Senior Engineering Manager

Build a strong engineering team.

Guide the team, resolve conflicts and remove blockers.

Conduct performance reviews and career development discussions.

Build a healthy and inclusive team culture.

Own execution of engineering roadmaps.

Ensure projects are delivered on time and with quality.

Manage project planning, resource allocation, risk assessment, and dependency management across multiple initiatives. Balance technical debt with feature delivery.

Drive engineering productivity and predictability.

Work closely with Product Managers on roadmap planning.

Collaborate with Design, Customer Success, Sales, and Support teams.

Align engineering efforts with business objectives.

Communicate status, risks, and priorities to stakeholders.

Define engineering processes and metrics.

Improve CI/CD, testing, observability, and release management.

Manage incident response and postmortems.

Monitor team health and delivery metrics.

14–18 years of hands-on software engineering experience with deep expertise in backend systems and platform engineering.

6+ years of experience in managing a high performance team of 20+ engineers

Experience designing complex systems around data, applications, and enterprise-scale workloads.

Strong programming expertise in Java, Scala, Golang, or similar backend technologies.

Hands-on experience with distributed data processing and streaming technologies such as Apache Spark, Apache Flink, and Apache Kafka , along with NoSQL databases (e.g., Cassandra, MongoDB, HBase, DynamoDB).

Strong experience working within the Big Data ecosystem , including technologies such as Hadoop, HDFS, Hive, YARN, Iceberg, Trino, and Airflow , is highly preferred.

Expertise in project planning, resource allocation, risk assessment, and dependency management

Strong stakeholder management, communication, and problem-solving skills.

Ability to balance technical depth with people leadership and business priorities.

Exceptional problem-solving, debugging, and analytical skills.

Strong communication skills with the ability to engage effectively with engineering leaders, architects, product leaders, and executives.

Build products that solve some of the most challenging problems in Data and AI Observability.

Influence the architecture and technical direction of a category-defining platform.

Work on large-scale distributed systems serving some of the world's largest enterprises.

Collaborate with a world-class engineering team focused on innovation and technical excellence.

Enjoy significant ownership, autonomy, and opportunities to shape the future of the company and its products.