3,269 AWS (Amazon Web Services) Jobs in India

Job Description: Associate Director-Data Engineering (Databricks Lakehouse Architect + Cloud Data Engineering Leader)

About our Client -

Client is a leading SAP consulting and digital transformation partner committed to delivering innovative, high-impact solutions across enterprise analytics, cloud, and intelligent business platforms.

As enterprises modernize their data landscapes, the role of traditional data warehousing is rapidly evolving into scalable cloud-native Data Lakehouse architectures. Applexus is expanding its modern data engineering capabilities to help customers integrate enterprise data from SAP and non-SAP ecosystems, build advanced analytics platforms, and enable future-ready AI-driven solutions.

We are looking for an accomplished Databricks Lakehouse Architect / Cloud Data Engineering Leader who can play a key role in this transformation journey — designing modern data platforms, leading cloud data engineering initiatives, and bridging enterprise analytics with next-generation technologies.

The ideal candidate will combine strong hands-on expertise in Databricks, Spark/PySpark, Delta Lake, and Azure/AWS cloud platforms with the ability to engage customers, architect solutions, guide engineering teams, and drive successful delivery.

Role Overview:

We are looking for a hands-on Data Engineering leader who can architect modern cloud data platforms using Databricks Lakehouse and lead solution design, delivery, and engineering teams. This role requires strong technical ownership rather than a pure people management background.

Key Responsibilities:

• Architect scalable Data Lakehouse platforms

• Own solution design, estimation, architecture reviews and client discussions

• Build and optimize enterprise data pipelines

• Provide technical guidance to data engineering teams

• Establish best practices around performance, governance and architecture

Must Have - Databricks Architecture:

• Databricks Lakehouse design

• Delta Lake implementation

• Apache Spark / PySpark engineering

• Medallion architecture (Bronze/Silver/Gold layers)

• Data pipeline optimization

• Unity Catalog and data governance exposure

Cloud Platform Expertise (depth in one required):

Microsoft Azure:

• Azure Databricks

• Azure Data Factory (ADF)

• Azure Data Lake Storage (ADLS)

• Azure Synapse Analytics

OR

Amazon AWS:

• Databricks on AWS

• Amazon S3

• AWS Glue

• Redshift

• Athena

Good to Have:

• Snowflake

• ML Engineering exposure

• Cloud/Data Engineering certifications

Ideal Candidate:

A hands-on architect who can talk to customers, design solutions, estimate projects, guide engineers and review architecture while helping build a modern Data Engineering practice.

 We are looking for an accomplished Databricks Lakehouse Architect / Cloud Data Engineering Leader who can play a key role in this transformation journey — designing modern data platforms, leading cloud data engineering initiatives, and bridging enterprise analytics with next-generation technologies.

The ideal candidate will combine strong hands-on expertise in Databricks, Spark/PySpark, Delta Lake, and Azure/AWS cloud platforms with the ability to engage customers, architect solutions, guide engineering teams, and drive successful delivery.

If you are a hands-on Data Architect who enjoys building modern data platforms and wants to move beyond execution into solution ownership and leadership, I would love to connect.

Job Summary :

We are looking for a proactive and skilled DevOps Engineer to join our team and play a key role in building, managing, and scaling infrastructure for high-performance systems. The ideal candidate will have hands-on experience with Kubernetes, Docker, Python scripting, cloud platforms, and DevOps practices around CI/CD, monitoring, and incident response.

Key Responsibilities :

- Design, build, and maintain scalable, reliable, and secure infrastructure on cloud platforms such as AWS.

- Implement Infrastructure as Code (IaC) using tools like Terraform, Cloud Formation, or similar.

- Manage Kubernetes clusters, configure namespaces, services, deployments, and auto scaling. CI/CD & Release Management

- Build and optimize CI/CD pipelines for automated testing, building, and deployment of services.

- Collaborate with developers to ensure smooth and frequent deployments to production.

- Manage versioning and rollback strategies for critical deployments.

- Containerization & Orchestration using Kubernetes.

- Containerize applications using Docker, and manage them using Kubernetes.

- Write automation scripts using Python or Shell for infrastructure tasks, monitoring, and deployment flows.

- Develop utilities and tools to enhance operational efficiency and reliability.

- Monitoring & Incident Management

- Analyze system performance and implement infrastructure scaling strategies based on load and usage trends.

- Optimize application and system performance through proactive monitoring and configuration tuning.

Desired Skills and Experience :

- Experience Required - 6+ yrs.

- Hands-on experience on cloud services like AWS, EKS etc.

- Ability to design a good cloud solution.

- Strong Linux troubleshooting, Shell Scripting, Kubernetes, Docker, Ansible, Jenkins Skills.

- Design and implement the CI/CD pipeline following the best industry practices using open-source tools.

- Use knowledge and research to constantly modernize our applications and infrastructure stacks.

- Be a team player and strong problem-solver to work with a diverse team.

- Having good communication skills.

🚨 Hiring: Site Reliability Engineer (SRE) 🚨

We are looking for experienced professionals with strong expertise in Kubernetes, AWS, programming, and application monitoring.

🔹 Must-Have Skills:

• Kubernetes
• AWS
• Java or Python (any one programming language)
• Splunk
• Dynatrace or any application monitoring tool

🔹 Added Advantage:

• Knowledge of SRE concepts
• Deployment strategies
• Building and configuring alerts
• Creating monitoring dashboards using Grafana / Dynatrace / Splunk
• Build and deployment concepts

📩 Interested candidates: Share your updated resume.

Email: pavithra.e @vysystems .com

Contact: 8 9 2 5 8 0 2 4 5 7

#Hiring #SRE #SiteReliabilityEngineer #Kubernetes #AWS #Java #Python #Splunk #Dynatrace #Grafana #ITJobs

TECHJAYS

THE AI REIMAGINATION COMPANY

Position DevOps Lead

Experience 10+ Years

Location Coimbatore / Hybrid

Joining Immediate / ASAP

Primary SkillsDevOps, AWS or Azure, CI/CD, Kubernetes, Docker, Terraform, Linux, Git, Cloud Infrastructure, Infrastructure Automation, Monitoring & Observability

Preferred SkillsAI/ML Infrastructure Exposure, GenAI Applications, GitOps, Argo CD, Prometheus, Grafana, Python, Bash, PowerShell, Cloud Security, FinOps

About Techjays

At Techjays, we're helping businesses reimagine how they build, operate, and scale with AI at the core. We focus on developing secure, scalable, production-grade AI systems that solve complex business challenges and deliver measurable business outcomes.

Our team brings together experienced engineers and technology leaders from organizations such as Google, NetApp, ADP, Cognizant Consulting, and Capgemini. We work with global clients to build advanced AI-powered applications, enterprise platforms, and intelligent automation solutions.

We're looking for a DevOps Lead who can take ownership of cloud infrastructure, deployment automation, CI/CD pipelines, platform reliability, and engineering operations.

The ideal candidate will have deep hands-on expertise in either AWS or Azure, along with strong experience in Kubernetes, containerization, Infrastructure as Code, and production cloud environments.

You will lead the design and implementation of reliable infrastructure platforms, establish DevOps best practices, and work closely with software engineering and AI teams to support the deployment and operation of modern applications.

This role requires a strong hands-on cloud and DevOps specialist who can architect, implement, troubleshoot, and optimize production infrastructure. Prior exposure to AI/ML or AI-enabled applications is required, but specialized MLOps expertise is not mandatory.

Key Responsibilities

1. Cloud Infrastructure & Architecture

• Lead the design, implementation, and management of scalable, secure, and highly available cloud infrastructure.
• Own cloud infrastructure architecture and operations across AWS or Azure.
• Design and manage cloud environments covering compute, networking, storage, databases, and container platforms.
• Establish infrastructure standards, architecture patterns, and operational best practices.
• Manage cloud resource provisioning, configuration, scaling, and environment management.
• Ensure infrastructure meets requirements for availability, performance, security, and reliability.
• Drive infrastructure improvements through automation and continuous optimization.

2. DevOps & CI/CD Engineering

• Design, implement, and maintain CI/CD pipelines for application development and deployment.
• Manage multi-stage deployment workflows across development, testing, staging, and production environments.
• Implement automated build, testing, deployment, and release processes.
• Establish reusable pipeline templates, deployment standards, and approval workflows.
• Manage deployment strategies, including rolling, blue/green, and canary deployments.
• Implement rollback mechanisms and ensure reliable production releases.
• Integrate CI/CD workflows with source control, artifact repositories, and container registries.
• Continuously improve deployment efficiency, release reliability, and engineering productivity.

3. Containerization & Kubernetes Management

• Architect and manage containerized application environments using Docker and Kubernetes.
• Manage production Kubernetes clusters using Amazon EKS or Azure AKS.
• Implement Kubernetes configurations covering deployments, services, networking, secrets, storage, and resource management.
• Work with Helm charts for application packaging and deployment.
• Optimize container resource utilization, application scaling, and cluster performance.
• Troubleshoot complex container and Kubernetes-related production issues.
• Establish best practices for container security and workload reliability.

4. Infrastructure as Code & Automation

• Implement Infrastructure as Code using Terraform and cloud-native provisioning tools.
• Automate infrastructure provisioning, configuration management, and environment setup.
• Develop reusable infrastructure modules and deployment automation workflows.
• Use Python, Bash, or PowerShell to automate operational tasks and improve efficiency.
• Reduce manual intervention through standardization and automation.
• Maintain infrastructure documentation, configuration standards, and version-controlled deployment workflows.

5. Monitoring, Reliability & Production Operations

• Establish centralized monitoring, logging, alerting, and observability across cloud environments.
• Implement monitoring solutions using CloudWatch, Azure Monitor, Prometheus, Grafana, or equivalent platforms.
• Monitor application availability, infrastructure health, resource utilization, and system performance.
• Lead troubleshooting and resolution of complex production incidents.
• Conduct root cause analysis and implement permanent corrective actions.
• Establish operational practices for backup, disaster recovery, availability, and business continuity.
• Improve system reliability through proactive monitoring and performance optimization.

6. Cloud Security & Governance

• Implement cloud security best practices across infrastructure and application environments.
• Manage IAM, RBAC, access controls, service identities, and secrets management.
• Secure cloud networking, virtual networks, firewalls, and infrastructure access.
• Implement container security and infrastructure hardening practices.
• Ensure cloud environments follow organizational security and compliance requirements.
• Identify infrastructure vulnerabilities and coordinate remediation activities.
• Establish secure deployment and configuration management practices.

7. AI Infrastructure & Engineering Collaboration

• Work closely with AI/ML and software engineering teams to provide infrastructure for AI-powered applications.
• Support the deployment and operation of LLM-based applications, AI services, and AI-enabled platforms.
• Design cloud infrastructure capable of supporting AI workloads, including compute, storage, networking, and containerized services.
• Support the infrastructure requirements of AI applications across development, testing, and production environments.
• Collaborate with engineering teams to improve deployment reliability, scalability, and operational performance of AI-powered systems.
• Evaluate infrastructure technologies and tools that support evolving AI application requirements.

8. Technical Leadership & Team Development

• Provide technical leadership to DevOps engineers and guide implementation across projects.
• Establish engineering standards, infrastructure best practices, and operational procedures.
• Mentor team members on cloud architecture, automation, CI/CD, Kubernetes, and production operations.
• Lead technical discussions and make architecture decisions involving infrastructure and DevOps technologies.
• Collaborate with engineering, security, and product teams to align infrastructure capabilities with business requirements.
• Drive continuous improvement across DevOps processes, tools, and engineering practices.

Required Technical Skills & Experience

1. Cloud Platforms

• 10+ years of overall experience in DevOps, cloud infrastructure, or platform engineering.
• Strong hands-on expertise in at least one major cloud platform: AWS or Azure.
• Practical experience designing, deploying, and operating production-grade cloud infrastructure.

AWS: EC2, S3, IAM, VPC, EKS, Lambda, ECR, CloudWatch, and related infrastructure services.

Azure: Azure Virtual Machines, VNets, AKS, Azure DevOps, Azure Container Registry, Azure Monitor, Key Vault, and related infrastructure services.

Candidates do not need to be experts in both AWS and Azure. Deep expertise in either platform is the priority.

2. DevOps & CI/CD

• Strong experience designing and maintaining CI/CD pipelines.
• Hands-on experience with Azure DevOps, Jenkins, GitHub Actions, GitLab CI, or equivalent tools.
• Understanding of multi-stage pipelines, automated deployments, release approvals, and artifact management.
• Experience implementing deployment automation and rollback strategies.
• Strong understanding of Git workflows and version control practices.

3. Containers & Kubernetes

• Strong hands-on experience with Docker and Kubernetes.
• Practical experience managing EKS or AKS environments.
• Understanding of Kubernetes networking, scaling, storage, secrets, and workload management.
• Experience with Helm and container orchestration.
• Ability to troubleshoot production container and Kubernetes environments.

4. Infrastructure as Code & Scripting

• Strong experience with Terraform and Infrastructure as Code practices.
• Familiarity with CloudFormation, Bicep, ARM templates, or similar tools.
• Working knowledge of Python, Bash, or PowerShell for infrastructure automation.
• Strong understanding of Linux administration and system troubleshooting.

