Transaction Network Services Logo

Transaction Network Services

Sr. Software DB Development Engineer

Reposted 14 Days Ago
In-Office or Remote
18 Locations
165K-203K Annually
Senior level
In-Office or Remote
18 Locations
165K-203K Annually
Senior level
The role includes leading a team of database engineers, designing and optimizing Oracle databases and AWS data services, and overseeing data migration efforts. Responsibilities involve collaboration across teams, performance tuning, and managing production support.
The summary above was generated by AI

An extraordinarily talented group of individuals work together every day to drive TNS' success, from both professional and personal perspectives.  Come join the excellence!

Overview

The Software area is responsible for the development of computer programming systems and applications including the design, coding, testing and deployment of products and solutions to meet firm obligations.

Responsibilities

About the Role

We are seeking a Senior Database Engineering Lead with deep expertise in Oracle databases and the AWS data ecosystem, as well as management or team lead experience, who thrives as both a hands-on database expert and a people leader. This role is central to our cloud transformation initiatives and will lead the design, development, and optimization of scalable, secure, and high performance data solutions across hybrid environments.

You’ll work closely with Cloud Architects, Engineering, DevOps, and Application teams to modernize legacy systems, streamline data workflows, and enable data-driven decision-making across the organization.

What You'll Do:

  • Lead a team of database development engineers and serve as a hands-on contributor to deliver complex solutions and projects

  • Design, implement, and maintain Oracle databases and AWS-native data services (e.g., RDS, Aurora, DynamoDB, Redshift),

  • Lead data migration and modernization efforts from on-premises to AWS

  • Develop and optimize data models for transactional (OLTP) and analytical (OLAP) workloads

  • Implement high availability, disaster recovery, and backup strategies using RMAN, Data Guard, and AWS Backup

  • Drive performance tuning, capacity planning, scalability, and security hardening of data platforms

  • Mentor, manage performance, ensure coding standards, and act as a hands-on technical expert for complex issues

  • Plan, prioritize, and execute projects, ensuring timely delivery and alignment with product roadmaps

  • Collaborate with Architecture, Engineering, QA, DevOps, and Operations teams to deliver integrated, end-to-end solutions.

  • Monitor and troubleshoot data infrastructure using CloudWatch, Performance Insights, and other observability tools

  • Manage and participate in production support, incident response, root-cause analysis, and long-term problem remediation.

What You Bring:

  • 12 - 15+ years of experience in Oracle and other RDBMS technologies

  • Demonstrated experience performing hands-on database development and administration while leading engineering teams
  • Strong hands-on experience with AWS data services: RDS, Aurora, DynamoDB, Redshift, Glue, and S3
  • Proven success delivering complex database initiatives in large-scale, enterprise environments
  • Proven success in data migration projects using AWS DMS, Schema Conversion Tool, or custom automation

  • Expertise in SQL/PLSQL, query optimization, and indexing strategies

  • Experience with Infrastructure as Code (Terraform, CloudFormation)

  • Proficiency in Unix/Linux scripting, Python, or other automation tools

  • Familiarity with data governance, encryption, and compliance standards (HIPAA, GDPR)

  • A leadership style rooted in collaboration, mentorship, and leading by example

  • Excellent communication skills with the ability to translate complex technical topics across all levels of the organization

  • Strong analytical and troubleshooting skills with a track record of resolving high-impact production issues

Bonus Points:

  • Experience with Oracle ASM, GoldenGate, or Exadata

  • Knowledge of data warehousing, ETL pipelines, and big data technologies

  • AWS Certified Database – Specialty or equivalent certifications

  • Experience with Kubernetes and containerized data platforms.

  • Prior experience supporting mission-critical, 24x7 production systems

  • For this role, we anticipate paying $165,000k - $203,000K. This role is eligible for variable pay, issued as a monetary bonus or in another form. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate’s knowledge, skills, abilities, and geographic location. TNS offers a competitive benefit package including medical and dental coverage, life insurance, paid holidays and vacations, and a 401K plan with company match.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field

Qualifications

If you are passionate about technology, love personal growth and opportunity, come see what TNS is all about!

TNS is an equal opportunity employer. TNS evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

Similar Jobs

7 Minutes Ago
Remote
US
140K-180K Annually
Senior level
140K-180K Annually
Senior level
Big Data • Cloud • Software • Generative AI • Big Data Analytics
Run end-to-end technical sales cycles for enterprise AI agent deployments: discovery, solution design, demos, proofs-of-value, and technical close. Drive technical strategy, build internal champions, execute POVs, and translate technical impact into revenue growth while engaging engineers and executives.
Top Skills: AirflowBigQueryDatabricksDatabricks GenieDbtMonte CarloOpentelemetrySnowflakeSnowflake Cortex
11 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
195K-280K Annually
Senior level
195K-280K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Lead independent validation and governance of credit and fraud models, build automated Python monitoring for model drift and performance, drive remediation with model developers, and liaise with audit and regulators to support Affirm Bank's model risk management.
Top Skills: PandasPythonScikit-LearnSQLStatsmodels
15 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
109K-204K Annually
Senior level
109K-204K Annually
Senior level
Fintech • Mobile • Software • Financial Services
Serve as strategic HR advisor to Financial Services and Borrow/Operations Engineering leadership. Drive org design, compensation, performance management, employee relations, D&I, and development. Lead complex employee relations, provide executive coaching, use people analytics for data-informed decisions, partner with CoEs, and foster company culture and stakeholder relationships.
Top Skills: Ai ToolsHris PlatformsPeople AnalyticsWorkday

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account