Position Summary:

We are looking for a Staff Software Engineer – Full Stack & AI Innovation with strong hands-on experience in TypeScript (Node.js, JavaScript), and/or Python and a passion for leveraging AI-driven code generation tools to accelerate development. You will play a critical role in operationalizing GenAI-based code generation platform. This role involves translating product specifications into structured inputs for GenAI tools, reviewing the code generated by GenAI tool, and providing feedback to product engineering team to improve quality and performance of the GenAI tool.

You will work closely with product managers, software engineers, and AI specialists to ensure that the generated code aligns with business and technical requirements. The ideal candidate is curious, adaptable, critic and eager to evaluate AI-assisted code generation tool.

Key Responsibilities:

• Develop, Analyze and structure product specifications for input into GenAI programming tools.
• Operate GenAI systems to generate code based on structured inputs.
• Perform detailed code reviews of GenAI-generated programs to ensure correctness, performance, and maintainability.
• Utilize several other AI-powered code generation tools (Cursor.ai, Windsurf, etc.) to compare and optimize GenAI tool in subject.
• Provide feedback to improve GenAI model outputs and prompt engineering strategies.
• Review and validate generated code for correctness, efficiency, and adherence to coding standards.
• Maintain documentation of input formats, code review findings, and feedback cycles.
• Stay current with advancements in GenAI programming tools and code generation technologies.
• Participate in code reviews and mentor junior developers.

Basic Qualifications:

• Bachelor’s/master’s in computer science, Engineering, or equivalent experience.
• 8 to 10 years' experience with strong expertise in at least one of the following:
• TypeScript / JavaScript (Node.js, React, Next.js, Angular, Vue.js)
• Python (Django, Flask, FastAPI/ RestAPI)
• Person must have designed, developed, and maintained scalable front-end and back-end applications using TypeScript/JavaScript/Python.
• Solid understanding of front-end technologies (HTML5, CSS3, Tailwind, Material UI or similar).
• Familiarity with GenAI tools and LLM-based code generation platforms (e.g., GitHub Copilot, CodeWhisperer, etc.).
• Experience with databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).
• Hands-on experience with Cursor.ai and/or Windsurf (plus other AI-assisted coding tools like GitHub Copilot, Tabnine, Codeium).
• Strong understanding of software development principles and code review practices.
• Familiar with Code review tools (e.g. GitHub, GitLab, Bitbucket etc)
• Strong grasp of software design principles (OOP, SOLID, microservices).
• Excellent problem-solving, debugging, and collaboration skills.
• Excellent analytical and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience working with prompt engineering or structured input design for GenAI systems.
• Exposure to MLOps or AI model evaluation frameworks.
• Knowledge of software architecture and design patterns.
• Knowledge of containerization (Docker, Kubernetes).
• Exposure to serverless architecture and event-driven systems.
• Contribution to open-source or AI-driven development communities.

About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 7+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

Job Title: Full stack developer - Bangalore and Gurgaon

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore, Pune, Gurugram

Experience - 5 to 8 Years

Skills and Qualifications:

About the Job: Mobile Application & Web Developer Detail-oriented and innovative Mobile Application & Light Web Developer with extensive experience building, optimizing, and supporting cross-platform native and hybrid apps and light web solutions. Proven ability to leverage modern frameworks for intuitive user experiences, integrate with critical APIs and backend services, and collaborate within agile teams. Passionate about delivering secure, customer-focused mobile and web experiences. Skills & Technologies

• Mobile: React, Angular, Ionic, Capacitor, Cordova, Typescript/JavaScript • (Swift (iOS), Kotlin (Android)) • Web: React, Angular, TypeScript, JavaScript (ES6+), Material UI, Redux • Testing & CI/CD: Jest, Jasmine, Karma, CodeMagic, AppFlow, GitLab Pipeline • Cloud & APIs: Firebase, AWS, RESTful APIs, GraphQL, MongoDB, SQL, Redis • Other: CSS3, SASS, HTML5, PWA, Offline-first/Local Storage, UI/UX Design • Workflow: Agile/Scrum, Remote collaboration, Unit testing, Code reviews

Technical Proficiencies Category || Technologies / Tools Mobile Dev || React, Ionic, Capacitor, Cordova, Swift, Kotlin Web Dev || React, Angular, TypeScript, UI Libraries (Material, Tailwind) APIs/Cloud || RESTful APIs, GraphQL, Firebase, AWS Testing/CI || Jest, Jasmine, GitHub Actions

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Position Summary:

We are seeking a Solution Architect – (AI Infrastructure & Hybrid Cloud) to lead the strategic design, architecture, and deployment of large-scale, enterprise-grade Red Hat OpenShift and Kubernetes environments. As a technical authority at the L4 level, you will be responsible for defining the blueprint of our cloud-native infrastructure, ensuring it is secure, scalable, and highly automated.
The ideal candidate acts as the bridge between traditional infrastructure and modern DevOps, serving as the lead design authority for global clients. You will collaborate with Network and Firewall Architects to build a unified fabric where containerized workloads, legacy data centers, and hybrid cloud environments coexist seamlessly through advanced automation and Infrastructure-as-Code (IaC).

Key Responsibilities:

• Architect and Design Enterprise OpenShift Solutions: Lead the high-level design (HLD) and low-level design (LLD) for multi-tenant Red Hat OpenShift and Kubernetes clusters across on-prem and hybrid cloud environments.
• Define the technology stack, standards, and blueprints for deploying AI solutions across global, multi-region public clouds (AWS/Azure/GCP) and diverse on-premise hardware.
• Oversee the successful end-to-end rollout of critical services including AI SOC, OpenShift AI, and AI-based Cybersecurity Log Optimization.
• Drive Network DevOps Strategy: Define and standardize the automation roadmap using Ansible, Terraform, and Python to achieve "Zero-Touch" infrastructure provisioning and configuration.
• Lead Customer & Stakeholder Engagement: Act as the primary technical consultant for global clients, leading design workshops, architecture validation, and executive-level technical reviews.
• Integrate Advanced AI apps, Networking & Security: Collaborate with Pre-sales, AI application developers & Engineers, Firewall Architects to design secure AI agents & use cases, container networking (CNI) models, implementing Zero-Trust security, service mesh (Istio), and micro-segmentation within OpenShift environment.
• Optimize Hybrid Infrastructure: Oversee the seamless integration of OpenShift with physical networking (Cisco ACI, VXLAN) and virtualized platforms (RHEL-V, VMware ESXi).
• GPU & Hardware Orchestration: Design and manage hardware acceleration using the NVIDIA GPU Operator and Node Feature Discovery (NFD). Implement Multi-Instance GPU (MIG) and time-slicing to optimize resource utilization across multi-tenant clusters.
• Establish CI/CD Governance: Architect robust CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) for infrastructure and application delivery, ensuring compliance and security are baked into the workflow.
• Lead Observability & Reliability: Design comprehensive monitoring and logging architectures using Prometheus, Grafana, and ELK stack to ensure 99.99% availability of cluster services.
• Mentorship & Technical Leadership: Guide and mentor L2/L3 engineers, providing expert-level escalation support and establishing best practices for the DevOps and Network teams.
• Innovation & R&D: Evaluate and introduce emerging technologies such as Advanced Cluster Management (ACM), Advanced Cluster Security (ACS), and Cloud-Native Networking (OVN-Kubernetes).

