SEO Executive

Skills & Experience

● Minimum 8 years of experience in sourcing and managing HNI clients in wealth management or related financial services.

● Strong understanding of Equity and Debt Capital Markets, mutual funds, insurance, and structured investment solutions.

● Familiarity with global markets and international investment products will be an added advantage.

● High level of comfort with technology platforms, digital tools, CRM systems, and AI-assisted advisory workflows.

● Excellent communication, presentation, negotiation, and relationship management skills with strong proficiency in English

Company Description

Appiness Interactive Pvt. Ltd. is a Bangalore-based product development and UX firm that

specializes in digital services for startups to fortune-500s. We work closely with our clients to

create a comprehensive soul for their brand in the online world, engaged through multiple

platforms of digital media. Our team is young, passionate, and aggressive, not afraid to think

out of the box or tread the un-trodden path in order to deliver the best results for our clients.

We pride ourselves on Practical Creativity where the idea is only as good as the returns it

fetches for our clients.

About the Role

You will own the reliability of the distributed data systems, the streaming runtime and

processing engines that move hundreds of billions of rows per day for top-tier enterprises. This

is an SRE role for our big data stack: Kafka, Spark, Flink, Ray, Redis, and data warehouses, all

running on Kubernetes.

This is not a cloud-provisioning role. We are looking for someone who has lived inside stateful,

high-throughput systems in production who has chased down a broker outage, a checkpoint

stall, a crashlooping cache, and a sink that silently stopped writing, and who fixes the

architecture rather than the symptom. If keeping a large, busy data platform alive and fast is the

kind of problem you find satisfying, you will have a lot of fun working with us. This is a unique

opportunity to shape the foundation of a product that is defining the next wave of intelligent,

context-aware data movement.

Responsibilities

● Streaming & Data Plane Reliability: Own the health of our Kafka-based runtime

(managed via Strimzi on Kubernetes) - broker health, topic lifecycle and count

management, partition and throughput tuning, certificate/secret rotation, and version

upgrades - at a scale of hundreds of thousands of topics and hundreds of billions of rows

per day.

● Distributed Processing Engines: Operate and tune distributed system workloads in

production in collaboration with backend teams, resource allocation, autoscaling,

checkpointing, backpressure, and failure recovery for both batch and streaming jobs.

● Stateful Services: Run Redis clusters and other stateful systems reliably - failover,

persistence, liveness/readiness tuning, and capacity planning under heavy and bursty

load.

● Kubernetes & Operators: Take end-to-end ownership of Amazon EKS, Google GKE and

the operators (Strimzi and others) running our stateful data workloads - cluster lifecycle,

scaling, version upgrades, and resource governance.

● Observability: Build deep, data-aware monitoring - consumer lag, throughput, partition

skew, job latency, error rates - not just host and CPU metrics. Make the data plane's

behavior legible before it breaks.

● Incident Management: Lead root-cause analysis for distributed-systems failures (broker

outages, crashloops, sink decommissions, control-plane race conditions) and drive

durable fixes. Mitigate fast, but design out the recurrence.

● Infrastructure as Code & Automation: Provision and manage cloud infrastructure with

Terraform; build operational runbooks and automation, including for air-gapped/private

enterprise installs (pre-staged images, operator-facing procedures).

● Collaboration: Partner with platform, runtime, and connector engineering - and with

SREs and support - to ship and scale new data-movement features reliably in a

large-scale Linux environment.

Qualifications

● Experience: 6+ years in infrastructure, SRE, or DevOps, with significant time spent

operating production distributed data systems (not just application/cloud infra).

● Kafka: Deep, hands-on operational experience running Kafka at scale in production -

ideally on Kubernetes via Strimzi - including upgrades, topic/partition management,

performance tuning, and TLS/secret rotation.

● Distributed Processing (Strong Plus): Production experience operating one or more of

Spark, Flink, or Ray - resource tuning, checkpointing, failure recovery.

● Stateful Systems (Must Have): Production experience with Redis (clustering, persistence,

failover) and a solid understanding of operating stateful workloads on Kubernetes

(StatefulSets, PVCs, probes, operators).

● Data Warehouses: Familiarity operating against Snowflake, BigQuery, or similar, and an

understanding of JDBC connectivity and sink reliability.

● Kubernetes & EKS: Strong hands-on EKS cluster creation, scaling, version upgrades, and

operator management.

● Infrastructure as Code: Advanced proficiency with Terraform.

● Programming: Proficiency in Python (or similar) for automation and tooling. Comfort

reading and debugging JVM-based systems is a strong plus.

● Reliability Mindset: Demonstrated ownership of incident management, RCA, capacity

planning, and performance tuning for high-throughput systems.

