Senior mainframe developer to design, code, and test core banking Systematics modules. Lead data sourcing, migration strategy, product mapping, gap analysis, and client impact assessments. Produce high-level and detailed technical designs, perform peer code reviews, support end-to-end testing, and mentor junior team members using agile and waterfall methodologies.
- Expert knowledge and hands-on experience in Mainframe z/OS CICS, COBOL, VSAM, JCL, MQ, XML/MLI, Change-man and various tools on the mainframe. Assembler Knowledge is a plus
- Expertise in Systematics suite of core banking software (viz. IMPACS, Savings-Time, Relationship Management, Architecture systems etc.) is preferred
- 10+ Years of related experience
- Ability to understand data, lead core account transformation efforts by participating in data sourcing, data analysis and design of the migration strategy, including product mapping, gap analysis, client impact assessments and technical sequencing designs
- Understanding the Design Requirements and Preparation of High-Level Documents for projects and major enhancements
- Preparing Detail design and Technical Documents
- Ability to code and develop individual modules in both Batch and Online environments
- Peer reviews and preparation of code review and unit test plans. Support end-to-end testing which includes functional and unit testing, system integration and regressing testing
- Possesses strong knowledge of application development technologies, tools, agile and waterfall methodologies as well as all functional areas in an IT organization
- Strong interpersonal communication skills with the ability to articulate complex concepts to cross-functional audiences
- Ability to answer technical and procedural questions for less experienced team members; ability to teach and mentor less experienced team members
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provide telephonic nursing case management including assessment, care planning, coordination of discharge and follow-up, high-risk patient monitoring, motivational interviewing, documentation in the EHR, and collaboration with physicians and care teams to reduce readmissions and optimize outcomes.
Top Skills:
Care Management DashboardsElectronic Health Record
43 Minutes Ago
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Oversees daily clinical operations for Hematology/Oncology, Radiation Oncology, and Infusion Center services. Supervises staff, ensures competent compassionate patient care, supports accreditation, coordinates multidisciplinary teams, and may cross-cover centers or travel as needed.
Top Skills:
AriaBeaconEpicMS Office
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Customer-facing, hands-on AI builder who shapes strategic pursuits, designs end-to-end AI/GenAI architectures, prototypes demos and proofs-of-value, mentors solution leads, supports RFPs, and partners with engineering for implementation and delivery rotations.
Top Skills:
Ai AgentsAi FrameworksGenaiLlmsPythonRag
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
