Animation

Strong Java Backend Engineer.

Mandatory (Experience 1): Must have 5+ years of backend development with strong focus on Java (Spring / Spring Boot)

Mandatory (Experience 2): Must have been a SDE-3 or SDE-2 for at least 2.5 years in a Decacorn(title should be there in resume)

Mandatory (Tech skill 1) : Hands-on experience with RESTful APIs and microservices architecture

Mandatory (Tech skill 2): Strong understanding of distributed systems, multithreading, and async programming

Mandatory (Tech skill 3): Experience with relational and NoSQL databases

Mandatory (Tech skill 4) : Exposure to Kafka/RabbitMQ and Redis/Memcached

Mandatory (Tech skill 5): Experience with AWS / GCP / Azure, Docker, and Kubernetes

Mandatory (Tech skill 6) : Familiar with CI/CD pipelines and modern DevOps practices

Mandatory (Tech skill 7): Must have worked on core product/platform teams rather than support or internal tooling

Mandatory (Ownership & Impact): Candidate should demonstrate end-to-end ownership of backend systems, including architecture/design decisions (HLD/LLD), scalability improvements, or measurable production impact (resume should clearly mention metrics such as scale, throughput, latency improvements, reliability, cost optimization, or user impact)

Mandatory (Company) - Top New Age, Fast-scaled, Tech-First Product Companies (Like Series B+ / Unicorn Indian startups, or Tech-first Global companies like Amazon, Google, Microsoft etc)

Mandatory (Stability): Must have stayed for at least 2 years with each of the previous companies

Mandatory (Education): B.Tech in computer science or related field from Tier 1, Tier 2 colleges

Mandatory (Note): Education can be ignored for candidates with proven experience in strong, reputed product companies

Job Title : Lead – Monitoring

Experience : 8.5 to 14 Years

Location : Gurgaon, Sector 32 (Hybrid – 3 days office, 2 days WFH)

Work Mode : 5 Days Working

Department : Digital IT – Infrastructure & Services

Joining : Immediate to 15–20 days (Buyout option available)

Role Summary :

We are seeking a Lead – Monitoring professional to lead infrastructure, cloud (Azure/AWS), and synthetic monitoring initiatives.

The role demands deep expertise in observability tools, performance optimization, and proactive incident response, driving reliability across global systems.

This is a hands-on, non-admin role focused on engineering and automation, not infra administration.

Mandatory Skills :

Nagios, Microsoft SCOM, Site24x7, Azure/AWS cloud monitoring, performance analysis, incident response, Python/PowerShell scripting

Location Preference :

• Candidates from Delhi NCR preferred.
• Open to North India candidates willing to relocate to Gurgaon.
• Remote work is not available.

Key Responsibilities :

• Lead system performance monitoring using Nagios, Microsoft SCOM, Site24x7.
• Design and manage cloud & synthetic monitoring (Azure/AWS).
• Drive incident resolution and minimize downtimes.
• Build scalable, automated monitoring solutions (Python/PowerShell).
• Create and maintain dashboards, KPIs, reports.
• Collaborate across teams and lead monitoring practices.
• Mentor junior team members, ensuring knowledge sharing.

Good to Have :

• Certifications: ITIL Foundation, Microsoft Certified: Azure Administrator, Microsoft Certified: SCOM, CMP.
• Experience with cloud cost optimization, performance trend analysis.

Note :

• Admin-only profiles are not suitable.
• Strong Azure platform knowledge is essential.

Strong Lead DevOps / Infrastructure Engineer Profiles.

Mandatory (Experience 1) – Must have 7+ years of hands-on experience working as a DevOps / Infrastructure Engineer.

Mandatory (Experience 2) – Candidate’s current title must be Lead DevOps Engineer (or equivalent Lead role) in the current organization

Mandatory (Experience 3) – Must have minimum 2+ years of team management / technical leadership experience, including mentoring engineers, driving infrastructure decisions, or leading DevOps initiatives.

Mandatory (Experience 4) – Must have strong hands-on experience with Kubernetes (container orchestration) including deployment, scaling, and cluster management.

Mandatory (Experience 5) – Must have experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, Chef, or Puppet.

Mandatory (Experience 6) – Must have strong scripting and automation experience using Python, Go, Bash, or similar scripting languages.

Mandatory (Experience 7) – Must have working experience with distributed databases or data systems such as MongoDB, Redis, Cassandra, Elasticsearch, or Puppet.

Mandatory (Experience 8) – Must have strong hands-on experience in Observability & Monitoring, CI/CD architecture, and Networking concepts in production environments.

Mandatory (Company) – Candidates must be from Good / Well Funded / Early Stage Product-based companies.