● CI/CD: Solid understanding of CI/CD methodology (Jenkins, GitHub Actions, or GitLab CI)

for containerized and non-containerized apps. Supporting, not the core of the role.

● Nice to Have: Configuration management (Ansible preferred); broader AWS services

(IAM, VPC, EC2, S3, Lambda); AWS CloudFormation.

● Soft Skills: Excellent communication and organizational skills; ability to coordinate

effectively within a team and with customers.

Why This Might Be Worth It

● You own the hard part. The stateful, distributed systems that move billions of rows are

the platform's most demanding reliability problems - and they'd be yours.

● Impact at scale from day one. Your work keeps mission-critical data flowing for

companies like DoorDash and LinkedIn.

● The AI wave is real for us. We're not bolting AI onto a legacy product. Intelligent

connectors, context-aware data movement, and agentic workflows are the core of what

we're building next - on top of the runtime you'd run. ○ Small team, big problems. Direct

access to the CTO, real influence over product direction, and the autonomy to make

significant technical bets. ○ Recognized platform, startup energy. Enterprise validation

with the speed and ownership of an early-stage company.

Your Impact:

•                 Interact clearly with clients and the on-shore and off-shore project teams

•                 Regular involvement in thought leadership Best Practices development

•                 Facilitate end to end project design & development while working closely with global client

Your Skills & Experience:

•                 4 to 14 years of development experience in SFDC

•                 Excellent hands-on experience in Salesforce application development including VF, Apex Triggers, Asynchronous Apex

•                 Deep knowledge of Lightning framework

•                 Expertise in Business Requirement gathering, Analysis & conceptualizing high-level architectural framework & design

•                 Experience working with Sales or Service cloud, Community Cloud, Marketing Cloud

•                 Conceptualize end to end integration projects & knowledge of authentication mechanism

•                 Experience in REST & SOAP APIs, knowledge of Governor limits involved during Integration

•                 Working knowledge on continuous integration, working with repositories (e.g. Git)

•                 Should have experience to design the data flow and work with any ETL or dataloader

•                 Excellent experience in designing and architecting large scale applications

•                 Thorough understanding of Solution architecting & Estimation process

•                 Excellent consulting skills, oral and written communication, presentation, and analytical skills 

Set Yourself Apart With:

•                 Salesforce Certifications

•                 Knowledge of Heroku, Angular.js and Salesforce Einstein, Salesforce CPQ, CloudCraze B2B

•                 Incident and problem management skills

•                 Ability to provide necessary coaching to bring juniors up to speed on the technology

•                 Exceptional written skill for solution documentation creation for both technical and non-technical material

•                 Background in force.com platform and deployment experience in an outsourced service environment

•                 Articulation skills & Good team player

•                 Self-starter and self-learner with keen interest to grow

•                 Process orientation and the ability to define and setup processes

•                 Mentoring team members

Benefits of Working:

•                 Gender Neutral Policy

•                 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai)

•                 Generous parental leave and new parent transition program

•                 Flexible work arrangements

•                 Employee Assistance Programs to help you in wellness and well being  

ROLES AND 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.

Job Title: Company Secretary (Building Material)

Location: Surat

Experience: 3-8 year

Salary: Upto 18 LPA

Industry: Building material/ Manufacturing

Qualification; CS

 Company Secretary (CS) executive is one of the legal representatives of a company to perform and manage various regulatory functions. Company Secretary also plays a definite role as a Business Advisory to the Board of Directors by guiding them incorporate laws; corporate governance; strategic management; project planning; capital markets & securities laws. In short; a Company Secretary works as an in-house legal expert and compliance officer with the company.

KEY RESPONSIBILITIES :

·         Previous experience of working for listed companies is mandatory.

·         Advising on good governance practices and compliance of Corporate, Governance norms as prescribed under various Corporate, Securities and Other Business Laws and regulations and guidelines

·         Assists in developing a corporate and social sustainability framework if applicable

·         Handles the promotion, formation and incorporation of companies and matters related therewith

·         Responsible for filing, registering any document including forms, returns and applications by and on behalf of the company as an authorized representative like MOU, Sale deed, DSC maintain and record keeping of office and plant Maps, and other legal documents.

·         Coordinate the board/general meetings and follow-up actions thereof Manages all tasks relating to Securities and their transfer and transmission Acts as the custodian of corporate records, statutory books and registers.

·         Manages the Secretarial/Compliance Audit Signing of Annual Return where necessary and responsible for other declarations, attestations and certifications under the Companies Act, 1956, corporate laws and acts particularly relating to Securities and Exchange Board, Consumer Protection, Environment, Labour, Mergers

Mail updated resume with current salary-

Emil: jobs[at]glansolutions[dot]com

satish: 88 O2 74 97 43

Website: www.glansolutions.com

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