Basic Qualifications:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field
• 10+ years of progressive experience in systems architecture, infrastructure engineering, or network DevOps.
• Expert/Architect-level proficiency in OpenShift (RHOS), and Kubernetes architecture in large-scale production environments.
• Experience architecting hybrid-cloud OpenShift solutions involving AWS (ROSA), Azure (ARO), or Google Cloud.
• Proven track record in Automation & IaC: Mastery of Ansible, Terraform, and Git-based workflows to manage complex infrastructures.
• Deep understanding of Linux (RHEL) Internals: Mastery of kernel networking, storage drivers (CSI), and container runtimes (CRI-O).
• Strong Network Background: In-depth knowledge of BGP, VXLAN, and EVPN as they apply to connecting containerized workloads to physical data center fabrics.
• Experience in "Architecture as Code": Ability to develop and maintain compliance artifacts, design validation reports, and automated documentation.
• Excellent Leadership Skills: Demonstrated ability to manage high-stakes customer relationships and lead cross-functional technical teams

Preferred Qualifications:

• Certifications: Red Hat Certified Architect (RHCA), Red Hat Certified Specialist in OpenShift (Administration/Development), or CKA/CKS (Certified Kubernetes Administrator/Security), AWS/GCP Certified DevOps Engineer, AWS Certified SysOps Administrator, HashiCorp Certified: Terraform Associate
• Red Hat Certified OpenShift Administrator, AWS Certified AI Practitioner, Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP)
• Security Focus: Exposure to DevSecOps tools (e.g., Quay, StackRox) and zero-trust framework implementation
• Legacy Integration: Familiarity with Cisco ACI, Arista CloudVision, or Juniper Apstra for end-to-end automation integration
• Red Hat OpenShift AI (ROAI) expertise will be preferred
• Familiarity with LLM deployment requirements and vector database infrastructure
• Background in Cybersecurity infrastructure (SIEM, SOAR, SOC & VAPT platforms)
• Experience with MLOps infrastructure (Kubeflow, MLflow) and high-speed telemetry pipelines

About the Role

We are seeking an experienced Engineering Infrastructure Security Manager to lead the security of our production and non-production engineering systems. This is a critical leadership role responsible for securing the infrastructure that powers the software development lifecycle, including source control systems, CI/CD pipelines, build environments, deployment platforms, developer tools, and associated cloud resources. The ideal candidate will bring deep technical expertise in infrastructure security, strong leadership capabilities, and a solid understanding of modern engineering and DevSecOps practices.

Key Responsibilities

Engineering Systems Security

• Design and implement security controls across development, staging, testing, and production environments
• Secure CI/CD pipelines, build systems, and deployment automation against supply chain threats
• Manage security for source control systems, code repositories, and secrets management platforms
• Oversee security of containerized environments (Docker, Kubernetes) and IaC ecosystems
• Ensure security across multi-cloud environments (AWS, GCP, Azure) and hybrid infrastructure

Security Architecture & Technical Leadership

• Design and implement security frameworks aligned with engineering workflows and developer productivity
• Implement zero-trust architecture and least-privilege access models
• Secure API gateways, service meshes, and microservices architectures
• Lead security initiatives across observability, logging, and monitoring platforms
• Strengthen network security posture including firewalls, VPCs, and segmentation

Risk Management & Vulnerability Response

• Conduct security assessments and penetration testing across engineering systems
• Manage vulnerability scanning and remediation programs
• Develop threat models for critical systems and deployment pipelines 
• Lead incident response for infrastructure security events
• Track and analyze security metrics (deployment security, configuration compliance, infra drift)

Team Leadership & Collaboration

• Build, mentor, and manage a high-performing team of security engineers
• Drive a “security as code” culture across engineering teams
• Collaborate with platform, SRE, and development teams to embed security into SDLC
• Provide training and guidance on secure infrastructure practices
• Foster a culture of security awareness and proactive risk reporting

Policy, Compliance & Governance

• Define and enforce security policies aligned with SOC 2, ISO 27001, NIST, PCI-DSS
• Ensure compliance with data protection regulations (GDPR, CCPA)
• Implement strong access control mechanisms and RBAC (must-have)
• Conduct regular audits and maintain compliance documentation
• Manage security for production data access and handling

Automation & Continuous Improvement

• Drive automation of security monitoring, controls, and incident response
• Implement security-as-code using Terraform, CloudFormation, and policy frameworks
• Integrate automated security testing into CI/CD pipelines (SAST, DAST, container scans)
• Maintain infrastructure security baselines and automated compliance checks
• Continuously reduce security technical debt

Business Continuity & Disaster Recovery

• Design and test disaster recovery plans for engineering infrastructure
• Implement backup strategies for source code, artifacts, and configurations
• Ensure high availability and resilience of critical systems
• Support incident response and business continuity planning from a security perspective

Basic Qualifications

Technical Expertise

• 8–12 years of experience in infrastructure security or related fields, with 3+ years in a leadership role
• Strong expertise in cloud security (AWS, GCP, Azure) and cloud-native architectures
• Hands-on experience with Kubernetes, containers, and orchestration platforms
• Deep understanding of CI/CD security, supply chain security, and DevSecOps practices
• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
• Experience with security tools: SIEM, vulnerability scanners, IDS/IPS, endpoint protection
• Strong knowledge of network security, encryption, IAM, and secrets management

Leadership & Collaboration

• Proven experience building and managing high-performing security teams
• Experience driving cross-functional initiatives across engineering, operations, and product teams
• Strong project management and execution skills
• Ability to mentor and grow security talent

Communication & Strategic Thinking

• Strong communication skills with ability to explain complex concepts to technical and non-technical stakeholders
• Experience presenting security strategies and risk insights to leadership
• Ability to translate business needs into security solutions
• Strong documentation and process definition skills

Compliance & Risk Management

• Experience with compliance frameworks: SOC 2, ISO 27001, NIST, PCI-DSS
• Strong understanding of risk assessment and security frameworks
• Knowledge of data privacy and regulatory requirements

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field
• Security certifications such as CISSP, CISM, CCSP, CEH, or cloud security certifications
• Experience with GitOps workflows and tools like GitHub Advanced Security or GitLab Security
• Proficiency in scripting/programming (Python, Go, Bash) for automation
• Experience in regulated industries (finance, healthcare, government)
• Background in SRE or DevOps practices
• Experience securing microservices and serverless architectures
• Strong interest in security research and evolving threat landscapes

About the Role

We are seeking an experienced Infrastructure Security Engineer to work on the security of our production and non-production engineering systems. This is a critical  role responsible for securing the infrastructure that powers the software development lifecycle, including source control systems, CI/CD pipelines, build environments, deployment platforms, developer tools, and associated cloud resources. The ideal candidate will bring deep technical expertise in infrastructure security and a solid understanding of modern engineering and DevSecOps practices.

