Full-Time

Senior Software Development Engineer

Marketing Platform Automation

Posted on 5/9/2026

Morningstar

Morningstar

10,001+ employees

Independent investment research and data provider

No salary listed

Mumbai, Maharashtra, India

Hybrid

Hybrid with four days in-office per week.

Category
Software Engineering (1)
Required Skills
RabbitMQ
Kubernetes
FastAPI
Python
Software Testing
SQL
Apache Kafka
Java
Docker
Salesforce
AWS
Observability
REST APIs
Flask
OAuth
Requirements
  • Bachelor's or master's degree in computer science, Engineering, or a related field
  • 6+ years of experience in Software Engineering with hands-on backend development
  • Expert-level skills in Python (Flask/FastAPI, async/await, background workers) and SQL
  • Hands-on experience building event-driven systems with Kafka, RabbitMQ, or SQS (partitioning, consumer groups, idempotency, retry strategies, exactly-once semantics)
  • Experience designing REST APIs with authentication (OAuth, JWT), rate limiting, pagination, error handling, and comprehensive testing (unit, integration, contract tests)
  • Experience with containerization technologies (Kubernetes, Docker) and understanding of how to build cloud-scale delivery (scalability, resiliency, recoverability)
  • Solid understanding of software development methodologies, Agile practices, and DevOps principles
  • Ability to communicate complex technical tradeoffs concisely to non-technical stakeholders
  • Experience mentoring junior engineers on system design, testing practices, and operational excellence
  • Familiarity with marketing automation platforms (Marketo, Salesforce) or demonstrated ability to quickly learn SaaS platform APIs and design/maintain robust connectors preferred
  • Understanding of B2B marketing business domains (lead scoring, segmentation, campaign orchestration, analytics) preferred
  • Strong Java experience and ability to work in polyglot environments preferred
  • Experience in the financial industry or B2B SaaS platforms preferred
  • Experience designing for multi-tenancy, isolation, and compliance requirements preferred
  • Proven track record of driving operational improvements (SLO/SLI design, on-call health, alert reduction) preferred
Responsibilities
  • Design, develop, and maintain backend services and event-driven pipelines for our revenue platforms. Ensure the highest quality code with a focus on scalability, reliability, and maintainability. Write comprehensive tests (unit, integration, contract) and champion best practices in your team's codebase. Your hands-on backend expertise allows you to dive into the codebase when needed and set clear engineering standards
  • Own end-to-end event-driven systems (ingestion pipelines, connectors, data flows) with clear SLIs/SLOs (latency, throughput, delivery success rate). Lead incident response, drive post-mortem RCAs, and systematically improve monitoring, alerting, and runbooks. Champion observability-first development (structured logging, metrics, distributed tracing). Ensure your team understands the operational impact of their designs and takes responsibility for production reliability
  • Architect and maintain integrations with marketing automation platforms (Marketo, Salesforce, etc.). Design scalable ingestion pipelines for marketing events (clicks, opens, conversions, form submissions), ensuring deduplication, replay safety, and end-to-end SLOs. Lead connector development and data sync strategies. Partner with Enterprise Data Platform to design data warehouse ingestion and analytics capabilities. Translate business requirements into reliable, testable technical solutions
  • Leverage your strong background in event-driven systems, Python, data platforms, software architecture, messaging frameworks, and cloud technologies to drive the technical direction of our revenue platforms. Ensure adoption of best practices in API design, test automation, observability, and cloud-native delivery. Mentor junior engineers on system design, trade-off analysis, testing strategies, and operational excellence
  • Work closely with Product Management, Sales, Enterprise Data Platform, and Security teams to align engineering efforts with business goals. Translate complex technical concepts into actionable strategies for non-technical stakeholders (product, marketing, finance). Engage with B2B marketing domain experts to understand lead workflows, segmentation, and campaign orchestration requirements
  • Ensure high standards of performance, reliability, and security in systems owned by your team. Vigilantly identify and resolve impediments, whether technical debt, process bottlenecks, or resource constraints. Oversee the integrity of technical estimations and ensure projects are delivered on time with predictable quality
Desired Qualifications
  • Familiarity with marketing automation platforms (Marketo, Salesforce) or demonstrated ability to quickly learn SaaS platform APIs and design/maintain robust connectors preferred
  • Understanding of B2B marketing business domains (lead scoring, segmentation, campaign orchestration, analytics) preferred
  • Strong Java experience and ability to work in polyglot environments preferred
  • Experience in the financial industry or B2B SaaS platforms preferred
  • Experience designing for multi-tenancy, isolation, and compliance requirements preferred
  • Proven track record of driving operational improvements (SLO/SLI design, on-call health, alert reduction) preferred

Morningstar provides independent investment research and data to individual investors, financial advisors, and asset managers. It offers subscription-based access to a broad database of investment information, analytics, and tools through platforms like Morningstar Advisor Workstation, Morningstar Office Cloud, and Morningstar Cloud, plus managed portfolios and retirement services. The company differentiates itself with a wide breadth of data across retail and professional channels, strong ESG offerings through Sustainalytics, and an ecosystem that combines research, portfolio management, and retirement services. Its goal is to help users make informed investment decisions by delivering reliable data, analytics, and ESG insights while growing its subscription business.

