Similar Jobs
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Seeking an experienced GCP Data Engineer to develop, maintain data pipelines, and optimize SQL queries in BigQuery, collaborating with teams to deliver data solutions.
Top Skills:
BigQueryGCPPub/SubPythonSQL
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The GCP Platform Engineer will design, build, and manage GCP infrastructure, focusing on automation and collaboration with data engineers to ensure a reliable and secure environment.
Top Skills:
BashCi/CdGitlab CiGoogle Cloud BuildGoogle Cloud Platform (Gcp)JenkinsPythonTerraform
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
The role involves performing process reviews, developing Python applications, and maintaining prompts for LLMs, focusing on analytics and machine learning in a FinTech context.
Top Skills:
Machine LearningMicrosoft Azure CloudPython
Job Description
Overview: We are looking for a hands on QE VP lead capable of managing a set of technofunctional quality engineers to be able to drive critical multi-year initiatives on the TaxSmart platform. The individual should be able to work with the team and the stakeholders to build a plan for these initiatives, think through the various flavors of testing that might be needed to ensure platform delivery, quality and stability. Additionally, they should be able to drive multiyear quality initiatives around enhancing the QE team's capabilities to achieve specific KRAs around F2B testing, defect metrics, insprint automation, reusability in frameworks, prod issue leakage, fungibility and cross-skilling etc
Key Responsibilities:
Build holistic QE strategies around multi-year, multi application programs
Design, develop, and maintain reusable automated frameworks, tooling and utilities
Build CI automation capability
Collaborate with cross-functional teams and business users to understand application requirements and ensure comprehensive test coverage.
Build robust QE processes to ensure optimal and smart coverage and testing
Collaborate with the release and devOps teams to support pre and post deployment tests
Collaborate with the business users, tradeOps team, vendors etc to support UAT needs as applicable
People management for around 6-8 technofunctional QEs
Required Skills:
12+ years of experience in quality having run complex initiatives in fintech organisations, preferably in the asset, wealth management domain
Strong understanding of the AWM functioning and trading
Strong programming skills in Python, NodeJS, Java, Groovy, SQL, big data and an appetite to be able work on diverse technology at scale
Experience with version control systems (e.g., Git) and CI/CD tools.
Excellent problem-solving, communication, collaboration and presentation skills to work effectively in a team environment
Good understanding of industry best practices around QE and dev around SDLC, metrics, release management etc
Excellent leadership skills to be able to coach, groom and build clear career paths for individuals in the team
Overview: We are looking for a hands on QE VP lead capable of managing a set of technofunctional quality engineers to be able to drive critical multi-year initiatives on the TaxSmart platform. The individual should be able to work with the team and the stakeholders to build a plan for these initiatives, think through the various flavors of testing that might be needed to ensure platform delivery, quality and stability. Additionally, they should be able to drive multiyear quality initiatives around enhancing the QE team's capabilities to achieve specific KRAs around F2B testing, defect metrics, insprint automation, reusability in frameworks, prod issue leakage, fungibility and cross-skilling etc
Key Responsibilities:
Build holistic QE strategies around multi-year, multi application programs
Design, develop, and maintain reusable automated frameworks, tooling and utilities
Build CI automation capability
Collaborate with cross-functional teams and business users to understand application requirements and ensure comprehensive test coverage.
Build robust QE processes to ensure optimal and smart coverage and testing
Collaborate with the release and devOps teams to support pre and post deployment tests
Collaborate with the business users, tradeOps team, vendors etc to support UAT needs as applicable
People management for around 6-8 technofunctional QEs
Required Skills:
12+ years of experience in quality having run complex initiatives in fintech organisations, preferably in the asset, wealth management domain
Strong understanding of the AWM functioning and trading
Strong programming skills in Python, NodeJS, Java, Groovy, SQL, big data and an appetite to be able work on diverse technology at scale
Experience with version control systems (e.g., Git) and CI/CD tools.
Excellent problem-solving, communication, collaboration and presentation skills to work effectively in a team environment
Good understanding of industry best practices around QE and dev around SDLC, metrics, release management etc
Excellent leadership skills to be able to coach, groom and build clear career paths for individuals in the team
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
