aws software development engineer

Park Place Technologies

<div>AI Software Architect

The AI Software Architect is responsible for participating in all aspects of the software development life cycle from requirement gathering through user acceptance testing and implementation. In addition, this position will participate in the establishment and enforcement of programming patterns and standards, as well as provide mentorship to junior developers. 


Responsibilities: 

<ul>
<li>Collaborate with BAs and end users to interpret requirements into a technical design through onsite requirements gathering sessions, workshops, and solution design reviews.</li>
<li>Develop software according to end user requirements and quality standards.</li>
<li>Identify, document and implement programming patterns and set standards.</li>
<li>Perform code reviews to enforce patterns and standards in our code base while facilitating in-person knowledge sharing and architectural consistency across teams.</li>
<li>Lead POCs, design sessions, and pair programming efforts.</li>
<li>Mentor junior team members.</li>
<li>Participate in project planning and/or provide accurate estimates on projects/tasks through cross-functional planning meetings and stakeholder alignment discussions.</li>
<li>Participate in Story Card Grooming and Sprint Planning as requested.</li>
<li>Be available as needed to support production deployments.</li>
<li>Possess strong organizational and process analysis skills.</li>
<li>Effectively communicate both orally and in writing and manage multiple assignments and priorities.</li>
<li>Actively teach best practices and new technologies.</li>
<li>Hold teaching sessions at least once a year.</li>
<li>Facilitate daily standups and lead sprint demos as needed.</li>
<li>Assist managing the Azure DevOps task board as needed.</li>
<li>Assist with onboarding and training new resources.</li>
<li>Participate in interviews upon request.</li>
<li>Support, troubleshoot and resolve production issues, including facilitating in-person incident response discussions and cross-functional problem resolution when required.</li>
<li>Demonstrate willingness to work on your craft and take initiative in learning new skills.</li>
<li>Other duties as assigned.</li></ul> 


Basic Qualifications: 

<ul>
<li>Subject Matter Expert with Visual Studio, GIT and Azure DevOps</li>
<li>10+ years of application development experience across the following technologies:</li>
</ul><ul><li><ul><li>.Net Framework/Core</li>
<li>Angular</li>
<li>C#</li>
<li>JSON</li>
<li>SCSS/SASS</li>
<li>SQL</li>
<li>Test Driven Development/Unit Testing</li>
<li>Typescript, ES6</li>
<li>Web API/Rest</li>
<li>Agile Methodology</li>
<li>Asynchronous Programming</li>
<li>Azure Data Bricks</li>
<li>Azure Data Factory</li>
<li>Azure Functions</li>
<li>Azure Logic Apps</li>
<li>Azure PAAS</li>
<li>Browser Compatibility Testing</li>
<li>Cosmos DB</li>
<li>CQRS Pattern</li>
<li>Dependency Injection</li>
<li>Entity Framework &amp; LINQ</li>
<li>MicroServices</li>
<li>OData</li>
<li>Python</li></ul></li></ul> 

In addition to core software architecture duties, this position will lead the design, integration, and governance of AI/ML-driven solutions across the application portfolio, ensuring responsible and scalable adoption of AI capabilities. 


Additional Responsibilities 

<ul>
<li>Architect and design solutions incorporating AI/ML components, including LLM-based features, intelligent automation, and predictive models.</li>
<li>Evaluate and select appropriate AI frameworks, models, and platforms (e.g., Azure AI/OpenAI services, LangChain, vector databases) based on business requirements and technical constraints.</li>
<li>Design and implement Retrieval-Augmented Generation (RAG) pipelines, prompt engineering strategies, and model orchestration patterns.</li>
<li>Establish patterns and standards for responsible AI use, including data privacy, model governance, bias mitigation, and explainability.</li>
<li>Collaborate with data engineering and data science teams to integrate AI/ML models into production applications and CI/CD pipelines.</li>
<li>Design scalable architectures for embedding generation, semantic search, and vector storage/retrieval.</li>
<li>Evaluate build-vs-buy tradeoffs for AI tooling and vendor platforms.</li>
<li>Monitor AI solution performance, cost, and accuracy in production, and drive continuous improvement.</li>
<li>Stay current on emerging AI/ML technologies, LLM capabilities, and industry best practices, and evangelize relevant advances to engineering teams.</li>
<li>Mentor developers on AI-assisted development tools and practices (e.g., AI coding assistants, automated testing/generation tools).</li>
<li>Partner with security and compliance teams to ensure AI solutions meet regulatory and data governance requirements.</li></ul> 


