Lead Software Engineer IBM TM1 at JPMC Candidate Experience page

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

0.0

Posted On

23 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Python, SQL, SDLC, Automation, CI/CD, Agile, AWS, Databricks, Oracle, SQL Server, AWS RDS, IBM Planning Analytics TM1, MDX, TurboIntegrator, API Integrations

Industry

Financial Services

Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification in software engineering with 5+ years of applied experience delivering system design, application development, testing, and operational stability. Advanced in one or more programming languages with strong Python for automation and SQL for data manipulation and analytics. Proficient across the full SDLC with expertise in automation and CI/CD; advanced understanding of agile practices, application resiliency, and security. Demonstrated proficiency with cloud and data platforms, including AWS and Databricks; experienced with Oracle, SQL Server, and AWS RDS. In-depth knowledge of financial services, including P&L, balance sheets, workforce planning, budgeting, forecasting, and financial consolidation. Deep expertise in IBM Planning Analytics TM1: cubes, dimensions, rules, feeders, MDX, TurboIntegrator processes, PAW, PAFE, security, and server maintenance. Hands-on development of TM1/Planning Analytics artifacts and performance-tuned models; sets standards for modeling, rules, feeders, and process orchestration. Provides technical leadership by mentoring developers, managing deliverables, ensuring cross-team collaboration, and aligning stakeholders. Excellent communicator able to translate complex technical concepts for non-technical audiences; experienced in client training, requirements gathering, and project management. Builds secure, high-quality production solutions with automation and API integrations (e.g., Python/TM1py) and experience with AWS or Planning Analytics SaaS. Preferred qualifications, capabilities, and skills Knowledge of industry wide technology trends and best practices Ability to work in large, collaborative teams to achieve organizational goals, and passionate about building an innovative culture

Responsibilities

The Lead Software Engineer will execute creative software solutions, design, development, and technical troubleshooting, while also developing secure, high-quality production code and reviewing others' work. Responsibilities include identifying opportunities to automate remediation of recurring issues and leading evaluation sessions with vendors and internal teams.