Key Responsibilities

Engineering Systems Security

• Design and implement security controls across development, staging, testing, and production environments
• Secure CI/CD pipelines, build systems, and deployment automation against supply chain threats
• Manage security for source control systems, code repositories, and secrets management platforms
• Oversee security of containerized environments (Docker, Kubernetes) and IaC ecosystems
• Ensure security across multi-cloud environments (AWS, GCP, Azure) and hybrid infrastructure

Security Architecture & Technical Leadership

• Design and implement security frameworks aligned with engineering workflows and developer productivity
• Implement zero-trust architecture and least-privilege access models
• Secure API gateways, service meshes, and microservices architectures
• Lead security initiatives across observability, logging, and monitoring platforms
• Strengthen network security posture including firewalls, VPCs, and segmentation

Risk Management & Vulnerability Response

• Conduct security assessments and penetration testing across engineering systems
• Manage vulnerability scanning and remediation programs
• Develop threat models for critical systems and deployment pipelines 
• Lead incident response for infrastructure security events
• Track and analyze security metrics (deployment security, configuration compliance, infra drift)

Policy, Compliance & Governance

• Define and enforce security policies aligned with SOC 2, ISO 27001, NIST, PCI-DSS
• Ensure compliance with data protection regulations (GDPR, CCPA)
• Implement strong access control mechanisms and RBAC.
• Conduct regular audits and maintain compliance documentation
• Manage security for production data access and handling

Automation & Continuous Improvement

• Drive automation of security monitoring, controls, and incident response
• Implement security-as-code using Terraform, CloudFormation, and policy frameworks
• Integrate automated security testing into CI/CD pipelines (SAST, DAST, container scans)
• Maintain infrastructure security baselines and automated compliance checks
• Continuously reduce security technical debt

Business Continuity & Disaster Recovery

• Design and test disaster recovery plans for engineering infrastructure
• Implement backup strategies for source code, artifacts, and configurations
• Ensure high availability and resilience of critical systems
• Support incident response and business continuity planning from a security perspective

Basic Qualifications

Technical Expertise

• 2–5 years of experience in infrastructure security or related fields.
• Strong expertise in cloud security (AWS, GCP, Azure) and cloud-native architectures
• Hands-on experience with Kubernetes, containers, and orchestration platforms
• Deep understanding of CI/CD security, supply chain security, and DevSecOps practices
• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
• Experience with security tools: SIEM, vulnerability scanners, IDS/IPS, endpoint protection
• Strong knowledge of network security, encryption, IAM, and secrets management

Compliance & Risk Management

• Experience with compliance frameworks: SOC 2, ISO 27001, NIST, PCI-DSS
• Strong understanding of risk assessment and security frameworks
• Knowledge of data privacy and regulatory requirements

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field
• Security certifications such as CISSP, CISM, CCSP, CEH, or cloud security certifications
• Experience with GitOps workflows and tools like GitHub Advanced Security or GitLab Security
• Proficiency in scripting/programming (Python, Go, Bash) for automation
• Experience in regulated industries (finance, healthcare, government)
• Background in SRE or DevOps practices
• Experience securing microservices and serverless architectures
• Strong interest in security research and evolving threat landscapes

DevSecOps Lead

Job Summary:

We are seeking a highly skilled and experienced DevSecOps Architect/Lead to lead the architecture, deployment, and configuration of DevSecOps solutions across hybrid and multi-cloud environments. The ideal candidate will have hands-on expertise in designing and implementing DevSecOps CI/CD solutions for automating end-to-end Delivery pipeline.

Experince Level:  9 to 12 ( Relevant years ) 

Key Responsibilities:

• Architect enterprise-grade DevSecOps solutions inline with industry standards
• Lead the discovery of CI/CD and IaC  and develop the blueprints for target architecture
• Lead the Assessment of the current state DevSecOps maturity and align to industry maturity models
• Must be able to design and architect the DevSecOps ecosystem from scratch
• Develop ways of working for Continuous Integration and Continuous Delivery with automated DevSecOps platforms
• Must have hands-on deep expertise in setting up CI/CD pipelines, IaC for Infrastructure provisioning, Security and Quality integrations in the pipeline with GitHub actions workflows.
• Design and implement end to end CI/CD pipelines with quality and security integration
• Design the CI/CD and IaC infrastructure and create standardized blueprints and reusable components
• Implement SAST, DAST, SCA tools and integrate in the CI/CD pipeline
• Good understanding of Azure Kubernetes and AWS Kubernetes
• Work closely with the customer Application teams and Infrastructure teams
• Implement reusable pipeline and IaC templates for infrastructure provisioning and integrate with the CI/CD pipelines
• Lead the onboarding of applications on the Core DevSecOps platform
• Understanding of GitOps practices using ArgoCD
• Develop Golden paths for Pipeline and IaC
• Create target architecture for enabling DevSecOps for applications and infrastructure
• Work with Observability team for DevSecOps integration with AIOps platform
• Design and build dashboards for end-to-end value stream visibility
• Implement identity, RBAC, and security controls for DevSecOps tools
• Create runbooks and SOP for application onboarding
• Develop wave plans for Enterprise rollout of the DevSecOps platform and practices.
• Good to have experience setting up DevSecOps Community of Practice and Centre of Excellence.