Additional Basic Qualifications 

<ul>
<li>Demonstrated experience architecting or building solutions using Large Language Models (LLMs) and generative AI.</li>
<li>Experience with prompt engineering, RAG architectures, and vector databases (e.g., Cosmos DB vector search, Pinecone, Azure AI Search).</li>
<li>Familiarity with AI/ML orchestration frameworks (e.g., LangChain, Semantic Kernel) and MLOps practices.</li>
<li>Working knowledge of Python-based AI/ML libraries and APIs (e.g., OpenAI SDK, Azure OpenAI, Hugging Face).</li>
<li>Understanding of responsible AI principles: data privacy, model bias, explainability, and governance.</li>
<li>Experience integrating AI capabilities into cloud-native (Azure) application architectures.</li></ul> 


Education: 

<ul>
<li>Bachelor&rsquo;s degree or higher in Computer Science or related degree is preferred.</li></ul> 


Travel: 

<ul>
<li>&lt;5%</li></ul> 


If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by calling 1-877-778-8707. 


Park Place Technologies is an Equal Opportunity Employer M/F/D/V. 


Park Place Technologies has an in-house recruiting team that focuses exclusively on the hiring needs of our company. We are not currently accepting additional third-party agreements or unsolicited resumes. If you would like to be considered as a preferred partner with Park Place Technologies, please submit your detailed information to careers@parkplacetech.com. Any CVs submitted directly to hiring managers will be considered unsolicited and become the property of Park Place Technologies.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</div>

AI Software Architect

Occam Solutions

<div>Primary Responsibility 
The DevSecOps Engineer shall serve as the lead technical engineer responsible for designing, implementing, securing, automating, and sustaining the cloud infrastructure supporting the Office of Naval Research (ONR) Data &amp; Analytics environment. The DevSecOps Engineer shall lead the implementation and execution of the technical requirements identified in PWS Section 4.5 &ndash; Technical Infrastructure and Platform Support, including infrastructure automation, Continuous Integration/Continuous Deployment (CI/CD), cloud security, container orchestration, Infrastructure-as-Code (IaC), and operational sustainment of the FedRAMP High and DoD Impact Level 5 (IL5) cloud environment. 
The DevSecOps Engineer shall architect and maintain secure cloud infrastructure, automate deployment pipelines, support AI/ML platform integration, implement cloud-native security controls, monitor system health and security events, and ensure compliance with DoD cybersecurity requirements. This position will work closely with software developers, data engineers, cloud architects, cybersecurity personnel, and Government stakeholders to deliver resilient, scalable, and secure cloud services. 
Duties and Responsibilities

The DevSecOps Engineer shall:
<ul>
<li>Design, deploy, automate, and maintain secure cloud infrastructure supporting mission applications and analytics platforms.</li>
<li>Develop, implement, and manage automated CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or equivalent technologies.</li>
<li>Build and maintain Infrastructure-as-Code (IaC) solutions utilizing Terraform, Ansible, or similar automation frameworks.</li>
<li>Implement and manage containerized application environments using Docker, Kubernetes, or comparable orchestration platforms.</li>
<li>Configure, monitor, and optimize cloud-native security services including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), endpoint protection, and Security Information and Event Management (SIEM) platforms.</li>
<li>Analyze security logs, audit events, vulnerability reports, and SIEM alerts to identify threats, recommend mitigation strategies, and support incident response activities.</li>
<li>Support continuous Authority to Operate (ATO) compliance through configuration management, security patching, vulnerability remediation, and security documentation.</li>
<li>Implement secure API management, identity and access management (IAM), secrets management, encryption, and least-privilege access controls.</li>
<li>Develop automated monitoring, logging, alerting, and operational dashboards to improve system reliability and performance.</li>
<li>Support deployment and operationalization of AI/ML platforms and services, including cloud-native machine learning environments.</li>
<li>Collaborate with software developers, data engineers, and cloud architects to integrate security throughout the software development lifecycle (SDLC).</li>
<li>Ensure cloud infrastructure complies with DoD cybersecurity policies, FedRAMP High requirements, DoD IL5 controls, and applicable security frameworks.</li>
<li>Support system scalability, resilience, disaster recovery, and operational continuity.</li>
<li>Document system architectures, deployment procedures, security configurations, and operational processes.</li></ul> 


