NeoGenCode Technologies Pvt Ltd

Job Title : Content Writer (AI, SEO & Content Marketing)

Experience : 1 to 6 Years

Location : Pune

Open Positions : 5

Work Mode : Work From Office (5 Days + Alternate Saturdays)

Compensation : 80% Fixed + 20% Variable

Notice Period : Maximum 30 Days

Job Overview :

We are looking for an experienced Content Writer with expertise in AI-powered content creation, SEO, and GEO / AEO optimization. The candidate should have experience creating high-quality, human-edited content that performs well on search engines, generative AI platforms, and answer engines.

Mandatory Skills :

Content Writing, AI Content Writing (ChatGPT / Gemini / Claude), SEO, GEO, AEO, Generative & Answer Engine Optimization, Content Marketing, Copywriting, and minimum 1 year of experience in Fintech / Automobile / Healthcare / Electronics domain.

Key Responsibilities :

• Create SEO, GEO and AEO-friendly content for digital platforms.
• Write blogs, articles, website content, landing pages, and marketing copy.
• Use AI tools like ChatGPT, Gemini, and Claude for content creation and optimization.
• Conduct keyword research and apply SEO / GEO / AEO best practices.
• Research industry trends and create engaging, audience-focused content.
• Collaborate with marketing teams to maintain consistent brand messaging.

Mandatory Skills & Requirements :

• 1 to 6 years of experience in content writing and AI-powered content marketing.
• Minimum 1 year of hands-on experience in GEO / AEO content writing.
• Strong understanding of generative engines and answer engines.
• Practical experience using ChatGPT, Gemini, Claude, or similar AI tools.
• Ability to create and human-edit AI-generated content.
• Minimum 1 year of domain experience in Fintech, Automobile, Healthcare, or Electronics.
• Graduate in Mass Communication or Media Studies from a premier institute (IIMC, FTII, SIMC, Lady Shri Ram College, etc.).
• Candidate age should be below 28 years.

Additional Details :

• Candidates from any location can apply but must be comfortable working from Pune.
• Must be available for face-to-face interviews.
• Maximum notice period: 30 days.

Interview Process : Underwriting Call → Criminal Background Check → HR Discussion.

Job Title : Partner Ecosystem Sales Manager – Enterprise IT Infrastructure

Experience : 6 to 16 Years

Open Positions : 3

Locations : Hyderabad, Mumbai, Bengaluru

Work Mode : Hyderabad – Hybrid (2 Days WFO); Mumbai & Bengaluru – Remote / WFH

Compensation : 70% Fixed + 30% Variable

Notice Period : Maximum 60 Days

Job Summary :

We are looking for an experienced, quota-carrying Enterprise Sales Manager with strong expertise in IT infrastructure sales and OEM / channel partnerships. The candidate will drive end-to-end enterprise sales by working closely with OEM partners and selling solutions across DevOps, DevSecOps, Observability, AIOps, and Real-Time Analytics.

Mandatory skills :

Enterprise IT Infrastructure Sales, OEM Partner Sales, Channel Sales, Enterprise B2B Sales, Pre-Sales, End-to-End Sales Cycle, Quota Achievement, ROI / TCO Business Cases, CRM, LinkedIn Sales Navigator, BFSI / FinTech / Manufacturing / Logistics.

Key Responsibilities :

• Drive partner-led and partner-influenced enterprise sales across JFrog, IBM Observability, and ClickHouse solutions.
• Build and manage relationships with OEMs, channel partners, resellers, and enterprise clients.
• Own the complete sales cycle, from prospecting and pre-sales to proposal development, negotiations, and deal closure.
• Engage with CTOs, CIOs, CISOs, and other senior stakeholders to understand business and technology requirements.
• Develop ROI, TCO, and value-based business proposals to demonstrate business benefits.
• Sell a combination of enterprise software licensing, implementation, consulting, and managed services.
• Generate new business opportunities using CRM, LinkedIn Sales Navigator, HubSpot, Apollo, and similar tools.
• Achieve assigned sales targets and maintain strong OEM and customer relationships.