Required Skills & Qualifications:

• Proven hands-on experience with multiple CI/CD platforms like GitHub actions (primary), Azure DevSecOps, GitLab environments.
• Proven experience with GitHub Enterprise Server, JFrog Artifactory/Xray, Black Duck, and Open Source Libraries.
• Experience with Developer Toolchains (Ansible, Docker, Maven, Node, Python, Gulp, React, NuGet, Java/JDK/JRE)
• Strong knowledge of Azure, AWS, and GCP cloud infrastructure.
• Experience with integration of security (SAST, DAST, SCA) tools like Black Duck, Trivy, Synk, SonarQube, Veracode, Fortify in the pipeline
• Strong in IaC tools like Terraform or infrastructure provisioning (VMs, AKS, containers).
• Experience with application onboarding at scale on the DevSecOps platform
• Familiarity configuration management tools like Ansible for Infrastructure configurations.
• Familiarity with GitOps tools like ArgoCD
• Strong analytical skills and understanding of DevSecOps practices.
• Excellent communication and documentation skills.
• Experience working with Application teams to develop the target state DevSecOps architecture 

About the role

We are seeking an accomplished Data Engineer to join our dynamic and rapidly expanding Tech Ops division. With significant projected growth, this is an opportunity to drive meaningful technical impact. In this role, you will work directly with customers, data vendors, and internal engineering teams to design, implement, and optimize complex data integration solutions within a modern, large‑scale cloud environment.

You will leverage advanced skills in distributed computing, data architecture, and cloud-native engineering to enable scalable, resilient, and high‑performance data ingestion and transformation pipelines. As a trusted technical advisor, you will guide customers in adopting Abacus’s core data management platform and ensure high-quality, compliant data operations across the lifecycle.

Your day to day :

• Architect, design, and implement high-volume batch and real-time data pipelines using PySpark, SparkSQL, Databricks Workflows, and distributed processing frameworks.
• Build end‑to‑end ingestion frameworks integrating with Databricks, Snowflake, AWS services (S3, SQS, Lambda), and vendor data APIs, ensuring data quality, lineage, and schema evolution.
• Develop data modeling frameworks, including star/snowflake schemas and optimization techniques for analytical workloads on cloud data warehouses.
• Lead technical solution design for health plan clients, creating highly available, fault-tolerant architectures across multi-account AWS environments.
• Translate complex business requirements into detailed technical specifications, engineering artifacts, and reusable components.
• Implement security automation, including RBAC, encryption at rest/in transit, PHI handling, tokenization, auditing, and compliance with HIPAA and SOC 2 frameworks.
• Establish and enforce data engineering best practices, such as CI/CD for data pipelines, code versioning, automated testing, orchestration, logging, and observability patterns.
• Conduct performance profiling and optimize compute costs, cluster configurations, partitions, indexing, and caching strategies across Databricks and Snowflake environments.
• Produce high-quality technical documentation including runbooks, architecture diagrams, and operational standards.
• Mentor junior engineers through technical reviews, coaching, and training sessions for both internal teams and clients.

What you bring to the team :

• Bachelor’s degree in Computer Science, Computer Engineering, or a closely related technical field.
• 5+ years of hands‑on experience as a Data Engineer working with large‑scale, distributed data processing systems in modern cloud environments.
• Working knowledge of U.S. healthcare data domains—including claims, eligibility, and provider datasets—and experience applying this knowledge to complex ingestion and transformation workflows.
• Strong ability to communicate complex technical concepts clearly across both technical and non‑technical stakeholders.
• Expert‑level proficiency in Python, SQL, and PySpark, including developing distributed data transformations and performance‑optimized queries.
• Demonstrated experience designing, building, and operating production‑grade ETL/ELT pipelines using Databricks, Airflow, or similar orchestration and workflow automation tools.
• Proven experience architecting or operating large‑scale data platforms using dbt, Kafka, Delta Lake, and event‑driven/streaming architectures, within a cloud‑native data services or platform engineering environment—requiring specialized knowledge of distributed systems, scalable data pipelines, and cloud‑scale data processing.
• Experience working with structured and semi‑structured data formats such as Parquet, ORC, JSON, and Avro, including schema evolution and optimization techniques.
• Strong working knowledge of AWS data ecosystem components—including S3, SQS, Lambda, Glue, IAM—or equivalent cloud technologies supporting high‑volume data engineering workloads.
• Proficiency with Terraform, infrastructure‑as‑code methodologies, and modern CI/CD pipelines (e.g., GitLab) supporting automated deployment and versioning of data systems.
• Deep expertise in SQL and compute optimization strategies, including Z‑Ordering, clustering, partitioning, pruning, and caching for large‑scale analytical and operational workloads.
• Hands‑on experience with major cloud data warehouse platforms such as Snowflake (preferred), BigQuery, or Redshift, including performance tuning and data modeling for analytical environments.

What we would like to see but not required:

• Experience in large-scale healthcare or payer data environments.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

So, what’s the role all about?

NiCE is looking for a Senior Site Reliability Engineer. Candidates will work supporting large complex enterprise software clients including applications, servers, SQL, network and must have excellent problem-solving skills. As we expand our customer deployments, we are currently seeking an experienced SRE to deliver insights from massive scale data in real time. Specifically, we are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a cross-functional team to develop real-world solutions and positive user experiences at every interaction.

How will you make an impact?  

• Run the production environment by monitoring availability and taking a holistic view of system health
• Build software and systems to manage platform infrastructure and applications
• Improve reliability, quality, and time-to-market of our suite of software solutions
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating to continually improve
• Provide primary operational support and engineering for multiple large distributed software applications
• Gather and analyze metrics from both operating systems and applications to assist in performance tuning and fault finding
• Partner with development teams to improve services through rigorous testing and release procedures
• Participate in system design consulting, platform management, and capacity planning
• Create sustainable systems and services through automation and uplifts
• Balance feature development speed and reliability with well-defined service level objectives

Have you got what it takes?

• 4+ years programming/scripting experience with any of the following: (Go, Python, .Net (C#), Node)
• Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience).
• 6-8 years of working experience in a similar role, with a focus on systems engineering, automation, and reliability.
• Proficiency in at least one programming language (e.g., Python, Go, Java, C#) and experience with scripting languages (e.g., Bash, PowerShell).
• Deep understanding of cloud computing platforms (e.g., AWS), the working and reliability constraints of some of the prominent services (e.g., EC2, ECS, Lambda, DynamoDB etc)
• Experience with infrastructure as code tools such as CloudFormation, Terraform.
• Deep understanding of CI/CD concepts and experience with CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
• Strong knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture.
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack, Cloudwatch).
• Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
• Experience of Incident management and blameless postmortems that includes driving the incident response efforts during outages and other critical incidents, resolution, and communication in a cross-functional team setup.

You will have an advantage if you also have:

Kubernetes + certification, Grafana , AWS, Azure, DevOps experience.

 What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 8124

Reporting into: Tech Manager

Role Type: Individual Contributor

Summary:

The Senior Business Intelligence Analyst plays a pivotal role in driving data-driven decision-making across the organization. This role is responsible for developing dynamic dashboards, delivering actionable insights, and ensuring the effective use of analytics tools to support strategic objectives.