Minimum Qualifications

The DevSecOps Engineer shall meet the requirements for the &quot;DevSecOps Engineer &ndash; Intermediate&quot; labor category as defined in the CHESS ITES-3S contract vehicle and possess the following additional qualifications:
<ul>
<li>Seven (7) years of combined experience in DevSecOps, DevOps, SecOps, or MLOps engineering and development.</li>
<li>Five (5) years of hands-on experience designing, securing, implementing, and maintaining cloud environments, preferably within AWS GovCloud, Azure Government, or similarly regulated cloud environments.</li>
<li>Demonstrated experience supporting cloud environments operating under FedRAMP High, DoD Impact Level 5 (IL5), or comparable federal security requirements.</li>
<li>Verifiable experience on at least two (2) projects designing, implementing, and managing Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins, GitLab CI/CD, Azure DevOps, GitHub Actions, or equivalent technologies.</li>
<li>Demonstrated expertise implementing and managing containerization and orchestration technologies, including Docker, Kubernetes, OpenShift, or similar platforms.</li>
<li>Hands-on experience implementing Infrastructure-as-Code (IaC) using Terraform, Ansible, CloudFormation, or comparable automation tools.</li>
<li>Experience configuring and administering cloud-native security capabilities including Web Application Firewalls (WAF), Intrusion Detection/Prevention Systems (IDS/IPS), Security Information and Event Management (SIEM), vulnerability management, and cloud security monitoring solutions.</li>
<li>Verifiable experience analyzing security logs, SIEM data, audit records, and threat intelligence to identify vulnerabilities, investigate security events, and implement corrective actions.</li>
<li>Experience implementing secure Identity and Access Management (IAM), encryption, secrets management, and Zero Trust security principles.</li>
<li>Experience supporting automated monitoring, logging, system performance optimization, and operational sustainment of enterprise cloud platforms.</li>
<li>Strong understanding of DevSecOps best practices, secure software development lifecycle (SSDLC), and cloud security architectures.</li> 
</ul>
Qualifications
<ul>
<li>Active Secret security clearance (required).</li>
<li>Current DoD 8140 (or legacy DoD 8570) cybersecurity certification applicable to privileged access functions (e.g., Security+, CySA+, CASP+, CISSP, CCSP).</li>
<li>AWS Certified DevOps Engineer &ndash; Professional, AWS Security Specialty, Azure DevOps Engineer Expert, Certified Kubernetes Administrator (CKA), or comparable cloud certifications.</li>
<li>Experience supporting AI/ML environments, including AWS SageMaker, Azure Machine Learning, or similar platforms.</li>
<li>Experience with streaming data technologies such as Apache Kafka, AWS Kinesis, or equivalent event-driven architectures.</li>
<li>Familiarity with NIST RMF, DISA STIGs, FedRAMP, Zero Trust Architecture, and DoD cybersecurity compliance requirements.</li></ul></div>

DevSecOps Engineer

RuShaM IT Services LLC

Application Security Engineer &ndash; Data SecurityLocation: Plano, TX (Hybrid &ndash; 3 days onsite per week) Duration: 6+ Months Contract (Extension Possible)OverviewWe are seeking an Application Security Engineer &ndash; Data Security to join a global cybersecurity team focused on protecting enterprise data through automation, secure application development, and modern security technologies. This role requires a hands-on engineer who enjoys solving complex security challenges, building scalable solutions, and collaborating with cross-functional teams.Note: Candidates must be local to Plano, TX and able to work onsite 3 days per week.Responsibilities<ul><li>Develop and maintain automation, tooling, and scalable software solutions for enterprise data security initiatives.</li><li>Build security-focused applications using Python, JavaScript, and object-oriented languages such as Java, C++, or C#.</li><li>Support Data Loss Prevention (DLP), Cloud Data Protection, Data Classification, Encryption, Access Governance, and related cybersecurity initiatives.</li><li>Integrate APIs and automation tools to collect KPIs/KRIs and improve operational efficiency.</li><li>Work with CI/CD pipelines and cloud platforms including AWS, Azure, or GCP.</li><li>Collaborate with Security Operations, Enterprise Architecture, Privacy, Legal, and Platform Engineering teams.</li><li>Create technical documentation including system architecture, design documents, and data flow diagrams.</li><li>Identify security vulnerabilities and implement improvements across enterprise applications and platforms.</li></ul>Required Skills<ul><li>4+ years of experience in Cybersecurity, Software Development, or Computer Engineering.</li><li>Strong programming experience with Python and JavaScript.</li><li>Hands-on experience with Java, C++, or C#.</li><li>Experience with one or more data security technologies:</li><li>DLP</li><li>CASB</li><li>SASE</li><li>DSPM</li><li>PAM</li><li>Experience with endpoint security technologies.</li><li>Experience working with AWS, Azure, or GCP.</li><li>Knowledge of Git, CI/CD pipelines, Docker, and containerization.</li><li>Strong understanding of:</li><li>Encryption vs. Hashing</li><li>Authentication vs. Authorization</li><li>Secure Secrets Management/Vaults</li><li>Salting and Weak Hashing Algorithms</li></ul>Preferred Qualifications<ul><li>Experience working in Agile development environments.</li><li>Security certifications such as:</li><li>Security+</li><li>CEH</li><li>CISSP</li><li>OSCP</li><li>CISM</li><li>CISA</li><li>GPEN</li><li>GWAPT</li></ul>Pay: $60.00 - $65.00 per hourWork Location: Hybrid remote in Plano, TX 75023