Mandatory Requirements :

• 6+ years of experience in Enterprise IT Infrastructure Sales, Pre-Sales, IT Services Sales, or Partner / Channel Sales.
• Proven experience in quota-carrying enterprise sales with a track record of achieving or exceeding targets.
• Strong experience selling through OEM, reseller, channel partner, or VAR ecosystems.
• Hands-on experience managing the complete sales cycle, including prospecting, solution positioning, value engineering, and deal closure.
• Ability to engage senior decision-makers such as CTOs, CIOs, and CISOs.
• Experience selling to BFSI, FinTech, Manufacturing, or Logistics / Supply Chain clients.
• Working knowledge of CRM tools and LinkedIn Sales Navigator.
• Bachelor's degree in Business, Marketing, or a Technical discipline.

Preferred Skills :

• Experience with JFrog, IBM, ClickHouse, or competing platforms.
• Exposure to DevOps / DevSecOps, Observability, AIOps, Hybrid Cloud, or Real-Time Analytics solutions.
• Experience with platforms such as Datadog, Dynatrace, New Relic, Sonatype, Snowflake, or Databricks.
• Experience selling implementation, managed services, or ongoing support solutions.
• MBA would be an added advantage.

Important Details :

• This is an individual contributor role with direct sales target ownership.
• Candidates should have a stable career history and strong enterprise sales achievements.
• Hyderabad candidates must be comfortable with 2 days of office work per week.
• Mumbai and Bengaluru positions are remote / WFH.

Ideal Candidate : A strong enterprise hunter with proven OEM partnership sales experience, the ability to manage complex enterprise deals, and a consistent track record of achieving sales quotas.

Job Title : Enterprise Sales Account Manager – SAP

Experience : 8 to 16 Years

Open Positions : 6

Locations : Mumbai (Priority), Gurugram, Bengaluru

Work Mode : Work from Office – 5 Days a Week

Notice Period : Maximum 60 Days

Compensation : 70% Fixed + 30% Variable

Job Overview :

We are looking for an experienced Enterprise Sales Account Manager with a strong background in SAP sales and enterprise B2B business development in the Indian market.

The role requires a strong hunter mindset, with proven experience in acquiring new enterprise clients, managing end-to-end sales cycles, engaging CXO-level stakeholders, and closing high-value deals. The candidate will be responsible for driving new business opportunities for the company's FINESSART SaaS / Cloud platform.

Mandatory Skills :

Enterprise B2B Sales, SAP Sales (5+ Years), New Client Acquisition, End-to-End Sales Cycle Management, Hunter Mindset, Enterprise Account Management, CXO-Level Stakeholder Management, Pipeline Generation, Deal Negotiation & Closure, Revenue Target Achievement, SaaS/Cloud Sales.

Key Responsibilities :

• Identify and acquire new enterprise customers through proactive prospecting and business development.
• Own the complete sales cycle, from lead generation and pipeline development to negotiation and closure.
• Drive SAP-related enterprise sales, including SAP services and software licensing.
• Build relationships with CXO-level stakeholders such as CFOs, CIOs, COOs, and CPOs.
• Develop regional sales strategies and achieve individual revenue targets.
• Present business solutions, proposals, and ROI-driven value propositions to enterprise clients.
• Negotiate and close large, complex, high-value enterprise deals.
• Collaborate with internal sales and business development teams to generate new opportunities.

Mandatory Skills & Experience :

• 8+ years of overall B2B enterprise software sales experience.
• Minimum 5+ years of recent and relevant SAP sales experience (services or licensing; any SAP module).
• Strong hunter profile with proven experience in new client acquisition and end-to-end sales.
• Consistent track record of achieving or exceeding individual annual sales targets.
• Experience handling large enterprise accounts in the Indian domestic market.
• Strong CXO-level stakeholder management and negotiation skills.
• Excellent communication, presentation, and business development skills.
• Stable career history, preferably 2+ years with each organisation.
• Graduate in any discipline with a minimum of 60% aggregate.

Preferred Skills :

• Experience selling SaaS / Cloud-based enterprise solutions.
• Exposure to Procurement, Supply Chain, Sales, Distribution, or Finance solutions.
• Experience working with B2B SaaS/product-based companies.

Important Requirements :

• This is an individual contributor (IC) and target-driven sales role.
• Candidates must be based in or willing to relocate to Mumbai, Gurugram, or Bengaluru.
• Mumbai is the preferred location.
• Must be comfortable working from the office 5 days a week.
• Willingness to travel across India approximately 3 days a week.
• Candidates currently working with ICICI-backed companies are not eligible.