Responsibilities:

• Develop, maintain, and enhance Amazon Quicksight dashboards and reports to provide visibility into key business metrics.
• Analyze GTM data to deliver insights that improve decision-making and drive business outcomes.
• Create robust data models to streamline reporting and ensure alignment with strategic objectives.
• Design, implement, and manage weekly, monthly, and quarterly scorecards and forecasts for leadership.
• Partner with Sales, Marketing, and Customer Experience teams to ensure reporting aligns with business needs.
• Lead the administration and enhancement of Quicksight and other BI platforms to ensure scalability and usability.
• Provide provocative presentations to key stakeholders to advance understanding and strategy through compelling visuals.
• Educate GTM teams on how to use BI tools effectively, fostering a data-driven culture.
• Develop standardized reports and packages that provide field teams with the insights they need to succeed.
• Respond to requests for deep-dive analyses to uncover trends, opportunities, or risks.

Required Skills & Experience:

• 4+ years in Business Intelligence, Data Analytics, or a related field, with hands-on expertise in AWS Quicksight.
• Proficiency in SQL, Python, dbt, data modeling, data visualization, and advanced Excel/Google Sheets for modeling and analysis.
• Experience with AWS Quicksight/Athena/S3/Lambda, Gitlab, VSCode, Salesforce CRM, Google Sheets, Google Slides.
• Preferred experience with Fivetran.
• Strong ability to interpret data, identify trends, and translate findings into actionable strategies.
• Exceptional attention to detail and a knack for solving complex business problems.
• Ability to clearly convey insights and recommendations to both technical and non-technical stakeholders.
• Bachelor’s degree in Data Science, Computer Science, Analytics, or a relevant/equivalent field.
• Working knowledge of SaaS metrics (Bookings, Pipeline, Churn, NRR, GRR, LTV, ARR, CAC, etc.) and Revenue Forecasting.
• Bonus points for experience with other BI tools (e.g., Tableau, Power BI) and domain expertise in revenue enablement, GTM/sales operations, professional services reporting, customer intelligence, or churn prediction models.

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore/Pune/Chennai/Hyderabad

Shift Time:12:30 pm-9:30 pm

Java Full Stack:

Key Responsibilities

• Lead the design and development of scalable web applications using React, TypeScript or JavaScript
• Having experience in Angular
• Build reusable UI components and libraries for future use.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Integrate frontend components with backend services using RESTful APIs.
• Contribute to backend development using Java and Spring Boot, with support from senior backend engineers.
• Participate in code reviews, architecture discussions, and Agile ceremonies.
• Support and gradually enhance CI/CD pipelines using tools like Jenkins, GitHub Actions, or GitLab.

Required Skills

• 7+ years of experience in React.js, JavaScript or TypeScript.
• 4+ years of experience with Angular and React
• Familiarity with Java, Spring Boot, and microservices architecture.
• Experience with RESTful APIs, JSON, and asynchronous programming.
• Understanding of Git-based workflows and Agile methodologies.

Exposure to CI/CD tools and containerization (Docker, Kubernetes) is a plus

About Anchanto

Anchanto is a global enterprise SaaS company whose Cloud and AI products power end-to-end e-commerce and logistics operations for some of the world’s largest brands, 3PLs, and marketplaces. Our platforms process millions of orders across 70+ countries every month—and we’re still growing.

Role Overview

We are looking for a QA Automation Lead with 5+ years of hands-on automation experience to lead the design and execution of test automation across core SaaS products. This is a technically strong, hands-on leadership role ideal for someone passionate about building automation frameworks, mentoring others, and ensuring consistent, high-quality releases.

Key Responsibilities:

• Automation Strategy & Execution
• Lead automation planning, scripting, and execution across UI, API, database, and performance layers.
• Design and implement scalable test automation frameworks using tools like Testim, Selenium, Cypress, etc.
• Drive automation-first practices and integrate test suites with CI/CD pipelines for early defect detection.

Technical Leadership

• Guide QA engineers in writing clean, reusable, and robust automation code.
• Conduct code and script reviews; troubleshoot failures and improve test stability and coverage.
• Collaborate with developers and DevOps for continuous integration and test orchestration.

Collaboration & Delivery

• Work closely with Product, Engineering, and Release teams to ensure test coverage and quality gates throughout SDLC.
• Represent QA in agile ceremonies and play an active role in release readiness decisions.
• Own quality metrics like pass rate, defect leakage, and automation ROI.

Mentoring & Knowledge Sharing

• Coach junior automation engineers and promote best practices in test design, coverage, and maintainability.
• Conduct knowledge-sharing sessions, maintain test documentation, and support cross-product learning.

Required Skills & Experience

• 5+ years of experience in test automation for web, API, and backend services.
• Strong programming/scripting skills in Java, JavaScript, or Python.
• Hands-on experience with tools like Testim, Selenium, Cypress, Postman, REST Assured.
• Experience in database testing (SQL/NoSQL) and performance testing tools (e.g., JMeter, k6).
• Familiar with CI/CD tools like Jenkins, GitHub Actions, GitLab CI and Git-based workflows.
• Good understanding of Agile/Scrum methodologies and STLC processes.
• Proficient with test and defect management tools (Jira, Xray/Zephyr, Confluence).
• Strong communication and problem-solving skills; comfortable working with global teams.

Nice-to-Have

• Experience in SaaS, e-commerce, or logistics product domains.
• Exposure to self-healing automation or AI-powered test optimization tools.
• Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).

Why Join Us

• Be the driver of automation across high-scale, mission-critical SaaS platforms.
• Work in a cross-functional, global environment with opportunities to influence product quality at scale.
• Enjoy flexible work options, learning opportunities, and a culture that rewards ownership and excellence.

About Druva

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

About Role :  

The Foundation team at Druva is responsible for designing a highly performant and scalable cloud file system on the Druva cloud in AWS. To build this petabyte-scale, distributed, services-oriented cloud file system, various key concepts like file system metadata, versioning, and eventual consistency are used along with leveraging various AWS services like S3, DDB, and Kinesis. While the core file storage engine provides the backup storage for all the Druva products, allied components like the indexing engine, key-value store, and big data pipeline provide scalable search, analytics, and compliance services. The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take advantage of the continuous evolution of services and use them effectively in the background.

We are looking for a Senior Staff Software Engineer who is passionate about building highly scalable, secure, and performant infrastructure components that form the core of our data protection and data management platform. This role is ideal for someone with a deep understanding of systems programming, distributed storage, and cloud-native architecture and is looking to solve complex technical problems at scale.