5. Monitoring & Reliability Engineering

• Experience implementing infrastructure and application monitoring.
• Familiarity with CloudWatch, Azure Monitor, Prometheus, Grafana, and centralized logging solutions.
• Understanding of incident management, root cause analysis, performance optimization, and system availability.
• Experience establishing alerting, operational dashboards, and reliability practices.

6. AI/ML Infrastructure Exposure

• Prior experience supporting AI/ML applications, Generative AI platforms, LLM applications, or AI-enabled products.
• Understanding of infrastructure requirements for deploying and operating AI-powered applications.
• Familiarity with containerized AI services, cloud-based model integrations, and scalable application environments.

Note: This role does not require specialized MLOps expertise or model development experience. Strong cloud and DevOps engineering fundamentals remain the primary requirement.

Preferred Skills

• Experience implementing GitOps workflows using Argo CD or similar tools.
• Experience with blue/green deployments, canary releases, and automated rollback mechanisms.
• Exposure to cloud security, enterprise networking, governance, and landing-zone architecture.
• Experience with cloud cost optimization and FinOps practices.
• Familiarity with AI/ML infrastructure and production GenAI applications.
• Experience with Python-based automation and infrastructure tooling.
• Relevant AWS, Azure, Kubernetes, or Terraform certifications.

What We're Looking For Beyond Skills

• Cloud Expertise: Deep technical specialization in AWS or Azure, with the ability to design and manage production infrastructure independently.
• Hands-on Engineering: Someone who actively builds, automates, troubleshoots, and improves infrastructure rather than focusing only on team management.
• Technical Ownership: Takes responsibility for infrastructure reliability, deployment quality, security, and operational performance.
• System Thinking: Understands how cloud infrastructure, applications, networking, databases, and deployment pipelines work together.
• Problem-Solving: Ability to diagnose complex production issues and implement long-term engineering solutions.
• Automation Mindset: Continuously identifies opportunities to eliminate manual work and improve operational efficiency.
• Technical Leadership: Can mentor engineers, establish best practices, and drive technical decisions.
• AI Readiness: Has practical exposure to supporting AI-powered applications and understands their infrastructure requirements.
• Collaboration: Works effectively with software engineering, AI/ML, security, and product teams.

Typical Technology Environment

AreaTechnologiesCloud PlatformsAWS, AzureCI/CDAzure DevOps, GitHub Actions, Jenkins, GitLab CIContainersDocker, Kubernetes, EKS, AKS, HelmInfrastructure as CodeTerraform, CloudFormation, Bicep, ARMGitOpsArgo CD, Git-based deployment workflowsMonitoring & ObservabilityCloudWatch, Azure Monitor, Prometheus, GrafanaAutomationPython, Bash, PowerShellOperating SystemsLinux, WindowsSecurityIAM, RBAC, Secrets Management, Network SecurityAI ExposureAI/ML Applications, GenAI, LLM Platforms, AI-enabled Products

What We Offer

• Competitive compensation aligned with experience and expertise.
• Coimbatore office-based work environment with hybrid flexibility.
• Opportunity to lead cloud infrastructure and DevOps engineering for global clients.
• Exposure to modern AWS/Azure, Kubernetes, automation, and AI engineering practices.
• Paid holidays and flexible time off.
• Medical insurance covering self and family, up to ₹4 lakh per person.
• Opportunities to influence infrastructure architecture and engineering practices.
• A culture that values clarity, integrity, ownership, and continuous growth.

Join Techjays

If you're passionate about building reliable cloud platforms, automating complex infrastructure, and leading DevOps engineering for modern AI-powered applications, we'd love to hear from you.

We're hiring a DevOps Engineer for a technology company in Pune (on-site).

What you'll do: build and run CI/CD pipelines; containerise apps with Docker and run them on Kubernetes; manage deployments and infrastructure; automate operations; monitor systems and fix production issues.

Must have: 2+ years of hands-on DevOps experience; strong Docker and Kubernetes; CI/CD tools (Jenkins, GitHub Actions or GitLab CI); Linux, Git, shell scripting.

Good to have: AWS, Azure or GCP; Terraform or Ansible; experience in finance or banking projects.

Selection: communication round, technical round, AI interview, coding round.

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.

Role Overview

We are looking for an experienced Application Support Engineer with strong expertise in production support, Linux/Unix troubleshooting, Oracle database support, and monitoring tools. The candidate should have experience managing critical production environments, resolving technical issues, and maintaining application stability and availability.

Key Responsibilities

• Provide end-to-end production support for business-critical applications.
• Troubleshoot application, server, and database-related issues in Linux/Unix environments.
• Perform Oracle SQL queries, database troubleshooting, and performance analysis.
• Manage incidents, service requests, and change management processes.
• Conduct RCA for recurring and critical production issues.
• Monitor application health and performance using Splunk, Grafana, and AppDynamics.
• Support applications hosted on cloud and container platforms such as OCP, AWS, Azure, and GCP.
• Collaborate with infrastructure, database, and development teams for issue resolution.
• Maintain operational documentation and ensure adherence to SLA commitments.

Technical Skills

• Application Production Support
• Linux / Unix Administration and Troubleshooting
• Oracle SQL / Database Support
• Incident, Problem & Change Management
• Root Cause Analysis (RCA)
• Splunk / Grafana / AppDynamics
• Cloud Platforms – OCP, AWS, Azure, GCP

Job Summary:

As a Software Development Engineer II in VoD Video Engineering team, you will design and build the core backend systems that power our Video-on-Demand platform — spanning content ingest, transcoding, adaptive bitrate packaging, and delivery at scale. You will own complex projects end-to-end, make meaningful architectural contributions, and play a hands-on role in raising the quality and reliability of our video processing infrastructure. This role is ideal for engineers who are passionate about distributed systems, media technology, and delivering exceptional streaming experiences to hundreds of millions of viewers.

About the Team:

VoD Video Engineering team is the backbone of our streaming platform — responsible for the entire lifecycle of on-demand video content, from ingest and transcoding through packaging, storage, and delivery. We own mission-critical systems that process thousands of hours of video daily, serving a global audience with reliability, low latency, and the highest quality of experience. Our team operates at the forefront of media technology, collaborating closely with CDN, playback, and content operations teams to continuously raise the bar on performance and scalability. If you're passionate about large-scale distributed systems and the technology behind modern video streaming, this is the team to be on.

Key responsibilities

• Design and build scalable, fault-tolerant backend services for video ingest, transcoding job orchestration, ABR packaging, and content delivery workflows.
• Own end-to-end delivery of complex VoD backend features — from technical design and implementation through deployment, monitoring, and operational handoff.
• Write high-quality, well-tested, and maintainable code; drive code review culture and champion engineering best practices within the team.
• Contribute to architectural decisions for the VoD platform, evaluating trade-offs across throughput, latency, cost, and reliability.
• Integrate VoD pipeline components with internal platform services including CMS, CDN origin, DRM/entitlement systems, and metadata APIs.
• Take ownership of production reliability: participate in on-call rotations, lead incident response, perform root cause analysis, and drive preventive improvements.
• Optimize video processing workflows for cost efficiency, throughput, and time-to-publish — including transcoding profile tuning and pipeline parallelism.
• Collaborate closely with Product Managers, content operations, and cross-functional engineering teams to translate requirements into robust technical solutions.
• Mentor junior engineers through code reviews, technical design discussions, and knowledge-sharing sessions; help grow the overall capability of the team.

Skills and attributes for success:

• 3+ years of professional backend software engineering experience, with a strong track record building and operating distributed systems in production.
• Proficiency in Go, Python, or Java with solid foundations in system design.
• Hands-on experience with cloud platforms (AWS preferred) — including compute, object storage (S3), managed queues (SQS/SNS), and serverless or containerized workloads.
• Solid understanding of distributed systems design: event-driven architectures, message queues (Kafka), workflow orchestration, and idempotency patterns.
• Experience with storage systems, caching strategies (Redis, Memcached), and database query performance tuning.
• Familiarity with CI/CD pipelines, containerization (Docker, Kubernetes), and infrastructure-as-code practices.
• Comfort with observability tooling — logging, metrics, and tracing — and a habit of building production-ready services from day one.
• Strong communication skills — able to clearly articulate technical approaches and trade-offs to peers, leads, and non-technical stakeholders.
• Collaborative team player who takes pride in lifting up those around them through mentorship and knowledge sharing.

Preferred education and experience:

• Bachelors/Master’s in computer science or a related field with 3+ years of experience in backend development

Job Summary:

As a Senior Software Engineer, you will lead the design and development of core systems that drive JioStar's lifecycle engagement, personalized marketing automation (Martech), and strategic partnership integrations. You'll own large-scale, high-concurrency systems end-to-end—from real-time event tracking and reward engines to partner sync pipelines—operating with autonomy and shaping the technical architecture of our ecosystem. This role is ideal for engineers who excel at solving complex distributed data problems, building scalable backend services, and mentoring others toward engineering excellence.

About the Team

Our team sits at the intersection of user retention, growth, and ecosystem monetization. We build and scale the platforms that power automated engagement campaigns, and seamless integrations with external partners and brands.

Whether we are processing high-throughput event streams for real-time personalization, orchestrating complex cross-channel martech workflows, or managing high-availability transactional data stores, our engineering focus is on resilience, speed, and clean architecture. If you are passionate about building systems that directly impact millions of users' retention and engagement journeys, we'd love to talk.

Key responsibilities

• Design and build scalable, resilient microservices that power engagement triggers, and partner integrations.
• Own end-to-end delivery of complex backend projects, from technical design to deployment and monitoring
• Write high-quality, maintainable code, and ensure rigorous testing and fault tolerance
• Drive architectural decisions and influence long-term engineering strategy for the team
• Collaborate closely with Product Managers, Data Scientists, and cross-functional teams to translate business needs into tech solutions
• Take ownership of operational excellence, including performance tuning, incident response, and root cause analysis
• Mentor junior engineers, conduct technical deep dives and code reviews, and foster a culture of knowledge sharing

Skills and attributes for success:

• Proficiency in Java, Golang, or Python
• Experience designing and building distributed systems at scale
• Strong understanding of storage systems, query performance, and caching strategies
• specifically experience with Amazon DynamoDB (single-platform design, partition keys, GSIs) and relational stores.
• experience with distributed caching strategies and tools
• Hands-on experience with cloud platforms (AWS preferred), messaging systems (Kafka), CI/CD pipelines (Github Actions and Docker)
• Proven ability to work autonomously, prioritize tasks, and manage delivery timelines in fast-paced environments
• You are passionate about growing engineers and leading by example

Preferred education and experience:

Bachelors/Master's in computer science or a related field with 4–6 years of experience in backend development.

• Primary Skillsets: Python, Generative AI, Agentic AI, LLM, experience with designing and developing production grade AI solutions, AWS/Azure/GCP, LLMOps, Data Engineering (Databricks/Snowflake), Regulated GenAI, Data and Decisions, and Agentic Systems.
• Preferred: Pharma or life sciences experience, especially in regulated (GxP) environments, experience setting up a team or practice from scratch.
• Only immediate joiners are considered.

About the Role

• We're hiring a Partnerships Manager to drive revenue through our cloud and AI partner ecosystem. This is a
• sales-oriented alliances role — we need someone who has already built relationships with Field Sales Reps
• (FSRs) and Account Executives at Google Cloud, AWS, or Azure, and has a track record of converting
• those relationships into closed deals. You'll shape how we approach partnership-led sales strategically, not
• just manage program operations.

What You'll Do

• Build and leverage relationships with FSRs and Account Executives at Google Cloud, AWS, and

Azure to generate qualified pipeline

• Drive co-sell motions end-to-end — from partner-sourced lead to closed deal

• Define and execute our partnership-led sales strategy, advising leadership on where and how to

prioritize partner channels

• Identify and pursue joint-selling opportunities with hyperscaler account teams

• Represent the company in partner-facing sales conversations and deal reviews

• Track partner-sourced pipeline and revenue, and report on channel performance to leadership

• Work around partner-led sales incentives, collaborating with external partnership teams for funding

initiatives

• Expand our footprint within the Google Cloud, AWS, and Azure partner ecosystems by building new

FSR/AE relationships

What You Need

• 6–8 years of direct experience in partnership/alliance roles within the cloud ecosystem

• Demonstrated track record of closing multiple deals through Google Cloud, AWS, or Azure partner

networks

• Established relationships with FSRs and Account Executives at one or more hyperscalers

• Strong understanding of co-sell motions, deal registration, and partner-sourced pipeline management

• Ability to advise leadership on partnership-led go-to-market strategy, not just execute existing

programs

• Strong sales acumen and comfort owning revenue-linked outcomes

• Excellent relationship-building and stakeholder communication skills

Nice to Have

• Experience working with Partner Development Managers/Executives in AI-first partner ecosystems

like Anthropic and OpenAI

• Experience with partner certification programs (Anthropic Claude Partner Network, AWS APN, Azure,

GCP)

Who You Are

• A relationship-first operator who can open doors within hyperscaler sales teams

• Commercially minded — you think in terms of pipeline, deal velocity, and closed revenue

• A strategic thinker who can shape how the company approaches partnership-led sales, not just follow

a playbook

• Comfortable operating with high autonomy and ownership of outcomes

Skills: Partner Sales, Co-sell, Channel Partnerships, Google Cloud Partner Network, AWS Partner Network,

Microsoft Azure Partner Network, Deal Registration, Pipeline Management, Strategic Alliances, GTM

Strategy

Pncpl Software Engineer

Position Responsibilities :

• Lead the architecture and development of AI-powered, distributed systems that meet enterprise-grade performance and security standards.
• Leverage AI tools for code generation, architectural design, and documentation to accelerate delivery and improve quality.
• Design, build, and maintain services using Java following clean-code and secure design principles.
• Develop agentic AI-based tools, domain-specific copilots, and developer productivity enhancements.
• Collaborate with cross-functional teams to define modular, scalable, and compliant architecture patterns.
• Conduct technical design reviews and produce detailed documentation, including system specifications, API docs, and architecture diagrams.
• Integrate AI solutions into CI/CD pipelines, ensuring observability, automated testing, and deployment standards are met.
• Implement robust monitoring and performance engineering practices to maintain high-quality deployments.
• Continuously evaluate emerging AI technologies and integrate them into development workflows for maximum impact.
• Champion best practices in security, automation, and performance optimization across the organization.