Job Title : Senior Intelex Platform Specialist (Administration, Development & Support)

Experience : 5+ Years

Open Positions : 1

Work Location : Bengaluru / Pune / Noida / Chennai

Work Mode : Hybrid – 2 Days Work From Office, 3 Days Work From Home

Joining : Immediate to 15 Days

Working Hours : Regular Day Shift

Role Overview :

We are looking for an experienced Senior Intelex Platform Specialist with strong hands-on expertise in administering, developing, customizing, and supporting the Intelex EHSQ platform in an enterprise environment.

The ideal candidate should have practical experience managing the complete Intelex platform lifecycle, including system administration, workflow configuration, application development, API integrations, data management, troubleshooting, and end-user support.

The candidate will work closely with business stakeholders, internal project managers, client-side technical teams, and vendors to implement and enhance EHSQ solutions for a client operating in the Construction Platform domain for the Oil & Gas industry.

Mandatory Skills :

Intelex EHSQ Platform (5+ Years), Intelex Administration, Intelex Development & Customization, L2 / L3 Technical Support, SQL, JavaScript, REST APIs, API Integrations, Workflow Configuration & Automation, System Administration, Data Migration, EHSQ Processes, Enterprise Application Implementation.

Key Responsibilities :

1. Intelex Platform Administration :

• Manage the Intelex EHSQ platform as the primary administrator.
• Handle user access, security roles, permissions, and system configurations.
• Configure and maintain workflows, forms, dashboards, reports, and scorecards.
• Manage platform upgrades, patches, and new module implementations.
• Maintain system documentation, configuration guides, and security matrices.

2. Intelex Development & Customization :

• Develop and customize Intelex applications using platform configuration tools, scripting, and APIs.
• Design and implement automated workflows based on business requirements.
• Develop advanced reports, dashboards, and business intelligence solutions.
• Build and maintain REST API integrations with enterprise applications.
• Support data migration, imports, exports, and system synchronization.

3. Technical Support & Troubleshooting :

• Provide Level 2 and Level 3 technical support for the Intelex platform.
• Troubleshoot complex application issues and resolve incidents.
• Perform root cause analysis and implement preventive solutions.
• Monitor platform performance and ensure system stability.
• Conduct data quality audits and maintain data integrity.

4. Stakeholder Management & Continuous Improvement :

• Collaborate with business teams to understand EHSQ requirements and translate them into technical solutions.
• Coordinate with Intelex vendors and internal IT teams for platform-related activities.
• Conduct user training sessions, webinars, and knowledge-sharing sessions.
• Prepare user manuals and technical documentation.
• Identify opportunities to improve platform usability, automation, compliance, and overall performance.

Mandatory Technical Skills :

• Intelex EHSQ Platform : 5+ years of hands-on experience in administration, development, customization, and support.
• System Administration : User management, roles, permissions, security, configurations, workflows, forms, dashboards, and module management.
• Intelex Development : Platform configuration, scripting, workflow automation, and application customization.
• SQL & Database : Strong knowledge of SQL, database operations, data management, and data migration.
• JavaScript : Hands-on experience with scripting and application customization.
• REST APIs : Experience in API development, integrations, and enterprise system connectivity.
• Technical Support : L2 / L3 support, incident management, troubleshooting, and root cause analysis.
• EHSQ Domain : Understanding of Environmental, Health, Safety & Quality processes, including incident management, audits, risk assessments, and compliance.

Preferred Skills :

• Experience with Power BI and Power Automate.
• Knowledge of advanced reporting and business intelligence solutions.
• Familiarity with ISO 14001, ISO 45001, ISO 9001, or similar compliance standards.
• Intelex certification or advanced Intelex platform training.
• Experience handling enterprise-level software implementations and large user bases.

Education :

Bachelor's degree in Computer Science, Information Systems, Environmental Health & Safety, or a related discipline.

Ideal Candidate Profile :

• 5+ years of overall professional experience with at least 5 years of hands-on Intelex EHSQ platform experience.
• Must have experience across all three areas: Administration, Development, and Technical Support.
• Should have independently managed Intelex configurations, customizations, integrations, and production support.
• Experience working in large enterprise environments is essential.
• Strong communication and stakeholder management skills.
• Ability to explain technical concepts and provide training to non-technical users.
• Excellent spoken and written English communication.