We prefer candidates from Tier-1 institutes (IITs, NITs, BITS Pilani, IIIT-H, IISc) or those who have demonstrated exceptional systems-level depth through impactful work in high-scale backend systems, infrastructure platforms, or storage/security products.

Key Responsibilities

• Own the architecture, high-level and low-level design of data protection and data management services and frameworks.
• Design and implement secure, resilient, and highly scalable microservices using Python or Golang, following SaaS-first principles.
• Collaborate with architects, product managers, DevOps, and peer engineering teams to build storage and data services that manage data and metadata at scale.
• Continuously evaluate and integrate emerging technologies and tools to refine existing platforms and enhance product capabilities.Drive the adoption of best practices in system design, observability, testing, and CI/CD pipelines for high-quality releases.
• Mentor and guide junior team members in systems design, data protection principles, and high-velocity product development.
• Stay hands-on and contribute actively to feature delivery, incident handling, performance tuning, and code reviews.

Must-Have Skills

• AI first mindset to software development, having experience using genAI during various phases of software development lifecycle from design to code to test using tools like 'cursor'
• 5 -7 years of experience, preferably in a product company, building global scale distributed SaaS applications that handle petabytes of data.
• Expertise in Python or Golang with a focus on scalable, performant systems.
• Strong experience in cloud-native storage systems, metadata management, or distributed data pipelines.
• Hands-on experience building storage, backup, archival, or data protection products is highly desirable.
• Deep knowledge of cloud platforms like AWS or Azure and container orchestration using Kubernetes/Docker.
• Experience with event-driven architecture, message queues (Kafka/RabbitMQ), and gRPC/REST APIs.
• Familiarity with observability tools like Prometheus, Grafana, ELK, or Datadog.
• Solid understanding of system performance, multi-threading, and concurrency control.

Desirable Skills

• Prior experience with data security frameworks, encryption, key management, or compliance-focused features.
• Exposure to CI/CD tools like GitLab CI, CircleCI, or Jenkins.
• Agile development experience (Scrum/Kanban).
• Strong problem-solving, system debugging, and communication skills.

Ideal Candidate Profile

• Comes from a Tier-1 or Tier-2 engineering institute or has demonstrated deep backend systems expertise.
• Has built or worked on platform-level components used by multiple engineering teams.
• Enjoys tackling low-level system problems, scaling challenges, and performance bottlenecks.
• Has a product mindset, and collaborates well across teams to align tech design with business outcomes

Qualification: 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

General Summary:
The Senior Software Engineer I is responsible for developing high-quality, innovative, fully performing software in 
compliance with coding standards. This individual works in partnership with cross-functional teams to ensure that 
software deliverables, including designs, codes, and tests, are completed in a timely manner, while remaining 
aligned with industry and organizational standards

Essential Duties & Responsibilities:
• Provides support to the Engineering teams, with a high attention to detail
• Researches, analyzes, and documents findings
• May influence others within the Software Engineering team through the explanation of facts, policies, and practices
• Designs, builds, and maintains large-scale production services, web applications, data pipelines, and streaming systems
• Works on systems critical to company’s current and future operations
• Debugs production issues across services and multiple levels of the stack
• Assists with improvement of organizational engineering standards, tooling, and processes
• Participates in the testing process through test review and analysis, test witnessing, and certification of software
• Evaluates codes to ensure validity, proper structure, alignment with industry standards, and compatibility with operating systems 
• Maintains an understanding of current technologies or programming practices through continuing education, reading or participation in professional conferences, workshops, and/or groups

Knowledge, Skills, and/or Abilities Required:

• Strong hands‑on experience in Golang
• Expertise in any cloud technologies, AWS preferred
• Experience with Microservices
• Proficiency in GitLab for CI/CD pipeline
• Knowledge of NoSQL databases
• Ability to work independently on projects and processes with general supervision
• Practical knowledge of applicable work area
• Ability to situationally adapt and understand new technology/processes as per business requirement
• Knowledge of a variety of the field's concepts, practices, and procedures
• Ability to work constructively and independently under stress and pressure in a fast paced, multi-tasking environment
• Ability to interact positively and openly with colleagues and external business contacts, with strong verbal and written communication skills
• Knowledge of programming languages and software basics
• Knowledge of relevant software development tools including version control, build processes, debuggers, and test frameworks

Educational/Vocational/Previous Experience Recommendations:
• Bachelor’s degree in related field or equivalent business experience
• 4+ years of relevant experience

Working Conditions: Pune / Mumbai (Hybrid)

Job Description

We’re on a mission to deliver flawless products, and we need a Senior Test Engineer who shares our passion for quality! If you love digging deep to uncover issues before they reach customers, thrive on building smart automation, and believe that quality is everyone’s responsibility, this role is for you. You’ll play a critical part in shaping exceptional user experiences by leveraging cutting-edge tools, modern frameworks, and AI-driven testing practices - all while collaborating with talented teams to raise the bar for quality across the organization.

Mandatory Skills: Python Automation testing API, Karate framework  

Skills & Experience

• Communication & Collaboration – Strong communication skills with the ability to clearly articulate testing strategies and collaborate effectively with developers, product managers, and stakeholders.
• Manual & Exploratory Testing – Ability to design and execute manual test cases for complex scenarios, edge cases, and usability validation where automation is not feasible.
• Test Automation Frameworks – Hands-on experience designing and maintaining automated test suites using Cypress, Selenium, and other modern frameworks.
• Programming Skills – Proficiency in Python and JavaScript for building robust automation scripts and utilities.
• API Testing & Integration – Skilled in testing RESTful APIs using tools like Postman and Karate; experience validating IAM/AuthZ and different authorization systems.
• Test Design and Implementation (Risk-Based Testing & Quality Strategy) – Ability to apply sound judgment to determine test scope, depth, and prioritization without compromising quality.
• CI/CD & DevOps Integration – Experience integrating automated tests into CI/CD pipelines (GitLab, Jenkins etc.) for continuous quality assurance.
• Compliance & Security Awareness – Understanding of PCI DSS and other compliance standards relevant to payment systems.
• Version Control – Proficient in Git and collaborative workflows for managing test code and automation assets.

    Key Responsibilities 

• Design, develop, and maintain robust UI and API automation test suites for IAM, AuthZ, and STS components.
• Build scalable and maintainable automation frameworks, preferably using Karate for API and service-level automation.
• Collaborate with engineering teams to define test strategy, test plans, and test coverage for new and existing features.
• Validate end‑to‑end flows such as authentication, token generation, session management, OAuth/OIDC flows, roles & permissions, MFA, SSO, etc.
• Participate in architecture/design discussions to provide quality and testability insights early in the lifecycle.
• Ensure timely execution of regression suites and continuous integration pipelines.
• Perform root-cause analysis on test failures and work with developers to resolve issues.
• Implement test data strategies, mocks, and stubs as needed to support automation.
• Contribute to quality metrics, dashboards, and continuous process improvements.
• (Good to have) Support and execute performance and load testing for key IAM workflows.

