Lead Software Engineer, Data & Cloud Job at Pariveda (Chicago)

Lead Software Engineer, Data & Cloud

Pariveda is looking for lead software developers to design, develop, and deliver...

Location

United States , Houston

Salary:

105400.00 - 115900.00 USD / Year

Pariveda

Expiration Date

Until further notice

Requirements

3+ years of hands-on software development experience
Experience with technical leadership such as coaching others and/or leading pieces of projects (estimating/assigning tasks, putting together timelines, requirements gathering, design, etc.)
Client facing or consulting experience highly preferred
Skilled problem solvers with the desire and proven ability to create and implement innovative solutions
Adaptable attitude, able to balance multiple responsibilities, and adjust to varied environments
Ability to explain and present concepts to technical and non-technical audiences
Bachelor’s Degree in MIS, Computer Science, Math, Engineering, or comparable experience
Legally authorized to work for any company in the United States without sponsorship

Job Responsibility

Build custom solutions using a variety of technologies
Work in small, collaborative teams, while partnering with clients to solve real business challenges in an agile, people-first way
Lead small Pariveda teams and help teammates develop their skills and careers
Diagnose and solve complex problems for Fortune-500 clients in a variety of industries
Execute projects from start to finish and get exposure to all roles throughout the SDLC (manage projects, estimate, gather requirements, architect, develop, test, and deliver)
Explore different technologies and develop in cloud technologies like AWS, Azure, and Google Cloud
Build modern applications, data driven solutions, IoT, Machine Learning, AI, DevOps, and more with languages including: Python, .NET, Java, JavaScript, and SQL, Web technologies like React, Redux, Angular, Vue, and Mobile technologies including iOS and Android
Utilize AI strategically to enhance client solutions, incorporating AI tools to streamline development, uncover insights, and accelerate delivery while clearly communicating the value, limitations, and ethical use of AI to clients and stakeholders
Present findings, solutions, and demos to audiences including senior executives and stakeholders
Work within a hybrid model

What we offer

Transparent and Equitable Salary
Comprehensive medical, dental, and vision insurance for you and your family
Employer Health Savings Account (HSA) contribution
2% 401(k), vested immediately
Company ownership through Employee Stock Ownership Plan (ESOP)
Plenty of Paid Time Off – 4 weeks of vacation time, 10 holidays, 1 floating holiday
Paid sabbatical after 5 years of service for Principals and above
Paid parental leave & breast milk shipping costs reimbursed for work travel
Employee Assistance Program (EAP), health concierge, and financial wellness tool
Company paid cell phone plan and device stipend

Fulltime

Lead Software Engineer, Back End (Distributed Data & Computing Tools) (Cloud Operations Resilience Engineering)

Location

United States , Plano; McLean; Richmond

Salary:

179400.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 4 years of professional software engineering experience (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

What we offer

Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Software Engineer / Lead Software Engineer – Border Protection (Firewall) Technologies

The Border Protection Product Team within the Information Security-Network Secur...

Location

United States , Richardson

Salary:

97000.00 - 150000.00 USD / Year

State Farm

Expiration Date

Until further notice

Requirements

Java / Spring: 2–4 years of experience developing enterprise web applications using Java and Spring Framework (with a heavy emphasis on Spring Tool Suite).
Database Technologies: 2–4 years of experience working with PostgreSQL or DB2.
Application Server: 2–4 years of experience with Apache Tomcat as a web server/application deployment environment.
Required Programming Languages: Java
JavaScript
C++
C#
Python
Required Technical Skills and primary tools used: Spring Tool Suite
Microsoft Visual Studio

Job Responsibility

Create and maintain DBMS (Postgres) and IBM DB2
Create and deploy Java Spring applications in AWS, on EC2 servers, using Terraform code and Scalr
Use Azure for Entra ID for user management and authentication
Work with AWS Cloud, IaaS Servers, and Mainframe
Work with applications NSCRA (proprietary), nslookup (proprietary), Hot Spot Enabler (proprietary)

What we offer

Annual raise and bonus
Robust health and wellbeing programs
State Farm pays most of your healthcare premium
Multiple healthcare plan options including high deductible plan
100% coverage for in-network preventative care
Vision, dental, telemedicine, 24/7 mental health professionals
Educational benefits including training programs
Tuition assistance programs
Employee resource groups
Mentoring

Fulltime

Software engineer 2 / Senior Software engineer - Azure Data

Microsoft's Azure Data engineering team is leading the transformation of analyti...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Experience with the Azure stack including Storage, Compute, Networking, Fabric, Purview, Synapse, AKS, DevOps, Data Factory, or Power BI
Experience with big data technologies such as Spark, Kafka, Hadoop, or HBase
Experience building data lake or data engineering products, tools, or pipelines
Familiarity with container-based architectures (Docker, Kubernetes)
Ability to debug complex distributed systems on Linux and/or Windows platforms

Job Responsibility

Write extensible, maintainable code in C#, Java, Scala, or Python for Fabric Materialized Lake View services and HDInsight components
Use AI tools and coding best practices across the development lifecycle
Design data refresh, scheduling, and query optimisation features with minimal supervision
Review code from teammates for correctness, test coverage, security risks, and adherence to team standards
Coach junior engineers through code reviews
Debug complex issues in distributed systems running on Azure, Linux, and Windows
Run live site operations on a rotational, on-call basis
Integrate logging and instrumentation to gather telemetry on system health, performance, reliability, and security
Work with product managers, technical leads, and partners across geographies to define customer requirements for Materialized Lake View features

Fulltime

Lead Software Engineer, Data Protection

Lead Software Engineer, Data Protection Do you love building and pioneering in ...