Application Security Engineer - Data Security

Capital One

<div>Lead Software Engineer, Full Stack
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. 
About the Team: We are seeking a Lead Software Engineer to own the lifecycle of a massive, high-velocity data ecosystem. We currently manage a large Cloudera-based stack (HBase, Kafka, NiFi) hosted on AWS EC2 and over the next 24 months, we are migrating this entire infrastructure to a modern, AWS-native serverless/managed architecture stack. 
What You&rsquo;ll Do: 
Maintain &amp; Optimize: Ensure the current Cloudera/HBase/Kafka production environment remains performant and stable during the transition.<ul><li>
Lead the Migration: Design and execute the phased migration of billions of records to AWS Stack with zero data loss and minimal downtime.</li><li>
Enable Application Teams: Work directly with internal application developers to refactor data consumers, ensuring a smooth cutover from HBase APIs to new AWS-native access patterns.</li><li>
Enforce Compliance: Implement and maintain strict data governance and security protocols (encryption, auditing, and lineage) to ensure the system remains compliant throughout the migration.</li><li>
Modernize Ingestion: Transition legacy NiFi and Kafka workflows into streamlined, cloud-native pipelines using AWS MSK, Lambda, and Glue.</li></ul> 
Basic Qualifications:<ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 4 years of experience in software engineering (Internship experience does not apply)</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li></ul> 
Preferred Qualifications:<ul><li>
Master's Degree</li><li>
5+ years of experience with the Hadoop ecosystem, specifically HBase (RegionServer tuning, schema design) and NiFi.</li><li>
3+ years of experience architecting and deploying AWS DocumentDB or DynamoDB at a multi-billion record scale.</li><li>
3+ years of experience with Apache Kafka (both self-managed and AWS MSK) and AWS Lambda.</li><li>
3+ years of experience maintaining live production systems.</li><li>
1+ years of experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion</li><li>
AWS Certified Data Engineer (Associate)</li><li>
AWS Certified Solutions Architect (Professional)</li><li>
AWS Certified CloudOps Engineer (Associate) or SysOps Administrator.</li></ul> 
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Riverwoods, IL: $179,400 - $204,700 for Lead Software Engineer 

McLean, VA: $197,300 - $225,100 for Lead Software Engineer 

Plano, TX: $179,400 - $204,700 for Lead Software Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Lead Software Engineer, Full Stack