Interview Process :

1. Technical Interview – Internal Team
2. Technical Interview – Client Team

Important Note : This is a specialized requirement. Candidates must have genuine hands-on experience with the Intelex EHSQ platform. Experience with other EHSQ tools alone will not be sufficient.

Job Title : Head of AI / Forward Deployed AI Architect

Experience : 7+ Years

Job Location : Kokapet, Hyderabad

Working Model : Work From Office (5 Days a Week)

Working Days : Monday to Friday

Work Timings : 09:00 AM to 05:00 PM / 09:00 AM – 06:00 PM

Notice Period : Maximum 60 Days

Reporting To : CEO

About the Role :

We are looking for a highly experienced, hands-on Head of AI / Forward Deployed AI Architect who can lead the company's AI technology function and drive end-to-end AI solution delivery, from client discovery and solution architecture to development, deployment, and production success.

This is a strategic yet deeply technical and client-facing leadership position. The ideal candidate should have strong experience in AI/ML engineering, LLMs, Generative AI, agentic workflows, RAG architectures, and enterprise AI deployments, along with proven expertise in presales, solution consulting, and managing enterprise client relationships.

The person will work directly with the CEO, lead the technical department, establish project-based engineering pods, mentor AI engineers and consultants, and contribute to building the company's long-term AI architecture and technology strategy.

The company operates on a Services-to-Product (Services as Software) model, combining enterprise AI consulting, implementation, and reusable AI-powered solutions.

Mandatory Skills :

Python, Generative AI, LLMs, SLMs, RAG, Agentic AI, LangChain, LlamaIndex, Hugging Face, NLP, AI/ML, Multimodal AI, AWS / Azure / GCP, AI Solution Architecture, Production AI Deployment, Technical Presales, Enterprise Client Management, Team Leadership.

Key Responsibilities :

1. Enterprise Client Engagement & AI Consulting :

• Lead technical discovery sessions with enterprise and mid-market clients across global markets.
• Understand business challenges, operational pain points, data maturity, and AI readiness.
• Engage with CXOs, VPs of Operations, IT leaders, and other senior stakeholders as a trusted AI advisor.
• Conduct AI readiness assessments, technical workshops, and value-stream-mapping sessions.
• Translate ambiguous business requirements into practical AI use cases and implementation roadmaps.
• Build long-term client relationships that generate repeat business, referrals, and expanded engagements.

2. AI Solution Architecture & Presales :

• Own end-to-end solution design for AI consulting proposals, including use-case identification, technical architecture, data requirements, and ROI estimation.
• Develop and present technical PoCs, solution blueprints, architecture diagrams, and proposals.
• Work closely with commercial teams to create technically strong and commercially viable proposals.
• Lead technical responses to RFPs and RFIs.
• Define AI architecture patterns covering LLM orchestration, RAG pipelines, agentic AI workflows, and multimodal AI systems.
• Evaluate emerging AI frameworks, technologies, and research to identify opportunities for business adoption.

3. Hands-on AI Engineering & Deployment :

• Design, develop, and deploy production-grade AI/ML solutions using Python and modern AI frameworks.
• Build and optimize LLM applications, Small Language Models (SLMs), RAG pipelines, agentic systems, and multimodal solutions.
• Work on the complete AI lifecycle, including data ingestion, preprocessing, model development, orchestration, deployment, monitoring, and optimization.
• Handle production constraints, system integrations, scalability, performance, latency, and AI infrastructure costs.
• Optimize LLM token consumption, API credits, model usage, and overall solution economics.
• Troubleshoot production issues, improve system performance, and ensure successful client deployments.
• Drive go-live milestones, client acceptance, and post-deployment success metrics.

4. Technical Leadership & Team Development :

• Lead and develop the company's overall AI and technology department.
• Build a scalable project-based engineering pod structure for different client engagements.
• Define team structures, technical ownership, delivery responsibilities, and engineering standards.
• Recruit, mentor, and develop AI engineers, data scientists, and technical consultants.
• Guide teams on AI architecture, engineering best practices, client communication, and production delivery.
• Collaborate with engineering and data science teams to ensure technical feasibility and high-quality implementation.
• Establish reusable architecture patterns, internal frameworks, and solution accelerators.