Qualifications :

• 6+ years in software engineering with backend development in Java.
• 3+ years with AI tools for development, prototyping, or documentation tasks.
• Experience with cloud-native development and containerized deployment (Docker, Kubernetes).
• Knowledge of AI integration patterns, vector stores, prompt engineering, and RAG pipelines.
• Ability to design software architecture using sequence diagrams, ERDs, data models, and threat models.
• Comfortable with Gen AI-first environments and working with remote Agile teams.

Preferred Qualifications

• Experience building AI copilots or developer tools using OpenAI/Claude SDKs, LangChain, or similar frameworks.
• Experience working in a fast-paced, AIDLC environment, with a strong understanding of CI/CD practices.
• Familiarity with GitHub Actions, Argo Workflows, Terraform, and monitoring/observability tools.
• Containerization and Orchestration: Proficiency in Docker and Kubernetes for containerization and orchestration.
• Cloud Platforms: Experience with cloud computing platforms such as AWS, Azure, or OCI Cloud.

Role Overview

We are looking for an experienced React + Java Developer with strong expertise in frontend development using React.js and working knowledge of Java backend development. The ideal candidate should have a strong focus on React (70%) and Java (30%) with experience in developing and maintaining scalable web applications.

Key Responsibilities

• Develop responsive and user-friendly web applications using React.js.
• Build reusable UI components and manage application state.
• Integrate REST APIs with frontend applications.
• Develop and maintain backend services using Java.
• Work with Java-based business logic and backend integrations.
• Debug, troubleshoot, and optimize application performance.
• Collaborate with cross-functional teams to deliver quality solutions.
• Participate in code reviews and follow coding standards.

Mandatory Technical Skills

React.js – 70%

• Strong hands-on experience in React.js.
• JavaScript (ES6+) and HTML5, CSS3.
• React Hooks and functional components.
• State management (Redux / Context API).
• REST API integration.
• Responsive web design and UI development.

Java – 30%

• Good hands-on knowledge of Core Java.
• OOP concepts and Java Collections.
• Spring Boot / Spring Framework.
• REST API development and integration.
• Basic knowledge of backend development.

• Strong React.js development experience (70%).
• Java and Spring Boot experience (30%).
• Hands-on experience with Microservices architecture.
• Proficiency in JavaScript/TypeScript, HTML5, and CSS3.
• Experience developing and consuming REST APIs.
• Experience with JUnit and unit testing practices.
• Good understanding of relational databases and SQL.
• Cloud/SaaS exposure, preferably AWS.
• Exposure to AWS SNS, SQS, S3, RDS, and Elasticsearch.
• MongoDB experience is preferred.
• Familiarity with Git and CI/CD practices.
• Understanding of application security, performance, and scalability.

Job Overview:

We are seeking an experienced Cloud Data Engineer to the architecture, development, Data migration, ETL pipeline in cloud and optimization of a next-generation data platform. This is a development role for an individual with over 4 years of deep data engineering and data migration, data pipeline in AWS expertise, capable of driving technical direction, and delivering high-impact solutions in a fast-paced

4+ Years of hands-on, progressive experience in Cloud Data Engineering, cloud ecosystems AWS, Data Architecture

• Deep conceptual understanding of core data engineering principles, ETL/ELT patterns, and metadata management

•  Ability to translate complex business needs into actionable technical requirements.

•  Strong troubleshooting and problem-solving skills in distributed systems.

•  Agile/Scrum teamwork capabilities and version control practices

• Insurance industry experience preferred but not mandatory

• Tools:

o Cloud Environment: AWS (S3, IAM, VPC, Glue, Lambda etc.)

o Experience with dbt Core, Iceberg, AWS Glue Catalog, AWS lambda, Redshift, Athena, Splunk, AmazonQ, AWS streaming services, Git

o Strong SQL, Pyspark and Python

Role Overview

We are looking for a strong Senior Python Engineer with hands-on AI/ML and Automation experience to join

our engineering team.

The engineer will work on high-scale backend systems, intelligent automation platforms, OCR/document

processing, AI-powered workflows, browser automation and integrations across multiple products.

This is not a role for someone whose AI experience is limited to calling LLM APIs. We need an engineer who

understands Python deeply and has built, deployed and maintained real production systems.

Experience Requirements

l Minimum 4 years of professional software development experience, primarily using Python.

l Minimum 2 years of practical hands-on experience in AI/ML, intelligent automation or closely related production

systems.

l Candidates with 4-6+ years of strong relevant experience are preferred.

l Strong production/backend engineering experience is essential.

Core Python & Backend Skills

l Python; FastAPI / Django / Flask; REST APIs and backend service development.

l Async programming and concurrency; multithreading / multiprocessing where appropriate.

l PostgreSQL / MySQL; Redis; background jobs and task queues such as Celery.

l WebSockets / real-time communication where required; authentication and authorization; API integrations.

l Docker; Linux; Git; logging, debugging and production troubleshooting.

l Ability to build fast, reliable and scalable Python services rather than only scripts.

AI / ML Requirements

l Machine Learning fundamentals; model training, evaluation and inference; data preprocessing and feature

engineering.

l Scikit-learn; PyTorch or TensorFlow; NLP.

l Embeddings, semantic search and vector databases.

l LLM integrations, prompt engineering, structured output and tool/function calling.

l RAG pipelines; AI agents / agentic workflows.

l OpenAI, Gemini, Claude or equivalent integrations; local/open-source model integration where appropriate.

l Understanding of model selection, accuracy, latency and cost trade-offs.

Automation Engineering

l Playwright; Puppeteer or equivalent browser automation frameworks; Selenium where appropriate.

l Headless browser and web workflow automation; form/repetitive task automation.

l Session/cookie management; file upload/download automation; API + browser hybrid automation.

l Retry and recovery mechanisms; scheduling and background execution.

l Queue-based automation workers; parallel/concurrent task processing.

TECHJAYS

Lead – Infrastructure Security & Release Operations

Position: Lead – Infrastructure Security & Release Operations

Experience: 8+ Years

Location: Coimbatore / Hybrid (Remote option available)

Joining: Immediate or within 30 days preferred

Core Focus: Production Release Management, Change Control, Security Operations, SOC 2 Compliance, Audit Evidence, Identity & Access Management.

Tools & Platforms: Octopus Deploy, TeamCity, AWS (IAM, Security Groups, CloudTrail), Status Page, Endpoint Security Tools, GRC Platforms (Vanta, Drata, or similar).

About the Role

We are looking for a senior, execution-focused professional to own production release management, change control, and day-to-day security and compliance operations.

This role focuses on ensuring production changes are deployed safely, maintaining accurate SOC 2 audit evidence, managing security operations, and enforcing disciplined access controls.

The ideal candidate will bring hands-on experience managing production deployment pipelines, coordinating change approvals, supporting external audits, and maintaining security and compliance processes in a production environment.

This is a hands-on execution role. Strategic roadmaps, architecture review boards, and cross-company leadership responsibilities remain with the existing leadership team and are outside the scope of this position.

Key Responsibilities

1. Production Release & Deployment Management

• Own production release and deployment pipelines using Octopus Deploy and TeamCity.
• Implement and maintain zero-downtime deployment practices and rollback procedures.
• Troubleshoot failed or stuck deployments and coordinate timely resolution.
• Approve production changes, hotfixes, and feature toggle changes.
• Coordinate maintenance windows and communicate planned changes to customers through the status page.

2. Security, Compliance & Audit Management

• Own SOC 2 change management processes and maintain complete, audit-ready evidence.
• Work directly with external auditors throughout SOC 2, HIPAA, PCI, or equivalent audit cycles.
• Track vulnerability remediation, security patches, and corrective actions.
• Manage endpoint security tooling and triage externally reported vulnerabilities.
• Support customer security questionnaires and security-related sections of RFPs.

3. Identity & Access Management

• Administer identity and access management processes, including access reviews and MFA enforcement.
• Manage privileged access controls and production access permissions.
• Grant, review, and revoke access to databases, VPNs, and deployment tools.
• Maintain appropriate access records and supporting compliance evidence.

4. Operational Support

• Manage infrastructure and access-related tickets requiring change approval or production access.
• Ensure production changes follow established approval and documentation procedures.
• Provide occasional on-call and after-hours support when required for production operations.
• Maintain clear documentation of releases, approvals, incidents, and security activities.

Must-Have Requirements

• 8+ years of overall infrastructure or release engineering experience.
• 5+ years of direct ownership of production release and deployment pipelines, including rollback procedures.
• 5+ years of ownership of SOC 2 or equivalent compliance change management and audit evidence processes.
• 5+ years of hands-on security operations experience.
• Practical experience administering IAM, including access reviews and privileged access controls.
• Experience supporting customer-facing security questionnaires and RFP security sections.
• Direct experience working with external auditors through at least one complete audit cycle.

Nice-to-Have Skills

• AWS security experience, particularly IAM, security groups, and CloudTrail.
• Familiarity with vulnerability disclosure platforms such as HackerOne or Bugcrowd.
• Experience coordinating third-party penetration tests.
• Familiarity with GRC and compliance platforms such as Vanta, Drata, or similar tools.
• Experience with customer trust and security review platforms such as Conveyor or CSA STAR.
• Previous experience working at a SaaS company serving regulated industries.

What We're Looking For

• Strong ownership: Takes responsibility for production releases, security operations, and compliance evidence.
• Sound judgment: Willing to stop or reject a production change that does not meet the required standards and explain the decision clearly.
• Incident management: Maintains a calm, structured approach when deployments fail or production incidents occur.
• Clear communication: Communicates effectively with engineering teams, external auditors, and customer security stakeholders.
• Attention to detail: Maintains accurate documentation, access records, approvals, and audit evidence.
• Execution-focused mindset: Comfortable managing day-to-day operational responsibilities without relying on strategic leadership duties.

What We Offer

• Flexible work environment with Coimbatore office, hybrid, and remote options.
• Paid holidays and flexible time off.
• Medical insurance coverage of up to ₹4 lakh per person for self and family.
• Opportunities to support production infrastructure and security operations for global clients.
• A culture that values clarity, integrity, accountability, and continuous growth.

Technical Architect

Experience:

10+ Years

Work Mode:

Onsite / Hybrid

Role Type:

Architecture + Hands-on Engineering + Technical Leadership

Role Overview

We are looking for an experienced and hands-on

Technical Architect

who can define enterprise-widearchitecture, technology strategy, and engineering standards across multiple products and platforms.

The Technical Architect will translate business requirements into scalable technical solutions, guideengineering teams, reduce technical risks, and remain actively involved in implementation when required.

This is

not a purely advisory or documentation-focused role

. The successful candidate should becomfortable contributing directly to production-quality code, prototypes, critical modules, technical fixes,and architectural Proofs of Concept (PoCs).

Key Responsibilities

Define enterprise architecture strategy, target architecture, and technology roadmaps acrossproducts and platforms.

Design scalable, secure, resilient, and maintainable software systems.

Architect cloud-native, distributed, microservices-based, and multi-tenant SaaS solutions.

Translate product and business requirements into architecture, technical designs, serviceboundaries, data models, and API contracts.

Establish architecture governance, coding standards, engineering best practices, and designprinciples.

Conduct architecture reviews, design reviews, code reviews, and technical risk assessments.

Identify scalability bottlenecks, security risks, performance issues, and technical debt.

Drive modernization initiatives and technology evaluations.

Guide technology selection and technical investment decisions.

Mentor Technical Leads, Senior Engineers, and other engineering team members.

Collaborate with Product, Engineering, QA, DevOps, Security, and business stakeholders.

Support technical estimation, solution feasibility, delivery planning, and architecture planning.

Hands-on Engineering Responsibilities

The Technical Architect must remain actively involved in engineering and should be capable of switchingbetween architecture and implementation depending on project requirements.

Responsibilities include:

Develop production-quality backend, frontend, or integration components when required.

•

•

•

•

•

•

•

•

•

•

•

•

•

1

Build technical prototypes, PoCs, reference implementations, and reusable frameworks.

Assist engineering teams with complex technical and production issues.

Perform root-cause analysis and technical troubleshooting.

Contribute to performance and scalability improvements.

Implement or guide security fixes and critical technical modules.

Review existing codebases and recommend improvements.

Drive refactoring and modernization initiatives.

Conduct code reviews and establish implementation patterns.