VTG Defense

<div>Overview:
<div>
VTG is looking for a Data Engineer in Chantilly, VA</div> 
<div></div>
Responsibilities:
<div>
Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms that support analytics, AI/ML, and business intelligence initiatives. This role focuses on cloud architecture, data engineering, pipeline development, and modernization efforts while collaborating with cross-functional teams to deliver secure, high-performance data solutions in a mission-driven environment.</div>
Qualifications:
<div>Required Skills and Qualifications:</div><ul><li>
3+ years of experience designing cloud-native data platforms in AWS</li><li>
2+ years of experience designing scalable data lake, warehouse, and analytics solutions</li><li>
2+ years of experience with cloud migration and modernization efforts</li><li>
2+ years of experience with the data pipelines, including data acquisition, data prep, and database architecture</li><li>
Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards</li><li>
Experience with non-relational and semi-relational databases</li><li>
Experience creating software for retrieving, parsing, and processing structured and unstructured data</li><li>
Experience with team lead functions, creating solutions within a collaborative and cross-functional team environment</li><li>
TS/SCI clearance with a polygraph</li><li>
Bachelor's degree in CS</li></ul><div>
</div><div>
Preferred Skills and Qualifications:</div><ul><li>
Experience with Pyspark and Spark ecosystems such as Databricks and EMR</li><li>
Experience evaluating data analytic or science technologies and platforms</li><li>
Experience going through an A&amp;A process or leading modifications</li><li>
Experience with Cloud Architecture and evaluating and selecting cloud analytics architectures</li><li>
Experience with Data Marts and Data Warehouses and creating, managing, and troubleshooting complex operational data flows</li><li>
Experience with Source code management and integration such as GitHub</li><li>
Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS)</li><li>
Experience with scripting languages such as Python and SQL</li><li>
Experience with APIs development</li><li>
AWS architecture Certifications such as Solution Architect Certification</li></ul></div>

Data Engineer

Capital Technology Group

<div><div>Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity.

Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services.</div><div>

Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance
<h3 class="jobSectionHeader">
The CTG Experience</h3>

At Capital Technology Group (CTG), our teams are passionate about modernizing how the federal government delivers software. We partner with federal agencies to build secure, scalable, and mission-driven solutions that make a meaningful impact on millions of people. Recognized by The Washington Post as a Top Workplace in 2025 and 2026. CTG fosters a culture rooted in our core values. Our values guide how we work together and support one another, creating an environment where employees feel trusted, empowered, and encouraged to grow both personally and professionally.
<h3 class="jobSectionHeader">
About the Role</h3>

CTG is seeking a Senior Data Engineer to design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices. The Senior Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and technologies, assessing their risks and benefits to deliver exceptional value to our clients.
<h3 class="jobSectionHeader">
You Will Get To</h3>
</div><div><ul><li>Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and data models using Python, Apache Spark (PySpark), Databricks, dbt, SQL (PostgreSQL), and AWS Glue.</li>
<li>Develop and optimize AWS-native data platforms leveraging AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), Lambda, Step Functions, Amazon S3, Redshift, RDS, DMS, and CloudWatch.</li>
<li>Build high-performance ingestion, transformation, and orchestration workflows for structured and semi-structured data using Apache Iceberg, Parquet, ORC, and Avro.</li>
<li>Design and optimize analytical data platforms using Amazon Athena, Trino, Hive, OpenSearch, and enterprise data catalog technologies.</li>
<li>Integrate enterprise and external data sources across relational and NoSQL platforms including PostgreSQL, Oracle, Redshift, GraphDB, and other NoSQL databases.</li>
<li>Build AI-enabled data solutions using Amazon Bedrock, RAG pipelines, and vector search technologies including Amazon S3 Vector and OpenSearch vector indexes.</li>
<li>Develop cloud infrastructure using CloudFormation (Infrastructure as Code), GitHub, Harness, and enterprise CI/CD pipelines while leveraging SNS, SQS, and EventBridge for event-driven architectures.</li>
<li>Improve the reliability, scalability, performance, and maintainability of enterprise data platforms through monitoring, troubleshooting, automation, and continuous optimization.</li>
<li>Support mission-critical analytics and reporting solutions within large-scale AWS-based federal data environments, implementing solutions that comply with FedRAMP and NIST 800-53 security controls.</li>
<li>Lead modernization initiatives migrating legacy platforms including IBM DataStage, Hadoop, RunDeck, and shell-based workflows to cloud-native AWS services.</li>
<li>Mentor junior engineers through technical guidance, architecture discussions, and code reviews while promoting engineering best practices.</li>
<li>Collaborate with cross-functional teams in an Agile environment to define requirements, deliver high-quality data solutions, and communicate technical concepts effectively to technical and non-technical stakeholders.</li>
</ul><div><h3 class="jobSectionHeader">Who You Are</h3>
<ul><li>A strategic data engineer who enjoys designing complex systems and solving complex challenges</li>
<li>Strong in modern cloud-based solution design</li>
<li>Comfortable balancing business needs with technical constraints and long-term strategy</li>
<li>A strong communicator</li>
<li>Collaborative, proactive, and comfortable navigating ambiguity</li>
</ul><h3 class="jobSectionHeader">Qualifications</h3>
</div></div><ul><li>Bachelor's degree in Computer Science, Engineering, or a related technical field</li>
<li>9+ years of professional experience in data engineering or related domains</li>
<li><div>Strong hands-on experience with:</div>
<ul><li>Databricks, Apache Spark (PySpark), Python, SQL (PostgreSQL), and dbt for large-scale data engineering, ETL/ELT development, data transformation, and data modeling.</li>
<li>Designing, building, and maintaining AWS-native data platforms using AWS Glue, Amazon EMR, Amazon MWAA (Apache Airflow), AWS Lambda, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, AWS DMS, and Amazon CloudWatch.</li>
<li>Developing scalable data pipelines, workflow orchestration, and data integration solutions across enterprise environments.</li>
<li>Working with modern data lake technologies including Apache Iceberg and data formats such as Parquet, ORC, and Avro.</li>
<li>Designing and optimizing solutions using relational and NoSQL databases including PostgreSQL, Redshift, Oracle, GraphDB, and other NoSQL platforms.</li>
<li>Building reliable, high-performance data platforms through performance tuning, system optimization, and enterprise-scale ETL/ELT architectures.</li>
<li>Java development and modern CI/CD practices using Harness.</li>
</ul></li><li>Strong analytical and problem-solving skills</li>
<li>Experience working in agile, iterative software development environments</li>
<li>Ability to quickly learn and apply new technologies and domain knowledge</li>
<li>Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3>
<ul><li>Experience supporting analytics, data engineering, or modernization initiatives for financial regulators, capital markets, or other highly regulated environments is a plus.</li>
<li>Experience with Kafka (streaming/data pipelines)</li>
<li>Experience with Docker and Kubernetes for containerization and orchestration</li>
<li>Proficiency with Splunk for log aggregation and system monitoring</li>
<li>Experience using Terraform for infrastructure automation and management</li>
<li>Strong SQL skills, including performance tuning and complex query design</li>
</ul><h3 class="jobSectionHeader">Salary</h3>

