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    Job · 11573127

    Acceldata logo

    Senior Engineering Manager

    Acceldata · Bengaluru · onsite · Posted 68d ago

    Undisclosed14–18 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Acceldata is reimagining the way companies observe their Data!


    Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs.

    About the Role

    We are seeking an exceptional Senior Engineering Manager to lead an engineering team of 15-20 engineers. This is a techno-managerial role responsible for delivering high-quality software while ensuring the team is productive, engaged, and aligned with business goals. This role is responsible for managing a team that works on building the next generation of Acceldatas platform and products and owns the responsibility to ship the key features of the product on-time.

    As a Senior Engineering Manager, you will work closely with Engineering Leadership to build the product strategy, reviewing the product roadmaps, track the engineering progress and plan the releases. You will play a key role in hiring, coaching the team members, providing technical guidance and ensuring engineering excellence across the team.

    What Youll Do

    Technical Leadership

    • 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.

    People Leadership

    • 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.

    Project Delivery Management

    • 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.

    Cross-Functional Collaboration

    • 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.

    Operational Excellence

    • Define engineering processes and metrics.
    • Improve CI/CD, testing, observability, and release management.
    • Manage incident response and postmortems.
    • Monitor team health and delivery metrics.

    What Were Looking For

    • 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.

    Preferred Qualifications

    • Experience with large-scale data platforms, analytics systems, or data infrastructure products.
    • Experience building observability, monitoring, reliability, or platform engineering solutions.

    Why Join Us

    • 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 worlds 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.
    We care for our team
    Mentorship Growth
    ESOPs
    Medical and Life Insurance
    Paid Maternity Parental Leave
    Corporate Uber Program
    Learning Development Support

    Acceldata for All
    We are a fast-growing company, solving complex data problems at scale. We are driven by strong work ethics, high standards of excellence, and a spirit of collaboration. We promote innovation, commitment, and accountability. Our goal is to cultivate a healthy work environment that fosters a sense of belonging, encourages teamwork, and brings out the best in every individual.

    Why Acceldata
    Acceldata is redefining data observability for enterprise data systems. Founded by experts who recognized the need for innovative monitoring and management solutions in a cloud-first, AI-driven environment, our platform empowers data teams to effectively manage data products. We address common challenges such as scaling and performance issues, cost overruns, and data quality problems by providing operational visibility, proactive alerts, and monitoring reliability across the various environments.

    Delivered as a SaaS product, Acceldatas solutions have been embraced by global customers, such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Zoominfo, GSK, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun Bradstreet, and many more. Acceldata is a Series-C funded company and its investors include Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures.
    We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    data qualityTechnical LeadershipRelease ManagementAnalyticsOracle DBdebuggingBackendProject PlanningDistribution SystemRecruitment

    About Acceldata

    Acceldata logo

    Acceldata

    Internet

    100

    employees

    2018

    8 years old

    Bangalore,Karnataka

    India

    About

    All-in-One Enterprise Data Observability

    Industries

    InternetSoftware Product

    Employee ratings

    31 reviews

    3.0/ 5

    Culture

    3.1

    Career growth

    2.8

    Work-life

    3.0

    Employees rate it well for

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