Company Size

10,001+

Company Stage

IPO

Headquarters

Chicago, Illinois

Founded

1984

Simplify Jobs

Simplify's Take

What believers are saying

  • AI assistant launched in Direct Advisory Suite automates advisor workflows for US rollout in 2026.
  • 8% organic revenue and 18% adjusted operating income growth in 2025 fuel $1B share buyback.
  • Anthropic partnership positions Morningstar as AI truth layer, enhancing data accuracy globally.

What critics are saying

  • S&P Global's LCD bundles undercut PitchBook's private credit share within 12-24 months.
  • OpenAI's free research agent in late 2026 obliterates individual investor subscriptions.
  • SEC ESG scrutiny post-Sustainalytics slashes ratings revenue 20-30% by mid-2028.

What makes Morningstar unique

  • Morningstar integrates proprietary data, independent research, and AI across PitchBook and Direct Advisory Suite.
  • Acquired CRSP for $375M in February 2026, rebranding indexes benchmarked to $3T in US equities.
  • Sustainalytics acquisition bolsters ESG ratings, distinguishing from general financial data providers.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Unlimited Paid Time Off

Sabbatical Leave

401(k) Retirement Plan

401(k) Company Match

Paid Sick Leave

Parental Leave

Adoption Assistance

Hybrid Work Options

Stock Options

Professional Development Budget

Tuition Reimbursement

Mentorship Program

Employee Referral Bonus

Company Social Events

Company News

Yahoo Finance
Apr 1st, 2026
Snowflake appoints Jonathan Beaulier as CRO as Morningstar expands financial datasets on marketplace

Snowflake appointed Jonathan Beaulier as chief revenue officer on 31 March 2026, whilst Morningstar expanded its investment datasets on Snowflake Marketplace for institutional clients. The moves strengthen Snowflake's position in financial data workflows and place an experienced insider in charge of monetisation. The Morningstar expansion demonstrates how third-party content can deepen usage in key verticals like financial services. If Snowflake replicates this pattern across other data providers and industries, marketplace activity could become a more significant driver of consumption growth and customer retention, helping offset potential slowdowns in migration-driven revenue. However, Snowflake's dependence on hyperscaler infrastructure pricing remains a risk. The company's narrative projects $7.8 billion revenue by 2028, with some analysts forecasting $10.1 billion by 2029.

Business Wire
Mar 9th, 2026
Morningstar launches AI assistant for financial advisors embedded in Direct Advisory Suite

Morningstar has introduced an AI assistant embedded in Direct Advisory Suite, its flagship advisor platform. The tool integrates investment research, portfolio analysis and proposal generation into a single workspace, using natural-language requests to streamline advisor workflows. The AI assistant automates multi-step tasks including identifying rating changes, preparing meeting briefs and converting client statements into actionable proposals. It draws on Morningstar's independent data and research whilst maintaining enterprise-grade security, with client data never used for AI model training. The launch is part of Morningstar's strategy to become "the intelligence layer for investing". Initial rollout is available to select US-based users, with broader availability planned for US and Canadian clients throughout 2026. The tool can also be accessed through other AI platforms via Morningstar's Model Context Protocol connections.

Yahoo Finance
Feb 28th, 2026
Morningstar beats peer earnings and climbs 14.8% on strong revenue and EBITDA growth

Morningstar has raised $120 million in a Series C round led by Ribbit Capital, valuing the financial data and analytics company at $1.45 billion. The investment follows quarterly results that exceeded analyst expectations on revenue, earnings per share and EBITDA. Chief executive Kunal Kapoor highlighted meaningful growth in revenue, operating income and adjusted operating income for 2025. The results outperformed peers in the financial exchanges and data sector. Founded in 2023, the company is developing new foundation series collective investment trusts for retirement solutions and has hired Scott Brown to lead its direct platform with AI-enabled product rollouts. However, heavy investment in AI and platforms could pressure margins before revenue growth materialises. Community fair value estimates range from $115.77 to $595.65 per share.

Bloomberg L.P.
Feb 27th, 2026
AI gains can be unlocked without cutting jobs, Morningstar says

Companies are using artificial intelligence to justify cutting headcount rather than redeploying workers to boost productivity, according to Morningstar. Analyst Lochlan Halloway wrote that the market is focused on what AI might destroy instead of the value it could create. Firms including Australian logistics software company Wisetech Global have reduced their workforce in response to AI adoption. However, Halloway noted that such redundancies were already a pattern before AI emerged as justification for job cuts. The analysis suggests companies are missing opportunities to unlock AI's potential gains through workforce redeployment rather than eliminating positions.

Yahoo Finance
Jan 30th, 2026
Berkeley buys $3.8M stake in Morningstar as stock trades at lowest valuation since 2019

Berkeley acquired 17,382 shares of Morningstar for approximately $3.78 million during the fourth quarter of 2025, according to an SEC filing. The new position represents 1.2% of Berkeley's $314.47 million in reportable assets under management. Morningstar shares traded at $204.66 as of 28 January 2026, down 38.65% over the past year. The stock now trades at 23 times earnings, its lowest valuation since 2019, whilst its 0.9% dividend yield has reached its highest level since 2020. Morningstar provides investment research, financial data platforms and portfolio management tools to financial advisors, asset managers and institutional investors globally. The company operates a subscription-based business model and generated $2.40 billion in revenue over the trailing twelve months.