Lead Developer at Intercontinental Exchange Holdings, Inc.
Hyderabad, Telangana, India -
Full Time


Start Date

Immediate

Expiry Date

08 Jul, 26

Salary

0.0

Posted On

09 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AWS, Airflow, Python, Terraform, Cloud Architecture, DevOps, CI/CD, Docker, Kubernetes, Data Pipelines, Infrastructure as Code, System Design, Leadership, Mentoring, IAM, Observability

Industry

Financial Services

Description
Job Description Job Purpose The New York Stock Exchange, part of Intercontinental Exchange (ICE), is seeking a Lead Developer with strong expertise in AWS cloud engineering, Airflow-based orchestration, and modern DevOps practices. In this role, you will lead design, development, automation, and optimization of cloud‑native data and compute pipelines that support high‑availability enterprise workloads. This is a hands‑on leadership role with significant architectural influence, ownership of cloud platform development, and the opportunity to mentor engineers while shaping how the organization builds and operates large‑scale systems. Responsibilities Cloud Engineering & Architecture (Primary Focus) Lead end‑to‑end design and implementation of AWS cloud solutions including compute, networking, storage, IAM, monitoring, and automation. Architect highly available, scalable, and secure environments using services such as: EC2, ECS/EKS, Lambda, S3, RDS/Aurora, DynamoDB, CloudWatch, CloudTrail, IAM, Step Functions, Secrets Manager, KMS. Define IaC standards and build reusable automation using Terraform or CloudFormation. Drive cloud modernization initiatives including containerization, serverless adoption, and event-driven architecture. Own environment strategy across dev/QA/prod, including VPC design, cost optimization, and infrastructure reliability. Airflow Development & DevOps (Primary Focus) Lead the development and operation of Apache Airflow orchestration workflows for data and application pipelines. Design DAGs that meet enterprise‑grade reliability, dependency management, observability, and SLA requirements. Build CI/CD pipelines to automate Airflow deployments, testing, and versioning. Optimize Airflow performance, including scheduler tuning, worker scaling, plugin management, and DAG run efficiency. Integrate Airflow with AWS services like S3, EMR, Glue, Lambda, Redshift, and on‑prem systems when required. Leadership & Cross‑Functional Collaboration Provide technical leadership and mentoring to engineering teams across cloud, data, and application development. Conduct design reviews, code reviews, and guide best practices for cloud architecture and DevOps engineering. Work closely with operations teams to ensure resilient, monitored, and supportable systems. Collaborate with product, business, and security teams to translate requirements into scalable cloud designs. Drive engineering excellence through automation, observability, documentation, and process improvements. Knowledge and Experience Bachelor’s degree in Computer Science, Engineering, or related field. 8+ years of software engineering experience, with 3+ years in a technical leadership or Lead Developer role. Deep expertise in AWS cloud architecture and hands‑on experience deploying production workloads. Strong, hands‑on experience in Airflow (designing DAGs, writing operators/hooks, administration, scaling). Proficiency in Python for backend automation, Airflow development, and cloud tooling. Strong knowledge of CI/CD pipelines, Git-based workflows, and DevOps practices. Experience with Docker, container orchestration (ECS/EKS), and microservices. Strong understanding of secure cloud design, IAM principles, and compliance practices. Preferred Knowledge and Experience Experience with data engineering stack (Glue, EMR, Kafka, Kinesis, Redshift). Infrastructure automation using Terraform preferred. Experience managing hybrid cloud/on‑prem connectivity. Strong monitoring/observability experience (CloudWatch, Prometheus, Grafana, ELK). Background in regulated industries or mission‑critical systems.
Responsibilities
Lead the design, development, and automation of cloud-native data and compute pipelines on AWS. Provide technical leadership and mentorship to engineering teams while ensuring high-availability and scalable system architecture.
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