 Educational/Vocational/Previous Experience Recommendations:

• Bachelor’s degree in related field or equivalent business experience
• 4 to 6 Years of experience

Notice Period: Max 2 months or serving Notice Period candidates will be preferred.

Work Location: Pune (Candidates willing to relocate to Pune will be considered for this role)

Working Conditions:

• Hybrid - Mandatory thrice a week from Hinjewadi office.

Job Title: GCP Platform Engineer 

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Job Title: GCP Platform Engineer

Location: Pune

Experience: 12-15 years

We are seeking a motivated and talented GCP Platform Engineer to join our growing data platform team. In this role, you will be responsible for building, managing, and automating the Google Cloud Platform infrastructure that powers our large-scale data engineering projects. You will work closely with our data engineers and Platform lead to create a scalable, reliable, and secure environment for our data workloads.
Key Responsibilities:
• Design, build, and maintain scalable and reliable GCP infrastructure using Infrastructure as Code (IaC) principles, primarily with Terraform.
• Provision and manage core GCP services, including VPC, IAM, Google Cloud Storage (GCS), BigQuery, Compute, CloudSQL, Dataflow, Dataproc, and Composer.
• Develop and maintain CI/CD pipelines for infrastructure deployment and automation.
• Implement and manage monitoring, logging, and alerting solutions to ensure platform health and performance.
• Collaborate with data engineers to understand their infrastructure needs and provide support.
• Ensure the security and compliance of the GCP environment by implementing best practices and policies.
• Contribute to the continuous improvement of the platform by evaluating new technologies and automating processes.
• Work under the guidance of a platform lead in a collaborative team environment.
Required Qualifications:
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 9+ years of hands-on experience with Google Cloud Platform (GCP).
• Proficiency in writing Infrastructure as Code (IaC) using Terraform.
• Experience with scripting languages such as Python or Bash.
• Understanding of networking concepts (VPCs, subnets, firewalls).
• Familiarity with CI/CD concepts and tools (e.g., Google Cloud Build, Jenkins, GitLab CI).
• Strong problem-solving skills and a collaborative mindset.
• Excellent communication skills.

Preferred Qualifications:
• Experience with data engineering services on GCP (e.g., BigQuery, Compute, CloudSQL, Dataflow, Dataproc, Composer).
• GCP certification (e.g., Associate Cloud Engineer, Professional Cloud DevOps Engineer).
• Experience with monitoring and logging tools like Google Cloud's operations suite (formerly Stackdriver).
• Familiarity with Agile development methodologies.

Job Title: GCP Platform Engineer 

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Job Title: GCP Platform Engineer

Location: Pune

Experience: 5-8 years

We are seeking a motivated and talented GCP Platform Engineer to join our growing data platform team. In this role, you will be responsible for building, managing, and automating the Google Cloud Platform infrastructure that powers our large-scale data engineering projects. You will work closely with our data engineers and Platform lead to create a scalable, reliable, and secure environment for our data workloads.
Key Responsibilities:
• Design, build, and maintain scalable and reliable GCP infrastructure using Infrastructure as Code (IaC) principles, primarily with Terraform.
• Provision and manage core GCP services, including VPC, IAM, Google Cloud Storage (GCS), BigQuery, Compute, CloudSQL, Dataflow, Dataproc, and Composer.
• Develop and maintain CI/CD pipelines for infrastructure deployment and automation.
• Implement and manage monitoring, logging, and alerting solutions to ensure platform health and performance.
• Collaborate with data engineers to understand their infrastructure needs and provide support.
• Ensure the security and compliance of the GCP environment by implementing best practices and policies.
• Contribute to the continuous improvement of the platform by evaluating new technologies and automating processes.
• Work under the guidance of a platform lead in a collaborative team environment.
Required Qualifications:
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 3-5 years of hands-on experience with Google Cloud Platform (GCP).
• Proficiency in writing Infrastructure as Code (IaC) using Terraform.
• Experience with scripting languages such as Python or Bash.
• Understanding of networking concepts (VPCs, subnets, firewalls).
• Familiarity with CI/CD concepts and tools (e.g., Google Cloud Build, Jenkins, GitLab CI).
• Strong problem-solving skills and a collaborative mindset.
• Excellent communication skills.

Preferred Qualifications:
• Experience with data engineering services on GCP (e.g., BigQuery, Compute, CloudSQL, Dataflow, Dataproc, Composer).
• GCP certification (e.g., Associate Cloud Engineer, Professional Cloud DevOps Engineer).
• Experience with monitoring and logging tools like Google Cloud's operations suite (formerly Stackdriver).
• Familiarity with Agile development methodologies.

What You Will Do and Learn

As a Data Engineer in Data Solutions, you’ll be responsible for designing, implementing, and testing proposed modern analytic solutions.  Working closely with our client partners and architects, you’ll develop relationships with key technical resources while delivering tangible business outcomes. 

Qualifications:

· 2-4 years’ experience developing industry leading business intelligence and analytic solutions

· Must have thorough knowledge of data warehouse concepts and dimensional modelling

· Must have experience in writing advanced SQL

· Must have at least 2+ years of hands-on experience on DBT (Data Build Tool). Mandatory to have most recent hands-on experience on DBT.

· Must have experience working with DBT on one or more of the modern databases like Snowflake / Amazon Redshift / BigQuery / Databricks / etc.

· Hands-on experience with Snowflake would carry higher weightage

· Snowflake SnowPro Core certification would carry higher weightage

· Experience working in AWS, Azure, GCP or similar cloud data platform would be an added advantage

· Hands-on experience on Azure would carry higher weightage

· Must have experience in setting up DBT projects

· Must have experience in understanding / creating / modifying & optimizing YML files within DBT

· Must have experience in implementing and managing data models using DBT, ensuring efficient and scalable data transformations

· Must have experience with various materialization techniques within DBT

· Must have experience in writing & executing DBT Test cases

· Must have experience in setting up DBT environments

· Must have experience in setting up DBT Jobs

· Must have experience with writing DBT Jinja and Macros

· Must have experience in creating DBT Snapshots

· Must have experience in creating & managing incremental models using DBT

· Must have experience with DBT Docs

· Should have a good understanding of DBT Seeds

· Must have experience with DBT Deployment

· Must Experience with architecting data pipelines using DBT, utilizing advanced DBT features

· Proficiency in version control systems and CI/CD

· Must have hands-on experience configuring DBT with one or more version control systems like Azure DevOps / Github / Gitlab / etc.

