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Senior Engineering Manager

Acceldata· Engineering – R&D (Dev)
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BengaluruFull-timePosted 2mo ago

About the role

Senior Engineering Manager to lead an engineering team of 15-20 engineers, responsible for delivering high-quality software, hiring and coaching, and aligning with business goals to build the next generation of Acceldata's platform and products.

Responsibilities

  • Guide architecture and design decisions.
  • Review technical proposals and trade-offs.
  • Establish engineering best practices.
  • Ensure scalability, reliability, security, and maintainability.
  • Partner with senior engineers and architects on technical strategy.
  • 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.

Qualifications

  • 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 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.

Skills

Required:Backend engineering leadershipArchitecture and designDistributed data processing

Benefits

  • Mentorship & Growth
  • ESOPs
  • Medical and Life Insurance
  • Paid Maternity & Parental Leave
  • Corporate Uber Program
  • Learning & Development Support
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Acceldata

AI-Native Data Management for the Modern Enterprise

Discover Acceldata, the industry’s first agentic data management platform, revolutionizing data observability, governance, optimization, and AI-driven operations. Enhance data reliability, reduce costs, and maximize efficiency across hybrid environments.

Data ObservabilityData ManagementAI-driven OperationsHybrid Environments
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