Mandatory (Education) –B.E/ B.Tech

Role & Responsibilities:

1. Performing Manual Functionality Testing
2. Preparing Documentation like Test Plan, User manual etc.
3. Co-ordination with Business team for requirement understanding
4. Providing operational support as needed

Skills & Qualification:

1. BE or MCA
2. 2+ years of relevant work experience
3. Experience in Manual Testing of App, Web and APIs
4. Basic Knowledge of SQL
5. Knowledge of JavaScript and Automation Tool like Selinium, Jmeter etc. is preferred

Project Management

• Develop the integrated project plans to determine time frame, procedures for accomplishing projects
• Assess consolidated project plans for dependencies, gaps and continued business value
• Plan and manage project closure and/or transitions
• Work with stakeholders to establish and gain consensus on project goals, objectives and deliverables
• Conduct project reviews to recommend changes to project schedules or resource requirements
• Document and track project scope, changes, issues and risks that affect implementation
• Facilitate the daily stand-up to achieve team consensus
• Eliminate conflicts and assist in developing solutions to manage roadblocks
• Plan and manage testing cycle with customer

Customer Success

• 3-5 years experienced engineer in design; pre / post implementation tracking / successful execution on the following categories:
• Building management systems
• Security systems / cameras; sensors; beacons
• IOT implantation within campuses / buildings
• IT security systems – understanding of the way they work / get implemented
• Comfortable with client interactions and working with client’s vendors / partners

Other Areas:

• Participates periodically in client meetings or business development presentations as part of a Team to help demonstrate our capabilities. Assists with the development of marketing materials and support

Information/data. Maintains a working knowledge of business unit’s available product and service offerings.

Requirements:

Qualifications

• Bachelor's degree or above in computer science, information systems, technology, engineering are preferred.

Other disciplines are welcome to apply if you have a strong interest or sufficient knowledge in IT domains

• At least 4 years of experience in IT Project Management role and 6 years total professional experience
• Strong communication skills, well-versed in English (spoken and written) to facilitate cross border

Communications and collaborations

• Strong stakeholder management skills to communicate across various departments and levels
• Strong time management skills, detailed and results-oriented
• Familiar with startup environment and understanding of dynamics between design, engineering, product and customer service is a plus
• Experience with agile and project management software like Jira
• Committed to the values of integrity, accountability, and customer centric

We are looking for an outstanding Big Data Engineer with experience setting up and maintaining Data Warehouse and Data Lakes for an Organization. This role would closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Roles and Responsibilities:

• Develop and maintain scalable data pipelines and build out new integrations and processes required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 'Big Data' technologies.
• Develop programs in Scala and Python as part of data cleaning and processing.
• Assemble large, complex data sets that meet functional / non-functional business requirements and fostering data-driven decision making across the organization.  
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems.
• Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
• Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Provide high operational excellence guaranteeing high availability and platform stability.
• Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.

Skills:

• Experience with Big Data pipeline, Big Data analytics, Data warehousing.
• Experience with SQL/No-SQL, schema design and dimensional data modeling.
• Strong understanding of Hadoop Architecture, HDFS ecosystem and eexperience with Big Data technology stack such as HBase, Hadoop, Hive, MapReduce.
• Experience in designing systems that process structured as well as unstructured data at large scale.
• Experience in AWS/Spark/Java/Scala/Python development.
• Should have Strong skills in PySpark (Python & SPARK). Ability to create, manage and manipulate Spark Dataframes. Expertise in Spark query tuning and performance optimization.
• Experience in developing efficient software code/frameworks for multiple use cases leveraging Python and big data technologies.
• Prior exposure to streaming data sources such as Kafka.
• Should have knowledge on Shell Scripting and Python scripting.
• High proficiency in database skills (e.g., Complex SQL), for data preparation, cleaning, and data wrangling/munging, with the ability to write advanced queries and create stored procedures.
• Experience with NoSQL databases such as Cassandra / MongoDB.
• Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission.
• Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development).
• Experience building and deploying applications on on-premise and cloud-based infrastructure.
• Having a good understanding of machine learning landscape and concepts. 

Qualifications and Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.

Certifications:

Good to have at least one of the Certifications listed here:

    AZ 900 - Azure Fundamentals

    DP 200, DP 201, DP 203, AZ 204 - Data Engineering

    AZ 400 - Devops Certification

As an Magento Developer you can expect to be involved in a position with responsibility for the following:

Ø Develop and manage e-commerce websites, web applications & web sites on Magento.
Ø Analyze, design, code, debug, test, document & deploy applications.
Ø Development of custom extensions & modules in Magento.
Ø Work on Magento integration with external systems, viz CMS/CRM/ERP/Payment/Shipping etc.
Ø Exposure on Magento, CMS, CodeIgnitor, OpenCart, JavaScript/ jQuery.
Ø Understanding client requirements and translating them to effective error free web based solutions.

Other Details: -

• Qualification: Any.
• Experience: Min 1 Years of Experence in MAGENTO
• Package: Upto Rs 35,000/- (Depends on Experience)
• Working Days & TIMINGS: - Monday to Friday 10.00 Am to 7:00 Pm
• Location: Mohali