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Sr. Software Engineer : 197862

Columbus, OH

Order: 197862
Temp

We cannot accept Corp to Corp or 1099 candidates for this role.


Contract: 12 Month Contract

The position would be working for HKA at the COLUMBUS, OH facility

1 PTO day per month on the 1st of each month

9 paid holidays offered 


Outline:

ONSITE POSITION, MUST BE LOCAL TO COLUMBUS, OH AT THE TIME OF RESUME SUBMISSION PER THE CLIENT. Expect 4 days per week onsite, and one hybrid during onboarding/training (~2 months).  3 days onsite will be the ongoing expectation.


Team Focus: The GFBB Project team is focused on migrating the Finance backbone of the organization to SAP S/4HANA .

# of Team Members (FTE + CWF): 6 within SF2-US (Financial Services US) working directly on the project, with significant business contributions expected.  30 within C4-US (Sales Company). Global participation as well. 

Required Skill Set (Technical + Soft Skills) 3-4 years of experience in finance / accounting with SAP experience. Proficiency in SAP Financial modules (GL, AP, AR, Asset). Analytical and problem solving skills.

Nice To Have Skill Set (Technical + Soft Skills) Project Management experience & strong understanding of project management principles, methodologies and tools. Proficiency in project management software (MS Project, Jira, Confluence).

Desired Industry Experience: Financial Services

Onsite Expectations: Hybrid, 3 days a week standard in office with periodic needs for more. 

What business problem needs to be solved? Implementation of SAP S/4HANA.

Project Focus/Description: Implementation of SAP S/4HANA, with a role focus on testing and functional validation.


Qualifications:

The Sr. Software Engineer is responsible for system analysis, design, development and testing for their assigned technical product(s) or application(s), within the context of an agile/DevOps delivery model. In addition, they will extend their DevOps responsibilities to take on Operations topics and may also fill the Agile delivery roles of Business Analyst and Scrum Master.


Key Responsibilities:

Good understanding of Genai architecture including multi agent workflows

Develop and test AI algorithms and models.

Collect, analyze, and interpret data to identify patterns and insights.

Apply new techniques such as deep learning and evolutionary AI and natural language processing to business problems, automate tasks and create more intelligent systems and applications in ways that provide insight, accuracy and consistency.

Collaborate with cross-functional teams to integrate AI systems into products and services.

Maintain and continuously monitor and refine models to improve accuracy and performance.

Develop and maintain AI systems, including data pipelines and infrastructure.

Implement AI solutions and monitor their performance.

Troubleshoot and debug issues in AI models and systems.

Conduct research to identify new AI applications and techniques.

Document processes, algorithms.


Key accountabilities of the function: 

Analysis and Design: (Within the context of the client’s Software Development Life Cycle and other relevant processes)

Analyze business requirements

Perform technical analysis of new and existing systems

Triage and analyze tickets

Develop design documentation and other relevant collateral

Estimate work effort

Support, guide and lead other associates in the understanding of legacy systems


Development and Testing: (Utilize client’s standard practices for development and delivery of projects and maintenance tickets including the following key tasks)

Coding and configuration

Code reviews and peer consultations

Unit testing and unit test development

System, integration and user acceptance test planning, execution and testing support

Defect management and resolution

Operations and Support: (Fulfill the breadth of DevOps tasks, including)

Steering providers in the execution of tier 2 support tasks

Resolving escalated support topics

Leveraging and enhancing operations and development tools

Planning and executing upgrades and replacements to ensure that hardware and software components remain supported

Executing ITSM/ITIL processes to ensure ongoing stable operations and alignment with SLAs


Business Analysis: (Execute the Business Analyst Agile Role by)

Building a strong understanding of the assigned business processes, functions, roles and rules

Owning the functional solution– the big picture story – of the initiative being delivered

Collaborating with the Business to elicit requirements, define acceptance criteria, and maintain a prioritized product backlog

Creating user stories to the level of granularity required by the team

Clarifying inconsistencies and resolving issues to bridge the gap between user expectations and the delivered product

Testing deliverables against a user story’s acceptance criteria to validate that the delivered product meets the business goals


Scrum Master: (Execute the Scrum Master Agile Role by)

Leading the Agile team in the adoption and execution of Agile processes

Planning and facilitating key Agile events including daily scrum, sprint planning, sprint demo and retrospective meetings

Collaborating with the Product Owner to manage the Product backlog

Clearing obstacles and enabling the efforts of the scrum team


Coordination and Administration: (Support efficient work processes by)

Coordinating day to day activities with team members

Leading and mentoring other team members as appropriate

Coordinating release planning and off-cycle efforts

Resolving or escalating risks and issues

Executing resource planning and time tracking processes


Impact on innovations and changes (What is the expected extent of change of a function in terms of processes, systems, etc.?)

Balancing speed to market, product quality and cost in the design and implementation of technical solutions.

Developing technical solutions that appropriately account for both evolving technology and future business requirements.

Executing in an evolving agile environment


Purpose and subject of the interaction/communication with internal/external interfaces, negotiating mandate (e.g. What is communicated how to whom?)

Close collaboration with IT colleagues and the Business in the design and implementation of technical solutions.

Performance of activities and interactions with our internal and external customers through verbal or written communication should reflect adherence to the company’s core values.


Programming: Proficient with Python


Platform: Proficient with AWS


Education

Bachelor’s Degree


MUST HAVE:

5 - 10 years IT experience

3 - 5 years application development in a Microsoft environment


PREFERRED QUALIFICATIONS:

1 - 2 years Financial Services industry


Additional skills: special skills / technical ability etc.

Strong knowledge of common concepts, architectures and processes in software development.

Well-versed in dealing with common IT technologies (e.g. Java, .Net, C#, Web, databases, Siebel, or SAP)

Fully proficient in the core technologies used by client (C#, ASP, ASP.net, JavaScript, Angular JS, T-SQL)

Familiarity with financial services lease and loan applications.

Experience in a multi-location, international environment.

Strong written and verbal communication skills, including the ability to sell complex topics with members of management at all levels.


HKA Enterprises is a global workforce solutions firm. If you are seeking a new career opportunity or project experience, our recruiters will work to understand your qualifications, experience, and personal goals. At HKA, we recognize the importance of matching employee goals with those of the employer. We strive to seek credibility, satisfaction, and endorsement from all our applicants. We invite you to take time and search for your next career experience with us! HKA is an EEO Employer who participates in the US Citizenship and Immigration Services E-Verify Program.


110.00

Qualifications

  • Bachelor’s Degree
  • MUST HAVE: 5 - 10 years IT experience 3 - 5 years application development in a Microsoft environment Good understanding of Genai architecture including multi agent workflows Develop and test AI algorithms and models.