Accounts executive

Experience

9–18 Years

Education

IIT / NIT graduates only

Interview Process

Candidates must be available for a Face-to-Face interview in Bangalore or Mumbai.

Key Responsibilities

• Design and develop scalable, high-performance Java applications.
• Lead a team of engineers and drive technical excellence.
• Architect enterprise-grade solutions and provide technical guidance.
• Collaborate with cross-functional teams to define, design, and deliver high-quality software.
• Review code, mentor team members, and ensure engineering best practices.
• Drive system design discussions and resolve complex technical challenges.

Required Skills

• Strong expertise in Core Java and Java ecosystem.
• Excellent problem-solving and analytical skills.
• Very strong coding ability with clean coding practices.
• Strong understanding of System Design and distributed systems.
• Hands-on experience in Java Architecture and designing scalable applications.
• Experience leading engineering teams and mentoring developers.
• Good understanding of software design principles, design patterns, and performance optimization.
• Strong communication and stakeholder management skills.

Preferred Skills

• Experience with Spring Boot, Microservices, REST APIs, and cloud technologies.
• Exposure to CI/CD, containerization, and modern DevOps practices is an advantage.

Role & Responsibilities

1. Ansible Automation Design and maintain enterprise-grade playbooks, roles, and collections. Automate OS patching, configuration drift correction, security hardening, and compliance enforcement across AWS, Azure, VMware, and REST-integrated environments. Combine Ansible with Terraform for seamless post-provisioning configuration.

2. AWS Cloud Automation Architect serverless and event-driven automation using Lambda, Step Functions, EventBridge, SNS/SQS, S3 triggers, and Systems Manager. Build scalable, cross-account automation across AWS Organizations with proper IAM boundaries. Align all implementations with CIS, NIST, and AWS Well-Architected standards.

3. Kubernetes & Helm Develop and own custom Helm charts for multi-environment Kubernetes deployments. Manage the full Helm lifecycle including upgrades, rollbacks, and canary releases. Drive GitOps adoption using ArgoCD or Flux. Automate namespace management, RBAC, secrets, and network policies.

4. Infrastructure as Code & CI/CD Build reusable, versioned Terraform modules covering AWS networking, IAM, EKS, ECS, RDS, and security controls. Implement CI/CD pipelines for IaC using GitHub Actions or Azure DevOps — with automated testing, linting, drift detection, and policy enforcement baked in.

5. Security & Compliance Automation Automate CIS benchmark enforcement, vulnerability remediation, and infrastructure hardening. Integrate with CyberArk, AWS Secrets Manager, and SSM Parameter Store. Implement policy-as-code using OPA, Gatekeeper, or Conftest. Automate certificate lifecycle management end to end.

6. Observability & Auto-Remediation Connect automation workflows to New Relic and LogicMonitor for telemetry-driven triggers. Build self-healing routines that detect, diagnose, and resolve incidents automatically. Convert operational runbooks into fully automated diagnostic workflows to cut MTTR significantly.

7. ITSM Integration Integrate automation into SymphonyAI-driven ticketing, approval flows, CMDB updates, and change management processes. Build operational runbooks that map directly to ITSM workflows.

Ideal Candidate

• Strong Cloud Automation Architect Profile
• Mandatory (Experience 1) – Must have 8+ years of total experience with the last 6–7 years focused continuously on hands-on infrastructure automation in enterprise environments
• Mandatory (Experience 2) – Must have expert-level Ansible engineering, including advanced Jinja2 templating, dynamic inventory, custom module development, and designing enterprise-grade playbooks, roles, and collections across AWS, Azure, VMware, and REST-integrated environments
• Mandatory (Experience 3) – Must have strong Kubernetes and Helm expertise, including custom Helm chart authoring, multi-environment lifecycle management (upgrades, rollbacks, canary releases), namespace management, RBAC, secrets, and network policies — with GitOps adoption via ArgoCD or Flux
• Mandatory (Experience 4) – Must have deep Terraform knowledge, including reusable module design covering AWS networking, IAM, EKS, ECS, RDS, and security controls — with CI/CD integration (GitHub Actions or Azure DevOps) including automated testing, linting, drift detection, and policy enforcement
• Mandatory (Experience 5) – Must have solid AWS architecture knowledge, including serverless and event-driven automation (Lambda, Step Functions, Event Bridge, SNS/SQS, S3 triggers, Systems Manager), IAM design, cross-account automation across AWS Organizations, and multi-account networking aligned with CIS, NIST, and AWS Well-Architected standards
• Mandatory (Experience 6) – Must have experience with security and compliance automation including CIS benchmark enforcement, vulnerability remediation, infrastructure hardening, certificate lifecycle management, and integration with CyberArk, AWS Secrets Manager, and SSM Parameter Store
• Mandatory (Skill) – Must have proficiency in Python, Bash, or PowerShell for automation scripting, with proven ability to build production-grade automation frameworks end-to-end
• Preferred (Skill 1) – Experience with policy-as-code (OPA, Gatekeeper, Conftest) and IaC testing tools (Molecule, Terratest, Checkov, tfsec)
• Preferred (Skill 2) – Experience with multi-account AWS automation, service mesh (Istio/Linkerd), and ITSM integration (SymphonyAI or equivalent — ticketing, approval flows, CMDB updates, change management)
• Preferred (Skill 3) – Experience with AWS cost optimization automation and converting operational runbooks into self-healing diagnostic workflows

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Role Overview

This is a 20% technical, 80% non-technical role designed for individuals who can blend technical know-how with strong operational and communication skills. You’ll be the bridge between our product and the client’s operations team.

