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Senior Software Engineer Jobs in Manhattan, KS (NOW HIRING)

Gbmc

Senior Network Engineer

Chapman, KS

$79K - $143K/yr

Under limited supervision, the Network Engineer is accountable for high quality LAN/WAN networks ... Experience with Security software, disaster recovery, firewalls, network monitoring, etc. Skills:

Probook

Senior Product Marketing Manager

Manhattan, KS · On-site

$175 - $200/hr

Stay ahead of category shifts across home services software, AI‑enabled operations, and dispatch ... Partner with Engineering to ensure commercial readiness, including packaging, pricing input, and ...

All JobsSoftware Engineer JobsSenior Software Engineer JobsSenior Software Engineer Jobs in Manhattan, KS

Senior Software Engineer information

See Manhattan, KS salary details

$66.8K

$126.9K

$170K

How much do senior software engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for senior software engineer in Manhattan, KS is $126,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a senior software engineer?

A senior software engineer designs, codes, tests, and maintains computer software. While these are your primary responsibilities as a senior software engineer, you may also have supervisory duties. These include overseeing a team of junior software engineers or developers. The senior software engineer title is sometimes used interchangeably with senior developer, and positions for both may share similar job duties and responsibilities. In general, software engineers are distinguished from developers in that software engineers apply engineering principles to software development.

What are the key skills and qualifications needed to thrive as a senior software engineer, and why are they important?

To thrive as a Senior Software Engineer, you need advanced programming skills, deep understanding of software architecture, and several years of experience in software development, often supported by a relevant degree. Familiarity with tools like Git, CI/CD pipelines, cloud platforms, and expertise in technologies such as Java, Python, or JavaScript are typically required. Leadership, problem-solving, and effective communication are crucial soft skills for mentoring teams and collaborating across departments. These skills ensure the delivery of robust, scalable solutions and drive successful project outcomes in complex technical environments.

What are some common challenges senior software engineers face when mentoring junior team members?

Senior Software Engineers often mentor junior colleagues, which can be incredibly rewarding but also presents challenges. Balancing mentorship with project deadlines can be demanding, as it requires strong time management and communication skills. Additionally, adapting explanations to different learning styles and levels of experience can be tricky. However, effective mentorship helps build a stronger team and can lead to enhanced leadership opportunities for the senior engineer.

What is the difference between Senior Software Engineer vs Software Developer?

AspectSenior Software EngineerSoftware Developer
CredentialsBachelor's or higher in CS or related field; experience often 5+ yearsBachelor's in CS or related field; entry to mid-level experience
Work EnvironmentDesigning complex systems, leading projects, mentoringWriting code, developing features, debugging
Industry UsageUsed across tech companies, startups, enterpriseCommon in software firms, startups, freelance work
Search & ComparisonOften compared for experience level, responsibilitiesCompared for entry-level to mid-level roles

The main difference between a Senior Software Engineer and a Software Developer lies in experience, responsibilities, and scope. Senior Software Engineers typically have more experience, lead projects, and mentor others, while Software Developers focus on coding and feature development. Both roles are essential in tech companies, but the Senior Software Engineer position involves higher-level planning and leadership.

What does a senior software engineer do?

A senior software engineer designs, develops, and maintains software applications, often leading projects and mentoring junior team members. They analyze requirements, write code, perform testing, and collaborate with cross-functional teams to ensure quality and efficiency. Proficiency in programming languages, problem-solving skills, and experience with development tools are essential for this role.
More about Senior Software Engineer jobs

What are the most commonly searched types of Software Engineer jobs in Manhattan, KS?

The most popular types of Software Engineer jobs in Manhattan, KS are:

What cities near Manhattan, KS are hiring for Senior Software Engineer jobs?

Cities near Manhattan, KS with the most Senior Software Engineer job openings:

Senior Software Engineer jobs near you
Infographic showing various Senior Software Engineer job openings in Manhattan, KS as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,873 per year, or $61 per hour.

