Lead a large team of web application developers, driving system design, AWS migration, and adoption of generative AI and modern engineering practices.
Compensation
The salary range for this position is 155,000.00 - 260,000.00 USD Annual and is eligible for an annual bonus based on individual and company performance.
Responsibilities
Manage a large team of web application developers with direct accountability for performance, engagement, hiring and career development.
Set technical direction and execution standards for scalable, secure and maintainable web applications.
Drive the migration of enterprise workloads from on premise to AWS.
Partner with architects, product managers, reliability engineers, quality engineers and security team to deliver robust software applications.
Ensure engineering decisions align with non-functional requirements including availability, latency, throughput, fault tolerance and recoverability.
Requirements
Bachelor’s degree
Nice to have: Digital Service Engineering environment
Support the FM&C infrastructure team assisting multiple ASA-FM&C cloud systems involving Microsoft, Linux, and various cloud native services hosted in AWS.
Responsibilities
Create, maintain, and monitor AWS accounts in the cARMY environment
Provide cloud and administrative support to system implementation teams
Coordinate higher level changes across cARMY teams
Provide consistent and reliable cloud ops support
Support system deployments to multiple environments (DEV, TEST, PROD, and more)
Requirements
Nice to have: DoD Cybersecurity Policy DoDI 8500.01
Nice to have: DoD Risk Management Framework
Nice to have: Application deployment in DoD environments
Design and implement distributed, event-driven data architectures on AWS, drive automation, and support enterprise architecture for Infosys Data and Analytics unit.
Locations (3)
Somerset, New Jersey, United States
South Brunswick, New Jersey, United States
Reston, Virginia, United States
Compensation
The estimated annual compensation for this role Somerset, NJ- $96021 to $124827 South Brunwick, NJ - $96021 to $124827 Reston, VA- $104637 To $136028
Responsibilities
Participate in customer discussions to gather and analyze system requirements for performance, security and scalability
Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation
Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options
Data Engineer - BDA
Qube Research & Technologies · Posted Oct 30, 2026
Seeking a Data Engineer to build and maintain the BDA data platform, developing applications and business insights for senior stakeholders while supporting data science, analysis, and applied AI.
Responsibilities
Build and maintain the BDA data platform
Design, build, and operate data pipelines and datasets on AWS using S3, Lambda, Step Functions, Glue and Athena
Define infrastructure as code and deliver changes through CI/CD
Integrate internal and external data sources, validating data quality and reliability
Build reporting and BI views and communicate findings to non-technical stakeholders
Requirements
Degree in Computer Science, Engineering, Mathematics, Statistics or another relevant technical discipline
Lead Software Engineer responsible for designing, building, and delivering secure, high-quality production code and leading technical initiatives within an agile team.
Responsibilities
Executes creative software solutions, design, development, and technical troubleshooting
Develops secure high-quality production code, reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Lead Data Engineer role focused on driving the modernization of a large-scale reconciliation data platform from legacy Hadoop to Databricks on AWS using Scala Spark and cloud-native patterns.
Responsibilities
Build and optimise large-scale Scala Spark data pipelines on Databricks, focusing on the reconciliation domain — writing clean, modular, and production-ready code
Drive modernisation efforts by refactoring legacy Hadoop-based pipelines into cloud-native Databricks/AWS architectures using Delta Lake and Databricks Workflows
Tune and simplify complex or over-engineered Spark jobs — analysing performance bottlenecks and transforming them into efficient, standardised patterns
Translate designs into reality — take high-level architectural decisions and convert them into detailed technical implementations, data models, and reusable pipeline components
Collaborate daily with architects, platform, and DevOps teams on design discussions, technical decisions, and production releases
Focus on the cloud side working on AWS infrastructure and Terraform, keeping CI/CD and deployments reliable while building developer self-service platforms.
Locations (2)
Brno, South Morian Region, Czech Republic
Brumov-Bylnice, Silesian Region, Czech Republic
Compensation
Motivating salary package. Quarterly bonuses.
Responsibilities
Taking ownership of selected services and evolving our AWS infrastructure in Terraform: refactoring, modularizing and keeping a large codebase clean and predictable.
Running and improving our container platform on ECS Fargate, plus the serverless and data services around it (Lambda, IoT Core, Kinesis, Step Functions, RDS).
Building a developer self-service platform: reusable Terraform modules and service templates, so teams can launch a new service without writing raw Terraform.
Standardizing CI/CD in GitHub Actions across our repositories with reusable workflows and safe deployment patterns.
Lead a technical team to build and maintain data platform solutions for fraud-related data assets, driving cloud-native engineering practices and DevSecOps.
Compensation
Great compensation package and discretionary bonus plan
Responsibilities
Lead and support an agile technical team delivering data platform solutions
Help guide the delivery of AWS-based data pipelines, data lake components and producer-side data platform capability
Support the handover, ownership, maintenance and enhancement of pipelines and cloud components
Lead the team in building, testing and maintaining high-quality data pipelines
Ensure metadata is prepared and published accurately
Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy
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