5. Technology Strategy & Innovation :

• Define the company's long-term AI technology roadmap and architecture standards.
• Drive innovation across Generative AI, LLM applications, agentic workflows, RAG, and multimodal AI.
• Identify emerging technologies and frameworks that can improve solution delivery and business outcomes.
• Contribute to internal knowledge development through technical documentation, case studies, whitepapers, playbooks, and reusable AI accelerators.
• Help evolve the company's services business towards scalable, repeatable, product-oriented AI solutions.

Mandatory Skills & Experience :

1. Overall Experience :

• 7+ years of overall professional experience.
• Strong hands-on experience in AI/ML, Generative AI, NLP, Computer Vision, or advanced analytics.
• At least 4 years of experience in client-facing AI consulting, presales, solution architecture, or technical advisory roles.
• Proven experience working directly with enterprise-level clients.

2. Core AI & Technical Expertise :

• Strong programming experience in Python.
• Hands-on experience with LLMs, SLMs, and Generative AI applications.
• Experience building and deploying :
• RAG (Retrieval-Augmented Generation) pipelines.
• Agentic AI architectures and multi-agent workflows.
• LLM orchestration and application frameworks.
• Multimodal AI systems.
• NLP and advanced AI/ML solutions.
• Experience with frameworks such as LangChain, LlamaIndex, Hugging Face, or equivalent.
• Hands-on exposure to AWS, Azure, or GCP AI/ML services.
• Understanding of AI model deployment, monitoring, scalability, and production optimization.
• Strong understanding of API integrations, data pipelines, and enterprise system integration.
• Knowledge of LLM cost optimization, token usage, inference efficiency, and API credit management.

3. Presales & Solution Consulting :

• Proven experience in technical presales and AI solution consulting.
• Ability to lead technical discovery, use-case scoping, solution design, and ROI framing.
• Experience creating PoCs, technical demonstrations, architecture blueprints, and proposals.
• Experience responding to enterprise RFPs and RFIs.
• Ability to conduct workshops and AI readiness assessments.
• Strong communication and presentation skills, with the ability to explain complex AI concepts to business stakeholders.

4. Leadership & Client Management :

• Experience building and leading technical teams.
• Ability to establish project-based engineering pods and manage multiple delivery teams.
• Experience mentoring AI engineers, data scientists, and technical consultants.
• Strong ownership of project delivery, deployment, client acceptance, and business outcomes.
• Ability to manage ambiguity and work in a fast-paced startup environment.

5. Business & Industry Background :

• Experience working across both IT services/consulting and product-based environments.
• Preferably from AI/ML companies, data analytics firms, AI consulting organizations, data-platform companies, or B2B SaaS organizations.
• Experience in startup or growing organizations with 0-to-1 AI product or solution development exposure.
• Supply Chain AI, Manufacturing, Logistics, B2B SaaS AI, or MLOps experience will be an added advantage.

6. Educational Background :

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related technical discipline.
• Preferred institutions: IITs, BITS, NITs, and IIITs.
• Strong equivalent academic and professional credentials will also be considered.

Preferred Qualifications :

• Experience handling international clients across the US, Europe, Middle East, or Southeast Asia.
• Strong cross-cultural communication and stakeholder management skills.
• Experience in enterprise AI transformation and large-scale AI implementation.
• Exposure to Supply Chain, Manufacturing, Logistics, or Industrial AI use cases.
• Experience building AI teams and technical functions from an early-stage startup environment.

Ideal Candidate Profile :

The ideal candidate will be a hands-on AI technology leader with strong enterprise consulting and presales capabilities, who can independently own the complete AI engagement lifecycle.

The candidate should :

• Be equally comfortable discussing AI strategy with a CXO and building an AI solution hands-on.
• Have successfully taken AI solutions from initial client discovery to production deployment.
• Demonstrate strong technical depth rather than only high-level architecture or managerial experience.
• Have experience building and scaling technical teams.
• Be comfortable working in ambiguous, fast-moving startup environments.
• Demonstrate strong ownership, business understanding, communication, and problem-solving abilities.
• Be interested in a long-term technical leadership opportunity with equity participation.

