Devops Engineer

Company: Sigmoid Analytics

Website: Visit Website

Business Type: Startup

Company Type: Product & Service

Business Model: B2B

Funding Stage: Series B

Industry: Software Development

Salary Range: ₹ 25-42 Lacs PA

Job Description Are you a strategic, hands‑on engineering leader passionate about building high‑scale data platforms and working directly with Fortune 500 clients ? Join us as a DataOps Lead and help shape the future of data engineering and AI‑driven decision systems.

About The Role As a DataOps Lead , you will design and manage highly scalable, fault‑tolerant data pipelines that support massive data ingestion, modelling, and analytics. You'll collaborate with VP- and Director‑level stakeholders across top enterprises to understand strategic business needs and translate them into robust technical solutions.

You’ll drive DevOps automation , oversee TB‑scale workloads , ensure high availability, guide engineering best practices, mentor teams, and play an active role in hiring and developing top technical talent . This is a high‑impact, hands‑on leadership role in a fast‑paced, entrepreneurial environment.

Key Responsibilities

• Design, deploy, and manage scalable, distributed Big Data components.
• Partner with Fortune 500 clients to understand requirements and influence technical strategy.
• Build and optimize CI/CD pipelines, monitoring systems, and DevOps processes.
• Lead root cause analysis and support massive TB‑scale production pipelines.
• Guide developers and DevOps engineers in design, automation, and support tasks.
• Drive internal technical excellence—mentoring, hiring, and conducting technical training.

Must‑Have Skills

• 8–12 years of relevant experience in data engineering, DevOps, or platform engineering.
• Expertise in building scalable, fault‑tolerant Big Data systems.
• Strong programming skills in Python/Java or a scripting language.
• Experience with Linux systems, Jenkins, and build/release processes.
• Hands‑on experience with AWS/Azure cloud environments.
• Strong background in CI/CD, automation, monitoring, and DevOps best practices.
• Ability to interface with senior stakeholders and convert business needs into technical solutions.
• Excellent communication, analytical thinking, and ability to work in fast‑paced startup environments.

Good‑to‑Have Skills

• Experience in Big Data support environments.
• Hands‑on exposure to the Hadoop ecosystem: HDFS, Hive, Spark, Kafka, Oozie, Impala, MapReduce, Kerberos.
• Experience with Docker, Kubernetes, and configuration management tools.
• Experience architecting and maintaining end‑to‑end Big Data solutions.

Why Join Us?

• Work with top global enterprises on cutting‑edge data engineering and AI initiatives.
• Lead high‑impact projects at scale.
• Be part of a fast‑growing, innovation‑driven culture.