Pair with engineers when required to translate architectural decisions into working software.

Remain comfortable moving between architecture, design, coding, reviews, and troubleshooting.

Core Technical Skills

Programming

JavaScript

TypeScript

Python

Go / Golang

Java

Spring Boot

Architecture & System Design

Microservices Architecture

Distributed Systems

Multi-Tenant SaaS

Domain-Driven Design (DDD)

Service-Oriented Architecture (SOA)

API-First Architecture

Cloud-Native Architecture

Enterprise Application Architecture

Backend Engineering

Node.js

Express.js

REST APIs / Enterprise APIs

Identity Management

Authentication & Authorization

Messaging

Integration Architecture

Database & Data

MongoDB

Redis

Data Modeling

2

Query Optimization

Performance Optimization

Frontend & Mobile

React.js

React Native

Cloud & DevOps

AWS

Docker

Kubernetes

CI/CD

Containerized Applications

Cloud-Native Deployments

Security

Secure Software Development Lifecycle (SSDLC)

API Security

Encryption

Security Governance

Authentication & Authorization

AI & Emerging Technologies

LangChain

Gemini

Retrieval-Augmented Generation (RAG)

AI Agents

OCR

Enterprise Integrations

Enterprise APIs

Payment Gateways

WhatsApp Business Integration

Third-Party System Integrations

These technologies and architecture areas are specified as the core technical expertise for the position.

Product & Engineering Expectations

The ideal candidate should have:

Strong experience building production-grade software products, not only isolated applications or

PoCs.

3

Ability to balance ideal architecture with business timelines, budget, maintainability, and

engineering-team capabilities.

Experience working in evolving product environments with changing requirements and multiple

parallel initiatives.

Strong ability to evaluate technology options and explain technical trade-offs.

Ownership mindset with the ability to proactively identify and resolve technical problems.

Strong understanding of reliability, security, observability, performance, scalability, and

maintainability.

Ability to take architectural decisions from initial design through successful production

implementation.

Technical Leadership & Collaboration

Mentor Technical Leads and Senior Engineers.

Establish and promote a strong engineering culture.

Define clear technical direction and engineering standards.

Lead architecture, design, and code reviews.

Participate in technical hiring and evaluation of senior engineering candidates.

Help establish technical interview and engineering assessment standards.

Evaluate architecture, coding, system design, and problem-solving capabilities.

Communicate architecture decisions, technical risks, dependencies, and delivery implications to

leadership.

Promote effective documentation of architecture decisions, APIs, dependencies, and operational

considerations.

Preferred Experience

Experience in one or more of the following areas will be preferred:

FinTech

SaaS Products

AI Platforms

Cloud-Native Applications

Enterprise-Scale Distributed Systems

Nice to Have

Kafka

GraphQL

Serverless Architecture

Machine Learning Platforms

Multi-Cloud Architecture

Ideal Candidate Profile

The ideal candidate is a senior engineer and architect capable of operating at both strategic and

implementation levels.

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.

Navtech is a premier IT software and services provider. Our mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future.

We have been recognized as the Best Cloud Service Provider by GoodFirms for delivering quality services and results. We strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients globally.

We are a fast-growing company serving clients across the United States, UK and Europe. You will work with a team of talented developers, quality engineers and product managers who are passionate about building impactful technology solutions.

About the Role

We are looking for an experienced Senior SQL Server / SSIS Engineer to design, develop, maintain and optimise database solutions and ETL workflows.

The ideal candidate should have strong hands-on experience with Microsoft SQL Server, SSIS package development, T-SQL programming, database performance tuning and data migration.

You should be comfortable working with existing database systems, troubleshooting complex issues, improving performance and ensuring data integrity, security and availability.

Key Responsibilities

• Design, develop and maintain SQL Server databases, database objects and logical data models.
• Develop, deploy and maintain SSIS packages for ETL processes and data integration.
• Build and optimise complex SQL queries, stored procedures, functions, views and triggers.
• Design and implement data extraction, transformation and loading workflows across multiple systems.
• Perform database migrations, data transformations and validation activities.
• Monitor and troubleshoot SQL Server databases, SSIS packages and SQL Server Agent jobs.
• Identify and resolve performance bottlenecks through query optimisation, indexing and execution plan analysis.
• Handle database administration activities, including upgrades, backups, recovery and maintenance.
• Ensure database performance, security, availability and data integrity.
• Troubleshoot database locking, blocking and resource utilisation issues.
• Collaborate with developers, QA engineers and other stakeholders to understand database requirements.
• Maintain technical documentation for database structures, ETL workflows and processes.
• Provide production support and proactively identify opportunities to improve database performance and reliability.

Who Are We Looking For?

• 6–10 years of experience in SQL Server development and database engineering.
• Strong hands-on experience with Microsoft SQL Server, preferably SQL Server 2016/2017 or above.
• Hands-on experience in developing, deploying and maintaining SSIS packages.
• Strong understanding of ETL processes, data integration and data migration.
• Advanced knowledge of T-SQL, stored procedures, functions, views and triggers.
• Experience in database performance tuning, query optimisation, indexing and execution plans.
• Experience in SQL Server monitoring, troubleshooting and resolving database performance issues.
• Good understanding of SQL Server Agent jobs, database backups, recovery and maintenance.
• Experience resolving database locking conflicts, blocking and resource utilisation issues.
• Knowledge of SQL Server system tables and Dynamic Management Views (DMVs).
• Experience with PowerShell scripting and automation is preferred.
• Exposure to AWS RDS, Azure SQL or other cloud database environments is an advantage.
• Knowledge of PostgreSQL or NoSQL databases is a plus.
• Experience leading or mentoring junior developers is preferred.
• Bachelor's or Master's degree in Computer Science, Software Engineering, IT or a related field.
• Excellent analytical, logical, troubleshooting and communication skills.

Good to Have

• Experience with SSRS or SSAS.
• Knowledge of AWS RDS or Azure SQL.
• Experience with PowerShell scripting.
• Exposure to PostgreSQL or NoSQL databases.
• Relevant Microsoft SQL Server certifications.

Why Navtech?

• Performance reviews and appraisals twice a year.
• Competitive compensation package with additional bonuses and benefits.
• Opportunities to work with renowned clients across the US, UK and Europe.
• Medical insurance coverage for self and immediate family.
• Opportunity to work with a culturally diverse and collaborative team.
• Opportunities for continuous learning and technical growth.

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.

Required Skills/Experience

• 3-4 years of experience designing and/or developing web-based applications using JavaScript, Node, React, Angular, etc
• Strong understanding of JavaScript, browsers, mobile platforms, and real-time communication.
• Problem solving skills with data structures and algorithms.
• Hands-on experience developing responsive web applications and scalable backend systems.
• Strong experience in integrating third-party applications, APIs, and external systems.
• Ability to design, develop, and manage integrations between different platforms and systems.
• Hands-on experience using AI-powered development tools such as ChatGPT, Claude, GitHub Copilot, Cursor, or similar tools for coding, debugging, testing, and improving development productivity.
• Ability to learn and adapt to alternative technologies based on project requirements.
• Experience in the product development lifecycle, including prototyping, development, testing, hardening, and deployment.

Additional Skills/Experience  

• Experience with NoSQL databases such as MongoDB and Cassandra.
• Experience with UI component libraries and other popular JavaScript libraries and frameworks such as Vue.js.
• Eagerness to participate in product functionality and user experience design.
• Excellent group facilitation and communication skills, both verbal and written.
• Familiarity with i18n and the latest trends in UI/UX design.
• Experience implementing payment gateways applicable across different countries.
• Understanding of API integrations, authentication mechanisms, and data exchange between systems

Education Requirement

• B.Tech/M.Tech in CSE/IT/AI/ML only.

Location: Bangalore

Experience: 6+ Years

Role: Java Backend Developer

Required Skills:

Java.

PostgreSQL / Database Management.

AWS services such as:

AWS ECS

AWS Lambda

How to Apply

Interested candidates can share their updated resumes:

Email: revathi.r @vysystems. com

WhatsApp: 6 3 8 5 0 7 6 1 4 2

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Python, Hadoop, and Apache Spark.
• Develop efficient data processing and transformation workflows for large datasets.
• Write, optimize, and maintain complex SQL queries and PL/SQL procedures.
• Perform data extraction, transformation, and loading (ETL) from multiple data sources.
• Work with structured and unstructured data to support analytics and reporting requirements.
• Optimize data pipelines and queries for performance, scalability, and reliability.
• Ensure data quality, consistency, security, and integrity across data platforms.
• Collaborate with cross-functional teams to understand business requirements and deliver data engineering solutions.
• Use Git, automation, and CI/CD practices to support development and deployment.

Required Skills

• 4.5–10 years of experience in software development or data engineering.
• Strong proficiency in AWS
• Hands-on experience with Hadoop and Apache Spark.
• Good knowledge of SQL and PL/SQL, including query optimization and stored procedures.
• Experience in ETL development, data processing, and data pipeline design.
• Understanding of data warehousing concepts and distributed computing.
• Strong problem-solving, debugging, and performance-tuning skills.

Job Title: Engineering Manager

Location- Delhi

Job type: Full time, On site

About Us: TIMBLE is leading Authentication Company, delivering cutting edge technology and alternate data analysis for Identity management, Onboarding & Verification and Business Intelligence. We provide solutions across three verticals

1. BFSI Solutions

2. KYC and background check Solutions

3.AI Solutions

Role Overview

As an Engineering Manager at Timble AI, you will manage, mentor, and scale our core engineering teams (including Backend, Frontend, and AI/ML divisions). You will remain highly technical, contributing to architecture decisions and system design, while taking full ownership of project delivery timelines, agile sprints, and team performance metrics.

Key Responsibilities

1. People Leadership & Mentorship: Manage and grow a cross-functional team of software engineers (SDE-1 to SDE-3). Conduct regular 1-on-1s, drive career growth paths, and foster an innovative, high-ownership engineering culture.
2. Delivery & Agile Project Management: Own the engineering sprint cycles. Work closely with Product Managers to break down roadmaps into execution goals, manage dependencies, and ensure high-velocity, predictable delivery.
3. System Design & Architecture: Provide technical governance and direction. Collaborate on core system architecture, design reviews, and ensure codebases remain clean, scalable, and modular.
4.  Engineering Excellence: Define and monitor key performance indicators (KPIs) for the engineering team, including code quality, test coverage, uptime, and system performance.
5. Hiring & Scaling: Actively partner with the talent acquisition team to identify, interview, and onboard top-tier engineering talent to help build our core verticals.

Required Skills & Qualifications

1. Experience: 5+ years of core software engineering experience, with at least 1–2 years of experience in an engineering management, tech lead, or team leadership role.
2. Technical Roots: Strong foundational background in backend systems, distributed architectures, or AI integration. Prior hands-on experience with Python/Django ecosystems, microservices, cloud infra (AWS/GCP), or heavy automation systems is highly valued.
3. Agile Mastery: Deep familiarity with Agile/Scrum development methodologies, sprint planning tools, and CI/CD pipelines.
4.  Communication: Exceptional interpersonal and cross-functional communication skills, with a track record of translating complex technical visions into clear execution steps.
5.  Education: B.Tech / M.Tech in Computer Science, Information Technology, or a related technical discipline from a reputed institute.

Learn more about us at: https://timbleglance.com

Job Title: Senior AI/ML Engineer

Company: Timble Technologies Pvt. Ltd

Location: Gurugram (Hybrid)

Experience: 2 TO 5 Years

About Us

Timble Glance is a high-growth AI RegTech and B2B SaaS company catering to top-tier BFSI and enterprise clients. We build cutting-edge systems powering 30+ high-scale APIs for digital identity verification, fraud detection, document intelligence, and compliance automation.

Role Overview

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and productionize high-throughput AI/ML and Generative AI systems. You will own the full lifecycle—from problem formulation and data pipelines to deep learning architectures, RAG systems, LLMOps, and model governance—delivering sub-second latency and high reliability across our enterprise products.

Key Responsibilities

·       Model Architecture & Deployment: Design, train, and deploy production-scale ML/Deep Learning and GenAI systems (computer vision, document intelligence, OCR, NLP, fraud risk classification, and LLM applications).

·       GenAI & LLM Solutions: Develop robust LLM workflows including prompt engineering, fine-tuning, RAG pipelines, semantic search, vector indexing (Pinecone/Milvus/Chroma), and safety guardrails.

·       Pipelines & Engineering: Build performant feature extraction and data pipelines; write modular, vectorized, production-grade Python (NumPy, Pandas) and advanced SQL.

·       MLOps & Monitoring: Establish end-to-end MLOps/LLMOps standards—model registries, CI/CD, experiment tracking, drift detection, A/B testing, latency optimization, and cost governance.

·       Responsible AI & Security: Ensure model decisions comply with enterprise data security, privacy standards, and auditability required by the BFSI sector.

·       Collaboration & Ownership: Translate complex business requirements into technical roadmaps, conduct rigorous code reviews, and mentor junior engineers.

Required Qualifications & Skills

·       Education: B.Tech / M.Tech in Computer Science, AI/ML, Mathematics, or a related field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Experience: 2+ years of hands-on experience developing, deploying, and maintaining ML/Deep Learning or GenAI models in production environments.