· Must have experience in PR approval workflow

· Participate in code reviews and best practices for SQL and DBT development

· Experience working with visualization tools such as Tableau, PowerBI, Looker and other similar analytic tools would be an added advantage

· 2+ years of Business Data Analyst experience

· 2+ years of experience writing Business requirements, Use cases and/or user stories, for data warehouse or data mart initiatives.

· Understanding and experience on ETL/ELT is an added advantage

· 2+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)

· 2+ years of years of experience with relational databases (Postgres, MySQL, SQL Server, Oracle, Teradata etc.)

· 2+ years of experience creating functional test cases and supporting user acceptance testing

· 2+ years of experience in Agile/Kanban/DevOps Delivery

· Outstanding analytical, communication, and interpersonal skills

· Ability to manage projects and teams against planned work

· Responsible for managing the day-to-day client relationship on projects

· Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance

· Collaborate with team members to design and implement technology that aligns with client business objectives

· Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients

· Team management experience and ability to manage, mentor and develop talent of assigned junior resources

· Create actionable recommendations based on identified platform, structural and/or logic problems

· Communicate and demonstrate a clear understanding of client business needs, goals, and objectives

· Collaborate with other architects on solution designs and recommendations.

We are seeking a Software Developer in Test (SDET) to focus on our automation and manual testing of the suite of software products that we offer to customers. The candidate will be required to carry out tests to ensure the software we’re building addresses the business requirements and provides user friendly experience to our customers. The primary role is heavy on writing automated tests, maintaining them and triaging failures. This role will also include manual testing work for newer initiatives.

THE DAY-TO-DAY

• Define risk-based test plans and acceptance criteria in partnership with Product/Engineering; translate user stories into clear test cases.
• Build and maintain automated tests (Cypress/TypeScript preferred) across E2E, integration, and API layers; create reusable utilities/page objects and stabilize flaky tests.
• Implement and own CI/CD test gates (smoke/regression) with parallelization and clear pass/fail signals; track coverage and test health metrics.
• Perform targeted manual/exploratory testing for new features, edge cases, and UX flows; drive regression for critical paths.
• Create and manage test data, mocks/fixtures, and environment configurations to keep tests deterministic and fast.
• Coordinate with engineers to reproduce, triage, and debug issues using logs/metrics/trace tools; verify fixes and prevent regressions.
• Own post-deploy smoke testing and release sign-off for web apps and mobile apps; document results and risks.
• Continuously improve the QA/SDET toolchain and practices (coding standards, coverage goals, flake budgets, reporting dashboards).

WHAT MAKES YOU QUALIFIED

• Bachelor’s degree in Computer Science/Software or related field (advanced degrees a plus).
• 3+ years in software testing with strong grounding in functional/regression and modern test design techniques (BC, EP, pairwise, etc.).
• Hands-on experience testing web applications and mobile apps end-to-end, including UX/UAT and bug verification across browsers/devices.
• 2+ years focused on test automation, including designing scalable frameworks and CI integration.
• Proficiency with Cypress (preferred) and JavaScript/TypeScript; experience with API testing (Postman/Newman, supertest, REST/GraphQL) and at least one additional tool (Playwright/WebdriverIO/Jest/Mocha).
• Comfortable with CI/CD (GitHub Actions/CircleCI/GitLab), Git, and basic Docker; familiarity with env management and secrets.
• Strong analytical skills; fluency with SDLC/Agile and tooling (Atlassian suite or similar).
• Ability to produce clear documentation (test plans, traceability, results) and communicate risks to technical and non-technical stakeholders.
• Experience writing and maintaining automated tests (unit/integration/E2E) with a focus on reliability and maintainability.
• Experience with Cypress specifically (selectors, fixtures, commands, intercepts, parallelization).

The position disclosed is a contract position looking to be filled immediately. The contractor will be expected to work during EST (New York- USA) hours 9 AM - 5 PM. 

This position is open to international applicants. 

We are seeking a Senior Software Developer in Test (SDET) to focus on our automation and manual testing of the suite of software products that we offer to customers. The candidate will be required to carry out tests to ensure the software we’re building addresses the business requirements and provides user friendly experience to our customers. The primary role is heavy on writing automated tests, maintaining them and triaging failures. This role will also include manual testing work for newer initiatives.

THE DAY-TO-DAY

• Define risk-based test plans and acceptance criteria in partnership with Product/Engineering; translate user stories into clear test cases.
• Build and maintain automated tests (Cypress/TypeScript preferred) across E2E, integration, and API layers; create reusable utilities/page objects and stabilize flaky tests.
• Implement and own CI/CD test gates (smoke/regression) with parallelization and clear pass/fail signals; track coverage and test health metrics.
• Perform targeted manual/exploratory testing for new features, edge cases, and UX flows; drive regression for critical paths.
• Create and manage test data, mocks/fixtures, and environment configurations to keep tests deterministic and fast.
• Coordinate with engineers to reproduce, triage, and debug issues using logs/metrics/trace tools; verify fixes and prevent regressions.
• Own post-deploy smoke testing and release sign-off for web apps and mobile apps; document results and risks.
• Continuously improve the QA/SDET toolchain and practices (coding standards, coverage goals, flake budgets, reporting dashboards).

WHAT MAKES YOU QUALIFIED

• Bachelor’s degree in Computer Science/Software or related field (advanced degrees a plus).
• 5+ years in software testing with strong grounding in functional/regression and modern test design techniques (BC, EP, pairwise, etc.).
• Hands-on experience testing web applications and mobile apps end-to-end, including UX/UAT and bug verification across browsers/devices.
• 3+ years focused on test automation, including designing scalable frameworks and CI integration.
• Proficiency with Cypress (preferred) and JavaScript/TypeScript; experience with API testing (Postman/Newman, supertest, REST/GraphQL) and at least one additional tool (Playwright/WebdriverIO/Jest/Mocha).
• Comfortable with CI/CD (GitHub Actions/CircleCI/GitLab), Git, and basic Docker; familiarity with env management and secrets.
• Strong analytical skills; fluency with SDLC/Agile and tooling (Atlassian suite or similar).
• Ability to produce clear documentation (test plans, traceability, results) and communicate risks to technical and non-technical stakeholders.
• Experience writing and maintaining automated tests (unit/integration/E2E) with a focus on reliability and maintainability.
• Experience with Cypress specifically (selectors, fixtures, commands, intercepts, parallelization).

The position disclosed is a contract position looking to be filled immediately. The contractor will be expected to work during EST hours 9 AM - 5 PM EST (New York, USA). 

This position is open to international applicants.