Additional Information :

• This is a replacement position for the former AI Head / CTO.
• The company is an approximately one-year-old, self-funded startup with around 10 employees and positive operating performance.
• The position reports directly to the CEO.
• The organization follows a hybrid services-to-product business strategy, moving towards a Services-as-a-Software model.
• Five-day working week.
• Work timings : 09:00 AM to 05:00 PM or 09:00 AM to 06:00 PM.
• Work Location : Kokapet, Hyderabad.
• Candidates from any location across India can apply, provided they are open to relocating to Hyderabad.

Interview Process :

1. Initial Discussion : First-round discussion with the Founder or CFO to understand the candidate's background, experience, leadership capabilities, and expectations.
2. Technical Assessment : One or two technical rounds involving live scenarios to assess practical AI architecture, problem-solving, and hands-on technical expertise.
3. Final Interview : Mandatory face-to-face interview at the Hyderabad office.

Job Title : AWS Data Engineer / Data Lake Engineer

Experience : 2 to 4 Years

Location : Gurugram Sector 43

Work Mode : 5 Days WFO

Employment Type : Full-Time

About the Role :

We are looking for a skilled AWS Data Engineer with 2 to 4 years of experience in designing, developing, and maintaining data pipelines and cloud-based data platforms.

The candidate will work on an enterprise AWS Data Lake platform that collects data from multiple business systems, processes large datasets, and makes them available for analytics, reporting, and application development.

The ideal candidate should have strong hands-on experience with AWS data services, Python, PySpark, SQL, and Apache Airflow, along with an understanding of data warehousing and API-based data serving.

Mandatory skills :

AWS Data Lake, S3, EMR, Glue, Athena, Redshift, Lambda, RDS, DMS, IAM, Python, PySpark, Apache Airflow, Advanced SQL, ETL / ELT Pipelines, Data Modeling, PostgreSQL, Production Support.

Key Responsibilities :

• Develop, maintain, and optimize data ingestion and ETL / ELT pipelines on AWS.
• Work with AWS services such as S3, Glue, EMR, Athena, Redshift, Lambda, RDS, and DMS.
• Build and manage data processing workflows using Python, PySpark, and Apache Airflow.
• Implement data lake architecture with staging, curated, and consumption layers.
• Write complex SQL queries and perform data transformation, validation, and modeling.
• Work with PostgreSQL and RDS for structured data storage and consumption.
• Support API-based data access using Hasura GraphQL or similar technologies.
• Monitor production data pipelines, troubleshoot failures, and perform root cause analysis.
• Optimize Spark jobs, SQL queries, and data pipelines for performance and cost efficiency.
• Follow AWS security practices, IAM permissions, and data governance standards.
• Collaborate with application, analytics, and business teams to understand data requirements.

Mandatory Skills :

• 2 to 4 years of experience in Data Engineering, AWS Data Engineering, or Data Platform Development.
• Strong hands-on experience with AWS services : S3, Glue, EMR, Athena, Redshift, Lambda, RDS, DMS, and IAM.
• Good experience in Python and PySpark.
• Practical experience with Apache Airflow for workflow orchestration.
• Strong SQL skills and understanding of database concepts.
• Experience in building and supporting ETL / ELT pipelines.
• Understanding of Data Lake architecture, data warehousing, and data modeling.
• Working knowledge of PostgreSQL or similar relational databases.
• Experience handling production pipeline issues and troubleshooting.

Good to Have :

• Experience with Hasura GraphQL or any GraphQL-based API / data-serving platform.
• Knowledge of DBT (Data Build Tool).
• Understanding of Lakehouse architecture and table formats such as Apache Iceberg or Delta Lake.
• Experience with Kafka or other streaming data technologies.
• Knowledge of Amazon Redshift performance optimization, distribution keys, and sort keys.
• Experience with AWS Aurora and API Gateway.
• BFSI, Banking, or Insurance domain experience.

Ideal Candidate Profile :

• Strong hands-on technical and problem-solving skills.
• Experience working on real-time or batch-based production data pipelines.
• Good understanding of data processing, transformation, and storage concepts.
• Ability to troubleshoot technical issues and work independently.
• Good communication and collaboration skills.

Note : Candidates with strong practical experience in AWS Data Lake, PySpark, Airflow, Python, and SQL will be preferred. Real-world project experience is more important than theoretical knowledge or certifications.