·       GenAI & NLP Stack: Hands-on experience with LLMs, embeddings, RAG architectures, and frameworks such as LangChain, LlamaIndex, or Hugging Face.

·       Deep Learning Frameworks: Strong proficiency in PyTorch or TensorFlow, with deep knowledge of transformer architectures and modern NLP/CV models.

·       Software & Data Engineering: Expert-level Python skills (pytest, Git, OOP, asynchronous programming), solid SQL proficiency, and familiarity with data workflows.

·       Deployment & Cloud: Practical exposure to cloud platforms (AWS/GCP), containerization (Docker), API frameworks (FastAPI/Flask), and basic orchestration (Kubernetes).

Preferred Qualifications

·       Prior domain experience in Fintech, RegTech, Identity Verification (KYC/AML), Fraud Intelligence, or B2B SaaS.

·       Experience optimizing models for low latency and inference cost (e.g., ONNX, TensorRT, model quantization).

·       Familiarity with workflow orchestrators such as Airflow, Prefect, or Kubeflow.

Role Overview

We are looking for a visionary yet hands-on Technical Architect who can define enterprise-wide architecture,

technology strategy and engineering standards across multiple products and platforms. The role is expected to

translate business requirements into scalable technical solutions, guide engineering teams, reduce technical risk,

and remain actively involved in implementation when required. This is not a purely advisory or documentation role:

the Architect may be required to contribute directly to production-quality code, prototypes, critical modules, technical

fixes and architectural proof-of-concepts.

Key Responsibilities

• Define enterprise architecture strategy, target architecture and technology roadmap across products and platforms.

• Design scalable, secure, resilient and maintainable systems aligned with business and product objectives.

• Architect cloud-native, distributed, microservices and multi-tenant SaaS solutions.

• Convert product/business requirements into clear architecture, technical designs, service boundaries, data models

and API contracts.

• Establish architecture governance, coding standards, engineering best practices, design principles and technical

decision records.

• Conduct architecture reviews, design reviews, code reviews and technical risk assessments.

• Identify bottlenecks, scalability concerns, security risks and technical debt, and drive practical remediation plans.

• Drive modernization initiatives, technology evaluation and technical investment decisions.

• Mentor and guide Technical Leads, Senior Engineers and other engineering members.

• Collaborate closely with Product, Engineering, QA, DevOps, Security and business stakeholders.

• Support estimation, technical planning, solution feasibility and delivery planning for new products and major

features.

Hands-on Coding & Engineering Responsibility

• The role is explicitly hands-on. When required by project priorities, the Technical Architect will contribute directly to

coding and implementation—not only architecture and reviews.

• Develop production-quality backend, frontend or integration components where architectural complexity, criticality or

delivery timelines require Architect-level involvement.

• Build technical prototypes, Proofs of Concept (PoCs), reference implementations and reusable frameworks to

validate architectural decisions.

• Assist engineers in debugging complex production or development issues and provide root-cause analysis.

• Contribute to performance optimization, scalability improvements, security fixes and critical technical modules.

• Review and improve existing codebases and guide refactoring/modernization without losing delivery focus.

• Pair with engineers when necessary to transfer architecture decisions into working code and establish

implementation patterns.

• Remain capable of switching between architecture, design, coding, review and technical troubleshooting based on

business/project requirements.

Core Technical Expertise

• Programming: JavaScript, TypeScript, Python, Go (Golang), Java / Spring Boot

• Architecture: DDD, SOA, API-First, Distributed Systems, Multi-Tenant SaaS

• Backend: Node.js, Express.js, Identity, Authentication/Authorization, Messaging

• Data: MongoDB, Redis, Data Modeling, Query/Performance Optimization

• Frontend/Mobile: React.js, React Native

• AI: LangChain, Gemini, RAG, AI Agents, OCR

• Cloud & DevOps: AWS, Docker, Kubernetes, CI/CD

• Security: SSDLC, API Security, Encryption, Governance

• Integrations: WhatsApp Business, Payment Gateways, Enterprise APIs

Product & Engineering Expectations

• Strong understanding of building production-grade software products rather than isolated applications or

proof-of-concepts only.

• Ability to balance ideal architecture with business timelines, budget, maintainability and team capability.

• Comfort working in an evolving product-company environment where requirements may change and multiple

initiatives may run in parallel.

• Ability to make pragmatic technology choices and clearly explain trade-offs to both technical and non-technical

stakeholders.

• Ownership mindset: identify problems proactively, propose solutions and follow through until the technical outcome

is delivered.

• Strong emphasis on reliability, security, observability, performance, scalability and maintainability from design

through production.

Leadership & Collaboration

• Mentor Technical Leads and senior engineers and help establish a strong engineering culture.

• Set clear technical direction without creating unnecessary process or bureaucracy.

• Participate in hiring and technical evaluation of senior engineering candidates when required.

• Help define technical interview standards and assess architecture, coding and problem-solving capability.

• Work directly with leadership to communicate architecture decisions, technical risks, dependencies and delivery

implications.

• Promote documentation of important architecture decisions, APIs, dependencies and operational considerations.

Preferred Qualifications

Experience in FinTech, SaaS, AI platforms, cloud-native architectures and enterprise-scale distributed systems.

Nice to Have

Kafka, GraphQL, Serverless, Machine Learning Platforms, Multi-Cloud Architecture.

What We Expect From the Right Candidate

The ideal candidate

Responsibilities:

• Understand and translate business and customer requirements into clear functional requirements, user stories, acceptance criteria, and process flows.
• Act as a consultant to stakeholders by understanding their needs and pain points, identifying gaps, and recommending practical solutions.
• Conduct detailed business, system, and gap analysis to identify problems, opportunities, feasibility, and potential solutions.
• Prepare functional artifacts including PRDs, epics, business process flows, and requirement documentation.
• Collaborate with Product Managers to define, refine, and prioritize the product roadmap based on business value and customer impact.
• Evaluate and recommend AI-driven solutions to improve product capabilities, business processes, and customer experience.
• Collaborate closely with UX/Design, Engineering, QA, and Data teams to validate requirements, assess feasibility, and ensure timely, high-quality delivery.
• Engage with customers, particularly Engineering, DevOps, and FinOps teams, to gather feedback, identify pain points, improve adoption and satisfaction, and validate product direction.
• Track and report key business/product metrics from inception through closure, using insights to identify areas for improvement.
• Support Agile planning, release cycles, sprint delivery, UAT, documentation, training, and enablement for internal teams and external customers.
• Drive product roadmap planning by collaborating with cross-functional stakeholders to prioritize features, define business requirements, and align product initiatives with strategic goals.
• Leverage AI tools and methodologies to enhance requirement gathering, documentation, user story creation, and identify AI-driven opportunities to improve product capabilities and user experience.

Must-Have:

• Bachelor’s degree in Computer Science, Engineering, Business or related field (Master’s preferred).
•  Preferably in cloud infrastructure, FinOps, cloud cost optimisation, or dev tools.
• Strong understanding of AWS or other public-cloud: you should know at least the major compute / storage / services / networking footprint and usage patterns. 
• Proven ability to translate customer needs into product features, write product requirements (PRDs), and work with engineering teams on execution.
• Proficiency with product management, collaboration, and analytics tools (e.g., Jira, Confluence, Figma, Productboard, BI dashboards, PostHog)

Role Overview:

Virtana is seeking a Senior Manager, Global DevOps Engineering to lead the global team, platforms, and infrastructure that enable rapid, reliable product delivery. This leader will own DevOps strategy and execution across SaaS (GCP heavy, with presence in AWS and Azure) & on-premises Infrastructure, CI/CD, automation, reliability, security, and developer productivity, while aligning distributed teams and cross-functional stakeholders around measurable business outcomes.

Key Accountabilities:

• Strategy and Execution: Set the global DevOps roadmap and operating model, aligned with product, engineering, and business priorities.
• Global Leadership: Build, lead, and develop a high-performing team across geographies, with clear accountability and consistent engineering practices.
• Cloud and Platform Ownership: Own the architecture, reliability, security, scalability, and cost efficiency of global GCP and hybrid infrastructure.
• Software Delivery: Advance secure, standardized CI/CD, Infrastructure as Code, automation, and self-service capabilities to accelerate delivery and improve quality.
• Operational Excellence: Establish SLOs, observability, incident response, disaster recovery, governance and metrics for critical platforms. Own the global on-call program and serve as the escalation point for major incidents from SaaS Infra/DevOps side.
• Executive Partnership: Align stakeholders on priorities, investments, dependencies, and risk; communicate outcomes and tradeoffs to senior leadership.

Required Qualifications:  

• 15+ years in software engineering, infrastructure, cloud operations, or DevOps, including 5+ years leading senior or management-level teams.
• Proven success in leading global teams across geographies, cultures, and time zones.
• Deep expertise in GCP architecture, security, networking, reliability, and cost governance.
• Demonstrated ownership of enterprise CI/CD, build and release automation, and modern software delivery practices.
• Strong experience with Terraform or equivalent Infrastructure as Code, Kubernetes, containers, observability, SRE, and disaster recovery.
• Track record operating secure, resilient global infrastructure for fast-paced development and release environments.
• Daily hands-on use of AI tools (e.g., Claude) for IaC, CI/CD pipelines and incident response, with a record of driving AI adoption that improves delivery speed and quality.
• Executive-level communication and stakeholder leadership, with the ability to align priorities, resolve tradeoffs, and develop strong leaders.

🚀 WE ARE HIRING | JAVA FULL STACK DEVELOPER (React + Kafka + AWS + AI) 🚀

📍 Location: Mumbai

💼 Experience: 5+ Years

👨‍💻 Role: Java Full Stack Developer

Looking for an exciting career opportunity? We are hiring talented Java Full Stack Developers to join our growing team!

🔹 Required Skills:

• Java, Spring Boot & Microservices
• React.js
• Apache Kafka
• AWS Cloud Services
• AI technologies

📩 Interested candidates can share their updated resumes:

📧 Email:

revathi.r @vysystems. com

📞 Call / WhatsApp: 6 3 8 5 0 7 6 1 4 2

Job Title:   Remote Instructor- DevOps

Location:  Remote, Part-Time

About Scaler

Launched in 2019, Scaler is India’s leading tech education company that upskills working professionals and educates aspiring engineering students. Scaler’s industry-vetted curriculum provides solutions to real-world challenges addressing the changing dynamics of the technology industry through two flagship programs: Scaler Academy and Scaler DSML. Scaler believes in creating real-life impact by focusing on ‘impact-driven’ tech talent. Enrolled learners are mentored and taught by leaders and subject-matter experts working with leading organizations, including MAANG companies. Scaler has generated enviable career outcomes in a short period, and on average, its learners see a 4.5x RoI (return on investment) and salary hike of approximately 126%. To further redefine tech education, Scaler has launched Scaler Neovarsity - an online university that offers an outcome-focused Master’s Programme accredited with ECTS and Scaler School of Technology - a 4-year residential UG program in Computer Science. Scaler Enterprise is its B2B arm that focuses on building relationships with domestic and global organizations to provide them with industry-ready talent.

Over 900 companies have worked with Scaler for their tech recruitment needs. The startup’s parent firm, InterviewBit, is featured on the Financial Times’s Asia Pacific High Growth Companies 2021, 2022 and 2023 ranking. Valued at $710 million, Scaler is backed by marquee global investors like Peak XV Partners (formerly Sequoia Capital India), Tiger Global, and Lightrock India. It has expanded its footprints across India and the US.

Roles and responsibilities:

- Deliver weekly lectures on topics of your expertise, maintaining a high lecture rating.

- Figure out the right storytelling to enable maximum absorption of the content.

- 3 classes per week (9 Hours a week, Monday-Friday from 9pm-12am). 

Required skills:

• 5+ years of experience in DevOps roles (e.g., Security Analyst, Architect, GRC, DevSecOps)
• Strong knowledge of tools like:  AWS, DevOps tools, SIEM, IAM systems, firewalls, Cloud Security, OWASP, PKI
• Proficiency with security tools such as Wireshark, Metasploit, Nessus, and Kali Linux.
• Familiarity with DevOps, Cloud, or Software Engineering environments
• Good written communication and content creation skills
• Prior experience in course creation, bootcamp design, or tech writing
• Passion for teaching, mentoring, and instructional design
• You are high on empathy.
• You are a natural storyteller.
• You are great at problem-solving. When you see things broken, your first thoughts are on ways of fixing the given problem.

We are seeking a highly skilled Python Programmer and Insurance Analytics Lead to design, develop, automate, and operationalize predictive model development pipelines for Property & Casualty (P&C) Insurance. The role involves building reusable Python frameworks, feature engineering pipelines, MLOps solutions, automated model deployment and monitoring, and scalable analytics platforms supporting pricing, underwriting, claims, fraud detection, retention, and risk analytics.

Key Responsibilities

• Design, develop, and maintain scalable Python frameworks and automated predictive modeling pipelines for P&C insurance.
• Build robust feature engineering pipelines and implement MLOps practices for model deployment, monitoring, and lifecycle management.
• Drive insurance rating modernization by transforming legacy rating engines and integrating predictive models into pricing platforms.
• Collaborate with Data Scientists, Actuaries, Cloud Engineers, and business stakeholders to deliver scalable insurance analytics solutions.
• Lead ETL development and optimization initiatives across multiple teams, improving data integration, quality, and processing efficiency.
• Drive strategic initiatives to enhance ETL practices, establish best practices, and develop long-term technology roadmaps.
• Lead and mentor a team of 5+ professionals, ensuring effective delivery and technical excellence.
• Represent the ETL team in executive-level meetings and collaborate with cross-functional stakeholders on strategic initiatives.
• Support analytics solutions across pricing, underwriting, claims, fraud detection, customer retention, and risk management.

