsibilities: Ensure successful technology development utilizing Agile / DevOps methodologies of complex systems and solutions Lead entire development life cycles with software engineering best practices, including setting coding standards, performing code reviews, running SCRUMs with JIRA expertise, source control management (Git, Sourcetree, etc.), configuring continuous integration, and continuous delivery systems (Jenkins, Nexus, Docker, etc.) Learn / analyze existing codebases / systems for the full stack and develop code as needed to support products and solutions (Technologies include: Cloud native IaaS / PaaS (Azure, AWS), Web UI frameworks (Angular, React, etc.), API definition (RAML, Swagger, JSON), Backend (Java, Databases, etc.), Integrations (ESB, legacy system integration, etc.) Help architect new applications by evaluating technologies working with solution architects and product managers Oversight of all documentation to ensure the development team are efficient / effective (technical details, setup information, standards, environments, etc.) Qualifications: A minimum of three years of technical full-stack development experience; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university Deep understanding of Full-Stack development, including modern UI and backend coding fundamentals (JavaScript core best practices, object-oriented design, data structures, API design, complex problem solving, etc.) Proficiency with at least one modern JavaScript framework (Angular2/4, ReactJs, etc.), backend / AP RESTful service (Java with SpringMVC, etc.), cloud native solutions utilizing Azure / AWS, and DevOps tooling platforms (Jenkins, Ansible, Chef, or similar) Experience working with relational and non-relational databases (SQL Server, cosmos database, etc.) Ability to travel as required to support firm engagements Applicant must possess or be eligible for a U.S. Government clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work . Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