Location

United States , McLean

Salary:

197300.00 - 225100.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 4 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead the design and build of platform services that centralize how data protection policies are authored, how findings are routed and scored, and how enforcement is applied across the DLP program, working in vertical slices that span schema, API, deployment automation, and production validation to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal and external technology communities, mentoring other members of the engineering community, and contributing to architectural decisions on data modeling, service boundaries, event design, and operational strategy
Collaborate with digital product managers, security partners, and DLP policy experts, and deliver robust cloud-based platform services that produce consistent, auditable outputs across vendors and channels and satisfy regulatory examination
Utilize programming languages like Go, Python, TypeScript, and SQL, schema validation systems including CUE and JSON Schema, Open Source RDBMS and NoSQL databases (PostgreSQL/Aurora), Container Orchestration services including Docker and ECS Fargate, and a variety of AWS tools and services including Lambda, Step Functions, EventBridge, and CDK

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Lead Software Engineer, Data Protection

Lead Software Engineer, Data Protection. Do you love building and pioneering in ...

Location

United States , McLean; Plano; Richmond; New York

Salary:

179400.00 - 245600.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's Degree
At least 4 years of experience in software engineering (Internship experience does not apply)
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Job Responsibility

Lead the design and build of platform services that centralize how data protection policies are authored, how findings are routed and scored, and how enforcement is applied across the DLP program, working in vertical slices that span schema, API, deployment automation, and production validation to create solutions that help meet regulatory needs for the company
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal and external technology communities, mentoring other members of the engineering community, and contributing to architectural decisions on data modeling, service boundaries, event design, and operational strategy
Collaborate with digital product managers, security partners, and DLP policy experts, and deliver robust cloud-based platform services that produce consistent, auditable outputs across vendors and channels and satisfy regulatory examination
Utilize programming languages like Go, Python, TypeScript, and SQL, schema validation systems including CUE and JSON Schema, Open Source RDBMS and NoSQL databases (PostgreSQL/Aurora), Container Orchestration services including Docker and ECS Fargate, and a variety of AWS tools and services including Lambda, Step Functions, EventBridge, and CDK

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
health, financial and other benefits

Fulltime

Lead Software Engineer - Cloud

The area of Scientific Computing in Airbus provides engineering with state of th...

Location

India , Bangalore

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Information Technology, or a related field
7-10 years of IT experience with at least 2 years of hands-on experience on the AWS Cloud platform
Proficiency in at least one of the following languages: Python or Shell script or TypeScript or Boto3 is mandatory
Deep expertise in core AWS services and building data platforms, including OpenSearch, Glue Catalog, EMR, and Redshift
Mandatory experience writing Infrastructure as Code (IaC) using CloudFormation or CDK
Proficiency with high-performance storage services like Amazon FSx for Lustre and Amazon EFS for shared file systems
Hands-on experience designing, developing, and maintaining data pipelines and workflows using an orchestration tool like Apache Airflow, Prefect, or Dagster
Solid understanding of security best practices (e.g., IAM Roles, KMS)
Previous exposure to designing and maintaining large-scale, cloud-native systems
Working knowledge of Agile Scrum, SAFe, or Kanban methodologies

Job Responsibility

Design, deploy, and maintain scalable and resilient cloud solutions for high-performance computing (HPC) and scientific simulation workloads
Optimize compute resources by selecting and managing appropriate Compute-optimized EC2 instances
Design and manage high-performance storage solutions using Amazon S3, Amazon EFS, and Amazon FSx
Automate cloud environment provisioning by developing and implementing Infrastructure as Code (IaC)
Monitor system performance and resource utilization with AWS CloudWatch
Monitor and troubleshoot workflow execution and pipeline failures
Collaborate with engineering teams to understand their computational needs and provide technical guidance
Troubleshoot and resolve complex technical issues related to compute, storage, and networking for scientific simulation jobs
Enforce and maintain security best practices, ensuring compliance with data governance and security policies
Contribute to the full development lifecycle within a self-sufficient, multi-disciplinary team

Fulltime

Senior Software Engineer and Principal Software Engineer - Power Point AI Team

The PowerPoint team is embarking on an exciting new chapter - evolving a product...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
8+ years of experience in backend service engineering, including work on high-scale infrastructures
Proficiency in one or more systems programming languages such as C#, C++
1+ years of experience in software engineering, designing and developing systems (and APIs) that deploy and integrate with AI models
2+ years of experience working with rich telemetry, making data driven decisions, and carrying out rapid experimentation
2+ years of experience building software for scale, performance, and reliability
Academic or industry experience with building, finetuning, deploying or building eval-driven systems utilizing the models (any category)

Job Responsibility

Lead design and delivery of complex, scalable AI features ensuring resilience and exceptional user experience
Drive technical strategy and architecture decisions across multiple services, influencing partner teams and aligning with compliance and security requirements
Champion modern engineering practices, including AI-driven approaches, automation, and cloud-native patterns, across the full development lifecycle
Mentor and guide engineers, fostering technical excellence and continuous improvement in security, reliability, and performance
Collaborate cross-org to solve challenging technical problems, streamline processes, and reduce operational costs while improving live-site health
Design and implement scalable backend services optimized for machine learning workflows and large language model integration
Develop and maintain evaluation-driven systems that leverage text and multimodal inputs (e.g., images) to power visual-creation experiences
Build and optimize APIs and infrastructure to support high-performance model inference and experimentation at scale
Collaborate with product, ML, and design teams to integrate models into user-facing features, ensuring seamless functionality and performance
Conduct model evaluations and experiments, analyze results, and iterate on improvements to enhance accuracy and user experience

Fulltime

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Lead Software Engineer, Data & Cloud

Job Description

Job Responsibility

Requirements

What we offer

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