Required Skills & Qualifications

• 9–12 years of experience in Python development, ETL, data engineering, or data management.
• Strong hands-on expertise in Python programming, including Pandas, NumPy, object-oriented programming (OOP), classes, and coding best practices.
• Experience developing automated data pipelines, ETL frameworks, and scalable data processing solutions.
• Working knowledge of AWS cloud services, particularly Amazon S3 and data integration.
• Strong SQL skills and experience with database integrations and data processing.
• Experience in Property & Casualty (P&C) insurance analytics, insurance pricing, rating engines, underwriting, claims, or risk analytics.
• Understanding of predictive modeling pipelines, feature engineering, and MLOps practices.
• Experience leading teams of 5+ professionals and driving cross-functional technical initiatives.
• Strong stakeholder management, communication, and strategic planning skills.

Preferred Qualifications

• Experience in insurance rating modernization and integrating predictive models into pricing platforms.
• Exposure to model deployment automation, monitoring, and scalable analytics platforms.
• Experience collaborating with actuarial, data science, and cloud engineering teams.
• A bachelor's or master’s degree in computer science, Data Science, Information Technology, or a related field.

Location & Travel

• Locations: New Delhi (Gurugram), Bangalore, and Pune.
• Candidates may be required to travel to Gurugram on a quarterly basis, depending on client requirements.

Job Description – DevOps Engineer

Company: Kanhasoft

Experience: 4+ Years

Location: Ahmedabad (Work from Office)

Employment Type: Full-Time

Job Overview

We are looking for an experienced DevOps Engineer with 4+ years of hands-on experience in managing cloud infrastructure, CI/CD pipelines, deployment automation, and server administration. The ideal candidate should have strong knowledge of cloud platforms, containerization, infrastructure management, and deployment processes to ensure scalable, secure, and reliable application delivery.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for automated build, testing, and deployment.
• Manage and maintain cloud infrastructure on AWS, Azure, or Google Cloud.
• Work with Docker and Kubernetes for containerization and orchestration.
• Automate infrastructure provisioning and configuration management.
• Monitor application performance, server health, and system availability.
• Manage Linux servers, networking, security, and troubleshooting.
• Implement backup, disaster recovery, and security best practices.
• Collaborate with development and QA teams to streamline deployment processes.
• Identify and resolve infrastructure, deployment, and production-related issues.
• Optimize cloud resources, performance, and infrastructure costs.

Required Skills & Qualifications

• 4+ years of professional experience in DevOps or Cloud Infrastructure.
• Strong hands-on experience with AWS, Azure, or GCP.
• Good knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions.
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of Linux/Unix server administration.
• Experience with Infrastructure as Code (IaC) tools such as Terraform or Ansible.
• Knowledge of Git and version control systems.
• Understanding of networking, DNS, load balancing, firewalls, and security.
• Experience with monitoring tools such as Prometheus, Grafana, or ELK Stack.
• Strong troubleshooting, problem-solving, and communication skills.

Preferred Qualifications

• Experience managing production environments.
• Knowledge of scripting languages such as Bash or Python.
• Experience with cloud security and cost optimization.
• Familiarity with microservices architecture.

What We Are Looking For

• A proactive professional with strong technical and analytical skills.
• Ability to work independently and manage multiple infrastructure tasks.
• Strong collaboration skills to work with cross-functional teams.

Title: Tech Lead / Engineering Lead

Experience: 8-10 years

Location: Sector 55, Gurugram (On-site, 5 days)

Industry: B2B SaaS / Enterprise Technology

About Master-O:

Master-O is a sales enablement platform used by leading enterprises across industries like FMCG, Pharma, Banking, Insurance, Automotive, Retail, Technology etc. to drive the capability development and frontline readiness for their customer-facing teams with the help of microlearning, game-based assessments and AI-powered conversational roleplays.

As we continue to expand our enterprise deployments across Pan India, North America, Middle East, and Southeast Asia, we are looking for a Tech Lead to take ownership of our engineering function and drive the successful delivery, implementation, and scalability of our solution.

The Role:

This is a high-ownership role for someone who enjoys building features, solving complex engineering problems, and collaborating with internal teams and customers. You will be leading a team of 5–6 developers and will be the face of the engineering function at Master-O.

Reporting directly to the Founder, this role requires someone who can balance engineering excellence with business priorities and ensure reliable delivery across multiple enterprise clients and geographies.

We are particularly interested in people who have prior worked in a growing SaaS organisation or have entrepreneurial experience and understand what it takes to build and deliver features from scratch.

Key Responsibilities:

1. Engineering Leadership & Technical Ownership

• Own the engineering function, including architecture, development, code quality, performance, scalability, security, and maintenance.
• Lead a team of 5-6 engineers, providing technical direction, reviewing code, ensuring timely delivery and nurturing their career path.
• Remain hands-on with development and debugging rather than functioning solely as a people manager.
• Establish engineering standards, development practices, testing protocols, and release processes.
• Make pragmatic technology decisions that balance long-term scalability with ad-hoc  business requirements.

2. Enterprise Implementations & Client Delivery

• Own the technical execution of our implementations with enterprise clients across the globe.
• Drive client-specific configurations, integrations, customizations, deployments, and production rollouts.
• Work closely with the Founder, Customer Success team, Product team, and other key stakeholders to translate client requirements into robust technical outcomes.
• Troubleshoot complex production issues, manage technical dependencies within team, and ensure implementation timelines and quality standards are met.
• Build reusable frameworks and integration capabilities that reduce implementation time and minimize repetitive custom development.

3. AI Engineering & Emerging Technologies

• Evaluate and implement AI capabilities that solve real enterprise problems and enhance product functionality.
• Experience integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents into enterprise applications will be a strong advantage.
• Understand the practical considerations of deploying AI in production, including data security, reliability, latency, cost, and evaluation.
• Encourage responsible adoption of AI coding tools such as Claude Code while ensuring engineers retain strong fundamentals, understand the code they ship, and take ownership of its quality.

4. Team & Execution Management

• Take ownership of engineering priorities, sprint execution, resource allocation, and delivery commitments.
• Build a culture of accountability, ownership, collaboration, and continuous improvement.
• Ensure the team can independently diagnose and resolve technical problems rather than relying excessively on external tools or generated code.
• Collaborate with leadership to align engineering priorities with customer commitments, product roadmaps, and business objectives.

Required Technical Skills:

• Strong hands-on experience with Node.js, Express.js, React, MySQL, Python, and AWS.
• Solid understanding of backend architecture, REST APIs, database design, system integrations, and cloud-based deployments.
• Experience building, maintaining, and scaling production-grade mobile and web applications.
• Strong debugging, code review, system design, and performance optimization skills.
• Familiarity with software development lifecycle practices, version control, automated testing, CI/CD, and production monitoring.
• Ability to make independent technical decisions and take ownership of issues from identification through resolution.

Experience & Qualifications:

• 8–10 years of relevant software engineering experience, with demonstrated progression into technical leadership.
• Prior experience leading a team of junior and mid-level engineers.
• Experience in a B2B SaaS company or an enterprise technology environment is strongly preferred.
• Experience managing enterprise client implementations, integrations, and production deployments.
• B.Tech / B.E. in Computer Science, Information Technology, or a related engineering discipline, preferably from a Tier-1 engineering college.

What We Are Looking For:

We are looking for a seasoned engineering professional who has experience handling multiple clients, varied integration requirements, competing priorities, and production issues.

You must be flexible to coordinate across time zones and work outside standard business hours when client implementations or critical releases require it.

This role offers the opportunity to work closely with the Founder, influence the product and architecture decisions, lead a compact engineering team, and directly shape how our technology scales across enterprise customers in not just domestic but international markets.

Shift: Second Shift (2:00 PM – 10:00 PM)

Joining: Immediate

About the Role

We are looking for an experienced Data Integration Developer with strong hands-on expertise in SQL, Python, ETL development, Snowflake, and AWS data services.

The ideal candidate should have extensive experience in designing, developing, and maintaining data integration solutions, building data warehouse architectures, and implementing scalable ETL pipelines. Strong SQL development and performance optimization skills are essential for this role.

This is a remote position; however, candidates must be available to visit our Mumbai or Bangalore location for three days during the onboarding process.

Key Responsibilities

SQL Development & Performance Optimization

• Develop complex SQL queries, stored procedures, and data transformation logic.
• Optimize SQL queries for performance, scalability, and efficiency.
• Perform advanced data analysis, validation, and reconciliation.
• Troubleshoot complex SQL and data-related issues.

ETL Development & Data Integration

• Design, develop, and maintain ETL pipelines and data integration workflows.
• Work with SQL and Python for data extraction, transformation, and loading.
• Ensure data accuracy, consistency, and integrity across systems.
• Identify and resolve data pipeline failures and integration issues.

Data Warehousing & Data Modeling

• Design and maintain data warehouse architectures.
• Develop data warehouse schemas based on business requirements.
• Work on dimensional data modeling, including Facts and Dimensions.
• Implement Slowly Changing Dimensions (SCD).
• Support data analysis and business information reconciliation.

Snowflake & AWS

• Develop and manage data solutions using Snowflake.
• Work with AWS services, particularly Amazon S3.
• Manage AWS connections and data access configurations.
• Build and maintain cloud-based data integration solutions.

Python & Apache Airflow

• Develop data processing and automation solutions using Python.
• Build, schedule, and monitor workflows using Apache Airflow.
• Troubleshoot workflow failures and improve pipeline reliability.

Agile & Development Lifecycle

• Participate in Agile development processes, sprint planning, and team discussions.
• Contribute throughout all stages of the software development lifecycle.
• Collaborate with cross-functional teams to understand business and technical requirements.
• Perform root cause analysis and implement appropriate corrective actions.

Required Skills

• Advanced SQL – Strong hands-on expertise is mandatory.
• Python Development
• ETL Development and Data Integration
• Snowflake
• Apache Airflow
• AWS Services, particularly Amazon S3
• AWS Connection Management
• Data Warehouse Architecture
• Data Modeling (Facts & Dimensions)
• Slowly Changing Dimensions (SCD)
• SQL Query Optimization and Performance Tuning
• Data Analysis and Reconciliation
• Troubleshooting and Root Cause Analysis
• Agile Development Methodologies
• Strong understanding of the Software Development Life Cycle (SDLC)

Experience & Qualifications

• 8–10 years of overall experience in Data Engineering / Data Integration / ETL Development.
• Strong professional experience in advanced SQL and Python.
• Hands-on experience with Snowflake, Apache Airflow, and AWS.
• Proven experience designing and developing data warehouse solutions.
• Experience working across the complete product development lifecycle.
• Ability to independently troubleshoot complex technical challenges.

Additional Requirements

• Immediate joiners preferred.
• Must be comfortable working in the second shift (2:00 PM – 10:00 PM).
• Position is remote, with a mandatory three-day onboarding visit to Mumbai or Bangalore.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively in an Agile environment.

Excellent Job opportunity for Ecommerce role with one of the Beauty & Wellness Brand

Location : Lower Parel

Experience : 3+ Years

• 3 years of relevant experience in DevOps, Site Reliability Engineering (SRE), cloud operations, or application production support.
• Strong practical understanding of AWS cloud services, including compute, storage, IAM, networking, security, and monitoring.
• Good Linux administration skills, including system troubleshooting, performance analysis, log investigation, and service management.
• Hands-on experience with GitLab CI/CD, including pipeline configuration, execution, troubleshooting, YAML files, variables, artifacts, and GitLab Runners.
• Mandatory hands-on experience with Infrastructure as Code (IaC), preferably Terraform, including infrastructure provisioning, configuration management, reusable modules, state management, and troubleshooting deployment issues.
• Working knowledge of Git, branching strategies, merge requests, and version control workflows.
• Good understanding of networking fundamentals, including DNS, TCP/IP, ports, routing, load balancers, and AWS security groups.
• Ability to systematically investigate and resolve infrastructure, application, and deployment issues using logs, metrics, monitoring tools, and dependency analysis.
• Working knowledge of Python or Shell scripting for operational automation and troubleshooting.
• Strong problem-solving skills, communication, collaboration, willingness to learn, and ownership of incidents through resolution.

Preferred Skills and Experience

• Basic SQL knowledge for application and database-related operational investigations.
• Experience with AWS monitoring and logging services, particularly Amazon CloudWatch.
• Familiarity with incident, problem, and change management processes in production environments.
• Exposure to operational automation, proactive monitoring, alert optimization, and root cause analysis (RCA).
• Understanding of cloud infrastructure best practices, including security, reliability, availability, and cost optimization.
• Experience supporting containerized applications using Docker, Kubernetes, or Amazon EKS would be an advantage.