Key Responsibilities

• Collaborate with clients to co-design SOPs for resolving support queries across channels (chat, ticket, voice)
• Scope and plan each integration: gather technical and operational requirements and convert them into an executable timeline with measurable success metrics (e.g., coverage %, accuracy, CSAT)
• Lead integration rollouts and post-launch success loops: monitor performance, debug issues, fine-tune prompts and workflows
• Conduct quarterly “AI health-checks” and continuously improve system effectiveness
• Troubleshoot production issues, replicate bugs, ship patches, and write clear root-cause analyses (RCAs)
• Act as the customer’s voice internally, channel key insights to product and engineering teams

Must-Have Qualifications

• Engineering degree is a must; Computer Science preferred
• Past experience in coding and a sound understanding of APIs is preferred
• Ability to communicate clearly with both technical and non-technical stakeholders
• Experience working in SaaS, customer success, implementation, or operations roles
• Analytical mindset with the ability to make data-driven decisions

• Excellent verbal and written communication skills in English
• Strong customer service orientation
• Basic computer knowledge and typing skills
• Flexibility to work in shifts, including weekends and holidays
• Handle inbound/outbound customer calls regarding product/service inquiries and issues
• Ability to empathize with customers and provide appropriate solutions
• Good problem-solving skills
• Ability to work in a fast-paced and target-driven environment

Job Requirements :

- 4+ years of Java development experience

- 4+ years of microservice development experience with Spring boot framework

- Core & Advanced Java (Threading, Design Patterns, Data Structures) J2EE, REST web services

- Excellent knowledge of Enterprise Design Patterns

- Full stack development with Angular 8 experience will be a plus

- Experience with test driven software development

- Exposure to telecom domain

- ETOM/ SID which make the TM Forum framework

We are looking to connect with an experienced, skilled and motivated product designer for the lead role at BitClass, Bengaluru.

BitClass operates in the domain of live education by enabling teachers in setting up, selling, managing and delivering their live classes, all in one place. Founded by two accomplished serial entrepreneurs - Gunjan & Utsav, funded by some of the best institutional investors BitClass is striving for building the best in class PaaS platform for live learning.

Take a glance about the industry and our journey to know us better.

Responsibilities

• Understand the experience brief communicated by the product team
• Identify and transcribe the customer requirements into user stories, workflows and wireframes very early on in the project lifecycle
• Receive feedback and make the product evolve based on feedback and your personal assessment of such feedback
• Receive feedback and discuss when needed if you feel there is something more/better/different that can be done
• Develop UI mockups and interactive prototypes the team and client can interact with and test
• Identify and correct UI and UX issues/bugs
• Be the lighthouse of the team in terms of UX and UI best-practices
• Deliver designs catered to each stage of the project lifecycle
• Collaborate with the dev team
• Run tests and maintenance actions
• Deliver and adapt swiftly

Requirements

• 3+ years experience in app design both UX & UI
• Sharp eye for functional and efficient UX
• Ability to do design walkthrough with the client and PM
• Experience with tools such as Sketch, Invision, Zeplin, Abstract
• Understand platform design guidelines and follow them in designs

BitClass launches campus on the Internet for new-age skills, networking & more

Along with 100s of unique live courses, boasts of library, cafeteria and Amphitheatre to provide an exact offline campus experience.

https://tinyurl.com/5c2cad37" target="_blank">https://tinyurl.com/5c2cad37

• Need to develop applications in PHP, HTML5, JQuery and Node.JS.
• Need to interact with Team Leads, QA team, Deployment team
• Need to interact with in-house and external customers
• Need to interact with internal team members for integrated development
• Need to have good communication skills
• Will Report to Lead Developer - PHP

Skills required:

• Need to have experience in developing projects using PHP, MySQL, HTML5, JavaScript, AJAX, JQuery , CSS3, Elastic Search and Node.JS
• Need to have experience in implementing web frameworks
• Need to have experience in database concepts
• Need experience in unit testing
• Need to have experience in trouble shooting and analyzing run time errors

Preference of Educational background:

• B.E
• B.Tech
• MCA

Preference of Professional background:

• Should have strong knowledge and understanding of Software Development Life Cycle.
• Solid Work experience of Object Oriented Development and MVC Design & Core PHP
• Sound knowledge of JavaScript / AJAX technologies and methods.
• Prior experience with XML, JSON and SOAP web services.
• Hands-on experience in writing complex SQL queries.
• Excellent written and oral communication skills.
• Node.js, Angular.js is a plus
• Version control systems like Sub version, GITLAB