Senior Data Platform Engineer

Purple Wave Auction

Manhattan, KS • On-site, Remote

$100K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

Description
Build the Data Platform That Powers What's Next.
We're seeking a seasoned Senior Data Platform Engineer to design and operate the pipelines, services, and data products that the rest of the company builds on. In this role, you'll own the flow of data end to end - ingesting and transforming it through ETL/ELT and dbt, orchestrating reliable batch and streaming workflows, and exposing it through the APIs and microservices that product teams depend on, including the next generation of features powered by large language models (LLMs) and machine learning. Beyond hands-on engineering, you'll shape technical direction, mentor teammates, and help drive standardization across the department. If you're energized by building dependable data systems and excited to apply LLMs and ML to real product problems, we'd love to have you on the team.
We are seeking an experienced Senior Data Platform Engineer to join our data team in building and maintaining a robust data platform and the backend services around it, while providing technical guidance and mentorship. This role focuses on designing and shipping high-quality data pipelines and transformations - building and maintaining ETL/ELT and dbt workflows, orchestration, and data-quality and observability practices - alongside the Python microservices and APIs that serve data and integrate LLM and ML capabilities into production. You'll also contribute to technical direction at the team level and lead standardization efforts across the department, collaborating closely with product teams and stakeholders to deliver reliable, scalable, and well-documented data and backend systems.
Responsibilities:
  • Technical Collaboration
    • Contribute to technical direction and strategic planning at the team level.
    • Evaluate and recommend new technologies and approaches for backend and AI/ML evolution.
    • Provide technical guidance and code reviews for team members.
    • Provide technical guidance and support to product teams consuming backend services.
  • Data Pipelines, ETL & Transformation
    • Design, build, and maintain data pipelines and ETL/ELT workflows that ingest, move, and transform data across source systems, the warehouse, and downstream consumers.
    • Develop and maintain dbt models, tests, and documentation to support analytics, reporting, and product features.
    • Build and operate workflow orchestration for batch and streaming data (scheduling, dependency management, retries, and alerting).
    • Establish and enforce data quality, reliability, and observability practices across pipelines (monitoring, lineage, freshness, and validation).
    • Implement schema management, versioning, and migration patterns to evolve data models safely.
    • Optimize pipeline performance, cost, and scalability across the data platform.
  • Data Application Development & Maintenance
    • Design, develop, and maintain microservices in Python; familiarity with Go and/or TypeScript/JavaScript is a plus.
    • Design and build APIs and services that integrate LLMs and ML models - including retrieval-augmented generation, embeddings, prompt orchestration, tool/function calling, and agentic workflows.
    • Develop self-service tools and APIs that enable product teams to independently leverage backend and AI capabilities.
    • Establish patterns for safely, reliably, and cost-effectively operating LLM- and ML-backed features in production (evaluation, observability, guardrails, fallbacks).
    • Build and maintain CI/CD pipelines and deployment automation.
    • Create and maintain technical documentation and standards repositories.
  • Team Collaboration & Process
    • Work within an Agile framework to prioritize and deliver backend improvements.
    • Collaborate with product teams and stakeholders to understand requirements and pain points.
    • Help foster a culture of continuous learning, improvement, and technical excellence.
    • Encourage adoption of consistent tooling and processes across development teams.
    • Contribute to cross-team initiatives to improve developer experience and backend consistency.
  • Undertake additional assigned duties as requested.

Supervisory Responsibilities:
  • None.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field, OR 6+ years of professional software development experience in lieu of degree.
  • 5+ years of backend software development experience.
  • 2+ years of experience in technical leadership or mentoring roles.
  • Programming Languages: Expert proficiency in Python; familiarity with Go and/or TypeScript/JavaScript is a plus.
  • LLMs & Machine Learning: Practical experience integrating LLMs or ML models into production systems - including at least several of: prompt engineering, RAG, embeddings/vector search, tool/function calling, evaluation, and cost/latency optimization.
  • Databases: Advanced experience with MySQL, PostgreSQL, and Redis; familiarity with vector databases (e.g., pgvector, Pinecone, Weaviate) is a plus.
  • APIs: Proven experience designing, building, and operating RESTful APIs at scale.
  • CI/CD: Advanced pipeline design and implementation using industry best practices and tools.
  • Infrastructure: Experience with cloud providers (AWS, Azure, GCP); container orchestration experience (Kubernetes) is a plus.
  • Proven experience building and scaling backend services and APIs.
  • Deep understanding of microservice architecture patterns, distributed systems, and best practices.
  • Experience with observability tools and practices (monitoring, logging, tracing) - including for AI/ML workloads where applicable.
  • Strong ability to communicate complex technical concepts to diverse audiences.
  • Strong customer-focused mindset with emphasis on the developer and end-user experience.
  • Experience facilitating technical discussions and building consensus.
  • Demonstrated experience providing technical guidance.
  • Spanish speaking bi-lingual candidates are encouraged to apply.
  • Candidates may be requested to complete position specific skills assessments.
  • Applicants must be either a U.S. Citizen or eligible to work in the U.S.
  • Requires the ability to satisfactorily complete a background check.

Working Settings:
  • Full-time Salaried Exempt, not eligible for overtime.
  • Office hours are 8am-5pm, Monday through Friday, Central Time zone, additional hours may be required depending on priorities.
  • This position is remote work eligible within the United States. Please be aware: the first week of employment includes mandatory in-person training. Remote start arrangements are not available.
  • Also mandatory: One week a year of in-person training with the department.
  • Potential for 10% travel, should the need arise.
  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.

Compensation:
  • The salary varies based on experience and qualifications, but typically ranges from $100,000 to $125,000 per year.
  • Monthly Bonus Program - determined by the Company's monthly revenue result and are paid on a "percent to plan" payout formula (90% = $300, 100% = $600, 110% = $900, 120% = $1,200).
  • Monthly phone stipend in accordance with the Company's cell phone policy, currently $120/month.
  • Health, Dental, and Vision insurance.
  • 401(k) plan with an employer match up to 4% starting the first day of employment.
  • Company-paid Life Insurance with options for supplemental coverage.
  • Fully paid Short-Term Disability provided by the Company.
  • 3 Weeks of PTO annually (details shared during onboarding).
  • Employee Stock Purchase Program (ESPP) - Eligible to purchase company stock at a discount after 90 days of employment, with enrollment opportunities each May and November.

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