Role Overview

• Role: Senior DevOps / CloudOps Engineer
• Domain: IoT Smart Controls & Building Management Systems (BMS) Platform
• Environment: Scale-Up product ecosystem demanding Startup Agility

Key Responsibilities

• Cloud & Infrastructure Management: Design, provision, and maintain secure, highly available cloud infrastructure (AWS/Azure/GCP) with application of Infrastructure as Code capabilities(Terraform/Ansible)
• IoT & Real-Time Messaging Scalability: Manage high-throughput MQTT broker clusters and WebSocket communication layers to support massive concurrent device telemetry
• CI/CD Pipeline Operations: Build and optimize automated build, test, and deployment pipelines for heterogeneous micro-services spanning Java Spring Boot backends, PHP services, and containerized components.
• Container Orchestration: Manage Docker containers and Kubernetes clusters ensuring seamless micro-services orchestration, zero-downtime rollouts, and failover resilience.
• Monitoring & Observability: Implement comprehensive logging, tracing, and metric alerts (Prometheus, Grafana, ELK stack) across cloud components and edge-to-cloud communication paths.
• Cross-Functional Collaboration: Coordinate with firmware teams (C/C++) and mobile/web application teams (React Native, JavaScript, Android, iOS) to ensure smooth continuous integration and API gateway reliability

Required Skills & Qualifications

• Experience: 8+ years of hands-on cloud engineering and DevOps experience in production environments.
• Cloud & IaC: Deep proficiency in cloud platform administration (AWS/Azure) alongside Terraform.
• Networking & Protocols: Solid understanding of TCP/IP, DNS, load balancing, WebSockets, and MQTT broker scaling (e.g., EMQX, HiveMQ, or Mosquitto).
• Containerization Stack: Working knowledge of Docker, Kubernetes, and Helm charts.
• Scripting & Automation: Good scripting fundamentals in Python, Bash
• Tech Stack Familiarity: Operational awareness of Java Spring Boot, PHP, and JavaScript ecosystems to debug deployment bottlenecks and assist engineering teams.

Senior Technical Manager

Primary objective: Own engineering teams, architecture, delivery governance and successful execution of product and AI initiatives across DocTutorials.

Location

Hyderabad / Chennai

Employment

Full-time

Experience

10+ years

Role Summary

The Senior Technical Manager combines technical leadership, people management, product delivery and project execution. The role is accountable for team outcomes, engineering quality, timelines, production stability and the disciplined delivery of AI projects.

Key Responsibilities

1. Technology and Architecture Leadership

·       Provide direction for Python FastAPI, React/Next.js, data, cloud and AI architectures.

·       Review solution designs for security, scalability, maintainability, performance and cost.

·       Define engineering standards and resolve complex cross-team technical risks.

·       Remain technically hands-on through architecture reviews, critical code reviews and incident debugging.

2. People and Delivery Management

·       Lead, mentor and develop engineering teams with clear goals and accountability.

·       Own estimation, capacity, execution, dependencies, risks, releases and delivery recovery plans.

·       Conduct regular one-to-ones, performance reviews, coaching and skill-development planning.

·       Work with Product, QA, DevOps and stakeholders to deliver measurable product outcomes.

3. AI Project Execution

·       Assess AI use cases for feasibility, data readiness, risk, cost and measurable value.

·       Lead delivery of LLM, RAG, agentic and AI-assisted product initiatives from PoC to production.

·       Ensure evaluation, human validation, security, privacy, observability and rollback controls.

·       Prevent isolated demos, uncontrolled AI usage and dependency on individual engineers or vendors.

Required Skills and Experience

·       10+ years in software engineering with significant technical and people leadership experience.

·       Strong understanding of Python/FastAPI, React/Next.js, APIs, databases, cloud and distributed systems.

·       Proven ownership of product delivery, project planning, risk management and production operations.

·       Experience hiring, mentoring, evaluating and developing engineering teams.

·       Strong knowledge and execution experience across AI/ML, LLM, RAG or agentic-AI projects.

·       Practical understanding of Generative AI, LLMs, RAG, Agentic AI and responsible AI use relevant to the role.

·       Ability to use approved AI tools productively while protecting source code, credentials, learner data and organisational information.

·       Commitment to human review, testing, security validation and traceability for AI-assisted outputs.

Good-to-Have Experience

·       EdTech or medical-learning product experience.

·       AWS, Kubernetes, DevSecOps, MLOps or LLMOps.

·       Experience scaling teams and platforms through major transformation.

How Success Will Be Measured

·       Delivery becomes predictable with risks identified early.

·       Engineering quality, security and production stability improve.

·       AI projects progress from validated use cases to reliable production outcomes.

·       Team capability, ownership, engagement and succession strength increase.

·       Work consistently delivers measurable outcomes and business value—not merely completion of assigned tasks or activities.

Expected mindset: Own the outcome, use AI responsibly, communicate risks early and deliver secure, measurable value for DocTutorials and its learners.

JOB DESCRIPTION

Position: Full-Stack Developer + DevOps Engineer

Department: Customer Support

Location:Chennai

Employment Type: Full-Time

Experience: Min 5 years of experience

Job Summary

We are looking for a hands-on Full-Stack Developer with DevOps experience who can build, deploy, maintain, and scale web applications. The ideal candidate should have strong experience in React, Python, cloud infrastructure, CI/CD pipelines, and application deployment. The candidate will be responsible for developing frontend and backend applications while ensuring reliable deployments, infrastructure management, and production performance.

Key Responsibilities

1. Full-Stack Development

* Develop responsive and scalable web applications using React.

* Build and maintain backend services, APIs, and business logic using Python.

* Integrate frontend applications with backend services and databases.

* Write clean, reusable, maintainable, and well-tested code.

* Debug application issues and improve performance and security.

2. DevOps and Cloud Infrastructure

* Manage and maintain cloud infrastructure using AWS and/or Microsoft Azure.

* Build, configure, and maintain CI/CD pipelines for automated testing and deployment.

* Automate application builds, releases, and deployment workflows.

* Manage server environments, application hosting, monitoring, and logging.

* Troubleshoot production issues and ensure application availability and reliability.

* Implement infrastructure automation and deployment best practices.

3. Collaboration and Ownership

* Collaborate with engineering, product, and QA teams.

* Participate in code reviews, technical discussions, and release planning.

* Identify opportunities to improve development workflows and deployment efficiency.

* Take ownership of application development, infrastructure, and production support.

Required Skills

·       Strong hands-on experience with React.

·       Proficiency in Python and backend development.

·       Experience building and integrating REST APIs.

·       Practical experience with AWS and/or Microsoft Azure.

·       Hands-on experience configuring and managing CI/CD pipelines.

·       Understanding of cloud deployments, servers, networking, and application monitoring.

·       Familiarity with Git, version control, and collaborative development workflows.

·       Strong debugging, troubleshooting, and problem-solving skills.

Good to Have

·       Experience with Docker and Kubernetes.

·       Infrastructure as Code tools such as Terraform.

·       Experience with databases such as PostgreSQL.

·       Knowledge of Linux, scripting, security, and cloud cost optimization.

·       Experience with automated testing and production monitoring.

Role Overview: Take full ownership of infrastructure architecture, scaling, and uptime. Establish the technical roadmap, shape and formalize the SRE function, and coach engineers. Design, deploy, and run AI-scale infrastructure that enables real-time healthcare workflows.

Serve as a Founding Member, owning end-to-end infrastructure capabilities and introducing AI-first DevOps, SRE, and MLOps best practices, with direct collaboration alongside the Founder, Co-Founder, and Head of Engineering.

Key Responsibilities:

Architecture & Platform

• Design scalable, secure, cost-efficient AWS/GCP architectures for AI and healthcare workloads
• Lead IaC standards and reusable modules org-wide; own GitOps practices
• Architect optimized Kubernetes (EKS/GKE) for HA, scale, and GPU workload orchestration

Reliability Engineering

• Define and drive reliability targets (SLOs/SLIs); establish SRE practice
• Lead incident management, RCA, and blameless post-mortems for critical systems
• Partner on infrastructure hardening and compliance (SOC 2, HIPAA)

AI-First Engineering

• Lead AI/ML inference and GPU infrastructure scaling in production
• Evaluate and introduce AI tooling, platforms, and automation best practices
• Contribute to LLM deployment pipelines and AI systems reliability

Leadership & SDLC

• Mentor L1/L2 engineers; influence cross-team infrastructure decisions
• Drive DevSecOps maturity across the SDLC (policy-as-code, SBOM, supply-chain security)
• Evaluate and introduce new tooling and platforms

Key Requirements:

• 4–8 years infrastructure/platform/DevOps/SRE
• Deep expertise in AWS & GCP large-scale production systems
• Advanced Kubernetes (cluster design, multi-tenant ops, resource quotas)
• AI/ML inference or GPU infrastructure scaling (production track record)
• Strong Terraform / equiv. and GitOps practices
• Python, Go, or Bash scripting and automation
• Track record in scale, reliability, and cost efficiency
• Lead incident response and on-call practices

Nice-to-Have

• LLM Gateway architecture and optimization
• Zero-trust networking and advanced security/compliance (SOC 2, HIPAA)
• DevSecOps maturity: SBOM, supply-chain security, policy-as-code
• Open-source contributions or platform-team leadership

Why This Role?

• Build infrastructure and products powering real-world healthcare AI
• Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)
• Mission-driven impact — improve patient outcomes and save thousands of staff hours
• High ownership, rapid learning, and significant career upside
• Global collaboration across India and the US
• Seed-stage growth — scale from Seed to Series A alongside the team
• Founding Member role and own the entire infrastructure capabilities, including bringing best AI-first practices in DevOps, SRE and MLOps; direct access to work with the Founder, Co-Founder and Head of Engineering

Senior Ruby on Rails (RoR) & AWS Developer

Experience: 10 Years

Location: Bangalore

Work Mode: Hybrid – 3 days per week in office

Contract Duration: 6 Months

CTC: ₹9–12 LPA

Job Description

We are looking for an experienced Senior Ruby on Rails (RoR) & AWS Developer with strong expertise in backend development, cloud infrastructure, containerization, automated testing, and database management.

Mandatory Skills

• Strong experience in Ruby on Rails (RoR) development.
• Hands-on experience with Amazon Web Services (AWS).
• Experience with Docker and containerized applications.
• Proficiency in RSpec for automated testing and test-driven development.
• Strong knowledge of SQL and relational databases.
• Experience with at least one frontend technology: React.js or Angular.

Key Responsibilities

• Design, develop, test, and maintain web applications using Ruby on Rails.
• Build and integrate REST APIs and backend services.
• Deploy and maintain applications on AWS.
• Containerize applications using Docker.
• Write and maintain automated test cases using RSpec.
• Develop and optimize SQL queries and database operations.
• Collaborate with frontend developers and cross-functional teams.
• Troubleshoot application issues and improve performance, reliability, and code quality.

Work Requirements

• Approximately 10 years of relevant professional experience.
• Willingness to work from the Bangalore office 3 days per week.
• Comfortable with a 6-month contract engagement.

Interested candidates can share their updated resumes for consideration.

Golang Developer

Experience: 6-8 years

Employment Type: Permanent, Full-time

Desired Skill: Golang,Python, GRPC, RestAPIs, AWS

Work Mode: Pune, India

Availability: Immediate Joiners

Must have skills:

● 6+years of Software Development experience

● 5+years of GoLang programming; Prefers additional proficiency in Python

● Knowledgeable in writing REST APIs

● Comfortable programming in production grade systems

● Experience with building HTTP based services

● Strong background of optimizing performance

● Familiarity with event-driven systems

● Experience dealing with highly concurrent, distributed architectures/systems.

Good to have skills:

• Exposure to relational databases
• Experience with Cloud Providers such as AWS is an advantage; cloud privileged access (CIEM, IAM roles, ephemeral credentials)
• Experience using Terraform to manage infrastructure as code would be an advantage
• Hands-on experience building or extending Privileged Access Management (PAM) capabilities — credential vaulting, secrets management, password rotation, just-in-time / time-bound privileged access
• Working knowledge of privileged session management and session recording — session proxying/brokering, keystroke and video capture, session replay, live monitoring and termination, tamper-evident audit trails
• Familiarity with remote access protocols and gateways — SSH, RDP, HTTPS/web-based sessions; protocol proxying and man-in-the-middle session interception

Technical Architect – Product Engineering

Experience: 15+ Years

Location: Pune, India

Employment Type: Full-time

Desired Skills: Python, Technical Architecture, AWS, Microservices, SaaS / Multi-tenant Architecture, Kubernetes, System Design

About the Role

We are looking for a Senior Technical Architect to lead the architecture, design, and technical evolution of an enterprise SaaS product. This is a hands-on leadership role requiring deep technical expertise, strong product engineering experience, and the ability to build scalable, secure, and high-performance platforms.

The ideal candidate should be passionate about solving complex engineering problems, driving innovation, mentoring development teams, and effectively leveraging AI to accelerate software development.

Key Responsibilities

• Own the overall product architecture and technical roadmap.
• Design and build scalable, secure, and highly available enterprise applications.
• Lead the design and implementation of new product features from concept to production.
• Remain hands-on with coding and contribute to critical product components.
• Drive architecture reviews, code quality, performance optimization, and engineering best practices.
• Lead cloud architecture, security, scalability, and DevOps initiatives.
• Evaluate and adopt modern technologies to improve product capabilities and engineering efficiency.
• Leverage AI tools (ChatGPT, GitHub Copilot, Cursor, Claude, etc.) to accelerate software development, code reviews, testing, documentation, debugging, and productivity.