Senior Software Engineer – SRE Products (Full Stack)

Work Mode: Remote

Experience: 7+ Years

Employment Type: Full-Time

Job Overview

We are looking for a skilled Senior Software Engineer to join our SRE Product Team. The ideal candidate should have strong expertise in Python, backend development, Node.js/TypeScript and AWS cloud technologies.

The role involves developing scalable applications, automation platforms, observability solutions and reliability engineering tools.

Key Responsibilities

• Design and develop scalable backend applications, REST APIs and microservices.
• Build automation platforms and self-service engineering tools.
• Develop cloud-native applications using AWS services.
• Build frontend interfaces using React or Angular.
• Implement monitoring, observability and application reliability solutions.
• Work with platform and cloud engineering teams to improve system performance.

Required Skills

• 7+ years of software engineering experience.
• Strong hands-on experience in Python.
• Good experience with Node.js, JavaScript and TypeScript.
• Expertise in REST APIs, Microservices and Backend Development.
• Hands-on experience with AWS (Lambda, ECS/EKS, API Gateway, DynamoDB, RDS, CloudWatch).
• Experience with React or Angular.
• Knowledge of Docker, Kubernetes and OpenShift.
• Experience with CI/CD pipelines and Terraform.
• Understanding of SRE principles, monitoring and observability.

Good to Have

• Dynatrace, Prometheus, Grafana, Splunk or OpenTelemetry.
• Experience building internal developer platforms.
• Exposure to AIOps, AI Agents or MCP.

Job Title : Infra Delivery Lead

Experience : 10+ Years

Joining : Immediate Joiners Only

Location : Gurugram, Pune, Bengaluru, Chennai, Bhopal, Jaipur, Hyderabad & Noida

Role Overview :

We are looking for an experienced Infra Delivery Lead to manage end-to-end 24x7 infrastructure operations across multiple towers, including Hosting, Network & Connectivity, DBA, Data Tribe and Infrastructure Command Center (L1.5).

Mandatory Skills :

IT Infrastructure Operations, End-to-End Service Delivery Management, 24x7 Multi-Tower Operations, Managed Services, SLA/KPI Management, ITIL, Incident & Problem Management, Major Incident Management (MIM), AWS/Azure, Windows/Linux, Networking, DBA, ServiceNow, Team Management, Client Stakeholder Management, Commercial & Contract Management.

Key Responsibilities :

• Own end-to-end delivery of L1.5 and L2 infrastructure operations.
• Manage SLA/KPI performance, service governance, reporting and client escalations.
• Lead P1 / P2 incidents, Major Incident Management (MIM), RCA and problem management.
• Manage Hosting, Network, Database, Cloud and Data Operations teams.
• Oversee change management, patching, backups, disaster recovery and availability.
• Handle resource planning, team management, shift rosters and 24x7 support.
• Manage client relationships, invoicing, contractual obligations and service reviews.
• Drive automation, process improvements and service quality.

Required Skills & Experience :

• 10+ years of experience in IT Infrastructure Operations.
• Strong experience in Infrastructure Service Delivery / Managed Services.
• Experience managing 24x7 multi-tower infrastructure operations and large teams.
• Good understanding of AWS, Azure, Windows/Linux, Networking, Oracle and SQL Server.
• Hands-on exposure to ServiceNow, ITIL processes, SLA management and MIM.
• Experience in client management, escalations, governance and contract management.
• Excellent communication and stakeholder management skills.

Good to Have :

ITIL 4, AWS / Azure, CCNA / CCNP certifications; exposure to Datadog, PagerDuty and Terraform.

Job Title : Senior Software Engineer (SRE Products – Full Stack)

Experience : 7+ Years

Domain : Site Reliability Engineering (SRE) Products

Role Overview :

We are looking for an experienced Senior Software Engineer to develop and scale SRE platforms, automation tools, observability solutions, and cloud-native engineering products.

The ideal candidate should have strong backend development expertise in Python, Node.js, JavaScript/TypeScript, and AWS, along with working knowledge of frontend technologies such as React or Angular. The primary focus will be on backend engineering, API development, and platform solutions.