We are committed to offering a competitive salary for this position, with an estimated range of $130k to $165k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change.<div> 
</div><div><div>
<h4 class="jobSectionHeader">Full Time Employee Benefits</h4>
<div><ul><li>Remote Work (Hybrid roles will be specified in the job post)</li>
<li>Competitive Compensation Package</li>
<li>Medical, Dental, and Vision</li>
<li>Life Insurance, Short/Long Term Disability</li>
<li>Employee Assistance Program</li>
<li>401(k) with 4% matching</li>
<li>Liberal PTO vacation policy</li>
<li>Generous Annual Continuing Education</li>
<li>Annual Wellness Budget</li>
<li>Bonus Incentive Programs (Employee referrals and performance-based rewards)</li>
</ul>
Thanks for your interest in Capital Technology Group!

Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.</div></div></div></div>

Senior Data Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Seeking a talented Software Development Engineer II to join our innovative team and drive technical excellence. You'll design, develop, and scale robust software solutions, leveraging your expertise in system architecture and programming to solve complex challenges. Ideal candidates will bring strong technical skills, creativity, and a passion for building high-performance software systems. 
 
Key points to highlight: 
 
<ul><li>Mission-driven software development</li><li>Opportunity to design and architect scalable systems</li><li>Collaborative team environment</li><li>Potential for significant technical impact</li></ul> 
Key job responsibilities 
Technical Skills: 
AWS Services expertise: S3, DynamoDB, Lambda, CloudFormation, EventBridge, Glue, Lake Formation, Redshift, IAM, KMS, RAM 
Backend development: Java, serverless architecture, API design 
Security: IAM policies, encryption (client-side and server-side), attribute-based access control (ABAC) 
Data systems: Data catalogs, metadata management, asset ingestion workflows 
Distributed systems: Event-driven architecture, asynchronous workflows, workflow orchestration 
 
Soft Skills: 
Cross-functional collaboration 
System design and documentation 
Problem-solving in complex distributed environments 
 
About the team 
ABOUT AWS: 
Diverse Experiences
 
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS
 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Work/Life Balance
 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
Inclusive Team Culture
 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
Mentorship and Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, East Palo Alto - 165,200.00 - 223,600.00 USD annually</div>

Software Development Engineer, AWS Catalog

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