Required Skills & Qualifications

• 15+ years of software product engineering experience with at least 5 years in a Technical Architect role.
• Strong hands-on expertise in Python and modern backend frameworks.
• Deep experience with AWS services and cloud-native application architecture.
• Strong understanding of DevOps, CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), Docker, Kubernetes, and container orchestration.
• Experience designing microservices, REST APIs, event-driven architectures, and distributed systems.
• Strong knowledge of SQL and NoSQL databases.
• Experience with scalable SaaS platforms, multi-tenant architectures, and secure application design.
• Excellent understanding of software design patterns, performance tuning, observability, and system reliability.
• Strong analytical, problem-solving, and decision-making skills.

Tech Lead – Data Lake Platform

Recruitment & Payroll Company: Neogencode Technologies

Job Location: Sector 43, Gurugram, Haryana

Work Mode: On-site (Work from Office)

Working Days: 5 days a week

Experience Required: 5+ years

Employment Type: Full-time

About the Opportunity

We are hiring a Tech Lead – Data Lake Platform. This opportunity involves working on an enterprise-grade AWS data lake platform supporting data engineering, analytics, reporting, and business applications.

The candidate will be employed on the payroll of Neogencode Technologies and will work at the client location in Sector 43, Gurugram.

Key Responsibilities

• Own and design end-to-end data lake architecture, including data ingestion, staging, curated layers, and data consumption.
• Lead data engineering pipelines using AWS services, Apache Airflow, Spark/PySpark, and dbt.
• Manage AWS data services such as S3, EMR, Glue, Athena, Redshift, Lambda, RDS, IAM, and DMS.
• Design and support API/data-serving solutions using PostgreSQL, Hasura GraphQL, or similar technologies.
• Improve pipeline performance, platform reliability, monitoring, and service-level agreements (SLAs).
• Ensure data security, access control, personally identifiable information (PII) protection, and governance.
• Mentor data engineers, conduct code reviews, and handle production incidents and root-cause analysis.
• Collaborate with business and application teams to deliver data and reporting solutions.

Required Skills

• 5+ years of experience in data engineering or platform engineering, including technical leadership.
• Strong hands-on experience with AWS data services and enterprise data lake architecture.
• Production experience with Apache Airflow, Spark/PySpark, and SQL.
• Strong understanding of data modeling and layered data architecture.
• Experience with PostgreSQL and Hasura GraphQL or a similar API/data-serving layer.
• Proven experience in technical leadership, production support, and troubleshooting.

Good to Have

• Experience with dbt and lakehouse table formats.
• Knowledge of Kafka or streaming data ingestion.
• Experience with Redshift optimization and workload design.

Job Title : Senior AWS Data Engineer – Data Lake Platform

Experience : 5+ Years

Location: Gurugram Sector 43, Haryana

Work Mode : Work From Office (5 Days a Week – Monday to Friday)

Open Positions : 8+

About the Role :

We are looking for a skilled Senior AWS Data Engineer with strong hands-on experience in building, managing, and optimizing enterprise-scale data lake platforms on AWS.

The ideal candidate will have expertise in AWS data services, PySpark, Apache Airflow, and large-scale data pipeline development. The role involves designing end-to-end data ingestion and processing workflows, maintaining data quality, optimizing platform performance, and supporting analytics and downstream data consumption requirements.

Mandatory skills :

AWS Data Lake, Amazon S3, EMR, Glue, Athena, Redshift, DMS, Lambda, RDS, IAM, PySpark, Apache Spark, Apache Airflow, Python, Advanced SQL, Data Modeling, Production Data Pipelines, Hasura/GraphQL, PostgreSQL, and Production Support.

Key Responsibilities :

• Design, develop, and maintain scalable AWS-based data lake platforms and end-to-end data pipelines.
• Build data ingestion, staging, transformation, curated, and consumption layers using AWS services.
• Develop and optimize data processing pipelines using PySpark, Apache Spark, and AWS EMR.
• Implement workflow orchestration and scheduling using Apache Airflow.
• Work with Amazon S3, AWS Glue, Glue Data Catalog, Amazon Athena, and Amazon Redshift for data storage, cataloging, processing, and analytics.
• Develop efficient SQL queries and implement data modeling strategies for enterprise reporting and analytics.
• Build and support data-serving solutions using Amazon RDS, AWS Lambda, API Gateway, and PostgreSQL-based platforms.
• Monitor pipeline performance, troubleshoot production issues, perform root-cause analysis, and ensure data pipeline SLAs.
• Implement data security, access controls, PII protection, and governance best practices across the platform.
• Optimize data processing performance, query execution, storage utilization, and AWS infrastructure costs.
• Collaborate with application, analytics, and business teams to deliver reliable and scalable data solutions.

Mandatory Skills :

• AWS Data Services : Amazon S3, EMR, Glue, Athena, Redshift, DMS, Lambda, RDS, and IAM.
• Data Engineering : Strong hands-on experience building and maintaining enterprise data lake platforms.
• Programming : Python, PySpark, and Apache Spark.
• Orchestration : Production experience with Apache Airflow.
• Database & SQL : Advanced SQL, data modeling, and query optimization.
• Data Architecture : Experience with data ingestion, staging, transformation, curated layers, and consumption architecture.
• Production Support : Pipeline monitoring, troubleshooting, root-cause analysis, and SLA management.
• API / Data Serving : Experience with Hasura or a similar GraphQL-based data-serving layer integrated with PostgreSQL.
• Platform Ownership : Ability to independently manage data pipelines, improve platform reliability, and collaborate with cross-functional teams.

Good-to-Have Skills :

• Experience with dbt for data transformation and modeling.
• Knowledge of data lakehouse architectures and table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.
• Experience with Amazon Redshift workload optimization, distribution keys, sort keys, and Spectrum.
• Knowledge of Kafka and real-time or streaming data ingestion.
• Experience with PostgreSQL or Amazon Aurora as a data-serving layer.
• Familiarity with data governance, compliance, and sensitive-data management.
• Experience in the BFSI or health insurance domain.

Ideal Candidate Profile :

• 5+ years of hands-on experience in AWS Data Engineering.
• Strong experience building and supporting production-grade AWS data lake platforms.
• Practical expertise in PySpark, Apache Airflow, SQL, and AWS data services.
• Ability to troubleshoot complex data pipeline issues and optimize performance.
• Strong understanding of data architecture, data modeling, and production support practices.
• Candidates with experience in enterprise data platforms and insurance or BFSI environments will be preferred.

About Orenda

Orenda is a fintech-enabled financial services company founded in 2017 and based in Ahmedabad, Gujarat. We work as a corporate DSA and channel partner for leading banks and NBFCs, helping individuals, professionals, and MSMEs access suitable financial solutions across business loans, personal loans, home loans, loan against property, and professional loans.

At Orenda, we combine financial expertise, technology, and streamlined processes to simplify the lending journey. We are building our own lending-tech platform to improve operational efficiency, strengthen lender and partner integrations, and develop technology-driven solutions that support our evolving business needs.

About the role

We're looking for a Lead Software Engineer who enjoys building as much as designing. You'll shape how our systems are architected, write a good share of the code yourself, and lead a team of 3 to 5 engineers, including AI/ML engineers.

This is a hands-on leadership role, not a pure management or architecture position. Your time will be roughly split like this:

Share of time

Leading the team ~30%

Solution design ~30%

Hands-on coding ~30%

Deployment and infrastructure~10%

What you'll work on

Solution design and architecture

• Turning business needs into technical designs that are practical to build and easy to maintain

• Making architecture decisions across services, integrations and data flows

• Estimating, scoping and planning new features with business and product stakeholders

• Shaping the solution design for AI/ML use cases alongside the AI/ML engineers

Engineering and delivery

• Writing production code in Python and Node.js

• Rolling out new features across our internal and partner-facing platforms, including our CRM and partner portal

• Continuously improving existing systems for performance, reliability and code quality

• Reviewing code and setting engineering standards for the team

Infrastructure and cloud

• Maintaining and upgrading our infrastructure, including a planned move to a major cloud platform

• Owning deployments and production stability together with the team

• Working with event-driven and messaging systems (NATS today, Kafka planned)

Team leadership

• Leading and mentoring a team of 3 to 5 engineers

• Planning and prioritising work, unblocking the team, and making sure things ship

• Building a culture of ownership, clear documentation and quality

What we're looking for

• 5 to 8 years of software engineering experience, with hands-on coding in your recent roles

• Strong command of Python and Node.js

• Proven experience designing and building backend systems and microservices that run in production

• Hands-on experience deploying and running workloads on at least one major cloud platform (AWS, Azure or GCP)

• Solid working knowledge of PostgreSQL

• Experience with messaging or event streaming systems such as NATS, Kafka or RabbitMQ

• Experience leading or mentoring a small engineering team

• Comfort estimating effort, breaking down features and planning delivery

• Enough understanding of AI/ML systems to guide their solution design and integration

• Clear communication with both technical and non-technical stakeholders

Good to have

• Experience working at a fintech, lending or financial services company

• Hands-on experience with Kafka

• Experience leading an infrastructure upgrade or cloud migration

• Experience building or scaling CRM or partner-facing portal products

Why Join Us?

• Build a growing lending-tech platform: Play a key role in shaping the technology behind a growing financial services business.
• Own technical decisions: Contribute directly to architecture, engineering standards, and technology direction.
• Stay hands-on: Combine solution design and technical leadership with meaningful coding responsibilities.
• Work with emerging technologies: Collaborate with AI/ML engineers and contribute to evolving platform capabilities.
• Lead and grow a team: Mentor engineers and help build a strong engineering culture as the technology function scales.
• Make a measurable impact: Build systems that improve operational efficiency and support business growth.

We’re Hiring | Technology Lead – Java & AWS

Locations: Kochi | Trivandrum | Bangalore

Experience: 15–18 Years

Key Skills: Java, AWS, AI/ML

What We’re Looking For

Strong hands-on expertise in Java and enterprise application development.

Solid experience with AWS and cloud-based architectures.

Practical experience implementing AI/ML solutions.

Expertise in solution architecture, system integration, and scalable application design.

Proven ability to lead technical initiatives while remaining actively involved in coding, design, and troubleshooting.

Experience delivering end-to-end enterprise solutions.

About the Role

We are looking for an AI/ML Engineer with 4+ years of Strong hands-on experience building and deploying production-grade AI systems. The ideal candidate should have strong expertise in Computer Vision, Generative AI, RAG pipelines, Voice AI, and LLM-powered applications, with experience delivering scalable, production-ready solutions across enterprise, healthcare, or SaaS environments

Key Responsibilities

• Design, develop, and deploy production-ready AI/ML and Generative AI applications, Computer Vision solutions.
• Build and optimize LLM-powered applications for real-world business use cases.
• Develop and maintain RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
• Build Voice AI solutions including speech-to-text (STT), text-to-speech (TTS), conversational AI, and voice-enabled assistants.
• Create and optimize prompt engineering strategies to improve LLM output quality, consistency, and reliability.
• Work with open-source LLMs for inference, fine-tuning, evaluation, and deployment.
• Implement model monitoring, evaluation, guardrails, and performance optimization.
• Collaborate with DevOps and cloud teams for scalable deployments.
• Optimize AI systems for latency, cost, scalability, and production performance.
• Integrate AI services through APIs and enterprise applications.

Required Skills & Experience

• 4+ years of experience in AI/ML engineering and production deployments.
• Strong experience in Python and AI/ML development.
• Hands-on experience with Generative AI and LLM applications.
• Strong hands-on experience in Computer Vision using Python and frameworks such as OpenCV, PyTorch, and TensorFlow.
• Experience with Computer Vision tasks such as object detection, image classification, image segmentation, and feature extraction.
• Familiarity with models and libraries such as YOLO, Detectron2, MMDetection, and torchvision.
• Experience with image preprocessing, data augmentation, model training, evaluation, and inference optimization.
• Exposure to OCR technologies such as Tesseract or EasyOCR and vision-based deep learning models is an advantage.
• Experience building RAG pipelines using:
• Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB, Milvus
• Embeddings and retrieval optimization
• Experience with Prompt Engineering techniques for LLM optimization.
• Experience with Open Source LLMs such as:
• Llama, Mistral, Falcon, Gemma, DeepSeek, Qwen
• Experience with Voice AI technologies:
• Speech-to-Text (Whisper, Deepgram, Google STT)
• Text-to-Speech (ElevenLabs, Azure Speech, Amazon Polly)
• Conversational Voice Agents
• Experience using frameworks/tools:
• LangChain, LangGraph, LlamaIndex, Hugging Face
• Understanding of fine-tuning, model evaluation, inference optimization, and AI observability.
• Experience deploying applications using:
• Docker, Kubernetes, CI/CD
• AWS / Azure / GCP

Preferred Qualifications

• Experience delivering AI solutions for Healthcare, Enterprise, or SaaS platforms.
• Exposure to MLOps practices and model lifecycle management.
• Understanding of AI governance, security, and responsible AI practices.
• Experience integrating AI with APIs and production services.

Nice to Have

• Knowledge of agentic AI workflows and orchestration.
• Experience with monitoring and evaluation frameworks.
• Exposure to multimodal AI applications

Education Qualifications

• B.Tech / M.Tech in CSE / IT / AI&ML only from good college.