Mandatory Skills :

Python, Node.js, JavaScript / TypeScript, REST APIs, Microservices, AWS, React / Angular, Kubernetes / EKS, CI/CD, Terraform / IaC, and SRE fundamentals (SLI / SLO, Observability, Incident Management & Automation).

Key Responsibilities :

• Design and develop SRE platforms, automation tools, observability solutions, and self-service engineering products.
• Build scalable REST APIs, microservices, and backend applications using Python and Node.js / TypeScript.
• Develop cloud-native applications using AWS services.
• Build frontend interfaces using React, Angular, or TypeScript frameworks.
• Implement reliability, monitoring, automation, and operational excellence practices.
• Work closely with cloud, platform, and application teams to improve system reliability.

Required Skills :

• 7+ years of software engineering experience with full-stack development exposure.
• Strong expertise in Python development.
• Hands-on experience with Node.js, JavaScript / TypeScript, REST APIs, and microservices.
• Strong understanding of distributed systems and backend architecture.
• Hands-on AWS experience: Lambda, ECS / EKS, API Gateway, DynamoDB, SQS / SNS, RDS, and CloudWatch.
• Frontend experience with React, Angular, or similar frameworks.
• Experience with Kubernetes, OpenShift, or EKS.
• Knowledge of CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, or CDK).
• Understanding of SRE concepts: SLI / SLO, observability, incident management, and automation.

Good to Have :

• Experience with Dynatrace, OpenTelemetry, Prometheus, Grafana, or Splunk.
• Experience building Internal Developer Platforms (IDP), self-service portals, or engineering productivity tools.
• Exposure to AIOps, AI Agents, MCP, RAG, or GenAI-based engineering solutions.

Key Focus : Strong Python + Backend Engineering + Node.js / TypeScript + AWS + SRE / Platform Engineering.

Job Title : Security Delivery Lead

Experience : 8+ Years

Location : Gurugram Sector 59

Working Mode : Hybrid (2 Days WFO)

Domain : IT Infrastructure & Security Operations

Job Overview :

We are looking for an experienced Security Delivery Lead to manage end-to-end 24x7 L1 / L2 Security Operations for a large enterprise client. The candidate will be responsible for managing multiple security towers, client relationships, service delivery, SLAs, escalations, commercial governance, and team management.

Mandatory skills :

Security Service Delivery, SecOps, MSP, 24x7 Operations, Network Security, IDAM, DLP, Endpoint Security, Zscaler, Palo Alto, Entra ID, CyberArk, CrowdStrike, ServiceNow, SLA Management, MIM, RCA, Client Management, Contract Management.

Key Responsibilities :

• Manage end-to-end 24x7 L1 / L2 Security Operations across Network Security, IDAM, Endpoint / Malware Security, DLP, and SecOps Command Center.
• Act as the primary point of contact for client stakeholders and senior management.
• Manage SLAs, KPIs, service reviews, operational reports, and governance meetings.
• Handle P1 / P2 incidents, Major Incident Management (MIM), escalations, and RCA.
• Manage team capacity, shift rosters, resource planning, and performance of 20+ engineers.
• Handle monthly invoicing, SOW, contractual obligations, change requests, and service credits.
• Ensure security compliance, audit readiness, and continuous service improvement.
• Drive automation, process optimization, and reduction of recurring incidents.

Required Skills :

• Strong experience in Security Operations and Infrastructure Managed Services (MSP).
• Experience managing multiple security towers in a 24x7 environment.
• Good understanding of Network Security, IDAM, DLP, Endpoint Security, and Email Security.
• Working knowledge of Zscaler, Palo Alto, Microsoft Defender, CrowdStrike, Entra ID, CyberArk, and Microsoft Purview.
• Strong expertise in ServiceNow, SLA / KPI management, MIM, RCA, and ITIL processes.
• Experience in client management, commercial governance, invoicing, and contract reviews.
• Excellent communication and stakeholder management skills.

Experience Requirements :

• 8+ years of overall IT / Security Operations experience.
• 5+ years of Security Service Delivery / Leadership experience in an MSP environment.
• Must have managed 24x7 security operations and teams of 20+ engineers.
• Experience handling global enterprise clients and senior-level escalations.

Preferred Certifications :

• CISSP / CISM
• ITIL 4 Foundation
• Microsoft SC-100 / SC-200
• Zscaler or Palo Alto certifications

Certifications are preferred, not mandatory.