- Location
- Gurugram, India · Gurugram, Haryana, India
- Department
- Product and Engineering
- Experience
- 5+ years
- Education
- Bachelor
- Source
- Greenhouse
Description
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
We are seeking an experienced and accountable Senior ODL (Operational Data Layer) Full Stack Software Engineer to provide technical leadership for the visualization and data delivery experiences that sit on top of our platform.
While colleagues on the team focus on ingesting Avro-based events and processing them through Flink and Databricks, you will lead the user-facing layer — architecting React/TypeScript applications, shaping REST service integrations, and defining caching and performance strategies so teams can explore and act on data quickly and reliably at scale.
You will mentor engineers, drive frontend and full stack best practices, and partner with BI and product stakeholders to deliver data-driven solutions. This is a key role for a leader who is passionate about scalable web systems, great user experience, and fostering a culture of curiosity and accountability.
What we are doing
The ODL (Operational Data Layer) team builds the platform that turns product activity into trusted, reusable data.
We partner with engineering teams across the company to help them emit Avro-based business events in a consistent, schema-governed way. Those events flow through our stream and batch data platform — processed with Apache Flink for real-time pipelines and Databricks for scalable ELT and lakehouse workloads — before landing in datasets and services that downstream teams can rely on.
The full stack engineering track owns the visualization and data delivery layer: web applications, REST API integrations, and the caching and performance patterns that make curated data feel fast and dependable for analytics, BI, and product teams. Together with our pipeline and platform engineers, we provide a clear path from event emission to insight.
As a Senior Full Stack Engineer, you will help shape the architecture of this experience layer — from frontend platform design and API integration patterns through to caching, testing, and delivery at scale — and mentor others on building durable, performant, user-facing data products.
What our stack is
Your work leads at the application layer of a broader data platform:
- Frontend: React, TypeScript, modern component and state-management patterns
- Services & APIs: REST integrations with Kotlin /JavaSpring Boot backends
- Caching & performance: HTTP caching, application-level caching, cache invalidation strategies, and API response optimization
- Data exposure: SQL-backed APIs, dashboard and visualization components, BI-oriented user experiences
- Quality & delivery: automated testing, CI/CD pipelines, code review
- Platform context: Avro-based events, Apache Flink, Databricks (collaboration with pipeline engineers)
- Observability: Prometheus, Grafana, ELK (and related tooling)
- Cloud & runtime: AWS / GCP / Azure, Docker, Kubernetes
You should bring deep strength in React/TypeScript and full stack architecture, with the breadth to lead design decisions across frontend performance, REST integration, and caching strategies.
Key Responsibilities
- Lead the architecture of data visualization and platform UIs built with React and TypeScript.
- Architect integration patterns and high-performance consumption of REST services backed by Kotlin/JavaSpringBoot.
- Own caching and performance strategy across the browser, API, and service layers.
- Define testing standards and mentor engineers on frontend, integration, and end-to-end test strategy.
- Partner with Data Science, BI, and product teams to translate business needs into scalable user-facing data products.
- Drive the vision and technical roadmap for BI dashboarding and data exploration platforms.
- Mentor and guide other engineers, promoting a team-focused and data-driven culture.
- Take accountability for the overall health, performance, and scalability of our user-facing data applications.
Required Qualifications
- 5+ years of experience in software engineering, with a proven track record of technical leadership in full stack roles.
- Expert-level programming skills in TypeScript and deep production experience with React.
- Deep experience designing and building scalable REST service integrations and data-oriented APIs.
- Strong understanding of caching principles and performance architecture for web applications.
- Proven success in designing, building, and maintaining automated CI/CD pipelines for full stack applications.
- Experience mentoring engineers and leading complex technical projects.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Hands-on experience with Kotlin / JavaSpringBoot service development.
Preferred Qualifications
- Experience building data platforms, dashboard frameworks, or analytics products from the ground up.
- Deep experience with cloud platforms (AWS, GCP, Azure) and designing cloud-native frontend delivery.
- Strong understanding of Kubernetes (K8s) and Docker in a production environment.
- Experience implementing modern observability stacks (e.g., Prometheus, Grafana, ELK).
- Advanced SQL skills and experience working with data-heavy user experiences.
- Experience with charting or visualization libraries (e.g., D3, Recharts, or similar) at platform scale.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to [email protected] before taking any further action in relation to the correspondence.
Candidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice. This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications.
